scholarly journals Increased Pericardial Adipose Tissue in Smokers

2021 ◽  
Vol 10 (15) ◽  
pp. 3382
Author(s):  
Gregor S. Zimmermann ◽  
Tobias Ruether ◽  
Franz von Ziegler ◽  
Martin Greif ◽  
Janine Tittus ◽  
...  

Background: Pericardial adipose tissue (PAT), a visceral fat depot directly located to the heart, is associated with atherosclerotic and inflammatory processes. The extent of PAT is related to the prevalence of coronary heart disease and might be used for cardiovascular risk prediction. This study aimed to determine the effect of smoking on the extent of PAT. Methods: We retrospectively examined 1217 asymptomatic patients (490 females, age 58.3 ± 8.3 years, smoker n = 573, non-smoker n = 644) with a multislice CT scanner and determined the PAT volume. Coronary risk factors were determined at inclusion, and a multivariate analysis was performed to evaluate the influence of smoking on PAT independent from accompanying risk factors. Results: The mean PAT volume was 215 ± 107 mL in all patients. The PAT volume in smokers was significantly higher compared to PAT volume in non-smokers (231 ± 104 mL vs. 201 ± 99 mL, p = 0.03). Patients without cardiovascular risk factors showed a significantly lower PAT volume (153 ± 155 mL, p < 0.05) compared to patients with more than 1 risk factor. Odds ratio was 2.92 [2.31, 3.61; p < 0.001] for elevated PAT in smokers. Conclusion: PAT as an individual marker of atherosclerotic activity and inflammatory burden was elevated in smokers. The finding was independent from metabolic risk factors and might therefore illustrate the increased inflammatory activity in smokers in comparison to non-smokers.

Author(s):  
Liza Toemen ◽  
Susana Santos ◽  
Arno A W Roest ◽  
Meike W Vernooij ◽  
Willem A Helbing ◽  
...  

Abstract Aims  We examined the associations of pericardial adipose tissue with cardiac structures and cardiovascular risk factors in children. Methods and results  We performed a cross-sectional analysis in a population-based cohort study among 2892 children aged 10 years (2404 normal weight and 488 overweight/obese). Pericardial adipose tissue mass was estimated by magnetic resonance imaging (MRI) and indexed on height3. Left ventricular mass (LVM) and left ventricular mass-to-volume ratio (LMVR) were estimated by cardiac MRI. Cardiovascular risk factors included android adipose tissue percentage obtained by Dual-energy X-ray absorptiometry, blood pressure and glucose, insulin, cholesterol, and triglycerides concentrations. Adverse outcomes were defined as values above the 75 percentile. Median pericardial adipose tissue index was 3.6 (95% range 1.6–7.1) among normal weight and 4.7 (95% range 2.0–8.9) among overweight children. A one standard deviation (1 SD) higher pericardial adipose tissue index was associated with higher LMVR [0.06 standard deviation scores, 95% confidence interval (CI) 0.02–0.09], increased odds of high android adipose tissue [odd ratio (OR) 2.08, 95% CI 1.89–2.29], high insulin concentrations (OR 1.17, 95% CI 1.06–1.30), an atherogenic lipid profile (OR 1.22, 95% CI 1.11–1.33), and clustering of cardiovascular risk factors (OR 1.56, 95% CI 1.36–1.79). Pericardial adipose tissue index was not associated with LVM, blood pressure, and glucose concentrations. The associations showed largely the same directions but tended to be weaker among normal weight than among overweight children. Conclusion  Pericardial adipose tissue is associated with cardiac adaptations and cardiovascular risk factors already in childhood in both normal weight and overweight children.


