首页> 外文期刊>Journal of endourology >Predictors of Medical and Surgical Complications After Robot-Assisted Partial Nephrectomy: An Analysis of 1139 Patients in a Multi-Institutional Kidney Cancer Database
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Predictors of Medical and Surgical Complications After Robot-Assisted Partial Nephrectomy: An Analysis of 1139 Patients in a Multi-Institutional Kidney Cancer Database

机译:机器人辅助部分肾切除术后医疗和手术并发症的预测因子:对多机构肾癌数据库1139例患者的分析

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Introduction: Previous robot-assisted partial nephrectomy (RAPN) studies have identified various predictors of overall and major postoperative complications, but few have evaluated the specific role of these factors in the development of medical and surgical complications. In this study, we present an analysis of the modifiable and nonmodifiable variables influencing medical and surgical complications in a contemporary series of patients who underwent RAPN and were followed in a prospectively maintained, multi-institutional kidney cancer database. Methods: A retrospective review of all patients who underwent RAPN at four institutions between 2008 and 2015 was performed. Multivariable logistic regression models were used to determine predictors of medical and surgical postoperative complications. Results: Data from 1139 patients were available for analysis. Sixty-seven patients (5.8%) experienced a medical postoperative complication, and 82 (7.1%) experienced a surgical complication. Decreasing baseline estimated glomerular filtration rate (eGFR) (odds ratio [OR]=0.98, p=0.003), greater estimated blood loss (EBL) (OR=1.002, p=0.001), and operating surgeon (OR=8.01, p<0.001) were associated with an increased likelihood of surgical complications, while decreasing baseline eGFR (OR=0.99, p=0.054) and operating surgeon (OR=1.96, p=0.054) were associated with an increased likelihood of medical complications. Conclusion: We present complication risks in a large contemporary cohort of patients undergoing robotic partial nephrectomy (RPN) with only 11.3% of patients experiencing a medical or surgical postoperative complication. Prospective candidates for robotic PN with poor baseline renal function and/or risk factors for greater EBL, including a high body mass index, or a complex renal mass should be counseled appropriately on their increased risk for a medical or surgical postoperative complication.
机译:简介:以前的机器人辅助部分肾切除术(RAPN)研究已经确定了整体和主要术后并发症的各种预测因子,但很少有评估这些因素在医疗和手术并发症发展中的具体作用。在这项研究中,我们展示了影响当代系列患者的可修改和不可替代的变量,其经过RAPN的当代系列中的医疗和手术并发症,并被遵循了一名前瞻性的多机构肾癌数据库。方法:对2008年至2015年间在四个机构进行了重新研磨的所有患者的回顾性审查。多变量逻辑回归模型用于确定医疗和外科术后并发症的预测因子。结果:1139名患者的数据可用于分析。六十七名患者(5.8%)经历了医学术后并发症,82名(7.1%)经历了手术并发症。降低基线估计的肾小球过滤速率(EGFR)(差距[或] = 0.98,P = 0.003),估计血液损失(EBL)(或= 1.002,P = 0.001),以及操作外科医生(或= 8.01,P < 0.001)与手术并发症的可能性增加有关,同时降低基线EGFR(或= 0.99,P = 0.054)和操作外科医生(或= 1.96,P = 0.054)与药物并发症的可能性增加有关。结论:我们在患有机器人部分肾切除术(RPN)的大型当代队患者中,只有11.3%的患者呈现出患者的大型当代队列,只有11.3%的患者。基于基线肾功能差的机器人PN的前瞻性候选者和/或更大EBL的风险因素,包括高体重指数或复杂的肾脏肿块,应适当地咨询其增加的医学或手术术后并发症的风险。

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