Rha Koon H, Abdel Raheem Ali, Park Sung Y, Kim Kwang H, Kim Hyung J, Koo Kyo C, Choi Young D, Jung Byung H, Lee Sang K, Lee Won K, Krishnan Jayram, Shin Tae Y, Cho Jin-Seon
Department of Urology, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea.
Department of Urology, Tanta University Hospital, El Gharbeya, Egypt.
BJU Int. 2017 Nov;120(5):682-688. doi: 10.1111/bju.13937. Epub 2017 Jul 19.
To assess the correlation of the resected and ischaemic volume (RAIV), which is a preoperatively calculated volume of nephron loss, with the amount of postoperative renal function (PRF) decline after minimally invasive partial nephrectomy (PN) in a multi-institutional dataset.
We identified 348 patients from March 2005 to December 2013 at six institutions. Data on all cases of laparoscopic (n = 85) and robot-assisted PN (n = 263) performed were retrospectively gathered. Univariable and multivariable linear regression analyses were used to identify the associations between various time points of PRF and the RAIV, as a continuous variable.
The mean (sd) RAIV was 24.2 (29.2) cm . The mean preoperative estimated glomerular filtration rate (eGFR) and the eGFRs at postoperative day 1, 6 and 36 months after PN were 91.0 and 76.8, 80.2 and 87.7 mL/min/1.73 m , respectively. In multivariable linear regression analysis, the amount of decline in PRF at follow-up was significantly correlated with the RAIV (β 0.261, 0.165, 0.260 at postoperative day 1, 6 and 36 months after PN, respectively). This study has the limitation of its retrospective nature.
Preoperatively calculated RAIV significantly correlates with the amount of decline in PRF during long-term follow-up. The RAIV could lead our research to the level of prediction of the amount of PRF decline after PN and thus would be appropriate for assessing the technical advantages of emerging techniques.
在一个多机构数据集中,评估术前计算的肾单位损失体积即切除和缺血体积(RAIV)与微创部分肾切除术(PN)后术后肾功能(PRF)下降量之间的相关性。
我们确定了2005年3月至2013年12月期间在六个机构的348例患者。对所有进行的腹腔镜(n = 85)和机器人辅助PN(n = 263)病例的数据进行了回顾性收集。使用单变量和多变量线性回归分析来确定PRF的各个时间点与作为连续变量的RAIV之间的关联。
RAIV的平均(标准差)为24.2(29.2)cm³。术前估计肾小球滤过率(eGFR)的平均值以及PN术后第1、6和36个月的eGFR分别为91.0和76.8、80.2和87.7 mL/min/1.73m²。在多变量线性回归分析中,随访时PRF的下降量与RAIV显著相关(PN术后第1、6和36个月时的β分别为0.261、0.165、0.260)。本研究具有回顾性研究的局限性。
术前计算的RAIV与长期随访期间PRF的下降量显著相关。RAIV可将我们的研究引导至预测PN后PRF下降量的水平,因此适用于评估新兴技术的技术优势。