Integration of individualized and population-level molecular epidemiology data to model COVID-19 outcomes.
Cell Rep Med
; 5(1): 101361, 2024 01 16.
Article
em En
| MEDLINE
| ID: mdl-38232695
ABSTRACT
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants with enhanced transmissibility and immune escape have emerged periodically throughout the coronavirus disease 2019 (COVID-19) pandemic, but the impact of these variants on disease severity has remained unclear. In this single-center, retrospective cohort study, we examined the association between SARS-CoV-2 clade and patient outcome over a two-year period in Chicago, Illinois. Between March 2020 and March 2022, 14,252 residual diagnostic specimens were collected from SARS-CoV-2-positive inpatients and outpatients alongside linked clinical and demographic metadata, of which 2,114 were processed for viral whole-genome sequencing. When controlling for patient demographics and vaccination status, several viral clades were associated with risk for hospitalization, but this association was negated by the inclusion of population-level confounders, including case count, sampling bias, and shifting standards of care. These data highlight the importance of integrating non-virological factors into disease severity and outcome models for the accurate assessment of patient risk.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
COVID-19
Tipo de estudo:
Guideline
/
Observational_studies
/
Prognostic_studies
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Risk_factors_studies
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Screening_studies
Limite:
Humans
Idioma:
En
Revista:
Cell Rep Med
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Estados Unidos