Association between single-point insulin sensitivity estimator and heart failure in older adults: A cross-sectional study

Exp Gerontol. 2024 Oct 15:196:112578. doi: 10.1016/j.exger.2024.112578. Epub 2024 Sep 11.

Abstract

Background: Heart failure (HF) is a condition caused by a malfunction of the heart's pumping function. The single-point insulin sensitivity estimator (SPISE) index is a novel indicator for assessing insulin resistance in humans. However, the connection between the SPISE index and the risk of HF in the elderly is unknown. Therefore, our study aims to evaluate the connection between the SPISE index and HF in older adults.

Methods: The study was based on data collected from the 1999-2020 National Health and Nutrition Examination Survey database and included 6165 participants aged ≥60 years. The multivariable linear regression model and the smooth fitting curve model were applied to investigate the connection between the SPISE index and HF in the elderly. Furthermore, the subgroup analysis was performed to investigate the interactive factors.

Results: In this study, the mean age of the population was 69.38 years. After adjusting for all covariates, we observed that the SPISE index was inversely related to the prevalence of HF (OR = 0.87, 95 % CI = 0.80-0.94, P < 0.001) in older adults. The interaction analysis showed that the association might be affected by diabetes mellitus and smoking status. Additionally, an inflection point between the SPISE index and HF was found among older women.

Conclusions: An inverse correlation was detected between the SPISE index and HF in the elderly. This could provide new insight into the prevention and management of HF in the elderly population.

Keywords: Cross-sectional study; Elderly; Heart failure; NHANES; SPISE.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cross-Sectional Studies
  • Diabetes Mellitus / epidemiology
  • Female
  • Heart Failure* / epidemiology
  • Humans
  • Insulin Resistance* / physiology
  • Linear Models
  • Male
  • Middle Aged
  • Nutrition Surveys*
  • Prevalence
  • Risk Factors