不同评分系统预测机器人辅助根治性前列腺切除术术后并发症的比较。

IF 2.2 3区 医学 Q2 SURGERY
Ahmet Burak Yilmaz, Kamal Karimzada, Ali Yasin Ozercan, Ozan Yurdakul, Tanju Keten, Ozer Guzel, Altug Tuncel
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引用次数: 0

摘要

评价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:生理能力和手术压力评估(E-PASS)评分、机器人手术合并症评分(CRS)和Charlson合并症指数(CCI)。回顾性分析374例RARP患者。根据术后并发症的存在(n = 50)和不存在(n = 324)将患者分为两组,采用改良Clavien-Dindo系统进行分类。比较两组患者的人口统计学、合并症、ASA和ECOG评分、围手术期数据、E-PASS评分、CRS和CCI评分。采用Logistic回归分析确定并发症的独立危险因素,并采用受试者工作特征曲线评估各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%)。合并并发症的患者高血压(p = 0.018)、糖尿病(p = 0.015)、ECOG评分(p = 0.015)明显高于对照组
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of different scoring systems for prediction of postoperative complications after robot-assisted radical prostatectomy.

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.

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来源期刊
CiteScore
4.20
自引率
8.70%
发文量
145
期刊介绍: The aim of the Journal of Robotic Surgery is to become the leading worldwide journal for publication of articles related to robotic surgery, encompassing surgical simulation and integrated imaging techniques. The journal provides a centralized, focused resource for physicians wishing to publish their experience or those wishing to avail themselves of the most up-to-date findings.The journal reports on advance in a wide range of surgical specialties including adult and pediatric urology, general surgery, cardiac surgery, gynecology, ENT, orthopedics and neurosurgery.The use of robotics in surgery is broad-based and will undoubtedly expand over the next decade as new technical innovations and techniques increase the applicability of its use. The journal intends to capture this trend as it develops.
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