TITLE:
Diagnostic Accuracy and Predictive Value of Clinical Symptoms for the Diagnosis of Mild COVID-19
AUTHORS:
Vasyl Popovych, Ivana Koshel, Yulia Haman, Vitaly Leschak, Ruslan Duplikhin
KEYWORDS:
Diagnostic Accuracy, Predictive Values, COVID-19, Symptom
JOURNAL NAME:
Journal of Biosciences and Medicines,
Vol.9 No.6,
June
18,
2021
ABSTRACT: Objective: To assess the diagnostic accuracy and predictive values of clinical symptoms in patients with suspected mild COVID-19 to identify target groups for self-isolation and outpatient treatment without additional testing. Methods: We conducted an open-label prospective study in patients aged 18 to 72 years with suspected mild COVID-19. The clinical diagnosis was based on the acute onset of such symptoms as olfactory dysfunction, hyperthermia, myalgia, nasal congestion, nasal discharge, cough, rhinolalia, sore throat, without pneumonia in persons in contact with a confirmed case of COVID-19. The physician assessed clinical symptoms using a 4-point scale. The patient self-assessed clinical symptoms using a ten-point visual analogue scale (VAS). All enrolled patients underwent laboratory testing to confirm the diagnosis of COVID-19. Results: Of the 120 patients underwent testing, the diagnosis of mild COVID-19 was confirmed in 96 patients and ruled out in 24 patients. When assessing symptoms by a physician according to the correlation analysis, hyperthermia, myalgia, nasal congestion and rhinolalia have a positive predictive value with a significance level of more than 0.6. When self-assessing symptoms by a patient, fever, myalgia and nasal congestion have a diagnostic accuracy with a significance level of more than 0.5. Nasal discharge, cough and sore throat have negative predictive values. Conclusion: The presence of these symptoms in patients with an acute onset of the disease can help to make a clinical diagnosis of coronavirus disease and identify target groups for self-isolation and outpatient treatment without additional testing. Highly suspect asymptomatic patients are not considered as those who have possible mild COVID-19 infection.