185 results on '"Grivoyannis, A"'
Search Results
2. A survey of the global impact of COVID‐19 on the practice of pediatric anesthesia: A study from the pediatric anesthesia COVID‐19 Collaborative Group
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Soneru, Codruta N, Fernandez, Allison M, Bradford, Victoria, Staffa, Steven J, Raman, Vidya T, Cravero, Joseph, Zurakowski, David, Meier, Petra M, Balakrishnan, Sindu, Bansal, Vipin, Torres, Angela Becerra, Beethe, Amy, Benzon, Hubert A, Bhandari, Angelina, Bocanegra, Ashley, Bould, Dylan, Peterson, Melissa Brooks, Brzenski, Alyssa, Busso, Veronica, Cain, James G, Cassidy, Myles, Cheon, Eric C, Chhabada, Surendrasingh, Correll, Lynnie R, Dalesio, Nicholas M, Davidson, Andrew, Derderian, Courtney, Dhumak, Vipul, Disma, Nicola, D'Mello, Ajay, Echeverry, Piedad, Ellison, Pavithra R, Erb, Thomas, Fajardo, Angelica, Falcon, Ricardo J, Frugoni, Brian, García, Javier, Giraldo, Olga Lucía, Glover, Chris D, Goeller, Jessica, Goobie, Susan M, Gooch, Ingrid, Granados, Lina Maria, Grivoyannis, Anastasia, Guruswamy, Velu, Hesselink, Emily, Hobbs, Jill, Hunyady, Agnes, Jain, Ranu, Jorge‐Reynolds, Lydia, Kato, Meredith A, King, Michael R, Kitzman, Jamie, Koh, Jeffrey, Lester, Andy, Lorinc, Amanda, Lozano, Constanza, Manupipatpong, Katherine, Matava, Clyde, McLuckie, Duncan, Merchant, Kanwal, Levy, Heather Mitzel, Muldowney, Bridget L, Navarro, Julian Andres, Nelson, Jonathon, Patel, Amish, Patel, Roshan, Ravula, Niroop, Reddy, Desigen, Reddy, Srijaya K, McCormick, Megan Rodgers, Roque, Remigio, Rosen, David, Beel, Elizabeth Rossmann, Rothschild, Leelach, Sarmiento, Lina, Shadrina, Anna, Shaw, Robert, Sheth, Michelle, Simpao, Allan F, Singh, Neeta, Smith, Timothy E, Soria, Claire, Szmuk, Peter, Taicher, Brad M, Tan, Gee Mei, Teng, Howard, Edala, Thejovathi, Tighe, Nathaniel, Tom, Simon, Trujillo, Alexander, Vishneski, Susan R, Vivas, Juan Pablo, Von Samek, Adam, von Ungern‐Sternberg, Britta S, Whyte, Simon, and Wilder, Robert T
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Clinical Research ,Patient Safety ,Pediatric ,Generic health relevance ,Good Health and Well Being ,Anesthesia ,Anesthesiologists ,Anesthesiology ,COVID-19 ,COVID-19 Testing ,Child ,Humans ,Pandemics ,Pediatricians ,Pediatrics ,Personal Protective Equipment ,Practice Guidelines as Topic ,Practice Patterns ,Physicians' ,SARS-CoV-2 ,Societies ,Medical ,Surveys and Questionnaires ,United States ,hospital economics ,pediatric anesthesia ,personal protective equipment ,preoperative testing ,simulation ,Pediatric Anesthesia COVID-19 Collaborative ,Paediatrics and Reproductive Medicine - Abstract
BackgroundPediatric anesthesiology has been greatly impacted by COVID-19 in the delivery of care to patients and to the individual providers. With this study, we sought to survey pediatric centers and highlight the variations in care related to perioperative medicine during the COVID-19 pandemic, including the availability of protective equipment, the practice of pediatric anesthesia, and economic impact.AimThe aim of the survey was to determine how COVID-19 directly impacted pediatric anesthesia practices during the study period.MethodsA survey concerning four major domains (testing, safety, clinical management/policy, economics) was developed. It was pilot tested for clarity and content by members of the Pediatric Anesthesia COVID-19 Collaborative. The survey was administered by email to all Pediatric Anesthesia COVID-19 Collaborative members on September 1, 2020. Respondents had six weeks to complete the survey and were instructed to answer the questions based on their institution's practice during September 1 - October 13, 2020.ResultsSixty-three institutions (100% response rate) participated in the COVID-19 Pediatric Anesthesia Survey. Forty-one hospitals (65%) were from the United States, and 35% included other countries. N95 masks were available to anesthesia teams at 91% of institutions (n = 57) (95% CI: 80%-96%). COVID-19 testing criteria of anesthesia staff and guidelines to return to work varied by institution. Structured simulation training aimed at improving COVID-19 safety and patient care occurred at 62% of institutions (n = 39). Pediatric anesthesiologists were economically affected by a reduction in their employer benefits and restriction of travel due to employer imposed quarantine regulations.ConclusionOur data indicate that the COVID-19 pandemic has impacted the testing, safety, clinical management, and economics of pediatric anesthesia practice. Further investigation into the long-term consequences for the specialty is indicated.
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- 2021
3. Vigilance: the behavioral impact of quantitative monitoring on administration and antagonism of neuromuscular blocking agents
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Grivoyannis, Anastasia D., Tangel, Virginia, and Lien, Cynthia A.
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- 2022
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4. Prevalence of COVID-19 and Risk Factors for Infection Among Pediatric Anesthesia Patients: A Report From the PEACOC Research Network
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Kato, Meredith A., Zurakowski, David, Adams, AmandaMarie, Soelberg, Julie, Staffa, Steven J., Bradford, Victoria A., Efune, Proshad N., Rodgers McCormick, Megan E., Grivoyannis, Anastasia D., Rossmann Beel, Elizabeth, Correll, Lynnie R., Cheon, Eric C., Tan, Gee Mei, Thomas, James J., Fernandez, Allison M., Teng, Howard C., Khanna, Neha, Raman, Vidya T., Brzenski, Alyssa B., Frugoni, Brian J., Sheth, Michelle M., Rugnath, Rahil M., and Meier, Petra M.
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- 2023
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5. Introduction: International Integration of the Brazilian Economy from Local Perspectives
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Grivoyannis, Elias C. and Grivoyannis, Elias C., editor
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- 2019
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6. Global Implications of International Integration of the Brazilian Economy
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Grivoyannis, Elias C. and Grivoyannis, Elias C., editor
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- 2019
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7. List of Contributors
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Adler, Adam C., primary, Ambardekar, Aditee P., additional, Balamuth, Naomi, additional, Berman, Alexandra, additional, Bhalla, Tarun, additional, Boyer, Donald L., additional, Costandi, Andrew J., additional, Daigle, C. Hunter, additional, Dodson, Gregory, additional, Feldman, Jeffrey M., additional, Fiadjoe, John E., additional, Foster, Jessica, additional, Gallagher, Susan, additional, Jay Garcia, F., additional, Girard, Thierry, additional, Grivoyannis, Anastasia D., additional, Gurnaney, Harshad, additional, Habib, Fatimah, additional, Hsu, Grace, additional, Hunter, Samuel, additional, Isserman, Rebecca S., additional, Jones, Jeremy, additional, Jemma Kang, Ji Yeon, additional, King, Michael R., additional, Wickam Kraemer, F., additional, E. Linder, Grace, additional, Litman, Ronald S., additional, Loh, Katherine H., additional, Mamula, Petar, additional, Garcia-Marcinikiewicz, Annery, additional, Maxwell, Lynne G., additional, Muhly, Wallis T., additional, Nelson, Olivia, additional, Nookala, Asha, additional, Olbrecht, Vanessa A., additional, Patel, Shikha, additional, Perate, Alison, additional, Petrini, Laura A., additional, Pinyavat, Teeda, additional, Renuart, Andrew, additional, Rheingold, Susan R., additional, Rosenblatt, Samuel, additional, Rosenbloom, Julia, additional, Ryan, William, additional, Sesok-Pizzini, Deborah Ann, additional, Setiawan, Christopher, additional, Simpao, Allan F., additional, Stricker, Paul A., additional, Weintraub, Ari Y., additional, Witmer, Char M., additional, Zaoutis, Theoklis, additional, and Zur, Karen B., additional
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- 2022
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8. A Historical Background of Brazil’s Economy
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Grivoyannis, Elias C. and Grivoyannis, Elias C., editor
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- 2017
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9. 101.37 Proof Without Words : The birth of a square (or two)
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GRIVOYANNIS, B. and VIGLIONE, R.
