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[Preprint]. 2021 Mar 20:2021.03.19.21253986.
doi: 10.1101/2021.03.19.21253986.

Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design

Elizabeth C Oelsner, Norrina Bai Allen, Tauqeer Ali, Pramod Anugu, Howard Andrews, Alyssa Asaro, Pallavi P Balte, R Graham Barr, Alain G Bertoni, Jessica Bon, Rebekah Boyle, Arunee A Chang, Grace Chen, Shelley A Cole, Josef Coresh, Elaine Cornell, Adolfo Correa, David Couper, Mary Cushman, Ryan T Demmer, Mitchell S V Elkind, Aaron R Folsom, Amanda M Fretts, Kelley Pettee Gabriel, Linda Gallo, Jose Gutierrez, MeiLan K Han, Joel M Henderson, Virginia J Howard, Carmen R Isasi, David R Jacobs, Suzanne E Judd, Debora Kamin Mukaz, Alka M Kanaya, Namratha R Kandula, Robert Kaplan, Akshaya Krishnaswamy, Gregory L Kinney, Anna Kucharska-Newton, Joyce S Lee, Cora E Lewis, Deborah A Levine, Emily B Levitan, Bruce Levy, Barry Make, Kimberly Malloy, Jennifer J Manly, Katie A Meyer, Yuan-I Min, Matthew Moll, Wendy C Moore, Dave Mauger, Victor E Ortega, Priya Palta, Monica M Parker, Wanda Phipatanakul, Wendy Post, Bruce M Psaty, Elizabeth A Regan, Kimberly Ring, Véronique L Roger, Jerome I Rotter, Tatjana Rundek, Ralph L Sacco, Michael Schembri, David A Schwartz, Sudha Seshadri, James M Shikany, Mario Sims, Karen D Hinckley Stukovsky, Gregory A Talavera, Russell P Tracy, Jason G Umans, Ramachandran S Vasan, Karol Watson, Sally E Wenzel, Karen Winters, Prescott G Woodruff, Vanessa Xanthakis, Ying Zhang, Yiyi Zhang; C4R Investigators

Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design

Elizabeth C Oelsner et al. medRxiv. .

Update in

  • Collaborative Cohort of Cohorts for COVID-19 Research (C4R) Study: Study Design.
    Oelsner EC, Krishnaswamy A, Balte PP, Allen NB, Ali T, Anugu P, Andrews HF, Arora K, Asaro A, Barr RG, Bertoni AG, Bon J, Boyle R, Chang AA, Chen G, Coady S, Cole SA, Coresh J, Cornell E, Correa A, Couper D, Cushman M, Demmer RT, Elkind MSV, Folsom AR, Fretts AM, Gabriel KP, Gallo LC, Gutierrez J, Han MLK, Henderson JM, Howard VJ, Isasi CR, Jacobs DR Jr, Judd SE, Mukaz DK, Kanaya AM, Kandula NR, Kaplan RC, Kinney GL, Kucharska-Newton A, Lee JS, Lewis CE, Levine DA, Levitan EB, Levy BD, Make BJ, Malloy K, Manly JJ, Mendoza-Puccini C, Meyer KA, Min YN, Moll MR, Moore WC, Mauger D, Ortega VE, Palta P, Parker MM, Phipatanakul W, Post WS, Postow L, Psaty BM, Regan EA, Ring K, Roger VL, Rotter JI, Rundek T, Sacco RL, Schembri M, Schwartz DA, Seshadri S, Shikany JM, Sims M, Hinckley Stukovsky KD, Talavera GA, Tracy RP, Umans JG, Vasan RS, Watson KE, Wenzel SE, Winters K, Woodruff PG, Xanthakis V, Zhang Y, Zhang Y; C4R Investigators. Oelsner EC, et al. Am J Epidemiol. 2022 Jun 27;191(7):1153-1173. doi: 10.1093/aje/kwac032. Am J Epidemiol. 2022. PMID: 35279711 Free PMC article.

Abstract

The Collaborative Cohort of Cohorts for COVID-19 Research (C4R) is a national prospective study of adults at risk for coronavirus disease 2019 (COVID-19) comprising 14 established United States (US) prospective cohort studies. For decades, C4R cohorts have collected extensive data on clinical and subclinical diseases and their risk factors, including behavior, cognition, biomarkers, and social determinants of health. C4R will link this pre-COVID phenotyping to information on SARS-CoV-2 infection and acute and post-acute COVID-related illness. C4R is largely population-based, has an age range of 18-108 years, and broadly reflects the racial, ethnic, socioeconomic, and geographic diversity of the US. C4R is ascertaining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and COVID-19 illness using standardized questionnaires, ascertainment of COVID-related hospitalizations and deaths, and a SARS-CoV-2 serosurvey via dried blood spots. Master protocols leverage existing robust retention rates for telephone and in-person examinations, and high-quality events surveillance. Extensive pre-pandemic data minimize referral, survival, and recall bias. Data are being harmonized with research-quality phenotyping unmatched by clinical and survey-based studies; these will be pooled and shared widely to expedite collaboration and scientific findings. This unique resource will allow evaluation of risk and resilience factors for COVID-19 severity and outcomes, including post-acute sequelae, and assessment of the social and behavioral impact of the pandemic on long-term trajectories of health and aging.

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