Lipids & metabolic liver disease
Association of atherogenic index of plasma and cardiometabolic index with all-cause mortality and cardiovascular disease in non-alcoholic fatty liver disease (NAFLD) patients: National Health and Nutrition Examination Survey (NHANES) 1999–2018
Authors' conclusion
In patients with NAFLD, CMI is a stronger predictor of non-fatal CVD than AIP. While both indices show limited value for predicting mortality, CMI holds promise as a practical supplementary tool for clinical risk assessment.
Study context
- Population
- Adults (≥18 years) with NAFLD, US NHANES 1999–2018
- Participants
- 5,792 adults
- Exposure
- Highest vs lowest quartiles of atherogenic index of plasma (AIP) and cardiometabolic index (CMI)
- Outcome
- All-cause mortality, CVD mortality and CVD risk
Methodological detailsNHANES cohort analysis, weighted logistic regression, Cox proportional hazards models, restricted cubic spline, subgroup and mediation analyses, sensitivity analyses
- NHANES cohort analysis
- Weighted logistic regression
- Cox proportional hazards models
- Restricted cubic spline
- Subgroup and mediation analyses
- Sensitivity analyses
Main finding
As reported in the abstract
CHF (highest vs reference quartiles)
Odds ratio (95% CI)P value
AIP
3.157(1.684–5.922)
P < 0.001CMI
3.604(1.843–7.047)
P < 0.001Observational data: associations, not effects.
Further findings
Non-linear associations (restricted cubic spline (RCS))
- Non-linear relationship between CMI and CHD, angina pectoris
All-cause mortality, age 40-60 subgroup
- Both AIP and CMI showed high predictive value for all-cause mortality in the 40-60 age cohort
Mediation
- Mets, NLR, hypertension and HOMA-IR partially mediated the associations
Incremental predictive value
- Inclusion of AIP and CMI partially improved predictive capability of the basic model
Original publication
Association of atherogenic index of plasma and cardiometabolic index with all-cause mortality and cardiovascular disease in NAFLD patients: NHANES 1999–2018. Cardiovasc Diabetol. Published 3 February 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →