METS-IR and Mortality in Cardiovascular Disease Patients
Author Information
Author(s): Su Xiaozhou, Rao Huiqing, Zhao Chunli, Zhang Xianwei, Li Donghua
Primary Institution: Minzu Affiliated Hospital of Guangxi Medical University
Hypothesis
METS-IR will be a significant predictor of mortality in individuals with CVD.
Conclusion
This study identified a U-shaped association between lnMETS-IR and mortality among CVD patients, suggesting METS-IR could be a valuable prognostic marker.
Supporting Evidence
- 1,090 patients died during the study, including 447 from cardiovascular causes.
- A U-shaped relationship was identified between lnMETS-IR and mortality.
- An increase of lnMETS-IR below thresholds was associated with a 75% reduction in all-cause mortality risk.
- Above thresholds, an increase of lnMETS-IR was associated with a 180% increase in all-cause mortality risk.
Takeaway
This study found that a specific score related to insulin resistance can help predict how likely heart disease patients are to die, showing that both low and high scores can be risky.
Methodology
Data from 2,515 CVD patients in NHANES were analyzed using multivariable Cox proportional hazards models.
Potential Biases
Potential recall bias in self-reported CVD and lifestyle factors.
Limitations
The study is cross-sectional, limiting causal inference, and relies on self-reported data which may introduce bias.
Participant Demographics
Average age was 66.65 years, with 56.10% male.
Statistical Information
P-Value
p<0.001
Confidence Interval
95% CI: 0.14–0.46 for low lnMETS-IR; 95% CI: 1.61–4.88 for high lnMETS-IR.
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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