Association between the cardiometabolic index and hyperuricemia in an asymptomatic population with normal body mass index

YQ Zuo, ZH Gao, YL Yin, X Yang… - International Journal of …, 2021 - Taylor & Francis
YQ Zuo, ZH Gao, YL Yin, X Yang, PY Feng
International Journal of General Medicine, 2021Taylor & Francis
Background and Purpose The association between the cardiometabolic index (CMI) and
hyperuricemia was investigated to provide theoretical support for the management of
hyperuricemia in an asymptomatic population with normal body mass index (BMI). Methods
A cross-sectional study was carried out among 374 asymptomatic adults with normal BMI.
Traditional anthropometric indices and CMI were calculated. Anthropometric indices were
divided into four quartiles and multivariate logistic analysis was used to analyze the …
Background and Purpose
The association between the cardiometabolic index (CMI) and hyperuricemia was investigated to provide theoretical support for the management of hyperuricemia in an asymptomatic population with normal body mass index (BMI).
Methods
A cross-sectional study was carried out among 374 asymptomatic adults with normal BMI. Traditional anthropometric indices and CMI were calculated. Anthropometric indices were divided into four quartiles and multivariate logistic analysis was used to analyze the association between these indices and hyperuricemia. Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to evaluate the power of the indices to predict hyperuricemia values. The DeLong test was used to compare the AUC of different anthropometric indices.
Results
After adjusting for confounding variables, the CMI exhibited a stronger association with hyperuricemia than other anthropometric indices. The odds ratio (OR) for hyperuricemia in the highest quartile of the CMI was 16.674 (confidence interval [CI]=4.424–62.846). The AUC of the CMI was 0.777 (95% CI=0.719–0.835, p<0.001), which was higher than the values for other anthropometric indices. The differences in AUC between the CMI and other indices were statistically significant; the optimal cutoff value of the CMI was 0.655, with sensitivity of 57.1% and specificity of 84.2%.
Conclusion
The CMI, which combines waist circumference, height and blood lipid parameters, was more strongly associated with hyperuricemia than other anthropometric indices in asymptomatic population with normal BMI. The CMI may serve as a potential monitoring indicator for hyperuricemia management in asymptomatic populations with normal BMI.
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