Machine learning prediction of venous thromboembolism after surgeries of major sellar region tumors

To describe and predict the risk of venous thromboembolism (VTE) after surgical resection of major sellar region tumors. Patients with sellar region tumors were identified from a database. The outcome was VTE, including deep vein thrombosis (DVT) and pulmonary embolism (PE) within 60 days after surg...

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Bibliographic Details
Published in:Thrombosis research 2023-06, Vol.226, p.1-8
Main Authors: Qiao, Nidan, Zhang, Qilin, Chen, Li, He, Wenqiang, Ma, Zengyi, Ye, Zhao, He, Min, Zhang, Zhaoyun, Zhou, Xiang, Shen, Ming, Shou, Xuefei, Cao, Xiaoyun, Wang, Yongfei, Zhao, Yao
Format: Article
Language:English
Subjects:
Aged
Chordoma - complications
Craniopharyngioma
Craniopharyngioma - complications
Craniopharyngioma - surgery
Humans
Incidence
Neurosurgery
Pituitary adenoma
Pituitary Neoplasms - complications
Pituitary Neoplasms - surgery
Postoperative Complications - epidemiology
Postoperative Complications - etiology
Pulmonary Embolism - etiology
Risk Factors
Thrombosis
Venous Thromboembolism - complications
Venous Thromboembolism - etiology
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Summary:To describe and predict the risk of venous thromboembolism (VTE) after surgical resection of major sellar region tumors. Patients with sellar region tumors were identified from a database. The outcome was VTE, including deep vein thrombosis (DVT) and pulmonary embolism (PE) within 60 days after surgery. We trained regression and machine learning models to predict the outcome using baseline characteristics, surgical findings and postoperative laboratory tests. Among 3818 patients included, 124 patients developed VTE after surgery. The total 60-day VTE incidence was 3.2 %, with incidence peak within ten days after the surgery. The risk increased in patients >65 years old (OR 2.96, p 
ISSN:0049-3848
1879-2472
DOI:10.1016/j.thromres.2023.04.007