Prediction of kidney-related outcomes in patients with type 2 diabetes.
BACKGROUND
Tools are needed to predict which individuals with diabetes will develop kidney disease and its complications.


METHODS
An observational analysis of a randomized controlled trial.


METHODS
The ADVANCE (Action in Diabetes and Vascular Disease: Preterax and Diamicron MR Controlled Evaluation) Study followed up 11,140 participants with type 2 diabetes for 5 years.


METHODS
Readily available baseline demographic and clinical variables.


RESULTS
(1) Major kidney-related events (doubling of serum creatinine to ≥2.26 mg/dL [≥200 μmol/L], renal replacement therapy, or renal death) in all participants, and (2) new-onset albuminuria in participants with baseline normoalbuminuria.


METHODS
Cox proportional hazard regression models predicting the outcomes were used to generate risk scores. Discrimination of the risk prediction models was compared with that of models based on estimated glomerular filtration rate (eGFR) alone, urinary albumin-creatinine ratio (ACR) alone, and their combination.


RESULTS
Risk scores for major kidney-related events and new-onset albuminuria were derived from 7- and 8-variable models, respectively. Baseline eGFR and ACR were dominant although models based on the 2 factors, alone or combined, had less discrimination (P<0.05) than the risk prediction models containing additional variables (risk prediction model C statistics of 0.847 [95% CI, 0.815-0.880] for major kidney-related events, and 0.647 [95% CI, 0.637-0.658] for new-onset albuminuria). Novel risk factors for new-onset albuminuria included Asian ethnicity and greater waist circumference, and for major kidney-related events, less education. The risk prediction models had acceptable calibration for both outcomes (modified Hosmer-Lemeshow test, P=0.9 and P=0.06, respectively).


CONCLUSIONS
The follow-up period was limited to 5 years. Results are applicable to people with type 2 diabetes at risk of vascular disease.


CONCLUSIONS
Risk scores have been developed for early and late events in diabetic nephropathy. Although eGFR and urinary ACR are important components of the prediction models, the extra variables considered add significantly to discrimination and, in the case of new-onset albuminuria, are required to achieve satisfactory calibration.
George Institute for Global Health, Sydney, Australia. mjardine@georgeinstitute.org.au
Meg J
MJ
Jardine
Jun
J
Hata
Mark
M
Woodward
Vlado
V
Perkovic
Toshiharu
T
Ninomiya
Hisatomi
H
Arima
Sophia
S
Zoungas
Alan
A
Cass
Anushka
A
Patel
Michel
M
Marre
Giuseppe
G
Mancia
Carl E
CE
Mogensen
Neil
N
Poulter
John
J
Chalmers
D000368:Aged; D000419:Albuminuria / Q000209:etiology; D003924:Diabetes Mellitus, Type 2 / Q000150:complications*; D003928:Diabetic Nephropathies / Q000209:etiology*; D005260:Female; D006801:Humans; D007674:Kidney Diseases / Q000209:etiology*; D008297:Male; D011379:Prognosis; D016032:Randomized Controlled Trials as Topic; D018570:Risk Assessment