Association of Body Mass Index with Coronary Plaque Regression: 6-Month Prospective Study

Tani, Shigemasa; Nagao, Ken; Anazawa, Takeo; Kawamata, Hirofumi; Furuya, Shinichi; Takahashi, Hiroshi; Iida, Kiyoshi; Matsumoto, Michiaki; Washio, Takahiko; Kumabe, Narimichi; Hirayama, Atsushi

doi:10.5551/jat.e653

Cited by 13 publications

(8 citation statements)

References 21 publications

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“…5,26- 28 Tani et al demonstrated that baseline BMI correlated with coronary PV change, and an increase in BMI attenuated pravastatin-induced coronary plaque regression in their IVUS study. 29 In the present study, baseline BMI showed a positive correlation with baseline waist circumference (r=0.75, P<0.0001, unpublished data), and the change in BMI during the study period significantly correlated with coronary PV change. In addition, the change in BMI was an independent predictor of coronary plaque progression even after adjustment for change in LDL-C, triglycerides, HDL-C and HbA1c.…”

Section: Discussionsupporting

confidence: 62%

Clustering of Metabolic Syndrome Components Attenuates Coronary Plaque Regression During Intensive Statin Therapy in Patients With Acute Coronary Syndrome

Takashima

Morimoto

Kimura

et al. 2012

Circ J

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Section: Discussionsupporting

confidence: 62%

Clustering of Metabolic Syndrome Components Attenuates Coronary Plaque Regression During Intensive Statin Therapy in Patients With Acute Coronary Syndrome

Takashima

Morimoto

Kimura

et al. 2012

Circ J

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“…Family history of cardiovascular disease is an important risk factor but was unable to be comprehensively gathered in this cohort. Finally, patients with severe renal failure were not eligible for coronary predictor of plaque volume progression assessed with intravascular US of an obstructing coronary lesion during pravastatin treatment (27). Labounty et al (28) recently reported registry results showing that symptomatic obese patients were more likely than nonobese patients to have any coronary artery disease at coronary CT angiography as well as to have obstructive coronary artery disease.…”

Section: Cardiac Imaging: Coronary Artery Plaque Volume and Obesity Imentioning

confidence: 99%

Coronary Artery Plaque Volume and Obesity in Patients with Diabetes: The Factor-64 Study

Kwan¹,

May²,

Cater³

et al. 2014

Radiology

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Purpose:To determine the relationship between coronary plaque detected with coronary computed tomographic (CT) angiography and clinical parameters and cardiovascular risk factors in asymptomatic patients with diabetes. Materials and Methods:All patients signed institutional review board-approved informed consent forms before enrollment. Two hundred twenty-four asymptomatic diabetic patients (121 men; mean patient age, 61.8 years; mean duration of diabetes, 10.4 years) underwent coronary CT angiography. Total coronary artery wall volume in all three vessels was measured by using semiautomated software. The coronary plaque volume index (PVI) was determined by dividing the wall volume by the coronary length. The relationship between the PVI and cardiovascular risk factors was determined with multivariable analysis. Results:The mean PVI (6standard deviation) was 11.2 mm 2 6 2.7. The mean coronary artery calcium (CAC) score (determined with the Agatston method) was 382; 67% of total plaque was noncalcified. The PVI was related to age (standardized b = 0.32, P , .001), male sex (standardized b = 0.36, P , .001), body mass index (BMI) (standardized b = 0.26, P , .001), and duration of diabetes (standardized b = 0.14, P = .03). A greater percentage of soft plaque was present in younger individuals with a shorter disease duration (P = .02). The soft plaque percentage was directly related to BMI (P = .002). Patients with discrepancies between CAC score and PVI rank quartiles had a higher percentage of soft and fibrous plaque (18.7% 6 3.3 vs 17.4% 6 3.5 [P = .008] and 52.2% 6 7.2 vs 47.2% 6 8.8 [P , .0001], respectively). Conclusion:In asymptomatic diabetic patients, BMI was the primary modifiable risk factor that was associated with total and soft coronary plaque as assessed with coronary CT angiography.q RSNA, 2014 Clinical trial registration no. NCT00488033

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“…It was noted that increasing BMI was associated with a greater plaque burden and plaque area compared to lower BMI controls (105). Tani et al demonstrated that increasing BMI attenuated statin induced atherosclerotic regression and BMI was well correlated with precent plaque volume (r=0.37, P<0.001) and an independent predictor of plaque volume change (beta coefficient 0.326, 95% CI 0.003 to 0.037; P<0.05) (106). Finally Yonetsu et al studied patients undergoing 3-vessel OCT in patients with and without diabetes and the metabolic syndrome.…”

Section: Obesitymentioning

confidence: 99%

Imaging of coronary atherosclerosis in various susceptible groups

Munnur

Nerlekar

Wong

2016

Cardiovasc. Diagn. Ther.

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Coronary artery disease (CAD) is the leading cause of death and disability worldwide. Atherosclerosis, which is the primary pathophysiologic mechanism for the development of plaque leading to CAD, is a multifactorial process resulting from a complex interplay between genetic susceptibility and various risk factors such as hypertension (HT), dyslipidaemia, diabetes mellitus (DM) and smoking. In addition, influences from other disease states such as chronic kidney disease (CKD), obesity and the metabolic syndrome as well as gender and ethnic diversity also contribute to the disease process. Insights from pathological observations and advances in cellular and molecular biology have helped us understand the process of plaque formation, progression and rupture leading to events. Several intravascular imaging techniques such as intravascular ultrasound (IVUS), Virtual histology IVUS (VH-IVUS) and optical coherence tomography (OCT) allow in vivo assessment of plaque burden, plaque morphology and response to therapy. In addition, non invasive assessment using coronary artery calcium (CAC) score allows risk stratification and plaque burden assessment whilst computed tomography coronary angiography (CTCA) allows evaluation of luminal stenosis, plaque characterisation and quantification. This review aims to summarise the results of invasive and non-invasive imaging studies of coronary atherosclerosis seen in various high-risk populations including DM, metabolic syndrome, obesity, CKD and, gender differences and ethnicity. Understanding the phenotype of plaques in various susceptible groups may allow potential development of personalised therapies.

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Association of Body Mass Index with Coronary Plaque Regression: 6-Month Prospective Study

Abstract: Aim: Obesity is a well known strong risk factor for coronary artery disease (CAD). We prospectively investigated the influence of body mass index (BMI) on the inhibitory effects of pravastatin against the development of coronary atherosclerosis.

Cited by 13 publications

References 21 publications

Clustering of Metabolic Syndrome Components Attenuates Coronary Plaque Regression During Intensive Statin Therapy in Patients With Acute Coronary Syndrome

Clustering of Metabolic Syndrome Components Attenuates Coronary Plaque Regression During Intensive Statin Therapy in Patients With Acute Coronary Syndrome

Coronary Artery Plaque Volume and Obesity in Patients with Diabetes: The Factor-64 Study

Imaging of coronary atherosclerosis in various susceptible groups

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