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- 2017
10. International Integration of the Brazilian Economy
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Elias C. Grivoyannis
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- 2019
11. Machine Learning Applied to Registry Data: Development of a Patient-Specific Prediction Model for Blood Transfusion Requirements During Craniofacial Surgery Using the Pediatric Craniofacial Perioperative Registry Dataset
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Jalali, Ali, Lonsdale, Hannah, Zamora, Lillian V., Ahumada, Luis, Nguyen, Anh Thy H., Rehman, Mohamed, Fackler, James, Stricker, Paul A., Fernandez, Allison M., Abruzzese, Christopher, Apuya, Jesus, Bhandari, Angelina, Beethe, Amy, Benzon, Hubert, Binstock, Wendy, Bradford, Victoria, Brzenski, Alyssa, Budac, Stefan, Busso, Veronica, Chhabada, Surendrasingh, Chiao, Franklin, Cladis, Franklyn, Claypool, Danielle, Collins, Michael, Correll, Lynnie, Costandi, Andrew, Dabek, Rachel, Dalesio, Nicholas, Echeverry, Piedad, Falcon, Ricardo, Fernandez, Patrick, Fiadjoe, John, Gangadharan, Meera, Gentry, Katherine, Glover, Chris, Goobie, Susan M., Gosman, Amanda, Grivoyannis, Anastasia, Grap, Shannon, Gries, Heike, Griffin, Allison, Hajduk, John, Haas, Thorsten, Hall, Rebecca, Hansen, Jennifer, Hetmaniuk, Mali, Homi, H. Mayumi, Hsieh, Vincent, Huang, Henry, Ingelmo, Pablo, Ivanova, Iskra, Jain, Ranu, Kanmanthreddy, Siri, Kars, Michelle, King, Mike, Koller, John, Kowalczyk-Derderian, Courtney, Kugler, Jane, Labovsky, Kristen, Lakheeram, Indrani, Lazar, Alina, Lee, Andrew, Lee, Jennifer, Luis Martinez, Jose, Masel, Brian, Mason, Aaron, Medellin, Eduardo, Mehta, Vivek, Meier, Petra, Mitzel Levy, Heather, Muhly, Wallis T., Muldowney, Bridget, Nelson, Jonathon, Nicholson, Julie, Nguyen, Kim-Phuong, Nguyen, Thanh, Owens-Stubblefield, Margaret, Pankratz, Matt, Ramesh Parekh, Uma, Patel, Jasmine, Patel, Roshan, Perez-Pradilla, Carolina, Petersen, Timothy, Post, Julian, Poteet-Schwartz, Kim, Ranganathan, Pavithra, Reddy, Srijaya, Reid, Russell, Ricketts, Karene, Rodgers McCormick, Megan, Ryan, Laura, Sbrollini, Kaitlyn, Seidman, Peggy, Singh, Davinder, Singhal, Neil R., Skitt, Rochelle, Soneru, Codruta, Sorial, Emad, Spitznagel, Rachel, Stubbeman, Bobbie, Sunder, Rani, Sung, Wai, Syed, Tariq, Szmuk, Peter, Taicher, Brad M., Taylor, Jenna, Thompson, Douglas, Tretault, Lisa, Ungar-Kastner, Galit, Wieser, John, Wong, Karen, and Yates, Hannah
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- 2021
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12. Optimizing Transfusion-Related Postoperative Outcomes in Craniosynostosis Repair
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Hillary E. Jenny, MD, MPH, Waverley Y. He, BA, Mya Abousy, BA, Anastasia Grivoyannis, MD, Jordan P. Steinberg, MD, PhD, FACS, FAAP, Richard J. Redett, MD, Robin Yang, MD, and Nicholas Dalesio, MD
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Surgery ,RD1-811 - Published
- 2020
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13. International Implications of China’s Transition into an Open Market Economy
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Grivoyannis, Elias C. and Grivoyannis, Elias C., editor
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- 2012
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14. A Historical Background of China’s Economy and Lessons from Its Globalization
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Grivoyannis, Elias C. and Grivoyannis, Elias C., editor
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- 2012
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15. The New Brazilian Economy: Dynamic Transitions into the Future
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Elias C. Grivoyannis, Elias C. Grivoyannis
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- 2016
16. 99.11 Proof without words: A problem on three squares
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GRIVOYANNIS, B. and VIGLIONE, R.
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- 2015
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17. Haematological consequences of acute uncomplicated falciparum malaria: a WorldWide Antimalarial Resistance Network pooled analysis of individual patient data
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Mansoor, Rashid, Commons, Robert J, Douglas, Nicholas M, Abuaku, Benjamin, Achan, Jane, Adam, Ishag, Adjei, George O, Adjuik, Martin, Alemayehu, Bereket H, Allan, Richard, Allen, Elizabeth N, Anvikar, Anupkumar R, Arinaitwe, Emmanuel, Ashley, Elizabeth A, Ashurst, Hazel, Asih, Puji BS, Bakyaita, Nathan, Barennes, Hubert, Barnes, Karen I, Basco, Leonardo, Bassat, Quique, Baudin, Elisabeth, Bell, David J, Bethell, Delia, Bjorkman, Anders, Boulton, Caroline, Bousema, Teun, Brasseur, Philippe, Bukirwa, Hasifa, Burrow, Rebekah, Carrara, Verena I, Cot, Michel, D'Alessandro, Umberto, Das, Debashish, Das, Sabyasachi, Davis, Timothy ME, Desai, Meghna, Djimde, Abdoulaye A, Dondorp, Arjen M, Dorsey, Grant, Drakeley, Chris J, Duparc, Stephan, Espie, Emmanuelle, Etard, Jean-Francois, Falade, Catherine, Faucher, Jean Francois, Filler, Scott, Fogg, Carole, Fukuda, Mark, Gaye, Oumar, Genton, Blaise, Rahim, Awab Ghulam, Gilayeneh, Julius, Gonzalez, Raquel, Grais, Rebecca F, Grandesso, Francesco, Greenwood, Brian, Grivoyannis, Anastasia, Hatz, Christoph, Hodel, Eva Maria, Humphreys, Georgina S, Hwang, Jimee, Ishengoma, Deus, Juma, Elizabeth, Kachur, S Patrick, Kager, Piet A, Kamugisha, Erasmus, Kamya, Moses R, Karema, Corine, Kayentao, Kassoum, Kazienga, Adama, Kiechel, Jean-Rene, Kofoed, Poul-Erik, Koram, Kwadwo, Kremsner, Peter G, Lalloo, David G, Laman, Moses, Lee, Sue J, Lell, Bertrand, Maiga, Amelia W, Martensson, Andreas, Mayxay, Mayfong, Mbacham, Wilfred, McGready, Rose, Menan, Herve, Menard, Didier, Mockenhaupt, Frank, Moore, Brioni R, Muller, Olaf, Nahum, Alain, Ndiaye, Jean-Louis, Newton, Paul N, Ngasala, Billy E, Nikiema, Frederic, Nji, Akindeh M, Noedl, Harald, Nosten, Francois, Ogutu, Bernhards R, Ojurongbe, Olusola, Osorio, Lyda, Ouedraogo, Jean-Bosco, Owusu-Agyei, Seth, Pareek, Anil, Penali, Louis K, Piola, Patrice, Plucinski, Mateusz, Premji, Zul, Ramharter, Michael, Richmond, Caitlin L, Rombo, Lars, Rosenthal, Philip J, Salman, Sam, Same-Ekobo, Albert, Sibley, Carol, Sirima, Sodiomon B, Smithuis, Frank M, Some, Fabrice A, Staedke, Sarah G, Starzengruber, Peter, Strub-Wourgaft, Nathalie, Sutanto, Inge, Swarthout, Todd D, Syafruddin, Din, Talisuna, Ambrose O, Taylor, Walter R, Temu, Emmanuel A, Thwing, Julie I, Tinto, Halidou, Tjitra, Emiliana, Toure, Offianan A, Tran, T Hien, Ursing, Johan, Valea, Innocent, Valentini, Giovanni, van Vugt, Michele, von Seidlein, Lorenz, Ward, Stephen A, Were, Vincent, White, Nicholas J, Woodrow, Charles J, Yavo, William, Yeka, Adoke, Zongo, Issaka, Simpson, Julie A, Guerin, Philippe J, Stepniewska, Kasia, Price, Ric N, Roper, Cally, Resistance, WorldWide Antimalarial, WorldWide Antimalarial Resistance Network Falciparum Haematology Study Group, Vecteurs - Infections tropicales et méditerranéennes (VITROME), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge] (IRBA), Epidémiologie des Maladies Chroniques en zone tropicale (EpiMaCT), CHU Limoges-Institut d'Epidémiologie Neurologique et de Neurologie Tropicale-Institut National de la Santé et de la Recherche Médicale (INSERM)-OmégaHealth (ΩHealth), Université de Limoges (UNILIM)-Université de Limoges (UNILIM), Group, WorldWide Antimalarial Resistance Network Falciparum Haematology Study, Mansoor, R, Ashley, EA, Ashurst, H, Burrow, R, Carrara, VI, Das, D, Dondorp, AM, Humphreys, GS, Lee, SJ, Mayxay, M, McGready, R, Newton, PN, Nosten, F, Richmond, CL, Sibley, C, Smithuis, FM, Taylor, WR, Tran, TH, von Seidlein, L, White, NJ, Woodrow, CJ, Guerin, PJ, Stepniewska, K, Price, RN, AII - Infectious diseases, Intensive Care Medicine, Infectious diseases, APH - Global Health, and APH - Quality of Care
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Infectious Medicine ,Plasmodium falciparum ,wh_120 ,Infektionsmedicin ,Severe anaemia ,Parasitemia ,wa_530 ,Antimalarials ,Non-artemisinin-based therapy ,[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system ,[SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases ,parasitic diseases ,qv_256 ,Humans ,[SDV.MP.PAR]Life Sciences [q-bio]/Microbiology and Parasitology/Parasitology ,Malaria, Falciparum ,Child ,[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases ,Pooled analysis of individual patient data ,Anemia ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,Artemisinin-based therapy ,[SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology ,Malaria ,wc_750 ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4] ,[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology ,Haemoglobin - Abstract
