2025 ACC科学声明:成人心力衰竭患者肥胖的管理

其他 心血管内科· 心力衰竭 · 2025

ABSTRACT

Obesity confers increased risks of HF, coronary artery disease, and stroke, and weight loss can reduce cardiovascular disease risk. Given emerging evidence of the bene fi ts of semaglutide and tirzepatide in individuals with HFpEF and obesity in concert with healthy behavioral interventions, clinicians should be aware of optimal diagnosis, risk assessment, and management of obesity in individuals with HF. Despite the early promise of anti-obesity medications in HFpEF, challenges remain, including whether BMI is the optimal metric to identify obesity and subsequent bene fi t from anti-obesity medications; the safety pro fi le of anti-obesity medications for individuals with HF, particularly HFrEF; and whether the bene fi ts of anti-obesity medications are attributed mainly to the magnitude of weight loss or due to other mechanisms of action. Motivated by this emerging evidence and ongoing challenges, this scienti fi c statement: 1) reviews the diagnosis, evaluation, and risk assessment of obesity in HF; 2) describes HF-speci fi c management strategies from lifestyle intervention to medications to surgery; and 3) addresses evidence gaps and future directions in obesity-related HF. With accurate evaluation of obesity as well as administration and monitoring of safe and effective interventions, clinicians may improve quality of life and functional capacity and potentially reduce HF events in individuals living with HF and obesity.

INTRODUCTION

The American College of Cardiology (ACC) has a long history of developing documents to complement clinical practice guidelines. Scienti fi c statements represent a novel approach to inform clinicians about areas where evidence is new and evolving or where suf fi cient data are more limited.

The writing committee convened in early 2025 via a con fi - dential conference call attended only by writing committee members and ACC staff. A review of outstanding questions was facilitated. Writing assignments were con fi gured according to areas of expertise. Email correspondence was used to edit contributed content. Differences were resolved by consensus among the group. The work of the writing com

This document was approved by the American College of Cardiology Clinical Policy Approval Committee in April 2025. The American College of Cardiology requests that this document be cited as follows: Kittleson MM, Benjamin EJ, Blumer V, Harrington J, Januzzi JL, McMurray JJV, Vest AR. 2025 ACC scienti fi c statement on the management of obesity in adults with heart failure: a report of the American College of Cardiology. J Am Coll Cardiol. Published online June 13, 2025. https://doi.org/10.1016/j.jacc.2025.05.008 . Copies: This document is available on the website of the American College of Cardiology ( www.acc.org ). For copies of this document, please contact Elsevier Inc. Reprint Department via fax (212) 633-3820 or e-mail ( reprints@elsevier.com ). Permissions: Multiple copies, modi fi cation, alteration, enhancement, and/or distribution of this document are not permitted without the express permission of the American College of Cardiology. Requests may be completed online via the Elsevier site ( https://www.elsevier.com/about/policies/ copyright/permissions ).

mittee was supported only by the ACC without any commercial support. Writing committee members were all unpaid volunteers. In accordance with ACC ’ s Relationships With Industry and Other Entities policy, relevant disclosures for the writing committee can be found in Appendix 1 .

Obesity is a chronic disease de fi ned by the presence of abnormal or excessive adipose accumulation that negatively affects health outcomes including increased risk of heart failure (HF), coronary artery disease, and stroke. 1 , 2 For individuals with HF with preserved ejection fraction (HFpEF), intentional weight loss to treat obesity is associated with improved health status and lower event rates in clinical trials 3-5 ; for individuals with HF with reduced ejection fraction (HFrEF), small lifestyle trials and observational bariatric surgery data suggest bene fi ts, but de fi nitive trials are lacking. 6-8

Historically, a lack of safe and effective weight-loss interventions have been available. Although sodiumglucose cotransporter-2 inhibitors show bene fi ts in the treatment of HF, their effect on weight loss is modest. 9 However, novel anti-obesity medications (AOM) offer signi fi cant advances. AOM include agents with effects on glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP; formerly known as gastric inhibitory polypeptide). 10 Semaglutide, a GLP-1 receptor agonist, and tirzepatide, a dual GLP-1 and GIP receptor agonist, demonstrate improved cardiovascular outcomes in individuals with type 2 diabetes mellitus (T2DM) without 11 and with 12-14 high cardiovascular risk or established disease as well as a reduction in incident HF events. 15 Furthermore, the bene fi t of these therapies extends to those without T2DM but with cardiovascular disease 16 and HFpEF. 4 , 5

Despite the early promise of AOM in HFpEF, challenges remain, including whether body mass index (BMI) is the optimal metric to identify obesity and subsequent bene fi t from AOM; the safety pro fi le of AOM for individuals with HF, particularly HFrEF; and whether the bene fi ts of AOM are attributed mainly to the magnitude of weight loss or due to other mechanisms of action.

Motivated by this emerging evidence and ongoing challenges, this scienti fi c statement will (1) review the diagnosis, evaluation, and risk assessment of obesity in HF; (2) describe HF-speci fi c management strategies from lifestyle intervention to medications to surgery; and (3) address evidence gaps and future directions in obesityrelated HF. The speci fi c focus of this scienti fi c statement will be Stage C HFpEF, as reported and ongoing trials target this population ( Table 1 ).

