Association of pericardial fat volume with coronary atherosclerotic disease assessed by CT angiography

Cardiovascular Diseases Risk Predictors: ABO Blood Groups in a Different Role

Cardiovascular diseases (CVDs) pose a serious threat to people's health, with extremely high global morbidity, mortality, and disability rates. This study aimed to review the literature that examined the relationship between blood groups and CVD. Many studies have reported that non-O blood groups are associated with an increased risk and severity of coronary artery disease and acute coronary syndromes. Non-O blood groups increase the risk and severity of these conditions by increasing von Willebrand factor and plasma cholesterol levels and inducing endothelial dysfunction and inflammation. They have also been linked with increased coronary artery calcification, coronary lesion complexity, and poor collateral circulation. Blood groups also affect the prognosis of coronary artery disease and acute coronary syndrome and can alter the rate of complications and mortality. Several cardiovascular complications have been described for coronavirus disease 2019, and blood groups can influence their occurrence. No studies have found a significant relationship between the Lewis blood group and CVD. In conclusion, people with non-O blood groups should be vigilantly monitored for cardiovascular risk factors as prevention and proper treatment of these risk factors may mitigate their risk of CVD and adverse cardiovascular events.

Quantification of epi- and pericardial adipose tissue deposits between males and females during cardiac CT may potentially help categorize coronary artery disease risk with thoracic circumference

INTRODUCTION

This study aims to investigate the association between epi- and pericardial adipose tissue deposits around the heart against patient body habitus when using cardiac computed tomography (CT).

METHODS

Ninety-two consecutive patients with suspected coronary artery disease underwent coronary CT angiography with quantitative cardiac and adipose tissue volume measurements. Body mass index (BMI), body surface area (BSA), thoracic circumference, anteroposterior diameter, cardiac and adipose tissue volumes were compared between genders by employing Pearson's correlation and results were considered statistically significant if p ≤ 0.05.

RESULTS

Statistically significant differences between genders were observed with males having a greater height (males 1.72 ± 0.11), BMI (30.76 ± 7.87 kg/m²), BSA (2.06 ± 0.21 m²), thoracic circumference (1022.12 ± 97.90 mm²), and pericardial adipose tissue volume (46.72 ± 36.62 mm³) (p < 0.05). For men, for Group 1 (BMI ≤ 27) each of the measured volumes showed moderate correlation between pericardial adipose tissue and AP chest-diameter (r = 0.429, p <0.05), whereas in Group 2 (27 < BMI ≤ 31.1), coronary artery volume had a strong association with the AP chest-diameter (r = 0.453, p < 0.05).

CONCLUSION

BMI and thoracic circumference are closely related to variable epi- and pericardial adipose tissue volumes in both males and females during cardiac CT.

IMPLICATIONS FOR PRACTICE

Quantification of epi- and pericardial adipose tissue deposits between males and females during cardiac CT may help further categorise coronary artery disease risk when including BMI and thoracic circumference for males and females.

Cardiac Adipose Tissue Contributes to Cardiac Repair: a Review

Cardiac adipose tissue is a metabolically active adipose tissue in close proximity to heart. Recent studies emphasized the benefits of cardiac adipose tissue in heart remodeling, such as reducing infarction size, enhancing neovascularization and regulating immune response, through a series of cellular mechanisms. In the present manuscript, we provide a comprehensive review regarding the role of cardiac adipose tissue in cardiac repair. We focus on different cardiac adipose tissues according to their distinguished anatomical structures. This review summarizes the latest evidence on the relationship between cardiac adipose tissue and cardiac repair. Cardiac adipose tissues (CAT) were systematically reviewed in the current manuscript which focused on the components of CAT, debates about cardiac adipose stem cells and their effect on heart.

Pericardial adiposity versus body adiposity measured by BMI in the assessment of coronary atherosclerosis burden in patients with hypertension

OBJECTIVES

The link between obesity and hypertension with coronary atherosclerosis is complex. We aimed to assess the association of cardiac fat deposition measured by pericardial fat volume(PFV) using by multi-detector CT(MDCT) and general obesity measured by BMI with subclinical coronary atherosclerotic markers (coronary artery calcium score (CAC), coronary plaque and stenosis) in patients with hypertension and suspected coronary artery disease.

METHODS

Among 496 patients presenting with chest pain who underwent 64-slice MDCT angiography to exclude occlusive coronary disease, 261 patients with hypertension (age: 57 ± 8 years, 45% males) enrolled in the present study.

