Coronavirus disease 19 in minority populations of Newark, New Jersey

Alexis K Okoh1, Christoph Sossou2, Neha S Dangayach2

  • 1Heart and Lung Research Center, RWJ Barnabas Health, Newark Beth Israel Medical Center, 201 Lyons, Avenue, Suite G5., Newark, New Jersey, 07112, USA. alexis.okoh@rwjbh.org.

Insights

Black/African American and Latino patients with COVID-19 faced high in-hospital mortality and morbidity. Older age and elevated inflammatory markers were key predictors of death in this underserved population.

Area of Science:

  • Medical research
  • Public health
  • Epidemiology

Background:

  • COVID-19 disproportionately affects minority populations.
  • Understanding clinical features and outcomes in Black/African American (AA) and Latino Hispanic patients is crucial.
  • An inter-city hospital in New Jersey provides a relevant setting for this study.

Purpose of the Study:

  • To report the clinical features and outcomes of Black/African American (AA) and Latino Hispanic patients hospitalized with COVID-19.
  • To analyze demographic, socioeconomic, and clinical data.
  • To identify predictors of in-hospital mortality.

Main Methods:

  • Retrospective cohort study of AA and Latino Hispanic patients with COVID-19.
  • Data collected from a 665-bed teaching hospital in Newark, New Jersey.
  • Logistic regression analysis to determine predictors of in-hospital death.

Main Results:

  • High incidence of in-hospital mortality (38.6%) and morbidity, including septic shock (24%), AKI requiring hemodialysis (21%), and ICU admission (33%).
  • Common symptoms included dyspnea (39%), cough (38%), and fever (34%).
  • Patients were from areas with high population density and low median income.

Conclusions:

  • Over one-third of underserved minority patients experienced in-hospital death or morbidity.
  • Older age, lower hemoglobin, and elevated inflammatory markers (Ferritin, Creatinine phosphokinase) were independent predictors of in-hospital mortality.
  • Findings highlight the vulnerability of minority populations to severe COVID-19 outcomes.
Abstract

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