TABLE 1

Table of Consensus Recommendations

|Epidemiology of obesity in HF| |---| |Avoidance of excess adiposity throughout the lifespan is key to the prevention of| | The "HF obesity survival paradox" in part represents the negative implications of unintentional weight loss. | | Obesity treatments offer opportunities for improved HF symptom burden, functional capacity, quality of life, and hospitalizations. | |Diagnosis of obesity| || | that is strongly embedded in research and clinical practice, significant limitations exist in the detection of excess adiposity, the location of adiposity, and applicability to diverse populations. | |To determine a diagnosis of clinical obesity in individuals with BMI |

Heart failure (HF) : de fi ned as per the Universal De fi nition of Heart Failure: 17 symptoms and/or signs of HF caused by structural/functional cardiac abnormalities and at least 1 of: 1) elevated natriuretic peptides; or 2) objective evidence of cardiogenic pulmonary or systemic congestion.

Heart failure with reduced ejection fraction (HFrEF) : clinical diagnosis of HF and left ventricular ejection fraction (LVEF) ${\leq}40\%$ . 18

Heart failure with mildly reduced ejection fraction (HFmrEF) : clinical diagnosis of HF and LVEF $41\%–49\%$ . 18

Heart failure with preserved ejection fraction (HFpEF) : clinical diagnosis of HF and LVEF ${\geq}50\%^{18}$ not attributable to an underlying cause such as an in fi ltrative cardiomyopathy, hypertrophic cardiomyopathy, valvular disease, or pericardial disease.

## Heart failure stages :

n Stage A : At risk of HF due to conditions such as hypertension, diabetes, or coronary artery disease n Stage B : Pre-HF with no symptoms but evidence for structural heart disease including reduced EF, increased left ventricular wall thickness, valvular disease n Stage C : Symptomatic HF with structural heart disease and HF symptoms n Stage D : Advanced HF with marked symptoms despite attempts at optimization of guideline-directed medical therapy

Anti-obesity medications (AOM) : U.S. Food and Drug Administration (FDA)-approved second-generation agents including orlistat, phentermine/topiramate, and naltrexone/bupropion have minimal ef fi cacy and limiting side effects, particularly in individuals with HF. Thirdgeneration agents comprise hormone-based therapies that target metabolic pathways and control appetite. Therapies studied in HF include the GLP-1 receptor agonists (ie, semaglutide) and the GLP-1/GIP dual receptor agonist (ie, tirzepatide), alternatively termed nutrientstimulated hormone therapies.

Obesity : The World Health Organization de fi nes obesity by the BMI threshold $\geq\!30\;\mathrm{\bf~kg}/\mathrm{m}^{2}$ , with classes describing obesity severity (class 1 obesity $\mathrm{BMI}\geq\!30\;\mathrm{kg}/\mathrm{m}^{2}$ to ${<}35\,\mathrm{kg}/\mathrm{m}^{2}$ , class 2 obesity $\mathrm{BMI}\geq35\,\mathrm{kg}/\mathrm{m}^{2}$ to ${<}40\,\mathrm{kg}/\mathrm{m}^{2},$ , and class 3 obesity $\mathrm{BMI}\ {\ge}40\ \mathrm{kg/m}^{2})$ ; $\mathrm{BMI}\,\geq\!25~\mathrm{kg}/\mathrm{m}^{2}$ is consistent with obesity in most Asian populations; see Lancet Diabetes and Endocrinology Commission for details. 19

Anthropomorphic criteria for excess adiposity :

n Abnormal waist circumference: ${\geq}35$ inches ( $'88\ \mathrm{~cm}$ ; women); ${\geq}40$ inches (102 cm; men). In most Asian

populations, waist circumference ${\geq}31.5$ inches $780~\mathrm{{cm}}$ ; women); ${\geq}35$ inches (90 cm; men) is abnormal; see Lancet Diabetes and Endocrinology Commission on Obesity for details. 19

n Abnormal waist-height ratio: ${\geq}0.50$ n Abnormal waist-hip ratio: ${\geq}0.85$ (women); ${\geq}0.90$ (men)

Excess adiposity : From the Lancet Diabetes and Endocrinology Commission, excess adiposity is de fi ned as elevated BMI con fi rmed by either direct measurement of body fat or at least an anthropometric criterion (eg, waist circumference, waist-to-hip ratio, or waist-to-height ratio) in addition to BMI, using validated methods and sexspeci fi c thresholds. 19

Clinical obesity : From the Lancet Diabetes and Endocrinology Commission, clinical obesity is de fi ned as a chronic, systemic illness characterized by alteration in the function of tissues, organs, the entire individual, or a combination thereof, due to excess adiposity. 19 For individuals with excess adiposity and no end-organ disease, a diagnosis of clinical obesity can alternatively be applied with substantial obesity-associated age-adjusted limitations of daily activity.