RESULTS

PFV showed a significant association with CAC(r = 0.2,P = .001),coronary stenosis severity(PFV median(IQR) 88(63-161) in patients with coronary stenosis<50% compared to PFV median(IQR) 125(85-140) in patients with coronary stenosis ≥ 50%, P = .001) and coronary plaque presence (PFV median (IQR) 89(65-128) in patients without plaque compared to PFV median (IQR) 115(74-150) in patients with plaque presence = 0.03).the significant association of PFV with CAC[odds ratio(95% confidence interval = 0.5(0.19-0.97),P = .001] and coronary stenosis severity [odds ratio(95% confidence interval = 1.1(1.00-1.01),P = .01]persisted after adjustment for conventional cardiac risk. BMI showed a significant association with significant coronary stenosis presence (P = .02).The association of BMI with significant coronary stenosis presence after adjustment for conventional cardiac risk factors (P = .03).BMI showed no significant association with CAC and coronary plaque presence (P > .05).

CONCLUSION

PFV showed a significant independent association with coronary calcification and significant coronary stenosis in patients with hypertension rather than BMI.

Pericardial fat volume and coronary atherosclerotic markers among body mass index groups

Background

Increased pericardial fat volume (PFV) is associated with coronary atherosclerosis burden independent of body mass index (BMI) in many clinical studies. However, the association of PFV with markers of coronary atherosclerosis has not yet been assessed by dividing the patients according to BMI categories.

Hypothesis

To assess the association of PFV measured by multi‐detector CT (MDCT) angiography with coronary atherosclerotic markers (coronary artery calcium score [CAC], plaque type, and luminal stenosis) among BMI categories.

Methods

A total of 496 patients with suspected coronary artery disease who underwent 64‐slice MDCT angiography examination were enrolled. Patients divided into obese, overweight, and normal weight groups according to BMI degree.

Results

PFV showed a significant association with CAC, non‐calcified coronary plaque, and significant coronary stenosis in obese group. After adjusting for cardiac risk factors, the association of PFV with the non‐calcified coronary plaque and significant coronary stenosis persisted. There was a significant association between PFV with CAC and significant coronary stenosis in normal weight group. The association between PFV with CAC and significant coronary stenosis in normal weight was persisted afar adjusting for cardiac risk factors. No significant association was noted between PFV with coronary plaque type in normal weight group. There was no significant independent association between PFV with coronary atherosclerotic markers in overweight group.

Conclusions

Increased PFV was associated with advanced stage atherosclerosis in normal weight group, while increased PFV was associated with non‐calcified plaque in obese. These results highlight the differential relationship of PFV with coronary atherosclerotic markers among BMI categories.

Pericardial fat versus BMI in the assessment of coronary atherosclerotic burden in patients with diabetes mellitus

AIMS

To investigate the association of obesity measured by body mass index (BMI) versus pericardial fat volume (PFV) measured by multi-detector computed tomography (MDCT) with coronary atherosclerotic markers (coronary artery calcium score (CAC), coronary stenosis severity and coronary plaque presence) in patients with type 2 diabetes mellitus (DM).

METHODS

Among 496 patients with suspected coronary artery disease who underwent 64-slice MDCT angiography to exclude occlusive coronary artery disease, 102 patients with DM were enrolled in the present study.

RESULTS

PFV showed a significant association with CAC (r = 0.2, P = 0.01) and significant coronary artery stenosis [PFV median (IQR) = 75 (51-136) in patients with coronary stenosis < 50% versus PFV median (IQR) = 113 (68-140) in patients with coronary stenosis ≥ 50%, P = 0.01] while there was no significant association of PFV with coronary plaque presence (PFV median (IQR) = 84 (56-140) in patients without plaque versus PFV median (IQR) = 109 (70-136) in patients with plaque presence, P = 0.4). The association between PFV with CAC persisted after adjustment for conventional cardiac risk factors. BMI showed no significant association with CAC, coronary stenosis severity and coronary plaque presence (P > 0.05).

CONCLUSIONS

PFV was independently associated with CAC in diabetic patients. PFV, rather than obesity measured by BMI, could be used as an imaging biomarker for assessing coronary atherosclerotic burden in patients with DM.

Water-fat Dixon cardiac magnetic resonance fingerprinting

Purpose

Cardiac magnetic resonance fingerprinting (cMRF) has been recently introduced to simultaneously provide T₁, T₂, and M₀ maps. Here, we develop a 3‐point Dixon‐cMRF approach to enable simultaneous water specific T₁, T₂, and M₀ mapping of the heart and fat fraction (FF) estimation in a single breath‐hold scan.

