Cardiovascular

Comparison analysis of the triglyceride-glucose index, triglyceride-glucose and frailty index in cardiovascular disease and mortality association among patients with rheumatoid arthritis: A population-based cohort study.

TL;DR

Higher TyG-FI was associated with prevalent CVD and cardiovascular mortality among US adults with self-reported RA, with TyG-FI demonstrating better discrimination than TyG alone for prevalent CVD.

Key Findings

Each 1-unit higher TyG-FI was associated with significantly higher odds of prevalent CVD in fully adjusted models.

  • Odds ratio of 4.50 (95% CI: 3.20–6.33) per 1-unit increase in TyG-FI
  • Analysis was based on 1090 adults with self-reported RA from NHANES cycles 1999–2018
  • Multivariable logistic regression was used to examine the association with prevalent CVD
  • TyG-FI was calculated as the product of the triglyceride-glucose index and a 49-item deficit-accumulation frailty index

Each 1-unit higher TyG-FI was associated with a significantly higher hazard of cardiovascular mortality in fully adjusted models.

  • Hazard ratio of 1.77 (95% CI: 1.16–2.70) per 1-unit increase in TyG-FI
  • Cox proportional hazards regression was used to examine cardiovascular mortality
  • The study population was drawn from 10 cycles of NHANES (1999–2018)
  • Sensitivity analyses were conducted to support robustness of findings

Models incorporating TyG-FI demonstrated better discrimination for prevalent CVD compared to models incorporating TyG alone.

  • Area under the receiver operating characteristic curve (AUC) was 0.80 for prevalent CVD in models with TyG-FI, versus 0.73 in models with TyG
  • AUC for cardiovascular mortality was 0.81 in TyG-FI models versus 0.80 in TyG models
  • The improvement in discrimination was more notable for prevalent CVD than for cardiovascular mortality
  • Discrimination analyses were conducted as part of secondary analyses

An exploratory subgroup analysis suggested that the association between TyG-FI and prevalent CVD was stronger among participants aged 65 years or younger.

  • P for interaction = .044 for the age subgroup (≤65 years vs. >65 years)
  • This finding was described as exploratory
  • Subgroup analyses were pre-specified as secondary analyses alongside restricted cubic splines and sensitivity analyses

The study population consisted of 1090 adults with self-reported rheumatoid arthritis drawn from 10 cycles of NHANES conducted between 1999 and 2018.

  • Data were sourced from the National Health and Nutrition Examination Survey (NHANES), a population-based cohort
  • RA status was based on self-report
  • The frailty index was a 49-item deficit-accumulation frailty index
  • TyG-FI was constructed as the product of the triglyceride-glucose index and the frailty index, combining a surrogate marker of insulin resistance with accumulated health deficits

The authors concluded that TyG-FI may capture complementary metabolic and frailty-related information but noted that its incremental predictive value, calibration, clinical utility, and external validity require further evaluation before clinical implementation.

  • Conventional risk assessment may not fully capture the metabolic abnormalities and physiological vulnerability associated with RA
  • The authors explicitly stated that clinical implementation should await further evaluation
  • Calibration and external validity were identified as areas requiring further study
  • CVD is described as a major cause of excess mortality among patients with RA

What This Means

This research suggests that a combined measure called the TyG-FI — which multiplies a blood test marker of insulin resistance (the triglyceride-glucose index) by a score reflecting accumulated health deficits (a frailty index) — may be useful for identifying rheumatoid arthritis (RA) patients who are at higher risk for heart disease and cardiovascular death. Using data from over 1,000 American adults with self-reported RA collected between 1999 and 2018, the researchers found that people with higher TyG-FI scores were more than four times as likely to already have cardiovascular disease and had a 77% higher risk of dying from cardiovascular causes compared to those with lower scores. The study also found that TyG-FI identified heart disease risk better than the triglyceride-glucose index alone, particularly for detecting existing cardiovascular disease (an accuracy score of 0.80 versus 0.73). An additional finding suggested the link between TyG-FI and heart disease may be especially strong in people aged 65 and younger with RA, though this result was exploratory. These findings are notable because people with RA face higher-than-average cardiovascular risks that standard risk tools may not fully capture, partly because RA involves both chronic inflammation and metabolic changes. This research suggests that combining insulin resistance and frailty into a single index could provide a more complete picture of cardiovascular risk in RA patients than either measure alone. However, the authors caution that more research is needed to confirm these findings in other populations, assess how well the tool is calibrated, and determine whether using it in clinical practice would actually improve patient outcomes before it is considered for routine use.

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Citation

Xu Y, Zhao H, Gao Y, Han J, Wu Z, Zhang L, et al.. (2026). Comparison analysis of the triglyceride-glucose index, triglyceride-glucose and frailty index in cardiovascular disease and mortality association among patients with rheumatoid arthritis: A population-based cohort study.. Medicine. https://doi.org/10.1097/MD.0000000000051143