COVID-19 Evidence Accelerator: A parallel analysis to describe the use of Hydroxychloroquine with or without Azithromycin among hospitalized COVID-19 patients
Mark Stewart, Carla Rodriguez-Watson, Adem Albayrak, Julius Asubonteng, Andrew Belli, Thomas Brown, Kelly Cho, Ritankar Das, Elizabeth Eldridge, Nicolle Gatto, Alice Gelman, Hanna Gerlovin, Stuart L Goldberg, Eric Hansen, Jonathan Hirsch, Yuk-Lam Ho, Andrew Ip, Monika Izano, Jason Jones, Amy C Justice, Reyna Klesh, Seth Kuranz, Carson Lam, Qingqing Mao, Samson Mataraso, Robertino Mera, Daniel C Posner, Jeremy A Rassen, Anna Siefkas, Andrew Schrag, Georgia Tourassi, Andrew Weckstein, Frank Wolf, Amar Bhat, Susan Winckler, Ellen V Sigal, Jeff Allen
PLOS ONE, doi:10.1371/journal.pone.0248128
Background The COVID-19 pandemic remains a significant global threat. However, despite urgent need, there remains uncertainty surrounding best practices for pharmaceutical interventions to treat COVID-19. In particular, conflicting evidence has emerged surrounding the use of hydroxychloroquine and azithromycin, alone or in combination, for COVID-19. The COVID-19 Evidence Accelerator convened by the Reagan-Udall Foundation for the FDA, in collaboration with Friends of Cancer Research, assembled experts from the health systems
Across all datasets and treatment groups, the most prominent pre-existing conditions tended to be any cardiovascular disease, hypertension, diabetes and obesity. Overall, obesity was more prevalent among the HCQ treatment groups than in the neither group. For most data partners, the proportion of patients treated with any of these comorbidities was lower or no different in the HCQ groups than in the neither group-with the exception of Syapse, which was a cancer cohort. There are several limitations to this study that must be acknowledged. First, despite our goal of carrying out the same set of analyses on multiple datasets, analyses could not be carried COTA/HMH 516 36 ( 7 ) 0 (0) 0 (0) 12 ( 2 ) 0 (0) 5 ) 53 ( 5 ) 36 ( 4 ) 36 ( 4 ) � Adverse event data from discharge diagnoses.
References
Albayrak, Brown, Cho, Eldridge, Gelman et al., Formal analysis: Julius Asubonteng
Cavalcanti, Zampieri, Rosa, Azevedo, Veiga et al., Hydroxychloroquine with or without Azithromycin in Mild-to-Moderate Covid-19, N Engl J Med,
doi:10.1056/NEJMoa2019014
Chapman, Peterson, Turano, Box, Wallace et al., A Natural Language Processing Sys
Cortegiani, Ingoglia, Ippolito, Giarratano, Einav, A systematic review on the efficacy and safety of chloroquine for the treatment of COVID-19, J Crit Care,
doi:10.1016/j.jcrc.2020.03.005
Fiolet, Guihur, Rebeaud, Mulot, Peiffer-Smadja et al., Effect of hydroxychloroquine with or without azithromycin on the mortality of coronavirus disease 2019 (COVID-19) patients: a systematic review and meta-analysis, Clin Microbiol Infect Off Publ Eur Soc Clin Microbiol Infect Dis
Gautret, Lagier, Parola, Hoang, Meddeb et al., Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open-label non-randomized clinical trial, Int J Antimicrob Agents,
doi:10.1016/j.ijantimicag.2020.105949
Greenwell, Boehmke, Cunningham, Developers, gbm: Generalized boosted regression models, R Packag version
Greifer, WeightIt: Weighting for Covariate Balance in Observational Studies
Ip, Berry, Hansen, Goy, Pecora et al., Hydroxychloroquine and tocilizumab therapy in COVID-19 patients-An observational study, PLoS One,
doi:10.1371/journal.pone.0237693
Kissler, Tedijanto, Goldstein, Grad, Lipsitch, Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period, Science,
doi:10.1126/science.abb5793
Ridgeway, Generalized Boosted Models: A guide to the gbm package, Update
Rosenberg, Dufort, Udo, Wilberschied, Kumar et al., Association of Treatment With Hydroxychloroquine or Azithromycin With In-Hospital Mortality in Patients With COVID-19 in New York State, JAMA,
doi:10.1001/jama.2020.8630
Singh, Singh, Singh, Misra, Hydroxychloroquine in patients with COVID-19: A Systematic Review and meta-analysis, Diabetes Metab Syndr,
doi:10.1016/j.dsx.2020.05.017
Yao, Ye, Zhang, Cui, Huang et al., Vitro Antiviral Activity and Projection of Optimized Dosing Design of Hydroxychloroquine for the Treatment of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), Clin Infect Dis an Off Publ Infect Dis Soc Am