| Institution: | 1. Division of Cardiology, Yokohama City University Medical Center, Yokohama, Japan;2. Division of Cardiovascular Medicine, Stanford University School of Medicine, Yokohama, Japan;3. Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Graduate School of Medicine, Yokohama, Japan;1. Department of Family Medicine, Yonsei University College of Medicine, Yong-In Severance Hospital, Yong-In, Republic of Korea;2. Department of Medicine, Graduate School of Medicine, Yonsei University, Seoul, Republic of Korea;3. Biostatistics Collaboration Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Republic of Korea;4. Department of Family Medicine, Yonsei University College of Medicine, Gangnam Severance Hospital, Seoul, Republic of Korea;1. Depto. de Bioquímica Clínica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Buenos Aires, Argentina;2. Laboratorio Central, Complejo Médico Churruca-Visca, Buenos Aires, Argentina;3. Servicio de Diabetes y Nutrición Infanto-Juvenil, Complejo Médico Churruca-Visca, Buenos Aires, Argentina;4. Servicio de Endocrinología y Metabolismo, Unidad Asistencial “Dr. César Milstein”, Buenos Aires, Argentina;5. Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy;6. Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Technology Reference Net (XaRTA), Nutrition and Food Safety Research Institute (INSA), Faculty of Pharmacy and Food Sciences, University of Barcelona, 08028 Barcelona, Spain;7. CIBER de Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, 08028 Barcelona, Spain;1. Department of Endocrinology and Metabolism, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan;2. Department of Internal Medicine, Matsushita Memorial Hospital, Osaka, Japan;3. Medical Corporation Soukenkai, Nishimura Clinic, Kyoto, Japan |
| Abstract: | Background and aimsThis study aimed to assess possible association of detailed abdominal fat profiles with coronary plaque characteristics in patients with acute coronary syndrome (ACS).Methods and resultsIn 60 patients with ACS, culprit arteries were evaluated at 1-mm intervals (length analyzed: 66 ± 28 mm) by grayscale and integrated backscatter intravascular ultrasound (IB-IVUS) before percutaneous coronary intervention. Standard IVUS indexes (as a volume index: volume/length), plaque components (as percent tissue volume) and fibrous cap thickness (FCT) were assessed by IB-IVUS. Plain abdominal computed tomography was performed to evaluate subcutaneous adipose tissue (SAT) area, visceral adipose tissue (VAT) area, and VAT/SAT ratio. While SAT area only correlated with vessel volume (r = 0.27, p = 0.04), VAT area correlated positively with vessel (r = 0.30, p = 0.02) and plaque (r = 0.33, p = 0.01) volumes and negatively with FCT (r = −0.26, p = 0.049), but not with percent plaque volume and plaque tissue components. In contrast, higher VAT/SAT ratio significantly correlated with higher percent lipid (r = 0.34, p = 0.008) and lower percent fibrous (r = −0.34, p = 0.007) volumes with a trend toward larger percent plaque volume (r = 0.19, p = 0.15), as well as thinner FCT (r = −0.53, p < 0.0001). In the multiple regression analysis, higher VAT/SAT ratio was independently associated with higher percent lipid with lower percent fibrous volumes (p = 0.03 for both) and thinner fibrous cap thickness (p = 0.0001).ConclusionCoronary plaque vulnerability, defined as increased lipid content with thinner fibrous cap thickness, appears to be more related to abnormal abdominal fat distribution, or so-called hidden obesity, compared with visceral or subcutaneous fat amount alone in patients with ACS. |
