Predicting coronary artery severity in patients undergoing coronary computed tomographic angiography: Insights from pan-immune inflammation value and atherogenic index of plasma.
Nutr Metab Cardiovasc Dis
; 34(10): 2289-2297, 2024 Oct.
Article
en En
| MEDLINE
| ID: mdl-38897846
ABSTRACT
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 ANDRESULTS:
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.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Índice de Severidad de la Enfermedad
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Enfermedad de la Arteria Coronaria
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Biomarcadores
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Valor Predictivo de las Pruebas
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Angiografía Coronaria
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Angiografía por Tomografía Computarizada
Límite:
Aged
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Nutr Metab Cardiovasc Dis
Asunto de la revista:
ANGIOLOGIA
/
CARDIOLOGIA
/
CIENCIAS DA NUTRICAO
/
METABOLISMO
Año:
2024
Tipo del documento:
Article
Pais de publicación:
Países Bajos