4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Association of obesity with heart failure outcomes in 11 Asian regions: A cohort study

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Asians are predisposed to a lean heart failure (HF) phenotype. Data on the ‘obesity paradox’, reported in Western populations, are scarce in Asia and have only utilised the traditional classification of body mass index (BMI). We aimed to investigate the association between obesity (defined by BMI and abdominal measures) and HF outcomes in Asia.

          Methods and findings

          Utilising the Asian Sudden Cardiac Death in Heart Failure (ASIAN-HF) registry (11 Asian regions including Taiwan, Hong Kong, China, India, Malaysia, Thailand, Singapore, Indonesia, Philippines, Japan, and Korea; 46 centres with enrolment between 1 October 2012 and 6 October 2016), we prospectively examined 5,964 patients with symptomatic HF (mean age 61.3 ± 13.3 years, 26% women, mean BMI 25.3 ± 5.3 kg/m 2, 16% with HF with preserved ejection fraction [HFpEF; ejection fraction ≥ 50%]), among whom 2,051 also had waist-to-height ratio (WHtR) measurements (mean age 60.8 ± 12.9 years, 24% women, mean BMI 25.0 ± 5.2 kg/m 2, 7% HFpEF). Patients were categorised by BMI quartiles or WHtR quartiles or 4 combined groups of BMI (low, <24.5 kg/m 2 [lean], or high, ≥24.5 kg/m 2 [obese]) and WHtR (low, <0.55 [thin], or high, ≥0.55 [fat]). Cox proportional hazards models were used to examine a 1-year composite outcome (HF hospitalisation or mortality). Across BMI quartiles, higher BMI was associated with lower risk of the composite outcome ( p trend < 0.001). Contrastingly, higher WHtR was associated with higher risk of the composite outcome. Individuals in the lean-fat group, with low BMI and high WHtR (13.9%), were more likely to be women (35.4%) and to be from low-income countries (47.7%) (predominantly in South/Southeast Asia), and had higher prevalence of diabetes (46%), worse quality of life scores (63.3 ± 24.2), and a higher rate of the composite outcome (51/232; 22%), compared to the other groups ( p < 0.05 for all). Following multivariable adjustment, the lean-fat group had higher adjusted risk of the composite outcome (hazard ratio 1.93, 95% CI 1.17–3.18, p = 0.01), compared to the obese-thin group, with high BMI and low WHtR. Results were consistent across both HF subtypes (HFpEF and HF with reduced ejection fraction [HFrEF]; p interaction = 0.355). Selection bias and residual confounding are potential limitations of such multinational observational registries.

          Conclusions

          In this cohort of Asian patients with HF, the ‘obesity paradox’ is observed only when defined using BMI, with WHtR showing the opposite association with the composite outcome. Lean-fat patients, with high WHtR and low BMI, have the worst outcomes. A direct correlation between high WHtR and the composite outcome is apparent in both HFpEF and HFrEF.

          Trial registration

          Asian Sudden Cardiac Death in HF (ASIAN-HF) Registry ClinicalTrials.gov Identifier: NCT01633398

          Abstract

          Carolyn Lam and colleagues investigate the association of body mass index and waist-to-height ratios with heart failure outcomes in cohorts from 11 Asian regions.

          Author summary

          Why was this study done?
          • Asian heart failure (HF) patients are more likely to have a lean HF phenotype compared to Western patients.

          • The obesity paradox, where higher body mass index (BMI) is associated with better HF outcomes, is well-reported in Western populations, but little is known about this paradox in Asia.

          • We investigated the association between obesity, defined by traditional BMI versus waist circumference indices, and HF outcomes in Asia.

          What did the researchers do and find?
          • Among Asian patients with HF, BMI and waist-to-height ratio (WHtR) have directionally opposite relationships with a composite outcome of all-cause death and hospitalisation for HF—lower BMI, but higher WHtR, is associated with worse outcomes.

          • In combined analysis, patients who were lean-fat (with low BMI but high WHtR) were more likely to be women, to be from low-income countries or South/Southeast Asia, to have diabetes, and to have worse quality of life scores.

          • Lean-fat patients also had the highest rate and risk of the composite outcome (HF hospitalisation and all-cause mortality), irrespective of heart failure subtype (with preserved versus reduced ejection fraction).

          What do these findings mean?
          • The obesity paradox exists in Asia only when obesity is classified by BMI.

          • The relationship between obesity and HF outcomes in Asia is directionally opposite for BMI versus WHtR.

          • In this cohort of Asian patients with HF, lean (low BMI) patients with central obesity (high WHtR) had the worst outcomes, both in cases where ejection fraction was reduced and in cases where it was preserved.

