Independent effects of body fat and inflammatory markers on ventricular geometry, midwall function, and atrial remodeling

Preoperative risk factors associated with left ventricular dysfunction after bariatric surgery

A large proportion of patients with severe obesity remain with left ventricular (LV) dysfunction after bariatric surgery. We assessed whether preoperative evaluation by echocardiography and inflammatory proteins can identify this high-risk group. In the Bariatric Surgery on the West Coast of Norway study, 75 patients (44 ± 10 years, body mass index [BMI] 41.5 ± 4.7 kg/m2) were prospectively evaluated by echocardiography and inflammatory proteins (high-sensitivity C-reactive protein [hsCRP], serum amyloid A [SAA] and calprotectin) before and one year after Roux-en-Y gastric bypass surgery. LV mechanics was assessed by the midwall shortening (MWS) and global longitudinal strain (GLS). Bariatric surgery improved BMI and GLS, and lowered hsCRP, calprotectin and SAA (p < 0.05). MWS remained unchanged and 35% of patients had impaired MWS at 1-year follow-up. A preoperative risk index including sex, hypertension, ejection fraction (EF) and high hsCRP (index 1) or SAA (index 2) predicted low 1-year MWS with 81% sensitivity/71% specificity (index 1), and 77% sensitivity/77% specificity (index 2) in ROC analyses (AUC 0.80 and 0.79, p < 0.001). Among individuals with severe obesity, women and patients with hypertension, increased serum levels of inflammatory proteins and reduced EF are at high risk of impaired LV midwall mechanics 1 year after bariatric surgery.ClinicalTrials.gov identifier NCT01533142 February 15, 2012.

Predicting stroke and mortality in mitral stenosis with atrial flutter: A machine learning approach

BACKGROUND

Our study hypothesized that an intelligent gradient boosting machine (GBM) model can predict cerebrovascular events and all-cause mortality in mitral stenosis (MS) with atrial flutter (AFL) by recognizing comorbidities, electrocardiographic and echocardiographic parameters.

METHODS

The machine learning model was used as a statistical analyzer in recognizing the key risk factors and high-risk features with either outcome of cerebrovascular events or mortality.

RESULTS

A total of 2184 patients with their chart data and imaging studies were included and the GBM analysis demonstrated mitral valve area (MVA), right ventricular systolic pressure, pulmonary artery pressure (PAP), left ventricular ejection fraction (LVEF), New York Heart Association (NYHA) class, and surgery as the most significant predictors of transient ischemic attack (TIA/stroke). MVA, PAP, LVEF, creatinine, hemoglobin, and diastolic blood pressure were predictors for all-cause mortality.

CONCLUSION

The GBM model assimilates clinical data from all diagnostic modalities and significantly improves risk prediction performance and identification of key variables for the outcome of MS with AFL.

Predicting Stroke and Mortality in Mitral Regurgitation: A Machine Learning Approach

We hypothesized that an interpretable gradient boosting machine (GBM) model considering comorbidities, P-wave and echocardiographic measurements, can better predict mortality and cerebrovascular events in mitral regurgitation (MR). Patients from a tertiary center were analyzed. The GBM model was used as an interpretable statistical approach to identify the leading indicators of high-risk patients with either outcome of CVAs and all-cause mortality. A total of 706 patients were included. GBM analysis showed that age, systolic blood pressure, diastolic blood pressure, plasma albumin levels, mean P-wave duration (PWD), MR regurgitant volume, left ventricular ejection fraction (LVEF), left atrial dimension at end-systole (LADs), velocity-time integral (VTI) and effective regurgitant orifice were significant predictors of TIA/stroke. Age, sodium, urea and albumin levels, platelet count, mean PWD, LVEF, LADs, left ventricular dimension at end systole (LVDs) and VTI were significant predictors of all-cause mortality. The GBM demonstrates the best predictive performance in terms of precision, sensitivity c-statistic and F1-score compared to logistic regression, decision tree, random forest, support vector machine, and artificial neural networks. Gradient boosting model incorporating clinical data from different investigative modalities significantly improves risk prediction performance and identify key indicators for outcome prediction in MR.