2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
F Zhu ◽  
B Arshi ◽  
E Aribas ◽  
MA Ikram ◽  
MK Ikram ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): the Erasmus Medical Center and Erasmus University Rotterdam; the Netherlands Organization for Health Research and Development (ZonMw); Purpose To evaluate the sex-specific predictive value of two cardiac biomarkers; N-terminal pro B-type natriuretic peptide (NT-proBNP) and high sensitivity cardiac troponin T (hs-cTnT), alongside traditional cardiovascular risk factors, for 10-year cardiovascular risk prediction in general population. Methods A total of 5430 participants (mean age 68.1 years; 59.9% women) free of cardiovascular disease (CVD), with blood sample measurements between 1997 and 2001 were included. We developed a ‘base’ model using cardiovascular risk factors used in the Pooled Cohort Equation (includes age, sex, systolic blood pressure, treatment of hypertension, total and high-density lipoprotein cholesterol levels, smoking, and diabetes) and then extended the ‘base’ model with NT-proBNP or hs-cTnT. These models were developed for coronary heart disease (CHD), stroke, and heart failure (HF) and also for composite CVD outcomes. To evaluate biomarkers’ added predictive value, c-statistic, and net reclassification improvement index (NRI) for events and non-events were calculated. NRI was calculated using cutoffs of 5%, 7.5% and 20% to categorize participants as low, borderline, intermediate, or high risk. Results Adding NT-proBNP to the ‘base’ model significantly improved c-statistic for all outcomes (increases ranged between 0.012-0.047), with the largest improvement in HF [0.026 (95% CI, 0.013, 0.040) for women and 0.047 (95% CI, 0.026, 0.069) for men]. Adding hs-TnT to ‘base’ model increased the c-statistic for CHD in women by 0.040 (95% CI, 0.013, 0.067) and for HF in men by 0.032 (95% CI, 0.005, 0.059). Improvments in reclassification by both biomarkers were mostly limited to modest improvemetns in reclassification of non-events [largest non-event NRI for global CVD in women (NT-proBNP: 11.8%; hs-cTnT: 10.5%) and for HF in men (NT-proBNP: 9.6%; hs-cTnT: 8.4%)]. Conclusion NT-proBNP improved model performance for prediction of all cardiovascular outcomes, in particular for HF, beyond traditional risk factors for both women and men. Hs-cTnT showed modest added predictive value beyond traditional risk factors for CHD among women and for HF among men. Imropovements in reclassification by both biomarkers were modest and not clinically relevant. Improvements of 10-year risk predictions Events Adding NT-proBNP Adding troponin T Delta c-statistic* Event NRI, % Non-event NRI, % Delta c-statistic* Event NRI, % Non-event NRI, % WomenASCVD Global CVD 0.012 (0.004, 0.020) 0.018 (0.010, 0.026) -1.7 (-5.0, 1.5)-0.8 (-3.8, 2.2) 5.4 (3.5, 7.2)11.8 (9.6, 14.1) 0.028 (0.009, 0.048)0.025 (0.009, 0.040) -0.4 (-7.1, 6.2)2.9 (-2.4, 8.3) 6.9 (3.9, 9.9)10.5 (7.3, 13.8) MenASCVD Global CVD 0.016 (0.005, 0.027)0.023 (0.012, 0.033) 0.7 (-2.3, 3.7)-0.3 (-3.0, 2.4) 5.2 (3.2, 7.2)7.2 (4.9, 9.4) 0.007 (-0.002, 0.016)0.011 (0.000, 0.021) -1.1 (-5.0, 2.7)-1.6 (-6.0, 2.8) 4.0 (1.2, 6.9)6.4 (3.1, 9.7) ASCVD comprises coronary heart disease and stroke; Global CVD comprises coronary heart disease, stroke and heart failure.


2021 ◽  
Author(s):  
Evangelos K Oikonomou ◽  
Alexios S Antonopoulos ◽  
David Schottlander ◽  
Mohammad Marwan ◽  
Chris Mathers ◽  
...  

