Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Canada.
Am J Kidney Dis. 2017 May;69(5):568-575. doi: 10.1053/j.ajkd.2016.08.035. Epub 2016 Nov 14.
Information on an individual's risk for death following dialysis therapy initiation may inform the decision to initiate maintenance dialysis for older adults. We derived and validated a clinical risk prediction tool for all-cause mortality among older adults during the first 6 months of maintenance dialysis treatment.
Prediction model using retrospective administrative and clinical data.
SETTING & PARTICIPANTS: We linked administrative and clinical data to define a cohort of 2,199 older adults (age ≥ 65 years) in Alberta, Canada, who initiated maintenance dialysis therapy (excluding acute kidney injury) in May 2003 to March 2012.
Demographics, laboratory data, comorbid conditions, and measures of health system use.
All-cause mortality within 6 months of dialysis therapy initiation.
Predicted mortality by logistic regression with 10-fold cross-validation.
375 (17.1%) older adults died within 6 months. We developed a 19-point risk score for 6-month mortality that included age 80 years or older (2 points), glomerular filtration rate of 10 to 14.9mL/min/1.73m (1 point) or ≥15mL/min/1.73m (3 points), atrial fibrillation (2 points), lymphoma (5 points), congestive heart failure (2 points), hospitalization in the prior 6 months (2 points), and metastatic cancer (3 points). Model discrimination (C statistic = 0.72) and calibration (Hosmer-Lemeshow χ=10.36; P=0.2) were reasonable. As examples, a score < 5 equated to <25% of individuals dying in 6 months, whereas a score > 12 predicted that more than half the individuals would die in the first 6 months.
The tool has not been externally validated; thus, generalizability cannot be assessed.
We used readily available clinical information to derive and internally validate a 7-variable tool to predict early mortality among older adults after dialysis therapy initiation. Following successful external validation, the tool may be useful as a clinical decision tool to aid decision making for older adults with kidney failure.
了解个体在开始透析治疗后死亡的风险信息可能有助于决定是否为老年患者启动维持性透析治疗。我们开发并验证了一种适用于接受维持性透析治疗的老年患者(不包括急性肾损伤)的全因死亡率预测模型,该模型可在治疗开始后的前 6 个月使用。
使用回顾性行政和临床数据的预测模型。
我们将行政和临床数据进行了关联,定义了一个队列,其中包括 2199 名年龄≥65 岁的老年患者(加拿大艾伯塔省),他们在 2003 年 5 月至 2012 年 3 月期间开始接受维持性透析治疗(不包括急性肾损伤)。
人口统计学、实验室数据、合并症和卫生系统使用情况的衡量指标。
在开始透析治疗后的 6 个月内的全因死亡率。
使用 10 倍交叉验证的逻辑回归预测死亡率。
375 名(17.1%)老年患者在 6 个月内死亡。我们制定了一个 6 个月死亡率的 19 分风险评分,其中包括 80 岁或以上(2 分)、肾小球滤过率为 10 至 14.9mL/min/1.73m(1 分)或≥15mL/min/1.73m(3 分)、心房颤动(2 分)、淋巴瘤(5 分)、充血性心力衰竭(2 分)、6 个月内住院(2 分)和转移性癌症(3 分)。模型区分度(C 统计量=0.72)和校准度(Hosmer-Lemeshow χ=10.36;P=0.2)合理。例如,评分<5 意味着<25%的个体在 6 个月内死亡,而评分>12 则预测超过一半的个体将在第 1 至 6 个月内死亡。
该工具尚未经过外部验证;因此,无法评估其普遍性。
我们使用现成的临床信息开发并内部验证了一种适用于预测透析治疗开始后老年患者早期死亡率的 7 变量工具。在成功进行外部验证后,该工具可作为一种临床决策工具,帮助决策患有肾衰竭的老年患者。