Sex-specific associations of body composition measures with cardiac function and structure after 8 years of follow-up

We investigated the prospective associations of body composition with cardiac structure and function and explored effect modification by sex and whether inflammation was a mediator in these associations. Total body (BF), trunk (TF) and leg fat (LF), and total lean mass (LM) were measured at baseline by a whole body DXA scan. Inflammatory biomarkers and echocardiographic measures were determined both at baseline and follow-up in the Hoorn Study (n = 321). We performed linear regression analyses with body composition measures as determinant and left ventricular ejection fraction (LVEF), left ventricular mass index (LVMI) or left atrial volume index (LAVI) at follow-up as outcome. Additionally, we performed mediation analysis using inflammation at follow-up as mediator. The study population was 67.7 ± 5.2 years and 50% were female. After adjustment, BF, TF and LF, and LM were associated with LVMI with regression coefficients of 2.9 (0.8; 5.1)g/m^2.7, 2.3 (0.6; 4.0)g/m^2.7, 2.0 (0.04; 4.0)g/m^2.7 and − 2.9 (− 5.1; − 0.7)g/m^2.7. Body composition measures were not associated with LVEF or LAVI. These associations were not modified by sex or mediated by inflammation. Body composition could play a role in the pathophysiology of LV hypertrophy. Future research should focus on sex differences in regional adiposity in relation with diastolic dysfunction.

On the association between body fat and left ventricular mass

OBJECTIVES

As intervention studies have shown a reduction in body weight to be paralleled with a reduction in left ventricular mass (LVM), we quantified a hypothesized causal relationship between fat mass and LVM, and how much of these effects that was mediated by blood pressure (BP), diabetes and adipokines. Also visceral and subcutaneous adipose tissue (VAT and SAT) were explored in the same fashion.

METHODS

In the Prospective Study of the Vasculature in Uppsala Seniors study (n = 1016, 50% women, all aged 70 years), LVM was measured by echocardiography (indexed for lean mass, LVMI), fat and lean mass by dual-energy X-ray. VAT and SAT were measured by abdominal MRI (in n = 275).

RESULTS

In a structural equation model adjusting for sex, the total effect of fat mass on LVMI was large (standardized coefficient 0.280, P = 3.2 × 10, 95% confidence interval 0.210-0.349). Out of the total effect of fat mass on LVMI, 29.0% was mediated by BP and glucose (P = 2.4 × 10). The BP pathway was most important, mediating 24.4% of the total effect of fat mass on LVMI (P = 4.6 × 10), while the glucose pathway accounted for 4.6% (P = 0.033). The association of VAT with LVMI (0.202, P = 2.4 × 10) was slightly weaker than that of SAT with LVMI (0.283, P = 1.0 × 10). Of several measured adipokines, leptin was a significant mediator of the effect of fat mass on LVMI (P = 3.0 × 10).

CONCLUSION

One-third of the hypothesized association between body fat and LVMI was mediated by BP and glucose in this population-based cohort. Leptin was also an important mediator. Visceral adipose tissue was not more closely related to LVMI than subcutaneous abdominal fat.

Equation-derived body fat percentage indicates metabolic abnormalities among normal-weight adults in a rural Chinese population

OBJECTIVES

Obesity classification using body mass index (BMI) may miss subjects with elevated body fat percentage (BF%) and related metabolic risk factors. We aimed to evaluate whether BF% calculated by equations could provide more information about metabolic risks, in addition to BMI classification, in a cross-sectional rural Chinese population.

METHODS

A total of 2,990 men and women aged 18-80 years were included in this study. BF% was calculated using previously validated Chinese-specific equations. Metabolic syndrome was defined according to the updated National Cholesterol Education Program Panel III criteria for Asian Americans.

RESULTS

In total, 33.6% men and 32.9% women were overweight/obese according to BMI classification. Among those within the normal BMI range, 25.4% men and 54.7% women were indicated as overweight or obese given their elevated BF% (men: BF% ≥ 20%; women: BF% ≥ 30%). In both men and women, compared with those with normal BMI and BF% (NBB), subjects with normal BMI but elevated BF% (NBOB) were more likely to carry abnormal serum lipid profile and to have higher risks of metabolic syndrome. The multivariable adjusted odds ratios (95% confidence intervals) for metabolic syndrome were 5.45 (2.37-9.53, P < 0.001) and 5.65 (3.36-9.52, P < 0.001) for men and women, respectively. Moreover, the women with NBOB also showed higher blood pressure and serum uric acid than women with NBB.

