Dataset Information

Triglycerides to High-Density Lipoprotein Cholesterol Ratio Is the Best Surrogate Marker for Insulin Resistance in Nonobese Middle-Aged and Elderly Population: A Cross-Sectional Study.

ABSTRACT:

Objective

Insulin resistance (IR) is closely associated with metabolic profiles, including obesity and dyslipidemia. The aim of the present study was to examine how lipid profiles were associated with IR in nonobese middle-aged and elderly Chinese population.

Methods

This cross-sectional study included 1608 subjects. IR was defined by homeostasis model assessment of insulin resistance (HOMA-IR) of at least 2.5.

Results

In nonobese subjects (body mass index (BMI) < 25 kg/m², n = 996), triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C) ratio (odds ratio (OR) = 1.43, 95% confidence interval (CI) 1.13-1.81, P=0.003) was an independent risk factor for IR. The best marker for predicting IR in nonobese subjects was TG/HDL-C ratio with the areas under the receiver operating characteristic curves (AUC) of 0.73 (P < 0.001). The optimal cut-off point to identifying IR for TG/HDL-C ratio was ≥1.50 in the nonobese population. Other markers like BMI, TG, and total cholesterol (TC)/HDL-C also had acceptable discriminatory power for predicting IR in nonobese population (AUC ≥ 0.7 and P < 0.001). BMI had the highest AUC of 0.647 (P < 0.001) after being adjusted, but it was not effective enough to predict IR in obese subjects (BMI ≥ 25.0, n = 612).

Conclusions

The TG/HDL-C ratio may be the best reliable marker for predicting IR in the nonobese middle-aged and elderly Chinese population.

SUBMITTER: Yang Y

PROVIDER: S-EPMC8110426 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Triglycerides to High-Density Lipoprotein Cholesterol Ratio Is the Best Surrogate Marker for Insulin Resistance in Nonobese Middle-Aged and Elderly Population: A Cross-Sectional Study.

Yang Yumei Y Wang Baomin B Yuan Haoyue H Li Xiaomu X

International journal of endocrinology 20210430

<h4>Objective</h4>Insulin resistance (IR) is closely associated with metabolic profiles, including obesity and dyslipidemia. The aim of the present study was to examine how lipid profiles were associated with IR in nonobese middle-aged and elderly Chinese population.<h4>Methods</h4>This cross-sectional study included 1608 subjects. IR was defined by homeostasis model assessment of insulin resistance (HOMA-IR) of at least 2.5.<h4>Results</h4>In nonobese subjects (body mass index (BMI) < 25 kg/m<s ...[more]

PMID: 34007274

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Project description:BackgroundThe ratio of non-high-density lipoprotein cholesterol (non-HDL-C) to high-density lipoprotein cholesterol (HDL-C) (NHHR) served as a novel comprehensive lipid indicator. This study aimed to explore the association between NHHR and the incidence of cardiometabolic multimorbidity (CMM).MethodsThis study included 8191 individuals from the China Health and Retirement Longitudinal Study (CHARLS) database. We used multivariable cox proportional hazards regression, logistic regression, and restricted cubic splines (RCS) analysis to evaluate the association between NHHR and CMM. Subgroup analyses and interaction tests were also performed.ResultsThe incidences of CMM among participants in quartiles (Q) 1-4 of NHHR were 7.03%, 8.3%, 10.06%, and 16.55%, respectively. The NHHR was significantly higher in individuals with CMM compared to those without CMM (P < 0.001). When assessed as a continuous variable, NHHR was independently associated with the risk of CMM, as demonstrated by both multivariable cox proportional hazards regression analysis (HR = 1.05, 95% CI = 1.02-1.07, P < 0.001) and logistic regression analysis (OR = 1.09, 95% CI = 1.04-1.15, P < 0.001). Compared to individuals in the lowest quartiles of the NHHR (Q1), the risk of CMM in the highest quartiles (Q4) was increased by 1.25-fold according to multivariable cox proportional hazards regression analysis (HR = 2.25, 95% CI = 1.73-2.93, P < 0.001) and by 1.48-fold according to logistic regression analysis (OR = 2.48, 95% CI = 1.86-3.31, P < 0.001). This association was consistent across nearly all subgroups. RCS analysis revealed a significant nonlinear association between NHHR and CMM. Additionally, the predictive ability of NHHR for CMM was 0.613, which was superior to that of both HDL-C and non-HDL-C (P < 0.05). Furthermore, the composite variable comprising NHHR and other traditional risk factors exhibited the highest predictive value (C statistic = 0.679).ConclusionA higher NHHR was closely associated with an increased risk of CMM. Further studies on NHHR could be beneficial for preventing and treating CMM.

Project description:Background The triglycerides-glucose index (TyG) and the triglycerides to high-density lipoprotein cholesterol (TG/HDL-C) are simple indicators for assessing insulin resistance in epidemiological studies. We aimed to clarify the relationship between indicators of insulin resistance and prognosis in non-diabetic acute myocardial infarction (AMI) patients. Methods A total of 1,648 AMI patients without diabetes were enrolled from the Department of Cardiology, Zhongda Hospital, between 2012.03 and 2018.12. The medical history, laboratory and imaging data of patients were collected through the medical record system, and all-cause death events were recorded. Pearson analysis was used to study the correlation among different variables. Logistic regression analysis was used to analyze the predictive effect of TyG and TG/HDL-C in in-hospital death of AMI patients. Results 1. In AMI group, the TyG index was significantly increased in death groups compared to no-death groups (P = 0.025). TG/HDL-C was not significantly increased in the death group of AMI patients (P = 0.588). The patients were respectively divided into Q1-Q4 groups and T1-T4 groups according to the quartiles of TyG and TG/HDL-C. The trends of in-hospital mortality in the Q4 group of TyG and T4 group of TG/HDL-C were higher than in other groups, although these differences were not significant. 2. Pearson correlation analysis showed that TyG was positively correlated with lipid-related markers, including ApoB (r = 0.248, P < 0.001), total cholesterol (TC) (r = 0.270, P < 0.001), low-density lipoprotein cholesterol (LDL-C) (r = 0.238, P < 0.001). Spearman analysis showed that TG/HDL-C was also positively associated with TC (r = 0.107, P < 0.001), ApoB (r = 0.180, P < 0.001) and LDL-C (r = 0.164, P < 0.001). 3. Logistic regression analysis showed that TyG (OR = 3.106, 95% CI [2.122–4.547], P < 0.001) and TG/HDL-C (OR = 1.167, 95% CI [1.062–1.282], P = 0.001) were both important factors to predict the in-hospital death of AMI patients without diabetes. Conclusions TyG index and TG/HDL-C, as emerged simple markers of insulin resistance, were both important predictors of in-hospital death in AMI patients without diabetes.

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Dataset Information

Triglycerides to High-Density Lipoprotein Cholesterol Ratio Is the Best Surrogate Marker for Insulin Resistance in Nonobese Middle-Aged and Elderly Population: A Cross-Sectional Study.

Objective

Methods

Results

Conclusions

Publications

Triglycerides to High-Density Lipoprotein Cholesterol Ratio Is the Best Surrogate Marker for Insulin Resistance in Nonobese Middle-Aged and Elderly Population: A Cross-Sectional Study.

Similar Datasets

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