Preclinical obesity : From the Lancet Diabetes and Endocrinology Commission, preclinical obesity is a state of excess adiposity with preserved function of other tissues and organs. 19

|Abbreviation|Meaning/Phrase| |---|---| |AOM| anti-obesity medications| |BMI|body mass index| |BNP| B-type natriuretic peptide| |EF|ejection fraction| |EMBT|endoscopic metabolic and bariatric therapies| |FDA|U.S. Food and Drug Administration| |GIP| glucose-dependent insulinotropic polypeptide| |GLP-1| glucagon-like peptide-1| |HbA1c|hemoglobin A1c| |HF|heart failure| |HFpEF|heart failure with preserved ejection fraction| |HFrEF|heart failure with reduced ejection fraction| |LVAD|left ventricular assist device| |MBS| metabolic and bariatric surgery| |MI|myocardial infarction| |NP|natriuretic peptides| | NT-proBNP| N-terminal pro-B-type natriuretic peptide| |PAF| population attributable fraction| |PCWP|pulmonary capillary wedge pressure| |SDOH|social drivers of health| |T2DM|type 2 diabetes mellitus|

EPIDEMIOLOGY OF OBESITY IN HF

Prevalence

The prevalence of obesity in adults in the United States from 2017 to 2020, as de fi ned by $\mathrm{BMI}\;\geq\!30\,\mathrm{\kg/m^{2}}$ , was $41.9\%$ , 20 with higher prevalence in men versus women, as well as in Black and Hispanic individuals versus White individuals. 20 Acknowledging the uncertainty in obesity trends given current therapeutic advances, the estimated U.S. prevalence of obesity is projected to increase to $60.6\%$ by 2050. 21

Similarly, the prevalence of HF in the United States is expected to rise, from about 6.9 million in 2024 to 11.4 million in 2050. 21 About 1 in 4 U.S. adults will develop HF, with sex-speci fi c differences: lifetime risk for HFrEF is higher in men $(10.6\%)$ ) than women $\left(5.8\%\right)$ but similar for HFpEF $(10.7\%$ for men and $10.4\%$ for women). 22 Like obesity, the projected prevalence of HF in U.S. adults will increase from $2.7\%$ in 2020 to $3.8\%$ in 2050, 21 with comparable global trends. 20

Obesity is common in HF, which may be related to increased body fat and its attendant metabolic sequelae because of widespread effects on the cardiovascular system leading to symptomatic HFpEF. 23 , 24 In the National Health and Nutrition Examination Survey, 2015-2018, $64.2\%$ of participants self-reported having obesity. 25 In the National (Nationwide) Inpatient Sample of people hospitalized for HF in 2018, obesity was observed in $23.2\%$ of those with HFrEF and $32.8\%$ of those with HFpEF 26 ; the lower observed prevalence likely attributed to the frailty, cachexia, and sarcopenia in hospitalized individuals.

Risk factors

Obesity and HF share common multifactorial risks including genetic, environmental, psychological, and nutritional factors. 19 Obesity is strongly associated with adjusted risk of incident $\mathrm{HF^{27,28}}$ ; every $4~\mathrm{kg/m^{2}}$ of BMI increase carries a 1.2-fold risk for HF, 29 with a stronger relationship in HFpEF. 30 , 31 Furthermore, the population attributable fraction (PAF) of obesity (ie, the percentage of HF that can be attributed to obesity) is greater for HFpEF than HFrEF and in Black individuals versus White individuals in the United States: PAF $22\%$ and $6.6\%$ in White women and $40.4\%$ and $4.5\%$ in Black women. 32 Similar fi ndings are observed in Europe, where the PAF of obesity for HFpEF is $20\%$ (women) and $16\%$ (men) and for HFrEF is $6\%$ (women) and $10\%$ (men). 33

Outcomes

In individuals with HF, obesity is associated with greater symptom burden, 23 , 34 , 35 lower exercise capacity, worse quality of life, 23 , 35 , 36 greater HF instability, 34 and more hospitalizations. 36 , 37 However, the association between

obesity and death in individuals with HF is less clear. In 1 meta-analysis, being underweight (BMI ${<}25\,\mathrm{\kg}/\mathrm{m}^{2})$ carried a $40\%$ higher risk of death while overweight and obesity were not associated with a risk of death. 38 In another meta-analysis, excluding those with intentional weight loss from medications or bariatric surgery, weight loss ${\geq}5\%$ was associated with a $75\%$ higher risk of death. 39

This “ obesity paradox ” has many explanations, including incomplete confounder adjustment, 40 unfavorable outcomes from unintentional weight loss (reverse causation), lead time bias (earlier HF diagnosis in individuals with obesity), greater optimization of HF medications for individuals with obesity, 41 selection bias from inclusion of retrospective studies, 39 or identi fi cation of individuals with less advanced HF. 41 Furthermore, this paradox highlights that obesity classi fi cation based on BMI alone may not be accurate because no paradox exists when obesity is de fi ned by anthropomorphic measures of central obesity rather than BMI. 42-44 BMI is also inconsistent across age, sex, and racial/ethnic groups, and does not distinguish variations in adiposity from lean mass and fl uid retention. 19 , 45

Of note, the prevalence of obesity is higher in individuals with adverse social drivers of health (SDOH) including lower education as well as more food insecurity, economic instability, adverse neighborhood and health systems, 46 and rurality. 20 These SDOH adversely in fl uence access to care, management, and complications of HF. 20 , 47-49 Thus, treating obesity is increasingly important in mitigating the individual and population health consequences of HF, particularly the care inequities based on demographic and socioeconomic factors, insurance status, and rural residence. 47 , 50

Consensus recommendations

n Avoidance of excess adiposity throughout the lifespan is key to the prevention of incident HF, particularly HFpEF. n The “ HF obesity survival paradox ” in part represents the negative implications of unintentional weight loss. n Obesity treatments offer opportunities for improved HF symptom burden, functional capacity, quality of life, and fewer hospitalizations.

