scholarly journals Relative fat mass, a new index of adiposity, is strongly associated with incident heart failure: data from PREVEND

2022 ◽  
Vol 12 (1) ◽  
Author(s):  
Navin Suthahar ◽  
Laura M. G. Meems ◽  
Coenraad Withaar ◽  
Thomas M. Gorter ◽  
Lyanne M. Kieneker ◽  
...  

AbstractBody-mass index (BMI), waist circumference, and waist-hip ratio are commonly used anthropometric indices of adiposity. However, over the past 10 years, several new anthropometric indices were developed, that more accurately correlated with body fat distribution and total fat mass. They include relative fat mass (RFM), body-roundness index (BRI), weight-adjusted-waist index and body-shape index (BSI). In the current study, we included 8295 adults from the PREVEND (Prevention of Renal and Vascular End-Stage Disease) observational cohort (the Netherlands), and sought to examine associations of novel as well as established adiposity indices with incident heart failure (HF). The mean age of study population was 50 ± 13 years, and approximately 50% (n = 4134) were women. Over a 11 year period, 363 HF events occurred, resulting in an overall incidence rate of 3.88 per 1000 person-years. We found that all indices of adiposity (except BSI) were significantly associated with incident HF in the total population (P < 0.001); these associations were not modified by sex (P interaction > 0.1). Amongst adiposity indices, the strongest association was observed with RFM [hazard ratio (HR) 1.67 per 1 SD increase; 95% confidence interval (CI) 1.37–2.04]. This trend persisted across multiple age groups and BMI categories, and across HF subtypes [HR: 1.76, 95% CI 1.26–2.45 for HF with preserved ejection fraction; HR 1.61, 95% CI 1.25–2.06 for HF with reduced ejection fraction]. We also found that all adiposity indices (except BSI) improved the fit of a clinical HF model; improvements were, however, most evident after adding RFM and BRI (reduction in Akaike information criteria: 24.4 and 26.5 respectively). In conclusion, we report that amongst multiple anthropometric indicators of adiposity, RFM displayed the strongest association with HF risk in Dutch community dwellers. Future studies should examine the value of including RFM in HF risk prediction models.

2021 ◽  
Author(s):  
Navin Suthahar ◽  
Laura Meems ◽  
Coenraad Withaar ◽  
Thomas Gorter ◽  
Lyanne Kieneker ◽  
...  

Abstract Objective: To examine associations of newly-developed adiposity indices with incident heart failure (HF).Participants and Methods: The current study included 8493 adults from the PREVEND observational cohort (mean age: 49.8 years; 50% women). Exposures included novel adiposity indices i.e., relative fat mass (RFM), body-roundness index (BRI), weight-adjusted-waist index and body-shape index (BSI), as well as established adiposity indices i.e., body-mass index (BMI), waist circumference, and waist-hip ratio (WHR). Main outcome was development of incident HF.Results: The prevalence of overweight (BMI: 25-30kg/m2) and obesity (BMI≥30kg/m2) were 41% and 17% respectively. During 11.3±3.1 years of follow-up, 372 HF events were recorded, resulting in an overall HF incidence of 3.88 per 1000 person-years. All novel adiposity indices, except BSI, were significantly associated with incident HF (P<0.001). BMI, WC and WHR were also significantly associated with incident HF (P<0.001). Sex did not modify the association of any adiposity index with incident HF (Pint>0.1). Amongst adiposity indices, RFM displayed the strongest effect sizes (HR:1.67, 95%CI, 1.37-2.03). This trend persisted across multiple age categories, BMI categories and also among HF subtypes. All obesity measures, except BSI, improved the fit of the clinical HF model. Strongest improvement was observed after adding BRI and RFM (reduction in Akaike information criteria: 26.5 and 24.4 respectively).Conclusions: Relative fat mass is strongly associated with incident HF in the community. Future studies should examine the value of novel adiposity indices in HF risk estimation.


