Yilmaz Ahmet Burak, Karimzada Kamal, Ozercan Ali Yasin, Yurdakul Ozan, Keten Tanju, Guzel Ozer, Tuncel Altug
Department of Urology, Ministry of Health, Sincan Training and Research Hospital, Ankara, Turkey.
Department of Urology, University of Health Sciences, Ankara Bilkent City Hospital, Ankara, Turkey.
J Robot Surg. 2025 Jun 5;19(1):272. doi: 10.1007/s11701-025-02406-1.
To evaluate the predictive value of the Estimation of Physiologic Ability and Surgical Stress (E-PASS) score, Comorbidity Score for Robotic Surgery (CRS) and Charlson Comorbidity Index (CCI) in relation to postoperative complications in patients undergoing robot-assisted radical prostatectomy (RARP). A total of 374 patients who underwent RARP were retrospectively analyzed. Patients were divided into two groups based on the presence (n = 50) or absence (n = 324) of postoperative complications, as classified by the Modified Clavien-Dindo system. Demographics, comorbidities, ASA and ECOG scores, perioperative data, E-PASS score, CRS, and CCI scores were compared between groups. Logistic regression analyses were performed to identify independent risk factors for complications, and receiver operating characteristic curves were used to assess the discriminative ability of each scoring system. According to the Clavien-Dindo classification, 60% of complications were Grade 2, followed by Grade 1 (26%) and Grade 3 (8%). Patients with complications had significantly higher rates of hypertension (p = 0.018), diabetes mellitus (p = 0.015), ECOG score (p < 0.001), ASA score (p = 0.02), longer operation time (p = 0.02), higher E-PASS score (p < 0.001) and CRS score (p = 0.007). The CCI did not show a significant difference between the groups (p = 0.54). In the multivariate logistic regression analysis, only the E-PASS score was the independent risk factor for postoperative complications (Odds Ratio: 18.633, 95% CI: 3.644-94.749, p < 0.001). The E-PASS score appears to be an independent risk factor for postoperative complications following RARP, whereas the CRS and CCI failed to show significant prognostic value in this cohort. Integrating E-PASS parameters into preoperative evaluation may enhance postoperative risk stratification and inform patient counseling strategies.
评估生理能力与手术应激评估(E-PASS)评分、机器人手术合并症评分(CRS)和查尔森合并症指数(CCI)对机器人辅助根治性前列腺切除术(RARP)患者术后并发症的预测价值。对374例行RARP的患者进行回顾性分析。根据改良Clavien-Dindo系统分类的术后并发症的有无,将患者分为两组(有并发症组n = 50,无并发症组n = 324)。比较两组患者的人口统计学、合并症、美国麻醉医师协会(ASA)和东部肿瘤协作组(ECOG)评分、围手术期数据、E-PASS评分、CRS和CCI评分。进行逻辑回归分析以确定并发症的独立危险因素,并使用受试者工作特征曲线评估每个评分系统的判别能力。根据Clavien-Dindo分类,60%的并发症为2级,其次是1级(26%)和3级(8%)。有并发症的患者高血压(p = 0.018)、糖尿病(p = 0.015)、ECOG评分(p < 0.001)、ASA评分(p = 0.02)的发生率显著更高,手术时间更长(p = 0.02),E-PASS评分更高(p < 0.001)以及CRS评分更高(p = 0.007)。两组之间的CCI无显著差异(p = 0.54)。在多因素逻辑回归分析中,只有E-PASS评分是术后并发症的独立危险因素(比值比:18.633,95%置信区间:3.644 - 94.749,p < 0.001)。E-PASS评分似乎是RARP术后并发症的独立危险因素,而CRS和CCI在该队列中未显示出显著的预后价值。将E-PASS参数纳入术前评估可能会加强术后风险分层并为患者咨询策略提供依据。