Background Plasmodium falciparum malaria is associated with anaemia-related morbidity, attributable to host, parasite and drug factors. We quantified the haematological response following treatment of uncomplicated P. falciparum malaria to identify the factors associated with malarial anaemia. Methods Individual patient data from eligible antimalarial efficacy studies of uncomplicated P. falciparum malaria, available through the WorldWide Antimalarial Resistance Network data repository prior to August 2015, were pooled using standardised methodology. The haematological response over time was quantified using a multivariable linear mixed effects model with nonlinear terms for time, and the model was then used to estimate the mean haemoglobin at day of nadir and day 7. Multivariable logistic regression quantified risk factors for moderately severe anaemia (haemoglobin < 7 g/dL) at day 0, day 3 and day 7 as well as a fractional fall ≥ 25% at day 3 and day 7. Results A total of 70,226 patients, recruited into 200 studies between 1991 and 2013, were included in the analysis: 50,859 (72.4%) enrolled in Africa, 18,451 (26.3%) in Asia and 916 (1.3%) in South America. The median haemoglobin concentration at presentation was 9.9 g/dL (range 5.0–19.7 g/dL) in Africa, 11.6 g/dL (range 5.0–20.0 g/dL) in Asia and 12.3 g/dL (range 6.9–17.9 g/dL) in South America. Moderately severe anaemia (Hb < 7g/dl) was present in 8.4% (4284/50,859) of patients from Africa, 3.3% (606/18,451) from Asia and 0.1% (1/916) from South America. The nadir haemoglobin occurred on day 2 post treatment with a mean fall from baseline of 0.57 g/dL in Africa and 1.13 g/dL in Asia. Independent risk factors for moderately severe anaemia on day 7, in both Africa and Asia, included moderately severe anaemia at baseline (adjusted odds ratio (AOR) = 16.10 and AOR = 23.00, respectively), young age (age < 1 compared to ≥ 12 years AOR = 12.81 and AOR = 6.79, respectively), high parasitaemia (AOR = 1.78 and AOR = 1.58, respectively) and delayed parasite clearance (AOR = 2.44 and AOR = 2.59, respectively). In Asia, patients treated with an artemisinin-based regimen were at significantly greater risk of moderately severe anaemia on day 7 compared to those treated with a non-artemisinin-based regimen (AOR = 2.06 [95%CI 1.39–3.05], p < 0.001). Conclusions In patients with uncomplicated P. falciparum malaria, the nadir haemoglobin occurs 2 days after starting treatment. Although artemisinin-based treatments increase the rate of parasite clearance, in Asia they are associated with a greater risk of anaemia during recovery.
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- 2022
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18. The Simulation Model
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Sato, Ryuzo, Grivoyannis, Elias, Byrne, Barbara, Lian, Chengping, Ramachandran, Rama V., editor, Sato, Ryuzo, editor, Grivoyannis, Elias, Byrne, Barbara, and Lian, Chengping
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- 1997
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19. Simulation Results
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Sato, Ryuzo, Grivoyannis, Elias, Byrne, Barbara, Lian, Chengping, Ramachandran, Rama V., editor, Sato, Ryuzo, editor, Grivoyannis, Elias, Byrne, Barbara, and Lian, Chengping
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- 1997
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20. Alternate Set of Assumptions
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Sato, Ryuzo, Grivoyannis, Elias, Byrne, Barbara, Lian, Chengping, Ramachandran, Rama V., editor, Sato, Ryuzo, editor, Grivoyannis, Elias, Byrne, Barbara, and Lian, Chengping
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- 1997
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21. Trends in Health Care Expenditures and Financing
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Sato, Ryuzo, Grivoyannis, Elias, Byrne, Barbara, Lian, Chengping, Ramachandran, Rama V., editor, Sato, Ryuzo, editor, Grivoyannis, Elias, Byrne, Barbara, and Lian, Chengping
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- 1997
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22. Our Approach to the Problem
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Sato, Ryuzo, Grivoyannis, Elias, Byrne, Barbara, Lian, Chengping, Ramachandran, Rama V., editor, Sato, Ryuzo, editor, Grivoyannis, Elias, Byrne, Barbara, and Lian, Chengping
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- 1997
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23. Demographic Changes in Japan and the United States
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Sato, Ryuzo, Grivoyannis, Elias, Byrne, Barbara, Lian, Chengping, Ramachandran, Rama V., editor, Sato, Ryuzo, editor, Grivoyannis, Elias, Byrne, Barbara, and Lian, Chengping
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- 1997
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24. Health Care Services Utilization Profiles Among the Elderly
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Sato, Ryuzo, Grivoyannis, Elias, Byrne, Barbara, Lian, Chengping, Ramachandran, Rama V., editor, Sato, Ryuzo, editor, Grivoyannis, Elias, Byrne, Barbara, and Lian, Chengping
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- 1997
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25. Paternalism in Health Care for the Elderly
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Sato, Ryuzo, Grivoyannis, Elias, Byrne, Barbara, Lian, Chengping, Ramachandran, Rama V., editor, Sato, Ryuzo, editor, Grivoyannis, Elias, Byrne, Barbara, and Lian, Chengping
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- 1997
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26. Overview
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Sato, Ryuzo, Grivoyannis, Elias, Byrne, Barbara, Lian, Chengping, Ramachandran, Rama V., editor, Sato, Ryuzo, editor, Grivoyannis, Elias, Byrne, Barbara, and Lian, Chengping
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- 1997
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27. Concluding Remarks and Policy Recommendations
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Sato, Ryuzo, Grivoyannis, Elias, Byrne, Barbara, Lian, Chengping, Ramachandran, Rama V., editor, Sato, Ryuzo, editor, Grivoyannis, Elias, Byrne, Barbara, and Lian, Chengping
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- 1997
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28. Prevalence of COVID-19 and Risk Factors for Infection Among Pediatric Anesthesia Patients: A Report From the PEACOC Research Network
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Meredith A. Kato, David Zurakowski, AmandaMarie Adams, Julie Soelberg, Steven J. Staffa, Victoria A. Bradford, Proshad N. Efune, Megan E. Rodgers McCormick, Anastasia D. Grivoyannis, Elizabeth Rossmann Beel, Lynnie R. Correll, Eric C. Cheon, Gee Mei Tan, James J. Thomas, Allison M. Fernandez, Howard C. Teng, Neha Khanna, Vidya T. Raman, Alyssa B. Brzenski, Brian J. Frugoni, Michelle M. Sheth, Rahil M. Rugnath, and Petra M. Meier
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Anesthesiology and Pain Medicine - Abstract
The Pediatric Anesthesia COVID-19 Collaborative (PEACOC) is a research network to advance the care of children during the pandemic. Here we calculate the prevalence of coronavirus disease 2019 (COVID-19) among children undergoing anesthesia, look at prevalence in the population data from the Centers for Disease Control and Prevention (CDC), and assess independent risk factors for infection.This was a multicenter, retrospective, observational study. Children aged 28 days to 18 years scheduled for anesthesia services at 12 centers requiring universal COVID-19 testing from March 29, 2020 to June 30, 2020 were included. COVID-19 positivity rates among those tested were plotted and trends were assessed using the Cochran Armitage test of trend. Independent risk factors were explored using multivariable logistic regression.Data were collected and analyzed on 33,320 anesthesia encounters including 265 children with COVID-19. Over the study period, the rates of infections in the pediatric anesthesia population did not demonstrate a significant trend. In the general population, there was a significant downward trend in infection rates (P.001). In exploratory analysis, multivariable risk factors for a COVID-19 positive test were Black/African American race, Hispanic ethnicity, American Society of Anesthesiologists (ASA) physical status III or above, overweight and obese body mass index (BMI), orthopedic cases, abdominal cases, emergency cases, absence of injury and trauma, and West region (all P.05).Rates of COVID-19 in pediatric anesthesia patients were consistently lower than in the general population. Independent risk factors of a positive test for children were identified. This is the first time universal testing for a single infectious disease was undertaken on a wide scale. As such, the association of infection with surgical case type or emergency case status is unprecedented.
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- 2022
29. Prevalence of COVID-19 and Risk Factors for Infection Among Pediatric Anesthesia Patients: A Report From the PEACOC Research Network
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Kato, Meredith A., primary, Zurakowski, David, additional, Adams, AmandaMarie, additional, Soelberg, Julie, additional, Staffa, Steven J., additional, Bradford, Victoria A., additional, Efune, Proshad N., additional, Rodgers McCormick, Megan E., additional, Grivoyannis, Anastasia D., additional, Rossmann Beel, Elizabeth, additional, Correll, Lynnie R., additional, Cheon, Eric C., additional, Tan, Gee Mei, additional, Thomas, James J., additional, Fernandez, Allison M., additional, Teng, Howard C., additional, Khanna, Neha, additional, Raman, Vidya T., additional, Brzenski, Alyssa B., additional, Frugoni, Brian J., additional, Sheth, Michelle M., additional, Rugnath, Rahil M., additional, and Meier, Petra M., additional
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- 2022
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30. A Historical Background of Brazil’s Economy
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Grivoyannis, Elias C., primary
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- 2016
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31. The effects of the interest rates on bank risk in China
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Zhongyuan Geng, Elias Grivoyannis, Shuran Zhang, and Yunxin He
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Management. Industrial management ,HD28-70 - Abstract
We use non-performing loan ratio and insolvency risk to measure bank risk and construct panel data regression models to examine the effects of the interbank market rate, central-bank rate and bank-level lending rate on bank risk in China. Empirical results show that interbank market rate and the central-bank interest rate are positively correlated with bank risk, while the bank-level lending rate is negatively correlated with bank risk. We also analyse and explain the difference between the effects of the US interest rates and China’s interest rates on its own bank risk. Finally, we put forward some policy implications.
