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Clinical and Demographic Factors Associated With COVID-19, Severe COVID-19, and SARS-CoV-2 Infection in Adults: A Secondary Cross-Protocol Analysis of 4 Randomized Clinical Trials.
Theodore, Deborah A; Branche, Angela R; Zhang, Lily; Graciaa, Daniel S; Choudhary, Madhu; Hatlen, Timothy J; Osman, Raadhiya; Babu, Tara M; Robinson, Samuel T; Gilbert, Peter B; Follmann, Dean; Janes, Holly; Kublin, James G; Baden, Lindsey R; Goepfert, Paul; Gray, Glenda E; Grinsztejn, Beatriz; Kotloff, Karen L; Gay, Cynthia L; Leav, Brett; Miller, Jacqueline; Hirsch, Ian; Sadoff, Jerald; Dunkle, Lisa M; Neuzil, Kathleen M; Corey, Lawrence; Falsey, Ann R; El Sahly, Hana M; Sobieszczyk, Magdalena E; Huang, Yunda.
Afiliación
  • Theodore DA; Division of Infectious Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, New York.
  • Branche AR; Department of Medicine, Infectious Disease Division, University of Rochester, Rochester, New York.
  • Zhang L; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
  • Graciaa DS; Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia.
  • Choudhary M; Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
  • Hatlen TJ; Division of HIV, Harbor-UCLA Medical Center, Torrance, California.
  • Osman R; Perinatal HIV Research Unit, Chris Hani Baragwanath Academic Hospital, Soweto, South Africa.
  • Babu TM; Department of Medicine, Division of Allergy & Infectious Diseases, University of Washington, Seattle.
  • Robinson ST; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
  • Gilbert PB; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
  • Follmann D; Department of Biostatistics, University of Washington, Seattle.
  • Janes H; Biostatistics Research Branch, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, Maryland.
  • Kublin JG; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
  • Baden LR; Department of Biostatistics, University of Washington, Seattle.
  • Goepfert P; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
  • Gray GE; Brigham and Women's Hospital, Boston, Massachusetts.
  • Grinsztejn B; Division of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham, Birmingham.
  • Kotloff KL; Perinatal HIV Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
  • Gay CL; South African Medical Research Council, Cape Town, South Africa.
  • Leav B; Evandro Chagas National Institute of Infectious Diseases-Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
  • Miller J; Division of Infectious Disease and Tropical Pediatrics, Department of Pediatrics, University of Maryland School of Medicine, Baltimore.
  • Hirsch I; Department of Medicine, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore.
  • Sadoff J; Department of Medicine, Division of Infectious Diseases, UNC HIV Cure Center, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill.
  • Dunkle LM; Moderna, Cambridge, Massachusetts.
  • Neuzil KM; Moderna, Cambridge, Massachusetts.
  • Corey L; AstraZeneca BioPharmaceuticals, Cambridge, United Kingdom.
  • Falsey AR; Janssen Vaccines and Prevention, Leiden, the Netherlands.
  • El Sahly HM; Novavax, Gaithersburg, Maryland.
  • Sobieszczyk ME; Department of Medicine, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore.
  • Huang Y; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.
JAMA Netw Open ; 6(7): e2323349, 2023 Jul 03.
Article en En | MEDLINE | ID: mdl-37440227
ABSTRACT
Importance Current data identifying COVID-19 risk factors lack standardized outcomes and insufficiently control for confounders.

Objective:

To identify risk factors associated with COVID-19, severe COVID-19, and SARS-CoV-2 infection. Design, Setting, and

Participants:

This secondary cross-protocol analysis included 4 multicenter, international, randomized, blinded, placebo-controlled, COVID-19 vaccine efficacy trials with harmonized protocols established by the COVID-19 Prevention Network. Individual-level data from participants randomized to receive placebo within each trial were combined and analyzed. Enrollment began July 2020 and the last data cutoff was in July 2021. Participants included adults in stable health, at risk for SARS-CoV-2, and assigned to the placebo group within each vaccine trial. Data were analyzed from April 2022 to February 2023. Exposures Comorbid conditions, demographic factors, and SARS-CoV-2 exposure risk at the time of enrollment. Main Outcomes and

Measures:

Coprimary outcomes were COVID-19 and severe COVID-19. Multivariate Cox proportional regression models estimated adjusted hazard ratios (aHRs) and 95% CIs for baseline covariates, accounting for trial, region, and calendar time. Secondary outcomes included severe COVID-19 among people with COVID-19, subclinical SARS-CoV-2 infection, and SARS-CoV-2 infection.

Results:

A total of 57 692 participants (median [range] age, 51 [18-95] years; 11 720 participants [20.3%] aged ≥65 years; 31 058 participants [53.8%] assigned male at birth) were included. The analysis population included 3270 American Indian or Alaska Native participants (5.7%), 7849 Black or African American participants (13.6%), 17 678 Hispanic or Latino participants (30.6%), and 40 745 White participants (70.6%). Annualized incidence was 13.9% (95% CI, 13.3%-14.4%) for COVID-19 and 2.0% (95% CI, 1.8%-2.2%) for severe COVID-19. Factors associated with increased rates of COVID-19 included workplace exposure (high vs low aHR, 1.35 [95% CI, 1.16-1.58]; medium vs low aHR, 1.41 [95% CI, 1.21-1.65]; P < .001) and living condition risk (very high vs low risk aHR, 1.41 [95% CI, 1.21-1.66]; medium vs low risk aHR, 1.19 [95% CI, 1.08-1.32]; P < .001). Factors associated with decreased rates of COVID-19 included previous SARS-CoV-2 infection (aHR, 0.13 [95% CI, 0.09-0.19]; P < .001), age 65 years or older (aHR vs age <65 years, 0.57 [95% CI, 0.50-0.64]; P < .001) and Black or African American race (aHR vs White race, 0.78 [95% CI, 0.67-0.91]; P = .002). Factors associated with increased rates of severe COVID-19 included race (American Indian or Alaska Native vs White aHR, 2.61 [95% CI, 1.85-3.69]; multiracial vs White aHR, 2.19 [95% CI, 1.50-3.20]; P < .001), diabetes (aHR, 1.54 [95% CI, 1.14-2.08]; P = .005) and at least 2 comorbidities (aHR vs none, 1.39 [95% CI, 1.09-1.76]; P = .008). In analyses restricted to participants who contracted COVID-19, increased severe COVID-19 rates were associated with age 65 years or older (aHR vs <65 years, 1.75 [95% CI, 1.32-2.31]; P < .001), race (American Indian or Alaska Native vs White aHR, 1.98 [95% CI, 1.38-2.83]; Black or African American vs White aHR, 1.49 [95% CI, 1.03-2.14]; multiracial aHR, 1.81 [95% CI, 1.21-2.69]; overall P = .001), body mass index (aHR per 1-unit increase, 1.03 [95% CI, 1.01-1.04]; P = .001), and diabetes (aHR, 1.85 [95% CI, 1.37-2.49]; P < .001). Previous SARS-CoV-2 infection was associated with decreased severe COVID-19 rates (aHR, 0.04 [95% CI, 0.01-0.14]; P < .001). Conclusions and Relevance In this secondary cross-protocol analysis of 4 randomized clinical trials, exposure and demographic factors had the strongest associations with outcomes; results could inform mitigation strategies for SARS-CoV-2 and viruses with comparable epidemiological characteristics.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: JAMA Netw Open Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Aged80 / Humans / Male / Middle aged Idioma: En Revista: JAMA Netw Open Año: 2023 Tipo del documento: Article