Lipids & metabolic liver disease
Metabolic score for insulin resistance (METS-IR) predicts all-cause and cardiovascular mortality in the general population: evidence from NHANES 2001–2018
Authors' conclusion
In conjunction with the results of the Boruta algorithm, METS-IR demonstrated a more significant association with all-cause and cardiovascular mortality in the U.S. population compared to the other three alternative IR indexes (TyG index, TG/HDL-C and HOMA-IR), particularly evident in individuals under 65 years old.
Study context
- Population
- General US population, NHANES 2001–2018
- Participants
- 14,653 participants
- Exposure
- Four insulin resistance (IR) surrogate indexes for prediction of mortality
- Outcome
- All-cause and CVD mortality
- Follow-up
- Median 116 months
Methodological detailsNHANES 2001–2018, Boruta algorithm variable screening, multivariate Cox regression, restricted cubic splines
- NHANES 2001–2018
- Boruta algorithm variable screening
- Multivariate Cox regression
- Restricted cubic splines
Main finding
As reported in the abstract
- All-cause deaths
- 2085 (10.23%)
- Cardiovascular disease (CVD) deaths
- 549 (2.61%)
- METS-IR below inflection point (41.33), all-cause mortality, HR
- 0.972 (0.950-0.997) (95% CI)
- METS-IR above inflection point (41.33), all-cause mortality, HR
- 1.019 (1.011-1.026) (95% CI)
- METS-IR above inflection point (41.33), CVD mortality, HR
- 1.028 (1.014-1.043) (95% CI)
Observational data: associations, not effects.
Further findings
METS-IR and mortality by age subgroup
- Significant associations of METS-IR with all-cause and CVD mortality predominantly in nonelderly aged < 65 years
Original publication
Metabolic score for insulin resistance (METS-IR) predicts all-cause and cardiovascular mortality in the general population: evidence from NHANES 2001–2018. Cardiovasc Diabetol. Published 10 July 2024. doi:10.
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