Li Xiao, Huang Yuan, Liu Wangyan, Li Pu, Tang Lijun, Xu Yi, Li Jie, Lv Qiang, Hua Lixin, Shao Pengfei, Qin Chao, Wang Zengjun
Department of Urology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China.
Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China.
World J Urol. 2016 Oct;34(10):1421-7. doi: 10.1007/s00345-016-1785-7. Epub 2016 Feb 15.
A model for assuring clamping success was established for laparoscopic partial nephrectomy (LPN) with segmental renal artery clamping (SRAC).
Patients (n = 107; December 2009-September 2011) who underwent LPN with SRAC dependent on the experience of the surgeon and CTA were retrospectively reviewed to determine the optimal characteristics of target arteries. After multiple logistic regression analysis, variables used to build a nomogram were selected using a backward elimination scheme. A model for a clamping program customized to the patient was designed. The surgical outcomes of patients (n = 141; October 2011-June 2014) who subsequently underwent LPN-SRAC with the applied model were compared with those of the first group of patients.
Five potential predictors were initially assessed: segmental renal artery angle, target artery diameter, and distance (d) to the abdominal aorta, renal hilum (d RH), and kidney midline (d KML). The regression equation was set up as: [Formula: see text]Comparing the patient groups, those for whom the new SRAC model was applied had a significantly better success rate of clamping (P < 0.001), less total operative time (P < 0.001), and less operative blood loss (P = 0.042). No obvious differences were observed in time of warm ischemia, postoperative hospitalization, RENAL nephrometry score, or number of final clamped branches.
The model for assuring clamping success was helpful in designing an SRAC program and thus benefiting the LPN procedure.
建立一种用于腹腔镜肾部分切除术(LPN)中肾段动脉阻断(SRAC)的确保阻断成功的模型。
回顾性分析2009年12月至2011年9月期间107例根据术者经验和CTA进行SRAC的LPN患者,以确定靶动脉的最佳特征。经过多因素逻辑回归分析,采用向后排除法选择用于构建列线图的变量。设计了一种针对患者定制的阻断方案模型。将随后采用该应用模型进行LPN-SRAC的141例患者(2011年10月至2014年6月)的手术结果与第一组患者的结果进行比较。
最初评估了五个潜在预测因素:肾段动脉角度、靶动脉直径以及与腹主动脉、肾门(d RH)和肾中线(d KML)的距离。回归方程设定为:[公式:见正文]比较患者组,应用新SRAC模型的患者阻断成功率显著更高(P < 0.001),总手术时间更短(P < 0.001),手术失血量更少(P = 0.042)。在热缺血时间、术后住院时间、RENAL肾计量评分或最终阻断分支数量方面未观察到明显差异。
确保阻断成功的模型有助于设计SRAC方案,从而使LPN手术受益。