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Factors associated with clinical severity in Emergency Department patients presenting with symptomatic SARS-CoV-2 infection.
Sophia Newton; Benjamin Zollinger; Jincong Freeman; Seamus Moran; Alexandra Helfand; Kayla Authelet; Matthew McHarg; Nataly Montano Vargas; Robert Shesser; Joanna Cohen; Derek A.T. Cummings; Yan Ma; Andrew C Meltzer.
Afiliación
  • Sophia Newton; George Washington University School of Medicine & Health Sciences
  • Benjamin Zollinger; George Washington University School of Medicine & Health Sciences
  • Jincong Freeman; George Washington University Milken Institute School of Public Health
  • Seamus Moran; George Washington University School of Medicine & Health Sciences
  • Alexandra Helfand; George Washington University School of Medicine & Health Sciences
  • Kayla Authelet; George Washington University School of Medicine & Health Sciences
  • Matthew McHarg; George Washington University School of Medicine & Health Sciences
  • Nataly Montano Vargas; George Washington University School of Medicine & Health Sciences
  • Robert Shesser; George Washington University School of Medicine & Health Sciences
  • Joanna Cohen; Children's National Medical Center
  • Derek A.T. Cummings; University of Florida
  • Yan Ma; George Washington University Milken Institute School of Public Health,
  • Andrew C Meltzer; George Washington University School of Medicine & Health Sciences
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20246017
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ABSTRACT
ObjectiveTo measure the association of race, ethnicity, comorbidities, and insurance status with need for hospitalization of symptomatic Emergency Department (ED) patients with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. MethodsThis study is a retrospective case-series of symptomatic patients presenting to a single ED with laboratory-confirmed SARS-CoV-2 infection from March 12-August 9, 2020. We collected patient-level information regarding demographics, public insurance status (Medicare or Medicaid), comorbidities, level of care, and mortality using a structured chart review. We compared demographics and comorbidities of patients who were (1) able to convalesce at home, (2) required admission to general medical service, (3) required admission to intensive care unit (ICU), or (4) died within 30 days of the index visit. Multivariable logistic regression analyses were performed to report adjusted odds ratios (aOR) and the associated 95% confidence intervals (95% CI) with hospital admission versus ED discharge home. ResultsIn total, 993 patients who presented to the ED with symptoms were included in the analysis with 370 (37.3%) patients requiring hospital admission and 70 (7.1%) patients requiring ICU care. Patients requiring admission were more likely to be Black or African American, to be Hispanic or Latino, or to have public insurance (either Medicaid or Medicare.) On multivariable logistic regression analysis comparing which patients required hospital admission, African-American race (aOR 1.4, 95% CI 0.7-2.8) and Hispanic ethnicity (aOR 1.1, 95% CI 0.5-2.0) were not associated with need for admission but, public insurance (Medicaid aOR 3.4, 95% CI 2.2-5.4; Medicare aOR 2.6, 95% CI 1.2-5.3; Medicaid and Medicare aOR 3.6 95% CI 2.1-6.2) and the presence of hypertension (aOR 1.8, 95% CI 1.2-2.7), diabetes (aOR 1.6, 95% CI 1.1-2.5), obesity (aOR 1.7, 95% CI 1.1-2.5), heart failure (aOR 3.9, 95% CI 1.4-11.2), and hyperlipidemia (aOR 1.8, 95% CI 1.2-2.9) were identified as independent predictors of hospital admission. ConclusionComorbidities and public insurance are predictors of more severe illness for patients with SARS-CoV-2. This study suggests that the disparities in severity seen in COVID-19 among African Americans and Hispanics are likely to be closely related to low socioeconomic status and chronic health conditions and do not reflect an independent predisposition to disease severity.
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Observational_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Preprint