Impact of surrogates for insulin resistance on mortality and life expectancy in primary care: a nationwide cross-sectional study with registry linkage (LIPIDOGRAM2015)
2024

Impact of Insulin Resistance on Mortality and Life Expectancy in Primary Care

Sample size: 10688 publication 10 minutes Evidence: high

Author Information

Author(s): Chen Yang, Zhong Ziyi, Gue Ying, Banach Maciej, McDowell Garry, Mikhailidis Dimitri P., Toth Peter P., Penson Peter E., Tomasik Tomasz, Windak Adam, Gierlotka Marek, Osadnik Tadeusz, Kuras Agnieszka, Miga Marcin, Jozwiak Jacek, Lip Gregory Y.H.

Primary Institution: Liverpool Centre for Cardiovascular Science at University of Liverpool

Hypothesis

What is the association between surrogates for insulin resistance and mortality in primary care patients?

Conclusion

Both low and high levels of TyG-BMI and TyG-WC are associated with increased mortality and reduced life expectancy.

Supporting Evidence

  • Cumulative total and premature all-cause mortality were 7.2% and 4.6%, respectively.
  • Lowest and highest quartiles of TyG-BMI and TyG-WC were associated with increased mortality.
  • Patients in the lowest and highest quartiles experienced a reduction in life expectancy.

Takeaway

This study found that both too low and too high levels of certain body measurements related to insulin resistance can lead to a higher chance of dying earlier.

Methodology

The study analyzed data from a nationwide cohort of patients aged 45 and older, assessing the relationship between TyG-related indicators and mortality over a follow-up period of approximately 5.7 years.

Potential Biases

Potential residual confounding due to unmeasured variables.

Limitations

The study is observational and may not establish causality; it also did not account for all potential confounders.

Participant Demographics

Mean age 61.8 years; 63.5% female.

Statistical Information

P-Value

0.0101 for TyG-BMI Q1, 0.0259 for TyG-BMI Q4

Confidence Interval

95% CI 1.07–1.65 for TyG-BMI Q1, 95% CI 1.03–1.58 for TyG-BMI Q4

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1016/j.lanepe.2024.101182

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication