Predicting coronary artery severity in patients undergoing coronary computed tomographic angiography: Insights from pan-immune inflammation value and atherogenic index of plasma
Nutrition, Metabolism and Cardiovascular Diseases, cilt.34, sa.10, ss.2289-2297, 2024 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 34 Sayı: 10
- Basım Tarihi: 2024
- Doi Numarası: 10.1016/j.numecd.2024.05.015
- Dergi Adı: Nutrition, Metabolism and Cardiovascular Diseases
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.2289-2297
- Anahtar Kelimeler: Pan-immune inflammation value (PIV), Atherogenic index of plasma (AIP), Coronary computed tomographic angiography (CCTA), CAD-RADS, Predictive capability
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
Background and aims: Coronary computed tomographic angiography (CCTA) is pivotal in diagnosing coronary artery disease (CAD). We explored the link between CAD severity and two biomarkers, Pan-Immune Inflammation Value (PIV) and Atherogenic Index of Plasma (AIP), in stable CAD patients. Methods and results: A retrospective observational study of 409 CCTA patients with stable angina pectoris. Logistic regression identified predictors of severe CAD, stratified by CAD-RADS score. Receiver Operating Characteristic (ROC) curves evaluated predictive performance. PIV and AIP were significant predictors of severe CAD (PIV: OR 1.002, 95% CI: 1.000–1.004, p < 0.021; AIP: OR 0.963, 95% CI: 0.934–0.993, p < 0.04). AUC values for predicting severe CAD were 0.563 (p < 0.001) for PIV and 0.625 (p < 0.05) for AIP. Combined with age, AUC improved to 0.662 (p < 0.02). Conclusions: PIV and AIP were associated with severe CAD, with AIP demonstrating superior predictive capability. Incorporating AIP into risk assessment could enhance CAD prediction, offering a cost-effective and accessible method for identifying individuals at high risk of coronary atherosclerosis.