Gupta Ruchir, Tori Marco, Babitz Stephen K, Tobert Conrad M, Anema John G, Noyes Sabrina L, Lane Brian R
Washington and Jefferson College, Washington, PA; Spectrum Health, Grand Rapids, MI.
Michigan State University College of Human Medicine, Grand Rapids, MI.
Urology. 2019 Feb;124:160-167. doi: 10.1016/j.urology.2018.03.055. Epub 2018 Aug 11.
To evaluate the accuracy of radius, exophytic/endophytic, nearness to collecting system/sinus, anterior/posterior, and location relative to polar lines (RENAL), preoperative aspects and dimensions used for anatomical classification (PADUA), contact surface area (CSA), and preoperative assessment of volume preservation (PAVP) nephrometry scores in predicting postoperative renal functional outcomes after partial nephrectomy (PN). Few studies have compared the accuracy of tumor complexity systems directly in the same set of PN patients.
Patients treated with robotic, laparoscopic, or open PN having available imaging (n = 344) were examined. The ability of 4 systems to predict nadir estimated glomerular filtration rate (eGFR [median postoperative day 1]) and new baseline eGFR (median: 0.95 year) was analyzed using univariable and multivariable models.
Median preoperative, nadir, and new baseline eGFR were 79 (interquartile range [IQR]: 63-97), 65 (IQR: 47-85), and 80 (IQR: 63-99) mL/min/1.73 m. Multivariable models incorporating RENAL, PADUA, CSA, or PAVP were similarly predictive of postoperative renal function (nadir eGFR: R = 0.683-0.688, new baseline eGFR: R = 0.775). In univariable analysis, all 4 complexity systems were predictors of nadir GFR (each P < .05), with RENAL (P = .045), CSA (P = .027), and PAVP (P = .012) also significantly predicting nadir eGFR in multivariable models. No complexity system was significantly associated with new baseline eGFR in multivariable analysis, with only RENAL (P = .023) and PAVP (P = .049) having a statistically significant association in univariable analysis.
RENAL, PADUA, CSA, and PAVP are all predictors of early postoperative renal function. RENAL and PAVP provided the greatest predictive ability for later renal functional outcomes.
评估肾肿瘤半径、外生性/内生性、与集合系统/肾窦的距离、前后位置以及相对于极线的位置(RENAL)、用于解剖学分类的术前特征和尺寸(PADUA)、接触表面积(CSA)以及术前肾功能保留评估(PAVP)肾计量评分在预测部分肾切除术(PN)术后肾功能结局方面的准确性。很少有研究在同一组PN患者中直接比较肿瘤复杂性系统的准确性。
对接受机器人手术、腹腔镜手术或开放手术的PN且有可用影像学资料的患者(n = 344)进行检查。使用单变量和多变量模型分析4种系统预测最低估计肾小球滤过率(eGFR[术后第1天中位数])和新的基线eGFR(中位数:0.95年)的能力。
术前、最低和新的基线eGFR中位数分别为79(四分位间距[IQR]:63 - 97)、65(IQR:47 - 85)和80(IQR:63 - 99)mL/min/1.73 m²。纳入RENAL、PADUA、CSA或PAVP的多变量模型对术后肾功能的预测相似(最低eGFR:R = 0.683 - 0.688,新的基线eGFR:R = 0.775)。在单变量分析中,所有4种复杂性系统都是最低GFR的预测因素(各P < 0.05),在多变量模型中,RENAL(P = 0.045)、CSA(P = 0.027)和PAVP(P = 0.012)也显著预测最低eGFR。在多变量分析中,没有复杂性系统与新的基线eGFR显著相关,在单变量分析中只有RENAL(P = 0.023)和PAVP(P = 0.049)有统计学显著相关性。
RENAL、PADUA、CSA和PAVP都是术后早期肾功能的预测因素。RENAL和PAVP对后期肾功能结局的预测能力最强。