Prospective Clinical Assessments of Hospitalized Patients With Positive SARS-CoV-2 PCR Tests for Necessity of Isolation
Open Access
- 16 April 2021
- journal article
- research article
- Published by Oxford University Press (OUP) in Open Forum Infectious Diseases
- Vol. 8 (7), ofab194
- https://doi.org/10.1093/ofid/ofab194
Abstract
We prospectively assessed 536 hospitalized patients with positive SARS-CoV-2 PCR tests for infectiousness based on symptoms, cycle thresholds, and SARS-CoV-2 history, with repeat testing and serologies in select cases. 148 (28%) patients were deemed non-infectious, most with evidence of prior infection, and managed on standard precautions without evidence of transmission.Funding Information
- Centers for Disease Control and Prevention (6U54CK000484-04-02)
This publication has 12 references indexed in Scilit:
- Estimation of US SARS-CoV-2 Infections, Symptomatic Infections, Hospitalizations, and Deaths Using Seroprevalence SurveysJAMA Network Open, 2021
- Reinfection With SARS-CoV-2: Implications for VaccinesClinical Infectious Diseases, 2020
- Rethinking Covid-19 Test Sensitivity — A Strategy for ContainmentThe New England Journal of Medicine, 2020
- Estimated Incidence of Coronavirus Disease 2019 (COVID-19) Illness and Hospitalization—United States, February–September 2020Clinical Infectious Diseases, 2020
- Coronavirus Disease 2019 Serial Testing Among Hospitalized Patients in a Midwest Tertiary Medical Center, July–September 2020Clinical Infectious Diseases, 2020
- False-positive COVID-19 results: hidden problems and costsThe Lancet Respiratory Medicine, 2020
- Incidence of Nosocomial COVID-19 in Patients Hospitalized at a Large US Academic Medical CenterJAMA Network Open, 2020
- Duration of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infectivity: When Is It Safe to Discontinue Isolation?Clinical Infectious Diseases, 2020
- Duration of infectiousness and correlation with RT-PCR cycle threshold values in cases of COVID-19, England, January to May 2020Eurosurveillance, 2020
- Predicting Infectious Severe Acute Respiratory Syndrome Coronavirus 2 From Diagnostic SamplesClinical Infectious Diseases, 2020