A nomogram for predicting risk factors for lower limb deep venous thrombosis in elderly postoperative patients with severe traumatic brain injury in the intensive care unit.

Zhihong Tang, Na Li, Yongming Tian
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Abstract

AimTo investigate the incidence and risk factors for lower limb deep venous thrombosis in elderly postoperative patients with severe traumatic brain injury in the intensive care unit.DesignA retrospective study.MethodsFour hundred and one elderly patients (defined as aged ≥60 years) with severe traumatic brain injury who had undergone surgery and were admitted to the intensive care unit were enrolled in this study. We collected data on the incidence of lower extremity deep vein thrombosis and analyzed its influencing factors. Binary logistic regression analysis was employed to assess the associations between these factors and the occurrence of DVT. A nomogram was developed, and calibration curves were utilized to evaluate the model's accuracy. Additionally, a receiver operating characteristic curve was employed to assess the model's clinical discriminatory power.ResultsThe incidence of lower limb deep venous thrombosis in elderly postoperative patients with severe traumatic brain injury in the intensive care unit was 25.69%. The final nomogram included age, intraoperative hypothermia, intraoperative bleeding volume, surgery time, D-dimer level, any organ failure, and body mass index as independent risk factors. The standard curve fit well with the calibrated prediction curve. The area under the receiver operating characteristic curve was 0.976 (95% CI: 0.958-0.994), and the model had good discrimination ability and reliability.ConclusionsThe risk factors for lower limb deep venous thrombosis in elderly postoperative patients with severe traumatic brain injury in the intensive care unit can be preliminarily assessed via the nomogram prediction model. This information may help guide medical staff in making reasonable decisions regarding the management of deep vein thrombosis prophylaxis.Patient or Public ContributionElderly postoperative patients with severe traumatic brain injury in the intensive care unit participated in the retrospective investigation of this study.

重症监护病房老年重型颅脑损伤术后患者下肢深静脉血栓形成危险因素的nomogram预测
目的探讨重症监护室老年重型颅脑损伤术后患者下肢深静脉血栓形成的发生率及危险因素。设计回顾性研究。方法选取401例高龄(≥60岁)重型颅脑损伤手术后入住重症监护病房的患者作为研究对象。收集下肢深静脉血栓的发病资料,分析其影响因素。采用二元logistic回归分析来评估这些因素与DVT发生之间的关系。建立了模态图,并用标定曲线对模型的精度进行了评价。此外,采用受试者工作特征曲线评估模型的临床辨别力。结果重症监护病房老年重型颅脑损伤术后患者下肢深静脉血栓的发生率为25.69%。最终的nomogram包括年龄、术中低温、术中出血量、手术时间、d -二聚体水平、任何器官衰竭、体重指数等独立危险因素。标准曲线与标定后的预测曲线拟合良好。受试者工作特征曲线下面积为0.976 (95% CI: 0.958 ~ 0.994),模型具有较好的判别能力和信度。结论通过nomogram预测模型,可以初步评估重症监护室老年重型颅脑损伤术后患者下肢深静脉血栓形成的危险因素。这些信息可能有助于指导医务人员在深静脉血栓预防管理方面做出合理的决定。患者或公众贡献本研究对重症监护室的老年重型颅脑损伤术后患者进行回顾性调查。
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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