Distinguishing SARS-CoV-2 Infection and Non-SARS-CoV-2 Viral Infections in Adult Patients through Clinical Score Tools

Tropical Medicine and Infectious Disease

article

Rujipas Sirijatuphat¹  Kulprasut Sirianan¹  Navin Horthongkham²  Chulaluk Komoltri³  Nasikarn Angkasekwinai¹ 

[1] Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University;Department of Microbiology, Faculty of Medicine Siriraj Hospital, Mahidol University;Department of Clinical Epidemiology, Siriraj Medical Research Center, Faculty of Medicine Siriraj Hospital, Mahidol University

关键词: COVID-19;    SARS-CoV-2;    influenza;    respiratory syncytial virus;    dengue;    chikungunya;    zika;    predictor;    score;   

DOI  :  10.3390/tropicalmed8010061

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

50 years, the presence of underlying disease, rhinorrhea, productive sputum, and lymphocyte count < 1000 cell/mm3. Likewise, the five independent predictors of dengue were headache, myalgia, no cough, platelet count < 150,000/mm3, and lymphocyte count < 1000 cell/mm3. The Flu-RSV/COVID score (cut-off value of 4) demonstrated 88% sensitivity and specificity for predicting influenza/RSV (AUROC = 0.94). The Dengue/COVID score (cut-off value of 4) achieved 91% sensitivity and 94% specificity for differentiating dengue and COVID-19 (AUROC = 0.98). The Flu-RSV/COVID and Dengue/COVID scores had a high discriminative ability for differentiating influenza/RSV or dengue infection and COVID-19. The further validation of these scores is needed to ensure their utility in clinical practice.

【 授权许可】

CC BY