Development of Risk Prediction Equations for Incident Chronic Kidney Disease

Development of Risk Prediction Equations for Incident Chronic Kidney Disease Key PointsQuestionCan development of chronic kidney disease be predicted using readily available demographic, clinical, and laboratory variables? FindingsIn this analysis of 5 222 711 individuals in 34 multinational cohorts from 28 countries, 5-year risk prediction equations for CKD were developed and demonstrated high discrimination (median C statistic for the equation for individuals without diabetes, 0.85; median C statistic for the equation for individuals with diabetes, 0.80) and variable calibration (69% of the study populations had a slope of observed to predicted risk between 0.80 and 1.25). Discrimination and calibration were similar in 9 external cohorts consisting of 2 253 540 individuals. MeaningEquations for predicting risk of incident chronic kidney disease were developed from more than 5 million individuals from 34 multinational cohorts and demonstrated high discrimination and variable calibration in diverse populations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA American Medical Association

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Publisher
American Medical Association
Copyright
Copyright 2019 American Medical Association. All Rights Reserved.
ISSN
0098-7484
eISSN
1538-3598
DOI
10.1001/jama.2019.17379
Publisher site
See Article on Publisher Site

Abstract

Key PointsQuestionCan development of chronic kidney disease be predicted using readily available demographic, clinical, and laboratory variables? FindingsIn this analysis of 5 222 711 individuals in 34 multinational cohorts from 28 countries, 5-year risk prediction equations for CKD were developed and demonstrated high discrimination (median C statistic for the equation for individuals without diabetes, 0.85; median C statistic for the equation for individuals with diabetes, 0.80) and variable calibration (69% of the study populations had a slope of observed to predicted risk between 0.80 and 1.25). Discrimination and calibration were similar in 9 external cohorts consisting of 2 253 540 individuals. MeaningEquations for predicting risk of incident chronic kidney disease were developed from more than 5 million individuals from 34 multinational cohorts and demonstrated high discrimination and variable calibration in diverse populations.

Journal

JAMAAmerican Medical Association

Published: Dec 3, 2019

References

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