A simplified 8-predictor algorithm demonstrated an area under the receiver operating characteristic curve of 0.69 to 0.70 for predicting incident chronic kidney disease over up to 9 years.
Cohort (n=14,155)
Yes
Can a simple algorithm predict the development of incident kidney disease in middle-aged and older individuals with baseline GFR > 60 mL/min/1.73 m2?
A simple 8-predictor algorithm can help stratify middle-aged and older individuals at high risk for future incident chronic kidney disease.
Effect estimate: AUC 0.69-0.70
BACKGROUND: Despite the growing burden of chronic kidney disease (CKD), there are no algorithms (to our knowledge) to quantify the effect of concurrent risk factors on the development of incident disease. METHODS: A combined cohort (N = 14 155) of 2 community-based studies, the Atherosclerosis Risk in Communities Study and the Cardiovascular Health Study, was formed among men and women 45 years or older with an estimated glomerular filtration rate (GFR) exceeding 60 mL/min/1.73 m(2) at baseline. The primary outcome was the development of a GFR less than 60 mL/min/1.73 m(2) during a follow-up period of up to 9 years. Three prediction algorithms derived from the development data set were evaluated in the validation data set. RESULTS: The 3 prediction algorithms were continuous and categorical best-fitting models with 10 predictors and a simplified categorical model with 8 predictors. All showed discrimination with area under the receiver operating characteristic curve in a range of 0.69 to 0.70. In the simplified model, age, anemia, female sex, hypertension, diabetes mellitus, peripheral vascular disease, and history of congestive heart failure or cardiovascular disease were associated with the development of a GFR less than 60 mL/min/1.73 m(2). A numeric score of at least 3 using the simplified algorithm captured approximately 70% of incident cases (sensitivity) and accurately predicted a 17% risk of developing CKD (positive predictive value). CONCLUSIONS: An algorithm containing commonly understood variables helps to stratify middle-aged and older individuals at high risk for future CKD. The model can be used to guide population-level prevention efforts and to initiate discussions between practitioners and patients about risk for kidney disease.
Kshirsagar et al. (Mon,) conducted a cohort in Chronic kidney disease (n=14,155). 8-predictor simplified categorical model was evaluated on Development of a GFR less than 60 mL/min/1.73 m(2) (AUC 0.69-0.70). A simplified 8-predictor algorithm demonstrated an area under the receiver operating characteristic curve of 0.69 to 0.70 for predicting incident chronic kidney disease over up to 9 years.