DIAGNOSIS OF OBESITY

The World Health Organization de fi nes obesity by the BMI threshold $\geq\!30\;\mathrm{~\bf~}^{2}$ with classes describing obesity severity (class 1 obesity $\mathrm{BMI}\geq\!30\,\mathrm{kg}/\mathrm{m}^{2}$ to ${<}35\,\mathrm{kg}/\mathrm{m}^{2}$ , class 2 obesity $\mathrm{BMI}\ge35\;\mathrm{kg}/\mathrm{m}^{2}$ to ${<}40\,\mathrm{kg}/\mathrm{m}^{2}$ , and class 3 obesity BMI ${\geq}40\;\mathrm{\bf~kg}/\mathrm{m}^{2})$ . 51 BMI has historically been the key metric for identifying obesity and is deeply embedded in research and clinical practice: the current obesity-related HFpEF trials of semaglutide and tirzepatide recruited

participants based on BMI criteria $(\geq\!30\,\mathrm{\bf~kg}/\mathrm{\bfm}^{2})^{4,5,52}$ and FDA approval of these medications includes BMI thresholds for eligibility. However, although BMI is an inexpensive, easily acquired, and readily reproducible metric, it has signi fi cant limitations. 19 , 53 , 54

The limitations of BMI

BMI, developed for prognostication in predominantly White men, has weaknesses in detection of excess adiposity as well as health consequences across diverse populations. 55 , 56 BMI does not discern adipose tissue from muscle mass or fl uid retention, which is particularly relevant in HF where muscle wasting and hypervolemia are prevalent. Furthermore, it cannot distinguish the location or metabolic consequences of adipose tissue, with centrally located adiposity most strongly associated with metabolic dysfunction, in fl ammation, and cardiovascular mortality. 57 , 58 Individuals in Asia show greater metabolic and end-organ consequences of excess adiposity at lower BMIs compared with White populations; $\mathrm{BMI}\geq\!25\,\mathrm{kg}/\mathrm{m}^{2}$ is consistent with obesity in most Asian populations. 59 , 60 As a result, BMI may not be the most effective tool to diagnose clinical obesity. 61

Anthropometric measure — such as waist circumference, waist-to-hip ratio, waist-to-height ratio, or body roundness index — may better represent visceral adiposity and the potential to derive clinical bene fi t from obesity treatment. 62 Increased central adiposity is associated with more adverse HF outcomes, although variability by HF phenotype exists. 43 , 44 , 63-66 Particularly among individuals with HFpEF, paracardiac adipose tissue appears functionally and symptomatically relevant. 66-69

Evolving diagnostic approaches

Although the FDA released draft guidance on “ Obesity and Overweight: Developing Drugs and Biological Products for Weight Reduction: Guidance for Industry ” in January 2025 and it remains BMI-centric, 70 the Lancet Diabetes and Endocrinology Commission proposed a new de fi nition of “ clinical obesity ” also in January 2025. The Lancet Diabetes and Endocrinology Commission de fi nes clinical obesity as a chronic, systemic illness characterized by alteration in the function of tissues, organs, the entire individual, or a combination thereof, due to excess adiposity. 19 Conversely “ preclinical obesity ” is a state of excess adiposity with preserved function of other tissues and organs. However, for individuals with excess adiposity and no end-organ disease, a diagnosis of clinical obesity can alternatively be applied with substantial obesityassociated, age-adjusted limitations of daily activity.

The Lancet Diabetes and Endocrinology Commission stipulates that excess adiposity should be con fi rmed by either direct measurement of body fat (eg, dual X-ray absorptiometry) ( Table 2 ) or at least an anthropometric

|TABLE 2| Strengths and Weaknesses of Adiposity Assessment Techniques in Individuals With HF ||| |---|---|---|---| |Technique|Strengths||Weaknesses| | Body weight and BM19,3-59,61 | ■Low cost ■Portable ■Nonionizing || ■Does not perform well across racial/ethnic and sex groups Does not distinguish fat mass specifically or location of adiposity 1Variable patient | ||||| |Waist circumference,|■Quick||| | waist-to-hip ratio, waist-to-height | Low cost Portable ■Nonionizing || Abdominal circumfer- ence may be increased | || Low cost Portable ■Nonionizing |■[|| |||| during fluid retention Differential prog- nostic performance of these indices across HF phenotypes and | |||| these indices across HF phenotypes and cohorts | |||■|acceptability| | Bioelectrical impedance analysi575-7 8 | ■Low cost ■Nonionizing ■Validation of use■Validation of use specific to HF |■| lable with all implantable HF devices | || 1 Safety data available for transvenous pacemaker and def- brillator devices || devices Sex-specific normal ranges not fully established | | Bioelectrical impedance | ■Nonionizing ■ Segmental body compartment anal- ysis possible Validation of use || ■Pending safety data with implanted cardiac devices | | Whole-body dual X-ray absorptiometry82 |||| | Whole-body dual X-ray absorptiometry82 | ■Low radiation dose 1Sex-specifc normal ranges established || 1Intermediate cost ■lonizing (low-dose radiation) Nonportable | |||■| Nonportable Not widely accessible Fat mass normal ranges not HF specific Assessment of regional adiposity dependent on | ||||■lonizing | |CT83,84| ■Good spatial resolution ||| ||| ■ Comprehensive assessment of regional adiposity | Nonportable Sex-specific normal ranges not fully established | ||||| |MRI85| ■ Good spatial resolution ||■| |MRI85|| resolution Comprehensive assessment of regional adiposity | ■Nonportable ■ Contraindicated with some implanted cardiac devices ■ Sex-specifc normal ranges not fully | |MRI85||■Nonionizing| cardiac devices Sex-specifc normal ranges not fully established | |MRI85| Air displacement plethysmography86 ||| || ■High-fidelity assess- ment of body composition ■Nonionizing | ment of body composition ■Nonionizing ■Quick || |||| Sealed chamber may not be safe for individuals with HF ■1Fat mass normal ranges are not HF specific |