Methods

Dixon‐cMRF is achieved by combining cMRF with several innovations that were previously introduced for other applications, including a 3‐echo GRE acquisition with golden angle radial readout and a high‐dimensional low‐rank tensor constrained reconstruction to recover the highly undersampled time series images for each echo. Water–fat separation of the Dixon‐cMRF time series is performed to allow for water‐ and fat‐specific T₁, T₂, and M₀ estimation, whereas FF estimation is extracted from the M₀ maps. Dixon‐cMRF was evaluated in a standardized T₁–T₂ phantom, in a water–fat phantom, and in healthy subjects in comparison to current clinical standards: MOLLI, SASHA, T₂‐GRASE, and 6‐point Dixon proton density FF (PDFF) mapping.

Results

Dixon‐cMRF water T₁ and T₂ maps showed good agreement with reference T₁ and T₂ mapping techniques (R² > 0.99 and maximum normalized RMSE ~5%) in a standardized phantom. Good agreement was also observed between Dixon‐cMRF FF and reference PDFF (R² > 0.99) and between Dixon‐cMRF water T₁ and T₂ and water selective T₁ and T₂ maps (R² > 0.99) in a water–fat phantom. In vivo Dixon‐cMRF water T₁ values were in good agreement with MOLLI and water T₂ values were slightly underestimated when compared to T₂‐GRASE. Average myocardium septal T₁ values were 1129 ± 38 ms, 1026 ± 28 ms, and 1045 ± 32 ms for SASHA, MOLLI, and the proposed water Dixon‐cMRF. Average T₂ values were 51.7 ± 2.2 ms and 42.8 ± 2.6 ms for T₂‐GRASE and water Dixon‐cMRF, respectively. Dixon‐cMRF FF maps showed good agreement with in vivo PDFF measurements (R² > 0.98) and average FF in the septum was measured at 1.3%.

Conclusion

The proposed Dixon‐cMRF allows to simultaneously quantify myocardial water T₁, water T₂, and FF in a single breath‐hold scan, enabling multi‐parametric T₁, T₂, and fat characterization. Moreover, reduced T₁ and T₂ quantification bias caused by water–fat partial volume was demonstrated in phantom experiments.

The role of pericardial adipose tissue in the heart of obese minipigs

BACKGROUND

Pericardial adipose tissue (PAT) volume is highly associated with the presence and severity of cardiometabolic diseases, but the underlying mechanism is unknown. We previously demonstrated that a high-fat diet (HFD) induced metabolic dysregulation, cardiac fibrosis and accumulation of more PAT in minipigs. This study used our obese minipig model to investigate the characteristics of PAT and omental visceral fat (VAT) induced by a HFD, and the potential link between PAT and HFD-related myocardial fibrosis.

MATERIALS AND METHODS

Five-month-old Lee-Sung minipigs were made obese by feeding a HFD for 6 months.

RESULTS

The HFD induced dyslipidemia, cardiac fibrosis and more fat accumulation in the visceral and pericardial depots. The HFD changes the fatty acid composition in the adipose tissue by decreasing the portion of linoleic acid in the VAT and PAT. No arachidonic acid was detected in the VAT and PAT of control pigs, whereas it existed in the same tissues of obese pigs fed the HFD. Compared with the control pigs, elevated levels of malondialdehyde and TNFα were exhibited in the plasma and PAT of obese pigs. HFD induced greater size of adipocytes in VAT and PAT. Higher levels of GH, leptin, OPG, PDGF, resistin, SAA and TGFβ were observed in obese pig PAT compared to VAT.

CONCLUSION

This study demonstrated the similarities and dissimilarities between PAT and VAT under HFD stimulus. In addition, this study suggested that alteration in PAT contributed to the myocardial damage.

Index of cardiac electrophysiological balance and transmural dispersion of the repolarization index relationships with pericardial fat volume and coronary calcification

AIM

To assess the possible relationship between coronary atherosclerosis markers, pericardial fat volume (PFV) and coronary artery calcification, with ECG markers of index of the cardiac electrophysiological balance (iCEB) and transmural dispersion of the repolarization in patients with suspected coronary artery disease.

METHODOLOGY

One hundred patients who underwent 64-slice multidetector computed tomography angiography were found to be eligible and were enrolled in the study.

RESULTS

Patients with high iCEB levels tended to have a higher PFV values compared with patients with low iCEB levels (median [interquartile range]) (152 [29-206] vs 96 [14-177]; p = 0.03). No significant differences in coronary artery calcification values were observed between iCEB and transmural dispersion of the repolarization groups.

CONCLUSION

A higher PFV value was observed in patients with high iCEB. Larger prospective studies are required to confirm the results.

Chest adipose tissue distribution in patients with morbid obesity

Purpose

Obesity is a well-known of risk factor for atherosclerosis and the amount of visceral adipose tissue is considered as an independent predictor of coronary artery disease (CAD). An aim of the study was to investigate the distribution of intrathoracic adipose tissue in morbidly obese patients.

