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COVID-19 Outcomes and Genomic Characterization of SARS-CoV-2 Isolated From Veterans in New England States: Retrospective Analysis.
Lee, Megan; Sallah, Ya Haddy; Petrone, Mary; Ringer, Matthew; Cosentino, Danielle; Vogels, Chantal B F; Fauver, Joseph R; Alpert, Tara D; Grubaugh, Nathan D; Gupta, Shaili.
Afiliação
  • Lee M; Yale School of Medicine West Haven, CT United States.
  • Sallah YH; Yale School of Medicine West Haven, CT United States.
  • Petrone M; Yale School of Public Health New Haven, CT United States.
  • Ringer M; Yale School of Medicine West Haven, CT United States.
  • Cosentino D; VA Connecticut Healthcare System West Haven, CT United States.
  • Vogels CBF; Yale School of Public Health New Haven, CT United States.
  • Fauver JR; Yale School of Public Health New Haven, CT United States.
  • Alpert TD; Yale School of Public Health New Haven, CT United States.
  • Grubaugh ND; Yale School of Public Health New Haven, CT United States.
  • Gupta S; Yale School of Medicine West Haven, CT United States.
JMIRx Med ; 2(4): e31503, 2021.
Article em En | MEDLINE | ID: mdl-35014989
ABSTRACT

BACKGROUND:

Clinical and virologic characteristics of COVID-19 infections in veterans in New England have not been described. The average US veteran is a male older than the general US population. SARS-CoV-2 infection is known to cause poorer outcomes among men and older adults, making the veteran population an especially vulnerable group for COVID-19.

OBJECTIVE:

This study aims to evaluate clinical and virologic factors impacting COVID-19 outcomes.

METHODS:

This retrospective chart review included 476 veterans in six New England states with confirmed SARS-CoV-2 infection between April and September 2020. Whole genome sequencing was performed on SARS-CoV-2 RNA isolated from these veterans, and the correlation of genomic data to clinical outcomes was evaluated. Clinical and demographic variables were collected by manual chart review and were correlated to the end points of peak disease severity (based on oxygenation requirements), hospitalization, and mortality using multivariate regression analyses.

RESULTS:

Of 476 veterans, 274 had complete and accessible charts. Of the 274 veterans, 92.7% (n=254) were men and 83.2% (n=228) were White, and the mean age was 63 years. In the multivariate regression, significant predictors of hospitalization (C statistic 0.75) were age (odds ratio [OR] 1.05, 95% CI 1.03-1.08) and non-White race (OR 2.39, 95% CI 1.13-5.01). Peak severity (C statistic 0.70) also varied by age (OR 1.07, 95% CI 1.03-1.11) and O2 requirement on admission (OR 45.7, 95% CI 18.79-111). Mortality (C statistic 0.87) was predicted by age (OR 1.06, 95% CI 1.01-1.11), dementia (OR 3.44, 95% CI 1.07-11.1), and O2 requirement on admission (OR 6.74, 95% CI 1.74-26.1). Most (291/299, 97.3%) of our samples were dominated by the spike protein D614G substitution and were from SARS-CoV-2 B.1 lineage or one of 37 different B.1 sublineages, with none representing more than 8.7% (26/299) of the cases.

CONCLUSIONS:

In a cohort of veterans from the six New England states with a mean age of 63 years and a high comorbidity burden, age was the largest predictor of hospitalization, peak disease severity, and mortality. Non-White veterans were more likely to be hospitalized, and patients who required oxygen on admission were more likely to have severe disease and higher rates of mortality. Multiple SARS-CoV-2 lineages were distributed in patients in New England early in the COVID-19 era, mostly related to viruses from New York State with D614G mutation.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIRx Med Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JMIRx Med Ano de publicação: 2021 Tipo de documento: Article