CONCLUSIONS

Our study suggested that high BF% based on equations may indicate adverse metabolic profiles among rural Chinese adults with a normal BMI.

Changes in Body Weight and Composition Are Associated With Changes in Left Ventricular Geometry and Function in the General Population

Background—

The different effects of total body weight (TBW), fat-free mass (FFM), and fat mass (FM) on left ventricular (LV) geometry and function are complex. We investigated the associations of changes over time in TBW, FM, and FFM with changes in LV geometry and function.

Methods and Results—

We analyzed data from 1189 subjects (694 women), aged 44 to 86 years, from the baseline and the 5-year follow-up examination of the population-based SHIP (Study of Health in Pomerania). TBW was measured, and FFM and FM were calculated based on height-weight models derived from bioelectrical impedance studies. Echocardiographic measurements of LV geometry and function were performed according to the guidelines of the American Society of Echocardiography. Changes in body composition measures were associated with changes in LV geometry and function by multivariable-adjusted linear regression models. A 1-kg increase/decrease in TBW or FM was associated, respectively, with an increase/decrease of 0.89 g or 1.84 g in LV mass, whereas there was no such association on changes in FFM. Moreover, an increase in FM was associated with LV concentric remodeling and impairment of systolic and diastolic function parameters, whereas an increase in FFM was associated with LV eccentric remodeling and improved systolic and diastolic functional variables.

Conclusions—

Our findings indicate that changes in LV morphology and function depend on the type of body mass composition. Prospective data need to address whether specific changes in body composition over time may affect the risk for heart dysfunction more precisely than the change in TBW.

Pregnancy-driven cardiovascular maternal miR-29 plasticity in obesity

BACKGROUND

Obesity in pregnancy (MO) is a risk factor for maternal and/or fetal cardiovascular system disorders. This study evaluated maternal CVS expression of microRNA-29 family and its target molecules in MO to test the hypotheses: CVS miR-29 concentrations are increased in pregnancy and decreased in MO.

METHODS

Non-pregnant (n=4), pregnant obese (POb, n=4), and pregnant non-obese (PnOb, n=4) baboons (Papio spp.) were studied. Maternal left ventricle (LV), left atrium (LA), and aortic arch (AA) were collected at the end of gestation. Expression of MiR-29 and elastin (ELN) mRNA were quantified.

RESULTS

LA miR-29 (a, c) expression was highest in PnOb. In the LV, miR-29b expression trended lower (P=.059) for PnOb animals. ELN mRNA expression correlated positively with miR-29b expression in AA (r=.76, P=.03).

CONCLUSION

Maternal obesity diminishes miR-29 adaptation to pregnancy. Pharmacologic, tissue-specific targeting of miRNA-29 may represent a strategy for prevention and treatment of MO complications.

Preventive and chronic mineralocorticoid receptor antagonism is highly beneficial in obese SHHF rats

BACKGROUND AND PURPOSE

Mineralocorticoid receptor (MR) activation contributes to heart failure (HF) progression. Its overactivity in obesity is thought to accelerate cardiac remodelling and HF development. Given that MR antagonists (MRA) are beneficial in chronic HF patients, we hypothesized that early MRA treatment may target obesity-related disorders and consequently delay the development of HF.

EXPERIMENTAL APPROACH

Twenty spontaneously hypertensive HF dyslipidaemic obese SHHF(cp/cp) rats and 18 non-dyslipidaemic lean SHHF(+/+) controls underwent regular monitoring for their metabolic and cardiovascular phenotypes with or without MRA treatment [eplerenone (eple), 100 mg∙kg(-1) ∙day(-1) ] from 1.5 to 12.5 months of age.

KEY RESULTS

Eleven months of eple treatment in obese rats (SHHF(cp/cp) eple) reduced the obesity-related metabolic disorders observed in untreated SHHF(cp/cp) rats by reducing weight gain, triglycerides and total cholesterol levels and by preserving adiponectinaemia. The MRA treatment predominantly preserved diastolic and systolic functions in obese rats by alleviating the eccentric cardiac hypertrophy observed in untreated SHHF(cp/cp) animals and preserving ejection fraction (70 ± 1 vs. 59 ± 1%). The MRA also improved survival independently of these pressure effects.

