Cancer Prognostics and Health Outcomes Unit, University of Montréal Health Center, Montreal, Quebec, Canada.
Urology. 2010 Feb;75(2):315-20. doi: 10.1016/j.urology.2009.10.004. Epub 2009 Dec 6.
To examine the perioperative mortality rates at 90 days (90 dM) after nephroureterectomy (NU) and to devise a model capable of identifying individuals at an elevated 90 dM risk. NU represents the surgical standard of care for patients with invasive, nonmetastatic upper-tract urothelial carcinoma. However, this major abdominal surgery may be associated with a nonnegligible rate of perioperative mortality.
We identified 6078 upper-tract urothelial carcinoma patients treated with NU from 17 registries of the Surveillance, Epidemiology, and End Results database, between 1988 and 2006. Stratified analyses quantified 90 dM rates according to age, gender, race, year of diagnosis, tumor location, surgery type, T stage, tumor grade, and lymph node status. Subsequently, multivariable logistic regression models identified predictors of 90 dM within the development cohort (n = 3039). The accuracy and calibration of the model were tested in an independent validation cohort (n = 3039).
The overall 90 dM rate was 4.4%. Continuously coded age and T and N stages achieved an independent predictor status in multivariable logistic regression models and represented key variables for prediction of individual 90 dM risk after NU, with 73.4% accuracy. Excellent correlation between predicted and observed 90 dM rates after NU was recorded.
In this large-scale population-based analysis of perioperative mortality after NU, age and T and N stages emerged as the most informative predictor of 90 dM. We recommend the use of this tool in individual decision-making and in informed consent considerations.
研究肾输尿管切除术(NU)后 90 天(90dM)的围手术期死亡率,并制定一种能够识别高 90dM 风险个体的模型。NU 是治疗侵袭性、非转移性上尿路尿路上皮癌患者的标准手术方法。然而,这种主要的腹部手术可能与不可忽视的围手术期死亡率相关。
我们从 1988 年至 2006 年期间,从 Surveillance, Epidemiology, and End Results 数据库的 17 个登记处中确定了 6078 例接受 NU 治疗的上尿路尿路上皮癌患者。分层分析根据年龄、性别、种族、诊断年份、肿瘤位置、手术类型、T 分期、肿瘤分级和淋巴结状态来量化 90dM 发生率。随后,多变量逻辑回归模型在开发队列(n=3039)中确定了 90dM 的预测因素。模型的准确性和校准在独立验证队列(n=3039)中进行了测试。
总的 90dM 发生率为 4.4%。连续编码的年龄和 T 期和 N 期在多变量逻辑回归模型中获得了独立预测因素的地位,是预测 NU 后个体 90dM 风险的关键变量,准确率为 73.4%。记录到手术后 90dM 的预测和观察发生率之间存在极好的相关性。
在这项基于人群的 NU 后围手术期死亡率的大规模分析中,年龄、T 期和 N 期是 90dM 的最有信息预测因素。我们建议在个体决策和知情同意考虑中使用该工具。