Department of Orthopedics, Dandong Central Hospital, China Medical University, Dandong, China.
Eur Rev Med Pharmacol Sci. 2023 Nov;27(21):10269-10283. doi: 10.26355/eurrev_202311_34303.
This study aimed to develop and validate a risk nomogram for preoperative proximal and distal deep vein thrombosis (DVT) in geriatric patients with hip fractures.
The 970 collected geriatric hip fracture patients were randomly divided into a training set (70%, n=682) and a validation set (30%, n=288). Multivariate logistic regression analyses were used to optimize the predictive risk variables for proximal and distal preoperative lower extremity DVT in the training set, respectively, and the selected variables were finally incorporated to establish preoperative DVT nomogram prediction models. Receiver operating characteristic curves (ROC), calibration plots, and decision curve analysis (DCA) were performed to validate the nomograms in the training and validation sets, respectively.
Among the 970 patients, 125 (12.88%) were diagnosed with preoperative DVT. The area under the curve (AUC) for predicting preoperative proximal DVT was 0.888 in the training and 0.792 in the validation sets. The AUC for predicting preoperative distal DVT was 0.907 in the training and 0.790 in the validation sets. The calibration plots and decision curve analysis for preoperative proximal DVT performed well in the training set and slightly worse in the validation set. The calibration plots and decision curve analysis for preoperative distal DVT performed well in both the training and validation sets.
To construct nomograms for predicting the risk of proximal and distal preoperative lower extremity DVT in geriatric hip fracture patients. For patients at high risk, as assessed by this model, clinicians should intervene and treat them promptly before surgery.
本研究旨在开发和验证一种针对老年髋部骨折患者术前近端和远端深静脉血栓形成(DVT)的风险列线图。
收集的 970 例老年髋部骨折患者被随机分为训练集(70%,n=682)和验证集(30%,n=288)。使用多变量逻辑回归分析分别优化训练集中预测近端术前下肢 DVT 和远端术前下肢 DVT 的预测风险变量,并最终将选定的变量纳入建立术前 DVT 列线图预测模型。在训练集和验证集中分别进行接受者操作特征曲线(ROC)、校准图和决策曲线分析(DCA)验证列线图。
在 970 例患者中,125 例(12.88%)被诊断为术前 DVT。在训练集中,预测术前近端 DVT 的曲线下面积(AUC)为 0.888,在验证集中为 0.792。在训练集中,预测术前远端 DVT 的 AUC 为 0.907,在验证集中为 0.790。在训练集中,术前近端 DVT 的校准图和决策曲线分析表现良好,在验证集中稍差。在训练集和验证集中,术前远端 DVT 的校准图和决策曲线分析表现良好。
构建用于预测老年髋部骨折患者术前近端和远端下肢 DVT 风险的列线图。对于该模型评估的高危患者,临床医生应在手术前及时进行干预和治疗。