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. 2012 Mar;125(3):270-7.
doi: 10.1016/j.amjmed.2011.09.009.

A Risk Score for Chronic Kidney Disease in the General Population

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Free PMC article

A Risk Score for Chronic Kidney Disease in the General Population

Conall M O'Seaghdha et al. Am J Med. .
Free PMC article

Abstract

Background: Stratification of individuals at risk for chronic kidney disease may allow optimization of preventive measures to reduce disease incidence and complications. We sought to develop a risk score that estimates an individual's absolute risk of incident chronic kidney disease.

Methods: Framingham Heart Study participants free of baseline chronic kidney disease, who attended a baseline examination in 1995-1998 and follow-up in 2005-2008, were included in the analysis (n = 2490). Chronic kidney disease was defined as an estimated glomerular filtration rate <60 mL/min/1.73 m(2) using the Modification of Diet in Renal Disease equation. Participants were assessed for the development of chronic kidney disease at 10 years follow-up. Stepwise logistic regression was used to identify chronic kidney disease risk factors, and these were used to construct a risk score predicting 10-year chronic kidney disease risk. Performance characteristics were assessed using calibration and discrimination measures. The final model was externally validated in the bi-ethnic Atherosclerosis Risk in Communities Study (n = 1777).

Results: There were 1171 men and 1319 women at baseline, and the mean age was 57.1 years. At follow-up, 9.2% (n = 229) had developed chronic kidney disease. Age, diabetes, hypertension, baseline estimated glomerular filtration rate, and albuminuria were independently associated with incident chronic kidney disease (P <.05), and these covariates were incorporated into a risk function (c-statistic 0.813). In external validation in the ARIC study, the c-statistic was 0.74 in whites (n = 1353) and 0.75 in blacks (n = 424).

Conclusion: Risk stratification for chronic kidney disease is achievable using a risk score derived from clinical factors that are readily accessible in primary care. The utility of this score in identifying individuals in the community at high risk of chronic kidney disease warrants further investigation.

Figures

Figure 1
Figure 1
Receiver operating characteristic curves for the final renal risk score in a) the derivation (FHS) and b) validation datasets (ARIC; stratified by race).
Figure 1
Figure 1
Receiver operating characteristic curves for the final renal risk score in a) the derivation (FHS) and b) validation datasets (ARIC; stratified by race).

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