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Cholesterol, high-density lipoprotein, and glucose index versus triglyceride-glucose index in predicting
Degang Mo1, Peng Zhang1, Miao Zhang1
1School of Medicine, Qingdao University, Qingdao, 266000, China.
Insights
The Cholesterol, High-Density Lipoprotein, and Glucose (CHG) index shows a significant linear correlation with increased cardiovascular disease (CVD) risk. This novel index demonstrates predictive capabilities comparable to the established Triglyceride-Glucose (TyG) index for CVD risk assessment.
Area of Science:
- Cardiology
- Metabolic Syndrome
- Epidemiology
Background:
- Cardiovascular disease (CVD) poses a major global health burden.
- The Cholesterol, High-Density Lipoprotein, and Glucose (CHG) index is a novel marker for metabolic disorders.
- The predictive value of the CHG index for CVD risk is currently uninvestigated.
Purpose of the Study:
- To evaluate the predictive efficacy of the CHG index for CVD risk.
- To compare the CHG index's performance against the established Triglyceride-Glucose (TyG) index.
- To assess the relationship between CHG index and CVD risk in an adult population.
Main Methods:
- A cohort study involving 6249 adults aged 45+ from the CHARLS database (2011-2020).
- Calculation of CHG and TyG indices, with CVD events tracked over a nine-year follow-up.
- Analysis using Cox regression, restricted cubic splines (RCS), and receiver operating characteristic (ROC) curves.
Main Results:
- 1667 participants (26.68%) developed CVD.
- Both CHG and TyG indices were associated with increased CVD risk in Cox regression models.
- CHG index showed a positive linear correlation, while TyG index exhibited a non-linear relationship with CVD risk.
Conclusions:
- The CHG index is a significant predictor of increased CVD risk, demonstrating a linear association.
- The CHG index possesses predictive performance comparable to the TyG index for CVD risk assessment.
- The CHG index may serve as a valuable tool for identifying individuals at higher risk of cardiovascular disease.
Background:
Cardiovascular disease (CVD) represents a significant global health challenge, characterized by high incidence rates and substantial morbidity and mortality. A newer index, the Cholesterol, High-Density Lipoprotein, and Glucose (CHG) index, has been proposed as a potential diagnostic tool for metabolic disorders but has not been investigated for its ability to predict CVD risk. This study aims to evaluate the predictive efficacy of the CHG index in comparison to the well-established Triglyceride-Glucose (TyG) index.
Methods:
In this cohort study, 6249 adults aged 45 and older were recruited from the CHARLS database, with data collected from 2011 to 2020. CVD events were tracked over a nine-year follow-up. The TyG and CHG indices were calculated, and their relationships with CVD risk were assessed using univariate and multivariate Cox regression models. Additionally, restricted cubic spline (RCS) analysis was performed to further explore these associations. Receiver operating characteristic (ROC) analysis was conducted to compare the predictive performance of both indices, and subgroup analysis evaluated their applicability in different populations.
Results:
Among the 6249 participants, 1667 (26.68%) developed CVD during the nine-year follow-up. In unadjusted Cox regression models, the TyG index had a hazard ratio (HR) of 1.18 (95% confidence interval CI 1.10-1.27, p < 0.001), while the CHG index showed a higher HR of 1.35 (95% CI 1.21-1.51, p < 0.001). In the adjusted models, the relationship still persisted. The RCS models showed that the TyG index exhibited a non-linear relationship with the risk of CVD, while the CHG index demonstrated a positive linear correlation. ROC curve analysis revealed comparable predictive performance for both indices. The subgroup analysis indicated that there was no interaction between the subgroups and the both indices (p for interaction > 0.05).
Conclusions:
An elevated CHG index is significantly correlated with an increased risk of CVD, demonstrating a linear relationship. Furthermore, it exhibits predictive capabilities comparable to those of the TyG index in assessing CVD risk.
Trial Registration:
Not applicable.
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