82 results on '"David, Zonies"'
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2. Modulation of the Association Between Age and Death by Risk Factor Burden in Critically Ill Patients With COVID-19
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Ashwin Sunderraj, BS, Chloe Cho, Xuan Cai, MS, Shruti Gupta, MD, MPH, Rupal Mehta, MD, MSCI, Tamara Isakova, MD, MMSc, David E. Leaf, MD, MMSc, Anand Srivastava, MD, MPH, STOP-COVID Investigators, Carl P. Walther, Samaya J. Anumudu, Justin Arunthamakun, Kathleen F. Kopecky, Gregory P. Milligan, Peter A. McCullough, Thuy-Duyen Nguyen, Shahzad Shaefi, Megan L. Krajewski, Sidharth Shankar, Ameeka Pannu, Juan D. Valencia, Sushrut S. Waikar, Zoe A. Kibbelaar, Ambarish M. Athavale, Peter Hart, Shristi Upadhyay, Ishaan Vohra, Ajiboye Oyintayo, Adam Green, Jean-Sebastien Rachoin, Christa A. Schorr, Lisa Shea, Daniel L. Edmonston, Christopher L. Mosher, Alexandre M. Shehata, Zaza Cohen, Valerie Allusson, Gabriela Bambrick-Santoyo, Noor ul aain Bhatti, Bijal Mehta, Aquino Williams, Samantha K. Brenner, Patricia Walters, Ronaldo C. Go, Keith M. Rose, Miguel A. Hernán, Amy M. Zhou, Ethan C. Kim, Rebecca Lisk, Lili Chan, Kusum S. Mathews, Steven G. Coca, Deena R. Altman, Aparna Saha, Howard Soh, Huei Hsun Wen, Sonali Bose, Emily A. Leven, Jing G. Wang, Gohar Mosoyan, Girish N. Nadkarni, Pattharawin Pattharanitima, Emily J. Gallagher, Allon N. Friedman, John Guirguis, Rajat Kapoor, Christopher Meshberger, Katherine J. Kelly, Chirag R. Parikh, Brian T. Garibaldi, Celia P. Corona-Villalobos, Yumeng Wen, Steven Menez, Rubab F. Malik, Carmen Elena Cervantes, Samir C. Gautam, Mary C. Mallappallil, Jie Ouyang, Sabu John, Ernie Yap, Yohannes Melaku, Ibrahim Mohamed, Siddhartha Bajracharya, Isha Puri, Mariah Thaxton, Jyotsna Bhattacharya, John Wagner, Leon Boudourakis, H. Bryant Nguyen, Afshin Ahoubim, Leslie F. Thomas, Dheeraj Reddy Sirganagari, Pramod K. Guru, Kianoush Kashani, Shahrzad Tehranian, Yan Zhou, Paul A. Bergl, Jesus Rodriguez, Jatan A. Shah, Mrigank S. Gupta, Princy N. Kumar, Deepa G. Lazarous, Seble G. Kassaye, Michal L. Melamed, Tanya S. Johns, Ryan Mocerino, Kalyan Prudhvi, Denzel Zhu, Rebecca V. Levy, Yorg Azzi, Molly Fisher, Milagros Yunes, Kaltrina Sedaliu, Ladan Golestaneh, Maureen Brogan, Neelja Kumar, Michael Chang, Jyotsana Thakkar, Ritesh Raichoudhury, Akshay Athreya, Mohamed Farag, Edward J. Schenck, Soo Jung Cho, Maria Plataki, Sergio L. Alvarez-Mulett, Luis G. Gomez-Escobar, Di Pan, Stefi Lee, Jamuna Krishnan, William Whalen, David Charytan, Ashley Macina, Sobaata Chaudhry, Benjamin Wu, Frank Modersitzki, Anand Srivastava, Alexander S. Leidner, Carlos Martinez, Jacqueline M. Kruser, Richard G. Wunderink, Alexander J. Hodakowski, Juan Carlos Q. Velez, Eboni G. Price-Haywood, Luis A. Matute-Trochez, Anna E. Hasty, Muner MB. Mohamed, Rupali S. Avasare, David Zonies, David E. Leaf, Shruti Gupta, Meghan E. Sise, Erik T. Newman, Samah Abu Omar, Kapil K. Pokharel, Shreyak Sharma, Harkarandeep Singh, Simon Correa, Tanveer Shaukat, Omer Kamal, Wei Wang, Heather Yang, Jeffery O. Boateng, Meghan Lee, Ian A. Strohbehn, Jiahua Li, Ariel L. Mueller, Roberta E. Redfern, Nicholas S. Cairl, Gabriel Naimy, Abeer Abu-Saif, Danyell Hall, Laura Bickley, Chris Rowan, Farah Madhani-Lovely, Vivian S. Cruz, Kristen M. Hess, Alanna L. Jacobs, Vasil Peev, Jochen Reiser, John J. Byun, Andrew Vissing, Esha M. Kapania, Zoe Post, Nilam P. Patel, Joy-Marie Hermes, Anne K. Sutherland, Amee Patrawalla, Diana G. Finkel, Barbara A. Danek, Sowminya Arikapudi, Jeffrey M. Paer, Peter Cangialosi, Mark Liotta, Jared Radbel, Sonika Puri, Jag Sunderram, Matthew T. Scharf, Ayesha Ahmed, Ilya Berim, Jayanth S. Vatson, Shuchi Anand, Joseph E. Levitt, Pablo Garcia, Suzanne M. Boyle, Rui Song, Jingjing Zhang, Sang Hoon Woo, Xiaoying Deng, Goni Katz-Greenberg, Katharine Senter, Moh’d A. Sharshir, Vadym V. Rusnak, Muhammad Imran Ali, Anip Bansal, Amber S. Podoll, Michel Chonchol, Sunita Sharma, Ellen L. Burnham, David J. Douin, Arash Rashidi, Rana Hejal, Eric Judd, Laura Latta, Ashita Tolwani, Timothy E. Albertson, Jason Y. Adams, Steven Y. Chang, Rebecca M. Beutler, Carl E. Schulze, Etienne Macedo, Harin Rhee, Kathleen D. Liu, Vasantha K. Jotwani, Jay L. Koyner, Chintan V. Shah, Vishal Jaikaransingh, Stephanie M. Toth-Manikowski, Min J. Joo, James P. Lash, Javier A. Neyra, Nourhan Chaaban, Madona Elias, Yahya Ahmad, Alfredo Iardino, Elizabeth H. Au, Jill H. Sharma, Marie Anne Sosa, Sabrina Taldone, Gabriel Contreras, David De La Zerda, Hayley B. Gershengorn, Bhavarth Shukla, Alessia Fornoni, Tanira Ferreira, Salim S. Hayek, Pennelope Blakely, Hanna Berlin, Tariq U. Azam, Husam Shadid, Michael Pan, Patrick O’ Hayer, Chelsea Meloche, Rafey Feroze, Rayan Kaakati, Danny Perry, Abbas Bitar, Elizabeth Anderson, Kishan J. Padalia, John P. Donnelly, Andrew J. Admon, Jennifer E. Flythe, Matthew J. Tugman, Emily H. Chang, Brent R. Brown, Amanda K. Leonberg-Yoo, Ryan C. Spiardi, Todd A. Miano, Meaghan S. Roche, Charles R. Vasquez, Amar D. Bansal, Natalie C. Ernecoff, Sanjana Kapoor, Siddharth Verma, Huiwen Chen, Csaba P. Kovesdy, Miklos Z. Molnar, Ambreen Azhar, S. Susan Hedayati, Mridula V. Nadamuni, Shani Shastri, Duwayne L. Willett, Samuel A.P. Short, Amanda D. Renaghan, Kyle B. Enfield, Pavan K. Bhatraju, A. Bilal Malik, Matthew W. Semler, Anitha Vijayan, Christina Mariyam Joy, Tingting Li, Seth Goldberg, Patricia F. Kao, Greg L. Schumaker, Nitender Goyal, Anthony J. Faugno, Caroline M. Hsu, Asma Tariq, Leah Meyer, Ravi K. Kshirsagar, Daniel E. Weiner, Aju Jose, Marta Christov, Jennifer Griffiths, Sanjeev Gupta, Aromma Kapoor, Perry Wilson, Tanima Arora, and Ugochukwu Ugwuowo
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Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
OBJECTIVES:. Older age is a key risk factor for adverse outcomes in critically ill patients with COVID-19. However, few studies have investigated whether preexisting comorbidities and acute physiologic ICU factors modify the association between age and death. DESIGN:. Multicenter cohort study. SETTING:. ICUs at 68 hospitals across the United States. PATIENTS:. A total of 5,037 critically ill adults with COVID-19 admitted to ICUs between March 1, 2020, and July 1, 2020. INTERVENTIONS:. None. MEASUREMENTS AND MAIN RESULTS:. The primary exposure was age, modeled as a continuous variable. The primary outcome was 28-day inhospital mortality. Multivariable logistic regression tested the association between age and death. Effect modification by the number of risk factors was assessed through a multiplicative interaction term in the logistic regression model. Among the 5,037 patients included (mean age, 60.9 yr [± 14.7], 3,179 [63.1%] male), 1,786 (35.4%) died within 28 days. Age had a nonlinear association with 28-day mortality (p for nonlinearity
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- 2022
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3. Design of an entrustable professional activity for adult extracorporeal membrane oxygenation
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W. Christian Crannell, Bishoy Zakhary, Heather Hamilton, Karen Brasel, and David Zonies
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Surgery ,RD1-811 - Abstract
Background: Extracorporeal membrane oxygenation supports severe cardiac or pulmonary failure. There are currently no competency-based standards for extracorporeal membrane oxygenation training. Methods: Extracorporeal membrane oxygenation experts were interviewed using a structured interview. Responses were audio recorded, transcribed, and validated by respondents. Interviews were coded using grounded theory with a constant comparison method. Themes were developed and used to construct the entrustable professional activity, which was reviewed by the extracorporeal membrane oxygenation experts. Results: Nine experts were interviewed; all had experience with trainees. Interview themes identified include patient selection, circuit and medical management, multidisciplinary communication, problem-based learning and simulation, and entrustment decisions. Essential functions of the entrustable professional activity were patient selection, circuit management, cannula selection, responding to circuit emergencies/complications, anticoagulation management, weaning, and family/team communication. Conclusions: Essential functions of an extracorporeal membrane oxygenation entrustable professional activity were defined using data from structured interviews. The resultant entrustable professional activity could be implemented by critical-care programs as a scaffolding for competency-based fellow training.
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- 2020
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4. Performance of crisis standards of care guidelines in a cohort of critically ill COVID-19 patients in the United States
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Julia L. Jezmir, Maheetha Bharadwaj, Alexander Chaitoff, Bradford Diephuis, Conor P. Crowley, Sandeep P. Kishore, Eric Goralnick, Louis T. Merriam, Aimee Milliken, Chanu Rhee, Nicholas Sadovnikoff, Sejal B. Shah, Shruti Gupta, David E. Leaf, William B. Feldman, Edy Y. Kim, Carl P. Walther, Samaya J. Anumudu, Justin Arunthamakun, Kathleen F. Kopecky, Gregory P. Milligan, Peter A. McCullough, Thuy-Duyen Nguyen, Shahzad Shaefi, Megan L. Krajewski, Sidharth Shankar, Ameeka Pannu, Juan D. Valencia, Sushrut S. Waikar, Zoe A. Kibbelaar, Ambarish M. Athavale, Peter Hart, Shristi Upadhyay, Ishaan Vohra, Ajiboye Oyintayo, Adam Green, Jean-Sebastien Rachoin, Christa A. Schorr, Lisa Shea, Daniel L. Edmonston, Christopher L. Mosher, Alexandre M. Shehata, Zaza Cohen, Valerie Allusson, Gabriela Bambrick-Santoyo, Noor ul aain Bhatti, Bijal Mehta, Aquino Williams, Samantha K. Brenner, Patricia Walters, Ronaldo C. Go, Keith M. Rose, Miguel A. Hernán, Amy M. Zhou, Ethan C. Kim, Rebecca Lisk, Lili Chan, Kusum S. Mathews, Steven G. Coca, Deena R. Altman, Aparna Saha, Howard Soh, Huei Hsun Wen, Sonali Bose, Emily A. Leven, Jing G. Wang, Gohar Mosoyan, Girish N. Nadkarni, Pattharawin Pattharanitima, Allon N. Friedman, John Guirguis, Rajat Kapoor, Christopher Meshberger, Katherine J. Kelly, Chirag R. Parikh, Brian T. Garibaldi, Celia P. Corona-Villalobos, Yumeng Wen, Steven Menez, Rubab F. Malik, Elena Cervantes, Samir Gautam, Mary C. Mallappallil, Jie Ouyang, Sabu John, Ernie Yap, Yohannes Melaku, Ibrahim Mohamed, Siddartha Bajracharya, Isha Puri, Mariah Thaxton, Jyotsna Bhattacharya, John Wagner, Leon Boudourakis, H. Bryant Nguyen, Afshin Ahoubim, Leslie F. Thomas, Dheeraj Reddy Sirganagari, Pramod K. Guru, Kianoush Kashani, Yan Zhou, Paul A. Bergl, Jesus Rodriguez, Jatan A. Shah, Mrigank S. Gupta, Princy N. Kumar, Deepa G. Lazarous, Seble G. Kassaye, Michal L. Melamed, Tanya S. Johns, Ryan Mocerino, Kalyan Prudhvi, Denzel Zhu, Rebecca V. Levy, Yorg Azzi, Molly Fisher, Milagros Yunes, Kaltrina Sedaliu, Ladan Golestaneh, Maureen Brogan, Neelja Kumar, Michael Chang, Ritesh Raichoudhury, Akshay Athreya, Mohamed Farag, Edward J. Schenck, Soo Jung Cho, Maria Plataki, Sergio L. Alvarez-Mulett, Luis G. Gomez-Escobar, Di Pan, Stefi Lee, Jamuna Krishnan, William Whalen, David Charytan, Ashley Macina, Sobaata Chaudhry, Benjamin Wu, Frank Modersitzki, Anand Srivastava, Alexander S. Leidner, Carlos Martinez, Jacqueline M. Kruser, Richard G. Wunderink, Alexander J. Hodakowski, Juan Carlos Q. Velez, Eboni G. Price-Haywood, Luis A. Matute-Trochez, Anna E. Hasty, Muner MB. Mohamed, Rupali S. Avasare, David Zonies, Meghan E. Sise, Erik T. Newman, Samah Abu Omar, Kapil K. Pokharel, Shreyak Sharma, Harkarandeep Singh, Simon Correa, Tanveer Shaukat, Omer Kamal, Wei Wang, Heather Yang, Jeffery O. Boateng, Meghan Lee, Ian A. Strohbehn, Jiahua Li, Ariel L. Mueller, Roberta Redfern, Nicholas S. Cairl, Gabriel Naimy, Abeer Abu-Saif, Danyell Hall, Laura Bickley, Chris Rowan, Farah Madhani-Lovely, Vivian S. Cruz, Kristen M. Hess, Alanna L. Jacobs, Vasil Peev, Jochen Reiser, John J. Byun, Andrew Vissing, Esha M. Kapania, Zoe Post, Nilam P. Patel, Joy-Marie Hermes, Anne K. Sutherland, Amee Patrawalla, Diana G. Finkel, Barbara A. Danek, Sowminya Arikapudi, Jeffrey M. Paer, Peter Cangialosi, Mark Liotta, Jared Radbel, Sonika Puri, Jag Sunderram, Matthew T. Scharf, Ayesha Ahmed, Ilya Berim, Jayanth S. Vatson, Shuchi Anand, Joseph E. Levitt, Suzanne M. Boyle, Rui Song, Jingjing Zhang, Sang Hoon Woo, Xiaoying Deng, Goni Katz-Greenberg, Katharine Senter, Moh’d A. Sharshir, Vadym V. Rusnak, Muhammad Imran Ali, Anip Bansal, Amber S. Podoll, Michel Chonchol, Sunita Sharma, Ellen L. Burnham, Arash Rashidi, Rana Hejal, Eric Judd, Laura Latta, Ashita Tolwani, Timothy E. Albertson, Jason Y. Adams, Steven Y. Chang, Rebecca M. Beutler, Etienne Macedo, Harin Rhee, Kathleen D. Liu, Vasantha K. Jotwani, Jay L. Koyner, Chintan V. Shah, Vishal Jaikaransingh, Stephanie M. Toth-Manikowski, Min J. Joo, James P. Lash, Javier A. Neyra, Nourhan Chaaban, Madona Elias, Yahya Ahmad, Alfredo Iardino, Elizabeth H. Au, Jill H. Sharma, Marie Anne Sosa, Sabrina Taldone, Gabriel Contreras, David De La Zerda, Hayley B. Gershengorn, Bhavarth Shukla, Alessia Fornoni, Tanira Ferreira, Salim S. Hayek, Pennelope Blakely, Hanna Berlin, Tariq U. Azam, Husam Shadid, Michael Pan, Patrick O’ Hayer, Chelsea Meloche, Rafey Feroze, Rayan Kaakati, Danny Perry, Abbas Bitar, Elizabeth Anderson, Kishan J. Padalia, John P. Donnelly, Andrew J. Admon, Jennifer E. Flythe, Matthew J. Tugman, Emily H. Chang, Brent R. Brown, Amanda K. Leonberg-Yoo, Ryan C. Spiardi, Todd A. Miano, Meaghan S. Roche, Charles R. Vasquez, Amar D. Bansal, Natalie C. Ernecoff, Sanjana Kapoor, Siddharth Verma, Csaba P. Kovesdy, Miklos Z. Molnar, Ambreen Azhar, S. Susan Hedayati, Mridula V. Nadamuni, Shani Shastri, Duwayne L. Willett, Samuel A.P. Short, Amanda D. Renaghan, Kyle B. Enfield, Pavan K. Bhatraju, A. Bilal Malik, Matthew W. Semler, Anitha Vijayan, Christina Mariyam Joy, Tingting Li, Seth Goldberg, Patricia F. Kao, Greg L. Schumaker, Nitender Goyal, Anthony J. Faugno, Caroline M. Hsu, Asma Tariq, Leah Meyer, Ravi K. Kshirsagar, Daniel E. Weiner, Aju Jose, Marta Christov, Jennifer Griffiths, Sanjeev Gupta, Aromma Kapoor, Perry Wilson, Tanima Arora, and Ugochukwu Ugwuowo
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medical ethics ,crisis standards of care ,triage ,critical care ,intensive care ,COVID-19 ,Medicine (General) ,R5-920 - Abstract
Summary: Many US states published crisis standards of care (CSC) guidelines for allocating scarce critical care resources during the COVID-19 pandemic. However, the performance of these guidelines in maximizing their population benefit has not been well tested. In 2,272 adults with COVID-19 requiring mechanical ventilation drawn from the Study of the Treatment and Outcomes in Critically Ill Patients with COVID-19 (STOP-COVID) multicenter cohort, we test the following three approaches to CSC algorithms: Sequential Organ Failure Assessment (SOFA) scores grouped into ranges, SOFA score ranges plus comorbidities, and a hypothetical approach using raw SOFA scores not grouped into ranges. We find that area under receiver operating characteristic (AUROC) curves for all three algorithms demonstrate only modest discrimination for 28-day mortality. Adding comorbidity scoring modestly improves algorithm performance over SOFA scores alone. The algorithm incorporating comorbidities has modestly worse predictive performance for Black compared to white patients. CSC algorithms should be empirically examined to refine approaches to the allocation of scarce resources during pandemics and to avoid potential exacerbation of racial inequities.
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- 2021
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5. Machine Learning Prediction of Death in Critically Ill Patients With Coronavirus Disease 2019
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Matthew M. Churpek, MD, MPH, PhD, Shruti Gupta, MD, MPH, Alexandra B. Spicer, MS, Salim S. Hayek, MD, Anand Srivastava, MD, MPH, Lili Chan, MD, MSCR, Michal L. Melamed, MD, MHS, Samantha K. Brenner, MD, MPH, Jared Radbel, MD, Farah Madhani-Lovely, MD, Pavan K. Bhatraju, MD, MSc, Anip Bansal, MD, Adam Green, MD, MBA, Nitender Goyal, MD, Shahzad Shaefi, MD, MPH, Chirag R. Parikh, MD, PhD, Matthew W. Semler, MD, David E. Leaf, MD, MMSc, Carl P. Walther, Samaya J. Anumudu, Justin Arunthamakun, Kathleen F. Kopecky, Gregory P. Milligan, Peter A. McCullough, ThuyDuyen Nguyen, Shahzad Shaefi, Megan L. Krajewski, Sidharth Shankar, Ameeka Pannu, Juan D. Valencia, Sushrut S. Waikar, Zoe A. Kibbelaar, Ambarish M. Athavale, Peter Hart, Oyintayo Ajiboye, Matthew Itteera, Adam Green, Jean-Sebastien Rachoin, Christa A. Schorr, Lisa Shea, Daniel L. Edmonston, Christopher L. Mosher, Alexandre M. Shehata, Zaza Cohen, Valerie Allusson, Gabriela Bambrick-Santoyo, Noor ul aain Bhatti, Bijal Metha, Aquino Williams, Samantha K. Brenner, Patricia Walters, Ronaldo C. Go, Keith M. Rose, Miguel A. Hernán, Amy M. Zhou, Ethan C. Kim, Rebecca Lisk, Lili Chan, Kusum S. Mathews, Steven G. Coca, Deena R. Altman, Aparna Saha, Howard Soh, Huei Hsun Wen, Sonali Bose, Emily Leven, Jing G. Wang, Gohar Mosoyan, Girish N. Nadkarni, Allon N. Friedman, John Guirguis, Rajat Kapoor, Christopher Meshberger, Chirag R. Parikh, Brian T. Garibaldi, Celia P. Corona-Villalobos, Yumeng Wen, Steven Menez, Rubab F. Malik, Carmen Elena Cervantes, Samir C. Gautam, Crystal Chang, H. Bryant Nguyen, Afshin Ahoubim, Leslie F. Thomas, Pramod K. Guru, Paul A. Bergl, Yan Zhou, Jesus Rodriguez, Jatan A. Shah, Mrigank S. Gupta, Princy N. Kumar, Deepa G. Lazarous, Seble G. Kassaye, Michal L. Melamed, Tanya S. Johns, Ryan Mocerino, Kalyan Prudhvi, Denzel Zhu, Rebecca V. Levy, Yorg Azzi, Molly Fisher, Milagros Yunes, Kaltrina Sedaliu, Ladan Golestaneh, Maureen Brogan, Jyotsana Thakkar, Neelja Kumar, Michael J. Ross, Michael Chang, Ritesh Raichoudhury, Edward J. Schenck, Soo Jung Cho, Maria Plataki, Sergio L. Alvarez-Mulett, Luis G. Gomez-Escobar, Di Pan, Stefi Lee, Jamuna Krishnan, William Whalen, David Charytan, Ashley Macina, Daniel W. Ross, Anand Srivastava, Alexander S. Leidner, Carlos Martinez, Jacqueline M. Kruser, Richard G. Wunderink, Alexander J. Hodakowski, Juan Carlos Q. Velez, Eboni G. Price-Haywood, Luis A. Matute-Trochez, Anna E. Hasty, Muner MB. Mohamed, Rupali S. Avasare, David Zonies, David E. Leaf, Shruti Gupta, Rebecca M. Baron, Meghan E. Sise, Erik T. Newman, Samah Abu Omar, Kapil K. Pokharel, Shreyak Sharma, Harkarandeep Singh, Simon Correa Gaviria, Tanveer Shaukat, Omer Kamal, Wei Wang, Heather Yang, Jeffery O. Boateng, Meghan Lee, Ian A. Strohbehn, Jiahua Li, Saif A. Muhsin, Ernest I. Mandel, Ariel L. Mueller, Nicholas S. Cairl, Farah Madhani-Lovely, Chris Rowan, Farah Madhai-Lovely, Vasil Peev, Jochen Reiser, John J. Byun, Andrew Vissing, Esha M. Kapania, Zoe Post, Nilam P. Patel, Joy-Marie Hermes, Anne K. Sutherland, Amee Patrawalla, Diana G. Finkel, Barbara A. Danek, Sowminya Arikapudi, Jeffrey M. Paer, Jared Radbel, Sonika Puri, Jag Sunderram, Matthew T. Scharf, Ayesha Ahmed, Ilya Berim, Jayanth Vatson, Shuchi Anand, Joseph E. Levitt, Pablo Garcia, Suzanne M. Boyle, Rui Song, Jingjing Zhang, Moh’d A. Sharshir, Vadym V. Rusnak, Anip Bansal, Amber S. Podoll, Michel Chonchol, Sunita Sharma, Ellen L. Burnham, Arash Rashidi, Rana Hejal, Eric Judd, Laura Latta, Ashita Tolwani, Timothy E. Albertson, Jason Y. Adams, Steven Y. Chang, Rebecca M. Beutler, Carl E. Schulze, Etienne Macedo, Harin Rhee, Kathleen D. Liu, Vasantha K. Jotwani, Jay L. Koyner, Chintan V. Shah, Vishal Jaikaransingh, Stephanie M. Toth-Manikowski, Min J. Joo, James P. Lash, Javier A. Neyra, Nourhan Chaaban, Alfredo Iardino, Elizabeth H. Au, Jill H. Sharma, Marie Anne Sosa, Sabrina Taldone, Gabriel Contreras, David De La Zerda, Hayley B. Gershengorn, Salim S. Hayek, Pennelope Blakely, Hanna Berlin, Tariq U. Azam, Husam Shadid, Michael Pan, Patrick O’ Hayer, Chelsea Meloche, Rafey Feroze, Kishan J. Padalia, Jeff Leya, John P. Donnelly, Andrew J. Admon, Jennifer E. Flythe, Matthew J. Tugman, Brent R. Brown, Amanda K. Leonberg-Yoo, Ryan C. Spiardi, Todd A. Miano, Meaghan S. Roche, Charles R. Vasquez, Amar D. Bansal, Natalie C. Ernecoff, Csaba P. Kovesdy, Miklos Z. Molnar, S. Susan Hedayati, Mridula V. Nadamuni, Sadaf S. Khan, Duwayne L. Willett, Samuel A.P. Short, Amanda D. Renaghan, Pavan Bhatraju, A. Bilal Malik, Matthew W. Semler, Anitha Vijayan, Christina Mariyam Joy, Tingting Li, Seth Goldberg, Patricia F. Kao, Greg L. Schumaker, Nitender Goyal, Anthony J. Faugno, Caroline M. Hsu, Asma Tariq, Leah Meyer, Marta Christov, Francis P. Wilson, Tanima Arora, and Ugochukwu Ugwuowo
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Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
OBJECTIVES:. Critically ill patients with coronavirus disease 2019 have variable mortality. Risk scores could improve care and be used for prognostic enrichment in trials. We aimed to compare machine learning algorithms and develop a simple tool for predicting 28-day mortality in ICU patients with coronavirus disease 2019. DESIGN:. This was an observational study of adult patients with coronavirus disease 2019. The primary outcome was 28-day inhospital mortality. Machine learning models and a simple tool were derived using variables from the first 48 hours of ICU admission and validated externally in independent sites and temporally with more recent admissions. Models were compared with a modified Sequential Organ Failure Assessment score, National Early Warning Score, and CURB-65 using the area under the receiver operating characteristic curve and calibration. SETTING:. Sixty-eight U.S. ICUs. PATIENTS:. Adults with coronavirus disease 2019 admitted to 68 ICUs in the United States between March 4, 2020, and June 29, 2020. INTERVENTIONS:. None. MEASUREMENTS AND MAIN RESULTS:. The study included 5,075 patients, 1,846 (36.4%) of whom died by day 28. eXtreme Gradient Boosting had the highest area under the receiver operating characteristic curve in external validation (0.81) and was well-calibrated, while k-nearest neighbors were the lowest performing machine learning algorithm (area under the receiver operating characteristic curve 0.69). Findings were similar with temporal validation. The simple tool, which was created using the most important features from the eXtreme Gradient Boosting model, had a significantly higher area under the receiver operating characteristic curve in external validation (0.78) than the Sequential Organ Failure Assessment score (0.69), National Early Warning Score (0.60), and CURB-65 (0.65; p < 0.05 for all comparisons). Age, number of ICU beds, creatinine, lactate, arterial pH, and Pao2/Fio2 ratio were the most important predictors in the eXtreme Gradient Boosting model. CONCLUSIONS:. eXtreme Gradient Boosting had the highest discrimination overall, and our simple tool had higher discrimination than a modified Sequential Organ Failure Assessment score, National Early Warning Score, and CURB-65 on external validation. These models could be used to improve triage decisions and clinical trial enrichment.
