Lipids & metabolic liver disease
Prognostic value of metabolic dysfunction-associated steatotic liver disease over coronary computed tomography angiography findings: comparison with no-alcoholic fatty liver disease
Authors' conclusion
Patients with MASLD are likely to have a higher risk of cardiovascular disease than those with NAFLD. Concurrent assessment of MASLD during CCTA improves the identification of patients at a higher risk of cardiovascular disease among those with clinically indicated CCTA.
Study context
- Population
- Patients with no history of coronary artery disease who underwent clinically indicated coronary computed tomography angiography (CCTA); 60% men, mean age 68 years
- Participants
- 2,289 patients
- Exposure
- MASLD vs non-alcoholic fatty liver disease (NAFLD) as predictors of CVD risk in patients undergoing CCTA
- MASLDn = 415
- NAFLDn = 368
- Outcome
- MACE: cardiovascular death, acute coronary syndrome and late coronary revascularization
- Follow-up
- Median 4.4 years
Main finding
As reported in the abstract
MACE
- Major adverse cardiac events (MACE) observed (whole cohort)
- 102 (4.4%)
- MASLD associated with MACE: HR
- 1.82 (95% CI 1.18-2.83, p = 0.007)
- NAFLD association with MACE not significant
- p = 0.070
Observational data: associations, not effects.
Further findings
Adverse CCTA findings (obstructive and/or high-risk plaques)
- Adverse CCTA findings (obstructive and/or high-risk plaques) — Adverse CCTA findings significantly associated with MASLD
- p = 0.007
- Adverse CCTA findings (obstructive and/or high-risk plaques) — Adverse CCTA findings not associated with NAFLD
- p = 0.253
Incremental prognostic value of MASLD added to MACE prediction model (risk score and adverse CCTA findings)
- Global chi-squared increased
- 87.0 to 94.1 (p = 0.008)
Original publication
Prognostic value of metabolic dysfunction-associated steatotic liver disease over coronary computed tomography angiography findings: comparison with no-alcoholic fatty liver disease. Cardiovasc Diabetol. Published 10 May 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →