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1. An atlas of healthy and injured cell states and niches in the human kidney.

Author

Lake, Blue, Menon, Rajasree, Winfree, Seth, Hu, Qiwen, Ferreira, Ricardo, Kalhor, Kian, Barwinska, Daria, Otto, Edgar, Ferkowicz, Michael, Diep, Dinh, Plongthongkum, Nongluk, Knoten, Amanda, Urata, Sarah, Mariani, Laura, Naik, Abhijit, Eddy, Sean, Zhang, Bo, Wu, Yan, Salamon, Diane, Williams, James, Wang, Xin, Balderrama, Karol, Hoover, Paul, Murray, Evan, Marshall, Jamie, Noel, Teia, Vijayan, Anitha, Hartman, Austin, Chen, Fei, Waikar, Sushrut, Rosas, Sylvia, Wilson, Francis, Palevsky, Paul, Kiryluk, Krzysztof, Sedor, John, Toto, Robert, Parikh, Chirag, Kim, Eric, Satija, Rahul, Greka, Anna, Macosko, Evan, Kharchenko, Peter, Gaut, Joseph, Hodgin, Jeffrey, Eadon, Michael, Dagher, Pierre, El-Achkar, Tarek, Kretzler, Matthias, Jain, Sanjay, and Zhang, Kun

Subjects
Humans, Cell Nucleus, Gene Expression Profiling, Kidney, Kidney Diseases, Transcriptome, Single-Cell Analysis, Case-Control Studies, Imaging, Three-Dimensional
Abstract

Understanding kidney disease relies on defining the complexity of cell types and states, their associated molecular profiles and interactions within tissue neighbourhoods1. Here we applied multiple single-cell and single-nucleus assays (>400,000 nuclei or cells) and spatial imaging technologies to a broad spectrum of healthy reference kidneys (45 donors) and diseased kidneys (48 patients). This has provided a high-resolution cellular atlas of 51 main cell types, which include rare and previously undescribed cell populations. The multi-omic approach provides detailed transcriptomic profiles, regulatory factors and spatial localizations spanning the entire kidney. We also define 28 cellular states across nephron segments and interstitium that were altered in kidney injury, encompassing cycling, adaptive (successful or maladaptive repair), transitioning and degenerative states. Molecular signatures permitted the localization of these states within injury neighbourhoods using spatial transcriptomics, while large-scale 3D imaging analysis (around 1.2 million neighbourhoods) provided corresponding linkages to active immune responses. These analyses defined biological pathways that are relevant to injury time-course and niches, including signatures underlying epithelial repair that predicted maladaptive states associated with a decline in kidney function. This integrated multimodal spatial cell atlas of healthy and diseased human kidneys represents a comprehensive benchmark of cellular states, neighbourhoods, outcome-associated signatures and publicly available interactive visualizations.

Published
2023

3. Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project

Author

Lake, Blue, Zhang, Kun, Lecker, Stewart, Morales, Alexander, Bogen, Steve, Amodu, Afolarin A., Beck, Laurence, Henderson, Joel, Ilori, Titlayo, Maikhor, Shana, Onul, Ingrid, Schmidt, Insa, Verma, Ashish, Waikar, Sushrut, Yadati, Pranav, Yu, Guanghao, Colona, Mia R., McMahon, Gearoid, Hacohen, Nir, Greka, Anna, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Bush, William, Chen, Yijiang, Crawford, Dana, Madabhushi, Anant, Viswanathan, Vidya S., Bush, Lakeshia, Cooperman, Leslie, Gadegbeku, Crystal, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’Malley, Charles, O’Toole, John, Palmer, Ellen, Poggio, Emilio, Spates-Harden, Kassandra, Sedor, John, Sendrey, Dianna, Taliercio, Jonathan, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Berroue, Cecilia, Bomback, Andrew, Canetta, Pietro A., D’Agati, Vivette, Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Sabatello, Maya, Shang, Ning, de Pinho Gonçalves, Joana, Lardenoije, Roy, Migas, Lukasz, Van de Plas, Raf, Rennke, Helmut, Azeloglu, Evren, Campbell, Kirk, Coca, Steven, He, Cijang, He, John, Iyengar, Srinivas Ravi, Lefferts, Seanee, Nadkarni, Girish, Patel, Marissa, Tokita, Joji, Ward, Stephen, Xiong, Yuguang, Verdoes, Abraham, Sabo, Angela, Barwinska, Daria, Gisch, Debora Lidia, Williams, James, Kelly, Katherine, Dunn, Kenneth, Asghari, Mahla, Eadon, Michael, Ferkowicz, Michael, Dagher, Pierre, Ferreira, Ricardo Melo, Winfree, Seth, Bledsoe, Sharon, Wofford, Stephanie, El-Achkar, Tarek, Sutton, Timothy, Bowen, William, Cheng, Ying-Hua, Slade, Austen, Record, Elizabeth, Cheng, Yinghua, Borner, Katy, Herr, Bruce, Jain, Yashvardhan, Quardokus, Ellen, Atta, Mohamed, Bernard, Lauren, Menez, Steven, Parikh, Chirag, Corona Villalobos, Celia Pamela, Wang, Ashley, Wen, Yumeng, Xu, Alan, Chen, Sarah, Donohoe, Isabel, Johansen, Camille, Rosas, Sylvia, Sun, Jennifer, Ardayfio, Joseph, Bebiak, Jack, Campbell, Taneisha, Fox, Monica, Knight, Richard, Koewler, Robert, Pinkeney, Roy, Saul, John, Shpigel, Anna, Prasad, Pottumarthi, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher, Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George, Mao, Weiguang, Sealfon, Rachel, Troyanskaya, Olga, Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Anjani, Kavya, Laszik, Zoltan G., Mukatash, Tariq, Nolan, Garry, Beyda, David, Bracamonte, Erika, Brosius, Frank, Campos, Baltazar, Marquez, Nicole, Mendoza, Katherine, Scott, Raymond, Thajudeen, Bijin, Tsosie, Rebecca, Woodhead, Gregory, Saunders, Milda, Alloway, Rita R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Bjornstad, Petter, Hsieh, Elena, Kendrick, Jessica, Pyle, Laura, Thurman, Joshua, Vinovskis, Carissa, Wrobel, Julia, Lucarelli, Nicholas, Sarder, Pinaki, Bui, James, Carmona-Powell; Ron Gaba, Eunice, Kelly, Tanika, Lash, James, Meza, Natalie, Redmond, Devona, Renteria, Amada, Ricardo, Ana, Setty, Suman, Srivastava, Anand, Alakwaa, Fadhl, Ascani, Heather, Balis, Ul, Bitzer, Markus, Blanc, Victoria, Bonevich, Nikki, Conser, Ninive, Demeke, Dawit, Dull, Rachel, Eddy, Sean, Frey, Renee, Hartman, John, He, Yongqun Oliver, Hodgin, Jeffrey, Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura, McCown, Phillip, Menon, Rajasree, Nair, Viji, Otto, Edgar, Reamy, Rebecca, Rose, Michael, Schaub, Jennifer, Steck, Becky, Wright, Zachary, Coleman, Alyson, Henderson-Brown; Jerica Berge, Dorisann, Caramori, Maria Luiza, Adeyi, Oyedele, Nachman, Patrick, Safadi, Sami, Flanagan, Siobhan, Ma, Sisi, Klett, Susan, Wolf, Susan, Harindhanavudhi, Tasma, Rao, Via, Bream, Peter, Froment, Anne, Kelley, Sara, Mottl, Amy, Chaudhury; Evan Zeitler, Prabir Roy, Bender, Filitsa, Elder, Michele, Gilliam, Matthew, Hall, Daniel E., Kellum, John A., Murugan, Raghavan, Palevsky, Paul, Rosengart, Matthew, Tan, Roderick, Tublin, Mitchell, Winters, James, Bansal, Shweta, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Cai, Qi, Hendricks, Allen, Hedayati, Susan, Kermani, Asra, Lee, Simon C., Ma, Shihong, Miller, Richard Tyler, Moe, Orson W., Park, Harold, Patel, Jiten, Pillai, Anil, Sambandam, Kamalanathan, Torrealba, Jose, Toto, Robert D., Vazquez, Miguel, Wang, Nancy, Wen, Natasha, Zhang, Dianbo, Alpers, Charles, Berglund, Ashley, Berry, Brooke, Blank, Kristina, Brown, Keith, Carson, Jonas, Daniel, Stephen, de Boer, Ian H., Dighe, Ashveena L., Dowd, Frederick, Grewenow, Stephanie M., Himmelfarb, Jonathan, Hoofnagle, Andrew, Jefferson, Nichole, Larson, Brandon, Limonte, Christine, McClelland, Robyn, Mooney, Sean, Nam, Yunbi, Park, Christopher, Phuong, Jimmy, Rezaei, Kasra, Roberts, Glenda, Sarkisova, Natalya, Shankland, Stuart, Snyder, Jaime, Stutzke, Christy, Tuttle, Katherine, Wangperawong, Artit, Wilcox, Adam, Williams, Kayleen, Young, Bessie, Allen, Jamie, Caprioli, Richard M., de Caestecker, Mark, Djambazova, Katerina, Dufresne, Martin, Farrow, Melissa, Fogo, Agnes, Sharman, Kavya, Spraggins, Jeffrey, Basta, Jeannine, Conlon, Kristine, Diettman, Sabine M., Gaut, Joseph, Kaushal, Madhurima, Jain, Sanjay, Knoten, Amanda, Minor, Brittany, Nwanne, Gerald, Vijayan, Anitha, Zhang, Bo, Arora, Tanima, Cantley, Lloyd, Victoria Castro, Angela M., Kakade, Vijayakumar, Moeckel, Gilbert, Moledina, Dennis, Shaw, Melissa, Wilson, Francis P., El-Achkar, Tarek M., and Eadon, Michael T.

Published
2024
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4. Participant Experience with Protocol Research Kidney Biopsies in the Kidney Precision Medicine Project

Author

Victoria-Castro, Angela M., Corona-Villalobos, Celia P., Xu, Alan Y., Onul, Ingrid, Huynh, Courtney, Chen, Sarah W., Ugwuowo, Ugochukwu, Sarkisova, Natalya, Dighe, Ashveena L., Blank, Kristina N., Blanc, Victoria M., Rose, Michael P., Himmelfarb, Jonathan, de Boer, Ian H., Tuttle, Katherine R., Roberts, Glenda V., Alexandrov, Theodore, Alloway, Rita R., Alpers, Charles E., Amodu, Afolarin A., Anderton, Christopher R., Anjani, Kavya, Appelbaum, Paul, Ardayfio, Joseph, Arora, Tanima, Ascani, Heather, El-Achkar, Tarek M., Aulisio, Mark, Azeloglu, Evren U., Balderes, Olivia, Balis, Ulysses G.J., Bansal, Shweta, Barasch, Jonathan M., Bansal, Shweta, Barkell, Alex, Barwinska, Daria, Basit, Mujeeb, Basta, Jeanine, Bebiak, Jack, Beck, Laurence H., Bender, Filitsa, Berglund, Ashley, Bernard, Lauren, Berrouet, Cecilia, Berry, Brooke, Bjornstad, Petter M., Blanc, Victoria M., Blank, Kristina N., Bledsoe, Sharon, Boada, Patrick, Bogen, Steve, Bomback, Andrew S., Bonevich, Nikole, Borner, Katy, Brown, Keith, Bueckle, Andreas, Burg, Ashley R., Burgess, Adam, Bush, Lakeshia, Bush, William S., Campbell, Catherine E., Campbell, Taneisha, Canetta, Pietro A., Cantley, Lloyd G., Caprioli, Richard M., Carson, Jonas, Chen, Sarah, Chen, Yijiang M., Cheng, Yinghua, Cimino, Jim, Colona, Mia R., Conser, Ninive C., Cooperman, Leslie, Crawford, Dana C., DʼAgati, Vivette D., Dagher, Pierre C., Daniel, Stephen, Daratha, Kenn, de Boer, Ian H., Diettman, Sabine M., Dighe, Ashveena L., Donohoe, Isabel, Dowd, Frederick, Dunn, Kenneth W., Eadon, Michael T., Eddy, Sean, Elder, Michele M., Ferkowicz, Michael J., Frey, Renee, Gadegbeku, Crystal A., Gaut, Joseph P., Gilliam, Matthew, Ginley, Brandon, Gisch, Debora, Goltsev, Yury, Gonzalez-Vicente, Agustin, Greka, Anna, Grewenow, Stephanie M., Hacohen, Nir, Hall, Daniel E., Hansen, Jens, Hayashi, Lynda, He, Cijang, He, Yougqun, Hedayati, S. Susan, Henderson, Joel M., Hendricks, Allen H., Herlitz, Leal, Herr, Bruce W., Himmelfarb, Jonathan, Hodgin, Jeffrey B., Hoofnagle, Andrew N., Hoover, Paul J., Ilori, Titlayo, Iyengar, Ravi, Jain, Sanjay, Jain, Yashvardhan, Janowczyk, Andrew, Jefferson, Nichole, Johansen, Camille, Jolly, Stacey, Kakade, Vijaykumar R., Kellum, John A., Kelly, Katherine J., Kermani, Asra, Kiryluk, Krzysztof, Knight, Richard, Koewler, Robert, Kretzler, Matthias, Kudose, Satoru, Lake, Blue B., Larson, Brandon, Laszik, Zoltan G., Lecker, Stewart H., Lee, Paul J., Lee, Simon C., Lienczewski, Chrysta, Limonte, Christine, Lu, Christopher Y., Lucarelli, Nicholas, Lukowski, Jessica, Luo, Jinghui, Lutnick, Brendon, Ma, Shihong, Madabhushi, Anant, Madhavan, Sethu M., Maikhor, Shana, Mariani, Laura H., Marshall, Jamie L., McClelland, Robyn L., McMahon, Gearoid M., Mehl, Karla, Ferreira, Ricardo Melo, Menez, Steven, Menon, Rajasree, Miller, R. Tyler, Moe, Orson W., Moledina, Dennis, Montellano, Richard, Mooney, Sean D., Morales, Martha Catalina, Mukatash, Tariq, Murugan, Raghavan, Nam, Yunbi, Nguyen, Jane, Nolan, Garry, Oʼtoole, John, Oliver, George (Holt), Onul, Ingrid, Otto, Edgar, Palevsky, Paul M., Palmer, Ellen, Pamreddy, Annapurna, Parikh, Chirag R., Parikh, Samir, Park, Christopher, Park, Harold, Pasa-Tolic, Ljiljana, Patel, Jiten, Patterson, Nathan, Phuong, Jim, Pillai, Anil, Pinkeney, Roy, Poggio, Emilio, Pollack, Ari, Prasad, Pottumarthi, Pyle, Laura, Quardokus, Ellen M., Randhawa, Parmjeet, Rauchman, Michael I., Record, Elizabeth, Rennke, Helmut, Rezaei, Kasra, Rike, Adele, Rivera, Marcelino, Roberts, Glenda V., Rosas, Sylvia E., Rosenberg, Avi, Rosengart, Matthew, Rovin, Brad, Roy, Neil, Sabatello, Maya, Sambandam, Kamalanathan, Sarder, Pinaki, Sarkisova, Natalya, Sarwal, Minnie, Saul, John, Schaub, Jennifer, Schmidt, Insa, Sealfon, Rachel, Sedor, John, Sendrey, Dianna, Shang, Ning, Shankland, Stuart, Shapiro, John P., Sharma, Kumar, Sharman, Kavya, Shaw, Melissa M., Shi, Tiffany, Shpigel, Anna, Sigdel, Tara, Slade, Austen, Snyder, Jamie, Spates-Harden, Kassandra, Spraggins, Jeffrey M., Srivastava, Anand, Steck, Becky, Stillman, Isaac, Stutzke, Christy, Su, Jing, Sun, Jennifer, Sutton, Timothy A., Taliercio, Jonathan, Tan, Roderick, Torrealba, Jose, Toto, Robert D., Troyanskaya, Olga, Tublin, Mitchell, Tuttle, Katherine R., Ugwuowo, Ugochukwu, Valerius, M. Todd, Van de Plas, Raf, Varela, German, Vazquez, Miguel, Velickovic, Dusan, Venkatachalam, Manjeri, Verma, Ashish, Victoria-Castro, Angela M., Vijayan, Anitha, Corona-Villalobos, Celia P., Vinovskis, Carissa, Viswanathan, Vidya S., Vita, Tina, Waikar, Sushrut, Wang, Ashley, Wang, Ruikang, Wang, Nancy, Weins, Astrid, Wen, Natasha, Wen, Yumeng, Wilcox, Adam, Williams, James C., Jr., Kayleen Williams, Williams, Mark, Wilson, Francis P., Winfree, Seth, Winters, James, Wofford, Stephanie, Wong, Aaron, Woodle, E. Steve, Xiong, Yuguang, Xu, Alan, Yadati, Pranav, Ye, Hongping, Yu, Guanghao, Zhang, Dianbo, Zhang, Guanshi, and Zhang, Kun

Published
2024
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5. Rationale and design of the Kidney Precision Medicine Project

Author

de Boer, Ian H, Alpers, Charles E, Azeloglu, Evren U, Balis, Ulysses GJ, Barasch, Jonathan M, Barisoni, Laura, Blank, Kristina N, Bomback, Andrew S, Brown, Keith, Dagher, Pierre C, Dighe, Ashveena L, Eadon, Michael T, El-Achkar, Tarek M, Gaut, Joseph P, Hacohen, Nir, He, Yongqun, Hodgin, Jeffrey B, Jain, Sanjay, Kellum, John A, Kiryluk, Krzysztof, Knight, Richard, Laszik, Zoltan G, Lienczewski, Chrysta, Mariani, Laura H, McClelland, Robyn L, Menez, Steven, Moledina, Dennis G, Mooney, Sean D, O’Toole, John F, Palevsky, Paul M, Parikh, Chirag R, Poggio, Emilio D, Rosas, Sylvia E, Rosengart, Matthew R, Sarwal, Minnie M, Schaub, Jennifer A, Sedor, John R, Sharma, Kumar, Steck, Becky, Toto, Robert D, Troyanskaya, Olga G, Tuttle, Katherine R, Vazquez, Miguel A, Waikar, Sushrut S, Williams, Kayleen, Wilson, Francis Perry, Zhang, Kun, Iyengar, Ravi, Kretzler, Matthias, Himmelfarb, Jonathan, Project, Kidney Precision Medicine, Lecker, Stewart, Stillman, Isaac, Waikar, Sushrut, Mcmahon, Gearoid, Weins, Astrid, Short, Samuel, Hoover, Paul, Aulisio, Mark, Cooperman, Leslie, Herlitz, Leal, O’Toole, John, Poggio, Emilio, Sedor, John, Jolly, Stacey, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan, Bomback, Andrew, Canetta, Pietro A, d’Agati, Vivette D, Kudose, Satoru, Mehl, Karla, Radhakrishnan, Jai, Weng, Chenhua, Alexandrov, Theodore, Ashkar, Tarek, Barwinska, Daria, Dagher, Pierre, Dunn, Kenneth, Eadon, Michael, Ferkowicz, Michael, Kelly, Katherine, Sutton, Timothy, Winfree, Seth, Parikh, Chirag, Rosenberg, Avi, Villalobos, Pam, Malik, Rubab, Fine, Derek, Atta, Mohammed, Trujillo, Jose Manuel Monroy, Slack, Alison, Rosas, Sylvia, and Williams, Mark

Subjects
Clinical Research, Transplantation, Kidney Disease, Prevention, Renal and urogenital, Good Health and Well Being, Acute Kidney Injury, Adult, Humans, Kidney, Precision Medicine, Prospective Studies, Proteomics, Renal Insufficiency, Chronic, acute kidney injury, chronic kidney disease, diabetes, hypertension, precision medicine, Kidney Precision Medicine Project, Clinical Sciences, Urology & Nephrology
Abstract

Chronic kidney disease (CKD) and acute kidney injury (AKI) are common, heterogeneous, and morbid diseases. Mechanistic characterization of CKD and AKI in patients may facilitate a precision-medicine approach to prevention, diagnosis, and treatment. The Kidney Precision Medicine Project aims to ethically and safely obtain kidney biopsies from participants with CKD or AKI, create a reference kidney atlas, and characterize disease subgroups to stratify patients based on molecular features of disease, clinical characteristics, and associated outcomes. An additional aim is to identify critical cells, pathways, and targets for novel therapies and preventive strategies. This project is a multicenter prospective cohort study of adults with CKD or AKI who undergo a protocol kidney biopsy for research purposes. This investigation focuses on kidney diseases that are most prevalent and therefore substantially burden the public health, including CKD attributed to diabetes or hypertension and AKI attributed to ischemic and toxic injuries. Reference kidney tissues (for example, living-donor kidney biopsies) will also be evaluated. Traditional and digital pathology will be combined with transcriptomic, proteomic, and metabolomic analysis of the kidney tissue as well as deep clinical phenotyping for supervised and unsupervised subgroup analysis and systems biology analysis. Participants will be followed prospectively for 10 years to ascertain clinical outcomes. Cell types, locations, and functions will be characterized in health and disease in an open, searchable, online kidney tissue atlas. All data from the Kidney Precision Medicine Project will be made readily available for broad use by scientists, clinicians, and patients.

Published
2021

8. Effect on Survival of Concurrent Hemoconcentration and Increase in Creatinine During Treatment of Acute Decompensated Heart Failure

Author

Griffin, Matthew, Rao, Veena S, Fleming, James, Raghavendra, Parinita, Turner, Jeffrey, Mahoney, Devin, Wettersten, Nicholas, Maisel, Alan, Ivey-Miranda, Juan B, Inker, Lesley, Tang, Wai Hong Wilson, Wilson, Francis Perry, and Testani, Jeffrey M

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Cardiovascular, Clinical Research, Acute Disease, Aged, Biomarkers, Creatinine, Diuretics, Female, Heart Failure, Hospital Mortality, Humans, Male, Prognosis, Retrospective Studies, Survival Rate, United States, Water-Electrolyte Imbalance, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

Hemoconcentration during the treatment of acute decompensated heart failure is a surrogate for plasma volume reduction and is associated with improved survival, but most definitions only allow for hemoconcentration to be determined retrospectively. An increase in serum creatinine can also be a marker of aggressive decongestion, but in isolation is not specific. Our objective was to determine if combined hemoconcentration and worsening creatinine could better identify patients that were aggressively treated and, as such, may have improved postdischarge outcomes. A total of 4,181 patients hospitalized with acute decompensated heart failure were evaluated. Those who experienced both hemoconcentration and worsening creatinine at any point had a profile consistent with aggressive in-hospital treatment and longer length of stay (p

Published
2019

9. Group analysis identifies differentially elevated biomarkers with distinct outcomes for advanced acute kidney injury in cardiac surgery

Author

Lin, Haiqun, Scherzer, Rebecca, Philbrook, Heather Thiessen, Coca, Steven G, Wilson, Francis Perry, Garg, Amit X, Shlipak, Michael G, and Parikh, Chirag R

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Prevention, Clinical Research, Kidney Disease, Patient Safety, Cardiovascular, Renal and urogenital, Good Health and Well Being, Acute Kidney Injury, Aged, Aged, 80 and over, Biomarkers, Cardiac Surgical Procedures, Female, Humans, Male, Middle Aged, Postoperative Complications, advanced AKI, biomarkers of AKI, group-based analysis, Medicinal and Biomolecular Chemistry, Medical Biochemistry and Metabolomics, Oncology & Carcinogenesis, Clinical sciences, Medical biochemistry and metabolomics, Medicinal and biomolecular chemistry
Abstract

AIM:To investigate early postoperative biomarkers for risk discrimination of advanced acute kidney injury (AKI). MATERIALS & METHODS:Postoperative plasma biomarkers including NGAL, h-FABP, CK-MB, hsTNT, NT-proBNP, IL-6, IL-10 and VEGF were analyzed using group-based method among 426 patients with AKI after cardiac surgery. RESULTS:Six patient groups with distinct biomarker patterns were identified. Individual biomarker displayed significant difference across the groups. The groups showed better discrimination for advanced AKI than any single biomarker either with or without adjusting for clinical variables. Average concentration of a single biomarker within each group, mortality and risk of a secondary outcome all demonstrated an approximately U-shaped relationship with proportion of advanced AKI within each group. CONCLUSION:The group-based analysis revealed that the order of the patient groups with an increasing likelihood of advanced AKI had a nonlinear relationship with average concentration of an individual biomarker, mortality and risk of other outcomes.

Published
2017

10. Cadherin-11, Sparc-related modular calcium binding protein-2, and Pigment epithelium-derived factor are promising non-invasive biomarkers of kidney fibrosis

Author

Knight, Richard, Lecker, Stewart H., Stillman, Isaac, Bogen, Steve, Amodu, Afolarin A., Ilori, Titlayo, Maikhor, Shana, Schmidt, Insa M., Beck, Laurence H., Henderson, Joel M., Onul, Ingrid, Verma, Ashish, McMahon, Gearoid M., Valerius, M. Todd, Waikar, Sushrut, Weins, Astrid, Colona, Mia R., Greka, Anna, Hacohen, Nir, Hoover, Paul J., Marshall, Jamie L., Aulisio, Mark, Chen, Yijiang M., Janowczyk, Andrew, Jayapandian, Catherine, Viswanathan, Vidya S., Bush, William S., Crawford, Dana C., Madabhushi, Anant, Bush, Lakeshia, Cooperman, Leslie, Gonzalez-Vicente, Agustin, Herlitz, Leal, Jolly, Stacey, Nguyen, Jane, O’toole, John, Palmer, Ellen, Poggio, Emilio, Sedor, John, Sendrey, Dianna, Spates-Harden, Kassandra, Taliercio, Jonathan, Bjornstad, Petter M., Pyle, Laura, Vinovskis, Carissa, Appelbaum, Paul, Balderes, Olivia, Barasch, Jonathan M., Bomback, Andrew S., Canetta, Pietro A., D’Agati, Vivette D., Kiryluk, Krzysztof, Kudose, Satoru, Mehl, Karla, Shang, Ning, Bansal, Shweta, Alexandrov, Theodore, Rennke, Helmut, El-Achkar, Tarek M., Barwinska, Daria, Bledso, Sharon, Borner, Katy, Bueckle, Andreas, Cheng, Yinghua, Dagher, Pierre C., Dunn, Kenneth W., Eadon, Michael T., Ferkowicz, Michael J., Herr, Bruce W., Kelly, Katherine J., Ferreira, Ricardo Melo, Quardokus, Ellen M., Record, Elizabeth, Rivera, Marcelino, Su, Jing, Sutton, Timothy A., Williams, James C., Jr., Winfree, Seth, Jain, Yashvardhan, Menez, Steven, Parikh, Chirag R., Rosenberg, Avi, Corona-Villalobos, Celia P., Wen, Yumeng, Johansen, Camille, Rosas, Sylvia E., Roy, Neil, Sun, Jennifer, Williams, Mark, Azeloglu, Evren U., Hansen, Jens, He, Cijang, Iyengar, Ravi, Xiong, Yuguang, Prasad, Pottumarthi, Srivastava, Anand, Madhavan, Sethu M., Parikh, Samir, Rovin, Brad, Shapiro, John P., Anderton, Christopher R., Lukowski, Jessica, Pasa-Tolic, Ljiljana, Velickovic, Dusan, Oliver, George (Holt), Ardayfio, Joseph, Bebiak, Jack, Brown, Keith, Campbell, Taneisha, Campbell, Catherine E., Hayashi, Lynda, Jefferson, Nichole, Roberts, Glenda V., Saul, John, Shpigel, Anna, Stutzke, Christy, Koewler, Robert, Pinkeney, Roy, Sealfon, Rachel, Troyanskaya, Olga, Wong, Aaron, Tuttle, Katherine R., Pollack, Ari, Goltsev, Yury, Ginley, Brandon, Lucarelli, Nicholas, Lutnick, Brendon, Sarder, Pinaki, Lake, Blue B., Zhang, Kun, Boada, Patrick, Laszik, Zoltan G., Nolan, Garry, Anjani, Kavya, Sarwal, Minnie, Mukatash, Tariq, Sigdel, Tara, Alloway, Rita R., Burg, Ashley R., Lee, Paul J., Rike, Adele, Shi, Tiffany, Woodle, E. Steve, Ascani, Heather, Balis, Ulysses G.J., Blanc, Victoria M., Conser, Ninive C., Eddy, Sean, Frey, Renee, He, Yougqun, Hodgin, Jeffrey B., Kretzler, Matthias, Lienczewski, Chrysta, Luo, Jinghui, Mariani, Laura H., Menon, Rajasree, Otto, Edgar, Schaub, Jennifer, Steck, Becky, Elder, Michele M., Gilliam, Matthew, Hall, Daniel E., Murugan, Raghavan, Palevsky, Paul M., Randhawa, Parmjeet, Rosengart, Matthew, Tublin, Mitchell, Vita, Tina, Winters, James, Kellum, John A., Alpers, Charles E., Berglund, Ashley, Berry, Brooke, Blank, Kristina N., Carson, Jonas, Daniel, Stephen, De Boer, Ian H., Dighe, Ashveena L., Dowd, Frederick, Grewenow, Stephanie M., Himmelfarb, Jonathan, Hoofnagle, Andrew N., Limonte, Christine, McClelland, Robyn L., Mooney, Sean D., Rezaei, Kasra, Shankland, Stuart, Snyder, Jamie, Wang, Ruikang, Wilcox, Adam, Williams, Kayleen, Park, Christopher, Montellano, Richard, Pamreddy, Annapurna, Sharma, Kumar, Venkatachalam, Manjeri, Ye, Hongping, Zhang, Guanshi, Basit, Mujeeb, Hedayati, S. Susan, Kermani, Asra, Lee, Simon C., Lu, Christopher Y., Miller, R. Tyler, Moe, Orson W., Patel, Jiten, Pillai, Anil, Sambandam, Kamalanathan, Torrealba, Jose, Toto, Robert D., Vazquez, Miguel, Wang, Nancy, Wen, Natasha, Zhang, Dianbo, Park, Harold, Caprioli, Richard M., Patterson, Nathan, Sharman, Kavya, Spraggins, Jeffrey M., Van de Plas, Raf, Basta, Jeanine, Diettman, Sabine M., Gaut, Joseph P., Jain, Sanjay, Rauchman, Michael I., Vijayan, Anitha, Cantley, Lloyd G., Kakade, Vijaykumar R., Moledina, Dennis, Shaw, Melissa M., Ugwuowo, Ugochukwu, Wilson, Francis P., Arora, Tanima, Kestenbaum, Bryan R., Alexopoulos, Leonidas G., Palsson, Ragnar, Liu, Jing, Stillman, Isaac E., Rennke, Helmut G., Vaidya, Vishal S., Wu, Haojia, Humphreys, Benjamin D., and Waikar, Sushrut S.

Published
2021
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14. Urine biomarkers of tubular injury do not improve on the clinical model predicting chronic kidney disease progression.

Author

Hsu, Chi-Yuan, Xie, Dawei, Waikar, Sushrut S, Bonventre, Joseph V, Zhang, Xiaoming, Sabbisetti, Venkata, Mifflin, Theodore E, Coresh, Josef, Diamantidis, Clarissa J, He, Jiang, Lora, Claudia M, Miller, Edgar R, Nelson, Robert G, Ojo, Akinlolu O, Rahman, Mahboob, Schelling, Jeffrey R, Wilson, Francis P, Kimmel, Paul L, Feldman, Harold I, Vasan, Ramachandran S, Liu, Kathleen D, CRIC Study Investigators, and CKD Biomarkers Consortium

Subjects
CRIC Study Investigators, CKD Biomarkers Consortium, Kidney Tubules, Humans, Kidney Failure, Chronic, Albuminuria, Disease Progression, Creatinine, Acetylglucosaminidase, Glomerular Filtration Rate, Proportional Hazards Models, Risk Assessment, Risk Factors, Follow-Up Studies, Prospective Studies, Aged, Middle Aged, Female, Male, Fatty Acid-Binding Proteins, Renal Insufficiency, Chronic, Biomarkers, Lipocalin-2, Hepatitis A Virus Cellular Receptor 1, chronic kidney disease, microalbuminuria, proteinuria, Kidney Disease, Patient Safety, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Renal and urogenital, Good Health and Well Being, Clinical Sciences, Urology & Nephrology
Abstract

Few investigations have evaluated the incremental usefulness of tubular injury biomarkers for improved prediction of chronic kidney disease (CKD) progression. As such, we measured urinary kidney injury molecule-1, neutrophil gelatinase-associated lipocalin, N-acetyl-ß-D-glucosaminidase and liver fatty acid binding protein under highly standardized conditions among 2466 enrollees of the prospective Chronic Renal Insufficiency Cohort Study. During 9433 person-years of follow-up, there were 581 cases of CKD progression defined as incident end-stage renal disease or halving of the estimated glomerular filtration rate. Levels of the urine injury biomarkers, normalized for urine creatinine, were strongly associated with CKD progression in unadjusted Cox proportional hazard models with hazard ratios in the range of 7 to 15 comparing the highest with the lowest quintiles. However, after controlling for the serum creatinine-based estimated glomerular filtration rate and urinary albumin/creatinine ratio, none of the normalized biomarkers was independently associated with CKD progression. None of the biomarkers improved on the high (0.89) C-statistic for the base clinical model. Thus, among patients with CKD, risk prediction with a clinical model that includes the serum creatinine-based estimated glomerular filtration rate and the urinary albumin/creatinine ratio is not improved on with the addition of renal tubular injury biomarkers.

Published
2017

18. Machine Learning Prediction of Death in Critically Ill Patients With Coronavirus Disease 2019

Author

Churpek, Matthew M., Gupta, Shruti, Spicer, Alexandra B., Hayek, Salim S., Srivastava, Anand, Chan, Lili, Melamed, Michal L., Brenner, Samantha K., Radbel, Jared, Madhani-Lovely, Farah, Bhatraju, Pavan K., Bansal, Anip, Green, Adam, Goyal, Nitender, Shaefi, Shahzad, Parikh, Chirag R., Semler, Matthew W., Leaf, David E., Walther, Carol P., Anumudu, Samaya J., Arunthamakun, Justin, Kopecky, Kathleen F., Milligan, Gregory P., McCullough, Peter A., Nguyen, ThuyDuyen, Shaefi, Shahzad, Krajewski, Megan L., Shankar, Sidharth, Pannu, Ameeka, Valencia, Juan D., Waikar, Sushrut S., Kibbelaar, Zoe A., Athavale, Ambarish M., Hart, Peter, Ajiboye, Oyintayo, Itteera, Matthew, Green, Adam, Rachoin, Jean-Sebastien, Schorr, Christa A., Shea, Lisa, Edmonston, Daniel L., Mosher, Christopher L., Shehata, Alexandre M., Cohen, Zaza, Allusson, Valerie, Bambrick-Santoyo, Gabriela, Bhatti, Noor ul aain, Metha, Bijal, Williams, Aquino, Brenner, Samantha K., Walters, Patricia, Go, Ronaldo C., Rose, Keith M., Hernán, Miguel A., Zhou, Amy M., Kim, Ethan C., Lisk, Rebecca, Chan, Lili, Mathews, Kusum S., Coca, Steven G., Altman, Deena R., Saha, Aparna, Soh, Howard, Wen, Huei Hsun, Bose, Sonali, Leven, Emily, Wang, Jing G., Mosoyan, Gohar, Nadkarni, Girish N., Friedman, Allon N., Guirguis, John, Kapoor, Rajat, Meshberger, Christopher, Parikh, Chirag R., Garibaldi, Brian T., Corona-Villalobos, Celia P., Wen, Yumeng, Menez, Steven, Malik, Rubab F., Cervantes, Carmen Elena, Gautam, Samir C., Chang, Crystal, Nguyen, H. Bryant, Ahoubim, Afshin, Thomas, Leslie F., Guru, Pramod K., Bergl, Paul A., Zhou, Yan, Rodriguez, Jesus, Shah, Jatan A., Gupta, Mrigank S., Kumar, Princy N., Lazarous, Deepa G., Kassaye, Seble G., Melamed, Michal L., Johns, Tanya S., Mocerino, Ryan, Prudhvi, Kalyan, Zhu, Denzel, Levy, Rebecca V., Azzi, Yorg, Fisher, Molly, Yunes, Milagros, Sedaliu, Kaltrina, Golestaneh, Ladan, Brogan, Maureen, Thakkar, Jyotsana, Kumar, Neelja, Ross, Michael J., Chang, Michael, Raichoudhury, Ritesh, Schenck, Edward J., Cho, Soo Jung, Plataki, Maria, Alvarez-Mulett, Sergio L., Gomez-Escobar, Luis G., Pan, Di, Lee, Stefi, Krishnan, Jamuna, Whalen, William, Charytan, David, Macina, Ashley, Ross, Daniel W., Srivastava, Anand, Leidner, Alexander S., Martinez, Carlos, Kruser, Jacqueline M., Wunderink, Richard G., Hodakowski, Alexander J., Velez, Juan Carlos Q., Price-Haywood, Eboni G., Matute-Trochez, Luis A., Hasty, Anna E., Mohamed, Muner MB., Avasare, Rupali S., Zonies, David, Leaf, David E., Gupta, Shruti, Baron, Rebecca M., Sise, Meghan E., Newman, Erik T., Omar, Samah Abu, Pokharel, Kapil K., Sharma, Shreyak, Singh, Harkarandeep, Gaviria, Simon Correa, Shaukat, Tanveer, Kamal, Omer, Wang, Wei, Yang, Heather, Boateng, Jeffery O., Lee, Meghan, Strohbehn, Ian A., Li, Jiahua, Muhsin, Saif A., Mandel, Ernest I., Mueller, Ariel L., Cairl, Nicholas S., Madhani-Lovely, Farah, Rowan, Chris, Madhai-Lovely, Farah, Peev, Vasil, Reiser, Jochen, Byun, John J., Vissing, Andrew, Kapania, Esha M., Post, Zoe, Patel, Nilam P., Hermes, Joy-Marie, Sutherland, Anne K., Patrawalla, Amee, Finkel, Diana G., Danek, Barbara A., Arikapudi, Sowminya, Paer, Jeffrey M., Radbel, Jared, Puri, Sonika, Sunderram, Jag, Scharf, Matthew T., Ahmed, Ayesha, Berim, Ilya, Vatson, Jayanth, Anand, Shuchi, Levitt, Joseph E., Garcia, Pablo, Boyle, Suzanne M., Song, Rui, Zhang, Jingjing, Sharshir, Moh’d A., Rusnak, Vadym V., Bansal, Anip, Podoll, Amber S., Chonchol, Michel, Sharma, Sunita, Burnham, Ellen L., Rashidi, Arash, Hejal, Rana, Judd, Eric, Latta, Laura, Tolwani, Ashita, Albertson, Timothy E., Adams, Jason Y., Chang, Steven Y., Beutler, Rebecca M., Schulze, Carl E., Macedo, Etienne, Rhee, Harin, Liu, Kathleen D., Jotwani, Vasantha K., Koyner, Jay L., Shah, Chintan V., Jaikaransingh, Vishal, Toth-Manikowski, Stephanie M., Joo, Min J., Lash, James P., Neyra, Javier A., Chaaban, Nourhan, Iardino, Alfredo, Au, Elizabeth H., Sharma, Jill H., Anne Sosa, Marie, Taldone, Sabrina, Contreras, Gabriel, De La Zerda, David, Gershengorn, Hayley B., Hayek, Salim S., Blakely, Pennelope, Berlin, Hanna, Azam, Tariq U., Shadid, Husam, Pan, Michael, Hayer, Patrick O’, Meloche, Chelsea, Feroze, Rafey, Padalia, Kishan J., Leya, Jeff, Donnelly, John P., Admon, Andrew J., Flythe, Jennifer E., Tugman, Matthew J., Brown, Brent R., Leonberg-Yoo, Amanda K., Spiardi, Ryan C., Miano, Todd A., Roche, Meaghan S., Vasquez, Charles R., Bansal, Amar D., Ernecoff, Natalie C., Kovesdy, Csaba P., Molnar, Miklos Z., Hedayati, S. Susan, Nadamuni, Mridula V., Khan, Sadaf S., Willett, Duwayne L., Short, Samuel A.P., Renaghan, Amanda D., Bhatraju, Pavan, Malik, A. Bilal, Semler, Matthew W., Vijayan, Anitha, Mariyam Joy, Christina, Li, Tingting, Goldberg, Seth, Kao, Patricia F., Schumaker, Greg L., Goyal, Nitender, Faugno, Anthony J., Schumaker, Greg L., Hsu, Caroline M., Tariq, Asma, Meyer, Leah, Christov, Marta, Wilson, Francis P., Arora, Tanima, and Ugwuowo, Ugochukwu

Published
2021
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19. Podocyte histone deacetylase activity regulates murine and human glomerular diseases

Author

Inoue, Kazunori, Gan, Geliang, Ciarleglio, Maria, Zhang, Yan, Tian, Xuefei, Pedigo, Christopher E., Cavanaugh, Corey, Tate, Janet, Wang, Ying, Cross, Elizabeth, Groener, Marwin, Chai, Nathan, Wang, Zhen, Justice, Amy, Zhang, Zhenhai, Parikh, Chirag R., Wilson, Francis P., and Ishibe, Shuta

Subjects
Gene expression -- Research, Histones -- Research, Kidney diseases -- Genetic aspects -- Development and progression -- Research, Valproic acid, Vorinostat, Lamotrigine, Proteinuria, Genes, Messenger RNA, Levetiracetam, RNA, Criminal investigation, Digital map services, Chronic kidney failure, Health care industry
Abstract

We identified 2 genes, histone deacetylase 1 (HDAC1) and HDAC2, contributing to the pathogenesis of proteinuric kidney diseases, the leading cause of end-stage kidney disease. mRNA expression profiling from proteinuric mouse glomeruli was linked to Connectivity Map databases, identifying HDAC1 and HDAC2 with the differentially expressed gene set reversible by HDAC inhibitors. In numerous progressive glomerular disease models, treatment with valproic acid (a class I HDAC inhibitor) or SAHA (a pan-HDAC inhibitor) mitigated the degree of proteinuria and glomerulosclerosis, leading to a striking increase in survival. Podocyte HDAC1 and HDAC2 activities were increased in mice podocytopathy models, and podocyte-associated Hdacl and [Hdac2.sup.fl/fl] genetic ablation improved proteinuria and glomerulosclerosis. Podocyte early growth response 1 (EGR1) was increased in proteinuric patients and mice in an HDAC1- and HDAC2-dependent manner. Loss of EGR1 in mice reduced proteinuria and glomerulosclerosis. Longitudinal analysis of the multicenter Veterans Aging Cohort Study demonstrated a 30% reduction in mean annual loss of estimated glomerular filtration rate, and this effect was more pronounced in proteinuric patients receiving valproic acid. These results strongly suggest that inhibition of HDAC1 and HDAC2 activities may suppress the progression of human proteinuric kidney diseases through the regulation of EGR1., Introduction The kidney filtration barrier is composed of fenestrated endothelial cells, the glomerular basement membrane, and the podocytes. The podocyte is a terminally differentiated epithelial cell, which in concert with [...]

Published
2019
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20. Impact Of Digital Health Interventions In The Quality Of Life Of Patients With Heart Failure: A Randomized Trial

Author

Castro, Angela M. Victoria, primary, Martin, Melissa L., additional, Desai, Nihar, additional, Ahmad, Tariq, additional, Yamamoto, Yu, additional, Melchinger, Hannah, additional, Lee, Kyoung A., additional, Gerber, Brett, additional, Nguyen, Andrew, additional, Weinstein, Jason, additional, Subair, Labeebah, additional, Lee, Veronica, additional, Williams, Alyssa, additional, Shaw, Melissa, additional, Arora, Tanima, additional, and Wilson, Francis P., additional

Published
2023
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21. Personalised recommendations for hospitalised patients with Acute Kidney Injury using a Kidney Action Team (KAT-AKI): protocol and early data of a randomised controlled trial

Author

Aklilu, Abinet Mathias, primary, O’Connor, Kyle D, additional, Martin, Melissa, additional, Yamamoto, Yu, additional, Coronel-Moreno, Claudia, additional, Shvets, Kristina, additional, Jones, Charles, additional, Kadhim, Bashar, additional, Corona-Villalobos, Celia P, additional, Baker, Megan L, additional, Tan, Jiawei, additional, Freeman, Natasha, additional, Groener, Marwin, additional, Menez, Steven, additional, Brown, Dannielle, additional, Culli, Samuel E, additional, Lindsley, John, additional, Orias, Marcelo, additional, Parikh, Chirag, additional, Smith, Abigail, additional, Sundararajan, Anusha, additional, and Wilson, Francis P, additional

Published
2023
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23. Study Protocol for the Pilot Evaluation for SMartphone-adaptable Artificial Intelligence for PRediction and DeTection of Left Ventricular Systolic Dysfunction (The SMART-LV Pilot Study Protocol)

Author

Dhingra, Lovedeep Singh, primary, Aminorroaya, Arya, additional, Sangha, Veer, additional, Khunte, Akshay, additional, Oikonomou, Evangelos K, additional, Mortazavi, Bobak J, additional, McNamara, Robert, additional, Herrin, Jeph, additional, Wilson, Francis P, additional, Krumholz, Harlan, additional, and Khera, Rohan, additional

Published
2023
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24. The diaries of Colonel Francis J. Wilson, 1946-1949.

Author

Wilson, Francis J. and Wilson, Francis J.

Subjects
Foundations History. Oklahoma, Agriculture History. Oklahoma, Fondations (Construction) Histoire. Oklahoma, Agriculture Histoire. Oklahoma, Agriculture., Foundations., Oklahoma.
Published
2022

26. Pragmatic randomized trial assessing the impact of digital health technology on quality of life in patients with heart failure: Design, rationale and implementation

Author

Victoria‐Castro, Angela M., primary, Martin, Melissa, additional, Yamamoto, Yu, additional, Ahmad, Tariq, additional, Arora, Tanima, additional, Calderon, Frida, additional, Desai, Nihar, additional, Gerber, Brett, additional, Lee, Kyoung A., additional, Jacoby, Daniel, additional, Melchinger, Hannah, additional, Nguyen, Andrew, additional, Shaw, Melissa, additional, Simonov, Michael, additional, Williams, Alyssa, additional, Weinstein, Jason, additional, and Wilson, Francis P., additional

Published
2022
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27. A Participant-Centered Approach to Understanding Risks and Benefits of Participation in Research Informed by the Kidney Precision Medicine Project

Author

Butler, Catherine R., primary, Appelbaum, Paul S., additional, Ascani, Heather, additional, Aulisio, Mark, additional, Campbell, Catherine E., additional, de Boer, Ian H., additional, Dighe, Ashveena L., additional, Hall, Daniel E., additional, Himmelfarb, Jonathan, additional, Knight, Richard, additional, Mehl, Karla, additional, Murugan, Raghavan, additional, Rosas, Sylvia E., additional, Sedor, John R., additional, O’Toole, John F., additional, Tuttle, Katherine R., additional, Waikar, Sushrut S., additional, Freeman, Michael, additional, Alexandrov, Theodore, additional, Alpers, Charles E., additional, Anderton, Christopher R., additional, Ardayfio, Joseph, additional, Arora, Tanima, additional, El-Achkar, Tarek M., additional, Azeloglu, Evren U., additional, Balderes, Olivia, additional, Balis, Ulysses G.J., additional, Bansal, Shweta, additional, Barasch, Jonathan M., additional, Barwinska, Daria, additional, Bebiak, Jack, additional, Blanc, Victoria M., additional, Blank, Kristina N., additional, Bomback, Andrew S., additional, Brown, Keith D., additional, Bush, William S., additional, Campbell, Taneisha, additional, Canetta, Pietro A., additional, Carson, Jonas, additional, Cooperman, Leslie, additional, Crawford, Dana C., additional, D’Agati, Vivette D., additional, Dagher, Pierre C., additional, Daniel, Stephen, additional, Dowd, Frederick, additional, Dunn, Kenneth W., additional, Eadon, Michael T., additional, Eddy, Sean, additional, Elder, Michele M., additional, Ferkowicz, Michael J., additional, Gaut, Joe P., additional, Goltsev, Yury, additional, Gonzalez-Vicente, Agustin, additional, Hacohen, Nir, additional, Hansen, Jens, additional, Hayashi, Lynda, additional, He, Oliver, additional, He, Cijang, additional, Hedayati, S. Susan, additional, Herlitz, Leal, additional, Hodgin, Jeffrey B., additional, Hoofnagle, Andrew N., additional, Hoover, Paul J., additional, Iyengar, Ravi, additional, Jain, Sanjay, additional, Jefferson, Nichole, additional, Jolly, Stacey, additional, Kellum, John A., additional, Kelly, Katherine J., additional, Kermani, Asra, additional, Kiryluk, Krzysztof, additional, Koewler, Robert, additional, Kretzler, Matthias, additional, Lake, Blue B., additional, Laszik, Zoltan G., additional, Lecker, Stewart H., additional, Lee, Simon C., additional, Lienczewski, Chrysta, additional, Lu, Christopher Y., additional, Mariani, Laura H., additional, McClelland, Robyn L., additional, McMahon, Gearoid M., additional, Menez, Steven, additional, Menon, Rajasree, additional, Miller, Tyler, additional, Moe, Orson W., additional, Moledina, Dennis, additional, Mooney, Sean D., additional, Nguyen, Jane, additional, Nolan, Garry, additional, Oliver, George, additional, Otto, Edgar, additional, Palevsky, Paul M., additional, Palmer, Ellen, additional, Pamreddy, Annapurna, additional, Parikh, Chirag R., additional, Parikh, Samir, additional, Park, Christopher, additional, Park, Harold, additional, Pasa-Tolic, Ljiljana, additional, Pinkeney, Roy, additional, Poggio, Emilio, additional, Randhawa, Parmjeet, additional, Rennke, Helmut, additional, Roberts, Glenda V., additional, Rosenberg, Avi, additional, Rosengart, Matthew, additional, Rovin, Brad, additional, Roy, Neil, additional, Sambandam, Kamalanathan, additional, Sarwal, Minnie, additional, Saul, John, additional, Schaub, Jennifer, additional, Sealfon, Rachel, additional, Shang, Ning, additional, Shankland, Stuart, additional, Sharma, Kumar, additional, Shpigel, Anna, additional, Sigdel, Tara, additional, Steck, Becky, additional, Stillman, Isaac, additional, Stutzke, Edith Christine, additional, Sutton, Timothy A., additional, Torrealba, Jose, additional, Toto, Robert D., additional, Troyanskaya, Olga, additional, Tublin, Mitchell, additional, Ugwuowo, Ugochukwu, additional, Vazquez, Miguel, additional, Velickovic, Dusan, additional, Venkatachalam, Manjeri, additional, Vijayan, Anitha, additional, Corona-Villalobos, Celia P., additional, Wang, Nancy, additional, Weins, Astrid, additional, Wilcox, Adam, additional, Williams, Kayleen, additional, Williams, Mark, additional, Wilson, Francis P., additional, Winfree, Seth, additional, Xiong, Yuguang, additional, Zhang, Kun, additional, and Zhang, Guanshi, additional

Published
2022
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28. Integrated single-cell sequencing and histopathological analyses reveal diverse injury and repair responses in a participant with acute kidney injury: a clinical-molecular-pathologic correlation

Author

Menon, Rajasree, primary, Bomback, Andrew S., additional, Lake, Blue B., additional, Stutzke, Christy, additional, Grewenow, Stephanie M., additional, Menez, Steven, additional, D’Agati, Vivette D., additional, Jain, Sanjay, additional, Knight, Richard, additional, Lecker, Stewart H., additional, Stillman, Isaac, additional, Bogen, Steve, additional, Beck, Laurence H., additional, Waikar, Sushrut, additional, McMahon, Gearoid M., additional, Weins, Astrid, additional, Colona, Mia R., additional, Hacohen, Nir, additional, Hoover, Paul J., additional, Aulisio, Mark, additional, Bush, William S., additional, Crawford, Dana C., additional, O'toole, John, additional, Poggio, Emilio, additional, Sedor, John, additional, Cooperman, Leslie, additional, Jolly, Stacey, additional, Herlitz, Leal, additional, Nguyen, Jane, additional, Gonzalez-Vicente, Agustin, additional, Palmer, Ellen, additional, Sendrey, Dianna, additional, Vinovskis, Carissa, additional, Bjornstad, Petter M., additional, Appelbaum, Paul, additional, Barasch, Jonathan M., additional, D'Agati, Vivette D., additional, Kiryluk, Krzysztof, additional, Mehl, Karla, additional, Canetta, Pietro A., additional, Shang, Ning, additional, Balderes, Olivia, additional, Kudose, Satoru, additional, Bansal, Shweta, additional, Alexandrov, Theodore, additional, Rennke, Helmut, additional, El-Achkar, Tarek M., additional, Cheng, Yinghua, additional, Dagher, Pierre C., additional, Eadon, Michael T., additional, Dunn, Kenneth W., additional, Kelly, Katherine J., additional, Sutton, Timothy A., additional, Barwinska, Daria, additional, Ferkowicz, Michael J., additional, Winfree, Seth, additional, Bledsoe, Sharon, additional, Rivera, Marcelino, additional, Williams, James C., additional, Ferreira, Ricardo Melo, additional, Parikh, Chirag R., additional, Corona-Villalobos, Celia P., additional, Rosenberg, Avi, additional, Rosas, Sylvia E., additional, Roy, Neil, additional, Williams, Mark, additional, Azeloglu, Evren U., additional, He, Cijang, additional, Iyengar, Ravi, additional, Hansen, Jens, additional, Xiong, Yuguang, additional, Rovin, Brad, additional, Parikh, Samir, additional, Shapiro, John P., additional, Anderton, Christopher R., additional, Pasa-Tolic, Ljiljana, additional, Velickovic, Dusan, additional, Lukowski, Jessica, additional, Oliver, George, additional, Ardayfio, Joseph, additional, Bebiak, Jack, additional, Brown, Keith, additional, Campbell, Catherine E., additional, Saul, John, additional, Shpigel, Anna, additional, Koewler, Robert, additional, Campbell, Taneisha, additional, Hayashi, Lynda, additional, Jefferson, Nichole, additional, Roberts, Glenda V., additional, Pinkeney, Roy, additional, Troyanskaya, Olga, additional, Sealfon, Rachel, additional, Tuttle, Katherine R., additional, Goltsev, Yury, additional, Zhang, Kun, additional, Laszik, Zoltan G., additional, Nolan, Garry, additional, Boada, Patrick, additional, Sarwal, Minnie, additional, Sigdel, Tara, additional, Lee, Paul J., additional, Alloway, Rita R., additional, Woodle, E. Steve, additional, Ascani, Heather, additional, Balis, Ulysses G.J., additional, Hodgin, Jeffrey B., additional, Kretzler, Matthias, additional, Lienczewski, Chrysta, additional, Mariani, Laura H., additional, Menon, Rajasree, additional, Steck, Becky, additional, He, Yougqun, additional, Otto, Edgar, additional, Schaub, Jennifer, additional, Blanc, Victoria M., additional, Eddy, Sean, additional, Conser, Ninive C., additional, Luo, Jinghui, additional, Palevsky, Paul M., additional, Rosengart, Matthew, additional, Kellum, John A., additional, Hall, Daniel E., additional, Randhawa, Parmjeet, additional, Tublin, Mitchell, additional, Murugan, Raghavan, additional, Elder, Michele M., additional, Winters, James, additional, Alpers, Charles E., additional, Blank, Kristina N., additional, Carson, Jonas, additional, De Boer, Ian H., additional, Dighe, Ashveena L., additional, Himmelfarb, Jonathan, additional, Mooney, Sean D., additional, Shankland, Stuart, additional, Williams, Kayleen, additional, Park, Christopher, additional, Dowd, Frederick, additional, McClelland, Robyn L., additional, Daniel, Stephen, additional, Hoofnagle, Andrew N., additional, Wilcox, Adam, additional, Sharma, Kumar, additional, Venkatachalam, Manjeri, additional, Zhang, Guanshi, additional, Pamreddy, Annapurna, additional, Ye, Hongping, additional, Montellano, Richard, additional, Toto, Robert D., additional, Vazquez, Miguel, additional, Lee, Simon C., additional, Miller, R. Tyler, additional, Moe, Orson W., additional, Torrealba, Jose, additional, Wang, Nancy, additional, Kermani, Asra, additional, Sambandam, Kamalanathan, additional, Park, Harold, additional, Hedayati, S. Susan, additional, Lu, Christopher Y., additional, Vijayan, Anitha, additional, Gaut, Joseph P., additional, Moledina, Dennis, additional, Wilson, Francis P., additional, Ugwuowo, Ugochukwu, additional, and Arora, Tanima, additional

Published
2022
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30. Pragmatic trial of messaging to providers about treatment of acute heart failure: The PROMPT-AHF trial.

