Wei Yao, Guo Changxu, Chen Xiaoyu, Yuan Yu
Department of Ultrasound, Tianjin Hospital, No. 406, Jiefang South Road, Hexi District, Tianjin, 300211, China.
BMC Med Imaging. 2025 May 5;25(1):151. doi: 10.1186/s12880-025-01695-0.
Free-floating venous thrombosis (FFVT), a distinct subtype of deep vein thrombosis (DVT), is associated with pulmonary thromboembolism (PTE) and carries a high mortality risk.
This study aimed to develop a nomogram to predict the prognosis of FFVT in patients with closed traumatic fractures.
A retrospective analysis of clinical and ultrasound data from 326 patients with FFVT post-closed traumatic fractures was conducted. Patients were divided into training (n = 240, January 2019-June 2023) and validation (n = 86, June 2023-June 2024) sets. Prognostic risk factors were identified using LASSO and multivariable logistic regression. A nomogram was constructed using R Studio, and its predictive accuracy was validated via calibration curves, receiver operating characteristic (ROC) analysis, and external validation.
Independent risk factors for FFVT progression to closed thrombus included D-dimer levels, FFVT location, collateral blood flow volume around the thrombus, and thrombus margins (P < 0.05). The model demonstrated high discriminative ability, with a C-index of 0.945. ROC analysis revealed areas under the curve (AUC) of 0.949 (training set) and 0.924 (validation set). Calibration curves confirmed strong agreement between predicted and observed outcomes.
The nomogram provides an accurate prognostic tool for FFVT in patients with closed traumatic fractures, aiding clinical decision-making to improve patient outcomes.
Not applicable.
游离静脉血栓形成(FFVT)是深静脉血栓形成(DVT)的一种独特亚型,与肺血栓栓塞症(PTE)相关,且具有较高的死亡风险。
本研究旨在开发一种列线图,以预测闭合性创伤骨折患者FFVT的预后。
对326例闭合性创伤骨折后发生FFVT患者的临床和超声数据进行回顾性分析。将患者分为训练集(n = 240,2019年1月至2023年6月)和验证集(n = 86,2023年6月至2024年6月)。使用LASSO和多变量逻辑回归确定预后危险因素。使用R Studio构建列线图,并通过校准曲线、受试者工作特征(ROC)分析和外部验证来验证其预测准确性。
FFVT进展为闭合性血栓的独立危险因素包括D - 二聚体水平、FFVT位置、血栓周围侧支血流量和血栓边缘(P < 0.05)。该模型具有较高的判别能力,C指数为0.945。ROC分析显示训练集曲线下面积(AUC)为0.949,验证集为0.924。校准曲线证实预测结果与观察结果之间具有高度一致性。
该列线图为闭合性创伤骨折患者的FFVT提供了一种准确的预后工具,有助于临床决策以改善患者预后。
不适用。