Association of Lean Body Mass and Fat Mass With 1-Year Mortality Among Patients With Heart Failure

The role of body composition in left ventricular remodeling, reverse remodeling, and clinical outcomes for heart failure with mildly reduced ejection fraction: more knowledge to the "obesity paradox"

BACKGROUND

Although the "obesity paradox" is comprehensively elucidated in heart failure (HF) with reduced ejection fraction (HFrEF) and HF with preserved ejection fraction (HFpEF), the role of body composition in left ventricular (LV) remodeling, LV reverse remodeling (LVRR), and clinical outcomes is still unclear for HF with mildly reduced ejection fraction (HFmrEF).

METHODS

Our study is a single-centre, prospective, and echocardiography-based study. Consecutive HFmrEF patients, defined as HF patients with a left ventricular ejection fraction (LVEF) between 40 and 49%, between January 2016 to December 2021 were included. Echocardiography was re-examined at 3-, 6-, and 12-month follow-up to assess the LVRR dynamically. Body mass index (BMI), fat mass, fat-free mass, percent body fat (PBF), CUN-BAE index, and lean mass index (LMI) were adopted as anthropometric parameters in our study to assess body composition. The primary outcome was LVRR, defined as: (1) a reduction higher than 10% in LV end-diastolic diameter index (LVEDDI), or a LVEDDI < 33 mm/m2, (2) an absolute increase of LVEF higher than 10 points compared with baseline echocardiogram, or a follow-up LVEF ≥50%. The secondary outcome was a composite of re-hospitalization for HF or cardiovascular death.

RESULTS

A total of 240 HFmrEF patients were enrolled in our formal analysis. After 1-year follow-up based on echocardiography, 113 (47.1%) patients developed LVRR. Patients with LVRR had higher fat mass (21.7 kg vs. 19.3 kg, P = 0.034) and PBF (28.7% vs. 26.6%, P = 0.047) compared with those without. The negative correlation between anthropometric parameters and baseline LVEDDI was significant (all P < 0.05). HFmrEF patients with higher BMI, fat mass, PBF, CUN-BAE index, and LMI had more pronounced and persistent increase of LVEF and decline in LV mass index (LVMI). Univariable Cox regression analysis revealed that higher BMI (HR 1.042, 95% CI 1.002-1.083, P = 0.037) and fat mass (HR 1.019, 95% CI 1.002-1.036, P = 0.026) were each significantly associated with higher cumulative incidence of LVRR for HFmrEF patients, while this relationship vanished in the adjusted model. Mediation analysis indicated that the association between BMI and fat mass with LVRR was fully mediated by baseline LV dilation. Furthermore, higher fat mass (aHR 0.957, 95% CI 0.917-0.999, P = 0.049) and PBF (aHR 0.963, 95% CI 0.924-0.976, P = 0.043) was independently associated with lower risk of adverse clinical events.

CONCLUSIONS

Body composition played an important role in the LVRR and clinical outcomes for HFmrEF. For HFmrEF patients, BMI and fat mass was positively associated with the cumulative incidence of LVRR, while higher fat mass and PBF predicted lower risk of adverse clinical events but not LMI.

Genome-wide DNA methylation analysis of body composition in Chinese monozygotic twins

BACKGROUND

Little is currently known about epigenetic alterations associated with body composition in obesity. Thus, we aimed to explore epigenetic relationships between genome-wide DNA methylation levels and three common traits of body composition as measured by body fat percentage (BF%), fat mass (FM) and lean body mass (LBM) among Chinese monozygotic twins.

METHODS

Generalized estimated equation model was used to regress the methylation level of CpG sites on body composition. Inference about Causation Through Examination Of Familial Confounding was used to explore the evidence of a causal relationship. Gene expression analysis was further performed to validate the results of differentially methylated genes.

RESULTS

We identified 32, 22 and 28 differentially methylated CpG sites (p < 10-5 ) as well as 20, 17 and eight differentially methylated regions (slk-corrected p < 0.05) significantly associated with BF%, FM and LBM which were annotated to 65 genes, showing partially overlapping. Causal inference demonstrated bidirectional causality between DNA methylation and body composition (p < 0.05). Gene expression analysis revealed significant correlations between expression levels of five differentially methylated genes and body composition (p < 0.05).

CONCLUSIONS

These DNA methylation signatures will contribute to increased knowledge about the epigenetic basis of body composition and provide new strategies for early prevention and treatment of obesity and its related diseases.

Depression Predicts Cardiac Cachexia in Heart Failure Patients

BACKGROUND

Cardiac cachexia (CC) is associated with increased morbidity and mortality in persons with heart failure (HF). Compared to the biological underpinning of CC, little is known about the psychological factors. Thus, the overarching objective of this study was to determine whether depression predicts the onset of cachexia at 6 months in patients with chronic HF.

METHODS

114 participants with a mean age of 56.7 ± 13.0 years, LVEF of 33.13 ± 12.30% and NYHA class III (48.0%) were assessed for depression using the PHQ-9. Body weight was measured at baseline and at 6 months. Patients who had ≥6% non-edematous unintentional weight loss were classified as cachectic. Univariate and logistic multivariate regression were used to examine the relationship between CC and depression, controlling for clinical and demographic variables.