          Related collections

          Most cited references23

          • Record: found
          • Abstract: found
          • Article: not found

          Cardiovascular and Metabolic Heterogeneity of Obesity

          The prevalence of obesity has increased globally over the last 2 decades. Although the body mass index has been a convenient and simple index of obesity at the population level, studies have shown that obesity defined by body mass index alone is a remarkably heterogeneous condition with varying cardiovascular and metabolic manifestations across individuals. Adipose tissue is an exquisitely active metabolic organ engaged in cross-talk between various systems; perturbation of adipose tissue results in a pathological response to positive caloric balance in susceptible individuals that directly and indirectly contributes to cardiovascular and metabolic disease. Inadequate subcutaneous adipose tissue expansion in the face of dietary triglycerides leads to visceral and ectopic fat deposition, inflammatory/adipokine dysregulation, and insulin resistance. Conversely, preferential fat storage in the lower body depot may act as a metabolic buffer and protect other tissues from lipotoxicity caused by lipid overflow and ectopic fat. Translational, epidemiological, and clinical studies over the past 30 years have clearly demonstrated a strong link between visceral and ectopic fat and the development of a clinical syndrome characterized by atherogenic dyslipidemia, hyperinsulinemia/glucose intolerance, hypertension, atherosclerosis, and adverse cardiac remodeling/heart failure. This relationship is even more nuanced when clinical entities such as metabolically healthy obesity phenotype and the obesity paradox are considered. Although it is clear that the accumulation of visceral/ectopic fat is a major contributor to cardiovascular and metabolic risk above and beyond the body mass index, implementation of fat distribution assessment into clinical practice remains a challenge. Anthropometric indexes of obesity are easily implemented, but newer imaging-based methods offer improved sensitivity and specificity for measuring specific depots. Lifestyle, pharmacological, and surgical interventions allow a multidisciplinary approach to overweight/obesity that may improve outcomes and align with a public health message to combat the growing epidemic of obesity worldwide and to build healthier lives free of cardiovascular diseases.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            IL-1 family members in the pathogenesis and treatment of metabolic disease: Focus on adipose tissue inflammation and insulin resistance.

            Obesity is characterized by a chronic, low-grade inflammation that contributes to the development of insulin resistance and type 2 diabetes. Cytokines and chemokines produced by immunocompetent cells influence local as well as systemic inflammation and are therefore critical contributors to the pathogenesis of type 2 diabetes. Hence, cytokines that modulate inflammatory responses are emerging as potential targets for intervention and treatment of the metabolic consequences of obesity. The interleukin-1 (IL-1) family of cytokines and receptors are key mediators of innate inflammatory responses and exhibit both pro- and anti-inflammatory functions. During the last decades, mechanistic insights into how the IL-1 family affects the initiation and progression of obesity-induced insulin resistance have increased significantly. Here, we review the current knowledge and understanding, with emphasis on the therapeutic potential of individual members of the IL-1 family of cytokines for improving insulin sensitivity in patients with diabetes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Body mass index and prognosis in patients with chronic heart failure: insights from the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) program.

              In individuals without known cardiovascular disease, elevated body mass index (BMI) (weight/height2) is associated with an increased risk of death. However, in patients with certain specific chronic diseases, including heart failure, low BMI has been associated with increased mortality. We examined the influence of BMI on prognosis using Cox proportional hazards models in 7599 patients (mean age, 65 years; 35% women) with symptomatic heart failure (New York Heart Association class II to IV) and a broad spectrum of left ventricular ejection fractions (mean, 39%) in the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) program. During a median follow-up of 37.7 months, 1831 patients died. After adjustment for potential confounders, compared with patients with BMI between 30 and 34.9, patients in lower BMI categories had a graded increase in the risk of death. The hazard ratios (95% confidence intervals) were 1.22 (1.06 to 1.41), 1.46 (1.24 to 1.71), and 1.69 (1.43 to 2.01) among those with BMI of 25 to 29.9, 22.5 to 24.9, and or = 35 was not statistically significant (hazard ratio, 1.17; 95% confidence interval, 0.95 to 1.43). The association between BMI and mortality was not altered by age, smoking status, or left ventricular ejection fraction (P for interaction >0.20). However, lower BMI was associated with a greater risk of all-cause death in patients without edema but not in patients with edema (P for interaction <0.0001). Lower BMI was associated with a greater risk of cardiovascular death and noncardiovascular death. Baseline BMI did not influence the risk of hospitalization for worsening heart failure or due to all causes. In patients with symptomatic heart failure and either reduced or preserved left ventricular systolic function, underweight or low BMI was associated with increased mortality, primarily in patients without evidence of fluid overload (edema).
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: MethodologyRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: VisualizationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                24 September 2019
                September 2019
                : 16
                : 9
                : e1002916
                Affiliations
                [1 ] National Heart Centre Singapore, Singapore, Singapore
                [2 ] University Medical Center Groningen, Groningen, Netherlands
                [3 ] Changi General Hospital, Singapore, Singapore
                [4 ] MacKay Memorial Hospital, Taipei, Taiwan
                [5 ] CIMS Hospital, Ahmedabad, Gujarat, India
                [6 ] Dayanand Medical College and Hospital, Ludhiana, Punjab, India
                [7 ] Sir Gangaram Hospital, New Delhi, India
                [8 ] Cardiovascular Research Institute, Singapore, Singapore
                [9 ] Veterans Affairs Medical Center, Minneapolis, Minnesota, United States of America
                [10 ] Duke-NUS Medical School, Singapore, Singapore
                University of Oxford, UNITED KINGDOM
                Author notes

