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开发和验证 2 型糖尿病患者肾衰竭和治疗获益的终生风险模型:10 年和终生风险预测模型。

Development and Validation of a Lifetime Risk Model for Kidney Failure and Treatment Benefit in Type 2 Diabetes: 10-Year and Lifetime Risk Prediction Models.

机构信息

Department of Vascular Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.

Scottish Diabetes Research Network Epidemiology Group, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

出版信息

Clin J Am Soc Nephrol. 2022 Dec;17(12):1783-1791. doi: 10.2215/CJN.05020422. Epub 2022 Nov 4.

Abstract

BACKGROUND AND OBJECTIVES

Individuals with type 2 diabetes are at a higher risk of developing kidney failure. The objective of this study was to develop and validate a decision support tool for estimating 10-year and lifetime risks of kidney failure in individuals with type 2 diabetes as well as estimating individual treatment effects of preventive medication.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: The prediction algorithm was developed in 707,077 individuals with prevalent and incident type 2 diabetes from the Swedish National Diabetes Register for 2002-2019. Two Cox proportional regression functions for kidney failure (first occurrence of kidney transplantation, long-term dialysis, or persistent eGFR <15 ml/min per 1.73 m) and all-cause mortality as respective end points were developed using routinely available predictors. These functions were combined into life tables to calculate the predicted survival without kidney failure while using all-cause mortality as the competing outcome. The model was externally validated in 256,265 individuals with incident type 2 diabetes from the Scottish Care Information Diabetes database between 2004 and 2019.

RESULTS

During a median follow-up of 6.8 years (interquartile range, 3.2-10.6), 8004 (1%) individuals with type 2 diabetes in the Swedish National Diabetes Register cohort developed kidney failure, and 202,078 (29%) died. The model performed well, with statistics for kidney failure of 0.89 (95% confidence interval, 0.88 to 0.90) for internal validation and 0.74 (95% confidence interval, 0.73 to 0.76) for external validation. Calibration plots showed good agreement in observed versus predicted 10-year risk of kidney failure for both internal and external validation.

CONCLUSIONS

This study derived and externally validated a prediction tool for estimating 10-year and lifetime risks of kidney failure as well as life years free of kidney failure gained with preventive treatment in individuals with type 2 diabetes using easily available clinical predictors.

PODCAST

This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2022_11_04_CJN05020422.mp3.

摘要

背景与目的

2 型糖尿病患者发生肾衰竭的风险更高。本研究旨在开发和验证一种决策支持工具,用于估计 2 型糖尿病患者发生肾衰竭的 10 年和终生风险,以及估计预防药物治疗的个体效果。

设计、设置、参与者和测量方法:预测算法是在 2002 年至 2019 年期间,从瑞典国家糖尿病登记处的 707077 例现患和新发 2 型糖尿病患者中开发的。使用常规可用的预测因素,为肾衰竭(首次肾移植、长期透析或持续 eGFR <15 ml/min/1.73 m)和全因死亡率作为各自的终点,开发了两个 Cox 比例风险回归函数。这些函数被合并到生命表中,以计算无肾衰竭的预测生存率,同时将全因死亡率作为竞争结局。该模型在 2004 年至 2019 年期间苏格兰护理信息糖尿病数据库中 256265 例新发 2 型糖尿病患者中进行了外部验证。

结果

在中位随访 6.8 年(四分位距 3.2-10.6)期间,瑞典国家糖尿病登记处队列中有 8004 例(1%)2 型糖尿病患者发生肾衰竭,202078 例(29%)死亡。该模型表现良好,内部验证的肾衰竭 C 统计量为 0.89(95%置信区间,0.88 至 0.90),外部验证为 0.74(95%置信区间,0.73 至 0.76)。校准图显示,内部和外部验证均显示出观察到的与预测的 10 年肾衰竭风险之间良好的一致性。

结论

本研究使用易于获得的临床预测因素,从瑞典国家糖尿病登记处的 707077 例现患和新发 2 型糖尿病患者中推导并外部验证了一种预测工具,用于估计 2 型糖尿病患者发生肾衰竭的 10 年和终生风险,以及使用预防治疗获得的无肾衰竭生存年数。

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