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- 2016
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32. Temporal distribution of Plasmodium falciparum recrudescence following artemisinin-based combination therapy: an individual participant data meta-analysis
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Dahal, Prabin, Simpson, Julie Anne, Abdulla, Salim, Achan, Jane, Adam, Ishag, Agarwal, Aarti, Allan, Richard, Anvikar, Anupkumar R., Ashley, Elizabeth A., Bassat, Quique, Borrmann, Steffen, Bousema, Teun, Bukirwa, Hasifa, Carrara, Verena, I, Corsi, Marco, D'Alessandro, Umberto, Davis, Timothy M. E., Deloron, Philippe, Desai, Meghna, Dimbu, Pedro Rafael, Djalle, Djibrine, Djimde, Abdoulaye, Dorsey, Grant, Drakeley, Chris J., Duparc, Stephan, Edstein, Michael D., Espie, Emmanuelle, Faiz, Abul, Falade, Catherine, Fanello, Caterina, Faucher, Jean-Francois, Faye, Babacar, Fortes, Filomeno de Jesus, Gadalla, Nahla B., Gaye, Oumar, Gil, J. Pedro, Gilayeneh, Julius, Greenwood, Brian, Grivoyannis, Anastasia, Hien, Tran Tinh, Hwang, Jimee, Janssens, Bart, Juma, Elizabeth, Kamugisha, Erasmus, Karema, Corine, Karunajeewa, Harin A., Kiechel, Jean R., Kironde, Fred, Kofoed, Poul-Erik, Kremsner, Peter G., Lee, Sue J., Marsh, Kevin, Mårtensson, Andreas, Mayxay, Mayfong, Menan, Herve, Mens, Petra, Mutabingwa, Theonest K., Ndiaye, Jean-Louis, Ngasala, Billy, Noedl, Harald, Nosten, Francois, Offianan, Andre Toure, Ogutu, Bernhards R., Olliaro, Piero L., Ouedraogo, Jean Bosco, Piola, Patrice, Plowe, Christopher, V, Plucinski, Mateusz M., Pratt, Oliver James, Premji, Zulfikarali, Ramharter, Michael, Rogier, Christophe, Vitare, Primum, Rombo, Lars, Rosenthal, Philip J., Sibley, Carol, Sirima, Sodiomon, Smithuis, Frank, Staedke, Sarah G., Sutanto, Inge, Talisuna, Ambrose Otau, Tarning, Joel, Taylor, Walter R. J., Temu, Emmanuel, Thriemer, Kamala, Thuy-Nhien, Nguyen, Udhayakumar, Venkatachalam, Ursing, Johan D., van Herp, Michel, van Lenthe, Marit, van Vugt, Michele, William, Yavo, Winnips, Cornelis, Zaloumis, Sophie, Zongo, Issaka, White, Nick J., Guerin, Philippe J., Stepniewska, Kasia, Price, Ric N., Arinaitwe, Emmanuel, and Group, WorldWide Antimalarial Resistance Network Methodology Study
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Infectious Medicine ,Efficacy ,Follow-up ,Recrudescence ,Artemether, Lumefantrine Drug Combination ,Plasmodium falciparum ,Infektionsmedicin ,Distribution ,Artemisinins ,Malaria ,Antimalarials ,lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4] ,Infectious Diseases ,Recurrence ,Child, Preschool ,Humans ,Parasitology ,Artemether ,Child - Abstract
Background The duration of trial follow-up affects the ability to detect recrudescent infections following anti-malarial treatment. The aim of this study was to explore the proportions of recrudescent parasitaemia as ascribed by genotyping captured at various follow-up time-points in treatment efficacy trials for uncomplicated Plasmodium falciparum malaria. Methods Individual patient data from 83 anti-malarial efficacy studies collated in the WorldWide Antimalarial Resistance Network (WWARN) repository with at least 28 days follow-up were available. The temporal and cumulative distributions of recrudescence were characterized using a Cox regression model with shared frailty on study-sites. Fractional polynomials were used to capture non-linear instantaneous hazard. The area under the density curve (AUC) of the constructed distribution was used to estimate the optimal follow-up period for capturing a P. falciparum malaria recrudescence. Simulation studies were conducted based on the constructed distributions to quantify the absolute overestimation in efficacy due to sub-optimal follow-up. Results Overall, 3703 recurrent infections were detected in 60 studies conducted in Africa (15,512 children aged 48 mg/kg total piperaquine (PIP) dose and 9% [95% CI 0–22%] in those treated with ≤ 48 mg/kg PIP dose. In absolute terms, the simulation study found that trials limited to 28 days follow-up following AL underestimated the risk of recrudescence by a median of 2.8 percentage points compared to day 63 estimates and those limited to 42 days following DP underestimated the risk of recrudescence by a median of 2.0 percentage points compared to day 42 estimates. The analysis was limited by few clinical trials following patients for longer than 42 days (9 out of 83 trials) and the imprecision of PCR genotyping which overcalls recrudescence in areas of higher transmission biasing the later distribution. Conclusions Restricting follow-up of clinical efficacy trials to day 28 for AL and day 42 for DP will miss a proportion of late recrudescent treatment failures but will have a modest impact in derived efficacy. The results highlight that as genotyping methods improve consideration should be given for trials with longer duration of follow-up to detect early indications of emerging drug resistance.
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- 2022
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33. Temporal distribution of Plasmodium falciparum recrudescence following artemisinin-based combination therapy: an individual participant data meta-analysis
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Dahal, P, Simpson, JA, Abdulla, S, Achan, J, Adam, I, Agarwal, A, Allan, R, Anvikar, AR, Ashley, EA, Bassat, Q, Borrmann, S, Bousema, T, Bukirwa, H, Carrara, V, Corsi, M, D'Alessandro, U, Davis, TME, Deloron, P, Desai, M, Dimbu, PR, Djalle, D, Djimde, A, Dorsey, G, Drakeley, CJ, Duparc, S, Edstein, MD, Espie, E, Abul, F, Falade, C, Fanello, C, Faucher, J-F, Faye, B, Fortes, FDJ, Gadalla, NB, Gaye, O, Gil, JP, Gilayeneh, J, Greenwood, B, Grivoyannis, A, Hien, TT, Hwang, J, Janssens, B, Juma, E, Kamugisha, E, Karema, C, Karunajeewa, HA, Kiechel, JR, Kironde, F, Kofoed, P-E, Kremsner, PG, Lee, SJ, Marsh, K, Martensson, A, Mayxay, M, Menan, H, Mens, P, Mutabingwa, TK, Ndiaye, J-L, Ngasala, BE, Noedl, H, Nosten, F, Offianan, AT, Ogutu, BR, Olliaro, PL, Ouedraogo, JB, Piola, P, Plowe, C, Plucinski, MM, Pratt, OJ, Premji, Z, Ramharter, M, Rogier, C, Vitare, P, Rombo, L, Rosenthal, PJ, Sibley, C, Sirima, S, Smithuis, F, Staedke, SG, Sutanto, I, Talisuna, AO, Tarning, J, Taylor, WRJ, Temu, E, Thriemer, K, Thuy-Nhien, N, Udhayakumar, V, Ursing, JD, van Herp, M, van Lenthe, M, van Vugt, M, William, Y, Winnips, C, Zaloumis, S, Zongo, I, White, NJ, Guerin, PJ, Stepniewska, K, Price, RN, Arinaitwe, E, Dahal, P, Simpson, JA, Abdulla, S, Achan, J, Adam, I, Agarwal, A, Allan, R, Anvikar, AR, Ashley, EA, Bassat, Q, Borrmann, S, Bousema, T, Bukirwa, H, Carrara, V, Corsi, M, D'Alessandro, U, Davis, TME, Deloron, P, Desai, M, Dimbu, PR, Djalle, D, Djimde, A, Dorsey, G, Drakeley, CJ, Duparc, S, Edstein, MD, Espie, E, Abul, F, Falade, C, Fanello, C, Faucher, J-F, Faye, B, Fortes, FDJ, Gadalla, NB, Gaye, O, Gil, JP, Gilayeneh, J, Greenwood, B, Grivoyannis, A, Hien, TT, Hwang, J, Janssens, B, Juma, E, Kamugisha, E, Karema, C, Karunajeewa, HA, Kiechel, JR, Kironde, F, Kofoed, P-E, Kremsner, PG, Lee, SJ, Marsh, K, Martensson, A, Mayxay, M, Menan, H, Mens, P, Mutabingwa, TK, Ndiaye, J-L, Ngasala, BE, Noedl, H, Nosten, F, Offianan, AT, Ogutu, BR, Olliaro, PL, Ouedraogo, JB, Piola, P, Plowe, C, Plucinski, MM, Pratt, OJ, Premji, Z, Ramharter, M, Rogier, C, Vitare, P, Rombo, L, Rosenthal, PJ, Sibley, C, Sirima, S, Smithuis, F, Staedke, SG, Sutanto, I, Talisuna, AO, Tarning, J, Taylor, WRJ, Temu, E, Thriemer, K, Thuy-Nhien, N, Udhayakumar, V, Ursing, JD, van Herp, M, van Lenthe, M, van Vugt, M, William, Y, Winnips, C, Zaloumis, S, Zongo, I, White, NJ, Guerin, PJ, Stepniewska, K, Price, RN, and Arinaitwe, E
- Abstract
