Zuo Yu-Qiang, Gao Zhi-Hong, Yin Yu-Ling, Yang Xu, Feng Ping-Yong
Department of Health Physical Examination Center, The 2nd Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Department of Imaging Center, The 2nd Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China.
Int J Gen Med. 2021 Nov 23;14:8603-8610. doi: 10.2147/IJGM.S340595. eCollection 2021.
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).
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.
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, <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%.
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.
研究心脏代谢指数(CMI)与高尿酸血症之间的关联,为体重指数(BMI)正常的无症状人群高尿酸血症的管理提供理论支持。
对374名BMI正常的无症状成年人进行横断面研究。计算传统人体测量指标和CMI。将人体测量指标分为四个四分位数,并采用多因素逻辑分析来分析这些指标与高尿酸血症之间的关联。采用受试者工作特征(ROC)曲线和曲线下面积(AUC)来评估各指标预测高尿酸血症值的能力。使用DeLong检验比较不同人体测量指标的AUC。
在调整混杂变量后,CMI与高尿酸血症的关联比其他人体测量指标更强。CMI最高四分位数组中高尿酸血症的比值比(OR)为16.674(置信区间[CI]=4.424-62.846)。CMI的AUC为0.777(95%CI=0.719-0.835,P<0.001),高于其他人体测量指标的值。CMI与其他指标的AUC差异具有统计学意义;CMI的最佳截断值为0.655,敏感性为57.1%,特异性为84.2%。
在BMI正常的无症状人群中,结合腰围、身高和血脂参数的CMI与高尿酸血症的关联比其他人体测量指标更强。CMI可能作为BMI正常的无症状人群高尿酸血症管理的潜在监测指标。