PDF(Pubmed)
Abstract：
UNASSIGNED: Cardiometabolic multimorbidity (CMM) has emerged as a prominent public health concern. Hypertensive patients are prone to develop comorbidities. Moreover, the accumulation of visceral adipose tissue is the main cause for the development of cardiometabolic diseases. The cardiometabolic index (CMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and Chinese visceral adiposity index (CVAI) not only assess adipose tissue mass but also reflect adipose tissue dysfunction. So far, no study has been reported to evaluate the association of CMI, LAP, VAI, and CVAI with CMM risk in hypertensive patients. Therefore, this study aimed to assess the association between these adiposity indicators and the risk of CMM among Chinese hypertensive patients.
UNASSIGNED: In this cross-sectional study, a total of 229,287 hypertensive patients aged 35 years and older were included from the National Basic Public Health Service Project. All participants underwent a face-to-face questionnaire survey, physical examination, and the collection of fasting venous blood samples. Multivariable logistic regression models were performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic curve was utilized to evaluate the identification ability for CMM.
UNASSIGNED: After adjusting for confounders, each 1-standard deviation increase in CMI, LAP, VAI, and CVAI was associated with a 14%, 8%, 12%, and 54% increased risk of CMM, respectively. When comparing the highest quartile of these indicators with the lowest quartile, individuals in the highest quartile of CMM, LAP, VAI, and CVAI had a 1.39-fold (95% CI 1.30, 1.48), 1.28-fold (95% CI 1.19, 1.37), 1.37-fold (95% CI 1.29, 1.46), and 2.56-fold (95% CI 2.34, 2.79) increased risk of CMM after adjusting for potential confounders. Notably, a nonlinear association was observed for CMI, LAP, and VAI with the risk of CMM (all P nonlinearity < 0.001). CVAI exhibited the highest area under the receiver operating characteristic curve (AUC) among all the included adiposity indices in this analysis.
UNASSIGNED: This study indicated the significant positive association of CMI, LAP, VAI, and CVAI with the risk of CMM in hypertensive patients. Among these indicators, CVAI demonstrated the most robust performance in predicting CMM risk and may serve as a valuable tool for identifying CMM risk in Chinese hypertensive patients.
UNASSIGNED: In this cross-sectional study, a total of 229,287 hypertensive patients aged 35 years and older were included from the National Basic Public Health Service Project. All participants underwent a face-to-face questionnaire survey, physical examination, and the collection of fasting venous blood samples. Multivariable logistic regression models were performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic curve was utilized to evaluate the identification ability for CMM.
UNASSIGNED: After adjusting for confounders, each 1-standard deviation increase in CMI, LAP, VAI, and CVAI was associated with a 14%, 8%, 12%, and 54% increased risk of CMM, respectively. When comparing the highest quartile of these indicators with the lowest quartile, individuals in the highest quartile of CMM, LAP, VAI, and CVAI had a 1.39-fold (95% CI 1.30, 1.48), 1.28-fold (95% CI 1.19, 1.37), 1.37-fold (95% CI 1.29, 1.46), and 2.56-fold (95% CI 2.34, 2.79) increased risk of CMM after adjusting for potential confounders. Notably, a nonlinear association was observed for CMI, LAP, and VAI with the risk of CMM (all P nonlinearity < 0.001). CVAI exhibited the highest area under the receiver operating characteristic curve (AUC) among all the included adiposity indices in this analysis.
UNASSIGNED: This study indicated the significant positive association of CMI, LAP, VAI, and CVAI with the risk of CMM in hypertensive patients. Among these indicators, CVAI demonstrated the most robust performance in predicting CMM risk and may serve as a valuable tool for identifying CMM risk in Chinese hypertensive patients.
摘要：
■心脏代谢多重性疾病（CMM）已成为一个突出的公共卫生问题。高血压患者容易出现合并症。此外，内脏脂肪组织的积累是心脏代谢疾病发展的主要原因。心脏代谢指数（CMI），脂质积累产物（LAP），内脏肥胖指数（VAI），中国内脏肥胖指数（CVAI）不仅评估脂肪组织质量，而且反映脂肪组织功能障碍。到目前为止,没有研究报告评估CMI的相关性，LAP,VAI,和CVAI与高血压患者的CMM风险。因此,本研究旨在评估中国高血压患者中这些肥胖指标与CMM风险之间的关联.
■在这项横断面研究中，国家基本公共卫生服务项目共纳入229,287名35岁及以上的高血压患者。所有参与者都进行了面对面的问卷调查，体检,采集空腹静脉血样本.使用多变量逻辑回归模型来估计比值比（ORs）和95％置信区间（CIs）。利用接收器工作特征曲线来评估CMM的识别能力。
■调整混杂因素后，CMI每增加1个标准偏差，LAP,VAI,CVAI与14%相关，8%,12%,CMM的风险增加了54%，分别。当比较这些指标的最高四分位数与最低四分位数时，坐标测量机最高四分位数的个体，LAP,VAI,CVAI为1.39倍（95%CI1.30，1.48），1.28倍（95%CI1.19，1.37），1.37倍（95%CI1.29，1.46），校正潜在混杂因素后CMM风险增加2.56倍(95%CI2.34,2.79)。值得注意的是,观察到CMI的非线性关联，LAP,和VAI具有CMM的风险(所有P非线性<0.001)。在此分析中，CVAI在所有纳入的肥胖指数中，受试者工作特征曲线（AUC）下的面积最高。
■这项研究表明CMI呈显著正相关，LAP,VAI,和CVAI与高血压患者的CMM风险有关。在这些指标中,CVAI在预测CMM风险方面表现出最强大的性能，可能是识别中国高血压患者CMM风险的有价值的工具。
■在这项横断面研究中，国家基本公共卫生服务项目共纳入229,287名35岁及以上的高血压患者。所有参与者都进行了面对面的问卷调查，体检,采集空腹静脉血样本.使用多变量逻辑回归模型来估计比值比（ORs）和95％置信区间（CIs）。利用接收器工作特征曲线来评估CMM的识别能力。
■调整混杂因素后，CMI每增加1个标准偏差，LAP,VAI,CVAI与14%相关，8%,12%,CMM的风险增加了54%，分别。当比较这些指标的最高四分位数与最低四分位数时，坐标测量机最高四分位数的个体，LAP,VAI,CVAI为1.39倍（95%CI1.30，1.48），1.28倍（95%CI1.19，1.37），1.37倍（95%CI1.29，1.46），校正潜在混杂因素后CMM风险增加2.56倍(95%CI2.34,2.79)。值得注意的是,观察到CMI的非线性关联，LAP,和VAI具有CMM的风险(所有P非线性<0.001)。在此分析中，CVAI在所有纳入的肥胖指数中，受试者工作特征曲线（AUC）下的面积最高。
■这项研究表明CMI呈显著正相关，LAP,VAI,和CVAI与高血压患者的CMM风险有关。在这些指标中,CVAI在预测CMM风险方面表现出最强大的性能，可能是识别中国高血压患者CMM风险的有价值的工具。
