Xiang Guangheng, Dong Xiaoyu, Lin Shenglei, Cai Leyi, Zhou Feiya, Luo Peng, Zhu Juanjuan
Department of Orthopaedic, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, China.
Front Surg. 2023 Jan 6;9:1028859. doi: 10.3389/fsurg.2022.1028859. eCollection 2022.
Deep venous thrombosis (DVT) of the lower extremity is a common perioperative complication of femoral intertrochanteric fracture. This study aimed to identify the risk factors of lower extremity deep vein thrombosis (DVT) in elderly femoral intertrochanteric fracture patients and establish a nomogram model.
From August 2014 to June 2021, a total of 1,652 femoral intertrochanteric fracture patients over the age of 65 were enrolled in our study. We distinguished independent risk factors by univariate and multivariate Cox analyses. A nomogram model was then built, and the discriminative and calibration of the model was evaluated through receiver operating characteristics (ROC) and calibration plots.
A total of 378 patients developed DVT (292 in the training group, 86 in the validation group) while the remaining patients did not. According to the univariate and multivariate Cox analyses results, age (OR = 1.07, 95% CI: 1.04-1.10), fibrinogen (OR = 2.09, 95% CI: 1.68-2.60), D-dimer (OR = 1.33, 95% CI: 1.27-1.40), time from injury to admission (OR = 1.78, 95% CI: 1.55-2.05), functional status (OR = 4.21, 95% CI: 2.86-6.20), and diabetes (OR = 1.65, 95% CI: 1.10-2.48) were identified as independent risk factors of DVT. The ROC values for DVT of the training and validation group were 0.862 and 0.912, and the -value of the Hosmer-Lemeshow calibration test was 0.767.
This nomogram model can be used to predict the probability of preoperative DVT in elderly patients with femoral intertrochanteric fracture and guide physician in perioperative thrombosis management.
下肢深静脉血栓形成(DVT)是股骨转子间骨折常见的围手术期并发症。本研究旨在确定老年股骨转子间骨折患者下肢深静脉血栓形成(DVT)的危险因素,并建立列线图模型。
2014年8月至2021年6月,共有1652例65岁以上的股骨转子间骨折患者纳入本研究。我们通过单因素和多因素Cox分析来区分独立危险因素。然后建立列线图模型,并通过受试者工作特征(ROC)曲线和校准图对模型的判别能力和校准情况进行评估。
共有378例患者发生DVT(训练组292例,验证组86例),其余患者未发生。根据单因素和多因素Cox分析结果,年龄(OR = 1.07,95%CI:1.04 - 1.10)、纤维蛋白原(OR = 2.09,95%CI:1.68 - 2.60)、D - 二聚体(OR = 1.33,95%CI:1.27 - 1.40)、受伤至入院时间(OR = 1.78,95%CI:1.55 - 2.05)、功能状态(OR = 4.21,95%CI:2.86 - 6.20)和糖尿病(OR = 1.65,95%CI:1.10 - 2.48)被确定为DVT的独立危险因素。训练组和验证组DVT的ROC值分别为0.862和0.912,Hosmer - Lemeshow校准检验的P值为0.767。
该列线图模型可用于预测老年股骨转子间骨折患者术前DVT的发生概率,并指导医生进行围手术期血栓管理。