Association of epicardial fat volume index with coronary artery disease phenotypes based on anatomical and functional imaging: a linkage with the severity of coronary artery disease
Main finding · EFViResult — go to the resultOdds ratio 1.26 95% CI 1.03–1.55Authors' conclusion
EFVi was correlated with the severity of CAD phenotype levels based on anatomical and functional imaging. EFVi had the strongest correlation with CAD phenotypes levels in diabetes subgroup. Notably, EFVi rather than EFV exhibits a distinct linkage with INOCA. EFVi was more effective to provide incremental value of differentiating CAD phenotypes over traditional cardiovascular risk factors than EFV in diabetes subgroup.
Study context
- Population
- Suspected coronary artery disease (CAD) patients who underwent both SPECT/CT MPI and coronary angiography (CAG/CTA); Epicardial fat volume (EFV) and EFVi measured on non-contrast CT
- Participants
- 495 patients
- Exposure
- EFVi across CAD phenotypes defined by obstructive CAD and myocardial ischemia
- Group1n = 165reference
- Group2n = 69
- Group3n = 149
- Group4n = 112
- Outcome
- EFVi
Main finding
As reported in the abstract
Odds ratio
1.26
95% CI 1.03–1.55
P = 0.024
By group
Per SD, as printed
Observational data: associations, not effects.
Further findings
EFVi and CAD phenotype levels, diabetes subgroup
| OR (95% CI) | P value | ||
|---|---|---|---|
| EFVi | 3.45 (1.52–7.82) | P = 0.003 | |
| 0.10.31310Odds ratio (log scale) |
INOCA (Group2 vs Group1) by EFV/EFVi cutoff
| OR (95% CI) | P value | ||
|---|---|---|---|
| EFV >134.47cm3Adjusted multinomial logistic regression, Group1 reference | 1.94 (0.97–3.88) | P = 0.058 | |
| EFVi >80.67cm3/m²Adjusted multinomial logistic regression, Group1 reference | 2.53 (1.25–5.12) | P = 0.010 | |
| 0.20.5125Odds ratio (log scale) |
- EFVi and CAD phenotype levels, diabetes subgroup: ordered logistic regression; strongest correlation among subgroups
INOCA (Group2 vs Group1) by EFV/EFVi cutoff
- Both EFV and EFVi independently associated with Group3 and Group4
Net reclassification improvement
- EFVi more effective than EFV in diabetes subgroup to differentiate CAD phenotypes over traditional cardiovascular risk factors
Original publication
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