[Risk factors and construction of predictive model for severe viral pneumonia complicated with pulmonary invasive mold infection].

OBJECTIVE: To analyze the risk factors for pulmonary invasive mold infection (PIMI) in patients with severe viral pneumonia (SVP), construct a predictive model, and evaluate its efficacy. METHODS: ), and laboratory indicators at RICU admission. Variables with statistically significant differences in univariate analysis were included in multivariate Logistic regression analysis to identify the risk factors for PIMI and construct a risk prediction model. The effectiveness and application value of the prediction model were evaluated using the receiver operator characteristic curve (ROC curve), calibration curve, and decision curve analysis (DCA). The model was further validated in the validation set. RESULTS: at RICU admission, C-reactive protein (CRP) >50 mg/L, concurrent pulmonary bacterial infection, septic shock, and duration of broad-spectrum antimicrobial use≥14 days (all P1, all P