Aydin Serkan, Kurtulus Burhan
Department of Orthopedics and Traumatology, Ankara Etlik City Hospital, Ankara 06110, Turkey.
Department of Orthopedics and Traumatology, Ankara Diskapi Yildirim Beyazit Education and Research Hospital, Ankara 06110, Turkey.
Diagnostics (Basel). 2025 Sep 16;15(18):2352. doi: 10.3390/diagnostics15182352.
: This study aimed to determine the incidence of postoperative deep vein thrombosis (DVT) and pulmonary embolism (PE) following orthopedic surgeries and to identify independent clinical, laboratory, and procedural factors associated with thromboembolic risk. : A retrospective cohort analysis was conducted on 300 patients who underwent elective or emergency orthopedic surgeries (hip/knee arthroplasty, fracture fixation, and spinal procedures) between January 2020 and December 2024 at two tertiary centers. Demographic, clinical, and biochemical data were collected. Patients were stratified into two groups: those who developed DVT/PE and those who did not. Univariate analyses were performed to identify significant factors, and a multivariate logistic regression model with stepwise variable selection was applied in accordance with the events-per-variable (EPV) criterion. Receiver operating characteristic (ROC) curve analyses were conducted to evaluate the discriminative performance of significant predictors. : Among 300 patients who underwent orthopedic surgery, postoperative deep vein thrombosis (DVT) and/or pulmonary embolism (PE) occurred in 50 cases (16.7%). Patients who developed thromboembolic events were older (72.5 ± 8.7 vs. 65.2 ± 10.1 years, < 0.001), had higher body mass index (32.1 ± 5.3 vs. 28.3 ± 4.5 kg/m, < 0.001), and showed a greater prevalence of diabetes mellitus (40% vs. 20%, < 0.01) and chronic kidney disease (24% vs. 10%, < 0.001) compared to those without DVT/PE. Laboratory analyses revealed significantly elevated neutrophil count, D-dimer, C-reactive protein (CRP), glucose, and troponin levels in the DVT/PE group. In the stepwise multivariate logistic regression model, age (OR = 1.44, = 0.003), diabetes mellitus (OR = 2.88, = 0.046), chronic kidney disease (OR = 2.33, = 0.014), D-dimer (OR = 2.15, = 0.019), and immobilization duration (OR = 2.21, = 0.028) emerged as independent predictors of thromboembolic events. ROC analysis revealed that D-dimer > 0.9 mg/L had the highest discriminative performance (AUC = 0.89, sensitivity 88%, specificity 84%, = 0.003), followed by troponin > 0.5 U/L (AUC = 0.86, = 0.005), immobilization > 3 days (AUC = 0.82, = 0.012), and age > 65 years (AUC = 0.74, = 0.021). : DVT and PE remain significant postoperative complications with a multifactorial etiology in orthopedic surgeries. Advanced age, comorbidities (such as diabetes mellitus and chronic kidney disease), and elevated inflammatory and metabolic markers (including neutrophil count, glucose, CRP, and D-dimer), together with procedural factors like prolonged immobilization, were identified as independent risk factors. Early recognition of these high-risk features and implementation of individualized prophylaxis strategies may improve postoperative outcomes and reduce thromboembolic risk.
本研究旨在确定骨科手术后深静脉血栓形成(DVT)和肺栓塞(PE)的发生率,并识别与血栓栓塞风险相关的独立临床、实验室和手术因素。
对2020年1月至2024年12月期间在两家三级中心接受择期或急诊骨科手术(髋关节/膝关节置换术、骨折固定术和脊柱手术)的300例患者进行了回顾性队列分析。收集了人口统计学、临床和生化数据。患者被分为两组:发生DVT/PE的患者和未发生的患者。进行单因素分析以识别显著因素,并根据变量事件数(EPV)标准应用逐步变量选择的多因素逻辑回归模型。进行受试者操作特征(ROC)曲线分析以评估显著预测因素的判别性能。
在300例接受骨科手术的患者中,术后发生深静脉血栓形成(DVT)和/或肺栓塞(PE)的有50例(16.7%)。发生血栓栓塞事件的患者年龄较大(72.5±8.7岁对65.2±10.1岁,P<0.001),体重指数较高(32.1±5.3对28.3±4.5kg/m²,P<0.001),与未发生DVT/PE的患者相比,糖尿病(40%对20%,P<0.01)和慢性肾脏病(24%对10%,P<0.001)的患病率更高。实验室分析显示,DVT/PE组的中性粒细胞计数、D-二聚体、C反应蛋白(CRP)、血糖和肌钙蛋白水平显著升高。在逐步多因素逻辑回归模型中,年龄(OR=1.44,P=0.003)、糖尿病(OR=2.88,P=0.046)、慢性肾脏病(OR=2.33,P=0.014)、D-二聚体(OR=2.15,P=0.019)和制动时间(OR=2.21,P=0.028)被确定为血栓栓塞事件的独立预测因素。ROC分析显示,D-二聚体>0.9mg/L具有最高的判别性能(AUC=0.89,敏感性88%,特异性84%,P=0.003),其次是肌钙蛋白>0.5U/L(AUC=0.86,P=0.005)、制动>3天(AUC=0.82,P=0.012)和年龄>65岁(AUC=0.74,P=0.021)。
DVT和PE仍然是骨科手术中具有多因素病因的重要术后并发症。高龄、合并症(如糖尿病和慢性肾脏病)以及炎症和代谢标志物升高(包括中性粒细胞计数、血糖、CRP和D-二聚体),以及诸如长时间制动等手术因素,被确定为独立的危险因素。早期识别这些高危特征并实施个体化预防策略可能会改善术后结局并降低血栓栓塞风险。