Clinical characteristics of the first and second COVID-19 waves in the Bronx, New York: A retrospective cohort study.

Bronx COVID-19 Coronavirus Ethnicity Mortality Race Resurgence SARS-CoV-2

Journal

Lancet regional health. Americas
ISSN: 2667-193X
Titre abrégé: Lancet Reg Health Am
Pays: England
ID NLM: 9918232503006676

Informations de publication

Date de publication:
Nov 2021
Historique:
received: 19 04 2021
revised: 08 07 2021
accepted: 22 07 2021
pubmed: 24 8 2021
medline: 24 8 2021
entrez: 23 8 2021
Statut: ppublish

Résumé

There is limited clinical patient data comparing the first and second waves of the coronavirus disease 2019 (COVID-19) in the United States and the effects of a COVID-19 resurgence on different age, racial and ethnic groups. We compared the first and second COVID-19 waves in the Bronx, New York, among a racially and ethnically diverse population. Patients in this retrospective cohort study were included if they had a laboratory-confirmed SARS-CoV-2 infection by a real-time PCR test of a nasopharyngeal swab specimen detected between March 11, 2020, and January 21, 2021. Main outcome measures were critical care, in-hospital acquired disease and death. Patient demographics, comorbidities, vitals, and laboratory values were also collected. A total of 122,983 individuals were tested for SARS-CoV-2 infection, of which 12,659 tested positive. The second wave was characterized by a younger demographic, fewer comorbidities, less extreme laboratory values at presentation, and lower risk of adverse outcomes, including in-hospital mortality (adj. OR = 0·23, 99·5% CI = 0·17 to 0·30), hospitalization (adj. OR = 0·65, 99·5% CI = 0·58 to 0·74), invasive mechanical ventilation (adj. OR = 0·70, 99·5% CI = 0·56 to 0·89), acute kidney injury (adj. OR = 0·62, 99·5% CI = 0·54 to 0·71), and length of stay (adj. OR = 0·71, 99·5% CI = 0·60 to 0·85), with Black and Hispanic patients demonstrating most improvement in clinical outcomes. The second COVID-19 wave in the Bronx exhibits improved clinical outcomes compared to the first wave across all age, racial, and ethnic groups, with minority groups showing more improvement, which is encouraging news in the battle against health disparities.

Sections du résumé

BACKGROUND BACKGROUND
There is limited clinical patient data comparing the first and second waves of the coronavirus disease 2019 (COVID-19) in the United States and the effects of a COVID-19 resurgence on different age, racial and ethnic groups. We compared the first and second COVID-19 waves in the Bronx, New York, among a racially and ethnically diverse population.
METHODS METHODS
Patients in this retrospective cohort study were included if they had a laboratory-confirmed SARS-CoV-2 infection by a real-time PCR test of a nasopharyngeal swab specimen detected between March 11, 2020, and January 21, 2021. Main outcome measures were critical care, in-hospital acquired disease and death. Patient demographics, comorbidities, vitals, and laboratory values were also collected.
FINDINGS RESULTS
A total of 122,983 individuals were tested for SARS-CoV-2 infection, of which 12,659 tested positive. The second wave was characterized by a younger demographic, fewer comorbidities, less extreme laboratory values at presentation, and lower risk of adverse outcomes, including in-hospital mortality (adj. OR = 0·23, 99·5% CI = 0·17 to 0·30), hospitalization (adj. OR = 0·65, 99·5% CI = 0·58 to 0·74), invasive mechanical ventilation (adj. OR = 0·70, 99·5% CI = 0·56 to 0·89), acute kidney injury (adj. OR = 0·62, 99·5% CI = 0·54 to 0·71), and length of stay (adj. OR = 0·71, 99·5% CI = 0·60 to 0·85), with Black and Hispanic patients demonstrating most improvement in clinical outcomes.
INTERPRETATION CONCLUSIONS
The second COVID-19 wave in the Bronx exhibits improved clinical outcomes compared to the first wave across all age, racial, and ethnic groups, with minority groups showing more improvement, which is encouraging news in the battle against health disparities.

Identifiants

pubmed: 34423331
doi: 10.1016/j.lana.2021.100041
pii: S2667-193X(21)00033-8
pmc: PMC8367084
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100041

Informations de copyright

© 2021 The Author(s). Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

None.

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Auteurs

Wouter S Hoogenboom (WS)

Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.

Antoine Pham (A)

Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.

Harnadar Anand (H)

Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.

Roman Fleysher (R)

Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.

Alexandra Buczek (A)

Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.

Selvin Soby (S)

Center for Health Data Innovations, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.

Parsa Mirhaji (P)

Center for Health Data Innovations, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.
Department of Systems & Computational Biology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.

Judy Yee (J)

Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.

Tim Q Duong (TQ)

Department of Radiology, Albert Einstein College of Medicine and Montefiore Medical Center, Bronx, NY, USA.

Classifications MeSH