Relationship between Obesity and Coronary Artery Disease Defined by Coronary Computed Tomography Angiography
Int. j. cardiovasc. sci. (Impr.)
; 33(1): 57-64, Jan.-Feb. 2020. tab, graf
Article
en En
| LILACS
| ID: biblio-1090642
Biblioteca responsable:
BR1.1
ABSTRACT
Abstract Background:
Although associated with traditional cardiovascular risk factors, it is unclear whether obesity alone is associated with coronary artery disease (CAD).Objective:
To investigate the role of obesity as a risk factor for CAD, defined by coronary computed tomography angiography (CCTA).Methods:
This study retrospectively included 1,814 patients referred for CCTA in a hospital in São Paulo, from August 2010 to July 2012. CAD was identified by coronary calcium score and presence of coronary stenosis > 50%. Images were analyzed by two specialists, and the coronary findings were compared between obese and non-obese groups. A multivariate analysis model was used to assess obesity as an independent variable for the occurrence of obstructive CAD.Results:
Among the study population, mean age was 58.5 +/- 11.5 years, 22.8% were obese (BMI = 30 kg/m2) and 66.3% were male. The prevalence of obstructive CAD was 18.4% in both groups. Obese patients had higher median calcium score compared to non-obese subjects (14.7 vs. 1.4, respectively, p = 0.019). In the multivariate analysis, obesity was not an independent factor for obstructive CAD (coefficient = -0.035, p = 0.102).Conclusion:
Although no differences were observed in the prevalence of obstructive CAD between obese and non-obese individuals, coronary calcium scores were significantly in lower the latter group.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
LILACS
Asunto principal:
Enfermedad de la Arteria Coronaria
/
Obesidad
Tipo de estudio:
Etiology_studies
/
Observational_studies
/
Prevalence_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Aged
/
Female
/
Humans
/
Male
Idioma:
En
Revista:
Int. j. cardiovasc. sci. (Impr.)
Asunto de la revista:
CARDIOLOGIA
Año:
2020
Tipo del documento:
Article
País de afiliación:
Brasil