BACKGROUND: The duration of trial follow-up affects the ability to detect recrudescent infections following anti-malarial treatment. The aim of this study was to explore the proportions of recrudescent parasitaemia as ascribed by genotyping captured at various follow-up time-points in treatment efficacy trials for uncomplicated Plasmodium falciparum malaria. METHODS: Individual patient data from 83 anti-malarial efficacy studies collated in the WorldWide Antimalarial Resistance Network (WWARN) repository with at least 28 days follow-up were available. The temporal and cumulative distributions of recrudescence were characterized using a Cox regression model with shared frailty on study-sites. Fractional polynomials were used to capture non-linear instantaneous hazard. The area under the density curve (AUC) of the constructed distribution was used to estimate the optimal follow-up period for capturing a P. falciparum malaria recrudescence. Simulation studies were conducted based on the constructed distributions to quantify the absolute overestimation in efficacy due to sub-optimal follow-up. RESULTS: Overall, 3703 recurrent infections were detected in 60 studies conducted in Africa (15,512 children aged < 5 years) and 23 studies conducted in Asia and South America (5272 patients of all ages). Using molecular genotyping, 519 (14.0%) recurrences were ascribed as recrudescent infections. A 28 day artemether-lumefantrine (AL) efficacy trial would not have detected 58% [95% confidence interval (CI) 47-74%] of recrudescences in African children and 32% [95% CI 15-45%] in patients of all ages in Asia/South America. The corresponding estimate following a 42 day dihydroartemisinin-piperaquine (DP) efficacy trial in Africa was 47% [95% CI 19-90%] in children under 5 years old treated with > 48 mg/kg total piperaquine (PIP) dose and 9% [95% CI 0-22%] in those treated with ≤ 48 mg/kg PIP dose. In absolute terms, the simulation study found that trials limited to 28 days follow-up
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- 2022
34. Haematological consequences of acute uncomplicated falciparum malaria: a WorldWide Antimalarial Resistance Network pooled analysis of individual patient data
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Mansoor, R, Commons, RJ, Douglas, NM, Abuaku, B, Achan, J, Adam, I, Adjei, GO, Adjuik, M, Alemayehu, BH, Allan, R, Allen, EN, Anvikar, AR, Arinaitwe, E, Ashley, EA, Ashurst, H, Asih, PBS, Bakyaita, N, Barennes, H, Barnes, K, Basco, L, Bassat, Q, Baudin, E, Bell, DJ, Bethell, D, Bjorkman, A, Boulton, C, Bousema, T, Brasseur, P, Bukirwa, H, Burrow, R, Carrara, V, Cot, M, D'Alessandro, U, Das, D, Das, S, Davis, TME, Desai, M, Djimde, AA, Dondorp, AM, Dorsey, G, Drakeley, CJ, Duparc, S, Espie, E, Etard, J-F, Falade, C, Faucher, JF, Filler, S, Fogg, C, Fukuda, M, Gaye, O, Genton, B, Rahim, AG, Gilayeneh, J, Gonzalez, R, Grais, RF, Grandesso, F, Greenwood, B, Grivoyannis, A, Hatz, C, Hodel, EM, Humphreys, GS, Hwang, J, Ishengoma, D, Juma, E, Kachur, SP, Kager, PA, Kamugisha, E, Kamya, MR, Karema, C, Kayentao, K, Kazienga, A, Kiechel, J-R, Kofoed, P-E, Koram, K, Kremsner, PG, Lalloo, DG, Laman, M, Lee, SJ, Lell, B, Maiga, AW, Martensson, A, Mayxay, M, Mbacham, W, McGready, R, Menan, H, Menard, D, Mockenhaupt, F, Moore, BR, Muller, O, Nahum, A, Ndiaye, J-L, Newton, PN, Ngasala, BE, Nikiema, F, Nji, AM, Noedl, H, Nosten, F, Ogutu, BR, Ojurongbe, O, Osorio, L, Ouedraogo, J-B, Owusu-Agyei, S, Pareek, A, Penali, LK, Piola, P, Plucinski, M, Premji, Z, Ramharter, M, Richmond, CL, Rombo, L, Rosenthal, PJ, Salman, S, Same-Ekobo, A, Sibley, C, Sirima, SB, Smithuis, FM, Some, FA, Staedke, SG, Starzengruber, P, Strub-Wourgaft, N, Sutanto, I, Swarthout, TD, Syafruddin, D, Talisuna, AO, Taylor, WR, Temu, EA, Thwing, J, Tinto, H, Tjitra, E, Toure, OA, Tran, TH, Ursing, J, Valea, I, Valentini, G, van Vugt, M, von Seidlein, L, Ward, SA, Were, V, White, NJ, Woodrow, CJ, Yavo, W, Yeka, A, Zongo, I, Simpson, JA, Guerin, PJ, Stepniewska, K, Price, RN, Roper, C, Mansoor, R, Commons, RJ, Douglas, NM, Abuaku, B, Achan, J, Adam, I, Adjei, GO, Adjuik, M, Alemayehu, BH, Allan, R, Allen, EN, Anvikar, AR, Arinaitwe, E, Ashley, EA, Ashurst, H, Asih, PBS, Bakyaita, N, Barennes, H, Barnes, K, Basco, L, Bassat, Q, Baudin, E, Bell, DJ, Bethell, D, Bjorkman, A, Boulton, C, Bousema, T, Brasseur, P, Bukirwa, H, Burrow, R, Carrara, V, Cot, M, D'Alessandro, U, Das, D, Das, S, Davis, TME, Desai, M, Djimde, AA, Dondorp, AM, Dorsey, G, Drakeley, CJ, Duparc, S, Espie, E, Etard, J-F, Falade, C, Faucher, JF, Filler, S, Fogg, C, Fukuda, M, Gaye, O, Genton, B, Rahim, AG, Gilayeneh, J, Gonzalez, R, Grais, RF, Grandesso, F, Greenwood, B, Grivoyannis, A, Hatz, C, Hodel, EM, Humphreys, GS, Hwang, J, Ishengoma, D, Juma, E, Kachur, SP, Kager, PA, Kamugisha, E, Kamya, MR, Karema, C, Kayentao, K, Kazienga, A, Kiechel, J-R, Kofoed, P-E, Koram, K, Kremsner, PG, Lalloo, DG, Laman, M, Lee, SJ, Lell, B, Maiga, AW, Martensson, A, Mayxay, M, Mbacham, W, McGready, R, Menan, H, Menard, D, Mockenhaupt, F, Moore, BR, Muller, O, Nahum, A, Ndiaye, J-L, Newton, PN, Ngasala, BE, Nikiema, F, Nji, AM, Noedl, H, Nosten, F, Ogutu, BR, Ojurongbe, O, Osorio, L, Ouedraogo, J-B, Owusu-Agyei, S, Pareek, A, Penali, LK, Piola, P, Plucinski, M, Premji, Z, Ramharter, M, Richmond, CL, Rombo, L, Rosenthal, PJ, Salman, S, Same-Ekobo, A, Sibley, C, Sirima, SB, Smithuis, FM, Some, FA, Staedke, SG, Starzengruber, P, Strub-Wourgaft, N, Sutanto, I, Swarthout, TD, Syafruddin, D, Talisuna, AO, Taylor, WR, Temu, EA, Thwing, J, Tinto, H, Tjitra, E, Toure, OA, Tran, TH, Ursing, J, Valea, I, Valentini, G, van Vugt, M, von Seidlein, L, Ward, SA, Were, V, White, NJ, Woodrow, CJ, Yavo, W, Yeka, A, Zongo, I, Simpson, JA, Guerin, PJ, Stepniewska, K, Price, RN, and Roper, C
- Abstract
BACKGROUND: Plasmodium falciparum malaria is associated with anaemia-related morbidity, attributable to host, parasite and drug factors. We quantified the haematological response following treatment of uncomplicated P. falciparum malaria to identify the factors associated with malarial anaemia. METHODS: Individual patient data from eligible antimalarial efficacy studies of uncomplicated P. falciparum malaria, available through the WorldWide Antimalarial Resistance Network data repository prior to August 2015, were pooled using standardised methodology. The haematological response over time was quantified using a multivariable linear mixed effects model with nonlinear terms for time, and the model was then used to estimate the mean haemoglobin at day of nadir and day 7. Multivariable logistic regression quantified risk factors for moderately severe anaemia (haemoglobin < 7 g/dL) at day 0, day 3 and day 7 as well as a fractional fall ≥ 25% at day 3 and day 7. RESULTS: A total of 70,226 patients, recruited into 200 studies between 1991 and 2013, were included in the analysis: 50,859 (72.4%) enrolled in Africa, 18,451 (26.3%) in Asia and 916 (1.3%) in South America. The median haemoglobin concentration at presentation was 9.9 g/dL (range 5.0-19.7 g/dL) in Africa, 11.6 g/dL (range 5.0-20.0 g/dL) in Asia and 12.3 g/dL (range 6.9-17.9 g/dL) in South America. Moderately severe anaemia (Hb < 7g/dl) was present in 8.4% (4284/50,859) of patients from Africa, 3.3% (606/18,451) from Asia and 0.1% (1/916) from South America. The nadir haemoglobin occurred on day 2 post treatment with a mean fall from baseline of 0.57 g/dL in Africa and 1.13 g/dL in Asia. Independent risk factors for moderately severe anaemia on day 7, in both Africa and Asia, included moderately severe anaemia at baseline (adjusted odds ratio (AOR) = 16.10 and AOR = 23.00, respectively), young age (age < 1 compared to ≥ 12 years AOR = 12.81 and AOR = 6.79, respectively), high parasitaemia (AOR = 1.78 and AOR = 1.
