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Published on: June 20, 2014
Association between METS-IR and heart failure: a cross-sectional study
Xiaozhou Su1, Chunli Zhao1, Xianwei Zhang1
1Department of Cardiology, Minzu Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Insights
The metabolic score for insulin resistance (METS-IR) shows a J-shaped link with heart failure (HF) risk in US adults. Higher METS-IR may predict increased heart failure risk, warranting further investigation.
Area of Science:
- Cardiology
- Metabolic Syndrome
- Public Health
Background:
- Insulin resistance is linked to heart failure (HF) development.
- The metabolic score for insulin resistance (METS-IR) is a new measure for insulin resistance.
- The association between METS-IR and HF risk is not well understood.
Purpose of the Study:
- To investigate the relationship between METS-IR and the risk of heart failure (HF).
- To explore the nonlinear association and identify potential inflection points.
Main Methods:
- Cross-sectional study using NHANES data (2007-2018).
- Multivariable logistic regression and smoothing curve fitting were employed.
- Subgroup and ROC curve analyses were conducted for robustness.
Main Results:
- A significant positive association was found between METS-IR and HF risk (OR: 2.44).
- A J-shaped, nonlinear relationship was observed, with an inflection point at METS-IR of 40.966.
- No significant interactions were found in subgroup analyses.
Conclusions:
- A J-shaped association exists between METS-IR and HF in US adults.
- METS-IR shows potential as a novel index for predicting HF risk.
- Further longitudinal studies are needed to confirm causality and validate findings.
Background:
Prior research has indicated the importance of insulin resistance in the development of heart failure (HF). The metabolic score for insulin resistance (METS-IR), a novel measure for assessing insulin resistance, has been found to be associated with cardiovascular disease (CVD). Nevertheless, the relationship between METS-IR and heart failure remains uncertain.
Methods:
This cross-sectional study collected data from the 2007-2018 National Health and Nutrition Examination Survey (NHANES). Multivariable logistic regression analysis and smoothing curve fitting were performed to explore the relationship between METS-IR and the risk of heart failure. Subgroup analysis and receiver operating characteristic (ROC) curve analysis were also conducted.
Results:
A total of 14772 patients were included, of whom 485 (3.28%) had heart failure. We observed a significant positive association between METS-IR and the risk of heart failure in a fully adjusted model (per 1-unit increment in METS-IR: OR: 2.44; 95% CI: 1.38, 4.32). Subgroup analysis and interaction tests revealed no significant influence on this relationship. A saturation effect and nonlinear relationship between METS-IR and heart failure risk were found using a smoothing curve fitting analysis. The relationship was represented by a J-shaped curve with an inflection point at 40.966.
Conclusions:
The results of our study indicated a J-shaped association between METS-IR and HF in adults in the United States. METS-IR may be a promising novel index for predicting the risk of heart failure. More longitudinal studies are needed to further verify causal relationships and validate the results in different classifications of heart failure populations.