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- 2021
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6. What Should the Surgeons Do at the Family Meeting: A Multi-Disciplinary Qualitative Description of Surgeon Participation in Palliative Care Discussions
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Kristen Schultz, Shannon Howard, Kirstin Moreno, Timothy Siegel, David Zonies, Karen Brasel, and Mackenzie Cook
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Surgery ,Education - Abstract
National guidelines have suggested that quality surgical care should incorporate effective palliative care (PC). Numerous barriers to surgeon participation remain and the domains of optimal surgeon participation are unclear.Eight semi-structured and multi-professional focus groups with 34 total participants. Discussion was transcribed, and qualitative approaches were used to encode, identify, and categorize emergent themes.Oregon HealthScience University, Portland Oregon. A tertiary care teaching hospital.34 multi-disciplinary participants in eight focus groups, identified on a volunteer basis.Key themes defining domains of optimal surgeon/palliative practice include: (1) "primary/secondary PC" which detailed conflict between the surgeon's desire to be part of palliative discussions and competing clinical/time demands. (2) "role/responsibility" described the tension surgeons feel around a desire to provide honest and goal concordant care (3) "teamwork/conflict" detailed the approach to disagreement among multidisciplinary teams.In this qualitative analysis, emergent themes suggest that surgeons want to be involved in the PC of their patients but are limited by available time and competing for ethical obligations. Tension between competing communication and care obligations and PC goals is common, and discord around patient goals remains an issue. This work highlights the need for a standardized curriculum to improve the PC of surgical patients.
- Published
- 2023
7. Shotgun wound to manubrium sterni, right anterior neck, and right supraclavicular area
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Karen Brasel, Niels D Martin, Dennis Kim, David Zonies, Panna Codner, Pauline Park, Susan Evans, Christine Cocanour, Rachael Callcut, Joe Cuschieri, Heather Dolman, David Gourlay, Addison May, Christopher Michetti, Travis Polk, Ronald Simon, Melvin Stone, Sonlee West, Wendy Greene, Alexander Axelrad, Charles Adams, Michaela West, and Richard Bagdonas
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Surgery ,RD1-811 ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Published
- 2020
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8. Contemporary hemodynamic monitoring, fluid responsiveness, volume optimization, and endpoints of resuscitation: an AAST critical care committee clinical consensus
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Karen Brasel, Niels D Martin, Dennis Kim, David Zonies, Panna Codner, Pauline Park, Susan Evans, Christine Cocanour, Rachael Callcut, Joe Cuschieri, Heather Dolman, David Gourlay, Addison May, Christopher Michetti, Travis Polk, Ronald Simon, Melvin Stone, Sonlee West, Wendy Greene, Alexander Axelrad, Charles Adams, Michaela West, and Richard Bagdonas
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Surgery ,RD1-811 ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
This article, on hemodynamic monitoring, fluid responsiveness, volume assessment, and endpoints of resuscitation, is part of a compendium of guidelines provided by the AAST (American Association for the Surgery of Trauma) critical care committee. The intention of these guidelines is to inform practitioners with practical clinical guidance. To do this effectively and contemporarily, expert consensus via the critical care committee was obtained. Strict guideline methodology such a GRADE (Grading of Recommendations Assessment, Development and Evaluation) was purposefully NOT used so as not to limit the possible clinical guidance. The critical care committee foresees this methodology as practically valuable to the bedside clinician.
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- 2020
- Full Text
- View/download PDF
9. Severe thrombocytopenia in adults undergoing extracorporeal membrane oxygenation is predictive of thrombosis
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Sven R. Olson, Luke Masha, Owen J. T. McCarty, Joseph J. Shatzel, Michael Oakes, David Zonies, Patricia Liu, Ramin Amirsoltani, Vikram Raghunathan, and Tia C L Kohs
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Adult ,medicine.medical_specialty ,medicine.medical_treatment ,macromolecular substances ,Article ,Cohort Studies ,Extracorporeal Membrane Oxygenation ,Internal medicine ,medicine ,Extracorporeal membrane oxygenation ,Humans ,Platelet ,Prospective Studies ,Retrospective Studies ,business.industry ,Anticoagulants ,Thrombosis ,Hematology ,General Medicine ,medicine.disease ,Thrombocytopenia ,Severe thrombocytopenia ,surgical procedures, operative ,Circulatory system ,Cardiology ,business - Abstract
Extracorporeal membrane oxygenation (ECMO) provides lifesaving circulatory support and gas exchange, although hematologic complications are frequent. The relationship between ECMO and severe thrombocytopenia (platelet count
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- 2023
10. Targeting the Contact Pathway of Coagulation for the Prevention and Management of Medical Device-Associated Thrombosis
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Abhishek Goel, Harsha Tathireddy, Si-Han Wang, Helen H. Vu, Cristina Puy, Monica T. Hinds, David Zonies, Owen J.T. McCarty, and Joseph J. Shatzel
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Hematology ,Cardiology and Cardiovascular Medicine - Abstract
Hemorrhage remains a major complication of anticoagulants, with bleeding leading to serious and even life-threatening outcomes in rare settings. Currently available anticoagulants target either multiple coagulation factors or specifically coagulation factor (F) Xa or thrombin; however, inhibiting these pathways universally impairs hemostasis. Bleeding complications are especially salient in the medically complex population who benefit from medical devices. Extracorporeal devices—such as extracorporeal membrane oxygenation, hemodialysis, and cardiac bypass—require anticoagulation for optimal use. Nonetheless, bleeding complications are common, and with certain devices, highly morbid. Likewise, pharmacologic prophylaxis to prevent thrombosis is not commonly used with many medical devices like central venous catheters due to high rates of bleeding. The contact pathway members FXI, FXII, and prekallikrein serve as a nexus, connecting biomaterial surface-mediated thrombin generation and inflammation, and may represent safe, druggable targets to improve medical device hemocompatibility and thrombogenicity. Recent in vivo and clinical data suggest that selectively targeting the contact pathway of coagulation through the inhibition of FXI and FXII can reduce the incidence of medical device-associated thrombotic events, and potentially systemic inflammation, without impairing hemostasis. In the following review, we will outline the current in vivo and clinical data encompassing the mechanism of action of drugs targeting the contact pathway. This new class of inhibitors has the potential to herald a new era of effective and low-risk anticoagulation for the management of patients requiring the use of medical devices.
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- 2023
11. Do I really need this transthoracic ECHO? An over-utilized test in trauma and surgical intensive care units
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Jared, Gallaher, Lucas, Stone, Grant, Marquart, Christopher, Freeman, and David, Zonies
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Male ,Intensive Care Units ,Critical Care ,Echocardiography ,Humans ,General Earth and Planetary Sciences ,Female ,Troponin ,Aged ,Retrospective Studies ,General Environmental Science - Abstract
Clinical use of transthoracic echocardiogram (TTE) in intensive care units (ICU) has dramatically increased without clear guidance on validated assessment indications, appropriateness, and patient value.A retrospective analysis of consecutive TTEs performed among patients admitted to a tertiary trauma/surgical ICU over 2.5 years was performed. A bivariate analysis and Poisson regression was used to compare patients who received a TTE. Sensitivity analysis was performed to assess patient factors that predict change in management based on TTE. An abnormal exam was defined as having at least one of the following: ejection fraction55%, wall motion, pericardial effusion, pericardial effusion, or other significant abnormality including filling defect. The effect on management was derived from clinical course. We hypothesize that these studies are usually normal and rarely lead to changes in clinical management.912 TTEs were performed in 806 patients. The median age was 68 years (IQR 57, 77) and 63.5% were male. Syncope (21.7%) or hypotension/hypovolemia (20.5%) were the most common indications for a TTE. In total, 39.4% TTEs were abnormal and only 7.6% resulted in a change in management. Predictive factors associated with an abnormal exam included: age50, serum troponin ≥0.1 ng/ml, abnormal ECG, and clinical suspicion of heart failure or acute myocardial infarction. A troponin cutoff level0.25 ng/mL was the most reliable factor to predict no change in management after TTE with a negative predictive value of 94.3% (95% CI 93.1, 95.3).TTE is commonly used for patient assessment in critically ill surgical patients but the majority of exams are normal without change in clinical management. Certain patient factors, such as troponin level, may help distinguish which patients would benefit from this diagnostic test. Given the considerable cost associated with TTE and the minimal effect on management, guidelines on appropriate use would provide improved patient value.
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- 2022
12. Real-World Comparison of Bleeding and Thrombotic Outcomes in V-V ECMO: Heparin Versus Bivalirudin
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Thomas Kartika, Rick Mathews, Gina Migneco, Taylor Bundy, Andy Kaempf, Michael Pfeffer, Thomas DeLoughery, Kerry Moore, Rachel Beardshear, Heath J. Oetken, Jonathan Case, Monica T. Hinds, Owen J. T. McCarty, Joseph Shatzel, David Zonies, and Bishoy Zakhary
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- 2023
13. Interfacility Transport of Critically Ill Patients
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Susan R. Wilcox, Randy S. Wax, Michael T. Meyer, Jacqueline C. Stocking, Amado Alejandro Baez, Jason Cohen, M. Michele Moss, Michael A. Frakes, Elizabeth A. Scruth, William B. Weir, David Zonies, Francis X. Guyette, Lewis J. Kaplan, and Jeremy W. Cannon
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Critical Care ,Clinical Deterioration ,Critical Illness ,Clinical Sciences ,Nursing ,Critical Care and Intensive Care Medicine ,Emergency & Critical Care Medicine ,Transportation of Patients ,Clinical Research ,emergencies ,transport ,Public Health and Health Services ,Humans ,hospitals - Abstract
ObjectivesTo assess recent advances in interfacility critical care transport.Data sourcesPubMed English language publications plus chapters and professional organization publications.Study selectionManuscripts including practice manuals and standard (1990-2021) focused on interfacility transport of critically ill patients.Data extractionReview of society guidelines, legislative requirements, objective measures of outcomes, and transport practice standards occurred in work groups assessing definitions and foundations of interfacility transport, transport team composition, and transport specific considerations. Qualitative analysis was performed to characterize current science regarding interfacility transport.Data synthesisThe Task Force conducted an integrative review of 496 manuscripts combined with 120 from the authors' collections including nonpeer reviewed publications. After title and abstract screening, 40 underwent full-text review, of which 21 remained for qualitative synthesis.ConclusionsSince 2004, there have been numerous advances in critical care interfacility transport. Clinical deterioration may be mitigated by appropriate patient selection, pretransport optimization, and transport by a well-resourced team and vehicle. There remains a dearth of high-quality controlled studies, but notable advances in monitoring, en route management, transport modality (air vs ground), as well as team composition and training serve as foundations for future inquiry. Guidance from professional organizations remains uncoupled from enforceable regulations, impeding standardization of transport program quality assessment and verification.
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- 2022
14. Developing a National Trauma Research Action Plan: Results from the postadmission critical care research gap Delphi survey
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Karen J, Brasel, Maxwell A, Braverman, Jimmy, Phuong, Michelle A, Price, Lewis J, Kaplan, Rosemary, Kozar, Christopher P, Michetti, Rachael, Callcut, Eileen M, Bulger, Panna, Codner, Susan, Evans, Dennis, Kim, Pamela, Lipsett, Matthew, Lissauer, Ronald V, Maier, Niels D, Martin, Addison Kemp, May, Michael J, Murray, Lena, Napolitano, Ram, Nirula, Jean-Francois, Pittet, Bryce, Robinson, Richard B, Rodgers, Rajan, Thakkar, Samuel A, Tisherman, Michaela, West, and David, Zonies
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Consensus ,Delphi Technique ,Critical Care ,Research Design ,Surveys and Questionnaires ,Humans - Abstract
The 2016 National Academies of Science, Engineering and Medicine report included a proposal to establish a National Trauma Research Action Plan. In response, the Department of Defense funded the Coalition for National Trauma Research to generate a comprehensive research agenda spanning the continuum of trauma and burn care from prehospital care to rehabilitation as part of an overall strategy to achieve zero preventable deaths and disability after injury. The Postadmission Critical Care Research panel was 1 of 11 panels constituted to develop this research agenda.We recruited interdisciplinary experts in surgical critical care and recruited them to identify current gaps in clinical critical care research, generate research questions, and establish the priority of these questions using a consensus-driven Delphi survey approach. The first of four survey rounds asked participants to generate key research questions. On subsequent rounds, we asked survey participants to rank the priority of each research question on a 9-point Likert scale, categorized to represent low-, medium-, and high-priority items. Consensus was defined as ≥60% of panelists agreeing on the priority category.Twenty-five subject matter experts generated 595 questions. By Round 3, 249 questions reached ≥60% consensus. Of these, 22 questions were high, 185 were medium, and 42 were low priority. The clinical states of hypovolemic shock and delirium were most represented in the high-priority questions. Traumatic brain injury was the only specific injury pattern with a high-priority question.The National Trauma Research Action Plan critical care research panel identified 22 high-priority research questions, which, if answered, would reduce preventable death and disability after injury.Diagnostic Tests or Criteria; Level IV.
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- 2022
15. Disrupted modular organization of resting-state cortical functional connectivity in U.S. military personnel following concussive 'mild' blast-related traumatic brain injury.
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Kihwan Han, Christine L. Mac Donald, Ann M. Johnson, Yolanda Barnes, Linda Wierzechowski, David Zonies, John Oh, Stephen Flaherty, Raymond Fang, Marcus E. Raichle, and David L. Brody
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- 2014
- Full Text
- View/download PDF
16. Reply to Letter to the Editor
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Jared Gallaher, Lucas Stone, Grant Marquart, Christopher Freeman, and David Zonies
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General Earth and Planetary Sciences ,General Environmental Science - Published
- 2022
17. National blood shortage: A call to action from the trauma community
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Deborah M. Stein, Jeffrey S. Upperman, David H. Livingston, Jennifer Andrews, Eileen M. Bulger, Mitchell Jay Cohen, Brian J. Eastridge, Magali J. Fontaine, Oscar Guillamondegui, John R. Hess, Donald H. Jenkins, Krista L. Kaups, Michael L. Nance, Philip C. Spinella, Ben L. Zarzaur, David Zonies, and Raul Coimbra
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Surgery ,Critical Care and Intensive Care Medicine - Published
- 2022
18. Prioritizing Communication in the Provision of Palliative Care for the Trauma Patient
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Karen J. Brasel, David Zonies, and Mackenzie R. Cook
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Trauma patient ,Rehabilitation ,Palliative care ,business.industry ,Communication ,medicine.medical_treatment ,Goals of care ,030208 emergency & critical care medicine ,medicine.disease ,Trauma care ,03 medical and health sciences ,0302 clinical medicine ,Palliative Care in Trauma (L Maerz, Section Editor) ,medicine ,Orthopedics and Sports Medicine ,Surgery ,030212 general & internal medicine ,Medical emergency ,Comfort care ,Communication skills ,business - Abstract
Purpose of Review Communication skills in the ICU are an essential part of the care of trauma patients. The goal of this review is to summarize key aspects of our understanding of communication with injured patients in the ICU. Recent Findings The need to communicate effectively and empathetically with patients and identify primary goals of care is an essential part of trauma care in the ICU. The optimal design to support complex communication in the ICU will be dependent on institutional experience and resources. The best/worst/most likely model provides a structural model for communication. Summary We have an imperative to improve the communication for all patients, not just those at the end of their life. A structured approach is important as is involving family at all stages of care. Communication skills can and should be taught to trainees.
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- 2020
19. Extracorporeal Membrane Oxygenation in Trauma
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Justyna Swol, Jeremy W. Cannon, Ryan P. Barbaro, Jeffrey J. Fanning, and David Zonies
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Biomaterials ,Respiratory Distress Syndrome ,Extracorporeal Membrane Oxygenation ,Biomedical Engineering ,Biophysics ,Humans ,Bioengineering ,General Medicine ,Respiratory Insufficiency - Published
- 2022
20. Thrombosis and Bleeding in Extracorporeal Membrane Oxygenation (ECMO) Without Anticoagulation: A Systematic Review
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Catherine R. Murphree, Thomas G. DeLoughery, Joseph J. Shatzel, David Zonies, Sven R. Olson, Owen J. T. McCarty, and Andrew D. Meyer
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Adult ,Male ,medicine.medical_specialty ,medicine.medical_treatment ,Biomedical Engineering ,Biophysics ,MEDLINE ,Hemorrhage ,Bioengineering ,030204 cardiovascular system & hematology ,Article ,Biomaterials ,03 medical and health sciences ,Extracorporeal Membrane Oxygenation ,0302 clinical medicine ,medicine ,Extracorporeal membrane oxygenation ,Humans ,Retrospective Studies ,business.industry ,Incidence ,Incidence (epidemiology) ,Cardiogenic shock ,Anticoagulants ,Thrombosis ,General Medicine ,Heparin ,Middle Aged ,medicine.disease ,Surgery ,surgical procedures, operative ,030228 respiratory system ,Hemostasis ,Female ,Systemic anticoagulation ,business ,medicine.drug - Abstract
Extracorporeal membrane oxygenation (ECMO) causes both thrombosis and bleeding. Major society guidelines recommend continuous, systemic anticoagulation to prevent thrombosis of the ECMO circuit, though this may be undesirable in those with active, or high risk of, bleeding. We aimed to systematically review thrombosis and bleeding outcomes in published cases of adults treated with ECMO without continuous systemic anticoagulation. Ovid MEDLINE, Cochrane CENTRAL and CDSR, and hand search via SCOPUS were queried. Eligible studies were independently reviewed by two blinded authors if they reported adults (≥18 years) treated with either VV- or VA-ECMO without continuous systemic anticoagulation for ≥24 hours. Patient demographics, clinical data, and specifics of ECMO technology and treatment parameters were collected. Primary outcomes of interest included incidence of bleeding, thrombosis of the ECMO circuit requiring equipment exchange, patient venous or arterial thrombosis, ability to wean off of ECMO, and mortality. Of the 443 total publications identified, 34 describing 201 patients met our inclusion criteria. Most patients were treated for either acute respiratory distress syndrome or cardiogenic shock. The median duration of anticoagulant-free ECMO was 4.75 days. ECMO circuity thrombosis and patient thrombosis occurred in 27 (13.4%) and 19 (9.5%) patients, respectively. Any bleeding and major or "severe" bleeding was reported in 66 (32.8%) and 56 (27.9%) patients, respectively. Forty patients (19%) died. While limited by primarily retrospective data and inconsistent reporting of outcomes, our systematic review of anticoagulant-free ECMO reveals an incidence of circuity and patient thrombosis comparable to patients receiving continuous systemic anticoagulation while on ECMO.
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- 2020
21. Design of an entrustable professional activity for adult extracorporeal membrane oxygenation
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Bishoy Zakhary, David Zonies, Karen J. Brasel, Heather Hamilton, and W. Christian Crannell
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Medical education ,Constant comparison ,business.industry ,medicine.medical_treatment ,education ,Anticoagulation management ,lcsh:Surgery ,lcsh:RD1-811 ,medicine.disease ,Professional activity ,Grounded theory ,Article ,surgical procedures, operative ,Problem-based learning ,Team communication ,Structured interview ,Extracorporeal membrane oxygenation ,Medicine ,Pulmonary failure ,Medical emergency ,business - Abstract
Background Extracorporeal membrane oxygenation supports severe cardiac or pulmonary failure. There are currently no competency-based standards for extracorporeal membrane oxygenation training. Methods Extracorporeal membrane oxygenation experts were interviewed using a structured interview. Responses were audio recorded, transcribed, and validated by respondents. Interviews were coded using grounded theory with a constant comparison method. Themes were developed and used to construct the entrustable professional activity, which was reviewed by the extracorporeal membrane oxygenation experts. Results Nine experts were interviewed; all had experience with trainees. Interview themes identified include patient selection, circuit and medical management, multidisciplinary communication, problem-based learning and simulation, and entrustment decisions. Essential functions of the entrustable professional activity were patient selection, circuit management, cannula selection, responding to circuit emergencies/complications, anticoagulation management, weaning, and family/team communication. Conclusions Essential functions of an extracorporeal membrane oxygenation entrustable professional activity were defined using data from structured interviews. The resultant entrustable professional activity could be implemented by critical-care programs as a scaffolding for competency-based fellow training., Highlights • A structured interview is an effective method for an EPA creation. • Nine experts with a median 14 years of ECMO experience were interviewed. • The essential functions for ECMO care were defined. • The ECMO EPA could be used for competency-based critical care education.
