Your browser doesn't support javascript.
loading
Demographic disparities in clinical outcomes of COVID-19: data from a statewide cohort in South Carolina
Xueying YANG; Jiajia Zhang; Shujie Chen; Larisa Bruner; Abdoulaye Diedhiou; Cheryl Scott; Ali Mansaray; Sharon Weissman; Xiaoming Li.
Afiliação
  • Xueying YANG; University of South Carolina
  • Jiajia Zhang; University of South Carolina
  • Shujie Chen; University of South Carolina
  • Larisa Bruner; South Carolina Department of Health and Environmental Control
  • Abdoulaye Diedhiou; South Carolina Department of Health and Environmental Control
  • Cheryl Scott; South Carolina Department of Health and Environmental Control
  • Ali Mansaray; South Carolina Department of Health and Environmental Control
  • Sharon Weissman; University of South Carolina
  • Xiaoming Li; University of South Carolina
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21257489
Artigo de periódico
Um artigo publicado em periódico científico está disponível e provavelmente é baseado neste preprint, por meio do reconhecimento de similaridade realizado por uma máquina. A confirmação humana ainda está pendente.
Ver artigo de periódico
ABSTRACT
BackgroundCurrent literature examining the clinical characteristics of COVID-19 patients under-represent COVID-19 cases who were either asymptomatic or had a mild illness. ObjectiveTo generate a state-level description and examine the demographic disparities of clinical outcomes of COVID-19. DesignStatewide population-based cohort study SettingCOVID-19 surveillance facilities in South Carolina PatientsAdults COVID-19 cases reported to the SC DHEC by Case Report Form during March 04-December 31, 2020 MeasurementsThe primary predictors were socio-demographic characteristics. The outcomes were COVID-19 disease severity, hospitalization, and mortality, which collected from the standardized CRF. ResultsAmong a total of 280,177 COVID-19 cases, 5.2% (14,451) were hospitalized and 1.9% (5,308) died. Individuals who were older, male gender, Blacks, Hispanic or Latino, and residing in small towns had higher odds for hospitalization and death from COVID-19 (Ps<0.0001). Regarding disease severity, 144,157 (51.5%) were asymptomatic, while 34.4% and 14.2% had mild and moderate/severe symptoms, respectively. Older individuals (OR 1.14, 95%CI 1.11, 1.18), Hispanic or Latino (OR 2.07; 95%CI 1.96, 2.18), and people residing in small towns (OR 1.15; 95%CI 1.08, 1.23) had higher odds of experiencing moderate/severe symptoms, while male and Asian (vs Whites) patients had lower odds of experiencing moderate/severe symptoms. LimitationsPotential misclassification of outcomes due to missing data; other variables were not evaluated, such as comorbidities. ConclusionAs the first statewide population-based study using data from multiple healthcare systems with a long follow-up period in the US, we provide a more generalizable picture of COVID-19 symptoms and clinical outcomes. The findings from this study reinforce the fact that rural residence, racial and ethnic social determinants of health, unfortunately, remain predictors of poor health outcomes for COVID-19 patients.
Licença
cc_no
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
...