Prediction of Prognosis in Patients with Severe Fever with Thrombocytopenia Syndrome.

This study aimed to understand the clinical characteristics of severe fever with thrombocytopenia syndrome (SFTS) and identify the risk factors for prognosis. In this retrospective study, we collected epidemiological, demographic, clinical, and laboratory data from 101 patients with SFTS. Patients were divided into survival and deceased groups, and a logistic regression model was used to evaluate the association between the predictors and prognostic variables. A joint detection factor model was constructed, and a receiver operating characteristic curve was drawn. A nomogram was established using the R language, and its efficiency in diagnosing SFTS was evaluated using a calibration curve. Patients in the deceased group were more likely to be older, have a shorter hospitalization stay, and have renal and multiple organ failure than those in the survival group. Statistically significant differences were observed in the neutrophil percentage, lymphocyte percentage, neutrophil-to-lymphocyte ratio, platelet (PLT) count, aspartate aminotransferase (AST)/alanine transaminase (ALT) ratio, AST, blood urea nitrogen, lactate dehydrogenase, hydroxybutyrate dehydrogenase, thromboplastin time, and activated partial thromboplastin time between the two groups. Lymphocyte percentage, PLT count, and the AST/ALT ratio were independent risk factors for mortality in patients with SFTS. Thus, we established a prediction model for SFTS mortality with good efficiency.