2019 ◽  
Vol 6 (2) ◽  
pp. 439
Author(s):  
Bansari S. Mistry ◽  
Krupa Pathak ◽  
Smita K. Trivedi

Background: The overall prevalence of heart failure (HF) is thought to be increasing, in part because current therapies for cardiac disorders such as myocardial infarction (MI), valvular heart disease and arrhythmias, are allowing patients to survive longer. Aims of the study were to know the presentation, causes, outcome of HF patients and to know the proportion of patients with heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF).Methods: This was a cross-sectional observational study of heart failure patients for duration of one year, admitted in medicine department of medical college and SSG hospital, Vadodara, Gujarat, India.Results: Males constituted more than half of patients; however, HFpEF was more common in females in all age groups. Majority of patients had HFrEF. Breathlessness was the common presenting symptom. Common aetiologies found were ischaemic heart disease (IHD), hypertension (HTN), diabetes mellitus (DM) and valvular heart disease. 50-64 year patients constituted the major age group. IHD and DM were more common in this age group. Rheumatic heart disease (RHD) was seen commonly in 20-34 year of age group. In-hospital mortality rate though low has not much changed and contributes significantly considering the prevalence.Conclusions: Like developing countries, IHD contributes a major portion of patients with HF with risk factors like DM and HTN. Though, the contribution from RHD still cannot be ignored. There is little decrease in mortality but considering prevalence the burden is still high.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
J Silverdal ◽  
E Bollano ◽  
H Sjoland ◽  
A Pivodic ◽  
U Dahlstrom ◽  
...  

Abstract Background In heart failure with left ventricular ejection fraction reduction <40% (HFrEF) the increased mortality in patients with underlying ischaemic heart disease (IHD) compared to multi-aetiological non-ischaemic HFrEF is established. The prognostic difference over time in comparison with dilated cardiomyopathy (DCM) is less clear. Purpose To evaluate the difference in mortality between IHD and DCM in HFrEF, overall, in specific subgroups and over time. Methods By applying multivariable Cox regression analyses on Swedish Heart Failure Registry data from the years 2000 to 2012 (including 51,060 patients), the incidence of mortality in 8,982 patients with non-valvular clinical IHD-HFrEF was compared to 2,220 patients with DCM-HFrEF overall and for subgrouping variables of age category, sex and EF group (<30% and 30–39%), adjusted for additional 23 baseline variables. Results The overall mortality was higher in IHD-HFrEF with the crude mortality of 42.1% and the event rate 15.4 (95% confidence interval [CI]: 14.9 - 15.9) per 100 person years compared with 19.4% and 5.5 (95% CI: 5.0–6.1) in DCM-HFrEF. The probability of survival in IHD-HFrEF was lower than in DCM-HFrEF (Figure). After multivariable adjustment the risk for mortality in IHD-HFrEF remained increased with a hazard ratio (HR) of 1.34 (95% CI: 1.18–1.50). The adjusted HR was higher in all groups of age <80 years and in both sexes, with a significantly higher risk in women than in men (HR 1.85 vs 1.22, p for interaction = 0.002). Overall, HR was increased regardless of EF group but analyses by both age group and EF group revealed significantly increased mortality in EF <30% only for age groups <80 years. No significant temporal trend was seen between IHD-HFrEF and DCM-HFrEF. Probability of survival Conclusions In patients with heart failure and reduced ejection fraction, ischaemic heart disease compared to dilated cardiomyopathy was associated with increased mortality in all age groups below 80 years of age, throughout the 13-year study period. Acknowledgement/Funding The Swedish Heart-Lung Foundation. The regional ALF agreement between Västra Götalandsregionen and University of Gothenburg (ALFGBG-72196, prof.Fu)


2021 ◽  
Author(s):  
Liam Gaziano ◽  
Kelly Cho ◽  
Luc Djousse ◽  
Petra Schubert ◽  
Ashley Galloway ◽  
...  

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