Predictive value of clinical symptoms for COVID-19 diagnosis in young adults.
J Am Coll Health
; : 1-4, 2022 May 12.
Article
en En
| MEDLINE
| ID: mdl-35549824
ABSTRACT
Objective:
Assessment of predictive values of clinical symptoms for COVID-19 diagnosis in young adults.Participants:
Nonresidential university students (ages 18-25) participating in surveillance testing and mandatory symptom survey between 9/9/2020 and 11/25/2020.Methods:
Retrospective study of test results and symptom survey data.Results:
Among 6,489 individuals, 288 (4.4%) tested positive for COVID-19, 90 (31.3%) of whom reported symptoms. COVID-19 prevalence among individuals reporting and not reporting symptoms was 17.2% and 3.3%, respectively. The four symptoms with highest positive predictive values (PPVs) were smell/taste loss (PPV = 38.5%), chills (PPV = 31.5%), muscle/joint pain (PPV = 26.0%), and fever (PPV = 25.9%).Conclusions:
Institutions should emphasize COVID-19 risk for highly predictive symptoms in public health messaging to inform individuals on when to seek testing or self-isolation. However, low COVID-19 diagnostic accuracy of clinical symptoms and the high pre-symptomatic/asymptomatic rate (69%) highlight the limitations of voluntary testing strategies employed by higher education institutions during the original strain of SARS-CoV-2.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Tipo de estudio:
Diagnostic_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
J Am Coll Health
Año:
2022
Tipo del documento:
Article
País de afiliación:
Estados Unidos