Author

Ghazi, Lama, O'Connor, Kyle, Yamamoto, Yu, Fuery, Michael, Sen, Sounok, Samsky, Marc, Riello III, Ralph J., Huang, Joanna, Olufade, Temitope, McDermott, James, Inzucchi, Silvio E., Velazquez, Eric J., Wilson, Francis Perry, Desai, Nihar R., and Ahmad, Tariq

Abstract

Acute Heart failure (AHF) is among the most frequent causes of hospitalization in the United States, contributing to substantial health care costs, morbidity, and mortality. Inpatient initiation of guideline-directed medical therapy (GDMT) is recommended for patients with heart failure with reduced ejection fraction (HFrEF) to reduce the risk of cardiovascular death or HF hospitalization. However, underutilization of GDMT prior to discharge is pervasive, representing a valuable missed opportunity to optimize evidence-based care. The PR agmatic Trial O f Messaging to P roviders about T reatment of A cute H eart F ailure tests the effectiveness of an electronic health record embedded clinical decision support system that informs providers during hospital management about indicated but not yet prescribed GDMT for eligible AHF patients with HFrEF. PR agmatic Trial O f Messaging to P roviders about T reatment of A cute H eart F ailureis an open-label, multicenter, pragmatic randomized controlled trial of 1,012 patients hospitalized with HFrEF. Eligible patients randomized to the intervention group are exposed to a tailored best practice advisory embedded within the electronic health record that alerts providers to prescribe omitted GDMT. The primary outcome is an increase in the proportion of additional GDMT medication classes prescribed at the time of discharge compared to those in the usual care arm. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Clinically adjudicated deceased donor acute kidney injury and graft outcomes

Author

Mansour, Sherry G., primary, Khoury, Nadeen, additional, Kodali, Ravi, additional, Virmani, Sarthak, additional, Reese, Peter P., additional, Hall, Isaac E., additional, Jia, Yaqi, additional, Yamamoto, Yu, additional, Thiessen-Philbrook, Heather R., additional, Obeid, Wassim, additional, Doshi, Mona D., additional, Akalin, Enver, additional, Bromberg, Jonathan S., additional, Harhay, Meera N., additional, Mohan, Sumit, additional, Muthukumar, Thangamani, additional, Singh, Pooja, additional, Weng, Francis L., additional, Moledina, Dennis G., additional, Greenberg, Jason H., additional, Wilson, Francis P., additional, and Parikh, Chirag R., additional

Published
2022
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32. Integrated single-cell sequencing and histopathological analyses reveal diverse injury and repair responses in a participant with acute kidney injury: a clinical-molecular-pathologic correlation

Author

Knight, Richard, Lecker, Stewart H., Stillman, Isaac, Bogen, Steve, Beck, Laurence H., Waikar, Sushrut, McMahon, Gearoid M., Weins, Astrid, Colona, Mia R., Hacohen, Nir, Hoover, Paul J., Aulisio, Mark, Bush, William S., Crawford, Dana C., O'toole, John, Poggio, Emilio, Sedor, John, Cooperman, Leslie, Jolly, Stacey, Herlitz, Leal, Nguyen, Jane, Gonzalez-Vicente, Agustin, Palmer, Ellen, Sendrey, Dianna, Vinovskis, Carissa, Bjornstad, Petter M., Appelbaum, Paul, Barasch, Jonathan M., Bomback, Andrew S., D'Agati, Vivette D., Kiryluk, Krzysztof, Mehl, Karla, Canetta, Pietro A., Shang, Ning, Balderes, Olivia, Kudose, Satoru, Bansal, Shweta, Alexandrov, Theodore, Rennke, Helmut, El-Achkar, Tarek M., Cheng, Yinghua, Dagher, Pierre C., Eadon, Michael T., Dunn, Kenneth W., Kelly, Katherine J., Sutton, Timothy A., Barwinska, Daria, Ferkowicz, Michael J., Winfree, Seth, Bledsoe, Sharon, Rivera, Marcelino, Williams, James C., Jr., Ferreira, Ricardo Melo, Parikh, Chirag R., Corona-Villalobos, Celia P., Menez, Steven, Rosenberg, Avi, Rosas, Sylvia E., Roy, Neil, Williams, Mark, Azeloglu, Evren U., He, Cijang, Iyengar, Ravi, Hansen, Jens, Xiong, Yuguang, Rovin, Brad, Parikh, Samir, Shapiro, John P., Anderton, Christopher R., Pasa-Tolic, Ljiljana, Velickovic, Dusan, Lukowski, Jessica, Oliver, George, Ardayfio, Joseph, Bebiak, Jack, Brown, Keith, Campbell, Catherine E., Saul, John, Shpigel, Anna, Stutzke, Christy, Koewler, Robert, Campbell, Taneisha, Hayashi, Lynda, Jefferson, Nichole, Roberts, Glenda V., Pinkeney, Roy, Troyanskaya, Olga, Sealfon, Rachel, Tuttle, Katherine R., Goltsev, Yury, Zhang, Kun, Lake, Blue B., Laszik, Zoltan G., Nolan, Garry, Boada, Patrick, Sarwal, Minnie, Sigdel, Tara, Lee, Paul J., Alloway, Rita R., Woodle, E. Steve, Ascani, Heather, Balis, Ulysses G.J., Hodgin, Jeffrey B., Kretzler, Matthias, Lienczewski, Chrysta, Mariani, Laura H., Menon, Rajasree, Steck, Becky, He, Yougqun, Otto, Edgar, Schaub, Jennifer, Blanc, Victoria M., Eddy, Sean, Conser, Ninive C., Luo, Jinghui, Palevsky, Paul M., Rosengart, Matthew, Kellum, John A., Hall, Daniel E., Randhawa, Parmjeet, Tublin, Mitchell, Murugan, Raghavan, Elder, Michele M., Winters, James, Alpers, Charles E., Blank, Kristina N., Carson, Jonas, De Boer, Ian H., Dighe, Ashveena L., Himmelfarb, Jonathan, Mooney, Sean D., Shankland, Stuart, Williams, Kayleen, Park, Christopher, Dowd, Frederick, McClelland, Robyn L., Daniel, Stephen, Hoofnagle, Andrew N., Wilcox, Adam, Grewenow, Stephanie M., Sharma, Kumar, Venkatachalam, Manjeri, Zhang, Guanshi, Pamreddy, Annapurna, Ye, Hongping, Montellano, Richard, Toto, Robert D., Vazquez, Miguel, Lee, Simon C., Miller, R. Tyler, Moe, Orson W., Torrealba, Jose, Wang, Nancy, Kermani, Asra, Sambandam, Kamalanathan, Park, Harold, Hedayati, S. Susan, Lu, Christopher Y., Jain, Sanjay, Vijayan, Anitha, Gaut, Joseph P., Moledina, Dennis, Wilson, Francis P., Ugwuowo, Ugochukwu, Arora, Tanima, and D’Agati, Vivette D.

Published
2022
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33. Designing and Assessing Online Learning in English Literary Studies

Author

Colbert, Benjamin, Miles, Rosie, Wilson, Francis, and Weeks, Hilary

Abstract

This article offers an account of online experimentation and innovation that has taken place in the English department of the University of Wolverhampton from 2003 to 2005. Focusing on an introductory first-year module and two third-year modules, it explores how and to what extent a virtual learning environment (VLE) can enhance the teaching of English literary studies in higher education. Using a "blended learning" model of English teaching, in which face-to-face and online teaching are integrated, the study examines how VLEs can be incorporated into a coordinated assessment regime within individual modules, and considers the strategies for implementing VLE assessment in a staged progression across an English programme. The authors argue that online activities need to be both integrated into English courses and assessed. When balanced properly, VLE work offers no "easy option" for students but effectively complements more traditional forms of assessment in English, such as essays and exams. (Contains 3 notes and 1 table.)

Published
2007
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35. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study

Author

Huang, Chenxi, Murugiah, Karthik, Mahajan, Shiwani, Li, Shu-Xia, Dhruva, Sanket S., Haimovich, Julian S., Wang, Yongfei, Schulz, Wade L., Testani, Jeffrey M., Wilson, Francis P., Mena, Carlos I., Masoudi, Frederick A., Rumsfeld, John S., Spertus, John A., Mortazavi, Bobak J., and Krumholz, Harlan M.

Subjects
Machine learning -- Usage, Acute kidney failure -- Complications and side effects -- Care and treatment, Postoperative complications -- Risk factors, Cardiac patients, Cardiology, Balloon angioplasty, Biological sciences
Abstract

Background The current acute kidney injury (AKI) risk prediction model for patients undergoing percutaneous coronary intervention (PCI) from the American College of Cardiology (ACC) National Cardiovascular Data Registry (NCDR) employed regression techniques. This study aimed to evaluate whether models using machine learning techniques could significantly improve AKI risk prediction after PCI. Methods and findings We used the same cohort and candidate variables used to develop the current NCDR CathPCI Registry AKI model, including 947,091 patients who underwent PCI procedures between June 1, 2009, and June 30, 2011. The mean age of these patients was 64.8 years, and 32.8% were women, with a total of 69,826 (7.4%) AKI events. We replicated the current AKI model as the baseline model and compared it with a series of new models. Temporal validation was performed using data from 970,869 patients undergoing PCIs between July 1, 2016, and March 31, 2017, with a mean age of 65.7 years; 31.9% were women, and 72,954 (7.5%) had AKI events. Each model was derived by implementing one of two strategies for preprocessing candidate variables (preselecting and transforming candidate variables or using all candidate variables in their original forms), one of three variable-selection methods (stepwise backward selection, lasso regularization, or permutation-based selection), and one of two methods to model the relationship between variables and outcome (logistic regression or gradient descent boosting). The cohort was divided into different training (70%) and test (30%) sets using 100 different random splits, and the performance of the models was evaluated internally in the test sets. The best model, according to the internal evaluation, was derived by using all available candidate variables in their original form, permutation-based variable selection, and gradient descent boosting. Compared with the baseline model that uses 11 variables, the best model used 13 variables and achieved a significantly better area under the receiver operating characteristic curve (AUC) of 0.752 (95% confidence interval [CI] 0.749-0.754) versus 0.711 (95% CI 0.708-0.714), a significantly better Brier score of 0.0617 (95% CI 0.0615-0.0618) versus 0.0636 (95% CI 0.0634-0.0638), and a better calibration slope of observed versus predicted rate of 1.008 (95% CI 0.988-1.028) versus 1.036 (95% CI 1.015-1.056). The best model also had a significantly wider predictive range (25.3% versus 21.6%, p < 0.001) and was more accurate in stratifying AKI risk for patients. Evaluated on a more contemporary CathPCI cohort (July 1, 2015-March 31, 2017), the best model consistently achieved significantly better performance than the baseline model in AUC (0.785 versus 0.753), Brier score (0.0610 versus 0.0627), calibration slope (1.003 versus 1.062), and predictive range (29.4% versus 26.2%). The current study does not address implementation for risk calculation at the point of care, and potential challenges include the availability and accessibility of the predictors. Conclusions Machine learning techniques and data-driven approaches resulted in improved prediction of AKI risk after PCI. The results support the potential of these techniques for improving risk prediction models and identification of patients who may benefit from risk-mitigation strategies., Author(s): Chenxi Huang 1, Karthik Murugiah 2, Shiwani Mahajan 1, Shu-Xia Li 1, Sanket S. Dhruva 3,4, Julian S. Haimovich 5, Yongfei Wang 1, Wade L. Schulz 1,6, Jeffrey M. [...]