Abstract Aims Coronary CT angiography (CCTA) is a first-line modality in the investigation of suspected coronary artery disease (CAD). Mapping of perivascular Fat Attenuation Index (FAI) on routine CCTA enables the non-invasive detection of coronary artery inflammation by quantifying spatial changes in perivascular fat composition. We now report the performance of a new medical device, CaRi-Heart®, which integrates standardised FAI mapping together with clinical risk factors and plaque metrics to provide individualised cardiovascular risk prediction. Methods and Results The study included 3912 consecutive patients undergoing CCTA as part of clinical care in the United States (n = 2040) and Europe (n = 1872). These cohorts were used to generate age-specific nomograms and percentile curves as reference maps for the standardised interpretation of FAI. The first output of CaRi-Heart® is the FAI-Score of each coronary artery, which provides a measure of coronary inflammation adjusted for technical, biological and anatomical characteristics. FAI-Score is then incorporated into a risk prediction algorithm together with clinical risk factors and CCTA-derived coronary plaque metrics to generate the CaRi-Heart® Risk that predicts the likelihood of a fatal cardiac event at 8 years. CaRi-Heart® Risk was trained in the US population and its performance was validated externally in the European population. It improved risk discrimination over a clinical risk factor-based model (Δ[C-statistic] of 0.085, P = 0.01 in the US Cohort and 0.149, P &lt; 0.001 in the European cohort) and had a consistent net clinical benefit on decision curve analysis above a baseline traditional risk factor-based model across the spectrum of cardiac risk. Conclusion CaRi-Heart® reliably improves cardiovascular risk prediction by incorporating traditional cardiovascular risk factors along with comprehensive CCTA coronary plaque and perivascular adipose tissue phenotyping. This integration advances the prognostic utility of CCTA for individual patients and paves the way for its use as a screening tool among patients referred for CCTA. Translational Perspective Mapping of perivascular Fat Attenuation Index (FAI) on coronary computed tomography angiography (CCTA) enables the non-invasive detection of coronary artery inflammation by quantifying spatial changes in perivascular fat composition. We now report the performance of a new medical device, CaRi-Heart®, which integrates standardised FAI mapping together with clinical risk factors and plaque metrics to provide age-standardised reference maps and individualised cardiovascular risk prediction. This integration advances the prognostic value of CCTA and paves the way for its use as a screening tool among patients referred for CCTA.


2017 ◽  
Vol 37 (suppl_1) ◽  
Author(s):  
Joshua P Rivers ◽  
Amit K Dey ◽  
Jonathan H Chung ◽  
Anshuma Rana ◽  
Abhishek Chaturvedi ◽  
...  

Background: Psoriasis (PSO), a chronic inflammatory disease associated with increased cardiovascular (CV) risk, provides a reliable human model to study inflammatory atherogenesis. PSO has been known to be associated with cardiometabolic dysfunction including adipose tissue dysfunction. Recently, visceral adiposity (VAT) was shown to be associated with increased CV events, but whether VAT is associated with subclinical atherosclerosis as assessed by coronary plaque burden has not been characterized. Hypothesis: We hypothesized that VAT volume by CT is associated with total burden (TB) and more specifically with non-calcified burden (NCB) by CCTA. Methods: Consecutive PSO patients (N=68) underwent CT scans to measure abdominal adiposity. VAT volume was quantified from the level of the diaphragm to the pubic symphysis and reported in volume. Coronary plaque characterization was performed by CCTA (Toshiba 30 slice) via QAngio CT software (Medis, The Netherlands). The relationship of VAT with TB and NCB was analyzed using unadjusted and adjusted multivariable regression models (STATA 12). Results: The cohort was middle-aged, predominantly male, at low CV risk by FRS with mild to moderate PSO by skin disease severity (Table 1). VAT volume associated with both TB (beta coefficient= 0.49, p-value <0.001) and NCB (beta coefficient= 0.51, p-value <0.001). This relationship remained significant after adjustment for cardiovascular risk factors for TB (beta coefficient= 0.28, p-value = 0.004) and NCB (beta coefficient = 0.34, p-value <0.001). Conclusions: Directly quantified VAT directly associated with TB and NCB independent of cardiovascular risk factors. These findings suggest that adipose tissue dysfunction may in part contribute to the high CV events observed in psoriasis and support efforts to provide weight control as a strategy to reduce CV disease in psoriasis.


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