The emergence, surge and subsequent wave of the SARS-CoV-2 pandemic in New York metropolitan area: The view from a major region-wide urgent care provider.


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
12 Apr 2021
Historique:
entrez: 21 4 2021
pubmed: 22 4 2021
medline: 22 4 2021
Statut: epublish

Résumé

Describing SARS-CoV-2 testing and positivity trends among urgent care users is crucial for understanding the trajectory of the pandemic. To describe demographic and clinical characteristics, positivity rates, and repeat testing patterns among patients tested for SARS-CoV-2 at CityMD, an urgent care provider in the New York City metropolitan area. Retrospective study of all persons testing for SARS-CoV-2 between March 1, 2020 and January 8, 2021 at 115 CityMD locations in the New York metropolitan area. Individuals receiving a SARS-CoV-2 diagnostic or serologic test. Test and individual level SARS-CoV-2 positivity by PCR, rapid antigen, or serologic tests. During the study period, 3.4 million COVID tests were performed on 1.8 million individuals. In New York City, CityMD diagnosed 268,298 individuals, including 17% of all reported cases. Testing levels were higher among 20-29 year olds, non-Hispanic Whites, and females compared with other groups. About 24.8% (n=464,902) were repeat testers. Test positivity was higher in non-Hispanic Black (6.4%), Hispanic (8.0%), and Native American (8.0%) patients compared to non-Hispanic White (5.4%) patients. Overall seropositivity was estimated to be 21.7% (95% Confidence Interval [CI]: 21.6-21.8) and was highest among 10-14 year olds (27.3%). Seropositivity was also high among non-Hispanic Black (24.5%) and Hispanic (30.6%) testers, and residents of the Bronx (31.3%) and Queens (30.5%). Using PCR as the gold standard, SARS-CoV-2 rapid tests had a false positive rate of 5.4% (95%CI 5.3-5.5). Urgent care centers can provide broad access to critical evaluation, diagnostic testing and treatment of a substantial number of ambulatory patients during pandemics, especially in population-dense, urban epicenters.

Sections du résumé

BACKGROUND BACKGROUND
Describing SARS-CoV-2 testing and positivity trends among urgent care users is crucial for understanding the trajectory of the pandemic.
OBJECTIVE OBJECTIVE
To describe demographic and clinical characteristics, positivity rates, and repeat testing patterns among patients tested for SARS-CoV-2 at CityMD, an urgent care provider in the New York City metropolitan area.
DESIGN METHODS
Retrospective study of all persons testing for SARS-CoV-2 between March 1, 2020 and January 8, 2021 at 115 CityMD locations in the New York metropolitan area.
PATIENTS METHODS
Individuals receiving a SARS-CoV-2 diagnostic or serologic test.
MEASUREMENTS METHODS
Test and individual level SARS-CoV-2 positivity by PCR, rapid antigen, or serologic tests.
RESULTS RESULTS
During the study period, 3.4 million COVID tests were performed on 1.8 million individuals. In New York City, CityMD diagnosed 268,298 individuals, including 17% of all reported cases. Testing levels were higher among 20-29 year olds, non-Hispanic Whites, and females compared with other groups. About 24.8% (n=464,902) were repeat testers. Test positivity was higher in non-Hispanic Black (6.4%), Hispanic (8.0%), and Native American (8.0%) patients compared to non-Hispanic White (5.4%) patients. Overall seropositivity was estimated to be 21.7% (95% Confidence Interval [CI]: 21.6-21.8) and was highest among 10-14 year olds (27.3%). Seropositivity was also high among non-Hispanic Black (24.5%) and Hispanic (30.6%) testers, and residents of the Bronx (31.3%) and Queens (30.5%). Using PCR as the gold standard, SARS-CoV-2 rapid tests had a false positive rate of 5.4% (95%CI 5.3-5.5).
CONCLUSION CONCLUSIONS
Urgent care centers can provide broad access to critical evaluation, diagnostic testing and treatment of a substantial number of ambulatory patients during pandemics, especially in population-dense, urban epicenters.

Identifiants

pubmed: 33880480
doi: 10.1101/2021.04.06.21255009
pmc: PMC8057248
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIAID NIH HHS
ID : UH3 AI133675
Pays : United States

Commentaires et corrections

Type : UpdateIn

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Auteurs

Madhura S Rane (MS)

Institute for Implementation Science in Population Health, City University of New York. New York, NY USA.

Angela Profeta (A)

CityMD/Summit Medical Group, New York, NY, USA.

Emily Poehlein (E)

Institute for Implementation Science in Population Health, City University of New York. New York, NY USA.

Sarah Kulkarni (S)

Institute for Implementation Science in Population Health, City University of New York. New York, NY USA.

McKaylee Robertson (M)

Institute for Implementation Science in Population Health, City University of New York. New York, NY USA.

Chris Gainus (C)

CityMD/Summit Medical Group, New York, NY, USA.

Ashish Parikh (A)

CityMD/Summit Medical Group, New York, NY, USA.

Kerry LeBenger (K)

CityMD/Summit Medical Group, New York, NY, USA.

Daniel Frogel (D)

CityMD/Summit Medical Group, New York, NY, USA.

Denis Nash (D)

Institute for Implementation Science in Population Health, City University of New York. New York, NY USA.
Department of Epidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York. New York, NY USA.

Classifications MeSH