BMI ¼ body mass index; ${\mathsf{C}}{\mathsf{T}}\;=\;$ computed tomography; HF ¼ heart failure; MRI ¼ magnetic resonance imaging.

![FIGURE 1 Diagnosis of Obesity in HF Based on the Lancet Diabetes and Endocrinology Commission19 FIGURE 1 Diagnosis of Obesity in HF Based on the Lancet Diabetes and Endocrinology Commission 19 Evidenceofexcessadiposity\* Evidence of excess adiposity\* • Elevated BMI plus at least 1 abnormal anthropometric index ·Elevated BMl plus at least 1 abnormal anthropometric index ·Elevated BMl plus excess fat by direct measurement (Table 2) • Elevated BMI plus excess fat by direct measurement (Table 2) ·BMl>35kg/m2 • BMI >35 kg/m 2 Evidence of HF Evidence of HF HF with preserved EF HF with preserved EF HFwithreduced EF HF with reduced EF HF with reduced EF HF with reduced EF ·Cardiacdysfunction • Cardiac dysfunction ·Etiologypathophysiologically • Etiology pathophysiologically · Etiology unrelated to obesity • Etiology unrelated to obesity attributed to excess adiposity attributed to excess adiposity linked to obesity linked to obesity ·No other evidence of obesity- • No other evidence of obesityrelatedorgandysfunction related organ dysfunction Clinical Obesity Clinical Obesity Preclinical Obesity Preclinical Obesity \*Thresholds for excess adiposity in figure legend \*Th ](https://venus-trag-1258344701.cos-internal.ap-guangzhou.tencentcos.cn/userUpload/is-62e36cd9/2025-06-20/a303d5ee-0a6c-414a-9e60-1d1145606542/a303d5ee-0a6c-414a-9e60-1d1145606542.jpg?q-sign-algorithm=sha1&q-ak=AKID61g5D5fy1TjiRv84nEOHtFJ8gyzjCPL0&q-sign-time=1750420344%3B1750423944&q-key-time=1750420344%3B1750423944&q-header-list=host&q-url-param-list=&q-signature=781313adcee97d3bc511df8b1dbf77ce18924374) \*Thresholds for excess adiposity: BMI threshold $\geq\!30\;\mathrm{kg}/\mathsf{m}^{2}$ ; ${\mathsf{B M I}}\geq\!25~\mathsf{k g}/\mathsf{m}^{2}$ is consistent with obesity in most Asian populations. 19 Abnormal waist circumference: ${\geq}35$ inches $.88\,\mathsf{c m}$ ; women); ${\ge}40$ inches ( $102\,\mathsf{c m}_{\mathrm{i}}$ ; men). In most Asian populations, waist circumference $\geq\!31.5$ inches (80 cm; women); ${\geq}35$ inches (90 cm; men) is abnormal. 19 Abnormal waist-to-height ratio: $\geq\!0.5!$ ; abnormal waist-to-hip ratio: ${\geq}0.85$ (women); ${\geq}0.90$ (men). BMI ¼ body mass index; EF ¼ ejection fraction; ${\mathsf{H F}}=$ heart failure.

criterion (eg, waist circumference, waist-to-hip ratio, or waist-to-height ratio) in addition to BMI, using validated methods and sex-speci fi c thresholds. Per this Commission, BMI should only be used as a surrogate measure of risk at a population level and not for individual assessment, although individuals with $\mathrm{BMI}\ge40\ \mathrm{kg}/\mathrm{m}^{2}$ may be assumed to have excess adiposity. For the adoption of this approach in routine practice, the time and cost of direct adiposity measurement are likely to have the highest yield when BMI ${<}35~\mathrm{kg}/\mathrm{m}^{2}$ .

With an existing diagnosis of HFpEF, excess adiposity would ful fi ll the requirements for a clinical obesity diagnosis. Whether HFrEF quali fi es would presumably depend on whether the cardiomyopathy pathophysiology is related to excess adiposity (eg, via ischemic, diabetic, hypertensive etiologies versus an unrelated pathophysiology [eg, a de fi ned genetic, myocarditis, or in fi ltrative etiology]), although the presence of other obesity-related organ dysfunction would also qualify for a diagnosis of clinical obesity ( Figure 1 ).