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- 2020
22. Association of Surge Conditions with Mortality Among Critically Ill Patients with COVID-19
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Adam B. Keene, Andrew J. Admon, Samantha K. Brenner, Shruti Gupta, Deepa Lazarous, David E. Leaf, Hayley B. Gershengorn, Carl P. Walther, Samaya J. Anumudu, Justin Arunthamakun, Kathleen F. Kopecky, Gregory P. Milligan, Peter A. McCullough, Thuy-Duyen Nguyen, Shahzad Shaefi, Brian P. O’Gara, Megan L. Krajewski, Sean M. Baskin, Sidharth Shankar, Juan D. Valencia, Ameeka Pannu, Margaret M. Hayes, E. Wilson Grandin, Sushrut S. Waikar, Zoe A. Kibbelaar, Ambarish M. Athavale, Peter Hart, Shristi Upadhyay, Ishaan Vohra, Ajiboye Oyintayo, Adam Green, Jean-Sebastien Rachoin, Christa A. Schorr, Lisa Shea, Daniel L. Edmonston, Christopher L. Mosher, Alexandre M. Shehata, Zaza Cohen, Valerie Allusson, Gabriela Bambrick-Santoyo, Noor ul aain Bhatti, Bijal Mehta, Aquino Williams, Patricia Walters, Ronaldo C. Go, Keith M. Rose, Miguel A. Hernán, Rebecca Lisk, Lili Chan, Kusum S. Mathews, Steven G. Coca, Deena R. Altman, Aparna Saha, Howard Soh, Huei Hsun Wen, Sonali Bose, Emily A. Leven, Jing G. Wang, Gohar Mosoyan, Girish N. Nadkarni, Pattharawin Pattharanitima, Emily J. Gallagher, Allon N. Friedman, John Guirguis, Rajat Kapoor, Christopher Meshberger, Katherine J. Kelly, Chirag R. Parikh, Brian T. Garibaldi, Celia P. Corona-Villalobos, Yumeng Wen, Steven Menez, Rubab F. Malik, Carmen Elena Cervantes, Samir C. Gautam, Mary C. Mallappallil, Jie Ouyang, Sabu John, Ernie Yap, Yohannes Melaku, Ibrahim Mohamed, Siddhartha Bajracharya, Isha Puri, Mariah Thaxton, Jyotsna Bhattacharya, John Wagner, Leon Boudourakis, H. Bryant Nguyen, Afshin Ahoubim, Leslie F. Thomas, Dheeraj Reddy Sirganagari, Pramod K. Guru, Kianoush Kashani, Shahrzad Tehranian, Yan Zhou, Paul A. Bergl, Jesus Rodriguez, Jatan A. Shah, Mrigank S. Gupta, Princy N. Kumar, Deepa G. Lazarous, Seble G. Kassaye, Michal L. Melamed, Tanya S. Johns, Ryan Mocerino, Kalyan Prudhvi, Denzel Zhu, Rebecca V. Levy, Yorg Azzi, Molly Fisher, Milagros Yunes, Kaltrina Sedaliu, Ladan Golestaneh, Maureen Brogan, Neelja Kumar, Michael Chang, Jyotsana Thakkar, Ritesh Raichoudhury, Akshay Athreya, Mohamed Farag, Edward J. Schenck, Soo Jung Cho, Maria Plataki, Sergio L. Alvarez-Mulett, Luis G. Gomez-Escobar, Di Pan, Stefi Lee, Jamuna Krishnan, William Whalen, David Charytan, Ashley Macina, Sobaata Chaudhry, Benjamin Wu, Frank Modersitzki, Anand Srivastava, Alexander S. Leidner, Carlos Martinez, Jacqueline M. Kruser, Richard G. Wunderink, Alexander J. Hodakowski, Juan Carlos Q. Velez, Eboni G. Price-Haywood, Luis A. Matute-Trochez, Anna E. Hasty, Muner MB. Mohamed, Rupali S. Avasare, David Zonies, Meghan E. Sise, Erik T. Newman, Samah Abu Omar, Kapil K. Pokharel, Shreyak Sharma, Harkarandeep Singh, Simon Correa, Tanveer Shaukat, Omer Kamal, Wei Wang, Heather Yang, Jeffery O. Boateng, Meghan Lee, Ian A. Strohbehn, Jiahua Li, Ariel L. Mueller, Roberta E. Redfern, Nicholas S. Cairl, Gabriel Naimy, Abeer Abu-Saif, Danyell Hall, Laura Bickley, Chris Rowan, Farah Madhani-Lovely, Vasil Peev, Jochen Reiser, John J. Byun, Andrew Vissing, Esha M. Kapania, Zoe Post, Nilam P. Patel, Joy-Marie Hermes, Anne K. Sutherland, Amee Patrawalla, Diana G. Finkel, Barbara A. Danek, Sowminya Arikapudi, Jeffrey M. Paer, Peter Cangialosi, Mark Liotta, Jared Radbel, Sonika Puri, Jag Sunderram, Matthew T. Scharf, Ayesha Ahmed, Ilya Berim, Jayanth S. Vatson, Shuchi Anand, Joseph E. Levitt, Pablo Garcia, Suzanne M. Boyle, Rui Song, Ali Arif, Jingjing Zhang, Sang Hoon Woo, Xiaoying Deng, Goni Katz-Greenberg, Katharine Senter, Moh’d A. Sharshir, Vadym V. Rusnak, Muhammad Imran Ali, Terri Peters, Kathy Hughes, Anip Bansal, Amber S. Podoll, Michel Chonchol, Sunita Sharma, Ellen L. Burnham, Arash Rashidi, Rana Hejal, Eric Judd, Laura Latta, Ashita Tolwani, Timothy E. Albertson, Jason Y. Adams, Steven Y. Chang, Rebecca M. Beutler, Carl E. Schulze, Etienne Macedo, Harin Rhee, Kathleen D. Liu, Vasantha K. Jotwani, Jay L. Koyner, Alissa Kunczt, Chintan V. Shah, Vishal Jaikaransingh, Stephanie M. Toth-Manikowski, Min J. Joo, James P. Lash, Javier A. Neyra, Nourhan Chaaban, Madona Elias, Yahya Ahmad, Rajany Dy, Alfredo Iardino, Elizabeth H. Au, Jill H. Sharma, Marie Anne Sosa, Sabrina Taldone, Gabriel Contreras, David De La Zerda, Alessia Fornoni, Salim S. Hayek, Pennelope Blakely, Hanna Berlin, Tariq U. Azam, Husam Shadid, Michael Pan, Patrick O' Hayer, Chelsea Meloche, Rafey Feroze, Kishan J. Padalia, Abbas Bitar, Jeff Leya, John P. Donnelly, Jennifer E. Flythe, Matthew J. Tugman, Emily H. Chang, Brent R. Brown, Amanda K. Leonberg-Yoo, Ryan C. Spiardi, Todd A. Miano, Meaghan S. Roche, Charles R. Vasquez, Amar D. Bansal, Natalie C. Ernecoff, Sanjana Kapoor, Siddharth Verma, Huiwen Chen, Csaba P. Kovesdy, Miklos Z. Molnar, Ambreen Azhar, S. Susan Hedayati, Mridula V. Nadamuni, Shani Shastri, Duwayne L. Willett, Samuel A.P. Short, Amanda D. Renaghan, Kyle B. Enfield, Pavan K. Bhatraju, A. Bilal Malik, Matthew W. Semler, Anitha Vijayan, Christina Mariyam Joy, Tingting Li, Seth Goldberg, Patricia F. Kao, Greg L. Schumaker, Nitender Goyal, Anthony J. Faugno, Caroline M. Hsu, Asma Tariq, Leah Meyer, Ravi K. Kshirsagar, Aju Jose, Daniel E. Weiner, Marta Christov, Savneek Chugh, Jennifer Griffiths, Sanjeev Gupta, Aromma Kapoor, Perry Wilson, Tanima Arora, and Ugochukwu Ugwuowo
- Subjects
Adult ,Cohort Studies ,Male ,Intensive Care Units ,SARS-CoV-2 ,Critical Illness ,COVID-19 ,Humans ,Female ,Hospital Mortality ,Middle Aged ,Critical Care and Intensive Care Medicine - Abstract
Objective To determine whether surge conditions were associated with increased mortality. Design Multicenter cohort study. Setting U.S. ICUs participating in STOP-COVID. Patients Consecutive adults with COVID-19 admitted to participating ICUs between March 4 and July 1, 2020. Interventions None Measurements and Main Results The main outcome was 28-day in-hospital mortality. To assess the association between admission to an ICU during a surge period and mortality, we used two different strategies: (1) an inverse probability weighted difference-in-differences model limited to appropriately matched surge and non-surge patients and (2) a meta-regression of 50 multivariable difference-in-differences models (each based on sets of randomly matched surge- and non-surge hospitals). In the first analysis, we considered a single surge period for the cohort (March 23 – May 6). In the second, each surge hospital had its own surge period (which was compared to the same time periods in matched non-surge hospitals). Our cohort consisted of 4342 ICU patients (average age 60.8 [sd 14.8], 63.5% men) in 53 U.S. hospitals. Of these, 13 hospitals encountered surge conditions. In analysis 1, the increase in mortality seen during surge was not statistically significant (odds ratio [95% CI]: 1.30 [0.47-3.58], p = .6). In analysis 2, surge was associated with an increased odds of death (odds ratio 1.39 [95% CI, 1.34-1.43], p Conclusions Admission to an ICU with COVID-19 in a hospital that is experiencing surge conditions may be associated with an increased odds of death. Given the high incidence of COVID-19, such increases would translate into substantial excess mortality.
- Published
- 2021
23. Supporting surgical residents learning clinical palliative care: Insights from multi-disciplinary focus groups
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Kristen Schultz, Shannon Howard, Timothy Siegel, David Zonies, Karen Brasel, Mackenzie Cook, and Kirstin Moreno
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Palliative Care ,Humans ,Internship and Residency ,Surgery ,General Medicine ,Clinical Competence ,Curriculum ,Focus Groups - Abstract
A shortage of palliative care (PC) sub-specialists highlights the need for quality PC provided by treating surgeons, although no established curriculum exists to teach surgical residents PC skills. To guide curriculum development, we sought to determine what modifiable factors contribute to surgical residents successfully providing PC.Eight focus groups with 34 participants were conducted. Semi-structured interviews were recorded, transcribed, and de-identified. Inductive thematic analysis was utilized to encode, identify, and categorize emergent themes.Barriers to resident involvement in PC included: Limited Knowledge/Inexperience, Communication Difficulties, Time Constraints, and Burnout. Factors supporting resident involvement included: Patient Relationship/Rapport, Expertise Guiding PC Discussions, and Institutional Support. Communication skills that support successful PC delivery include establishing rapport, managing conflicts, avoiding bias, and acknowledging personal/scientific limitations.This work identifies modifiable factors that support surgical residents providing PC. Faculty and institutional support, resident education on PC principles, and expanding clinical experience with PC may be the most modifiable from a programmatic perspective. Curriculum and process development focused on these areas will help optimize surgical resident's success delivering PC.
- Published
- 2021
24. Critical decisions in the trauma intensive care unit: Are we practicing primary palliative care?
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Andrea K. Nagengast, Elizabeth N. Dewey, Karen J. Brasel, Shannon Howard, David Zonies, Timothy Siegel, Mackenzie R. Cook, and Andrew Edsall
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Adult ,Male ,medicine.medical_specialty ,Palliative care ,Clinical Decision-Making ,MEDLINE ,Specialty ,Critical Care and Intensive Care Medicine ,Patient Care Planning ,Interquartile range ,Medicine ,Humans ,Hospital Mortality ,Trauma intensive care unit ,Aged ,Retrospective Studies ,Aged, 80 and over ,Univariate analysis ,business.industry ,Palliative Care ,Evidence-based medicine ,Middle Aged ,Quality Improvement ,Professional Practice Gaps ,Intensive Care Units ,Emergency medicine ,Injury Severity Score ,Wounds and Injuries ,Surgery ,Female ,business - Abstract
BACKGROUND Devastating injuries require both urgent assessment by a trauma service and early attention to patients' goals of care (GOC). American College of Surgeons Trauma Quality Improvement Program (TQIP) guidelines recommend an initial palliative assessment within 24 hours of admission and family meeting, if needed, within 72 hours. We hypothesize that a primary palliative care-based practice improves adherence to TQIP guidelines in trauma patients. METHODS All adult trauma patients who died while inpatient from January 2014 to December 2018 were reviewed. Timing of GOC discussions, transition to comfort measures only (CMO), and the utilization of specialty palliative services were analyzed with univariate analysis. RESULTS During the study period, 415 inpatients died. Median Injury Severity Score was 26 (interquartile range [IQR], 17-34), median age was 67 years (IQR, 51-81 years), and 72% (n = 299) transitioned to CMO before death. Documented GOC discussions increased from 77% of patients in 2014 to 95% of patients in 2018 (p < 0.001), and in 2018, the median time to the first GOC discussion was 15 hours (IQR, 7- 24 hours). Specialty palliative care was consulted in 7% of all patients. Of patients who had at least one GOC discussion, 98% were led by the trauma intensive care unit (TICU) team. Median time from admission to first GOC discussion was 27 hours (IQR, 6-91 hours). Median number of GOC discussions was 1 (IQR, 1-2). Median time to CMO after the final GOC discussion was 0 hours (IQR, 0-3). Median time to death after transition to CMO was 4 hours (IQR, 1-18 hours). CONCLUSION Of those who died during index admission, we demonstrated significant improvement in adherence to American College of Surgeons TQIP palliative guidelines across the 5-year study period, with the TICU team guiding the majority of GOC discussions. Our TICU team has developed an effective primary palliative care approach, selectively consulting specialty palliative care only when needed. LEVEL OF EVIDENCE Therapeutic/care management, level III.
- Published
- 2021
25. Pilot Testing of Simulation in the Evaluation of a Novel, Rapidly Deployable Electronic Health Record for use in Disaster Intensive Care
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Jeffrey D Davis, Jeffrey A. Gold, Eric J. Robinson, David E Applebury, and David Zonies
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Multimedia ,business.industry ,Computer science ,Public Health, Environmental and Occupational Health ,Usability ,Modular design ,computer.software_genre ,Net Promoter ,Documentation ,Software deployment ,Asynchronous communication ,Intensive care ,business ,computer ,Cognitive load - Abstract
Objectives: The SARS-CoV-2 pandemic has highlighted the need for rapid creation and management of ICU field hospitals with effective remote monitoring which is dependent on the rapid deployment and integration of an Electronic Health Record (EHR). We describe the use of simulation to evaluate a rapidly scalable hub-and-spoke model for EHR deployment and monitoring using asynchronous training. Methods: We adapted existing commercial EHR products to serve as the point of entry from a simulated hospital and a separate system for tele-ICU support and monitoring of the interfaced data. To train our users we created a modular video-based curriculum to facilitate asynchronous training. Effectiveness of the curriculum was assessed through completion of common ICU documentation tasks in a high-fidelity simulation. Additional endpoints include assessment of EHR navigation, user satisfaction (Net Promoter), system usability (System Usability Scale-SUS), and cognitive load (NASA-TLX). Results: A total of 5 participants achieved a 100% task completion on all domains except ventilator data (91%). Systems demonstrated high degrees of satisfaction (Net Promoter = 65.2), acceptable usability (SUS = 66.5), and acceptable cognitive load (NASA-TLX = 41.5); with higher levels of cognitive load correlating with the number of screens employed. Conclusions: Clinical usability of a comprehensive and rapidly deployable EHR was acceptable in an intensive care simulation which was preceded by < 1 hour of video education about the EHR. This model should be considered in plans for integrated clinical response with remote and accessory facilities.
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- 2021
26. Surgical Lessons Observed During the Initial War in Ukraine: Implications for Us All
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David, Zonies
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Warfare ,Humans ,Surgery ,Ukraine ,Military Medicine - Published
- 2022
27. Teaching primary palliative care to general surgical residents: A novel pedagogical approach drawn from multi-disciplinary focus group data
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Kristen Schultz, Shannon Howard, Kirstin Moreno, Timothy Siegel, David Zonies, Karen Brasel, and Mackenzie Cook
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Teaching ,Palliative Care ,Humans ,Internship and Residency ,Surgery ,General Medicine ,Curriculum ,Focus Groups - Abstract
Primary palliative care (PPC) is provided by the primary team and is essential for high-quality surgical care. There is a recognized PPC clinical and research need but little work on the optimal way to teach PPC to general surgery residents. We sought to define important factors of PPC pedagogy (i.e. nature and practice of teaching).Eight semi-structured and multi-professional focus groups (n = 34) were performed. Discussion was transcribed, and de-identified. Qualitative approaches were used to encode, identify, and categorize emergent themes.Emergent themes included: establishing a baseline knowledge, use of existing resources, simulation and debriefings, and emphasis on authentic clinical opportunities with graduated responsibility. A tension between resident entrustability and hesitancy of faculty to entrust was identified.PPC must be taught in surgical residency and the themes identified here will inform development and implementation of a PPC curriculum.
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- 2021
28. Kidney Recovery and Death in Critically Ill Patients With COVID-19-Associated Acute Kidney Injury Treated With Dialysis: The STOP-COVID Cohort Study
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Caroline M. Hsu, Shruti Gupta, Hocine Tighiouart, Nitender Goyal, Anthony J. Faugno, Asma Tariq, Ritesh Raichoudhury, Jill H. Sharma, Leah Meyer, Ravi K. Kshirsagar, Aju Jose, David E. Leaf, Daniel E. Weiner, Hsu Gupta, Goyal Faugno, Tariq Raichoudhury, Sharma Meyer, Kshirsagar Leaf, Carl P. Walther, Samaya J. Anumudu, Justin Arunthamakun, Kathleen F. Kopecky, Gregory P. Milligan, Peter A. McCullough, Thuy-Duyen Nguyen, Shahzad Shaefi, Megan L. Krajewski, Sidharth Shankar, Ameeka Pannu, Juan D. Valencia, Kenneth A. Bauer, Sushrut S. Waikar, Zoe A. Kibbelaar, Ambarish M. Athavale, Peter Hart, Shristi Upadhyay, Ishaan Vohra, Ajiboye Oyintayo, Adam Green, Jean-Sebastien Rachoin, Christa A. Schorr, Lisa Shea, Daniel L. Edmonston, Christopher L. Mosher, Alexandre M. Shehata, Zaza Cohen, Valerie Allusson, Gabriela Bambrick-Santoyo, Noor ul aain Bhatti, Bijal Mehta, Aquino WilliamsSamantha K. Brenner, Patricia Walters, Ronaldo C. Go, Keith M. Rose, Miguel A. Hernán, Amy M. Zhou, Ethan C. Kim, Rebecca Lisk, Lili Chan, Kusum S. Mathews, Steven G. Coca, Deena R. Altman, Aparna Saha, Howard Soh, Huei Hsun Wen, Sonali Bose, Emily A. Leven, Jing G. Wang, Gohar Mosoyan, Pattharawin Pattharanitima, Emily J. Gallagher, Allon N. Friedman, John Guirguis, Rajat Kapoor, Christopher Meshberger, Katherine J. Kelly, Chirag R. Parikh, Brian T. Garibaldi, Celia P. Corona-Villalobos, Yumeng Wen, Steven Menez, Rubab F. Malik, Carmen Elena Cervantes, Samir C. Gautam, Mary C. Mallappallil, Jie Ouyang, Sabu John, Ernie Yap, Yohannes Melaku, Ibrahim Mohamed, Siddhartha Bajracharya, Isha Puri, Mariah Thaxton, Jyotsna Bhattacharya, John Wagner, Leon Boudourakis, H. Bryant Nguyen, Afshin Ahoubim, Leslie F. Thomas, Dheeraj Reddy Sirganagari, Pramod K. Guru, Kianoush Kashani, Shahrzad Tehranian, Yan Zhou, Paul A. Bergl, Jesus Rodriguez, Jatan A. Shah, Mrigank S. Gupta, Princy N. Kumar, Deepa G. Lazarous, Seble G. Kassaye, Michal L. Melamed, Tanya S. Johns. Ryan Mocerino, Kalyan Prudhvi, Denzel Zhu, Rebecca V. Levy, Yorg Azzi, Molly Fisher, Milagros Yunes, Kaltrina Sedaliu, Ladan Golestaneh, Maureen Brogan, Jyotsana Thakkar, Neelja Kumar, Michael J. Ross, Michael Chang, Akshay Athreya, Mohamed Farag, Edward J. Schenck, Soo Jung Cho, Maria Plataki, Sergio L. Alvarez-Mulett, Luis G. Gomez-Escobar, Di Pan, Stefi Lee, Jamuna Krishnan, William Whalen, David Charytan, Ashley Macina, Anand Srivastava, Alexander S. Leidner, Carlos Martinez, Jacqueline M. Kruser, Richard G. Wunderink, Alexander J. Hodakowski, Juan Carlos Q. Velez, Eboni G. Price-Haywood, Luis A. Matute-Trochez, Anna E. Hasty, Muner M.B. Mohamed, Rupali S. Avasare, David Zonies, Hanny Al-Samkari, Rebecca Karp Leaf, Rachel Rosovsky, Meghan E. Sise, Erik T. Newman, Samah Abu Omar, Kapil K. Pokharel, Shreyak Sharma, Harkarandeep Singh, Simon Correa, Tanveer Shaukat, Omer Kamal, Wei Wang, Meghan Lee, Ian A. Strohbehn, Jiahua Li, Ariel L. Mueller, Roberta E. Redfern, Nicholas S. Cairl, Gabriel Naimy, Abeer Abu-Saif, Danyell Hall, Laura Bickley, Chris Rowan, Farah Madhani-Lovely, Vasil Peev, Jochen Reiser, John J. Byun, Andrew Vissing, Esha M. Kapania, Zoe Post, Nilam P. Patel, Joy-Marie Hermes, Anne K. Sutherland, Amee Patrawalla, Diana G. Finkel, Barbara A. Danek, Sowminya Arikapudi, Jeffrey M. Paer, Peter Cangialosi, Mark Liotta, Jared Radbel, Sonika Puri, Jag Sunderram, Matthew T. Scharf, Ayesha Ahmed, Ilya Berim, Jayanth S. Vatson, George Karp, Shuchi Anand, Joseph E. Levitt, Pablo Garcia, Suzanne M. Boyle, Rui Song, Jingjing Zhang, Sang Hoon Woo, Xiaoying Deng, Goni Katz-Greenberg, Moh’d A. Sharshir, Vadym V. Rusnak, Anip Bansal, Amber S. Podoll, Michel Chonchol, Sunita Sharma, Ellen L. Burnham, Arash Rashidi, Rana Hejal, Eric Judd, Laura Latta, Ashita Tolwani, Timothy E. Albertson, Jason Y. Adams, Steven Y. Chang, Rebecca M. Beutler, Carl E. Schulze, Etienne Macedo, Harin RheeKa, null thleen D. Liu, Vasantha K. Jotwani, Jay L. Koyner, Chintan V. Shah, Vishal Jaikaransingh, Stephanie M. Toth-Manikowski, Min J. Joo, James P. Lash, Javier A. Neyra, Nourhan Chaaban, Madona Elias, Yahya Ahmad, Rajany Dy, Alfredo Iardino, Elizabeth H. Au, Marie Anne Sosa, Sabrina Taldone, Gabriel Contreras, David De La Zerda, Hayley B. Gershengorn, Alessia Fornoni, Salim S. Hayek, Pennelope Blakely, Hanna Berlin, Tariq U. Azam, Husam Shadid, Michael Pan, Patrick O’Hayer, Chelsea Meloche, Rafey Feroze, Kishan J. Padalia, Jeff Leya, John P. Donnelly, Andrew J. Admon, Jennifer E. Flythe, Matthew J. Tugman, Emily H. Chang, Brent R. Brown, Amanda K. Leonberg-Yoo, Ryan C. Spiardi, Todd A. Miano, Meaghan S. Roche, Charles R. Vasquez, Amar D. Bansal, Natalie C. Ernecoff, Sanjana Kapoor, Siddharth Verma, Huiwen Chen, Csaba P. Kovesdy, Miklos Z. Molnar, Ambreen Azhar, S. Susan Hedayati, Mridula V. Nadamuni, Shani Shastri, Duwayne L. Willett, Samuel A.P. Short, Amanda D. Renaghan, Kyle B. Enfield, Pavan K. Bhatraju, A. Bilal Malik, Matthew W. Semler, Anitha Vijayan, Christina Mariyam Joy, Tingting Li, Seth Goldberg, Patricia F. Kao, Greg L. Schumaker, Marta Christov, Jennifer Griffiths, Sanjeev Gupta, Aromma Kapoor, Savneek Chugh, Perry Wilson, Tanima Arora, and Ugochukwu Ugwuowo
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Adult ,urogenital system ,SARS-CoV-2 ,Critical Illness ,Aftercare ,COVID-19 ,Original Investigations ,Acute Kidney Injury ,urologic and male genital diseases ,Kidney ,Patient Discharge ,Cohort Studies ,critical care ,Intensive Care Units ,Nephrology ,Renal Dialysis ,Risk Factors ,urine output ,Humans ,dialysis ,chronic kidney disease ,Retrospective Studies - Abstract
Rationale & Objective Acute kidney injury treated with kidney replacement therapy (AKI-KRT) occurs frequently in critically ill patients with COVID-19. We examined the clinical factors that determine kidney recovery in this population. Study Design Multicenter cohort study. Setting & Participants 4221 adults with COVID-19 not receiving kidney replacement therapy who were admitted to intensive care units at 68 US hospitals with COVID-19 from March 1 to June 22, 2020 (the “ICU cohort”). Among these, 876 developed AKI-KRT after admission to the ICU (the “AKI-KRT subcohort”). Exposure(s) The ICU cohort was analyzed using AKI severity as the exposure. For the AKI-KRT subcohort, exposures included demographics, comorbidities, initial mode of KRT, and markers of illness severity at the time of dialysis initiation. Outcome(s) The outcome for the ICU cohort was estimated glomerular filtration rate (GFR) at hospital discharge. A three-level outcome including death, kidney nonrecovery, and kidney recovery at discharge, was analyzed for the AKI-KRT subcohort. Analytical approach The ICU cohort was characterized using descriptive analyses. The AKI-KRT subcohort was characterized with both descriptive analyses and multinomial logistic regression to assess factors associated with kidney nonrecovery while accounting for death. Results Among a total of 4221 patients in the ICU cohort, 2361 (56%) developed AKI, including 876 (21%) who received KRT. More severe AKI was associated with higher mortality. Among survivors, more severe AKI was associated with an increased rate of kidney nonrecovery and lower kidney function at discharge. Among the 876 patients with AKI-KRT, 588 (67%) died, 95 (11%) had kidney nonrecovery, and 193 (22%) had kidney recovery by the time of discharge. The odds of kidney nonrecovery was greater for lower estimated GFR with odds ratios (ORs) of 2.09 (95% CI, 1.09-4.04), 4.27 (95% CI, 1.99-9.17), and 8.69 (95% CI, 3.07-24.55) for CKD GFR categories 3, 4, and 5, respectively, compared to estimated GFR > 60 mL/min/1.73 m2. Oliguria at the time of KRT initiation was also associated with nonrecovery (OR 2.10 [95% CI, 1.14-3.88] and 4.02 [95% CI, 1.72-9.39] for patients with 50-499 and, Critically ill patients with COVID-19 often develop acute kidney injury (AKI). This study of 4221 patients demonstrated that more severe AKI was associated with greater in-hospital mortality and poorer kidney function at hospital discharge. Among the 876 patients who required dialysis for AKI, almost two-thirds died. Among those who survived to discharge, about two-thirds recovered kidney function and were discharged without the need for dialysis. Lower baseline kidney function and reduced urine output were associated with non-recovery of kidney function. Identification of such predictors is important in assessing prognosis among these critically ill patients and has implications for clinical care of individuals critically ill with COVID-19.