Material and methods

Fifty-one patients with morbid obesity (BMI ≥ 40 kg/m²) and thirty controls were scanned in a coronary calcium scoring protocol. Control group consisted of patients scanned due to a clinical suspicion of CAD, who did not fulfill obesity criteria. The amount of adipose tissue was measured as epicardial adipose tissue (EAT) thickness, pericoronary fat (PCF) thickness, total intra-pericardial fat (IPF) volume, and total intrathoracic fat (ITF) volume.

Results

Mean BMI of obese patients and controls was 47.3 and 26.5, respectively (p < 0.0001). Patients with obesity and controls did not differ with respect to mean EAT, mean PCF, and IPF. However, ITF was lower in obesity group than in control group (268 vs. 332 cm³, respectively; p < 0.03). Moreover, ROC analysis presented relation between obesity and the superior EAT thickness, PCF at LCX, mean PCF, ITF, and chest soft tissue (CST) thickness (p < 0.03). CST thickness of > 60 mm was the parameter that presented the strongest association with morbid obesity (AUC 0.95; p < 0.0001).

Conlcusions

Increased chest soft tissue thickness but not the increased intrathoracic adipose tissue volume was associated with morbid obesity. Since the quantity of the pericardiac fat is not directly related to the obesity, its accumulation may be related to a mechanism different than that of subcutaneous adipose tissue growth.

Correlates of pericardial adipose tissue volume using multidetector CT scanning in cardiac patients in China

BACKGROUND

Pericardial adipose tissue (PAT) is an emerging cardiovascular risk factor, yet much less is understood about PAT volume in Chinese adults, especially in relation to physical activity. The study explores associations between demographic and clinical variables and PAT volume, using multidetector computed tomography (MDCT) scanning in China. We also examined the relationship between PAT volume and coronary artery disease (CAD).

METHODS

An observational, correlational study design was used. Chinese (n=163) attended a study visit and underwent MDCT scanning between September 2014 and December 2015.

RESULTS

Participants were 48.5% male and had a mean age of 60.6 (SD 9.4) years. PAT volume was higher (p=0.001) in males than in females. PAT volume was correlated with age (r=0.388, p=0.001), systolic blood pressure (r=0.205, p=0.009), body mass index (r=0.466, p=0.001), high-density cholesterol (r=-0.282, p=0.001), low-density cholesterol (r=0.177, p=0.024), and triglycerides (r=0.248, p=0.001). Both moderate intensity physical activity energy consumption (r=-0.363, p=0.001) and total physical activity (r=-0.290, p=0.001) had inverse relationships with PAT volume. Total sedentary energy consumption was positively related to PAT volume (r=0.266, p=0.001). Multiple regression revealed that age, male gender, BMI, LDL-C and total physical activity energy consumption were significant predictors of PAT volume (R²=0.465). The relationship between PAT volume and CAD was found to be significant in the adjusted models.

CONCLUSIONS

Age, male gender, BMI, LDL-C and total physical activity energy consumption were significant predictors of PAT volume, and PAT volume itself is a predictor of CAD.

Impact of Body Mass Index on Vascular Calcification and Pericardial Fat Volume Among Patients with Suspected Coronary Artery Disease

OBJECTIVES

This study aimed to assess the effect of body mass index (BMI) on the relationship between pericardial fat volume (PFV), aortic root calcification (ARC) and coronary artery calcification (CAC) among patients with suspected coronary artery disease (CAD).

METHODS

This cross-sectional study took place between January and December 2014 at the Kufa University Teaching Hospital, Najaf, Iraq. A total of 130 consecutive patients with an intermediate pretest probability of ischaemic heart disease who underwent 64-slice multidetector computed tomography (CT) angiography during the study period were recruited. Of these, 111 were included in the study and divided into groups according to BMI. Imaging markers were measured on CT angiography.

RESULTS

A total of 28 patients were obese, while 42 and 41 were overweight and normal weight, respectively. The median PFV, CAC and ARC was 109 cm(3) (interquartile range [IQR]: 52-176 cm(3)), 0 Agatston score (IQR: 0-52 Agatston score) and 0 Agatston score (IQR: 0-15 Agatston score), respectively, in the normal weight group in comparison to 79 cm(3) (IQR: 43-138 cm(3)), 0 Agatston score (IQR: 0-54 Agatston score) and 0 Agatston score (IQR: 0-0 Agatston score), respectively, in the obese group. Significant correlations were observed between PFV and CAC (r(2) = 0.22; P = 0.002) and ARC and CAC (r(2) = 0.37; P <0.001) in the normal weight group. However, no significant correlations were observed for obese and overweight patients.

CONCLUSION

These findings indicate that BMI may not be an accurate tool for measuring adiposity or assessing subclinical coronary atherosclerosis in patients with suspected CAD.