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- 2022
35. List of Contributors
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Adam C. Adler, Aditee P. Ambardekar, Naomi Balamuth, Alexandra Berman, Tarun Bhalla, Donald L. Boyer, Andrew J. Costandi, C. Hunter Daigle, Gregory Dodson, Jeffrey M. Feldman, John E. Fiadjoe, Jessica Foster, Susan Gallagher, F. Jay Garcia, Thierry Girard, Anastasia D. Grivoyannis, Harshad Gurnaney, Fatimah Habib, Grace Hsu, Samuel Hunter, Rebecca S. Isserman, Jeremy Jones, Ji Yeon Jemma Kang, Michael R. King, F. Wickam Kraemer, Grace E. Linder, Ronald S. Litman, Katherine H. Loh, Petar Mamula, Annery Garcia-Marcinikiewicz, Lynne G. Maxwell, Wallis T. Muhly, Olivia Nelson, Asha Nookala, Vanessa A. Olbrecht, Shikha Patel, Alison Perate, Laura A. Petrini, Teeda Pinyavat, Andrew Renuart, Susan R. Rheingold, Samuel Rosenblatt, Julia Rosenbloom, William Ryan, Deborah Ann Sesok-Pizzini, Christopher Setiawan, Allan F. Simpao, Paul A. Stricker, Ari Y. Weintraub, Char M. Witmer, Theoklis Zaoutis, and Karen B. Zur
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- 2022
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36. The New Chinese Economy: Dynamic Transitions into the Future
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Elias C. Grivoyannis
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- 2012
37. Estimates of Labor Productivity of Economic Damages Experts
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Grivoyannis, Elias C. and Tinari, Frank D.
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- 2005
38. Selection of pfcrt K76 and pfmdr1 N86 Coding Alleles after Uncomplicated Malaria Treatment by Artemether-Lumefantrine in Mali
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Aliou Traore, Anastasia Grivoyannis, Hamma Maiga, Ogobara K. Doumbo, Issaka Sagara, Amadou Bamadio, Oumar B Traore, Christopher V. Plowe, Abdoulaye Djimde, Zoumana Traoré, Kassim Sanogo, Karim Traore, Youssouf Tolo, Malbec, Odile, Institut National de Santé Publique [Bamako] = National Institute of Research on Public Health (INSP), Université des Sciences, des Techniques et des Technologies de Bamako (USTTB), Weill Medical College of Cornell University [New York], and University of Maryland [Baltimore]
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0301 basic medicine ,Male ,Artemether/lumefantrine ,Drug Resistance ,Protozoan Proteins ,Drug resistance ,Mali ,Pfmdr1 ,0302 clinical medicine ,Chloroquine ,Artemisinin ,Biology (General) ,Malaria, Falciparum ,Artemether-lumefantrine ,Child ,Spectroscopy ,education.field_of_study ,biology ,Pfcrt ,General Medicine ,Artemisinins ,Computer Science Applications ,Plasmodium falciparum ,Chemistry ,Child, Preschool ,Female ,Multidrug Resistance-Associated Proteins ,medicine.drug ,medicine.medical_specialty ,QH301-705.5 ,030106 microbiology ,030231 tropical medicine ,Population ,Amodiaquine ,Catalysis ,Article ,Inorganic Chemistry ,03 medical and health sciences ,Internal medicine ,parasitic diseases ,medicine ,Humans ,Physical and Theoretical Chemistry ,education ,Molecular Biology ,QD1-999 ,Alleles ,business.industry ,Organic Chemistry ,Artemether, Lumefantrine Drug Combination ,Membrane Transport Proteins ,medicine.disease ,biology.organism_classification ,[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,business ,Malaria - Abstract
Background: Artemether-lumefantrine is a highly effective artemisinin-based combination therapy that was adopted in Mali as first-line treatment for uncomplicated Plasmodium falciparum malaria. This study was designed to measure the efficacy of artemether-lumefantrine and to assess the selection of the P. falciparum chloroquine resistance transporter (pfcrt) and P. falciparum multi-drug resistance 1 (pfmdr1) genotypes that have been associated with drug resistance. Methods: A 28-day follow-up efficacy trial of artemether-lumefantrine was conducted in patients aged 6 months and older suffering from uncomplicated falciparum malaria in four different Malian areas during the 2009 malaria transmission season. The polymorphic genetic markers MSP2, MSP1, and Ca1 were used to distinguish between recrudescence and reinfection. Reinfection and recrudescence were then grouped as recurrent infections and analyzed together by PCR-restriction fragment length polymorphism (RFLP) to identify candidate markers for artemether-lumefantrine tolerance in the P. falciparum chloroquine resistance transporter (pfcrt) gene and the P. falciparum multi-drug resistance 1 (pfmdr1) gene. Results: Clinical outcomes in 326 patients (96.7%) were analyzed and the 28-day uncorrected adequate clinical and parasitological response (ACPR) rate was 73.9%. The total PCR-corrected 28-day ACPR was 97.2%. The pfcrt 76T and pfmdr1 86Y population prevalence decreased from 49.3% and 11.0% at baseline (n = 337) to 38.8% and 0% in patients with recurrent infection (n = 85), p = 0.001), respectively. Conclusion: Parasite populations exposed to artemether-lumefantrine in this study were selected toward chloroquine-sensitivity and showed a promising trend that may warrant future targeted reintroduction of chloroquine or/and amodiaquine.
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- 2021
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39. Vigilance: the behavioral impact of quantitative monitoring on administration and antagonism of neuromuscular blocking agents
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Grivoyannis, Anastasia D., primary, Tangel, Virginia, additional, and Lien, Cynthia A., additional
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- 2021
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40. Selection of pfcrt K76 and pfmdr1 N86 Coding Alleles after Uncomplicated Malaria Treatment by Artemether-Lumefantrine in Mali
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Maiga, Hamma, primary, Grivoyannis, Anastasia, additional, Sagara, Issaka, additional, Traore, Karim, additional, Traore, Oumar B., additional, Tolo, Youssouf, additional, Traore, Aliou, additional, Bamadio, Amadou, additional, Traore, Zoumana I., additional, Sanogo, Kassim, additional, Doumbo, Ogobara K., additional, Plowe, Christopher V., additional, and Djimde, Abdoulaye A., additional
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- 2021
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41. Vigilance: the behavioral impact of quantitative monitoring on administration and antagonism of neuromuscular blocking agents
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Anastasia D, Grivoyannis, Virginia, Tangel, and Cynthia A, Lien
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Neuromuscular Blockade ,Humans ,Neuromuscular Monitoring ,Neuromuscular Blocking Agents ,Neostigmine ,Anesthetics ,Neuromuscular Nondepolarizing Agents ,Retrospective Studies - Abstract
The aim of this study was to determine whether use of acceleromyography (1) changes dosing of neuromuscular blocking agents (NMBAs), and (2) increases the time between neostigmine administration and extubation, when compared with subjective assessment of neuromuscular blockade.For this retrospective study, data were collected from patient electronic medical records. Patients were included if they had received an NMBA as part of a general anesthetic in 2013 and 2014. Data were analyzed by category of monitoring device: quantitative monitor (acceleromyograph [AMG]) or subjective device (peripheral nerve stimulator [PNS]). Outcomes measured were the total dose of NMBA administered and, the timing of the last dose of NMBA and anticholinesterase relative to tracheal extubation.Results from multivariate models showed that use of acceleromyography was not associated with a change in the total dose of NMBA administered. In contrast, the number of times any monitor was used, as determined by the frequency with which the train-of-four count (TOFC) was recorded, correlated with the administration of greater amounts of rocuronium (P 0.01) and vecuronium (P 0.01). The use of acceleromyography did not prolong the time interval between neostigmine administration and tracheal extubation. The number of times any monitor was used during an anesthetic was associated with a decrease in this time interval. The interval decreased an average of 2.7 min each successive time the TOFC was recorded (P 0.01).The data presented provides insight about the behavioral engineering inherent to the practice of anesthesiology. Introduction of neuromuscular blockade assessment appeared to increase provider vigilance in dosing of NMBAs-regardless of assessment method. The frequency of intraoperative monitoring (quantitative or subjective) was associated with an increased total dose of NMBA administered and decreased time interval between the last dose of neostigmine and extubation.
