急性下肢深静脉血栓形成溶栓治疗后血栓形成后综合征的风险因素分析

Yi Zheng , Chunli Cao , Gang Chen , Siming Li , Maolin Ye , Liang Deng , Qiyi Li
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引用次数: 0

摘要

方法 回顾性选取171例急性下肢深静脉血栓形成(DVT)接受导管引导溶栓(CDT)治疗的患者,收集患者的临床资料,根据治疗后1年的随访结果进行分组,将出现PTS的患者纳入并发组,未出现PTS的患者纳入未并发组。应用单变量分析和 Logistic 回归分析急性下肢深静脉血栓形成导管术和溶栓治疗后 PTS 的风险因素。我们应用 R4.2.3 软件建立了三个混合机器学习模型,包括以独立影响因素为预测变量的提名图、决策树和随机森林。体重指数(BMI)24.33 kg/m2、发病时间7 d、混合型深静脉血栓、静脉曲张病史、应激治疗时间6.5个月、滤过器类别是急性下肢深静脉血栓 CDT 治疗后 PTS 的独立危险因素。随机森林模型预测的AUC值高于提名图模型(Z = -2.337,P = 0.019)和决策树模型(Z = -2.995,P = 0.003)。
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Analysis of risk factors for post-thrombotic syndrome after thrombolysis therapy for acute deep venous thrombosis of lower extremities

Objective

The purpose of the research is to explore post-thrombotic syndrome (PTS) after catheter-directed thrombolysis (CDT) treatment for acute lower extremity deep vein thrombosis (DVT) risk factors.

Methods

We retrospectively selected 171 patients with acute lower extremity DVT undergoing CDT treatment, collected clinical data of the patients, grouped them according to the follow-up results of 1 year after treatment, and included patients with PTS into the concurrent group and patients who did not develop PTS assigned to the unconcurrent group. Univariate analysis and Logistic regression were applied to analyze the risk factors of PTS after catheterization and thrombolytic therapy for acute lower extremity DVT. We applied R4.2.3 software to build three hybrid machine-learning models, including a nomogram, decision tree, and random forest with independent influencing factors as predictive variables.

Results

The incidence of PTS after CDT in acute lower extremity DVT was 36.84 %. BMI >24.33 kg/m2, disease time >7 d, mixed DVT, varicose vein history, stress treatment time>6.5 months, and filter category were independent risk factors for PTS after CDT treatment for acute lower extremity DVT. The AUC value predicted by the random forest model was higher than that of the nomogram model (Z = -2.337, P = 0.019) and the decision tree model (Z = -2.995, P = 0.003).

Conclusion

The occurrence of PTS after CDT treatment of acute lower extremity DVT is closely related to many factors, and the established random forest model had the best effect in predicting PTS complicated with PTS.

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72 days
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