Harraz Ahmed M, Elkarta Ahmed, Zahran Mohamed H, Mosbah Ahmed, Shaaban Atallah A, Abol-Enein Hassan
Urology and Nephrology Center, Mansoura University, Egypt.
Asian J Urol. 2024 Apr;11(2):294-303. doi: 10.1016/j.ajur.2022.09.002. Epub 2022 Oct 17.
To develop and internally validate a nomogram to predict recurrence-free survival (RFS) including the time to radical cystectomy (RC) and perioperative blood transfusion (PBT) as potential predictors.
Patients who underwent open RC and ileal conduit between January 1996 to December 2016 were split into developing (=948) and validating (=237) cohorts. The time to radical cystectomy (TTC) was defined as the interval between the onset of symptoms and RC. The regression coefficients of the independent predictors obtained by Cox regression were used to construct the nomogram. Discrimination, validation, and clinical usefulness in the validation cohort were assessed by the area under the curve, the calibration plot, and decision curve analysis.
In the developing dataset, the 1-, 5-, and 10-year RFS were 83.0%, 47.2%, and 44.4%, respectively. On multivariate analysis, independent predictors were TTC (hazards ratio [HR] 1.07, 95% confidence interval [CI] 1.05-1.08, <0.001), PBT (one unit: HR 1.40, 95% CI 1.03-1.90, =0.03; two or more units: HR 1.72, 95% CI 1.29-2.29, <0.001), bilateral hydronephrosis (HR 1.54, 95% CI 1.21-1.97, <0.001), squamous cell carcinoma (HR 0.60, 95% CI 0.45-0.81, =0.001), pT3-T4 (HR 1.77, 95% CI 1.41-2.22, <0.001), lymph node status (HR 1.53, 95% CI 1.21-1.95, <0.001), and lymphovascular invasion (HR 1.28, 95% CI 1.01-1.62, =0.044). The areas under the curve in the validation dataset were 79.3%, 69.6%, and 76.2%, for 1-, 5-, and 10-year RFS, respectively. Calibration plots showed considerable correspondence between predicted and actual survival probabilities. The decision curve analysis revealed a better net benefit of the nomogram.
A nomogram with good discrimination, validation, and clinical utility was constructed utilizing TTC and PBT in addition to standard pathological criteria.
开发并进行内部验证一个列线图,以预测无复发生存期(RFS),将根治性膀胱切除术(RC)时间和围手术期输血(PBT)作为潜在预测因素。
1996年1月至2016年12月期间接受开放性RC和回肠导管术的患者被分为开发队列(=948例)和验证队列(=237例)。根治性膀胱切除术时间(TTC)定义为症状出现至RC的间隔时间。通过Cox回归获得的独立预测因素的回归系数用于构建列线图。通过曲线下面积、校准图和决策曲线分析评估验证队列中的辨别力、验证情况和临床实用性。
在开发数据集中,1年、5年和10年的RFS分别为83.0%、47.2%和44.4%。多因素分析显示,独立预测因素为TTC(风险比[HR]1.07,95%置信区间[CI]1.05 - 1.08,<0.001)、PBT(1单位:HR 1.40,95% CI 1.03 - 1.90,=0.03;2单位或更多单位:HR 1.72,95% CI 1.29 - 2.29,<0.001)、双侧肾积水(HR 1.54,95% CI 1.21 - 1.97,<0.001)、鳞状细胞癌(HR 0.60,95% CI 0.45 - 0.81,=0.001)、pT3 - T4(HR 1.77,95% CI 1.41 - 2.22,<0.001)、淋巴结状态(HR 1.53,95% CI 1.21 - 1.95,<0.001)和淋巴管浸润(HR 1.28,95% CI 1.01 - 1.62,=0.044)。验证数据集中1年、5年和10年RFS的曲线下面积分别为79.3%、69.6%和76.2%。校准图显示预测生存概率与实际生存概率之间有相当的一致性。决策曲线分析显示列线图有更好的净效益。
除标准病理标准外,利用TTC和PBT构建了一个具有良好辨别力、验证情况和临床实用性的列线图。