Kayra Mehmet Vehbi, Deniz Mehmet Eflatun, Ozer Cevahir, Catalca Sibel, Toksoz Serdar, Yabanoglu Hakan
Faculty of Medicine, Department of Urology, Baskent University, Dadaloglu Mh Serinevler 2591 Sk No: 4/A Yuregir, 01250, Adana, Turkey.
Faculty of Medicine, Department of Anesthesiology, Baskent University, Adana, Turkey.
Updates Surg. 2025 Jun;77(3):915-924. doi: 10.1007/s13304-025-02145-w. Epub 2025 Mar 3.
The Estimation of Physiologic Ability and Surgical Stress (E-PASS) score, initially developed for gastrointestinal surgery, is a validated system used to predict postoperative complications by evaluating preoperative and intraoperative factors. This study aims to assess the effectiveness of the E-PASS score in predicting postoperative complications following adrenalectomy. In this single-center retrospective study, we analyzed data from 202 patients who underwent adrenalectomy by a single surgeon between January 2017 and March 2024. 182 patients with complete data and who met the study criteria were included in the study. Demographic, clinical, intraoperative, and postoperative data were collected and analyzed, including preoperative complaints, ASA classification, ECOG performance status, presence of systemic diseases, type of surgery, and intraoperative details, such as blood loss and complications. Postoperative complications were classified using the Clavien-Dindo Classification. The mean age of the patients was 48.7 ± 13.6 years. The mean BMI was 24.1 kg/m. Postoperative complications were observed in 26.4% of patients, categorized as Grade 1 (54.1%), Grade 2 (25%), Grade 3 (16.7%), and Grade 4 (4.2%). Multivariate logistic regression identified higher BMI (OR = 1.394) and an E-PASS CRS score > - 0.0677 (OR = 6.17) as independent risk factors for complications. ROC curve analysis determined this CRS score cut-off with an AUC of 0.866 (CI 0.808-0.923; p < 0.001). The E-PASS scoring system effectively predicts postoperative complications in adrenalectomy. Its integration into clinical practice can enhance the identification of high-risk patients, optimize perioperative management, and potentially reduce adverse outcomes.
生理能力与手术应激评估(E-PASS)评分最初是为胃肠外科手术开发的,是一个经过验证的系统,通过评估术前和术中因素来预测术后并发症。本研究旨在评估E-PASS评分在预测肾上腺切除术后并发症方面的有效性。在这项单中心回顾性研究中,我们分析了2017年1月至2024年3月期间由同一位外科医生进行肾上腺切除术的202例患者的数据。纳入研究的182例患者数据完整且符合研究标准。收集并分析了人口统计学、临床、术中及术后数据,包括术前症状、美国麻醉医师协会(ASA)分级、东部肿瘤协作组(ECOG)体能状态、全身性疾病的存在情况、手术类型以及术中细节,如失血量和并发症。术后并发症采用Clavien-Dindo分类法进行分类。患者的平均年龄为48.7±13.6岁。平均体重指数(BMI)为24.1kg/m²。26.4%的患者出现术后并发症,分类为1级(54.1%)、2级(25%)、3级(16.7%)和4级(4.2%)。多因素逻辑回归分析确定较高的BMI(比值比[OR]=1.394)和E-PASS并发症风险评分(CRS)> -0.0677(OR=6.17)为并发症的独立危险因素。ROC曲线分析确定该CRS评分的截断值,曲线下面积(AUC)为0.866(95%置信区间[CI]0.808 - 0.923;p<0.001)。E-PASS评分系统能有效预测肾上腺切除术后的并发症。将其纳入临床实践可加强对高危患者的识别,优化围手术期管理,并可能减少不良结局。