Prediction of poor prognosis in patients with sepsis-induced coagulopathy

This study aims to evaluate the prognostic value of procalcitonin (PCT), lactate (Lac), and sequential organ failure assessment (SOFA) score in predicting poor outcomes in sepsis-induced coagulopathy (SIC) and develop a predictive model. Data from 96 SIC patients in Hebei General Hospital (September 2020-2023) were analyzed. Patients were divided into survival and death groups based on 28-day outcomes. General data, complications, infection sites, and laboratory parameters were compared. Logistic regression identified independent risk factors, and receiver operating characteristic curve analysis assessed the predictive value of PCT, Lac, SOFA scores, and the combined model. The 28-day mortality was 36.46%. Non-survivors had higher PCT, Lac, SOFA scores, prothrombin time-international normalized ratio, white blood cell count, and intensive care unit stays (P < .05). PCT, Lac, and SOFA scores were independent predictors. The predictive model equation was logit (P = death group) = 0.157 × SOFA score + 0.027 × PCT + 0.187 × Lac - 4.112. The areas under the curve (AUC) of the combined predictive model was 0.809 (95%, confidence intervals [95% CI]: 0.716-0.882), outperformed individual indicators with improved sensitivity and specificity. A combined model of PCT, Lac, and SOFA scores effectively predicts SIC prognosis, aiding clinical decision-making.