Cross-sectional validation of diabetes risk scores for predicting diabetes, metabolic syndrome, and chronic kidney disease in Taiwanese.
OBJECTIVE
To validate the performance of current diabetes risk scores (DRSs) based on simple clinical information in detecting type 2 diabetes, metabolic syndrome (MetSyn), and chronic kidney disease (CKD).


METHODS
The performance of 10 DRSs was evaluated in a cross-sectional population screening of 2,759 Taiwanese subjects.


RESULTS
All DRSs significantly correlated with measures of insulin resistance, estimated glomerular filtration rate, and urine albumin excretion. The prevalence of screening-detected diabetes (SDM), MetSyn, and CKD increased with higher DRSs. For prediction of SDM, the Cambridge DRS by Griffin et al. and the Finnish DRS outperformed other DRSs in terms of discriminative power and model fit. For prediction of MetSyn and CKD, the Atherosclerosis Risk in Community Study score by Schmidt et al. outperformed other DRSs.


CONCLUSIONS
Risk scores based on simple clinical information are useful to identify individuals at high risk for diabetes, MetSyn, and CKD in different ethnic populations.
Lin
Jou-Wei
JW
Metabolic Syndrome and Diabetes Screening Program, National Taiwan University Hospital Yun-Lin Branch, Dou-Liou City, Taiwan.
Chang
Yi-Cheng
YC
Li
Hung-Yuan
HY
Chien
Yu-Fen
YF
Wu
Mei-Yu
MY
Tsai
Ru-Yi
RY
Hsieh
Yenh-Chen
YC
Chen
Yu-Jen
YJ
Hwang
Juey-Jen
JJ
Chuang
Lee-Ming
LM
D002908:Chronic Disease; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000453:epidemiology*; D005006:Ethnicity / Q000706:statistics & numerical data; D006801:Humans; D007674:Kidney Diseases / Q000453:epidemiology*; D024821:Metabolic Syndrome / Q000453:epidemiology*; D011237:Predictive Value of Tests; D012372:ROC Curve; D044469:Racial Groups / Q000706:statistics & numerical data; D012307:Risk Factors; D013624:Taiwan / Q000453:epidemiology