Of note, despite the endorsement of waist circumference as an anthropometric criterion, the feasibility and patient perceptions of conducting these measurements,

especially within the HF clinic setting, are not established. Obesity is a highly stigmatized condition, 87 and clinicians should be sensitive to the potential for patient discomfort with either being weighed or abdominally measured during medical visits. 88

Consensus recommendations

n Although BMI is an inexpensive, easily acquired, and readily reproducible metric that is strongly embedded in research and clinical practice, signi fi cant limitations exist in the detection of excess adiposity, the location of adiposity, and applicability to diverse populations. n To determine a diagnosis of clinical obesity in individuals with BMI ${<}35\,\mathrm{\kg}/\mathrm{m}^{2}$ , direct assessment of excess adiposity with an anthropometric criterion (eg, waist circumference [the most readily obtainable], waist-to-hip ratio, or waist-to-height ratio) or body composition assessment (eg, dual X-ray absorptiometry, when available) may be used. n Clinicians should be aware that obesity remains a stigmatized condition and that some individuals may experience discomfort with being weighed, abdominally measured, or talking about weight during a medical visit.

J A C C V O L . - , N O . - , 2 0 2 5 - , 2 0 2 5 : - – -

RISK ASSESSMENT AND EVALUATION OF OBESITY AND HF

Risk assessment and evaluation of individuals with obesity and HF include understanding the challenges of the diagnosis of HF in the context of obesity and comprehensive assessment of obesity- and HF-related comorbidities.

Challenges of the diagnosis of HF in individuals with obesity

Given the lack of testing to de fi nitively establish the diagnosis of HFpEF, the use of clinical scoring systems may be useful to aid in the diagnostic evaluation. 89-91 Nonetheless, excess adiposity can affect the sensitivity and speci fi city of the history, physical examination, echocardiogram, and natriuretic peptides (NP) for the diagnosis of HF as established in the Universal De fi nition. 17 Volume assessment remains particularly challenging in obesity-related HF, because traditional physical examination fi ndings (eg, jugular venous distention, peripheral edema) are less reliable. In fact, even noninvasive hemodynamic markers including those obtained from echocardiography underestimate circulatory congestion in individuals with obesity. 92 Although not routinely performed, accurate diagnosis of HFpEF in individuals with dyspnea and obesity may include assessment of pulmonary capillary wedge pressure (PCWP) during a cycle exercise study, with generally accepted HFpEF thresholds of supine peak exercise PCWP ${\geq}25$ mmHg, or upright peak exercise PCWP \$ 20 mmHg. 93 , 94

Assessment of NP including N-terminal pro – B-type natriuretic peptide (NT-proBNP) and B-type natriuretic peptide (BNP) can be challenging in the context of obesity. NP assessment is recommended to (1) guide the diagnosis of HF if it is uncertain and (2) to risk stratify individuals with existing HF. 17 , 18 , 95 , 96 However, obesity may suppress NP production resulting in lower NP levels compared with individuals without obesity despite similar or higher risk for HF events. 34 , 92 , 97 Furthermore, the current recommended rule-out NT-proBNP threshold of ${<}125$ $\mathrm{{ng/L}}$ had only $67\%$ sensitivity in 1 analysis of individuals with a BMI ${>}35\;\mathrm{\:~kg}/\mathrm{m}^{2}$ . In fact, with a BMI of ${>}35\;\mathrm{\bf~kg}/\mathrm{m}^{2}$ , using a rule-out NT-proBNP threshold of ${>}50\,\mathrm{\ng/L}$ offered $93\%$ to $98\%$ sensitivity and a rule-in NT-proBNP threshold of ${\scriptstyle>}220\,\mathrm{\ng/mL}$ provided $82\%$ to $89\%$ speci fi city, 98 illustrating the value of BMI-dependent diagnostic thresholds for NP in individuals with obesity. 68 , 98 Thus, the use of NP to guide the diagnosis of HF and risk strati fi cation in individuals with obesity is hindered by lower NP concentrations that belie true HF probability. Clinicians should have a high index of suspicion for HF in individuals with obesity if there are other clinical symptoms and signs of HF despite “ normal ” NP levels.

Assessment of comorbidities of obesity and HF

Individuals with metabolically unhealthy obesity — characterized by insulin resistance, chronic in fl ammation, and increased cardiovascular risk — are at particularly high risk for poor HF outcomes. 99 Routine metabolic pro fi ling, including hemoglobin A1c (HbA1c) and lipid panels, can identify the effects of excess adiposity and guide targeted interventions. Additionally, assessment of liver enzymes and hepatic imaging can identify metabolic dysfunctionassociated steatotic liver disease.

Echocardiography can identify left ventricular hypertrophy and pulmonary hypertension although it may underestimate congestion in individuals with obesity. 92 Blood pressure (BP) monitoring will detect masked and nocturnal hypertension, prevalent in obesity-related HF. 100 Given the higher risk of atrial fi brillation in obesity, 101 screening with symptoms and ambulatory ECG as indicated may uncover atrial fi brillation warranting intervention.

Sleep-disordered breathing is common in HFpEF 102-105 and obesity, 106 and thus for those with a high clinical suspicion of sleep apnea, polysomnography can identify obesity hypoventilation syndrome and obstructive sleep apnea warranting treatment. 18

Objective assessments of functional capacity, sarcopenia, and frailty include 6-minute walk distance, gait speed, and handgrip strength. They may indicate a de fi - ciency or decline for which targeted interventions such as resistance training or cardiac rehabilitation could be recommended. 3

Consensus recommendations

n Because individuals with obesity have lower NP concentrations, lower thresholds are used in those who have obesity and exertional dyspnea to avoid underdiagnosis of HF in this population, although speci fi c thresholds are not currently established. n For individuals with HF and obesity, monitoring for T2DM, hypertension, atrial fi brillation, sleepdisordered breathing, and objective evidence of exercise intolerance can identify the need for targeted interventions.