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- 2020
42. The Pediatric Craniofacial Collaborative Group (PCCG) Consensus Conference Methodology
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Courtney K. Derderian, Christopher A. Derderian, Allison Fernandez, Chris D. Glover, Susan Goobie, Jennifer K. Hansen, Michael King, Jane Kugler, Shih‐Shan Lang, Petra Meier‐Haran, Olivia Nelson, Srijaya K. Reddy, Russell Reid, Karene Ricketts, Stephen A. Rottgers, Davinder Singh, Peter Szmuk, Brad M. Taicher, Jesse Taylor, Paul A. Stricker, Christopher Abruzzese, Angelina Bhandari, Amy Beethe, Hubert Benzon, Wendy Binstock, Victoria Bradford, James Bradley, Alyssa Brzenski, Stefan Budac, Veronica Busso, Surendrasingh Chhabada, Franklin Chiao, Franklyn Cladis, Danielle Claypool, Michael Collins, Lynnie Correll, Andrew Costandi, Rachel Dabek, Nicholas Dalesio, Piedad Echeverry, Thejovathi Edala, Ricardo Falcon, Patrick Fernandez, John Fiadjoe, Meera Gangadharan, Chris Glover, Susan M. Goobie, Amanda Gosman, Anastasia Grivoyannis, Shannon Grap, Heike Gries, Allison Griffin, John Hajduk, Thorsten Haas, Rebecca Hall, Jennifer Hansen, Mali Hetmaniuk, Hercilia M. Homi, Vincent Hsieh, Henry Huang, Pablo Ingelmo, Iskra Ivanova, Ranu Jain, Siri Kanmanthreddy, Michelle Kars, Mike King, John Koller, Courtney Kowalczyk‐Derderian, Kristen Labovsky, Indrani Lakheeram, Alina Lazar, Andrew Lee, Jennifer Lee, Jose Luis Martinez, Aaron Mason, Eduardo Medellin, Vivek Mehta, Petra Meier, Heather Mitzel Levy, Wallis T. Muhly, Bridget Muldowney, Jonathon Nelson, Julie Nicholson, Kim‐Phuong Nguyen, Thanh Nguyen, Margaret Owens‐Stubblefield, Matt Pankratz, Uma Ramesh Parekh, Jasmine Patel, Roshan Patel, Vikram Patel, Carolina Perez‐Pradilla, Timothy Petersen, Julian Post, Kim Poteet‐Schwartz, Pavithra Ranganathan, Srijaya Reddy, Megan Rodgers McCormick, Laura Ryan, Kaitlyn Sbrollini, Peggy Seidman, Neil R. Singhal, Rochelle Skitt, Codruta Soneru, Emad Sorial, Rachel Spitznagel, Paul Stricker, Bobbie Stubbeman, Rani Sunder, Wai Sung, Tariq Syed, Jenna Taylor, Kimberly Taylor, Douglas Thompson, Galit Ungar‐Kastner, Karen Wong, Hannah Yates, and Lillian Zamora
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medicine.medical_specialty ,Critical Care ,business.industry ,Skull ,Consensus conference ,Infant ,Anemia ,medicine.disease ,Craniosynostosis ,Collaborative group ,Craniosynostoses ,Anesthesiology and Pain Medicine ,Anesthesiology ,Pediatrics, Perinatology and Child Health ,Cranial vault ,medicine ,Humans ,Medical physics ,Blood Transfusion ,Craniofacial ,Pediatric anesthesia ,business ,Child ,Craniofacial surgery - Abstract
Objective This article describes the methodology used for the Pediatric Craniofacial Collaborative Group (PCCG) Consensus Conference. Design This is a novel Consensus Conference of national experts in Pediatric Craniofacial Surgery and Anesthesia, who will follow standards set by the Institute of Medicine and using the Research and Development/University of California, Los Angeles appropriateness method, modeled after the Pediatric Critical Care Transfusion and Anemia Expertise Initiative. Topics related to pediatric craniofacial anesthesia for open cranial vault surgery were divided into twelve subgroups with a systematic review of the literature. Setting A group of 20 content experts met virtually between 2019 and 2020 and will collaborate in their selected topics related to perioperative management for pediatric open cranial vault surgery for craniosynostosis. These groups will also identify where future research is needed. Conclusions Experts in pediatric craniofacial surgery and anesthesiology are developing recommendations on behalf of the Pediatric Craniofacial Collaborative Group for perioperative management of patients undergoing open cranial vault surgery for craniosynostosis and identifying future research priorities.
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- 2020
43. The Pediatric Craniofacial Collaborative Group (PCCG) Consensus Conference Methodology
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Derderian, Courtney K., primary, Derderian, Christopher A., additional, Fernandez, Allison, additional, Glover, Chris D., additional, Goobie, Susan, additional, Hansen, Jennifer K., additional, King, Michael, additional, Kugler, Jane, additional, Lang, Shih‐Shan, additional, Meier‐Haran, Petra, additional, Nelson, Olivia, additional, Reddy, Srijaya K., additional, Reid, Russell, additional, Ricketts, Karene, additional, Rottgers, Stephen A., additional, Singh, Davinder, additional, Szmuk, Peter, additional, Taicher, Brad M., additional, Taylor, Jesse, additional, Stricker, Paul A., additional, Abruzzese, Christopher, additional, Bhandari, Angelina, additional, Beethe, Amy, additional, Benzon, Hubert, additional, Binstock, Wendy, additional, Bradford, Victoria, additional, Bradley, James, additional, Brzenski, Alyssa, additional, Budac, Stefan, additional, Busso, Veronica, additional, Chhabada, Surendrasingh, additional, Chiao, Franklin, additional, Cladis, Franklyn, additional, Claypool, Danielle, additional, Collins, Michael, additional, Correll, Lynnie, additional, Costandi, Andrew, additional, Dabek, Rachel, additional, Dalesio, Nicholas, additional, Echeverry, Piedad, additional, Edala, Thejovathi, additional, Falcon, Ricardo, additional, Fernandez, Patrick, additional, Fiadjoe, John, additional, Gangadharan, Meera, additional, Glover, Chris, additional, Goobie, Susan M., additional, Gosman, Amanda, additional, Grivoyannis, Anastasia, additional, Grap, Shannon, additional, Gries, Heike, additional, Griffin, Allison, additional, Hajduk, John, additional, Haas, Thorsten, additional, Hall, Rebecca, additional, Hansen, Jennifer, additional, Hetmaniuk, Mali, additional, Homi, Hercilia M., additional, Hsieh, Vincent, additional, Huang, Henry, additional, Ingelmo, Pablo, additional, Ivanova, Iskra, additional, Jain, Ranu, additional, Kanmanthreddy, Siri, additional, Kars, Michelle, additional, King, Mike, additional, Koller, John, additional, Kowalczyk‐Derderian, Courtney, additional, Labovsky, Kristen, additional, Lakheeram, Indrani, additional, Lazar, Alina, additional, Lee, Andrew, additional, Lee, Jennifer, additional, Martinez, Jose Luis, additional, Mason, Aaron, additional, Medellin, Eduardo, additional, Mehta, Vivek, additional, Meier, Petra, additional, Mitzel Levy, Heather, additional, Muhly, Wallis T., additional, Muldowney, Bridget, additional, Nelson, Jonathon, additional, Nicholson, Julie, additional, Nguyen, Kim‐Phuong, additional, Nguyen, Thanh, additional, Owens‐Stubblefield, Margaret, additional, Pankratz, Matt, additional, Ramesh Parekh, Uma, additional, Patel, Jasmine, additional, Patel, Roshan, additional, Patel, Vikram, additional, Perez‐Pradilla, Carolina, additional, Petersen, Timothy, additional, Post, Julian, additional, Poteet‐Schwartz, Kim, additional, Ranganathan, Pavithra, additional, Reddy, Srijaya, additional, Rodgers McCormick, Megan, additional, Ryan, Laura, additional, Sbrollini, Kaitlyn, additional, Seidman, Peggy, additional, Singhal, Neil R., additional, Skitt, Rochelle, additional, Soneru, Codruta, additional, Sorial, Emad, additional, Spitznagel, Rachel, additional, Stricker, Paul, additional, Stubbeman, Bobbie, additional, Sunder, Rani, additional, Sung, Wai, additional, Syed, Tariq, additional, Taylor, Jenna, additional, Taylor, Kimberly, additional, Thompson, Douglas, additional, Ungar‐Kastner, Galit, additional, Wong, Karen, additional, Yates, Hannah, additional, and Zamora, Lillian, additional
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- 2020
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44. Optimizing Transfusion-Related Postoperative Outcomes in Craniosynostosis Repair
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Jenny, Hillary E., primary, He, Waverley Y., additional, Abousy, Mya, additional, Grivoyannis, Anastasia, additional, Steinberg, Jordan P., additional, Redett, Richard J., additional, Yang, Robin, additional, and Dalesio, Nicholas, additional
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- 2020
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45. Purchasing Power Parity in Developing Countries: Evidence from Conventional and Fractional Cointegration Tests
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A. C. Arize, John Malindretos, and Elias C. Grivoyannis
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Finance ,HG1-9999 - Abstract
This paper examines the long-run validity of purchasing power parity (PPP) for fourteen developing countries. The period examined is 1973:4 through 2002:8. The methods of Elliot, Rothemberg and Stock (1996), Kwiattkoski et al. (1992) and Geweke and Porter-Hudak (1983) are employed to detect the time series properties of exchange rates and consumer price indices of these countries. We find that these variables are nonstationary. We then utilize these data to test the PPP using both conventional and fractional approaches. Estimates of the cointegrating relations are obtained using estimators suggested by Stock and Watson (1993) and Phillips and Hanson (1990), respectively. The results are consistent with the argument that, during the recent floating exchange-rate period, PPP holds well, at least in a weak form, in developing countries where the general price level movements overshadow the factors causing deviations from the PPP.
