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Factors associated with COVID-19 viral and antibody test positivity and assessment of test concordance: a retrospective cohort study using electronic health records from the USA.
Lindsay, Lisa; Secrest, Matthew H; Rizzo, Shemra; Keebler, Daniel S; Yang, Fei; Tsai, Larry.
Afiliação
  • Lindsay L; Personalized Healthcare, Data Science, Genentech, South San Francisco, California, USA lindsal1@gene.com.
  • Secrest MH; Personalized Healthcare, Data Science, Genentech, South San Francisco, California, USA.
  • Rizzo S; Personalized Healthcare, Data Science, Genentech, South San Francisco, California, USA.
  • Keebler DS; Personalized Healthcare, Data Science, Genentech, South San Francisco, California, USA.
  • Yang F; Roche Information Solutions, Roche Diagnostics International, Rotkreuz, Switzerland.
  • Tsai L; Product Development, Genentech, South San Francisco, California, USA.
BMJ Open ; 11(10): e051707, 2021 10 01.
Article em En | MEDLINE | ID: mdl-34598988
ABSTRACT

OBJECTIVES:

To identify factors associated with COVID-19 test positivity and assess viral and antibody test concordance.

DESIGN:

Observational retrospective cohort study.

SETTING:

Optum de-identified electronic health records including over 700 hospitals and 7000 clinics in the USA.

PARTICIPANTS:

There were 891 754 patients who had a COVID-19 test identified in their electronic health record between 20 February 2020 and 10 July 2020. PRIMARY AND SECONDARY OUTCOME

MEASURES:

Per cent of viral and antibody tests positive for COVID-19 ('positivity rate'); adjusted ORs for factors associated with COVID-19 viral and antibody test positivity; and per cent concordance between positive viral and subsequent antibody test results.

RESULTS:

Overall positivity rate was 9% (70 472 of 771 278) and 12% (11 094 of 91 741) for viral and antibody tests, respectively. Positivity rate was inversely associated with the number of individuals tested and decreased over time across regions and race/ethnicities. Antibody test concordance among patients with an initial positive viral test was 91% (71%-95% depending on time between tests). Among tests separated by at least 2 weeks, discordant results occurred in 7% of patients and 9% of immunocompromised patients. Factors associated with increased odds of viral and antibody positivity in multivariable models included male sex, Hispanic or non-Hispanic black or Asian race/ethnicity, uninsured or Medicaid insurance and Northeast residence. We identified a negative dose effect between the number of comorbidities and viral and antibody test positivity. Paediatric patients had reduced odds (OR=0.60, 95% CI 0.57 to 0.64) of a positive viral test but increased odds (OR=1.90, 95% CI 1.62 to 2.23) of a positive antibody test compared with those aged 18-34 years old.

CONCLUSIONS:

This study identified sociodemographic and clinical factors associated with COVID-19 test positivity and provided real-world evidence demonstrating high antibody test concordance among viral-positive patients.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / COVID-19 Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Registros Eletrônicos de Saúde / COVID-19 Idioma: En Ano de publicação: 2021 Tipo de documento: Article