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Predictive Model of Risk Factors for Secondary Venous Thromboembolism in Patients After Craniotomy
Yanfang Guo1, Haiying Su2, Haiming Yu2
1Department of Surgery, Wedoctor Primary Care Center, Beijing, China.
Summary
Patient age, Glasgow Coma Scale score, and prothrombin time are key risk factors for venous thromboembolism after craniotomy for brain tumors. This study identifies these predictors to improve patient outcomes.
Area of Science:
- Neurosurgery
- Critical Care Medicine
- Oncology
Background:
- Postoperative venous thromboembolism (VTE) is a significant complication following craniotomy, particularly in patients with intracranial tumors.
- Identifying risk factors is crucial for effective prevention strategies in neurosurgical oncology.
Purpose of the Study:
- To investigate the clinical features and identify independent risk factors for VTE in patients undergoing craniotomy for intracranial tumors.
- To develop a predictive model for VTE risk in this patient population.
Main Methods:
- Retrospective analysis of 728 patients from the Medical Information Mark for Intensive Care (MIMIC) database.
- Univariate and multivariate logistic regression analyses were used to identify risk factors.
- A predictive nomogram was constructed using R software and validated with receiver operating characteristic (ROC) curve analysis.
Main Results:
- The incidence of postoperative VTE was 19.2% among the studied craniotomy patients.
- Independent risk factors identified include patient age, initial Glasgow Coma Scale (GCS) score, and prothrombin time.
- The developed nomogram demonstrated good predictive performance with an area under the curve (AUC) of 0.7463.
Conclusions:
- Patient age, GCS score, and prothrombin time are significant independent risk factors for VTE after craniotomy in patients with intracranial tumors.
- The developed nomogram provides a valuable tool for assessing VTE risk and guiding preventative measures.
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