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- 2004
46. Inflation-rate volatility and money demand: Evidence from less developed countries
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Arize, A.C., Malindretos, John, and Grivoyannis, Elias C.
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- 2005
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47. Optimizing Transfusion-Related Postoperative Outcomes in Craniosynostosis Repair
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Jordan P. Steinberg, Richard J. Redett, Mya Abousy, Anastasia Grivoyannis, Waverley He, Hillary E. Jenny, Nicholas M. Dalesio, and Robin Yang
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Craniomaxillofacial Abstracts ,medicine.medical_specialty ,business.industry ,lcsh:Surgery ,Medicine ,Surgery ,lcsh:RD1-811 ,business ,medicine.disease ,Craniosynostosis - Published
- 2020
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48. Health Care Systems in Japan and the United States
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Sato, Ryuzo, primary, Grivoyannis, Elias, additional, Byrne, Barbara, additional, and Lian, Chengping, additional
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- 1997
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49. Competing risk events in antimalarial drug trials in uncomplicated Plasmodium falciparum malaria: a WorldWide Antimalarial Resistance Network individual participant data meta-analysis
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Pedro Rafael Dimbu, Marit De Wit, Kamala L. Thriemer, Sarah G. Staedke, Filomeno Fortes, Salim Abdulla, Julie A. Simpson, Oliver James Pratt, Bart Janssens, Andreas Mårtensson, Veronique Sinou, Steffen Borrmann, Walter R. J. Taylor, Ingrid van der Broek, Christopher J. M. Whitty, Meghna Desai, François Bompart, Zulfikarali Premji, Theonest K. Mutabingwa, Aarti Agarwal, Anupkumar R. Anvikar, Emmanuel Arinaitwe, Petra F. Mens, Piero Olliaro, François Nosten, Maman Laminou Ibrahim, Birgit Schramm, Hasifa Bukirwa, Michèle van Vugt, Jane Achan, J. Pedro Gil, Timothy M. E. Davis, Ogobara K. Doumbo, Michel Cot, Grant Dorsey, Michael Ramharter, Sue J. Lee, Sodiomon B. Sirima, Ambrose O. Talisuna, Poul-Erik Kofoed, Brian Greenwood, Catherine O. Falade, Valerie Lameyre, Mayfong Mayxay, Andre Toure Offianan, Hervé Ei Menan, Teun Bousema, Erasmus Kamugisha, Chris J. Drakeley, Elizabeth Juma, Johan Ursing, Abul Faiz, Emmanuel Temu, Carol Hopkins Sibley, Patrice Piola, Philip J. Rosenthal, Frank Smithuis, Mateusz M. Plucinski, Marco Corsi, Anastasia Grivoyannis, Richard Allan, Elizabeth A. Ashley, Harald Noedl, Jean François Faucher, Issaka Zongo, Corine Karema, Cornelis Winnips, Kamal Hamed, Umberto D'Alessandro, Venkatachalam Udhayakumar, Michael D. Edstein, Fred Kironde, Harin Karunajeewa, Philippe Deloron, Quique Bassat, Patrick Sawa, David P. Hughes, Ishag Adam, Michel Van Herp, Christopher V. Plowe, Ghulam Rahim Awab, Caterina I. Fanello, Joel Tarning, Stephan Duparc, Jean Bosco Ouedraogo, Emmanuelle Espie, Tran Tinh Hien, Jean R. Kiechel, Anders Björkman, Abdoulaye Djimde, Billy E. Ngasala, Nahla B. Gadalla, Prabin Dahal, Kasia Stepniewska, Lars Rombo, Nhien Nguyen Thuy, Philippe J Guerin, Verena I. Carrara, Babacar Faye, Christophe Rogier, Peter G. Kremsner, Oumar Gaye, Inge Sutanto, Jean-Louis A Ndiaye, Bernhards Ogutu, Mary Oguike, Vincent Jullien, Jimee Hwang, Kevin Marsh, Djibrine Djalle, Ric N. Price, Yavo William, Georgina S Humphreys, WorldWide Antimalarial Resistance Network (WWARN), University of Oxford [Oxford]-Churchill Hospital Oxford Centre for Haematology, Neuroépidémiologie Tropicale (NET), 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), Service des Maladies infectieuses et tropicales [CHU Limoges], CHU Limoges, Membranes et cibles thérapeutiques (MCT), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Recherche Biomédicale des Armées (IRBA), University of Oxford-Churchill Hospital Oxford Centre for Haematology, 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), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge] (IRBA), Infectious diseases, AII - Infectious diseases, APH - Global Health, and APH - Quality of Care
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[SDV]Life Sciences [q-bio] ,Network Meta-Analysis ,Infektionsmedicin ,Plasmodium falciparum/drug effects ,Polymerase Chain Reaction ,0302 clinical medicine ,Dihydroartemisinin/piperaquine ,Recurrence ,Cumulative incidence ,030212 general & internal medicine ,Antimalarials/pharmacology ,Malaria, Falciparum ,biology ,Malaria, Falciparum/drug therapy ,food and beverages ,3. Good health ,Infectious Diseases ,Meta-analysis ,Regression Analysis ,Competing risk even ,Risk ,Treatment efficacy study ,Infectious Medicine ,medicine.medical_specialty ,lcsh:Arctic medicine. Tropical medicine ,lcsh:RC955-962 ,030231 tropical medicine ,Plasmodium falciparum ,Malària ,Competing risks ,lcsh:Infectious and parasitic diseases ,Antimalarials ,03 medical and health sciences ,Internal medicine ,parasitic diseases ,medicine ,Humans ,lcsh:RC109-216 ,business.industry ,Methodology ,medicine.disease ,biology.organism_classification ,Malaria ,Competing risk event ,Parasitology ,Tropical medicine ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,business - Abstract
Background Therapeutic efficacy studies in uncomplicated Plasmodium falciparum malaria are confounded by new infections, which constitute competing risk events since they can potentially preclude/pre-empt the detection of subsequent recrudescence of persistent, sub-microscopic primary infections. Methods Antimalarial studies typically report the risk of recrudescence derived using the Kaplan–Meier (K–M) method, which considers new infections acquired during the follow-up period as censored. Cumulative Incidence Function (CIF) provides an alternative approach for handling new infections, which accounts for them as a competing risk event. The complement of the estimate derived using the K–M method (1 minus K–M), and the CIF were used to derive the risk of recrudescence at the end of the follow-up period using data from studies collated in the WorldWide Antimalarial Resistance Network data repository. Absolute differences in the failure estimates derived using these two methods were quantified. In comparative studies, the equality of two K–M curves was assessed using the log-rank test, and the equality of CIFs using Gray’s k-sample test (both at 5% level of significance). Two different regression modelling strategies for recrudescence were considered: cause-specific Cox model and Fine and Gray’s sub-distributional hazard model. Results Data were available from 92 studies (233 treatment arms, 31,379 patients) conducted between 1996 and 2014. At the end of follow-up, the median absolute overestimation in the estimated risk of cumulative recrudescence by using 1 minus K–M approach was 0.04% (interquartile range (IQR): 0.00–0.27%, Range: 0.00–3.60%). The overestimation was correlated positively with the proportion of patients with recrudescence [Pearson’s correlation coefficient (ρ): 0.38, 95% Confidence Interval (CI) 0.30–0.46] or new infection [ρ: 0.43; 95% CI 0.35–0.54]. In three study arms, the point estimates of failure were greater than 10% (the WHO threshold for withdrawing antimalarials) when the K–M method was used, but remained below 10% when using the CIF approach, but the 95% confidence interval included this threshold. Conclusions The 1 minus K–M method resulted in a marginal overestimation of recrudescence that became increasingly pronounced as antimalarial efficacy declined, particularly when the observed proportion of new infection was high. The CIF approach provides an alternative approach for derivation of failure estimates in antimalarial trials, particularly in high transmission settings. Electronic supplementary material The online version of this article (10.1186/s12936-019-2837-4) contains supplementary material, which is available to authorized users.
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- 2019
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50. NATIONAL ECONOMIC POLICIES IN JAPAN
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Sato, Ryuzo, primary, Ramachandran, Rama, additional, and Grivoyannis, Elias C., additional
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- 1991
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