Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis.

作者信息

Tangri Navdeep, Grams Morgan E, Levey Andrew S, Coresh Josef, Appel Lawrence J, Astor Brad C, Chodick Gabriel, Collins Allan J, Djurdjev Ognjenka, Elley C Raina, Evans Marie, Garg Amit X, Hallan Stein I, Inker Lesley A, Ito Sadayoshi, Jee Sun Ha, Kovesdy Csaba P, Kronenberg Florian, Heerspink Hiddo J Lambers, Marks Angharad, Nadkarni Girish N, Navaneethan Sankar D, Nelson Robert G, Titze Stephanie, Sarnak Mark J, Stengel Benedicte, Woodward Mark, Iseki Kunitoshi

机构信息

Department of Medicine, Seven Oaks General Hospital, University of Manitoba, Winnipeg, Canada2Department of Community Health Sciences, Seven Oaks General Hospital, University of Manitoba, Winnipeg, Canada.

Johns Hopkins Medical Institutions, Baltimore, Maryland.

出版信息

JAMA. 2016 Jan 12;315(2):164-74. doi: 10.1001/jama.2015.18202.

Abstract

IMPORTANCE

Identifying patients at risk of chronic kidney disease (CKD) progression may facilitate more optimal nephrology care. Kidney failure risk equations, including such factors as age, sex, estimated glomerular filtration rate, and calcium and phosphate concentrations, were previously developed and validated in 2 Canadian cohorts. Validation in other regions and in CKD populations not under the care of a nephrologist is needed.

OBJECTIVE

To evaluate the accuracy of the risk equations across different geographic regions and patient populations through individual participant data meta-analysis.

DATA SOURCES

Thirty-one cohorts, including 721,357 participants with CKD stages 3 to 5 in more than 30 countries spanning 4 continents, were studied. These cohorts collected data from 1982 through 2014.

STUDY SELECTION

Cohorts participating in the CKD Prognosis Consortium with data on end-stage renal disease.

DATA EXTRACTION AND SYNTHESIS

Data were obtained and statistical analyses were performed between July 2012 and June 2015. Using the risk factors from the original risk equations, cohort-specific hazard ratios were estimated and combined using random-effects meta-analysis to form new pooled kidney failure risk equations. Original and pooled kidney failure risk equation performance was compared, and the need for regional calibration factors was assessed.

MAIN OUTCOMES AND MEASURES

Kidney failure (treatment by dialysis or kidney transplant).

RESULTS

During a median follow-up of 4 years of 721,357 participants with CKD, 23,829 cases kidney failure were observed. The original risk equations achieved excellent discrimination (ability to differentiate those who developed kidney failure from those who did not) across all cohorts (overall C statistic, 0.90; 95% CI, 0.89-0.92 at 2 years; C statistic at 5 years, 0.88; 95% CI, 0.86-0.90); discrimination in subgroups by age, race, and diabetes status was similar. There was no improvement with the pooled equations. Calibration (the difference between observed and predicted risk) was adequate in North American cohorts, but the original risk equations overestimated risk in some non-North American cohorts. Addition of a calibration factor that lowered the baseline risk by 32.9% at 2 years and 16.5% at 5 years improved the calibration in 12 of 15 and 10 of 13 non-North American cohorts at 2 and 5 years, respectively (P = .04 and P = .02).

CONCLUSIONS AND RELEVANCE

Kidney failure risk equations developed in a Canadian population showed high discrimination and adequate calibration when validated in 31 multinational cohorts. However, in some regions the addition of a calibration factor may be necessary.

摘要

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