                I have read the journal's policy and the authors of this manuscript have the following competing interests: CSPL served as a guest editor on PLOS Medicine's Cardiovascular Disease Special Issue. Unrelated to present work, CSPL is supported by a Clinician Scientist Award from the National Medical Research Council Singapore, non-financial support from Boston Scientific, non-financial support from Bayer, non-financial support from Thermofisher, non-financial support from Vifor Pharma, other from Bayer, other from Novartis, other from Takeda, other from Merck, other from Astra Zeneca, other from Janssen Research & Development, other from LLC, other from Menarini, other from Boehringer Ingelheim, other from Abbott Diagnostics, from DC Devices, outside the submitted work; In addition, CSPL has a patent PCT/SG2016/050217 pending. AMR is supported by a Singapore Translational Research (STaR) award from the National Medical Research Council Singapore, is a named investigator on projects supported by grants from Boston Scientific, Bayer, Astra Zeneca, Roche Diagnostics and has received research support in kind Thermo Fisher, Roche Diagnostics and Abbott Laboratories and other from Novartis. All other authors report no conflict of interest, financial or otherwise.

                ¶ Membership of ASIAN-HF Investigators is provided in S1 Text.

                Author information
                http://orcid.org/0000-0001-8256-902X
                http://orcid.org/0000-0003-2397-5946
                http://orcid.org/0000-0002-5227-8536
                http://orcid.org/0000-0003-3501-3592
                http://orcid.org/0000-0002-2858-3493
                http://orcid.org/0000-0003-1563-9774
                http://orcid.org/0000-0002-4596-4247
                http://orcid.org/0000-0001-6063-8530
                http://orcid.org/0000-0003-1903-0018
                Article
                PMEDICINE-D-19-00469
                10.1371/journal.pmed.1002916
                6759142
                31550265
                825804ca-09d6-48fb-8a5a-0632e0f9beb5

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 8 February 2019
                : 23 August 2019
                Page count
                Figures: 4, Tables: 3, Pages: 17
                Funding
                Funded by: Boston Scientific Investigator Sponsored Research Program
                Award Recipient :
                Funded by: National Medical Research Council Singapore
                Award ID: NMRC/CSA/0052/2013
                Award Recipient :
                Funded by: A*STAR Biomedical Research Council ATTRaCT program
                Award ID: SPF2014/003
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100007659, Bayer Corporation;
                Award Recipient :
                ASIAN HF Study was supported by research grants from Boston Scientific Investigator Sponsored Research Program, National Medical Research Council of Singapore [NMRC/CSA/0052/2013], A*STAR Biomedical Research Council ATTRaCT program [SPF2014/003] and Bayer. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Body Mass Index
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Medicine and Health Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Obesity
                Medicine and Health Sciences
                Cardiology
                Heart Failure
                People and Places
                Geographical Locations
                Asia
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Biology and Life Sciences
                Biochemistry
                Lipids
                Fats
                Medicine and Health Sciences
                Cardiology
                Ejection Fraction
                Biology and Life Sciences
                Anatomy
                Biological Tissue
                Adipose Tissue
                Medicine and Health Sciences
                Anatomy
                Biological Tissue
                Adipose Tissue
                Custom metadata
                Data contact for ASIAN-HF study: Wee Qi Qi (NHCS) wee.qi.qi@ 123456nhcs.com.sg For site-specific data, site investigators can be individually contacted using details provided in the author block ( S1 Text).

                Medicine
                Medicine

                Comments

                Comment on this article