Casillas-Berumen Sergio, Sadri Lili, Farber Alik, Eslami Mohammad H, Kalish Jeffrey A, Rybin Denis, Doros Gheorghe, Siracuse Jeffrey J
Division of Vascular and Endovascular Surgery, Boston Medical Center, Boston University School of Medicine, Boston, Mass.
Department of Biostatistics, Boston University School of Public Health, Boston, Mass.
J Vasc Surg. 2017 Mar;65(3):754-759. doi: 10.1016/j.jvs.2016.08.116.
Emergency lower extremity embolectomy is a common vascular surgical procedure that has poorly defined outcomes. Our goal was to define the perioperative morbidity for emergency embolectomy and develop a risk prediction model for perioperative mortality.
The American College of Surgeons National Surgical Quality Improvement database was queried to identify patients undergoing emergency unilateral and lower extremity embolectomy. Patients with previous critical limb ischemia, bilateral embolectomy, nonemergency indication, and those undergoing concurrent bypass were excluded. Patient characteristics and postoperative morbidity and mortality were analyzed. Multivariate analysis for predictors of mortality was performed, and from this, a risk prediction model was developed to identify preoperative predictors of mortality.
There were 1749 patients (47.9% male) who met the inclusion criteria. The average age was 68.2 ± 14.8 years. Iliofemoral-popliteal embolectomy was performed in 1231 patients (70.4%), popliteal-tibioperoneal embolectomy in 303 (17.3%), and at both levels in 215 (12.3%). Fasciotomies were performed concurrently with embolectomy in 308 patients (17.6%). The 30-day postoperative mortality was 13.9%. Postoperative complications included myocardial infarction or cardiac arrest (4.7%), pulmonary complications (16.0%), and wound complications (8.2%). The rate of return to the operating room ≤30 days was 25.7%. Hospital length of stay was 9.8 ± 11.5 days, and the 30-day readmission rate was 16.3%. A perioperative mortality risk prediction model based on factors identified in multivariate analysis included age >70 years, male gender, functional dependence, history of chronic obstructive pulmonary disease, congestive heart failure, recent myocardial infarction/angina, chronic renal insufficiency, and steroid use. The model showed good discrimination (C = 0.769; 95% confidence interval, 0733-0.806) and calibrated well.
Emergency lower extremity embolectomy has high morbidity, mortality, and resource utilization. These data provide a benchmark for this complex patient population and may assist in risk stratifying patients, allowing for improved informed consent and goals of care at the time of presentation.
急诊下肢取栓术是一种常见的血管外科手术,但其预后情况尚不明确。我们的目标是明确急诊取栓术的围手术期发病率,并建立围手术期死亡率的风险预测模型。
查询美国外科医师学会国家外科质量改进数据库,以确定接受急诊单侧下肢取栓术的患者。排除既往有严重肢体缺血、双侧取栓术、非急诊指征以及同时进行搭桥手术的患者。分析患者特征、术后发病率和死亡率。对死亡率的预测因素进行多变量分析,并据此建立风险预测模型,以识别术前死亡率预测因素。
有1749例患者(47.9%为男性)符合纳入标准。平均年龄为68.2±14.8岁。1231例患者(70.4%)进行了髂股-腘动脉取栓术,303例(17.3%)进行了腘-胫腓动脉取栓术,215例(12.3%)在两个部位都进行了取栓术。308例患者(17.6%)在取栓术的同时进行了筋膜切开术。术后30天死亡率为13.9%。术后并发症包括心肌梗死或心脏骤停(4.7%)、肺部并发症(16.0%)和伤口并发症(8.2%)。≤30天返回手术室的发生率为25.7%。住院时间为9.8±11.5天,30天再入院率为16.3%。基于多变量分析确定的因素建立的围手术期死亡率风险预测模型包括年龄>70岁、男性、功能依赖、慢性阻塞性肺疾病史、充血性心力衰竭、近期心肌梗死/心绞痛、慢性肾功能不全和使用类固醇。该模型显示出良好的区分度(C=0.769;95%置信区间,0.733-0.806)且校准良好。
急诊下肢取栓术具有较高的发病率、死亡率和资源利用率。这些数据为这一复杂患者群体提供了一个基准,可能有助于对患者进行风险分层,从而在就诊时改善知情同意和治疗目标。