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- 2021
29. Hospital-Level Variation in Death for Critically Ill Patients with COVID-19
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Matthew M. Churpek, Shruti Gupta, Alexandra B. Spicer, William F. Parker, John Fahrenbach, Samantha K. Brenner, David E. Leaf, Carl P. Walther, Samaya J. Anumudu, Justin Arunthamakun, Kathleen F. Kopecky, Gregory P. Milligan, Peter A. McCullough, Thuy-Duyen Nguyen, Shahzad Shaefi, Megan L. Krajewski, Sidharth Shankar, Ameeka Pannu, Juan D. Valencia, Sushrut S. Waikar, Zoe A. Kibbelaar, Ambarish M. Athavale, Peter Hart, Shristi Upadhyay, Ishaan Vohra, Adam Green, Jean-Sebastien Rachoin, Christa A. Schorr, Lisa Shea, Daniel L. Edmonston, Christopher L. Mosher, Alexandre M. Shehata, Zaza Cohen, Valerie Allusson, Gabriela Bambrick-Santoyo, Noor ul aain Bhatti, Bijal Mehta, Aquino Williams, Patricia Walters, Ronaldo C. Go, Keith M. Rose, Miguel A. Hernán, Lili Chan, Kusum S. Mathews, Steven G. Coca, Deena R. Altman, Aparna Saha, Howard Soh, Huei Hsun Wen, Sonali Bose, Emily A. Leven, Jing G. Wang, Gohar Mosoyan, Girish N. Nadkarni, Pattharawin Pattharanitima, Emily J. Gallagher, Allon N. Friedman, John Guirguis, Rajat Kapoor, Christopher Meshberger, Katherine J. Kelly, Chirag R. Parikh, Brian T. Garibaldi, Celia P. Corona-Villalobos, Yumeng Wen, Steven Menez, Rubab F. Malik, Elena Cervantes, Samir Gautam, Mary C. Mallappallil, Jie Ouyang, Sabu John, Ernie Yap, Yohannes Melaku, Ibrahim Mohamed, Siddartha Bajracharya, Isha Puri, Mariah Thaxton, Jyotsna Bhattacharya, John Wagner, Leon Boudourakis, H. Bryant Nguyen, Afshin Ahoubim, Leslie F. Thomas, Dheeraj Reddy Sirganagari, Pramod K. Guru, Kianoush Kashani, Shahrzad Tehranian, Yan Zhou, Paul A. Bergl, Jesus Rodriguez, Jatan A. Shah, Mrigank S. Gupta, Princy N. Kumar, Deepa G. Lazarous, Seble G. Kassaye, Michal L. Melamed, Tanya S. Johns, Ryan Mocerino, Kalyan Prudhvi, Denzel Zhu, Rebecca V. Levy, Yorg Azzi, Molly Fisher, Milagros Yunes, Kaltrina Sedaliu, Ladan Golestaneh, Maureen Brogan, Neelja Kumar, Michael Chang, Jyotsana Thakkar, Ritesh Raichoudhury, Akshay Athreya, Mohamed Farag, Edward J. Schenck, Soo Jung Cho, Maria Plataki, Sergio L. Alvarez-Mulett, Luis G. Gomez-Escobar, Di Pan, Stefi Lee, Jamuna Krishnan, William Whalen, David Charytan, Ashley Macina, Sobaata Chaudhry, Benjamin Wu, Frank Modersitzki, Anand Srivastava, Alexander S. Leidner, Carlos Martinez, Jacqueline M. Kruser, Richard G. Wunderink, Alexander J. Hodakowski, Juan Carlos Q. Velez, Eboni G. Price-Haywood, Luis A. Matute-Trochez, Anna E. Hasty, Muner M. B. Mohamed, Rupali S. Avasare, David Zonies, Meghan E. Sise, Erik T. Newman, Samah Abu Omar, Kapil K. Pokharel, Shreyak Sharma, Harkarandeep Singh, Simon Correa, Tanveer Shaukat, Omer Kamal, Wei Wang, Heather Yang, Jeffery O. Boateng, Meghan Lee, Ian A. Strohbehn, Jiahua Li, Ariel L. Mueller, Roberta Redfern, Nicholas S. Cairl, Gabriel Naimy, Abeer Abu-Saif, Danyell Hall, Laura Bickley, Chris Rowan, Farah Madhai-Lovely, Vasil Peev, Jochen Reiser, John J. Byun, Andrew Vissing, Esha M. Kapania, Zoe Post, Nilam P. Patel, Joy-Marie Hermes, Anne K. Sutherland, Amee Patrawalla, Diana G. Finkel, Barbara A. Danek, Sowminya Arikapudi, Jeffrey M. Paer, Peter Cangialosi, Mark Liotta, Jared Radbel, Jag Sunderram, Sonika Puri, Jayanth S. Vatson, Matthew T. Scharf, Ayesha Ahmed, Ilya Berim, Shuchi Anand, Joseph E. Levitt, Pablo Garcia, Suzanne M. Boyle, Rui Song, Ali Arif, Jingjing Zhang, Sang Hoon Woo, Xiaoying Deng, Goni Katz-Greenberg, Katharine Senter, Moh’d A. Sharshir, Vadym V. Rusnak, Muhammad Imran Ali, Terri Peters, Kathy Hughes, Anip Bansal, Amber S. Podoll, Michel Chonchol, Sunita Sharma, Ellen L. Burnham, Arash Rashidi, Rana Hejal, Eric Judd, Laura Latta, Ashita Tolwani, Timothy E. Albertson, Jason Y. Adams, Steven Y. Chang, Rebecca M. Beutler, Santa Monica, Carl E. Schulze, Etienne Macedo, Harin Rhee, Kathleen D. Liu, Vasantha K. Jotwani, Jay L. Koyner, Chintan V. Shah, Vishal Jaikaransingh, Stephanie M. Toth-Manikowski, Min J. Joo, James P. Lash, Javier A. Neyra, Nourhan Chaaban, Alfredo Iardino, Elizabeth H. Au, Jill H. Sharma, Marie Anne Sosa, Sabrina Taldone, Gabriel Contreras, David De La Zerda, Alessia Fornoni, Hayley B. Gershengorn, Salim S. Hayek, Pennelope Blakely, Hanna Berlin, Tariq U. Azam, Husam Shadid, Michael Pan, Patrick O’Hayer, Chelsea Meloche, Rafey Feroze, Rayan Kaakati, Danny Perry, Abbas Bitar, Elizabeth Anderson, Kishan J. Padalia, Christopher Launius, John P. Donnelly, Andrew J. Admon, Jennifer E. Flythe, Matthew J. Tugman, Emily H. Chang, Brent R. Brown, Amanda K. Leonberg-Yoo, Ryan C. Spiardi, Todd A. Miano, Meaghan S. Roche, Charles R. Vasquez, Amar D. Bansal, Natalie C. Ernecoff, Sanjana Kapoor, Siddharth Verma, Huiwen Chen, Csaba P. Kovesdy, Miklos Z. Molnar, Ambreen Azhar, S. Susan Hedayati, Mridula V. Nadamuni, Shani Shastri, Duwayne L. Willett, Samuel A. P. Short, Amanda D. Renaghan, Kyle B. Enfield, Pavan K. Bhatraju, A. Bilal Malik, Matthew W. Semler, Anitha Vijayan, Christina Mariyam Joy, Tingting Li, Seth Goldberg, Patricia F. Kao, Greg L. Schumaker, Nitender Goyal, Anthony J. Faugno, Caroline M. Hsu, Asma Tariq, Leah Meyer, Ravi K. Kshirsagar, Daniel E. Weiner, Marta Christov, Jennifer Griffiths, Sanjeev Gupta, Aromma Kapoor, Perry Wilson, Tanima Arora, and Ugochukwu Ugwuowo
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Pulmonary and Respiratory Medicine ,Male ,medicine.medical_specialty ,genetic structures ,Coronavirus disease 2019 (COVID-19) ,Critical Illness ,Disease ,Comorbidity ,Critical Care and Intensive Care Medicine ,medicine.disease_cause ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,law ,Risk Factors ,medicine ,Humans ,030212 general & internal medicine ,Hospital Mortality ,Coronavirus ,Aged ,Retrospective Studies ,Critically ill ,business.industry ,SARS-CoV-2 ,Incidence ,Editorials ,COVID-19 ,Hospital level ,Middle Aged ,Prognosis ,Intensive care unit ,Health equity ,United States ,Survival Rate ,Intensive Care Units ,Variation (linguistics) ,030228 respiratory system ,Emergency medicine ,Female ,business ,Algorithms ,Follow-Up Studies - Abstract
Variation in hospital mortality has been described for coronavirus disease 2019 (COVID-19), but the factors that explain these differences remain unclear.Our objective was to utilize a large, nationally representative dataset of critically ill adults with COVID-19 to determine which factors explain mortality variability.In this multicenter cohort study, we examined adults hospitalized in intensive care units with COVID-19 at 70 United States hospitals between March and June 2020. The primary outcome was 28-day mortality. We examined patient-level and hospital-level variables. Mixed-effects logistic regression was used to identify factors associated with interhospital variation. The median odds ratio (OR) was calculated to compare outcomes in higher- vs. lower-mortality hospitals. A gradient boosted machine algorithm was developed for individual-level mortality models.A total of 4,019 patients were included, 1537 (38%) of whom died by 28 days. Mortality varied considerably across hospitals (0-82%). After adjustment for patient- and hospital-level domains, interhospital variation was attenuated (OR decline from 2.06 [95% CI, 1.73-2.37] to 1.22 [95% CI, 1.00-1.38]), with the greatest changes occurring with adjustment for acute physiology, socioeconomic status, and strain. For individual patients, the relative contribution of each domain to mortality risk was: acute physiology (49%), demographics and comorbidities (20%), socioeconomic status (12%), strain (9%), hospital quality (8%), and treatments (3%).There is considerable interhospital variation in mortality for critically ill patients with COVID-19, which is mostly explained by hospital-level socioeconomic status, strain, and acute physiologic differences. Individual mortality is driven mostly by patient-level factors. This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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- 2021
30. Missed injuries in combat casualties: Lessons from Iraq and Afghanistan
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Pam Woods, David Zonies, Kathleen D. Martin, Connie Johnson, Vicente J. Undurraga Perl, and Sean Kelley
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Adult ,Male ,Delayed Diagnosis ,Poison control ,Suicide prevention ,Occupational safety and health ,Military medicine ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Injury prevention ,Humans ,Medicine ,Registries ,Diagnostic Errors ,Military Medicine ,Iraq War, 2003-2011 ,Retrospective Studies ,General Environmental Science ,030222 orthopedics ,Afghan Campaign 2001 ,Multiple Trauma ,business.industry ,Health services research ,030208 emergency & critical care medicine ,Retrospective cohort study ,medicine.disease ,Radiography ,Military personnel ,Military Personnel ,Practice Guidelines as Topic ,War-Related Injuries ,General Earth and Planetary Sciences ,Female ,Health Services Research ,Medical emergency ,business - Abstract
Once injured in the battlefield in Iraq and Afghanistan, U.S. and NATO troops receive medical treatment through tiered echelons of care with varying resources, from austere to state-of-the-art. Similar to civilian trauma systems, the aim is to provide rapid and safe patient movement toward definitive management. A consequence of the rapid transfer of patients is the possibility of missed or delayed diagnosis of injuries. With the new injury patterns seen during these conflicts, we aimed to identify and characterize which injuries are missed and what consequences do they have on our troops' road to recovery.A retrospective review of a PI database (established 2007) for consecutively admitted combat casualties was performed between 2007-2013. Baseline patient characteristics, injury year, admitting service, injury type, and subsequent management decisions were categorized and analyzed.There were 301 missed injuries (MI) identified in 248 patients. The annual missed injury rate was 25 per 1000 admissions. Missed injuries were associated with a penetrating mechanism (82.7% vs 58.5%, p 0.001), ICU admission (58.5% vs 27.4%, p 0.001), higher ISS (median 14 vs 8, p 0.001), and a longer length of stay (median 3 versus 2 days, p 0.001). 194 (64.5%) missed injuries led to a change in management, with 68 (22.6%) requiring a surgical procedure. 1.3% of missed injuries were life threatening, 28.2% major and 65.4% minor. The most common injuries were distal extremity fractures (23.9%), followed by spine fractures (13.3%) and traumatic tympanic membrane rupture (12.6%), There were no deaths attributed to a missed injury.Missed injuries during combat operations occur on a low but consistent basis. Most injuries are orthopedic in nature and typically occur in critically ill patients admitted to the ICU. It is rare that a missed injury results in a life-threatening condition.As healthcare practitioners prepare for future deployments, this analysis may serve as a resource to focus on frequently missed injuries and possibly improve their detection.
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- 2019
31. Performance of crisis standards of care guidelines in a cohort of critically ill COVID-19 patients in the United States
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Huei Hsun Wen, Vishal Jaikaransingh, Ernie Yap, Matthew T. Scharf, Jiahua Li, Samir Gautam, Jeffery O. Boateng, John Guirguis, Timothy E. Albertson, Shuchi Anand, Kathleen D. Liu, Amar D. Bansal, Alessia Fornoni, Caroline M. Hsu, Simon Correa, Natalie C. Ernecoff, Chris Rowan, William Feldman, Rupali S. Avasare, Maureen Brogan, Etienne Macedo, Nourhan Chaaban, Sabrina Taldone, Ryan Mocerino, Nilam P. Patel, Christopher Meshberger, Muner Mb. Mohamed, Joy-Marie Hermes, Ritesh Raichoudhury, Jamuna Krishnan, Amy M. Zhou, Abbas Bitar, Danny Perry, Barbara A. Danek, Allon N. Friedman, Salim S. Hayek, Richard G. Wunderink, Duwayne L. Willett, Moh’d A. Sharshir, Luis G. Gomez-Escobar, Wei Wang, Nicholas S. Cairl, Lisa Shea, Miguel A. Hernán, Christa A. Schorr, Rubab F. Malik, Patricia F. Kao, John Wagner, Patrick O’ Hayer, Sonika Puri, Shreyak Sharma, Mariah Thaxton, Seble G. Kassaye, Sidharth Shankar, Paul A. Bergl, Hayley B. Gershengorn, Sanjeev Gupta, Ibrahim Mohamed, Sushrut S. Waikar, Dheeraj Reddy Sirganagari, Jill H. Sharma, Gohar Mosoyan, Kyle B. Enfield, Ian A. Strohbehn, Thuy-Duyen Nguyen, Suzanne M. Boyle, Brent Brown, Rebecca V. Levy, Vasantha K. Jotwani, Alexandre M. Shehata, Maria Plataki, Julia L. Jezmir, Valerie Allusson, Jennifer Griffiths, Chirag R. Parikh, Alfredo Iardino, Emily H. Chang, Sanjana Kapoor, Tanira Ferreira, Harin Rhee, Nicholas Sadovnikoff, Aquino Williams, Vivian S. Cruz, Jay L. Koyner, Kristen M. Hess, Leon Boudourakis, Shahzad Shaefi, Vasil Peev, Omer Kamal, Ugochukwu Ugwuowo, Aromma Kapoor, Anitha Vijayan, Jared Radbel, Husam Shadid, Vadym V. Rusnak, Pattharawin Pattharanitima, Aju Jose, Yohannes Adama Melaku, Jayanth S. Vatson, Tariq U. Azam, Yahya Ahmad, William Whalen, Meghan Lee, Shani Shastri, David De La Zerda, Goni Katz-Greenberg, Hanna Berlin, Todd A. Miano, Seth Goldberg, Jatan A. Shah, Frank Modersitzki, Jag Sunderram, Anna E. Hasty, Esha M. Kapania, Samantha K. Brenner, Pennelope K. Blakely, Elizabeth H. Au, Ronaldo C. Go, Keith M. Rose, Anand Srivastava, Kathleen F. Kopecky, Ilya Berim, Alexander Chaitoff, Danyell Hall, Jingjing Zhang, Michel Chonchol, Gabriel Naimy, Sejal B. Shah, Stephanie M. Toth-Manikowski, Christina Mariyam Joy, Deepa G. Lazarous, Matthew W. Semler, Mark Liotta, Mridula V. Nadamuni, Greg L. Schumaker, Patricia Walters, Joseph E. Levitt, Steven G. Coca, Rana Hejal, Stefi Lee, Pramod Guru, Noor ul aain Bhatti, Jennifer E. Flythe, Daniel L. Edmonston, Asma Tariq, John J. Byun, Jesus Rodriguez, Mrigank S. Gupta, Andrew Vissing, Michal L. Melamed, Howard Soh, Adam E. Green, Yorg Azzi, Ladan Golestaneh, Amee Patrawalla, Amber S. Podoll, Ryan C. Spiardi, Xiaoying Deng, Ishaan Vohra, Carl P. Walther, Michael Chang, John P. Donnelly, David M. Charytan, Anthony J. Faugno, Peter Hart, Ameeka Pannu, Sandeep P. Kishore, Roberta E. Redfern, Ambreen Azhar, Meghan E. Sise, Di Pan, Sang Hoon Woo, H. Bryant Nguyen, Pavan K. Bhatraju, Bradford Diephuis, Justin Arunthamakun, Kaltrina Sedaliu, Ajiboye Oyintayo, Aimee Milliken, Andrew J Admon, Elena Cervantes, Erik T. Newman, Heather Yang, Lili Chan, Nitender Goyal, Peter Cangialosi, Arash Rashidi, David Zonies, Juan D. Valencia, Rebecca Lisk, Zoe Post, Farah Madhani-Lovely, Benjamin M. Wu, Princy N. Kumar, Ethan C. Kim, Maheetha Bharadwaj, Chintan V. Shah, A. Bilal Malik, Siddartha Bajracharya, Gabriela Bambrick-Santoyo, Conor P. Crowley, Ellen L. Burnham, Kianoush Kashani, Ashley Macina, Diana Finkel, Rebecca M. Beutler, Sowminya Arikapudi, Ayesha Ahmed, Edward J. Schenck, Kishan Padalia, Aparna Saha, Alexander J. Hodakowski, Tanya S. Johns, Rayan Kaakati, James P. Lash, Bhavarth Shukla, Mary Mallappallil, Eboni G. Price-Haywood, Steven Menez, Samaya J. Anumudu, Christopher L. Mosher, Rajat Kapoor, Harkarandeep Singh, Amanda K. Leonberg-Yoo, Rui Song, Samah Abu Omar, Laura Latta, Siddharth Verma, Steven Y. Chang, Soo Jung Cho, Emily Leven, Denzel Zhu, Jing G. Wang, Katharine Senter, Bijal Mehta, Ariel Mueller, Peter A. McCullough, Alexander S. Leidner, Milagros Yunes, Akshay Athreya, Carlos Martinez, Muhammad Imran Ali, Matthew J. Tugman, Laura Bickley, Perry Wilson, Chanu Rhee, Ambarish M. Athavale, Shruti Gupta, Samuel A.P. Short, S. Susan Hedayati, Neelja Kumar, Abeer Abu-Saif, Jeffrey M. Paer, Sobaata Chaudhry, Louis T. Merriam, Jochen Reiser, Gabriel Contreras, Eric Judd, Isha Puri, Marta Christov, Afshin Ahoubim, Leslie F. Thomas, Tanima Arora, Eric Goralnick, Elizabeth Anderson, Csaba P. Kovesdy, Alanna L. Jacobs, Marie Anne Sosa, Ashita Tolwani, Ravi K. Kshirsagar, Jason Y. Adams, Tingting Li, Javier A. Neyra, Deena R. Altman, Anip Bansal, Katherine J. Kelly, Sunita Sharma, Jean-Sebastien Rachoin, Zoe A. Kibbelaar, Celia P. Corona-Villalobos, Juan Carlos Q. Velez, Tanveer Shaukat, Leah Meyer, Kalyan Prudhvi, Edy Y. Kim, Madona Elias, Brian T. Garibaldi, Miklos Z. Molnar, Megan L. Krajewski, Sabu John, Girish N. Nadkarni, Molly Fisher, Michael Pan, Zaza Cohen, Min J. Joo, Yumeng Wen, Kapil K. Pokharel, Kusum S. Mathews, Shristi Upadhyay, Charles R. Vasquez, Amanda DeMauro Renaghan, Sergio L. Alvarez-Mulett, Rafey Feroze, Jacqueline M. Kruser, Daniel E. Weiner, Anne Sutherland, Jie Ouyang, Mohamed Farag, Gregory P. Milligan, Meaghan S. Roche, Luis A. Matute-Trochez, Chelsea Meloche, Yan Zhou, Jyotsna Bhattacharya, Sonali Bose, and David E. Leaf
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Adult ,Male ,Medicine (General) ,medicine.medical_specialty ,Exacerbation ,Critical Care ,Organ Dysfunction Scores ,Critical Illness ,Population ,Comorbidity ,General Biochemistry, Genetics and Molecular Biology ,Cohort Studies ,R5-920 ,Intensive care ,medicine ,Humans ,Hospital Mortality ,Intensive care medicine ,education ,Pandemics ,intensive care ,Aged ,Retrospective Studies ,education.field_of_study ,crisis standards of care ,Receiver operating characteristic ,business.industry ,SARS-CoV-2 ,Crew Resource Management, Healthcare ,COVID-19 ,Standard of Care ,Middle Aged ,medicine.disease ,Triage ,United States ,medical ethics ,Cohort ,Practice Guidelines as Topic ,SOFA score ,Female ,triage ,business ,Algorithms - Abstract
Summary: Many US states published crisis standards of care (CSC) guidelines for allocating scarce critical care resources during the COVID-19 pandemic. However, the performance of these guidelines in maximizing their population benefit has not been well tested. In 2,272 adults with COVID-19 requiring mechanical ventilation drawn from the Study of the Treatment and Outcomes in Critically Ill Patients with COVID-19 (STOP-COVID) multicenter cohort, we test the following three approaches to CSC algorithms: Sequential Organ Failure Assessment (SOFA) scores grouped into ranges, SOFA score ranges plus comorbidities, and a hypothetical approach using raw SOFA scores not grouped into ranges. We find that area under receiver operating characteristic (AUROC) curves for all three algorithms demonstrate only modest discrimination for 28-day mortality. Adding comorbidity scoring modestly improves algorithm performance over SOFA scores alone. The algorithm incorporating comorbidities has modestly worse predictive performance for Black compared to white patients. CSC algorithms should be empirically examined to refine approaches to the allocation of scarce resources during pandemics and to avoid potential exacerbation of racial inequities.