Published
2018
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36. Pragmatic Randomized Trial Assessing the Impact of Digital Health Technology on Quality of Life in Patients With Congestive Heart Failure: Design and Rationale

Author

Victoria-Castro, Angela M., primary, Martin, Melissa, additional, Yamamoto, Yu, additional, Ahmad, Tariq, additional, Arora, Tanima, additional, Calderon, Frida, additional, Desai, Nihar, additional, Gerber, Brett, additional, Lee, Kyoung A., additional, Jacoby, Daniel, additional, Melchinger, Hannah, additional, Nguyen, Andrew, additional, Shaw, Melissa, additional, Simonov, Michael, additional, Williams, Alyssa, additional, Weinstein, Jason, additional, and Wilson, Francis P., additional

Published
2021
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37. Cadherin-11, Sparc-related modular calcium binding protein-2, and Pigment epithelium-derived factor are promising non-invasive biomarkers of kidney fibrosis

Author

Schmidt, Insa M., primary, Colona, Mia R., additional, Kestenbaum, Bryan R., additional, Alexopoulos, Leonidas G., additional, Palsson, Ragnar, additional, Srivastava, Anand, additional, Liu, Jing, additional, Stillman, Isaac E., additional, Rennke, Helmut G., additional, Vaidya, Vishal S., additional, Wu, Haojia, additional, Humphreys, Benjamin D., additional, Waikar, Sushrut S., additional, Knight, Richard, additional, Lecker, Stewart H., additional, Stillman, Isaac, additional, Bogen, Steve, additional, Amodu, Afolarin A., additional, Ilori, Titlayo, additional, Maikhor, Shana, additional, Schmidt, Insa M., additional, Beck, Laurence H., additional, Henderson, Joel M., additional, Onul, Ingrid, additional, Verma, Ashish, additional, McMahon, Gearoid M., additional, Valerius, M. Todd, additional, Waikar, Sushrut, additional, Weins, Astrid, additional, Greka, Anna, additional, Hacohen, Nir, additional, Hoover, Paul J., additional, Marshall, Jamie L., additional, Aulisio, Mark, additional, Chen, Yijiang M., additional, Janowczyk, Andrew, additional, Jayapandian, Catherine, additional, Viswanathan, Vidya S., additional, Bush, William S., additional, Crawford, Dana C., additional, Madabhushi, Anant, additional, Bush, Lakeshia, additional, Cooperman, Leslie, additional, Gonzalez-Vicente, Agustin, additional, Herlitz, Leal, additional, Jolly, Stacey, additional, Nguyen, Jane, additional, O’toole, John, additional, Palmer, Ellen, additional, Poggio, Emilio, additional, Sedor, John, additional, Sendrey, Dianna, additional, Spates-Harden, Kassandra, additional, Taliercio, Jonathan, additional, Bjornstad, Petter M., additional, Pyle, Laura, additional, Vinovskis, Carissa, additional, Appelbaum, Paul, additional, Balderes, Olivia, additional, Barasch, Jonathan M., additional, Bomback, Andrew S., additional, Canetta, Pietro A., additional, D’Agati, Vivette D., additional, Kiryluk, Krzysztof, additional, Kudose, Satoru, additional, Mehl, Karla, additional, Shang, Ning, additional, Bansal, Shweta, additional, Alexandrov, Theodore, additional, Rennke, Helmut, additional, El-Achkar, Tarek M., additional, Barwinska, Daria, additional, Bledso, Sharon, additional, Borner, Katy, additional, Bueckle, Andreas, additional, Cheng, Yinghua, additional, Dagher, Pierre C., additional, Dunn, Kenneth W., additional, Eadon, Michael T., additional, Ferkowicz, Michael J., additional, Herr, Bruce W., additional, Kelly, Katherine J., additional, Ferreira, Ricardo Melo, additional, Quardokus, Ellen M., additional, Record, Elizabeth, additional, Rivera, Marcelino, additional, Su, Jing, additional, Sutton, Timothy A., additional, Williams, James C., additional, Winfree, Seth, additional, Jain, Yashvardhan, additional, Menez, Steven, additional, Parikh, Chirag R., additional, Rosenberg, Avi, additional, Corona-Villalobos, Celia P., additional, Wen, Yumeng, additional, Johansen, Camille, additional, Rosas, Sylvia E., additional, Roy, Neil, additional, Sun, Jennifer, additional, Williams, Mark, additional, Azeloglu, Evren U., additional, Hansen, Jens, additional, He, Cijang, additional, Iyengar, Ravi, additional, Xiong, Yuguang, additional, Prasad, Pottumarthi, additional, Madhavan, Sethu M., additional, Parikh, Samir, additional, Rovin, Brad, additional, Shapiro, John P., additional, Anderton, Christopher R., additional, Lukowski, Jessica, additional, Pasa-Tolic, Ljiljana, additional, Velickovic, Dusan, additional, Oliver, George (Holt), additional, Ardayfio, Joseph, additional, Bebiak, Jack, additional, Brown, Keith, additional, Campbell, Taneisha, additional, Campbell, Catherine E., additional, Hayashi, Lynda, additional, Jefferson, Nichole, additional, Roberts, Glenda V., additional, Saul, John, additional, Shpigel, Anna, additional, Stutzke, Christy, additional, Koewler, Robert, additional, Pinkeney, Roy, additional, Sealfon, Rachel, additional, Troyanskaya, Olga, additional, Wong, Aaron, additional, Tuttle, Katherine R., additional, Pollack, Ari, additional, Goltsev, Yury, additional, Ginley, Brandon, additional, Lucarelli, Nicholas, additional, Lutnick, Brendon, additional, Sarder, Pinaki, additional, Lake, Blue B., additional, Zhang, Kun, additional, Boada, Patrick, additional, Laszik, Zoltan G., additional, Nolan, Garry, additional, Anjani, Kavya, additional, Sarwal, Minnie, additional, Mukatash, Tariq, additional, Sigdel, Tara, additional, Alloway, Rita R., additional, Burg, Ashley R., additional, Lee, Paul J., additional, Rike, Adele, additional, Shi, Tiffany, additional, Woodle, E. Steve, additional, Ascani, Heather, additional, Balis, Ulysses G.J., additional, Blanc, Victoria M., additional, Conser, Ninive C., additional, Eddy, Sean, additional, Frey, Renee, additional, He, Yougqun, additional, Hodgin, Jeffrey B., additional, Kretzler, Matthias, additional, Lienczewski, Chrysta, additional, Luo, Jinghui, additional, Mariani, Laura H., additional, Menon, Rajasree, additional, Otto, Edgar, additional, Schaub, Jennifer, additional, Steck, Becky, additional, Elder, Michele M., additional, Gilliam, Matthew, additional, Hall, Daniel E., additional, Murugan, Raghavan, additional, Palevsky, Paul M., additional, Randhawa, Parmjeet, additional, Rosengart, Matthew, additional, Tublin, Mitchell, additional, Vita, Tina, additional, Winters, James, additional, Kellum, John A., additional, Alpers, Charles E., additional, Berglund, Ashley, additional, Berry, Brooke, additional, Blank, Kristina N., additional, Carson, Jonas, additional, Daniel, Stephen, additional, De Boer, Ian H., additional, Dighe, Ashveena L., additional, Dowd, Frederick, additional, Grewenow, Stephanie M., additional, Himmelfarb, Jonathan, additional, Hoofnagle, Andrew N., additional, Limonte, Christine, additional, McClelland, Robyn L., additional, Mooney, Sean D., additional, Rezaei, Kasra, additional, Shankland, Stuart, additional, Snyder, Jamie, additional, Wang, Ruikang, additional, Wilcox, Adam, additional, Williams, Kayleen, additional, Park, Christopher, additional, Montellano, Richard, additional, Pamreddy, Annapurna, additional, Sharma, Kumar, additional, Venkatachalam, Manjeri, additional, Ye, Hongping, additional, Zhang, Guanshi, additional, Basit, Mujeeb, additional, Hedayati, S. Susan, additional, Kermani, Asra, additional, Lee, Simon C., additional, Lu, Christopher Y., additional, Miller, R. Tyler, additional, Moe, Orson W., additional, Patel, Jiten, additional, Pillai, Anil, additional, Sambandam, Kamalanathan, additional, Torrealba, Jose, additional, Toto, Robert D., additional, Vazquez, Miguel, additional, Wang, Nancy, additional, Wen, Natasha, additional, Zhang, Dianbo, additional, Park, Harold, additional, Caprioli, Richard M., additional, Patterson, Nathan, additional, Sharman, Kavya, additional, Spraggins, Jeffrey M., additional, Van de Plas, Raf, additional, Basta, Jeanine, additional, Diettman, Sabine M., additional, Gaut, Joseph P., additional, Jain, Sanjay, additional, Rauchman, Michael I., additional, Vijayan, Anitha, additional, Cantley, Lloyd G., additional, Kakade, Vijaykumar R., additional, Moledina, Dennis, additional, Shaw, Melissa M., additional, Ugwuowo, Ugochukwu, additional, Wilson, Francis P., additional, and Arora, Tanima, additional

Published
2021
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39. 1014-P: The Impact of Baseline A1C and Admission Glucose on Mortality among Patients with Diabetes Hospitalized with COVID-19

Author

BRANCALE, JOSEPH, primary, ATHONVARANGKUL, DIANA, additional, SIMONOV, MICHAEL, additional, ALAUSA, JAMEEL, additional, SUBAIR, LABEEBAH K., additional, HAJDUK, ALEXANDRA M., additional, KANG, YU MI, additional, ARORA, TANIMA, additional, WILSON, FRANCIS P., additional, JASTREBOFF, ANIA M., additional, and LIPSKA, KASIA J., additional

Published
2021
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40. Excessive Blood Pressure Response to Clonidine in Hospitalized Patients With Asymptomatic Severe Hypertension.

Author

Hanna, Jonathan, Ghazi, Lama, Yamamoto, Yu, Simonov, Michael, Shah, Tayyab, Wilson, Francis P, and Peixoto, Aldo J

Subjects
BLOOD pressure, ASYMPTOMATIC patients, CLONIDINE, DIASTOLIC blood pressure, HOSPITAL patients
Abstract

Background There are limited and nonconcordant data on the rapidity and safety of blood pressure response to clonidine in the setting of asymptomatic severe hypertension. We evaluated the blood pressure response to clonidine in hospitalized patients with asymptomatic severe hypertension. Methods We performed a review of hospitalized, noncritically ill patients receiving clonidine within 6 hours of developing asymptomatic severe hypertension (systolic blood pressure [SBP] >180 or diastolic blood pressure [DBP] >110 mm Hg in the absence of acute hypertension-mediated target organ damage). The incidence of mean arterial pressure (MAP) reduction by ≥30% at 4 hours after clonidine was the primary endpoint. Results We identified 200 relevant patient encounters (median age 63 years, 48.5% women). Median time to clonidine following asymptomatic severe hypertension was 2.8 hours. A total of 20 (10%) patients had ≥30% MAP reduction within 4 hours after clonidine, and 32 (16%) patients had ≥30% reduction in either SBP, DBP, or MAP. Older age, female sex, and preexisting vascular disease were associated with ≥30% MAP reductions (P < 0.05). Only patient sex and clonidine dose of 0.3 mg were significant in multivariable models. There were 14 adverse events observed within 24 hours of administration of clonidine; most (9) were acute kidney injury. There were no ischemic (myocardial, cerebrovascular) events. Conclusions A substantial minority of hospitalized patients with asymptomatic severe hypertension experience precipitous blood pressure decline with clonidine, and though blood pressure declines more precipitously in women and those receiving higher doses (0.3 mg specifically), the response to clonidine is generally not predictable on clinical grounds. [ABSTRACT FROM AUTHOR]

Published
2022
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42. Post-Operative Biomarkers and Risk of Chronic Kidney Disease After Cardiac Surgery: the TRIBE-AKI Study

Author

Menez, Steven, Moledina, Dennis G., Garg, Amit X., Thiessen-Philbrook, Heather, McArthur, Eric, Jia, Yaqi, Liu, Caroline, Obeid, Wassim, Mansour, Sherry G., Koyner, Jay L., Shlipak, Michael G., Wilson, Francis P., Coca, Steven G., and Parikh, Chirag R.

