Predictive Model of Risk Factors for Secondary Venous Thromboembolism in Patients After Craniotomy

Objective This study examines the clinical features and risk factors for postoperative venous thromboembolism in craniotomy patients with intracranial tumors. Methods In this study, we conducted an analysis using clinical data extracted from the Medical Information Mark for Intensive Care (MIMIC) database. Clinical data from the first day of ICU admission were utilized for our analysis. We employed univariate and multivariate logistic regression analyses to examine the factors influencing the outcome. A nomogram, constructed using the R software, was developed to predict the risk of secondary thromboembolism. Results A total of 728 eligible patients were included in this study, among whom the incidence of postoperative venous thromboembolism after craniotomy was found to be 19.2%. The age of the patients, along with their initial Glasgow Coma Scale score and prothrombin time, were identified as independent potential risk factors for the occurrence of venous thromboembolism in patients with intracranial tumors. These risk factors were incorporated into the predictive model, and a nomogram was constructed using the R software. By further conducting receiver operating characteristic curve analysis, the model exhibited an area under the curve of 0.7463 (95% CI 0.7056-0.7932). Simultaneously, we employed repeated sampling to construct a calibration curve, which demonstrated excellent model fit. Conclusion Patient age, Glasgow Coma Scale score, and prothrombin time have been identified as potential independent risk factors that may influence the occurrence of venous thromboembolism in patients with intracranial tumors.