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- 2021
32. Heparin Resistance Is Common in Patients Undergoing Extracorporeal Membrane Oxygenation but Is Not Associated with Worse Clinical Outcomes
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Patricia Liu, Ramin Amirsoltani, Tia C L Kohs, Owen J. T. McCarty, Vikram Raghunathan, Sven R. Olson, David Zonies, Joseph J. Shatzel, and Michael Oakes
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Male ,medicine.medical_specialty ,Multivariate analysis ,medicine.medical_treatment ,Population ,Biomedical Engineering ,Biophysics ,Bioengineering ,Hemorrhage ,030204 cardiovascular system & hematology ,Article ,Biomaterials ,03 medical and health sciences ,0302 clinical medicine ,Extracorporeal Membrane Oxygenation ,Internal medicine ,Extracorporeal membrane oxygenation ,medicine ,Humans ,Platelet ,Prospective cohort study ,education ,Retrospective Studies ,education.field_of_study ,business.industry ,Heparin ,Anticoagulants ,General Medicine ,medicine.disease ,Thrombosis ,030228 respiratory system ,Hemostasis ,Female ,business ,medicine.drug - Abstract
Extracorporeal membrane oxygenation (ECMO) protocols generally require systemic anticoagulation with heparin to prevent circuit thrombosis. The prevalence, risk factors, and outcomes of heparin resistance in this setting are ill-defined. To better understand the prevalence and clinical consequences of heparin resistance in this population, we conducted a retrospective analysis of all patients treated with ECMO at a single academic medical center between 2016 and 2019. Univariate and multivariate analyses were used to evaluate predictors and outcomes of heparin resistance. Of 67 patients in our study, 50.7% met the threshold for heparin resistance for at least 1 day, which was managed in all cases with increases in heparin dose. Patients with heparin resistance were more likely to be male (82.4% vs. 48.5%, p = 0.005) and to have a higher mean platelet count (132 vs. 104 × 10(3)/mL, p = 0.027) compared with those without heparin resistance. Multivariate logistic regression found no significant association between the development of heparin resistance and rates of thrombosis, hemorrhage, or overall survival. Additional prospective studies are required to clarify the clinical implications of heparin resistance in this population.
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- 2021
33. Characteristics and Outcomes of Individuals With Pre-existing Kidney Disease and COVID-19 Admitted to Intensive Care Units in the United States
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Jennifer E. Flythe, Magdalene M. Assimon, Matthew J. Tugman, Emily H. Chang, Shruti Gupta, Jatan Shah, Marie Anne Sosa, Amanda DeMauro Renaghan, Michal L. Melamed, F. Perry Wilson, Javier A. Neyra, Arash Rashidi, Suzanne M. Boyle, Shuchi Anand, Marta Christov, Leslie F. Thomas, Daniel Edmonston, David E. Leaf, Carl P. Walther, Samaya J. Anumudu, Justin Arunthamakun, Kathleen F. Kopecky, Gregory P. Milligan, Peter A. McCullough, Thuy-Duyen Nguyen, Shahzad Shaefi, Megan L. Krajewski, Sidharth Shankar, Ameeka Pannu, Juan D. Valencia, Sushrut S. Waikar, Zoe A. Kibbelaar, Ambarish M. Athavale, Peter Hart, Shristi Upadhyay, Ishaan Vohra, Adam Green, Jean-Sebastien Rachoin, Christa A. Schorr, Lisa Shea, Daniel L. Edmonston, Christopher L. Mosher, Alexandre M. Shehata, Zaza Cohen, Valerie Allusson, Gabriela Bambrick-Santoyo, Noor ul aain Bhatti, Bijal Mehta, Aquino Williams, Samantha K. Brenner, Patricia Walters, Ronaldo C. Go, Keith M. Rose, Lili Chan, Kusum S. Mathews, Steven G. Coca, Deena R. Altman, Aparna Saha, Howard Soh, Huei Hsun Wen, Sonali Bose, Emily A. Leven, Jing G. Wang, Gohar Mosoyan, Girish N. Nadkarni, Pattharawin Pattharanitima, Emily J. Gallagher, Allon N. Friedman, John Guirguis, Rajat Kapoor, Christopher Meshberger, Katherine J. Kelly, Chirag R. Parikh, Brian T. Garibaldi, Celia P. Corona-Villalobos, Yumeng Wen, Steven Menez, Rubab F. Malik, Carmen Elena Cervantes, Samir C. Gautam, Mary C. Mallappallil, Jie Ouyang, Sabu John, Ernie Yap, Yohannes Melaku, Ibrahim Mohamed, Siddhartha Bajracharya, Isha Puri, Mariah Thaxton, Jyotsna Bhattacharya, John Wagner, Leon Boudourakis, H. Bryant Nguyen, Afshin Ahoubim, Kianoush Kashani, Shahrzad Tehranian, Dheeraj Reddy Sirganagari, Pramod K. Guru, Yan Zhou, Paul A. Bergl, Jesus Rodriguez, Jatan A. Shah, Mrigank S. Gupta, Princy N. Kumar, Deepa G. Lazarous, Seble G. Kassaye, Tanya S. Johns, Ryan Mocerino, Kalyan Prudhvi, Denzel Zhu, Rebecca V. Levy, Yorg Azzi, Molly Fisher, Milagros Yunes, Kaltrina Sedaliu, Ladan Golestaneh, Maureen Brogan, Neelja Kumar, Michael Chang, Jyotsana Thakkar, Ritesh Raichoudhury, Akshay Athreya, Mohamed Farag, Edward J. Schenck, Soo Jung Cho, Maria Plataki, Sergio L. Alvarez-Mulett, Luis G. Gomez-Escobar, Di Pan, Stefi Lee, Jamuna Krishnan, William Whalen, David Charytan, Ashley Macina, Sobaata Chaudhry, Benjamin Wu, Frank Modersitzki, Anand Srivastava, Alexander S. Leidner, Carlos Martinez, Jacqueline M. Kruser, Richard G. Wunderink, Alexander J. Hodakowski, Juan Carlos Q. Velez, Eboni G. Price-Haywood, Luis A. Matute-Trochez, Anna E. Hasty, Muner M.B. Mohamed, Rupali S. Avasare, David Zonies, Meghan E. Sise, Erik T. Newman, Samah Abu Omar, Kapil K. Pokharel, Shreyak Sharma, Harkarandeep Singh, Simon Correa, Tanveer Shaukat, Omer Kamal, Wei Wang, Heather Yang, Jeffery O. Boateng, Meghan Lee, Ian A. Strohbehn, Jiahua Li, Ariel L. Mueller, Roberta Redfern, Nicholas S. Cairl, Gabriel Naimy, Abeer Abu-Saif, Danyell Hall, Laura Bickley, Chris Rowan, Farah Madhani-Lovely, Vasil Peev, Jochen Reiser, John J. Byun, Andrew Vissing, Esha M. Kapania, Zoe Post, Nilam P. Patel, Joy-Marie Hermes, Anne K. Sutherland, Amee Patrawalla, Diana G. Finkel, Barbara A. Danek, Sowminya Arikapudi, Jeffrey M. Paer, Peter Cangialosi, Mark Liotta, Jared Radbel, Sonika Puri, Jag Sunderram, Matthew T. Scharf, Ayesha Ahmed, Ilya Berim, Jayanth S. Vatson, Joseph E. Levitt, Pablo Garcia, Rui Song, Jingjing Zhang, Sang Hoon Woo, Xiaoying Deng, Goni Katz-Greenberg, Katharine Senter, Moh’d A. Sharshir, Vadym V. Rusnak, Muhammad Imran Ali, Anip Bansal, Amber S. Podoll, Michel Chonchol, Sunita Sharma, Ellen L. Burnham, Rana Hejal, Eric Judd, Laura Latta, Ashita Tolwani, Timothy E. Albertson, Jason Y. Adams, Ronald Reagan, Steven Y. Chang, Rebecca M. Beutler, Santa Monica, Carl E. Schulze, Etienne Macedo, Harin Rhee, Kathleen D. Liu, Vasantha K. Jotwani, Jay L. Koyner, Alissa Kunczt, Chintan V. Shah, Vishal Jaikaransingh, Stephanie M. Toth-Manikowski, Min J. Joo, James P. Lash, Nourhan Chaaban, Rajany Dy, Alfredo Iardino, Elizabeth H. Au, Jill H. Sharma, Sabrina Taldone, Gabriel Contreras, David De La Zerda, Hayley B. Gershengorn, Salim S. Hayek, Pennelope Blakely, Hanna Berlin, Tariq U. Azam, Husam Shadid, Michael Pan, Patrick O’ Hayer, Chelsea Meloche, Rafey Feroze, Rayan Kaakati, Danny Perry, Abbas Bitar, Elizabeth Anderson, Kishan J. Padalia, John P. Donnelly, Andrew J. Admon, Brent R. Brown, Amanda K. Leonberg-Yoo, Ryan C. Spiardi, Todd A. Miano, Meaghan S. Roche, Charles R. Vasquez, Amar D. Bansal, Natalie C. Ernecoff, Sanjana Kapoor, Siddharth Verma, Huiwen Chen, Csaba P. Kovesdy, Miklos Z. Molnar, Ambreen Azhar, S. Susan Hedayati, Mridula V. Nadamuni, Shani Shastri, Duwayne L. Willett, Samuel A.P. Short, Amanda D. Renaghan, Kyle B. Enfield, Pavan K. Bhatraju, A. Bilal Malik, Matthew W. Semler, Anitha Vijayan, Christina Mariyam Joy, Tingting Li, Seth Goldberg, Patricia F. Kao, Greg L. Schumaker, Nitender Goyal, Anthony J. Faugno, Caroline M. Hsu, Asma Tariq, Leah Meyer, Ravi K. Kshirsagar, Daniel E. Weiner, Aju Jose, Jennifer Griffiths, Sanjeev Gupta, Aromma Kapoor, Perry Wilson, Tanima Arora, and Ugochukwu Ugwuowo
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medicine.medical_specialty ,030232 urology & nephrology ,Renal function ,Original Investigations ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,Intensive care ,medicine ,critical illness ,030212 general & internal medicine ,Survival analysis ,Kidney ,business.industry ,SARS-CoV-2 ,Confounding ,COVID-19 ,Retrospective cohort study ,medicine.disease ,medicine.anatomical_structure ,Respiratory failure ,Nephrology ,end stage kidney disease ,dialysis ,business ,chronic kidney disease ,Kidney disease - Abstract
Rationale & Objective Underlying kidney disease is an emerging risk factor for more severe COVID-19 illness. We examined the clinical courses of critically ill COVID-19 patients with and without pre-existing kidney disease and investigated the association between degree of underlying kidney disease and in-hospital outcomes. Study Design Retrospective cohort study Settings & Participants 4,264 critically ill COVID-19 patients (143 dialysis patients, 521 chronic kidney disease [CKD] patients, and 3,600 patients without CKD) admitted to ICUs at 68 hospitals in the United States. Predictor(s) Presence (versus absence) of pre-existing kidney disease Outcome(s) In-hospital mortality (primary); respiratory failure, shock, ventricular arrhythmia/ cardiac arrest, thromboembolic event, major bleed, and acute liver injury (secondary) Analytical Approach We used standardized differences to compare patient characteristics (values >0.10 indicate a meaningful difference between groups) and multivariable adjusted Fine and Gray survival models to examine outcome associations. Results Dialysis patients had a shorter time from symptom onset to ICU admission compared to other groups (median [quartile 1-quartile 3] days: 4 [2-9] for dialysis patients; 7 [3-10] for CKD patients; 7 [4-10] for patients without pre-existing kidney disease). More dialysis patients (25%) reported altered mental status than those with CKD (20%, standardized difference = 0.12) and no kidney disease (12%, standardized difference = 0.36). Half of dialysis and CKD patients died within 28-days of ICU admission versus 35% of patients without pre-existing kidney disease. Compared to patients without pre-existing kidney disease, dialysis patients had a higher risk of 28-day in-hospital death (adjusted HR 1.41; 95% CI 1.09, 1.81), while patients with CKD had an intermediate risk (adjusted HR 1.25; 95% CI 1.08, 1.44). Limitations Potential residual confounding Conclusions Findings highlight the high mortality of individuals with underlying kidney disease and severe COVID-19, underscoring the importance of identifying safe and effective COVID-19 therapies for this vulnerable population., Individuals with underlying kidney disease may be particularly vulnerable to severe COVID-19 illness, marked by multi-system organ failure, thrombosis, and a heightened inflammatory response. Among 4,264 critically ill adults with COVID-19 admitted to 68 intensive care units across the U.S., we found that both chronic kidney disease and dialysis patients had a ∼50% 28-day in-hospital mortality rate. Patients with underlying kidney disease had higher in-hospital mortality than patients without kidney disease, with patients on maintenance dialysis having the highest risk. As evidenced by differences in symptoms and clinical trajectories, patients with pre-existing kidney disease may have unique susceptibility to COVID-19-related complications which warrants additional study and special consideration in the pursuit and development of targeted therapies.
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- 2021
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34. Thrombosis, Bleeding, and the Observational Effect of Early Therapeutic Anticoagulation on Survival in Critically Ill Patients With COVID-19
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Hanny Al-Samkari, Shruti Gupta, Rebecca Karp Leaf, Wei Wang, Rachel P. Rosovsky, Samantha K. Brenner, Salim S. Hayek, Hanna Berlin, Rajat Kapoor, Shahzad Shaefi, Michal L. Melamed, Anne Sutherland, Jared Radbel, Adam Green, Brian T. Garibaldi, Anand Srivastava, Amanda Leonberg-Yoo, Alexandre M. Shehata, Jennifer E. Flythe, Arash Rashidi, Nitender Goyal, Lili Chan, Kusum S. Mathews, S. Susan Hedayati, Rajany Dy, Stephanie M. Toth-Manikowski, Jingjing Zhang, Mary Mallappallil, Roberta E. Redfern, Amar D. Bansal, Samuel A.P. Short, Mark G. Vangel, Andrew J. Admon, Matthew W. Semler, Kenneth A. Bauer, Miguel A. Hernán, David E. Leaf, Carl P. Walther, Samaya J. Anumudu, Justin Arunthamakun, Kathleen F. Kopecky, Gregory P. Milligan, Peter A. McCullough, Thuy-Duyen Nguyen, Megan L. Krajewski, Sidharth Shankar, Ameeka Pannu, Juan D. Valencia, Sushrut S. Waikar, Zoe A. Kibbelaar, Ambarish M. Athavale, Peter Hart, Shristi Upadhyay, Ishaan Vohra, Ajiboye Oyintayo, Jean-Sebastien Rachoin, Christa A. Schorr, Lisa Shea, Daniel L. Edmonston, Christopher L. Mosher, Zaza Cohen, Valerie Allusson, Gabriela Bambrick-Santoyo, Noor ul aain Bhatti, Bijal Mehta, Aquino Williams, Patricia Walters, Ronaldo C. Go, Keith M. Rose, Amy M. Zhou, Ethan C. Kim, Rebecca Lisk, Steven G. Coca, Deena R. Altman, Aparna Saha, Howard Soh, Huei Hsun Wen, Sonali Bose, Emily A. Leven, Jing G. Wang, Gohar Mosoyan, Pattharawin Pattharanitima, Emily J. Gallagher, Allon N. Friedman, John Guirguis, Christopher Meshberger, Katherine J. Kelly, Chirag R. Parikh, Celia P. Corona-Villalobos, Yumeng Wen, Steven Menez, Rubab F. Malik, Carmen Elena Cervantes, Samir C. Gautam, Mary C. Mallappallil, Jie Ouyang, Sabu John, Ernie Yap, Yohannes Melaku, Ibrahim Mohamed, Siddhartha Bajracharya, Isha Puri, Mariah Thaxton, Jyotsna Bhattacharya, John Wagner, Leon Boudourakis, H. Bryant Nguyen, Afshin Ahoubim, Leslie F. Thomas, Dheeraj Reddy Sirganagari, Pramod K. Guru, Yan Zhou, Paul A. Bergl, Jesus Rodriguez, Jatan A. Shah, Mrigank S. Gupta, Princy N. Kumar, Deepa G. Lazarous, Seble G. Kassaye, Tanya S. Johns, Ryan Mocerino, Kalyan Prudhvi, Denzel Zhu, Rebecca V. Levy, Yorg Azzi, Molly Fisher, Milagros Yunes, Kaltrina Sedaliu, Ladan Golestaneh, Maureen Brogan, Jyotsana Thakkar, Neelja Kumar, Michael J. Ross, Michael Chang, Ritesh Raichoudhury, Akshay Athreya, Mohamed Farag, Edward J. Schenck, Soo Jung Cho, Maria Plataki, Sergio L. Alvarez-Mulett, Luis G. Gomez-Escobar, Di Pan, Stefi Lee, Jamuna Krishnan, William Whalen, David Charytan, Ashley Macina, Alexander S. Leidner, Carlos Martinez, Jacqueline M. Kruser, Richard G. Wunderink, Alexander J. Hodakowski, Juan Carlos Q. Velez, Eboni G. Price-Haywood, Luis A. Matute-Trochez, Anna E. Hasty, Muner M.B. Mohamed, Rupali S. Avasare, David Zonies, Rachel Rosovsky, Meghan E. Sise, Erik T. Newman, Samah Abu Omar, Kapil K. Pokharel, Shreyak Sharma, Harkarandeep Singh, Simon Correa, Tanveer Shaukat, Omer Kamal, Meghan Lee, Ian A. Strohbehn, Jiahua Li, Ariel L. Mueller, Nicholas S. Cairl, Gabriel Naimy, Abeer Abu-Saif, Danyell Hall, Laura Bickley, Chris Rowan, Farah Madhani-Lovely, Vasil Peev, Jochen Reiser, John J. Byun, Andrew Vissing, Esha M. Kapania, Zoe Post, Nilam P. Patel, Joy-Marie Hermes, Anne K. Sutherland, Amee Patrawalla, Diana G. Finkel, Barbara A. Danek, Sowminya Arikapudi, Jeffrey M. Paer, Peter Cangialosi, Mark Liotta, Sonika Puri, Jag Sunderram, Matthew T. Scharf, Ayesha Ahmed, Ilya Berim, Jayanth S. Vatson, George Karp, Shuchi Anand, Joseph E. Levitt, Pablo Garcia, Suzanne M. Boyle, Rui Song, Sang Hoon Woo, Xiaoying Deng, Goni Katz-Greenberg, Moh'd A. Sharshir, Vadym V. Rusnak, Muhammad Imran Ali, Anip Bansal, Amber S. Podoll, Michel Chonchol, Sunita Sharma, Ellen L. Burnham, Rana Hejal, Eric Judd, Laura Latta, Ashita Tolwani, Timothy E. Albertson, Jason Y. Adams, Steven Y. Chang, Rebecca M. Beutler, Carl E. Schulze, Etienne Macedo, Harin Rhee, Kathleen D. Liu, Vasantha K. Jotwani, Jay L. Koyner, Chintan V. Shah, Vishal Jaikaransingh, Min J. Joo, James P. Lash, Javier A. Neyra, Nourhan Chaaban, Madona Elias, Yahya Ahmad, Alfredo Iardino, Elizabeth H. Au, Jill H. Sharma, Marie Anne Sosa, Sabrina Taldone, Gabriel Contreras, David De La Zerda, Hayley B. Gershengorn, Alessia Fornoni, Pennelope Blakely, Tariq U. Azam, Husam Shadid, Michael Pan, Patrick O’Hayer, Chelsea Meloche, Rafey Feroze, Kishan J. Padalia, Jeff Leya, John P. Donnelly, Matthew J. Tugman, Emily H. Chang, Brent R. Brown, Amanda K. Leonberg-Yoo, Ryan C. Spiardi, Todd A. Miano, Meaghan S. Roche, Charles R. Vasquez, Natalie C. Ernecoff, Sanjana Kapoor, Siddharth Verma, Huiwen Chen, Csaba P. Kovesdy, Miklos Z. Molnar, Ambreen Azhar, Mridula V. Nadamuni, Shani Shastri, Duwayne L. Willett, Amanda D. Renaghan, Kyle B. Enfield, Pavan K. Bhatraju, A. Bilal Malik, Anitha Vijayan, Christina Mariyam Joy, Tingting Li, Seth Goldberg, Patricia F. Kao, Greg L. Schumaker, Anthony J. Faugno, Caroline M. Hsu, Asma Tariq, Leah Meyer, Ravi K. Kshirsagar, Daniel E. Weiner, Marta Christov, Jennifer Griffiths, Sanjeev Gupta, Aromma Kapoor, Savneek Chugh, Perry Wilson, Tanima Arora, and Ugochukwu Ugwuowo
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Male ,medicine.medical_specialty ,Critical Illness ,Hemorrhage ,01 natural sciences ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Interquartile range ,law ,Internal Medicine ,medicine ,Humans ,030212 general & internal medicine ,0101 mathematics ,Survival rate ,Original Research ,Aged ,Proportional hazards model ,business.industry ,SARS-CoV-2 ,Incidence (epidemiology) ,010102 general mathematics ,Hazard ratio ,Anticoagulants ,COVID-19 ,General Medicine ,Venous Thromboembolism ,Blood Coagulation Disorders ,Middle Aged ,Intensive care unit ,United States ,Survival Rate ,Intensive Care Units ,Emergency medicine ,Observational study ,Female ,business ,Cohort study - Abstract
Hypercoagulability may be a key mechanism of death in patients with COVID-19. This cohort study evaluated the incidence of venous thromboembolism and major bleeding in critically ill patients with COVID-19 and examined the observational effect of early therapeutic anticoagulation on survival., Visual Abstract. Early Anticoagulation in COVID-19 Hypercoagulability may be a key mechanism of death in patients with COVID-19. This cohort study evaluated the incidence of venous thromboembolism and major bleeding in critically ill patients with COVID-19 and examined the observational effect of early therapeutic anticoagulation on survival. Visual Abstract. Early Anticoagulation in COVID-19 Hypercoagulability may be a key mechanism of death in patients with COVID-19. This cohort study evaluated the incidence of venous thromboembolism and major bleeding in critically ill patients with COVID-19 and examined the observational effect of early therapeutic anticoagulation on survival., Background: Hypercoagulability may be a key mechanism of death in patients with coronavirus disease 2019 (COVID-19). Objective: To evaluate the incidence of venous thromboembolism (VTE) and major bleeding in critically ill patients with COVID-19 and examine the observational effect of early therapeutic anticoagulation on survival. Design: In a multicenter cohort study of 3239 critically ill adults with COVID-19, the incidence of VTE and major bleeding within 14 days after intensive care unit (ICU) admission was evaluated. A target trial emulation in which patients were categorized according to receipt or no receipt of therapeutic anticoagulation in the first 2 days of ICU admission was done to examine the observational effect of early therapeutic anticoagulation on survival. A Cox model with inverse probability weighting to adjust for confounding was used. Setting: 67 hospitals in the United States. Participants: Adults with COVID-19 admitted to a participating ICU. Measurements: Time to death, censored at hospital discharge, or date of last follow-up. Results: Among the 3239 patients included, the median age was 61 years (interquartile range, 53 to 71 years), and 2088 (64.5%) were men. A total of 204 patients (6.3%) developed VTE, and 90 patients (2.8%) developed a major bleeding event. Independent predictors of VTE were male sex and higher D-dimer level on ICU admission. Among the 2809 patients included in the target trial emulation, 384 (11.9%) received early therapeutic anticoagulation. In the primary analysis, during a median follow-up of 27 days, patients who received early therapeutic anticoagulation had a similar risk for death as those who did not (hazard ratio, 1.12 [95% CI, 0.92 to 1.35]). Limitation: Observational design. Conclusion: Among critically ill adults with COVID-19, early therapeutic anticoagulation did not affect survival in the target trial emulation. Primary Funding Source: None.
