Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database

ABSTRACT In the absence of genome sequencing, two positive molecular tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) separated by negative tests, prolonged time, and symptom resolution remain the best surrogate measure of possible reinfection. Using a large electronic health r...

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Main Authors: Xiao Dong, Yujia Zhou, Xiao-ou Shu, Elmer V. Bernstam, Rebecca Stern, David M. Aronoff, Hua Xu, Loren Lipworth
Format: Article
Language:English
Published: American Society for Microbiology 2021-09-01
Series:Microbiology Spectrum
Subjects:
Online Access:https://journals.asm.org/doi/10.1128/Spectrum.00327-21
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author Xiao Dong
Yujia Zhou
Xiao-ou Shu
Elmer V. Bernstam
Rebecca Stern
David M. Aronoff
Hua Xu
Loren Lipworth
author_facet Xiao Dong
Yujia Zhou
Xiao-ou Shu
Elmer V. Bernstam
Rebecca Stern
David M. Aronoff
Hua Xu
Loren Lipworth
author_sort Xiao Dong
collection DOAJ
description ABSTRACT In the absence of genome sequencing, two positive molecular tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) separated by negative tests, prolonged time, and symptom resolution remain the best surrogate measure of possible reinfection. Using a large electronic health record database, we characterized clinical and testing data for 23 patients with repeatedly positive SARS-CoV-2 PCR test results ≥60 days apart, separated by ≥2 consecutive negative test results. The prevalence of chronic medical conditions, symptoms, and severe outcomes related to coronavirus disease 19 (COVID-19) illness were ascertained. The median age of patients was 64.5 years, 40% were Black, and 39% were female. A total of 83% smoked within the prior year, 61% were overweight/obese, 83% had immunocompromising conditions, and 96% had ≥2 comorbidities. The median interval between the two positive tests was 77 days. Among the 19 patients with 60 to 89 days between positive tests, 17 (89%) exhibited symptoms or clinical manifestations consistent with COVID-19 at the time of the second positive test and 14 (74%) were hospitalized at the second positive test. Of the four patients with ≥90 days between two positive tests (patient 2 [PT2], PT8, PT14, and PT19), two had mild or no symptoms at the second positive test and one, an immunocompromised patient, had a brief hospitalization at the first diagnosis, followed by intensive care unit (ICU) admission at the second diagnosis 3 months later. Our study demonstrated a high prevalence of compromised immune systems, comorbidities, obesity, and smoking among patients with repeatedly positive SARS-CoV-2 tests. Despite limitations, including a lack of semiquantitative estimates of viral load, these data may help prioritize suspected cases of reinfection for investigation and continued surveillance. IMPORTANCE The comprehensive characterization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing and clinical data for patients with repeatedly positive SARS-CoV-2 tests can help prioritize suspected cases of reinfection for investigation in the absence of genome sequencing data and for continued surveillance of the potential long-term health consequences of SARS-CoV-2 infection.
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spelling doaj.art-6317713277874f168fa7af4e524438aa2022-12-21T21:19:21ZengAmerican Society for MicrobiologyMicrobiology Spectrum2165-04972021-09-019110.1128/Spectrum.00327-21Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record DatabaseXiao Dong0Yujia Zhou1Xiao-ou Shu2Elmer V. Bernstam3Rebecca Stern4David M. Aronoff5Hua Xu6Loren Lipworth7School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USASchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USADivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USASchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USADivision of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USADivision of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USASchool of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USADivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USAABSTRACT In the absence of genome sequencing, two positive molecular tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) separated by negative tests, prolonged time, and symptom resolution remain the best surrogate measure of possible reinfection. Using a large electronic health record database, we characterized clinical and testing data for 23 patients with repeatedly positive SARS-CoV-2 PCR test results ≥60 days apart, separated by ≥2 consecutive negative test results. The prevalence of chronic medical conditions, symptoms, and severe outcomes related to coronavirus disease 19 (COVID-19) illness were ascertained. The median age of patients was 64.5 years, 40% were Black, and 39% were female. A total of 83% smoked within the prior year, 61% were overweight/obese, 83% had immunocompromising conditions, and 96% had ≥2 comorbidities. The median interval between the two positive tests was 77 days. Among the 19 patients with 60 to 89 days between positive tests, 17 (89%) exhibited symptoms or clinical manifestations consistent with COVID-19 at the time of the second positive test and 14 (74%) were hospitalized at the second positive test. Of the four patients with ≥90 days between two positive tests (patient 2 [PT2], PT8, PT14, and PT19), two had mild or no symptoms at the second positive test and one, an immunocompromised patient, had a brief hospitalization at the first diagnosis, followed by intensive care unit (ICU) admission at the second diagnosis 3 months later. Our study demonstrated a high prevalence of compromised immune systems, comorbidities, obesity, and smoking among patients with repeatedly positive SARS-CoV-2 tests. Despite limitations, including a lack of semiquantitative estimates of viral load, these data may help prioritize suspected cases of reinfection for investigation and continued surveillance. IMPORTANCE The comprehensive characterization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing and clinical data for patients with repeatedly positive SARS-CoV-2 tests can help prioritize suspected cases of reinfection for investigation in the absence of genome sequencing data and for continued surveillance of the potential long-term health consequences of SARS-CoV-2 infection.https://journals.asm.org/doi/10.1128/Spectrum.00327-21COVID-19EHRreinfection
spellingShingle Xiao Dong
Yujia Zhou
Xiao-ou Shu
Elmer V. Bernstam
Rebecca Stern
David M. Aronoff
Hua Xu
Loren Lipworth
Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database
Microbiology Spectrum
COVID-19
EHR
reinfection
title Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database
title_full Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database
title_fullStr Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database
title_full_unstemmed Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database
title_short Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database
title_sort comprehensive characterization of covid 19 patients with repeatedly positive sars cov 2 tests using a large u s electronic health record database
topic COVID-19
EHR
reinfection
url https://journals.asm.org/doi/10.1128/Spectrum.00327-21
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