Self-Assessed Severity as a Determinant of Coronavirus Disease 2019 Symptom Specificity: A Longitudinal Cohort Study

Anna Bershteyn, Angela M. Dahl, Tracy Q. Dong, Meagan E. Deming, Connie L. Celum, Helen Y. Chu, Angelica C. Kottkamp, Alexander L. Greninger, Risa M. Hoffman, Keith R. Jerome, Christine M. Johnston, Patricia J. Kissinger, Raphael J. Landovitz, Miriam K. Laufer, Alfred Luk, Kathleen M. Neuzil, Michael K. Paasche-Orlow, Robert A. Pitts, Mark D. Schwartz, Helen C. Stankiewicz KaritaLorna E. Thorpe, Anna Wald, Crystal Y. Zheng, Mark H. Wener, Ruanne V. Barnabas, Elizabeth R. Brown

Research output: Contribution to journalArticlepeer-review

Abstract

Coronavirus disease 2019 symptom definitions rarely include symptom severity. We collected daily nasal swab samples and symptom diaries from contacts of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) case patients. Requiring ≥1 moderate or severe symptom reduced sensitivity to predict SARS-CoV-2 shedding from 60.0% (95% confidence interval [CI], 52.9%-66.7%) to 31.5% (95% CI, 25.7%- 38.0%) but increased specificity from 77.5% (95% CI, 75.3%-79.5%) to 93.8% (95% CI, 92.7%-94.8%).

Original languageEnglish (US)
Pages (from-to)e1180-e1183
JournalClinical Infectious Diseases
Volume75
Issue number1
DOIs
StatePublished - Aug 24 2022

Keywords

  • COVID-19
  • SARS-CoV-2
  • screening
  • severity
  • symptoms

ASJC Scopus subject areas

  • Microbiology (medical)
  • Infectious Diseases

Fingerprint

Dive into the research topics of 'Self-Assessed Severity as a Determinant of Coronavirus Disease 2019 Symptom Specificity: A Longitudinal Cohort Study'. Together they form a unique fingerprint.

Cite this