MANAGEMENT OF OBESITY IN HF

Management strategies for obesity range from lifestyle and behavioral interventions to medications to invasive interventions with varying evidence for safety and ef fi - cacy in individuals with HF. A summary of strategies is shown in the Central Illustration .

Lifestyle and behavioral interventions

Lifestyle and behavioral interventions have historically represented the foundation of intentional weight loss

![Weight Loss Strategies in Heart Failure Behavioral Changes: Anti-Obesity Metabolic and Bariatic Diet and Exercise Medications Surgery 5%-10%weightloss 10%-20%weightloss 10%-30%weightloss Exercise and caloricrestriction Weight regain with cessation Weightlossoftensustained withadditiveweightlosseffect of anti-obesity medications overyears No randomized data in HF Weightlossdifficulttosustain Semaglutide: with significant regain ·Signficant improvement in Observational data suggests overtime functional status and symptom thatMBS: burden in HFpEF ·Reduces risk of incident HF ·ReducedratesofMACEand ·Decreasesrates of HF Limited data in HF, HF hospitalization in HF\* hospitalization and butsuccessful weight loss inpatient mortality associatedwithimproved Tirzepatide-additionalbenefit: functionalstatusand ReducedriskforCVdeathor Individuals with HF, reducedsymptomburden HF events in HFpEF (low event especiallyHFrEF,mayhave in HFpEF rates prevent conclusive higherrates ofcomplications assessment) with surgery \*Secondary analysis ](https://venus-trag-1258344701.cos-internal.ap-guangzhou.tencentcos.cn/userUpload/is-62e36cd9/2025-06-20/66df7f1f-8e0f-4023-b36e-a33d64a9f9b0/66df7f1f-8e0f-4023-b36e-a33d64a9f9b0.jpg?q-sign-algorithm=sha1&q-ak=AKID61g5D5fy1TjiRv84nEOHtFJ8gyzjCPL0&q-sign-time=1750420344%3B1750423944&q-key-time=1750420344%3B1750423944&q-header-list=host&q-url-param-list=&q-signature=db7c61715ee3441b7d37ab4196aeed7630dc2a13) CENTRAL ILLUSTRATION Evidence for Safety and Ef fi cacy of Obesity Management Strategies in Individuals With HF

Kittleson MM, et al. JACC. 2025; - ( - ): - – - .

$\mathsf{C V}=$ cardiovascular; HF $=$ heart failure; HFpEF $=$ heart failure with preserved ejection fraction; MACE $=$ major adverse cardiac events; MBS ¼ metabolic and bariatric surgery.

efforts. There is a robust evidence base, and in line with the 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease, that a plant-predominant dietary pattern can aid in weight loss while reducing cardiovascular co-morbidities. 107 Registered dieticians and health coaches can be helpful in the implementation of these approaches. Additionally, the Primary Prevention Guidelines recommend a period of 30 minutes a day of exercise at a level of breathlessness or its equivalent to aid in weight loss and reduction in cardiovascular morbidity and mortality. 107 Cardiac rehabilitation or structured coaching or exercise programs can aid in success with these lifestyle initiatives.

In individuals without HF, behavioral interventions, including caloric restriction, speci fi c diets, and increases in physical activity, are associated with 1-year weight loss of $5\%$ to $10\%$ with wide variation across trials, even with similar interventions. 108 This variability likely re fl ects

differences in adherence, metabolic adaptations, and genetic predisposition. Importantly, although this degree of weight loss may not resolve obesity, it has been associated with improvements in physical function, 109 , 110 prevention of/improvement in type 2 diabetes, 111 , 112 improved BP control, 113 improvements in cardiometabolic biomarkers, 113 and risk of cardiovascular events. 114

Furthermore, although intentional weight loss via behavioral changes is challenging to achieve and sustain, when successful, it is associated with reduced cardiovascular risk and improved HF severity. 109 , 114 , 115 In the Look AHEAD (Action for Health in Diabetes) trial, 5,145 individuals with overweight or obesity and type 2 diabetes were randomized to an intensive lifestyle intervention, including caloric restriction and increased physical activity (intervention group) or diabetes support and education (control group). 115 Although individuals in

the intervention group had greater weight loss at 1 year $(8.6\%$ vs $0.7\%$ in the control group), these differences were largely attenuated over time ( $76.0\%$ vs $3.5\%$ weight loss at a median follow-up of 9.6 years), suggesting inadequate long-term sustainability of behavioral interventions.

Although the Look AHEAD trial overall demonstrated no cardiovascular bene fi t (composite of cardiovascular death, nonfatal myocardial infarction [MI], nonfatal stroke and hospitalization for angina), those individuals who achieved ${\geq}10\%$ weight loss at 1 year had a $21\%$ reduction in cardiovascular events, suggesting a potential threshold effect for cardiovascular bene fi t. Notably, $92\%$ of those achieving ${\geq}10\%$ weight loss at 1 year had been assigned to the intensive lifestyle intervention arm, reinforcing the importance of structured weight loss programs. 114 Of note, achievement of optimal cardiometabolic health (including improvement in waist circumference, BP, HbA1c, and kidney function) was associated with lower HF risk. 116

Similar fi ndings have been observed in HFpEF. In a single-arm study of individuals with HFpEF and obesity undergoing a 15-week weight management program with meal replacements, weekly visits, and weight checks, only two-thirds of individuals completed the program, although $74\%$ of those individuals lost ${\tt>}5\%$ of their body weight. Individuals who did lose weight had improved 6- minute walk distance and quality of life, and improvements were highly correlated with the degree of weight loss. 109 These observations suggest that, although dif fi - cult to achieve, intentional weight loss via behavioral changes reduces cardiovascular risk and, among individuals with HFpEF, improves functional status and symptom burden.

