Correlation Between Statin Use and Symptomatic Venous Thromboembolism Incidence in Patients With Ankle Fracture: A Machine Learning Approach.

Foot & ankle specialist Pub Date : 2024-12-01 Epub Date: 2023-10-31 DOI:10.1177/19386400231207692
Nour Nassour, Bardiya Akhbari, Noopur Ranganathan, Ahmed Tawakol, Rachel P Rosovsky, Daniel Guss, Christopher W DiGiovanni, Soheil Ashkani-Esfahani
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Abstract

Background: Identifying factors that correlate with the incidence of venous thromboembolism (VTE) has the potential to improve VTE prevention and positively influence decision-making regarding prophylaxis. In this study, we aimed to investigate the correlation between statin consumption and the incidence of VTE in patients who sustained an ankle fracture.

Methods: In this retrospective, case-controlled study, cases were those who developed VTE and controls were those who had no VTE, and the ratio was 1:4. Patients' demographics, history of hyperlipidemia, and reported statins use were obtained. A random forest classifier (RFC) model was used to predict whether statin consumers were at risk of VTE after ankle fracture regardless of VTE prophylaxis administration based on statin consumption, body mass index (BMI), age, and biological sex.

Results: Of the 1175 patients with ankle fractures, 238 had confirmed VTE (case group), and 937 had no symptomatic VTE (control group; ratio 1:4). Fifty (21%) cases and 407 (43%) controls were on a statin. Statin users had a significantly lower incidence of VTE after ankle fracture, odds ratio (OR) = 0.35, 95% CI: 0.25, 0.49, P < .001. Our model showed an area under the receiving operator curve (AUROC) of 78%, a sensitivity of 73%, and a specificity of 83% in predicting the risk of VTE. The importance of the predictors of VTE, other than the use of statins (model importance = 0.1), were age (model importance of 0.72), BMI (model importance of 0.24), and biological sex (model importance of 0.02).

Conclusion: Statins were significantly associated with a lower rate of VTE in our population of patients who sustained an ankle fracture.

Levels of evidence: 3.

踝关节骨折患者使用他汀类药物与症状性静脉血栓栓塞发生率的相关性:机器学习方法。
背景:识别与静脉血栓栓塞症(VTE)发生率相关的因素有可能改善VTE的预防,并积极影响预防决策。在这项研究中,我们旨在调查踝关节骨折患者服用他汀类药物与VTE发生率之间的相关性。方法:在这项回顾性病例对照研究中,病例为发生VTE的患者,对照组为未发生VTE患者,比例为1:4。获得患者的人口统计学、高脂血症史和他汀类药物使用报告。使用随机森林分类器(RFC)模型,根据他汀类药物的消耗量、体重指数(BMI)、年龄和生物性别,预测他汀类药物消费者在脚踝骨折后是否有VTE的风险,而不考虑VTE预防用药。结果:1175例踝关节骨折患者中,238例确诊为VTE(病例组),937例无症状VTE(对照组;比例1:4)。50例(21%)病例和407例(43%)对照组服用他汀类药物。他汀类药物使用者踝关节骨折后VTE的发生率显著降低,比值比(OR)=0.35,95%CI:0.25,0.49,P<.001。我们的模型显示,在预测VTE风险方面,受试者曲线下面积(AUROC)为78%,敏感性为73%,特异性为83%。除了他汀类药物的使用(模型重要性=0.1)外,VTE的预测因素的重要性是年龄(模型重要性0.72)、BMI(模型重要性0.24)和生理性别(模型重要性0.02)。结论:在我们的踝关节骨折患者群体中,他汀类药物与较低的VTE发生率显著相关。证据级别:3。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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