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

被引:4
|
作者
Ostergaard, Helena Bleken [1 ]
Read, Stephanie H. [2 ]
Sattar, Naveed [3 ]
Franzen, Stefan [4 ,5 ]
Halbesma, Nynke [2 ]
Dorresteijn, Jannick A. N. [1 ]
Westerink, Jan [1 ]
Visseren, Frank L. J. [1 ]
Wild, Sarah H. [2 ]
Eliasson, Bjoern [4 ,6 ]
van der Leeuw, Joep [7 ,8 ]
机构
[1] Univ Med Ctr Utrecht, Dept Vasc Med, POB 85500, NL-3508 GA Utrecht, Netherlands
[2] Univ Edinburgh, Usher Inst, Scottish Diabet Res Network Epidemiol Grp, Edinburgh, Midlothian, Scotland
[3] Univ Glasgow, British Heart Fdn Glasgow Cardiovasc Res Ctr, Inst Cardiovasc & Med Sci, Glasgow, Lanark, Scotland
[4] Ctr Registers Reg, Swedish Natl Diabet Register, Gothenburg, Sweden
[5] Gothenburg Univ, Sahlgrenska Acad, Hlth Metr Unit, Gothenburg, Sweden
[6] Univ Gothenburg, Dept Mol & Clin Med, Gothenburg, Sweden
[7] Univ Med Ctr Utrecht, Dept Nephrol & Hypertens, Utrecht, Netherlands
[8] Franciscus Gasthuis & Vlietland, Dept Internal Med, Rotterdam, Netherlands
关键词
end stage kidney disease; risk factors; diabetes mellitus; epidemiology and outcomes; INDIVIDUAL PARTICIPANT DATA; GENERAL-POPULATION; ALL-CAUSE; OUTCOMES; METAANALYSIS; MORTALITY; MELLITUS; SMOKING; DISEASE; PEOPLE;
D O I
10.2215/CJN.05020422
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
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(2)) 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 c 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.
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页码:1783 / 1791
页数:9
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