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- 2021
35. Early Findings of Intracortical Depth Electrocorticography Monitoring in Traumatic Brain Injury Patients
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Ahmed M. Raslan, Paul Motika, Brittany Stedelin, Zoe E. Teton, David Zonies, Justin S. Cetas, Dominic A. Siler, Martin A. Schreiber, and Joseph G. Nugent
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medicine.diagnostic_test ,business.industry ,Traumatic brain injury ,Glasgow Coma Scale ,Alpha (ethology) ,Electroencephalography ,medicine.disease ,Intensive care unit ,law.invention ,medicine.anatomical_structure ,law ,Scalp ,Anesthesia ,Medicine ,Intracranial pressure monitoring ,Surgery ,Neurology (clinical) ,business ,Electrocorticography - Published
- 2020
36. Abstract 16543: Severe Thrombocytopenia is Common in Adults Undergoing Venoarterial Extracorporeal Membrane Oxygenation and is Predictive of Hemorrhage
- Author
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Tia C L Kohs, Ramin Amirsoltani, Patricia Liu, Joseph J. Shatzel, Michael Oakes, Vikram Raghunathan, Sven R. Olson, Owen J. T. McCarty, and David Zonies
- Subjects
business.industry ,medicine.medical_treatment ,Extracorporeal circulation ,Severe thrombocytopenia ,law.invention ,law ,Physiology (medical) ,Anesthesia ,Circulatory system ,Cardiopulmonary bypass ,Extracorporeal membrane oxygenation ,medicine ,Cardiology and Cardiovascular Medicine ,business - Abstract
Introduction: Extracorporeal membrane oxygenation (ECMO) is used to provide circulatory support and facilitate gas exchange via cardiopulmonary bypass. The relationship between ECMO and the incidence of severe thrombocytopenia (platelet count 9 /L) and subsequent clinical consequences are ill defined. We aimed to identify the risk factors for the development of thrombocytopenia and its clinical implications. Methods: This is a single-center retrospective cohort study of adults who received venoarterial (VA) ECMO. We examined consecutive platelet counts while on ECMO. Univariate logistic regression was used to determine if mean platelet count, platelet count range, or severe thrombocytopenia were predictors of overall survival, hemorrhage and thrombosis. A multivariate logistic regression model was used to identify factors that contribute to the development of the aforementioned patient outcomes. Results: In our cohort, 33 patients were included with a mean age of 55 years and duration of ECMO of 5.9 days. All patients received heparin, 33.3% received antiplatelet therapy and 45.5% developed severe thrombocytopenia. In univariate, analysis the development of severe thrombocytopenia increased the odds of major bleeding by 450% (OR 5.500, 95% CI 1.219 - 24.813, P -value 0.027), and the odds of surviving hospitalization decreased 84.1% (OR 0.159, 95% CI 0.033 - 0.773, P -value 0.023). Multivariate logistic regression controlling for additional clinical variables found no significant association between the development of severe thrombocytopenia and rates of thrombosis, hemorrhage, or overall survival. Platelet count decreased over time while on ECMO. Conclusions: Nearly half of the patients requiring VA-ECMO developed severe thrombocytopenia, which was associated with an increased risk of hemorrhage and in-hospital mortality. Additional studies are required to clarify the clinical implications of severe thrombocytopenia in ECMO patients.
- Published
- 2020
37. Effective Palliative Care in the Trauma Setting
- Author
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David Zonies, Mackenzie R. Cook, Karen J. Brasel, and Kristen L. Schultz
- Subjects
Male ,medicine.medical_specialty ,Palliative care ,Quality management ,Traumatic brain injury ,Exploratory laparotomy ,medicine.medical_treatment ,Clinical Decision-Making ,01 natural sciences ,Patient Care Planning ,03 medical and health sciences ,0302 clinical medicine ,Quality of life (healthcare) ,Fatal Outcome ,medicine ,Humans ,Family ,030212 general & internal medicine ,0101 mathematics ,Intensive care medicine ,Surgical team ,Clinical Deterioration ,business.industry ,Multiple Trauma ,Communication ,010102 general mathematics ,Palliative Care ,General Medicine ,Middle Aged ,medicine.disease ,Traumatology ,Intracranial pressure monitoring ,Decompressive craniectomy ,business ,Decision Making, Shared - Abstract
A 55-year-old man undergoes emergent exploratory laparotomy and splenectomy following a motorcycle collision. Following surgery, he is found to have a traumatic brain injury requiring decompressive craniectomy and intracranial pressure monitoring. The patient then continues to have complications throughout his hospital course. Using the American College of Surgeons Trauma Quality Improvement Program guidelines, the surgical team has early and ongoing primary palliative care discussions to foster communication and determine goals of care for the patient. As the patient deteriorates, the surgical team continues meeting with the patient’s surrogate decision makers to discuss the best case and worst case scenarios regarding the patient’s prognosis and expected quality of life.
- Published
- 2020
38. Geriatric Trauma Decision-Making Based on Functional Outcomes
- Author
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Andrea K. Nagengast and David Zonies
- Subjects
Geriatric trauma ,business.industry ,Geriatric population ,medicine ,Medical emergency ,medicine.disease ,business - Abstract
Learn the nuance of trauma in the geriatric population. Information gathering from the EMR, POLST databases, and family members is crucial to establishing patient function-centered goals of care.
- Published
- 2020
39. Acute Respiratory Failure
- Author
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Jeremy Cannon, Jeremy Pamplin, David Zonies, Phillip Mason, Christy Sine, Leopoldo Cancio, Jeffrey McNeill, Christopher Colombo, Erik Osborn, Robert Ricca, Patrick Allan, Jeff DellaVolpe, Kevin Chung, and Zsolt Stockinger
- Subjects
Patient Transfer ,Respiratory Distress Syndrome ,Critical Illness ,Public Health, Environmental and Occupational Health ,Guidelines as Topic ,030208 emergency & critical care medicine ,General Medicine ,030204 cardiovascular system & hematology ,Respiration, Artificial ,03 medical and health sciences ,Extracorporeal Membrane Oxygenation ,0302 clinical medicine ,Fluid Therapy ,Humans ,Blood Transfusion ,Hospital Mortality - Abstract
Acute respiratory distress syndrome (ARDS) is a condition affecting critically ill patients, characterized by pulmonary inflammation and defects in oxygenation due to either direct or indirect injury to the lungs. These guidelines will define the diagnosis and management of ARDS, particularly among combat casualties and patients in the deployed environment. The cornerstone of management of ARDS involves maintaining adequate oxygenation while avoiding further pulmonary injury through lung-protective ventilation. Additional strategies for advanced respiratory failure, such as prone positioning, neuromuscular blockade, and extracorporeal membrane oxygenation will be reviewed here as well. Particularly important to the care of the patient with ARDS in the deployed environment is a familiarity with the challenges and indications for transport/aeromedical evacuation.
- Published
- 2018
40. Trauma patients are safe to fly 72 hours after tube thoracostomy removal
- Author
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Vincent Paul, John S. Oh, David Zonies, Jeremy W. Cannon, Joel Elterman, and Christopher J. Burns
- Subjects
Adult ,Male ,medicine.medical_specialty ,Thoracic Injuries ,Wounds, Penetrating ,Thoracostomy ,030204 cardiovascular system & hematology ,Critical Care and Intensive Care Medicine ,Risk Assessment ,Young Adult ,03 medical and health sciences ,Injury Severity Score ,0302 clinical medicine ,Recurrence ,Humans ,Medicine ,Device Removal ,Retrospective Studies ,Air travel ,business.industry ,Incidence ,Pneumothorax ,Expert consensus ,030208 emergency & critical care medicine ,Retrospective cohort study ,Traumatic pneumothorax ,medicine.disease ,respiratory tract diseases ,Surgery ,Radiography ,Air Travel ,Chest Tubes ,business ,Risk assessment - Abstract
Current recommendations for safe air travel following traumatic pneumothorax are 2 to 3 weeks after radiographic resolution. These recommendations are based on several small observational studies and expert consensus, which cite a theoretical risk of recurrence and hypoxia because of decreased oxygen tension at altitude. We sought to systematically study the timing of chest drain removal after traumatic pneumothorax and risk of recurrence in relation to air travel.A retrospective cohort study of consecutively admitted patients who sustained a traumatic chest injury treated with tube thoracostomy over a 5-year period was undertaken. Adult patients with a postremoval expiratory chest x-ray demonstrating absence of pneumothorax and at least a 24-hour observation period before flight were eligible for study. All patients were transferred to a participating medical center for continued care. In-flight medical monitoring was available for all patients. Baseline patient characteristics, interval period from drain removal to flight, in-flight medical records, and incidence of radiographic or clinical recurrence of pneumothorax at the destination facility were recorded.Seventy-three patients who met the inclusion criteria were studied. All were male with a median age of 24 years (interquartile range [IQR], 22-26 years), injury severity score of 30 (IQR, 24-38), and chest abbreviated injury scale value of 3 (IQR, 2-4). The majority of patients sustained a penetrating injury (74%). The median duration of tube thoracostomy was 4 days (IQR, 3-6 days). The median period between thoracostomy tube removal and flight was 2.5 days (IQR, 1.5-4 days). Twenty-nine patients (40%) remained mechanically ventilated during transport. There were no reported in-flight medical emergencies for the entire cohort. There were no reported postflight radiographic or clinical recurrences during the subsequent 30 days.After a 72-hour period of observation, air travel after tube thoracostomy removal appears safe for both mechanically ventilated and nonventilated patients.Therapeutic, level IV.
- Published
- 2018
41. Palliative Care for the Trauma Patient
- Author
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Jessica H. Ballou and David Zonies
- Subjects
medicine.medical_specialty ,Trauma patient ,Palliative care ,business.industry ,Medicine ,business ,Intensive care medicine - Abstract
Trauma results in acute and chronic physical, spiritual, and emotional injuries for patients and their families that can be as devastating as their new physical limitations. Trauma patients have palliative care needs and benefit from early palliative care assessments to meet their multidisciplinary needs. Palliative care, with its focus on multidisciplinary symptom management and coordinated care, is an integral component of trauma care. Identifying persons in need of specialty palliative care, such as frail persons at the extremes of age, spinal cord injuries, traumatic brain injuries, or complex comorbidities or social circumstances allows for better allocation of palliative care resources.
- Published
- 2019
42. Indications and outcomes of extracorporeal life support in trauma patients
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Ali Ait Hssain, Ryan P. Barbaro, David Zonies, Pauline K. Park, Justyna Swol, Roberto Lorusso, Nicholas C. Cavarocchi, Daniel Brodie, Lena M. Napolitano, David Michael McMullan, Ravi R. Thiagarajan, Peter Rycus, CTC, RS: CARIM - R2.12 - Surgical intervention, and MUMC+: MA Med Staf Spec CTC (9)
- Subjects
Male ,ARDS ,medicine.medical_treatment ,RESPIRATORY-DISTRESS-SYNDROME ,030204 cardiovascular system & hematology ,Critical Care and Intensive Care Medicine ,extracorporeal life support ,Life Support Care ,ORGANIZATION REGISTRY ,0302 clinical medicine ,Risk Factors ,Registries ,Aged, 80 and over ,education.field_of_study ,IMPROVES SURVIVAL ,Middle Aged ,Survival Rate ,Female ,Cohort study ,Adult ,endocrine system ,medicine.medical_specialty ,Adolescent ,Population ,Trauma ,RETROSPECTIVE COHORT ,Extracorporeal ,ACUTE LUNG INJURY ,03 medical and health sciences ,medicine ,Extracorporeal membrane oxygenation ,Humans ,Intensive care medicine ,education ,Aged ,Retrospective Studies ,business.industry ,MORTALITY ,MEMBRANE-OXYGENATION ,respiratory failure ,030208 emergency & critical care medicine ,Retrospective cohort study ,extracorporeal membrane oxygenation ,CARE ,medicine.disease ,Life support ,cardiac failure ,Wounds and Injuries ,Surgery ,business - Abstract
BACKGROUND The use of extracorporeal life support (ECLS) in the trauma population remains controversial and has been reported only in small cohort studies. Recent ECLS technical advances have increased its use as an advanced critical care option in trauma. Given the degree of resource utilization, costs, and expertise required to provide ECLS support in trauma patients, we sought to perform a multi-institutional study to assess the indications and outcomes of ECLS in trauma. METHODS A retrospective review of adult (16 years) trauma patients receiving ECLS support in the Extracorporeal Life Support Organization (ELSO) registry (1989-2016) was performed. Standardized data from the contributing ELSO centers includes patient demographics, diagnoses, and ECLS technique and procedures. Additionally, baseline characteristics, precannulation and postcannulation physiologic data, complications, and outcomes were recorded. Survival was categorized both by transition off ECLS support and survival to hospital discharge. RESULTS Two hundred seventy-nine trauma patients were identified (0.92% of 30,273 adult ECLS patients). Extracorporeal life support increased significantly in the last 5 years (173 in 2011-2016, 62%) compared with 106 in the prior 18 years. Trauma patients were predominantly male (78%), with a mean age of 34.8 15.4 years (range, 16-88 years). Thoracic injury was the most common diagnosis; acute respiratory distress syndrome was the most common indication. Extracorporeal life support was venovenous for respiratory failure (89%), VA for cardiac failure (7%), and VA for ECLS-assisted cardiopulmonary resuscitation (CPR) (E-CPR) (4%). Extracorporeal life support duration was 8.8 9.5 days (longest 83 days), and was longer for respiratory support (9.3 +/- 9.3 days) vs. cardiac support (4.1 +/- 4.5 days) and E-CPR (6.5 +/- 16.8 days). Overall survival from ECLS was 70% and survival to hospital discharge was 61% in the total cohort (63% respiratory, 50% cardiac, 25% E-CPR), similar to survival rates in other ELSO registry cohorts. More than 80% of patients had a reported complication during ECLS support. The most common complication was cardiovascular (51%) followed by a bleeding complication (29%). Multiple organ failure was the most common cause of death (15.4%). CONCLUSION Data from the largest registry of critically ill trauma patients receiving ECLS support demonstrates reasonable survival. With growing experience and improved safety profile, trauma should not be considered a contraindication for ECLS. Further analysis of the ELSO registry regarding trauma-specific risk factors and ECLS-specific practices may identify best candidates and improve trauma ECLS outcomes. LEVEL OF EVIDENCE Therapeutic study, level III.
- Published
- 2018
43. Early traumatic brain injury screen in 6594 inpatient combat casualties
- Author
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Joel Elterman, David Zonies, Kathleen D. Martin, and Christopher R. Connelly
- Subjects
Adult ,Male ,medicine.medical_specialty ,Traumatic brain injury ,Poison control ,Neuroimaging ,Neuropsychological Tests ,Hospitals, Military ,Severity of Illness Index ,Occupational safety and health ,Stress Disorders, Post-Traumatic ,Disability Evaluation ,03 medical and health sciences ,0302 clinical medicine ,Blast Injuries ,Germany ,Brain Injuries, Traumatic ,Injury prevention ,Concussion ,medicine ,Humans ,030212 general & internal medicine ,Iraq War, 2003-2011 ,Retrospective Studies ,General Environmental Science ,Afghan Campaign 2001 ,Depression ,business.industry ,Incidence (epidemiology) ,Trauma center ,Head injury ,medicine.disease ,United States ,Military Personnel ,Emergency medicine ,Physical therapy ,General Earth and Planetary Sciences ,Female ,business ,Algorithms ,030217 neurology & neurosurgery - Abstract
Introduction The purpose of this study was to review the inpatient traumatic brain injury (TBI) screening program at a Role IV regional resource trauma center. TBI has been coined the “signature wound” during current U.S. combat operations. All patients injured in Iraq or Afghanistan who transit through Landstuhl Regional Medical Center (LRMC) undergo an initial TBI screen regardless of anatomic injury. The incidence and factors associated with positive screening for concussion (physical event + alteration of consciousness (AOC)) and TBI diagnoses were examined. Methods A retrospective review of consecutively admitted patients to LRMC who underwent a TBI screen from 5/06 to 7/11 was performed. Patient characteristics, self-reported symptoms, and TBI diagnoses were analyzed. Findings Among 43,852 patients screened during the 5-year period, 6594 were admitted, of whom, 6590 received a complete TBI screen. Predominantly male (97.1%), the mean age was 26.7 ± 7.4 yrs. The average GCS and ISS at admission were 13.9 ± 2.8 and 10.1 ± 8.6, respectively. Positively screened patients averaged 1.8 deployments, 69.5% experienced one or more blasts, 16.1% experienced one or more vehicular crashes, with 18.0% reporting a prior head injury. Of the 2805 (42.6%) who screened positive for possible concussion, 2393 (85.3%) were diagnosed with a concussion/TBI during their inpatient stay; the remaining 412 (14.7%) were identified by screening only. Of the screened positive patients, 1953 (69.6%) reported 1 or more current concussion/TBI-related symptoms; of those with symptom(s), 532 (27.2%) reported 5 or more. Conclusions Early screening based on self-report identified a large number of patients admitted directly from the combat zone with possible deployment-related concussion and TBI symptoms. Such screening provides valuable information to guide decisions about early management and return to duty. Level of evidence Level III, Therapeutic.
- Published
- 2017
44. Advanced extracorporeal therapy in trauma
- Author
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David Zonies and Matthias J. Merkel
- Subjects
medicine.medical_specialty ,Critical Illness ,medicine.medical_treatment ,Treatment outcome ,Shock, Hemorrhagic ,030204 cardiovascular system & hematology ,Critical Care and Intensive Care Medicine ,Extracorporeal ,03 medical and health sciences ,Extracorporeal Membrane Oxygenation ,0302 clinical medicine ,Trauma Centers ,Extracorporeal membrane oxygenation ,medicine ,Humans ,Intensive care medicine ,Heparin ,business.industry ,Anticoagulants ,030208 emergency & critical care medicine ,Treatment Outcome ,Life support ,Critical illness ,Wounds and Injuries ,Respiratory Insufficiency ,business - Abstract
The purpose is to review the current application of extracorporeal life support (ECLS) in trauma patients. In addition, programmatic development is described.ECLS use is increasing among trauma patients. Several recent studies among trauma patients report survival rates of 65-79%. Despite the high bleeding risk, extracorporeal membrane oxygenation (ECMO) may be safely implemented in trauma patients based on a strict protocol-driven policy. Early implementation may improve overall outcomes. Alternative anticoagulants and heparin free periods may be well tolerated in trauma patients at high risk of hemorrhage.ECMO is becoming a more routine option in severely injured trauma patients that develop severe respiratory failure. Well tolerated implementation and program development is possible among regional trauma centers. Although clinical knowledge gaps exist, ECMO is a promising treatment in this high-risk population.
- Published
- 2016
45. Elderly patients presenting to a Level I trauma center with Physician Orders for a Life-Sustaining Treatment form: A propensity-matched analysis
- Author
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Jessica H. Ballou, Elizabeth N. Dewey, and David Zonies
- Subjects
Advance care planning ,Male ,medicine.medical_specialty ,Palliative care ,Critical Care and Intensive Care Medicine ,03 medical and health sciences ,0302 clinical medicine ,Life sustaining treatment ,Geriatric trauma ,Trauma Centers ,medicine ,Humans ,Patient treatment ,Elderly trauma ,Hospital Mortality ,Propensity Score ,Aged ,Resuscitation Orders ,Retrospective Studies ,Aged, 80 and over ,business.industry ,Trauma center ,030208 emergency & critical care medicine ,Length of Stay ,medicine.disease ,Intensive Care Units ,Treatment Outcome ,Propensity score matching ,Emergency medicine ,Wounds and Injuries ,Surgery ,Female ,business ,Advance Directives - Abstract
Physician Orders for Life-Sustaining Treatment (POLST) forms are portable medical orders documenting patient treatment preferences in an acute health decline. It is unclear how these forms are used in the management of elderly trauma patients.Patients 65 years and older presenting to a Level I trauma center were identified between 2012 and 2017. Hospital trauma registry and medical records were used to identify a preinjury POLST and its acknowledgment by providers within 24 hours of arrival. A 1:1 propensity score matched sample was used to evaluate clinical outcomes based on the presence of a POLST limiting interventions with p less than 0.05 deemed significant.There were 3,342 elderly trauma patients identified. One hundred ninety-two (6%) had a POLST identified by the institutional trauma registry dated before the injury. Do not attempt resuscitation (DNR) was listed in 154 patients (80%), and 79% desired to avoid the intensive care unit (ICU) with limited (54%) or comfort measures only (CMO, 25%). One hundred seven (76%) of admitted POLST DNR patients had a DNR code status for the majority of their admission. 59 (58%) of the limited and 29 (60%) of the comfort measures only patients were admitted to the ICU. Acknowledgment of a preinjury POLST or code status was explicitly documented in 110 cases (57%). Propensity score analysis yielded a comparison sample of 288 patients. In the matched comparison, an acknowledged POLST with limitations was associated with a shorter ICU stay (1.7 vs. 2.8 days, p = 0.008) but there was no difference in ICU admission (58% vs. 61%, p = 0.69), total length of stay (3.8 days vs. 4.8 days, p = 0.08), or in-hospital mortality (13% vs. 8%, p = 0.2).Limited provider acknowledgment of preinjury medical directives necessitates protocol development for the management of frail elderly trauma patients. When acknowledged, patients with a POLST limiting interventions had fewer ICU days without increased in-hospital mortality compared with similarly injured elderly patients.Care Management, level IV.
