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外科医生主观神经保留评分能否预测机器人辅助根治性前列腺切除术后勃起功能的恢复时间?

Does surgeon subjective nerve sparing score predict recovery time of erectile function following robot-assisted radical prostatectomy?

作者信息

Kang Sung Gu, Schatloff Oscar, Haidar Abdul Muhsin, Samavedi Srinivas, Palmer Kenneth J, Cheon Jun, Patel Vipul R

机构信息

Department of Urology, Korea University School of Medicine, Seoul, Korea.

Global Robotics Institute, Florida Hospital Celebration Health, Celebration, FL, USA.

出版信息

J Sex Med. 2015 Jun;12(6):1490-6. doi: 10.1111/jsm.12844. Epub 2015 Feb 16.

Abstract

INTRODUCTION

During robot-assisted radical prostatectomy (RARP), the quality of nerve sparing (NS) was usually classified by laterality of NS (none, unilateral, and bilateral) or degree of NS (none, partial, and full). Recently, side-specific NS have been more frequently performed, but previous NS grading system might not reflect the differential NS in each side.

AIM

Herein, we assessed whether a subjective NS score (NSS) incorporating both degree of NS and NS laterality can predict the time to potency recovery following RARP.

METHODS

Data were analyzed from 1,898 patients who had left and right neurovascular bundle sparing quality scores and at least one year of follow-up after RARP was performed between January 2008 and October 2011.

MAIN OUTCOME MEASURES

Cox proportional hazard method analyses were used to determine predictive factors for early recovery. Multivariate linear regression models were used to assess subjective NSS in an effort to predict time to potency recovery. Subjective NSSs were compared to a model based on the three grades according to laterality and degree.

RESULTS

Time to potency recovery showed a statistically significant difference in favor of higher NSS by the Cox proportional hazard regression analysis (NSS 0 vs. NSS 5-6, 7-8, and 9-10; P < 0.01). The regression model indicated that the statistical significance of the subjective NSS covering the differential NS is not different from that of the conventional three-grade scales, while it has a higher R(2). The regression equation with subjective NSS was as follows: Log (Time) = 5.163 - (0.035 × SHIM Score) + 0.028 Age - (0.101 × Subjective NSS).

CONCLUSION

The subjective NSS can reflect NS degree for each side based on the visual cues. Regression model can be used to help inform the patient about the time to postoperative potency regain, which is an important patient concern following RARP.

摘要

引言

在机器人辅助根治性前列腺切除术(RARP)中,神经保留(NS)的质量通常根据NS的侧别(无、单侧和双侧)或NS的程度(无、部分和完全)进行分类。最近,更频繁地进行了针对特定侧别的NS,但先前的NS分级系统可能无法反映每一侧的差异NS。

目的

在此,我们评估了结合NS程度和NS侧别的主观神经保留评分(NSS)是否能够预测RARP术后性功能恢复的时间。

方法

分析了2008年1月至2011年10月期间接受RARP且有左右神经血管束保留质量评分以及至少一年随访的1898例患者的数据。

主要观察指标

采用Cox比例风险法分析确定早期恢复的预测因素。使用多元线性回归模型评估主观NSS,以预测性功能恢复时间。将主观NSS与基于侧别和程度的三个等级的模型进行比较。

结果

通过Cox比例风险回归分析,性功能恢复时间在较高NSS方面显示出统计学上的显著差异(NSS 0与NSS 5 - 6、7 - 8和9 - 10相比;P < 0.01)。回归模型表明,涵盖差异NS的主观NSS的统计学意义与传统三级量表无异,但其R²更高。主观NSS的回归方程如下:Log(时间)= 5.163 - (0.035 × SHIM评分)+ 0.028年龄 - (0.101 × 主观NSS)。

结论

主观NSS可基于视觉线索反映每一侧的NS程度。回归模型可用于帮助告知患者术后性功能恢复的时间,这是RARP术后患者关注的重要问题。

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