虚弱是机器人辅助根治性前列腺切除术后90天并发症的独立预测因素

E. Choi, Asher George, Silvia Jakubski, Mhd Hasan Almekdash, Pranav Sharma
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摘要

目的:本研究旨在分析机器人辅助根治性前列腺切除术(RARP)前列腺癌患者术后11项修正虚弱指数(mFI)与术后90天并发症的关系。方法:对在同一机构接受RARP治疗的216名男性进行mFI测量。采用Kruskal-Wallis检验、独立性的卡方检验和Fisher精确检验比较平均秩数和比例。采用多因素logistic回归确定RARP术后90天并发症的预测因素。结果:术前mFI(≥2)越高的患者年龄越大(P= 0.047), ECOG表现状态越差(P=0.018), ASA评分越差(P<0.01)。mFI组间术中变量及病理特征相似。多因素logistic回归分析显示,mFI≥2是术后90天总并发症的预测因子(OR=3.32, CI=1.16-9.54, P=0.026)。多因素logistic回归也显示mFI≥2是术后90天高级别并发症的预测因子(OR=2.69, CI=1.24-5.85, P=0.012)。结论:术前mFI评分较高的前列腺癌患者RARP术后90天并发症发生率较高。前列腺癌患者术前应评估mFI,以确定术后发病的风险和最佳治疗方案。
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Frailty is an independent predictor of 90-day complications following robot-assisted radical prostatectomy
Objective: The aim of this study is to analyze the association between the 11-item Modified Frailty Index (mFI) and 90-day post-operative complications in prostate cancer patients undergoing Robot-assisted Radical Prostatectomy (RARP). Methods: mFI was measured for 216 men who underwent RARP at a single institution. Mean ranks and proportions were compared with the Kruskal-Wallis test, Chi-square test of independence, and Fisher's exact test. Multivariate logistic regression was performed to determine predictors of 90-day post-operative complications after RARP. Results: Patients with higher pre-operative mFI (≥2) were more likely to be older in age (P= 0.047), have worse ECOG performance status (P=0.018), and worse ASA scores (P<0.01).  Intra-operative variables and pathological characteristics were similar between mFI groups. Multivariate logistic regression showed that mFI  ≥2 was a predictor of overall 90-day complications after surgery (OR=3.32, CI=1.16-9.54, P=0.026). Multivariate logistic regression also showed that mFI  ≥2 was a predictor of high-grade 90-day complications after surgery (OR=2.69, CI=1.24-5.85, P=0.012). Conclusion: Prostate cancer patients with higher pre-operative mFI scores were more likely to have a 90-day complication after RARP. mFI should be assessed pre-operatively for prostate cancer patients to determine the risk of post-operative morbidity and the best treatment plan. 
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