Subjects
Adult, Canada, Risk Factors, Disease Progression, Humans, Prospective Studies, Acute Kidney Injury, Cardiac Surgical Procedures, Renal Insufficiency, Chronic, Article, Biomarkers, United States, Glomerular Filtration Rate
Abstract

Patients undergoing cardiac surgery are placed under intense physiologic stress. Blood and urine biomarkers measured peri-operatively may help identify patients at higher risk for adverse long-term kidney outcomes. We sought to determine the independent associations of various biomarkers with development or progression of CKD following cardiac surgery. In this sub-study of the prospective cohort TRIBE AKI Study, we evaluated 613 adult patients undergoing cardiac surgery from 2007–2010 in Canada in our primary analysis. We tested the association of 40 blood and urinary biomarkers with the primary composite outcome of CKD incidence or progression. In those with baseline eGFR>60 mL/min/1.73m(2), we defined CKD incidence as a 25% reduction and eGFR

Published
2020

43. Acute Kidney Injury in Decompensated Cirrhosis Is Associated With Both Hypo‐coagulable and Hyper‐coagulable Features

Author

Zanetto, Alberto, primary, Rinder, Henry M., additional, Campello, Elena, additional, Saggiorato, Graziella, additional, Deng, Yanhong, additional, Ciarleglio, Maria, additional, Wilson, Francis P., additional, Senzolo, Marco, additional, Gavasso, Sabrina, additional, Bulato, Cristiana, additional, Simioni, Paolo, additional, and Garcia‐Tsao, Guadalupe, additional

Published
2020
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47. Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention

Author

Huang, Chenxi, primary, Li, Shu-Xia, additional, Mahajan, Shiwani, additional, Testani, Jeffrey M., additional, Wilson, Francis P., additional, Mena, Carlos I., additional, Masoudi, Frederick A., additional, Rumsfeld, John S., additional, Spertus, John A., additional, Mortazavi, Bobak J., additional, and Krumholz, Harlan M., additional

Published
2019
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48. Angiopoietins as Prognostic Markers for Future Kidney Disease and Heart Failure Events after Acute Kidney Injury

Author

Mansour, Sherry G., Bhatraju, Pavan K., Coca, Steven G., Obeid, Wassim, Wilson, Francis P., Stanaway, Ian B., Jia, Yaqi, Thiessen-Philbrook, Heather, Go, Alan S., Ikizler, T. Alp, Siew, Edward D., Chinchilli, Vernon M., Hsu, Chi-yuan, Garg, Amit X., Reeves, W. Brian, Liu, Kathleen D., Kimmel, Paul L., Kaufman, James S., Wurfel, Mark M., Himmelfarb, Jonathan, Parikh, Samir M., and Parikh, Chirag R.

Abstract

Mechanisms underlying long-term effects after AKI remain unclear. Because vessel instability is an early response to endothelial injury, the authors studied markers of blood vessel homeostasis (the plasma angiopoietins angiopoietin-1 and angiopoietin-2) in a multicenter prospective cohort that included 1503 adults, half of whom had AKI. Three months after hospitalization, the highest quartile of plasma angiopoietin-1:angiopoietin-2 ratio compared with the lowest quartile associated with 72% less risk of CKD progression, 94% less risk of heart failure, and 82% less risk of death among those with AKI; those without AKI exhibited similar but less pronounced reductions in risk of heart failure and mortality. Angiopoietins may serve as a common pathway to explain the progression of kidney and heart disease after AKI and may point to potential future interventions.

Published
2022
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49. Factors Associated With Death in Critically Ill Patients With Coronavirus Disease 2019 in the US

Author

Gupta, Shruti, Hayek, Salim S., Wang, Wei, Chan, Lili, Mathews, Kusum S., Melamed, Michal L., Brenner, Samantha K., Leonberg-Yoo, Amanda, Schenck, Edward J., Radbel, Jared, Reiser, Jochen, Bansal, Anip, Srivastava, Anand, Zhou, Yan, Sutherland, Anne, Green, Adam, Shehata, Alexandre M., Goyal, Nitender, Vijayan, Anitha, Velez, Juan Carlos Q., Shaefi, Shahzad, Parikh, Chirag R., Arunthamakun, Justin, Athavale, Ambarish M., Friedman, Allon N., Short, Samuel A. P., Kibbelaar, Zoe A., Abu Omar, Samah, Admon, Andrew J., Donnelly, John P., Gershengorn, Hayley B., Hernán, Miguel A., Semler, Matthew W., Leaf, David E., Walther, Carl P, Anumudu, Samaya J, Kopecky, Kathleen F, Milligan, Gregory P, McCullough, Peter A, Nguyen, Thuy-Duyen, Krajewski, Megan L, Shankar, Sidharth, Pannu, Ameeka, Valencia, Juan D, Waikar, Sushrut S, Hart, Peter, Ajiboye, Oyintayo, Itteera, Matthew, Rachoin, Jean-Sebastien, Schorr, Christa A, Shea, Lisa, Edmonston, Daniel L, Mosher, Christopher L, Karp, Aaron, Cohen, Zaza, Allusson, Valerie, Bambrick-Santoyo, Gabriela, Bhatti, Noor ul aain, Mehta, Bijal, Williams, Aquino, Walters, Patricia, Go, Rolando C, Rose, Keith M, Zhou, Amy M, Kim, Ethan C, Lisk, Rebecca, Coca, Steven G, Altman, Deena R, Saha, Aparna, Soh, Howard, Wen, Huei Hsun, Bose, Sonali, Leven, Emily A, Wang, Jing G, Mosoyan, Gohar, Nadkarni, Girish N, Guirguis, John, Kapoor, Rajat, Meshberger, Christopher, Garibaldi, Brian T, Corona-Villalobos, Celia P, Wen, Yumeng, Menez, Steven, Malik, Rubab F, Cervantes, Carmen Elena, Gautam, Samir C, Nguyen, H Byrant, Ahoubim, Afshin, Thomas, Leslie F, Sirganagari, Dheeraj Reddy, Guru, Pramod K, Bergl, Paul A, Rodriguez, Jesus, Shah, Jatan A, Gupta, Mrigank S, Kumar, Princy N, Lazarous, Deepa G, Kassaye, Seble G, Johns, Tanya S, Mocerino, Ryan, Prudhvi, Kalyan, Zhu, Denzel, Levy, Rebecca V, Azzi, Yorg, Fisher, Molly, Yunes, Milagros, Sedaliu, Kaltrina, Golestaneh, Ladan, Brogan, Maureen, Raichoudhury, Ritesh, Cho, Soo Jung, Plataki, Maria, Alvarez-Mulett, Sergio L, Gomez-Escobar, Luis G, Pan, Di, Lee, Stefi, Kirshnan, Jamuna, Whalen, William, Charytan, David, Macina, Ashley, Ross, Daniel W, Leidner, Alexander S, Martinez, Carlos, Kruser, Jacqueline M, Wunderink, Richard G, Hodakowski, Alexander J, Price-Haywood, Eboni G, Matute-Trochez, Luis A, Hasty, Anne E, Mohamed, Muner MB, Avasare, Rupali S, Zonies, David, Baron, Rebecca M, Sise, Meghan E, Newman, Erik T, Pokharel, Kapil K, Sharma, Shreyak, Singh, Harkarandeep, Correa, Simon, Shaukat, Tanveer, Kamal, Omer, Yang, Heather, Boateng, Jeffery O, Lee, Meghan, Strohbehn, Ian A, Li, Jiahua, Muhsin, Saif A, Mandel, Ernest I, Mueller, Ariel L, Cairl, Nicholas S, Rowan, Chris, Madhai-Lovely, Farah, Peev, Vasil, Byun, John J, Vissing, Andrew, Kapania, Esha M, Post, Zoe, Patel, Nilam P, Hermes, Joy-Marie, Patrawalla, Amee, Finkel, Diana G, Danek, Barbara A, Arikapudi, Sowminya, Paer, Jeffery M, Puri, Sonika, Sunderram, Jag, Scharf, Matthew T, Ahmed, Ayesha, Berim, Ilya, Hussain, Sabiha, Anand, Shuchi, Levitt, Joseph E, Garcia, Pablo, Boyle, Suzanne M, Song, Rui, Zhang, Jingjing, Sharshir, Mohd A, Rusnak, Vadym V, Podoll, Amber S, Chonchol, Michel, Sharma, Sunita, Burnham, Ellen L, Rashidi, Arash, Hejal, Rana, Judd, Erik T, Latta, Laura, Tolwani, Ashita, Albertson, Timothy E, Adams, Jason Y, Chang, Steven Y, Beutler, Rebecca M, Schulze, Carl E, Macedo, Etienne, Rhee, Harin, Liu, Kathleen D, Jotwani, Vasantha K, Koyner, Jay L, Shah, Chintan V, Jaikaransingh, Vishal, Toth-Manikowski, Stephanie M, Joo, Min J, Lash, James P, Neyra, Javier A, Chaaban, Nourhan, Iardino, Alfredo, Au, Elizabeth H, Sharma, Jill H, Sosa, Marie Anne, Taldone, Sabrina, Contreras, Gabriel, Zerda, David De La, Blakely, Pennelope, Berlin, Hanna, Azam, Tariq U, Shadid, Husam, Pan, Michael, OHayer, Patrick, Meloche, Chelsea, Feroze, Rafey, Padalia, Kishan J, Bitar, Abbas, Flythe, Jennifer E, Tugman, Matthew J, Brown, Brent R, Spiardi, Ryan C, Miano, Todd A, Roche, Meaghan S, Vasquez, Charles R, Bansal, Amar D, Ernecoff, Natalie C, Kovesdy, Csaba P, Molnar, Miklos Z, Azhar, Ambreen, Hedayati, Susan S, Nadamuni, Mridula V, Khan, Sadaf S, Willett, Duwayne L, Renaghan, Amanda D, Bhatraju, Pavan K, Malik, Bilal A, Joy, Christina Mariyam, Li, Tingting, Goldberg, Seth, Kao, Patricia F, Schumaker, Greg L, Faugno, Anthony J, Hsu, Caroline M, Tariq, Asma, Meyer, Leah, Weiner, Daniel E, Christov, Marta, Wilson, Francis P, Arora, Tanima, and Ugwuowo, Ugochukwu

Subjects
medicine.medical_specialty, business.industry, 010102 general mathematics, Organ dysfunction, Odds ratio, medicine.disease, 01 natural sciences, Intensive care unit, Comorbidity, law.invention, 03 medical and health sciences, 0302 clinical medicine, Interquartile range, law, Intensive care, Internal medicine, Internal Medicine, Medicine, 030212 general & internal medicine, 0101 mathematics, medicine.symptom, business, Body mass index, Cohort study
Abstract

Importance: The US is currently an epicenter of the coronavirus disease 2019 (COVID-19) pandemic, yet few national data are available on patient characteristics, treatment, and outcomes of critical illness from COVID-19. Objectives: To assess factors associated with death and to examine interhospital variation in treatment and outcomes for patients with COVID-19. Design, Setting, and Participants: This multicenter cohort study assessed 2215 adults with laboratory-confirmed COVID-19 who were admitted to intensive care units (ICUs) at 65 hospitals across the US from March 4 to April 4, 2020. Exposures: Patient-level data, including demographics, comorbidities, and organ dysfunction, and hospital characteristics, including number of ICU beds. Main Outcomes and Measures: The primary outcome was 28-day in-hospital mortality. Multilevel logistic regression was used to evaluate factors associated with death and to examine interhospital variation in treatment and outcomes. Results: A total of 2215 patients (mean [SD] age, 60.5 [14.5] years; 1436 [64.8%] male; 1738 [78.5%] with at least 1 chronic comorbidity) were included in the study. At 28 days after ICU admission, 784 patients (35.4%) had died, 824 (37.2%) were discharged, and 607 (27.4%) remained hospitalized. At the end of study follow-up (median, 16 days; interquartile range, 8-28 days), 875 patients (39.5%) had died, 1203 (54.3%) were discharged, and 137 (6.2%) remained hospitalized. Factors independently associated with death included older age (≥80 vs

Published
2020

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