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- Title
Combined body mass index with high-sensitivity C-reactive protein as independent predictors for chronic kidney disease in a relatively healthy population in Taiwan.
- Authors
Tsai, Y-W; Lu, M-C; Lin, Y-H; Lee, Y-C; Li, W-C; Chen, J-Y; Chang, S-S
- Abstract
<bold>Background/objectives: </bold>Obesity, a chronic inflammatory state, increases risk of cardiovascular disease and insulin resistance, which are the leading cause of end-stage renal disease (ESRD). We evaluated the relationship between body mass index (BMI) and high-sensitivity C-reactive protein (hsCRP) level and impaired kidney function to determine the predictive value of both markers for estimating chronic kidney disease (CKD) risk in a healthy adult population in Taiwan.<bold>Subjects/methods: </bold>In a retrospective cross-sectional study of 4100 subjects ⩾18 years, a multivariate logistic regression model was used to assess the relationship among BMI, high hsCRP levels and CKD. Receiver-operating characteristic curve and Youden index were developed to define the discrimination power of combining BMI with hsCRP for CKD prediction and to determine the best predictive index.<bold>Results: </bold>Overweight/obese subjects with high hsCRP levels had the highest odds ratio for CKD (P=0.048). In females, combining BMI with hsCRP for CKD prediction was superior to that of males (0.890 vs 0.623, respectively; both P<0.001). For females, the Youden index was 25.65 kg/m(2) for BMI and 1.04 μg/ml for hsCRP.<bold>Conclusions: </bold>Overweight/obesity with higher hsCRP levels is associated with reduced renal function and increased risk for CKD. BMI and hsCRP levels can be used as surrogate markers for CKD risk, especially for females.
- Subjects
TAIWAN; OBESITY complications; C-reactive protein; CARDIOVASCULAR diseases; CHRONIC kidney failure; INFLAMMATION; INSULIN resistance; REFERENCE values; LOGISTIC regression analysis; BODY mass index; CROSS-sectional method; RETROSPECTIVE studies; RECEIVER operating characteristic curves; ODDS ratio; DISEASE complications
- Publication
European Journal of Clinical Nutrition, 2016, Vol 70, Issue 7, p766
- ISSN
0954-3007
- Publication type
journal article
- DOI
10.1038/ejcn.2016.28