RESULTS

Cachectic patients (11.4%) had significantly higher baseline BMI levels (31.35 ± 5.70 vs. 28.31 ± 4.73; p = .038), lower LVEF (mean = 24.50 ± 9.48 vs. 34.22 ± 12.18, p = .009), and depression scores (mean = 7.17 ± 6.44 vs. 4.27 ± 3.98, p = .049) when compared to their non-cachectic counterparts. In multivariate regression analysis, depression scores (β = 1.193, p = .035) and LVEF (β = .835, p = .031) predicted cachexia after controlling for age, gender, body mass index, VO2 max, and New York Heart Association class and accounted for 49% of the variance in Cardiac cachexia. When depression was dichotomized, depression and LVEF predicted 52.6% of the variance in CC.

CONCLUSION

Depression predicts CC in patients with HF. Additional studies are needed to expand the knowledge of the role of the psychological determinants of this devastating syndrome.

The role of predicted lean body mass and fat mass in non-alcoholic fatty liver disease in both sexes: Results from a secondary analysis of the NAGALA study

Objective

High body mass index (BMI) is an important risk factor for non-alcoholic fatty liver disease (NAFLD). However, the association of body composition such as fat mass (FM) and lean body mass (LBM) with NAFLD has not been adequately studied. The purpose of this study was to clarify the contribution of body composition FM and LBM to NAFLD.

Methods

We analyzed data from 7,411 men and 6,840 women in the NAGALA cohort study. LBM and FM were estimated for all subjects using validated anthropometric prediction equations previously developed from the National Health and Nutrition Examination Survey (NHANES). Using multiple logistic regression and restricted cubic spline (RCS) to analyze the association and the dose-response curve of predicted LBM and FM with NAFLD in both sexes.

Results

The prevalence of NAFLD in man and woman subjects was 27.37 and 6.99%, respectively. Predicted FM was positively and linearly associated with NAFLD in both sexes, with each 1 kg increase in predicted FM associated with a 27 and 40% increased risk of NAFLD in men and women, respectively. In contrast, predicted LBM was negatively associated with NAFLD in both sexes, with each 1 kg increase in predicted LBM reducing the risk of NAFLD by 4 and 19% in men and women, respectively. In addition, according to the RCS curve, the risk of NAFLD did not change in men when the predicted LBM was between 47 and 52 kg, and there seemed to be a saturation effect; further, the threshold value of the saturation effect was calculated to be about 52.08 kg by two-piecewise logistic regression, and the protective effect on NAFLD would be significantly enhanced when the man predicted LBM was greater than 52.08 kg.

Conclusion

The current findings suggested that body composition LBM and FM had opposite associations with NAFLD in both sexes, with higher LBM associated with a lower risk of NAFLD and higher FM increasing the risk of NAFLD, especially in women.

Body mass index at baseline directly predicts new-onset diabetes and to a lesser extent incident cardio-cerebrovascular events, but has a J-shaped relationship to all-cause mortality

OBJECTIVE

The prevalence of diabetes mellitus (DM), cardio-cerebrovascular diseases (CCVDs) has increased during recent decades. We aimed to investigate the relationship between body mass index (BMI) and each of several outcomes (DM, CCVDs, or mortality) based on the Korean National Health Insurance Service-Health Screening cohort.

METHODS

BMI was categorized as appropriate for Asian populations, into underweight (< 18.5 kg/m²), normal (18.5-< 23 kg/m²), overweight (23-< 25 kg/m²), grade 1 obesity (25-< 30 kg/m²), grade 2 obesity (30-< 35 kg/m²), and grade 3 obesity (≥35 kg/m²). In addition, BMI was further stratified into one unit. Multivariate Cox proportional hazards regression analyses were conducted to examine the association between BMI category and the primary outcomes (DM, CCVDs, or mortality).

RESULTS

A total of 311,416 individuals were included. The median follow-up was 12.5 years. Compared to normal BMI, underweight, overweight, and grade 1-3 obese individuals had a higher risk of the primary outcomes (hazard ratio [95% confidence intervals] 1.293 [1.224-1.365], 1.101 [1.073-1.129], 1.320 [1.288-1.353], 1.789 [1.689-1.897], and 2.376 [2.019-2.857], respectively, in men and 1.084 [1.010-1.163], 1.150 [1.116-1.185], 1.385 [1.346-1.425], 1.865 [1.725-2.019], and 2.472 [2.025-3.028], respectively, in women). Setting the reference BMI to 20-< 21 kg/m² and categorizing into one unit increment, BMI was associated with the primary outcomes in a J-shaped manner in both sexes. The risk of DM increased with higher BMI in both sexes, while all-cause mortality decreased in men with a BMI 21-< 31 kg/m² and women with BMI 22-< 30 kg/m².

CONCLUSIONS

BMI was associated with all-cause mortality in a J-shaped manner in both sexes, while it was associated with risk of DM in a dose-response relationship. The relationship between BMI and the primary outcomes was J-shaped.