CONCLUSION AND IMPLICATIONS

Early chronic eple treatment resulted in a delay in cardiac remodelling and HF onset in both SHHF(+/+) and SHHF(cp/cp) rats, whereas SHHF(cp/cp) rats further benefited from the MRA treatment through a reduction in their obesity and dyslipidaemia. These findings suggest that preventive MRA therapy may provide greater benefits in obese patients with additional risk factors of developing cardiovascular complications.

Obesity and Diabetes Mellitus Adversely Affect Outcomes after Cardiac Surgery in Children's Hospitals

OBJECTIVE

To assess how obesity or diabetes mellitus impacts outcomes in patients undergoing cardiac surgery in pediatric hospitals.

DESIGN

A multi-institutional, matched case-control study of the Pediatric Health Information System database was performed.

SETTING

Tertiary children's hospitals in the United States.

PATIENTS

All cardiac surgical cases in patients with obesity or diabetes mellitus between 2004 and 2012 were included. Cases were matched to controls by age, sex, race, and Risk Adjustment for Congenital Heart Surgery score.

OUTCOME MEASURES

Mortality, surgical complications, and hospital utilization. Differences in outcome measures were assessed by chi-square and Mann-Whitney tests. P value < .05 was significant.

RESULTS

Six hundred twenty-nine cardiac surgical cases (median age 17 years [IQR 12-32]) with obesity or diabetes mellitus were matched to 629 controls. Cases demonstrated lower median household income than those in the control group ($38,031 [IQR $31,900-$48,844] vs. ($41,896 [IQR $32,854-$56,020], P < .001). Mortality was similar between cases and controls (22% vs. 1.9%, P =.692). Surgical complications occurred similarly between cases and controls (13.5% vs. 12.4%, P = .535). Cases had longer intensive care unit length of stay than controls (3 vs. 2 days, P = .001), resulting in longer overall hospital length of stay (5 vs. 4 days, P < .001). Cases also had a higher odds of undergoing mechanical ventilation for >96 hours (OR 2.0, 95% CI 1.1-3.7) and higher rate of total parenteral nutrition use (7.2% vs. 4.5%, P = .040). Median hospital charges were higher in cases (clinical: $6,696 vs. $5,872; laboratory: $14,168 vs. $12,251; pharmacy: $12,971 vs. $10,426; imaging: $6,259 vs. $5,660; P ≤ .030 for all).

CONCLUSIONS

The presence of obesity or diabetes mellitus was associated with increased postoperative morbidity, hospital utilization, and cost in patients undergoing cardiac surgery in pediatric hospitals.

Lung function and left ventricular hypertrophy in morbidly obese candidates for bariatric surgery

OBJECTIVE

To look for correlations between lung function and cardiac dimension variables in morbidly obese patients, in order to test the hypothesis that the relative size of the small airways is independently correlated with left ventricular hypertrophy.

METHODS

This was a retrospective study involving 192 medical records containing a clinical protocol employed in candidates for bariatric surgery between January of 2006 and December of 2010.

RESULTS

Of the 192 patients evaluated, 39 (10 males and 29 females) met the inclusion criteria. The mean BMI of the patients was 49.2 ± 7.6 kg/m2, and the mean age was 35.5 ± 7.7 years. The FEF25-75/FVC, % correlated significantly with left ventricular posterior wall thickness and relative left ventricular posterior wall thickness, those correlations remaining statistically significant (r = -0.355 and r = -0.349, respectively) after adjustment for weight, gender, and history of systemic arterial hypertension. Stepwise multivariate linear regression analysis showed that FVC and FEV1 were the major determinants of left ventricular mass (in grams or indexed to body surface area).

CONCLUSIONS

A reduction in the relative size of the small airways appears to be independently correlated with obesity-related cardiac hypertrophy, regardless of factors affecting respiratory mechanics (BMI and weight), gender, or history of systemic arterial hypertension. However, FEV1 and FVC might be important predictors of left ventricular mass in morbidly obese individuals.