- Published
- 2019
46. AAST Critical Care Committee clinical consensus: ECMO, nutrition
- Author
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David, Zonies, Panna, Codner, Pauline, Park, Niels D, Martin, Matthew, Lissauer, Susan, Evans, Christine, Cocanour, and Karen, Brasel
- Abstract
The American Association for the Surgery of Trauma Critical Care Committee has developed clinical consensus guides to help with practical answers based on the best evidence available. These are focused in areas in which the levels of evidence may not be that strong and are based on a combination of expert consensus and research. Overall, quality of the research is mixed, with many studies suffering from small numbers and issues with bias. The first two of these focus on the use of extracorporeal membrane oxygenation in trauma patients and nutrition for the critically ill surgical/trauma patient.
- Published
- 2019
47. Retrospective Analysis of Long-Term Outcomes After Combat Injury
- Author
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Brett A. Freedman, Caroline Tuman, Raymond Fang, Jeffrey T. Howard, Ian J. Stewart, Mary Bollinger, Jean A. Orman, Kevin K. Chung, David Zonies, Jonathan A. Sosnov, and Benjamin D. Morrow
- Subjects
Adult ,Male ,Warfare ,medicine.medical_specialty ,Time Factors ,Poison control ,Disease ,Cohort Studies ,Coronary artery disease ,Young Adult ,Cost of Illness ,Physiology (medical) ,Internal medicine ,medicine ,Humans ,Registries ,Iraq War, 2003-2011 ,Retrospective Studies ,Veterans ,Combat Disorders ,Afghan Campaign 2001 ,business.industry ,Acute kidney injury ,Retrospective cohort study ,medicine.disease ,Surgery ,Military Personnel ,War-Related Injuries ,Injury Severity Score ,Female ,Cardiology and Cardiovascular Medicine ,business ,Kidney disease ,Cohort study - Abstract
Background— During the conflicts in Iraq and Afghanistan, 52 087 service members have been wounded in combat. The long-term sequelae of these injuries have not been carefully examined. We sought to determine the relation between markers of injury severity and the subsequent development of hypertension, coronary artery disease, diabetes mellitus, and chronic kidney disease. Methods and Results— Retrospective cohort study of critically injured US military personnel wounded in Iraq or Afghanistan from February 1, 2002 to February 1, 2011. Patients were then followed until January 18, 2013. Chronic disease outcomes were assessed by International Classification of Diseases, 9th edition codes and causes of death were confirmed by autopsy. From 6011 admissions, records were excluded because of missing data or if they were for an individual’s second admission. Patients with a disease diagnosis of interest before the injury date were also excluded, yielding a cohort of 3846 subjects for analysis. After adjustment for other factors, each 5-point increment in the injury severity score was associated with a 6%, 13%, 13%, and 15% increase in incidence rates of hypertension, coronary artery disease, diabetes mellitus, and chronic kidney disease, respectively. Acute kidney injury was associated with a 66% increase in rates of hypertension and nearly 5-fold increase in rates of chronic kidney disease. Conclusions— In Iraq and Afghanistan veterans, the severity of combat injury was associated with the subsequent development of hypertension, coronary artery disease, diabetes mellitus, and chronic kidney disease.
- Published
- 2015
48. Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countries, 1990-2013
- Author
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Meghan D. Mooney, Ken Takahashi, Andrea Stewart, Jonathan C Brown, Shireen Sindi, Amany H Refaat, Ruben Castro, Sara Sheikhbahaei, Kyle R. Heuton, Gillian M. Hansen, Chante Karimkhani, Bryan K. Phillips, Ibrahim Abubakar, Yohannes Kinfu, Victoria F Bachman, Konstantinos Stroumpoulis, Megan Coggeshall, Lucía Cuevas-Nasu, Yichong Li, Vineet K. Chadha, Andrew G. M. Bulloch, Takayoshi Ohkubo, Don C. Des Jarlais, Giancarlo Logroscino, Francis Apolinary Mhimbira, Jefferson G Fernandes, Cheng Huang, Ejaz Ahmad Khan, Fortuné Gbètoho Gankpé, Roderick J Hay, Itamar S. Santos, Zanfina Ademi, Fiona J Charlson, Norlinah Mohamed Ibrahim, Anwar Rafay, Andrew L. Thorne-Lyman, Juanita A. Haagsma, Emmanuel A. Ameh, John J. McGrath, Massimo Cirillo, Wubegzier Mekonnen, Holly Hagan, Naohiro Yonemoto, Frida Namnyak Ngalesoni, Dietrich Plass, Matias Trillini, David Phillips, Braden Te Ao, Wanqing Chen, Yun Jin Kim, David Rojas-Rueda, Christina Papachristou, Andrew E. Moran, Richard A. Gosselin, Maziar Moradi-Lakeh, Soraya Seedat, Janet L Leasher, Belinda K Lloyd, Lorenzo Monasta, Bruno F. Sunguya, Eun-Kee Park, Eduardo A. Undurraga, Mohammad A. AlMazroa, Mohammad H. Forouzanfar, Young-Ho Khang, Vasiliki Stathopoulou, Dima M. Qato, James Scott, Ileana Heredia-Pi, Luca Ronfani, Haidong Kan, Tasara T. Mazorodze, Murugesan Raju, Saeid Shahraz, Taavi Tillmann, Wang Wenzhi, Neil Pearce, Eric Y. Tenkorang, Aliya Naheed, Ferrán Catalá-López, Sudan Prasad Neupane, Emily Dansereau, Michael McKee, Derrick A Bennett, Mazeda Hossain, Paul S. F. Yip, Grant Nguyen, Norberto Perico, Miguel Angel Alegretti, Babak Eshrati, Boris Bikbov, Palwasha Anwari, Guoqing Hu, Amelia Bertozzi-Villa, Peter A. Meaney, Farshad Farzadfar, Svetlana Popova, Tara Templin, Hmwe H Kyu, Uche S. Uchendu, Kebede Deribe, Sergey Soshnikov, Nobhojit Roy, Daniel Kim, Ilana N. Ackerman, Homie Razavi, Leslie T. Cooper, Sandra Nolte, David T. Felson, John J Huang, Yang Liu, Fiorella Cavalleri, Adrian Davis, Héctor Gómez Dantés, Klara Dokova, Yuantao Hao, Catalina Medina, Austin E Schumacher, Stan Biryukov, Jane Rowley, Arindam Basu, Jose C. Adsuar, Rosana E. Norman, Yousef Khader, Rafael Alfonso-Cristancho, Sukanta Saha, Simón Barquera, Diego Gonzalez-Medina, Philip B. Mitchell, Lars Barregard, Haidong Wang, Yongmei Li, Ami R. Moore, Marie Ng, Raghib Ali, Peter T. Serina, Lijing L Yan, Ayse Abbasoglu Ozgoren, Ricky Leung, Michelle L. Bell, Tim Driscoll, Azmeraw T. Amare, Farshad Pourmalek, Tea Lallukka, Benjamin O Anderson, Raimundas Lunevicius, Corine Karema, Robert G. Weintraub, Erin C Mullany, Anders Larsson, Glen Mola, Paulo A. Lotufo, Luke Nyakarahuka, Sayed Saidul Alam, Louisa Degenhardt, Hugh R. Taylor, E. Ray Dorsey, Suzanne Polinder, Hilton Lam, Urbano Fra Paleo, David Zonies, Rahman Shiri, Marco A Avila, Alicia Elena Beatriz Lawrynowicz, Katya Anne Shackelford, Lynne Gaffikin, Konstantin Kazanjan, Mark T Mackay, Jasvinder A. Singh, Bryan L. Sykes, Sadaf G. Sepanlou, Chantal Huynh, Rakhi Dandona, Logan Sandar, Lavanya Singh, Dietrich Rothenbacher, Theo Vos, Steven E. Lipshultz, Coen H. Van Gool, Peggy P. Chiang, Mark G. Shrime, Christopher J L Murray, Scott Weichenthal, Jae-Hyun Park, Samia Alhabib, Philimon Gona, Christian Kieling, Yuichiro Yano, Ronny Westerman, Thomas Truelsen, Rajeev Gupta, Megan Bohensky, Abdullatif Husseini, Qing Lan, Luke D. Knibbs, Yousef M. Elshrek, H. Ross Anderson, Guohong Jiang, Madeline L. Moyer, Vinod K. Paul, Wim H. van Brakel, Emin Murat Tuzcu, Kara Estep, Lalit Dandona, Uchechukwu K.A. Sampson, Mohammad Tavakkoli, Ying Jiang, Joseph A Wagner, Mitsuru Mukaigawara, In-Hwan Oh, Siyi Shangguan, Noela M. Prasad, Charles D.A. Wolfe, Borja del Pozo-Cruz, Gokalp Kadri Yentur, Hilda L Harb, Elena Alvarez, Carlos A Castañeda-Orjuela, Mustafa Z. Younis, Herbert C. Duber, Erica Leigh Slepak, George A. Mensah, Knud Juel, Graeme J. Hankey, Natan M. Bornstein, Martha Híjar, Johan Ärnlöv, Mohamed Hsairi, Katherine T. Lofgren, Murray B. Stein, Renata Micha, Luigi Naldi, Margreet ten Have, Bolajoko O. Olusanya, Kyle J Foreman, Kenji Shibuya, F. Gerry R. Fowkes, Abdullah Sulieman Terkawi, Rana J. Asghar, Karen M. Tabb, Kovin Naidoo, Rogelio Pérez-Padilla, Honglei Chen, Antônio Luiz Pinho Ribeiro, Rasmus Havmoeller, Yukito Shinohara, Bongani M. Mayosi, Ernst J Kuipers, Konrad Pesudovs, Mouhanad Hammami, Lee Richardson, Rintaro Mori, Thomas D. Fleming, Pouria Heydarpour, Stephen G. Waller, Nicholas Graetz, Chanda Kulkarni, Peter Brooks, Gulfaraz Khan, Marcel Tanner, Van C. Lansingh, François Alla, Jamie Hancock, Yohannes Adama Melaku, Neeraj Bedi, Anthony D. Woolf, Tariku Jibat Beyene, Amanda W Pain, Eric L. Ding, Narayanaswamy Venketasubramanian, Semaw Ferede Abera, Devina Nand, Odgerel Chimed-Ochir, George D Thurston, Victor Aboyans, Alanur Çavlin, Jefferson Traebert, Michael R. Phillips, Yingfeng Zheng, Baffour Awuah, Carlo Irwin A. Panelo, Selen Begüm Uzun, Muhammad Imran Nisar, Samir Soneji, Veena S. Kulkarni, Mukesh Dherani, Stephen S Lim, Andre Keren, Kingsley N. Ukwaja, Sajjad Ur Rahman, Giuseppe Remuzzi, Kjetil Søreide, Blake Thomson, Samath D Dharmaratne, Christopher D. Blosser, David H. Rothstein, Amanda G. Thrift, Fabrizio Tediosi, Andrew H. Kemp, H. Dean Hosgood, Yoshihiro Kokubo, Miia Kivipelto, Amitava Banerjee, Edgar P. Simard, Reza Malekzadeh, Maggie Lind, Robert P. Dellavalle, Emerito Jose A. Faraon, Lydia S. Atkins, Tom Achoki, Aslam Pervaiz, Peter Scarborough, Hans W. Hoek, Ettore Beghi, Emilie Agardh, Abraham D. Flaxman, Dariush Mozaffarian, Juan R. Sanabria, Muluken Dessalegn, David C. Schwebel, Caitlyn Steiner, Ubai Alsharif, Richard C. 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Ray, Driscoll, Tim R, Duber, Herbert C, Ebel, Beth E, Edmond, Karen M, Elshrek, Yousef M, Ermakov, Sergey P, Erskine, Holly E, Faraon, Emerito Jose A, Fay, Derek F, Feigin, Valery L, Felson, David T, Fereshtehnejad, Seyed Mohammad, Fernandes, Jefferson G, Ferrari, Alize J, Flaxman, Abraham D, Fleming, Thomas D, Forouzanfar, Mohammad H, Fowkes, F. Gerry R, Paleo, Urbano Fra, Franklin, Richard C, Gankpé, Fortuné G, Geleijnse, Johanna M, Gessner, Bradford D, Gibney, Katherine B, González Medina, Diego, Gosselin, Richard A, Gotay, Carolyn C, Gouda, Hebe N, Gugnani, Harish C, Gutiérrez, Reyna A, Hafezi Nejad, Nima, Halasa, Yara A, Hamadeh, Randah R, Hankey, Graeme J, Hansen, Gillian M, Harb, Hilda L, Hay, Simon I, Hay, Roderick J, Heredia Pi, Ileana B, Heuton, Kyle R, Hoek, Hans W, Hoffman, Howard J, Hosgood, H. Dean, Hotez, Peter J, Hoy, Damian G, Huang, John J, Iannarone, Marissa L, Iburg, Kim M, Jacobsen, Kathryn H, Jarvis, Deborah L, Jassal, Simerjot K, Jensen, Paul N, Jonas, Jost B, Karema, Corine K, Kassebaum, Nicholas J, Kemp, Andrew H, Kengne, Andre P, Khader, Yousef S, Khalifa, Shams Eldin A, Khan, Ejaz A, Khang, Young Ho, Kinge, Jonas M, Knibbs, Luke D, Kuipers, Ernst J, Kulkarni, Veena S, Kumar, G. Anil, Kyu, Hmwe H, Lansingh, Van C, Lawrynowicz, Alicia E. B, Leasher, Janet L, Levitz, Carly E, Lim, Stephen S, Lipshultz, Steven E, Lloyd, Belinda K, Lofgren, Katherine T, Looker, Katharine J, Lortet Tieulent, Joannie, Lotufo, Paulo A, Lucas, Robyn M, Lyons, Ronan A, Macintyre, Michael F, Mackay, Mark T, Margolis, David J, Marzan, Melvin B, Masci, Joseph R, Mashal, Mohammad T, Mayosi, Bongani M, Mazorodze, Tasara T, Mcgill, Neil W, Mcgrath, John J, Meaney, Peter A, Melaku, Yohannes A, Memish, Ziad A, Mensah, George A, Mhimbira, Francis A, Miller, Ted R, Mills, Edward J, Mitchell, Philip B, Mock, Charles N, Mohammad, Karzan A, Mokdad, Ali H, Mola, Glen L. D, Montine, Thomas J, Mooney, Meghan D, Moore, Ami R, Moradi Lakeh, Maziar, Moran, Andrew E, Moturi, Wilkister N, Moyer, Madeline L, Msemburi, William T, Mueller, Ulrich O, Mullany, Erin C, Murdoch, Michele E, Murthy, Kinnari S, Naidoo, Kovin S, Narayan, K. M. Venkat, Neupane, Sudan P, Newton, Charles R, Ngalesoni, Frida N, Nisar, Muhammad I, Norheim, Ole F, Norman, Rosana E, Oh, In Hwan, Ohno, Summer L, Olusanya, Bolajoko O, Pain, Amanda W, Pandian, Jeyaraj D, Panelo, Carlo Irwin A, Park, Eun Kee, Park, Jae Hyun, Patten, Scott B, Patton, George C, Paul, Vinod K, Pavlin, Boris I, Pereira, David M, Perez Padilla, Rogelio, Perez Ruiz, Fernando, Peterson, Carrie B, Phillips, Michael R, Phillips, Bryan K, Phillips, David E, Piel, Frédéric B, Poulton, Richie G, Prasad, Noela M, Pullan, Rachel L, Qato, Dima M, Quistberg, D. Alex, Rahman, Sajjad U, Rana, Saleem M, Reddy, K. Srinath, Ribeiro, Antonio L, Roberts, D. Allen, Rojas Rueda, David, Roth, Gregory A, Rothstein, David H, Rowley, Jane T, Ruhago, George M, Saeedi, Mohammad Y, Sampson, Uchechukwu K. A, Sanabria, Juan R, Santos, Itamar S, Schneider, Ione J, Schumacher, Austin E, Schwebel, David C, Scott, James G, Sepanlou, Sadaf G, Serina, Peter T, Servan Mori, Edson E, Shackelford, Katya A, Shrime, Mark G, Sigfusdottir, Inga D, Silberberg, Donald H, Simard, Edgar P, Singh, Jasvinder A, Sposato, Luciano A, Sreeramareddy, Chandrashekhar T, Stanaway, Jeffrey D, Stein, Dan J, Stein, Murray B, Steiner, Timothy J, Stovner, Lars J, Sunguya, Bruno F, Sykes, Bryan L, Tabb, Karen M, Taylor, Hugh R, Ao, Braden J. Te, Temesgen, Awoke M, Tenkorang, Eric Y, Terkawi, Abdullah S, Thorne Lyman, Andrew L, Thrift, Amanda G, Thurston, George D, Tran, Bach X, Tuzcu, Emin M, Uchendu, Uche S, Ukwaja, Kingsley N, Undurraga, Eduardo A, Uzun, Selen B, Van Brakel, Wim H, van Gool, Coen H, Vasankari, Tommi J, Violante, Francesco S, Vlassov, Vasiliy V, Wagner, Gregory R, Waller, Stephen G, Warouw, Tati S, Weintraub, Robert G, Whiteford, Harvey A, Wilkinson, James D, Williams, Thomas N, Wolfe, Charles D, Wolock, Timothy M, Woolf, Anthony D, Yan, Lijing L, Yentür, Gökalp K, Yoon, Seok Jun, Younis, Mustafa Z, Zaki, Maysaa E, Salomon, Joshua A, Lopez, Alan D, Computational Science and Engineering Department [Daresbury] ( STFC ), Science & Technologie Facilities Council, Neuroépidémiologie Tropicale ( NET ), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Institut Génomique, Environnement, Immunité, Santé, Thérapeutique ( GEIST ), Université de Limoges ( UNILIM ) -Université de Limoges ( UNILIM ), Service de Chirurgie Thoracique et Vasculaire - Médecine vasculaire [CHU Limoges], CHU Limoges, Weill Cornell Medical College - Qatar, Qatar Foundation - Education City, Doha, Maladies chroniques, santé perçue, et processus d'adaptation ( APEMAC ), Université Paris Descartes - Paris 5 ( UPD5 ) -Université de Lorraine ( UL ), Centre d'Investigation Clinique - Epidemiologie Clinique/essais Cliniques Nancy, Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Karolinska Institute, karolinska institute, Centro de Estudios Avanzados en Zonas Aridas ( CEAZA ), Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Wisconsin Division of Public Health, Regional Genetic Service, St Mary's Hospital, Manchester, Laboratoire d'Ingénierie des Matériaux ( LIM ), Centre National de la Recherche Scientifique ( CNRS ), Computer Science Department [Bristol], University of Bristol [Bristol], Lawrence Berkeley National Laboratory [Berkeley] ( LBNL ), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) ( SRI-B ), Multimedia Research Center ( MRC ), University of Alberta [Edmonton], Division of Biostatistics ( Biostat - MINNEAPOLIS ), University of Minnesota [Minneapolis], Laboratory of Neurologic Diseases, Mario Negri Institute, Milan, University of Southampton [Southampton], Imperial College London, Neurology Department, Ichilov Medical Center, Department of Public Health and Primary Care, Cambridge University, Interactions, transferts, ruptures artistiques et culturels - EA 6301 ( InTRu ), Université de Tours, Institut Jacques Monod ( IJM ), Université Paris Diderot - Paris 7 ( UPD7 ) -Centre National de la Recherche Scientifique ( CNRS ), Institute of Parasitology, STAR laboratory, Stanford University [Stanford], Unité de recherche Virologie et Immunologie Moléculaires ( VIM ), Institut National de la Recherche Agronomique ( INRA ), Tennent Institute of Ophthalmology, National University of Singapore ( NUS ), Multidisciplinary Nanotechnology Centre, Swansea University, Department of Computer Sciences [Scheffield], University of Sheffield [Sheffield], Cyprus International Institute for the Environment and Public Health, Harvard School of Public Health, Glasgow Centre for Physical Organic Chemistry, University of Glasgow, King‘s College London, Université Panthéon-Sorbonne - UFR Science Politique ( UP1 UFR11 ), Université Panthéon-Sorbonne ( UP1 ), National Diagnostics Centre ( NDC ), National University of Ireland [Galway] ( NUI Galway ), Arthritis Research UK Epidemiology Unit ( MANCHESTER - Arthritis Research ), University of Manchester [Manchester], CEGOT - Porto, Universidade do Porto [Porto], Advanced Laboratories on Embedded Systems [Roma] ( ALES ), Department of Biology [Miami], University of Miami [Coral Gables], Division of Human Nutrition, Wageningen University and Research Centre [Wageningen] ( WUR ), Spatial Ecology and Epidemiology Group, University of Oxford [Oxford], Department of Civil Engineering [Hamirpur], National Institute of Technology [Hamirpur], GEMMA — Environmental Engineering and Microbiology Research Group, Department of Hydraulic, Maritime and Environmental Engineering, Universitat Politècnica de Catalunya [Barcelona] ( UPC ), Institut National de Recherche et d'Analyse Physico-Chimique ( INRAP ), Institut National de Recherche et d'Analyse Physico-chimique (INRAP-Tunisie), University of Connecticut ( UCONN ), Norwegian Institute for Air Research ( NILU ), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) ( FEMTO-ST ), Université de Franche-Comté ( UFC ) -Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Supérieure de Mécanique et des Microtechniques ( ENSMM ) -Université de Technologie de Belfort-Montbeliard ( UTBM ), Tehran University, Friedrich-Alexander Universität Erlangen-Nürnberg ( FAU ), Secretariat of the Pacific Community, Public Health Division, Sociétés, Acteurs, Gouvernement en Europe ( SAGE ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), School of Physics and Astronomy, Washington State University ( WSU ), Laboratoire de Physique de l'ENS Lyon ( Phys-ENS ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Institut de recherche en informatique de Toulouse ( IRIT ), Institut National Polytechnique [Toulouse] ( INP ) -Université Toulouse 1 Capitole ( UT1 ) -Université Toulouse - Jean Jaurès ( UT2J ) -Université Toulouse III - Paul Sabatier ( UPS ), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique ( CNRS ), School of Computer Science - China University of Geosciences (China University of Geosciences (East Area)), Université Catholique de Louvain ( UCL ), Div Cyclotron & Radiopharmaceut Sci ( DRDO, INMAS ), Univ New Delhi, University of St Andrews [Scotland], University of Cape Town, Department of Neuroscience, Karolinska Institutet [Stockholm], Institut de Physique Nucléaire d'Orsay ( IPNO ), Université Paris-Sud - Paris 11 ( UP11 ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Department of Computer Science and Engineering [Daejeon] (Chungnam National University), Lawrence University, Gastroenterology & Hepatology, Tata Research Development and Design Center ( TRDDC ), TCS Innovation Labs, Laboratoire MOLTECH-Anjou [Angers] ( MOLTECH ANJOU ), Université d'Angers ( UA ) -Centre National de la Recherche Scientifique ( CNRS ), University of Helsinki [Helsinki], Google Inc [Mountain View], Research at Google, Swedish Defense Research Agency ( FOI ), Centre de Recherche en Information Biomédicale sino-français ( CRIBS ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale ( INSERM ), Laboratory of Image Science and Technology [Nanjing] ( LIST ), Southeast University [Jiangsu]-School of Computer Science and Engineering, Laboratoire de glaciologie et géophysique de l'environnement ( LGGE ), Observatoire des Sciences de l'Univers de Grenoble ( OSUG ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ) -Centre National de la Recherche Scientifique ( CNRS ), School of Business and Informatics, University of Boras, Department of Mechanical and Automation Engineering ( CAD Laboratory ), The Chinese University of Hong Kong [Hong Kong], Università degli studi di Bari, Heuristique et Diagnostic des Systèmes Complexes [Compiègne] ( Heudiasyc ), Université de Technologie de Compiègne ( UTC ) -Centre National de la Recherche Scientifique ( CNRS ), Department of plant pathology and microbiology - centre for sustainable pest and disease management, Rothamsted Research, RGU, Department of Rheumatology and Connective Tissue Diseases, Medical University of Lublin, Barts and The London School of Medicine and Dentistry, Queen Mary University of London ( QMUL ), Centre d'économie de la Sorbonne ( CES ), Université Panthéon-Sorbonne ( UP1 ) -Centre National de la Recherche Scientifique ( CNRS ), Paris School of Economics ( PSE ), Istituto Dalle Molle di Studi sull'Intelligenza Artificiale ( IDSIA ), Università della Svizzera italiana ( USI ) -Scuola universitaria professionale della Svizzera italiana [Manno] ( SUPSI ), Anaesthetics, Southampton University Hospital, Department of Mathematics, University of Iowa [Iowa City], College of Medicine, Alfaisal University, Saudi Ministry of Health, Institut national des recherches agricoles du Bénin, Centre de Recherches agricoles du Sud, Departments of Epidemiology and Nutrition, Unit of Human Nutrition, Agricultural University of Athens, Department of Animal Science, PennState University [Pennsylvania] ( PSU ), University of Virginia, University of Virginia [Charlottesville], Epidemiology and Biostatistics Unit, Institute for Maternal and Child Health - IRCCS ‘‘Burlo Garofolo', Jet Propulsion Laboratory ( JPL ), NASA-California Institute of Technology ( CALTECH ), Division of Cardiovascular Medicine and Channing Division of Network Medicine, Brigham and Women's Hospital [Boston], Division of Gastroenterology and Hepatology, Department of Immunology, Mayo Clinic, Department of Chemistry, Scientific Computing Research Unit, Department of dermatology, Milano University-Azienda Ospedaleria Ospedali Riuniti di Bergamo, Department of epidemiology and Public Health, Faculty of Medicine, Hong Kong Baptist University ( HKBU ), Département Optique ( OPT ), Université européenne de Bretagne ( UEB ) -Télécom Bretagne-Institut Mines-Télécom [Paris], Department of Neurology Lunds University Hospital Lund, Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux ( SAMOVAR ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ) -Centre National de la Recherche Scientifique ( CNRS ), Département Réseaux et Services Multimédia Mobiles ( RS2M ), Institut Mines-Télécom [Paris]-Télécom SudParis ( TSP ), Electrical Engineering and Computer Science Department - Case Western Reserve University, Case Western Reserve University [Cleveland], Institut Lumière Matière [Villeurbanne] ( ILM ), Université Claude Bernard Lyon 1 ( UCBL ), World Health Organization, Nordic School of Public Health, The James Hutton Institute, Sero, Sero consulting, Evolutionary Ecology of Infectious Disease Group, Department of Zoology, Horia Hulubei National Institute for Physics and Nuclear Engineering, Dunedin School of Medicine, University of Otago, Department of Physics, Clarendon Laboratory, Center for TeleInFrastruktur ( CTIF ), Aalborg University [Denmark] ( AAU ), Physikalisches Institut [Freiburg], Albert-Ludwigs-Universität Freiburg, Savoirs, Textes, Langage (STL) - UMR 8163 ( STL ), Université de Lille-Centre National de la Recherche Scientifique ( CNRS ), Dept.of Computer Science, Indian Institute of Technology Madras ( IIT Madras ), Istituto Mario Negri Bergamo, Centro Ricerche e Trapianti Villa Camozzi, Universidade Estadual Paulista Júlio de Mesquita ( UNESP ), Department of Public Health, Erasmus MC-University Medical Center Rotterdam, Université Grenoble Alpes - UFR Médecine ( UGA UFRM ), Université Grenoble Alpes ( UGA ), Clinical Epidemiology and Aging Research, German Cancer Research Center, Institut Cochin ( UM3 (UMR 8104 / U1016) ), Université Paris Descartes - Paris 5 ( UPD5 ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Symantec, European Microsoft Innovation Center ( EMIC ), Microsoft Corporation [Redmond, Wash.], Laboratoire de Mécanique, Physique et Géosciences ( LMPG ), Université Le Havre Normandie ( ULH ), Normandie Université ( NU ) -Normandie Université ( NU ), Novartis institute for tropical diseases, Institut de Génétique et de Biologie Moléculaire et Cellulaire ( IGBMC ), Université de Strasbourg ( UNISTRA ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Centre National de la Recherche Scientifique ( CNRS ), Departments of Anatomy and Cell Biology, Wayne State University School of Medicine, Departments of Ophthalmology, Departments of Applied Physics [New Haven], Yale University [New Haven], Center for Mathematical Modeling ( CMM ), Universidad de Santiago de Chile [Santiago] ( USACH ), Laboratory for Atmospheric and Space Physics [Boulder] ( LASP ), University of Colorado Boulder [Boulder], University of Occupational and Environmental Health [Kitakyushu] ( UEOH ), Department of Computer Science and Engineering [New Delhi], Indian Institute of Technology Delhi ( IIT Delhi ), Institut de Recherche sur les Phénomènes Hors Equilibre ( IRPHE ), Aix Marseille Université ( AMU ) -Ecole Centrale de Marseille ( ECM ) -Centre National de la Recherche Scientifique ( CNRS ), GlaxoSmithKline, Imperial College London-Clinical Imaging Center, Department of Obstetrics, Gynecology and Reproductive Sciences, Yale University School of Medicine, Yale School of Medicine-Yale School of Medicine-Yale Stem Cell Center, Maclean Building, Benson Lane, Crowmarsh Gifford, Centre for Ecology and Hydrology, Nanoscience Institute ( NEST ), Dipartimento di Fisica, Università di Pisa, Aristotle University of Thessaloniki, Laboratory Of Immune Cell Biology ( LICB ), National Institutes of Health ( NIH ), Institute of Human Genetics, Bonn Universität [Bonn], Occupational Health Unit, Bologna University Hospital-Sant'Orsola-Malpighi Polyclinic, Royal Institute of Technology [Stockholm] ( KTH ), Institut für Informatik [München/Munich] ( LMU ), Ludwig-Maximilians-Universität München, NICTA [Eveleigh], National ICT Australia [Sydney] ( NICTA ), Manchester Academic Health Sciences Centre, Institut d'Histoire et de Philosophie des Sciences et des Techniques ( IHPST ), Université Panthéon-Sorbonne ( UP1 ) -Département d'Etudes Cognitives - ENS Paris ( DEC ), École normale supérieure - Paris ( ENS Paris ) -École normale supérieure - Paris ( ENS Paris ) -Centre National de la Recherche Scientifique ( CNRS ), Ghent University [Belgium] ( UGENT ), German Research Centre for Geosciences - Helmholtz-Centre Potsdam ( GFZ ), Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique ( LHEEA ), École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche en Génie Civil et Mécanique ( GeM ), Université de Nantes ( UN ) -École Centrale de Nantes ( ECN ) -Centre National de la Recherche Scientifique ( CNRS ), Neurorestoration Group, King‘s College London-Wolfson Centre for Age-related Diseases, Department of Computer Science [KAIST] ( CS ), Korea Advanced Institute of Science and Technology ( KAIST ), Laboratoire de l'Accélérateur Linéaire ( LAL ), Natl Engn Res Ctr Vegetables, Key Lab Biol & Genet Improvement Hort Crops N Chi, Beijing Acad Agr & Forestry Sci, University Hospital Puerta de Hierro, Madrid, Computational Science and Engineering Department [Daresbury] (STFC), Neuroépidémiologie Tropicale (NET), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Weill Cornell Medicine [Qatar], Maladies chroniques, santé perçue, et processus d'adaptation (APEMAC), Université Paris Descartes - Paris 5 (UPD5)-Université de Lorraine (UL), Cancéropôle du Grand Est-Institut National de la Santé et de la Recherche Médicale (INSERM), Centro de Estudios Avanzados en Zonas Aridas (CEAZA), Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratoire d'Ingénierie des Matériaux (LIM), Centre National de la Recherche Scientifique (CNRS), Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Samsung Research &Development Institute India - Bangalore (Groupe Samsung) (SRI-B), Multimedia Research Center (MRC), University of Alberta, Division of Biostatistics (Biostat - MINNEAPOLIS), University of Minnesota [Twin Cities] (UMN), University of Minnesota System-University of Minnesota System, University of Southampton, University of Cambridge [UK] (CAM), Interactions, transferts, ruptures artistiques et culturels - EA 6301 (InTRu), Université de Tours (UT), Institut Jacques Monod (IJM (UMR_7592)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Stanford University, Unité de recherche Virologie et Immunologie Moléculaires (VIM (UR 0892)), Institut National de la Recherche Agronomique (INRA), National University of Singapore (NUS), Université Paris 1 Panthéon-Sorbonne - UFR Science Politique (UP1 UFR11), Université Paris 1 Panthéon-Sorbonne (UP1), National Diagnostics Centre (NDC), National University of Ireland [Galway] (NUI Galway), Arthritis Research UK Epidemiology Unit (MANCHESTER - Arthritis Research), Universidade do Porto = University of Porto, Advanced Laboratories on Embedded Systems [Roma] (ALES), Wageningen University and Research [Wageningen] (WUR), University of Oxford, Universitat Politècnica de Catalunya [Barcelona] (UPC), Institut National de Recherche et d'Analyse Physico-Chimique (INRAP), University of Connecticut (UCONN), Norwegian Institute for Air Research (NILU), Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), University of Tehran, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Sociétés, Acteurs, Gouvernement en Europe (SAGE), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), The George Washington University (GW), Washington State University (WSU), Laboratoire de Physique de l'ENS Lyon (Phys-ENS), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT), Université Catholique de Louvain = Catholic University of Louvain (UCL), Div Cyclotron & Radiopharmaceut Sci (DRDO, INMAS), School of Physics and Astronomy [St Andrews], Tata Research Development and Design Center (TRDDC), MOLTECH-Anjou, Université d'Angers (UA)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Swedish Defense Research Agency (FOI), Centre de Recherche en Information Biomédicale sino-français (CRIBS), Université de Rennes (UR)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratory of Image Science and Technology [Nanjing] (LIST), Laboratoire de glaciologie et géophysique de l'environnement (LGGE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Mechanical and Automation Engineering (CAD Laboratory), Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Heuristique et Diagnostic des Systèmes Complexes [Compiègne] (Heudiasyc), Université de Technologie de Compiègne (UTC)-Centre National de la Recherche Scientifique (CNRS), Biotechnology and Biological Sciences Research Council (BBSRC)-Biotechnology and Biological Sciences Research Council (BBSRC), Queen Mary University of London (QMUL), Centre d'économie de la Sorbonne (CES), Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Paris School of Economics (PSE), Université Paris 1 Panthéon-Sorbonne (UP1)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École des hautes études en sciences sociales (EHESS)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Università della Svizzera italiana = University of Italian Switzerland (USI)-Scuola universitaria professionale della Svizzera italiana = University of Applied Sciences and Arts of Southern Switzerland [Manno] (SUPSI), Pennsylvania State University (Penn State), Penn State System-Penn State System, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Hong Kong Baptist University (HKBU), Département Optique (OPT), Université européenne de Bretagne - European University of Brittany (UEB)-Télécom Bretagne-Institut Mines-Télécom [Paris] (IMT), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Département Réseaux et Services Multimédia Mobiles (TSP - RS2M), University of Melbourne, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), University of Otago [Dunedin, Nouvelle-Zélande], Center for TeleInFrastruktur (CTIF), Aalborg University [Denmark] (AAU), Savoirs, Textes, Langage (STL) - UMR 8163 (STL), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Indian Institute of Technology Madras (IIT Madras), Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University (UNESP), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Université Grenoble Alpes - UFR Médecine (UGA UFRM), Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), European Microsoft Innovation Center (EMIC), Laboratoire de Mécanique, Physique et Géosciences (LMPG), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU), Novartis Institute for Tropical Diseases (NITD), Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Center for Mathematical Modeling (CMM), Universidad de Chile = University of Chile [Santiago] (UCHILE), Laboratory for Atmospheric and Space Physics [Boulder] (LASP), University of Colorado [Boulder], University of Occupational and Environmental Health [Kitakyushu] (UEOH), Indian Institute of Technology Delhi (IIT Delhi), Institut de Recherche sur les Phénomènes Hors Equilibre (IRPHE), Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), Yale University [New Haven]-Yale School of Medicine [New Haven, Connecticut] (YSM), Nanoscience Institute (NEST), University of Pisa - Università di Pisa, Laboratory Of Immune Cell Biology (LICB), National Institutes of Health [Bethesda] (NIH), Rheinische Friedrich-Wilhelms-Universität Bonn, Royal Institute of Technology [Stockholm] (KTH ), Institut für Informatik [München/Munich] (LMU), Ludwig-Maximilians-Universität München (LMU), National ICT Australia [Sydney] (NICTA), Institut d'Histoire et de Philosophie des Sciences et des Techniques (IHPST), Université Paris 1 Panthéon-Sorbonne (UP1)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University (UGENT), German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Laboratoire de recherche en Hydrodynamique, Énergétique et Environnement Atmosphérique (LHEEA), École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche en Génie Civil et Mécanique (GeM), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-École Centrale de Nantes (ECN)-Centre National de la Recherche Scientifique (CNRS), Department of Computer Science [KAIST] (CS), Korea Advanced Institute of Science and Technology (KAIST), Kardiyoloji, Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM), University of Minnesota [Twin Cities], Centre National de la Recherche Scientifique (CNRS)-Université Paris Diderot - Paris 7 (UPD7), Unité de recherche Virologie et Immunologie Moléculaires (VIM), Université Panthéon-Sorbonne - UFR Science Politique (UP1 UFR11), Université Panthéon-Sorbonne (UP1), Wageningen University and Research Centre [Wageningen] (WUR), Institut National de Recherche et d'Analyse Physico-chimique (Ariana, Tunisie) (INRAP), Université de Franche-Comté (UFC)-Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Technologie de Belfort-Montbeliard (UTBM), George Washington University (GW), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université Toulouse 1 Capitole (UT1)-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Université Catholique de Louvain (UCL), MOLTECH-ANJOU (MOLTECH-ANJOU), Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), University of Helsinki, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Southeast University [Jiangsu]-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS), Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS), Università della Svizzera italiana (USI)-Scuola universitaria professionale della Svizzera italiana [Manno] (SUPSI), California Institute of Technology (CALTECH)-NASA, Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Centre National de la Recherche Scientifique (CNRS), Département Réseaux et Services Multimédia Mobiles (RS2M), Universidade Estadual Paulista Júlio de Mesquita Filho [São José do Rio Preto] (UNESP), Université Grenoble Alpes (UGA), Universidad de Santiago de Chile [Santiago] (USACH), Yale University [New Haven]-Yale University School of Medicine, Université Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-Département d'Etudes Cognitives - ENS Paris (DEC), École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), Ghent University [Belgium] (UGENT), Université de Nantes - Faculté des Sciences et des Techniques, Grelier, Elisabeth, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Toulouse Mind & Brain Institut (TMBI), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Universidade do Porto, Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Lyon (ENS Lyon)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Université Toulouse 1 Capitole (UT1), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Grenoble (OSUG), Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Università degli studi di Bari Aldo Moro (UNIBA), École des Ponts ParisTech (ENPC)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris 1 Panthéon-Sorbonne (UP1)-Centre National de la Recherche Scientifique (CNRS)-École des hautes études en sciences sociales (EHESS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Università della Svizzera italiana = University of Italian Switzerland (USI)-Scuola universitaria professionale della Svizzera italiana [Manno] (SUPSI), Institut Mines-Télécom [Paris] (IMT)-Télécom Bretagne-Université européenne de Bretagne - European University of Brittany (UEB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Universiteit Gent = Ghent University [Belgium] (UGENT), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-CHU Limoges-Institut Génomique, Environnement, Immunité, Santé, Thérapeutique (GEIST), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Belfort-Montbeliard (UTBM), Institut de Chimie du CNRS (INC)-Université d'Angers (UA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Nantes (ECN), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Wolfson Centre for Age-related Diseases-King‘s College London, Cell biology, Public Health, Epidemiology, Health Technology Assessment (HTA), Erasmus MC other, Pathology, and Cardiothoracic Surgery
- Subjects
Gerontology ,Male ,CHANGING RELATION ,Nutrition and Disease ,MESH : Life Expectancy ,MESH : Aged ,ECONOMIC-DEVELOPMENT ,Poison control ,MESH: Global Health ,Global Health ,Socioeconomic Factor ,Communicable Disease ,MESH : Chronic Disease ,Health Transition ,Voeding en Ziekte ,Quality-Adjusted Life Year ,SELF-RATED HEALTH ,MESH : Socioeconomic Factors ,Medicine ,MESH : Female ,MESH: Mortality, Premature ,2. Zero hunger ,MESH: Aged ,education.field_of_study ,MESH: Middle Aged ,Mortality rate ,Medicine (all) ,GBD2013 diseases ,[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologie ,General Medicine ,Middle Aged ,3. Good health ,MESH : Wounds and Injuries ,Epidemiological transition ,MESH: Quality-Adjusted Life Years ,MESH: Communicable Diseases ,NONCOMMUNICABLE DISEASES ,Female ,Quality-Adjusted Life Years ,MESH: Life Expectancy ,MESH: Health Transition ,Human ,MESH: Socioeconomic Factors ,ACUTE MYOCARDIAL-INFARCTION ,MESH : Male ,MORTALITY TRENDS ,Population ,MESH : Health Transition ,Communicable Diseases ,Article ,Life Expectancy ,EUROPEAN-UNION ,SDG 3 - Good Health and Well-being ,General & Internal Medicine ,SYSTEMATIC ANALYSIS ,Disability-adjusted life year ,Humans ,Life Science ,MESH : Middle Aged ,Mortality ,education ,Premature ,MESH : Mortality, Premature ,VLAG ,Aged ,MESH: Humans ,business.industry ,Mortality, Premature ,MESH: Chronic Disease ,MESH : Communicable Diseases ,Wounds and Injurie ,MESH : Humans ,MESH : Quality-Adjusted Life Years ,Non-communicable disease ,Chronic Disease ,Socioeconomic Factors ,Wounds and Injuries ,medicine.disease ,MESH: Male ,LOW SOCIOECONOMIC-STATUS ,Years of potential life lost ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,MESH: Wounds and Injuries ,Life expectancy ,RISK-FACTORS ,MESH : Global Health ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,business ,MESH: Female ,Demography - Abstract
Summary Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. Methods We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. Findings Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6–6·6), from 65·3 years (65·0–65·6) in 1990 to 71·5 years (71·0–71·9) in 2013, HALE at birth rose by 5·4 years (4·9–5·8), from 56·9 years (54·5–59·1) to 62·3 years (59·7–64·8), total DALYs fell by 3·6% (0·3–7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6–29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non–communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. Interpretation Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition—in which increasing sociodemographic status brings structured change in disease burden—is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. Funding Bill & Melinda Gates Foundation. BACKGROUND: The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic development. METHODS: We used the published GBD 2013 data for age-specific mortality, years of life lost due to premature mortality (YLLs), and years lived with disability (YLDs) to calculate DALYs and HALE for 1990, 1995, 2000, 2005, 2010, and 2013 for 188 countries. We calculated HALE using the Sullivan method; 95% uncertainty intervals (UIs) represent uncertainty in age-specific death rates and YLDs per person for each country, age, sex, and year. We estimated DALYs for 306 causes for each country as the sum of YLLs and YLDs; 95% UIs represent uncertainty in YLL and YLD rates. We quantified patterns of the epidemiological transition with a composite indicator of sociodemographic status, which we constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population. We applied hierarchical regression to DALY rates by cause across countries to decompose variance related to the sociodemographic status variable, country, and time. FINDINGS: Worldwide, from 1990 to 2013, life expectancy at birth rose by 6·2 years (95% UI 5·6-6·6), from 65·3 years (65·0-65·6) in 1990 to 71·5 years (71·0-71·9) in 2013, HALE at birth rose by 5·4 years (4·9-5·8), from 56·9 years (54·5-59·1) to 62·3 years (59·7-64·8), total DALYs fell by 3·6% (0·3-7·4), and age-standardised DALY rates per 100 000 people fell by 26·7% (24·6-29·1). For communicable, maternal, neonatal, and nutritional disorders, global DALY numbers, crude rates, and age-standardised rates have all declined between 1990 and 2013, whereas for non-communicable diseases, global DALYs have been increasing, DALY rates have remained nearly constant, and age-standardised DALY rates declined during the same period. From 2005 to 2013, the number of DALYs increased for most specific non-communicable diseases, including cardiovascular diseases and neoplasms, in addition to dengue, food-borne trematodes, and leishmaniasis; DALYs decreased for nearly all other causes. By 2013, the five leading causes of DALYs were ischaemic heart disease, lower respiratory infections, cerebrovascular disease, low back and neck pain, and road injuries. Sociodemographic status explained more than 50% of the variance between countries and over time for diarrhoea, lower respiratory infections, and other common infectious diseases; maternal disorders; neonatal disorders; nutritional deficiencies; other communicable, maternal, neonatal, and nutritional diseases; musculoskeletal disorders; and other non-communicable diseases. However, sociodemographic status explained less than 10% of the variance in DALY rates for cardiovascular diseases; chronic respiratory diseases; cirrhosis; diabetes, urogenital, blood, and endocrine diseases; unintentional injuries; and self-harm and interpersonal violence. Predictably, increased sociodemographic status was associated with a shift in burden from YLLs to YLDs, driven by declines in YLLs and increases in YLDs from musculoskeletal disorders, neurological disorders, and mental and substance use disorders. In most country-specific estimates, the increase in life expectancy was greater than that in HALE. Leading causes of DALYs are highly variable across countries. INTERPRETATION: Global health is improving. Population growth and ageing have driven up numbers of DALYs, but crude rates have remained relatively constant, showing that progress in health does not mean fewer demands on health systems. The notion of an epidemiological transition-in which increasing sociodemographic status brings structured change in disease burden-is useful, but there is tremendous variation in burden of disease that is not associated with sociodemographic status. This further underscores the need for country-specific assessments of DALYs and HALE to appropriately inform health policy decisions and attendant actions. FUNDING: Bill & Melinda Gates Foundation.
- Published
- 2015
49. Primary Palliative Care in the Trauma Intensive Care Unit: Are Surgeons Getting Better? (GP770)
- Author
-
Karen J. Brasel, Andrea K. Nagengast, Shannon Howard, Timothy R. Siegel, and David Zonies
- Subjects
Anesthesiology and Pain Medicine ,Palliative care ,business.industry ,Medicine ,Neurology (clinical) ,Medical emergency ,Trauma intensive care unit ,business ,medicine.disease ,General Nursing - Published
- 2020
50. Fellowship training in extracorporeal life support: Characterization and educational needs assessment
- Author
-
Jenelle Badulak, Eileen M. Bulger, Joseph Cuschieri, David Zonies, Mackenzie R. Cook, Başak Çoruh, and Laszlo N. Kiraly
- Subjects
Critical Care ,Critical Care and Intensive Care Medicine ,Extracorporeal ,Likert scale ,03 medical and health sciences ,0302 clinical medicine ,Extracorporeal Membrane Oxygenation ,Surveys and Questionnaires ,Medicine ,Humans ,Anesthesia ,Computer Simulation ,030212 general & internal medicine ,Fellowships and Scholarships ,Fellowship training ,Curriculum ,Response rate (survey) ,Medical education ,business.industry ,030208 emergency & critical care medicine ,Patient volume ,Education, Medical, Graduate ,Life support ,Needs assessment ,Clinical Competence ,business ,Needs Assessment - Abstract
Purpose Adult Extracorporeal Life Support (ECLS) use is rapidly increasing. The structure of fellowship ECLS education is unknown. We sought to define current ECLS education and identify curricular needs. Materials and methods An anonymous survey with Likert, binary and free response questions was sent to Critical Care Program Directors (CCPDs). Results A total of 103 CCPDs responded, a response rate of 31. ECLS training was provided by 64% (66/103) of fellowships. Importantly, 50% (52/103) of CCPDs agreed or strongly agreed that fellows should be competent in ECLS and 70% (72/103) agreed or strongly agreed that ECLS will be an important part of critical care in the next 10 years. Only 28% (29/103) and 37% (38/103) of CCPDs agreed or strongly agreed their fellows could independently manage veno-arterial or veno-venous ECLS, respectively. Formal ECLS education was 5 h or less in 85% (88/103) of programs. Desired curricular improvements were: simulation 50% (51/103), patient volume 47% (48/103), and didactics 44% (45/103). Conclusions CCPDs identified ECLS as a critical care skill, but believe that a minority of fellows are prepared for independent practice. Simulation, formal didactics and clinical volume are key needs. These data will guide the development of ECLS curriculum.
- Published
- 2018
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