Exercise is not an effective sole strategy for weight loss, although it does improve functional status in individuals with HF, and speci fi cally HFpEF, and assists in the maintenance of weight loss in individuals of high cardiovascular risk. In a study of 100 older adults with HFpEF and obesity randomized in a $2\times2$ factorial design to 20 weeks of calorie restriction, exercise, or both, exercise alone was not associated with signi fi cant decreases in weight. 3 However, exercise provided additive bene fi ts when combined with calorie restriction in functional capacity measured by maximal oxygen consumption. Exercise is also a strong predictor of successful weight loss maintenance over time. In one study, individuals who maintained an average weight loss of $13.6\;\mathrm{kg}$ for 5.8 years had exercised an average of 2,620 kcal/wk $(\sim\!70\,\,\mathrm{min/d}$ of moderate intensity exercise). 117

No evidence exists to support any single diet for weight loss; however, adherence to Mediterranean-style diets, particularly those supplemented with extra virgin olive oil or nuts, is associated with improved long-term weight

maintenance and cardiovascular risk reduction. 118 A ketogenic diet may be effective for weight loss and may lower HF hospitalization risk in individuals with obesity and HF, although applicability and long-term safety (particularly for those who are taking sodium-glucose cotransporter 2 inhibitors) remain uncertain. 119 In individuals with HF, several small studies indicated that a high-protein diet may result in greater weight loss, improvement in cardiometabolic markers, functional status, and quality of life compared with a standard or low-protein diet. 120 , 121 However, the measured bene fi t is small, underscoring the dif fi culty of achieving meaningful weight loss through behavioral interventions. 122

Consensus recommendations

n Behavioral changes aimed at intentional weight loss are appropriate to attempt for individuals with obesity because even modest changes in body weight can result in improvements in risk of cardiovascular events, although weight loss is often unsustainable. n Exercise can improve functional status in individuals with HFpEF.

Pharmacologic interventions

Pharmacologic interventions for obesity have been hampered historically by inadequate ef fi cacy or safety. 123 , 124 Fen fl uramine, dexfen fl uramine, sibutramine, and lorcaserin were withdrawn from the market because of safety concerns. 123 , 124 Currently available, FDA-approved, second-generation agents including orlistat, phentermine/topiramate, and naltrexone/bupropion have minimal ef fi cacy and limited adverse effects, particularly in individuals with HF. However, the thirdgeneration weight-loss medications have altered the pharmacotherapy landscape. These agents are more effective than lifestyle interventions and less risky than invasive procedures with increasing evidence of cardiovascular bene fi t in individuals with HFpEF. Of note, these agents have not been studied in individuals with HFrEF with safety concerns speci fi cally for liraglutide potentially increasing the risk of hospitalizations for HF and arrhythmias in individuals with advanced HFrEF. 125-127

Clinical trial summary of AOM in obesity-related HF

Semaglutide, a GLP-1 receptor agonist, and tirzepatide, a dual GIP/GLP-1 receptor agonist, have been evaluated in individuals with symptomatic HFpEF and $\mathrm{BMI}\geq30~\mathrm{kg}/\mathrm{m}^{2}$ in 3 pivotal trials: the STEP-HFpEF program, comprising 2 trials separated by the inclusion of individuals with 128 or without 4 type 2 diabetes; and the SUMMIT trial. 5

In the STEP-HFpEF program, 129 1,145 individuals with EF ${\geq}45\% $ were randomized semaglutide or placebo, administered to target $2.4~\mathrm{mg}$ once weekly for 52 weeks.

|| STEP-HFpEF (N = 1,145) | SUMMIT (N = 731) | |---|---|---| |Trial design||| |Inclusion criteria||| |Age, y|≥18|40| |LVEF, %|≥45|≥50| | NYHA functional class|II-IV|II-IV| |KCCQ-CSS|||

|TABLE3 Continued|TABLE3 Continued|TABLE3 Continued| |---|---|---| | STEP-HFpEF SUMMIT (N = 1,145) (N = 731) ||| |Outcomes|Outcomes|Outcomes| |Follow-up, wk Fixed 52 Median 104||| |Placebo-corrected mean change (95% CI)||| |KCCQ-CSS points (out of 100)|7.5 (5.3-9.8)|6.9 (3.3-10.6)| |Weight, %|-8.4 (-9.2 to -7.5)|-11.6 (-12.9 to -10.4)| |6MWD, m|17.1 (9.2-25.0)|18.3 (9.9-26.7)| |Waist circumference, cm|-7.6 (-8.7 to -6.6)|N/A| | Systolic BP, mmHg|-2.9 (-4.9 to 0.9)|-4.7 (-6.8 to -2.5)| |hs-CRP, %|-36 (-44 to -28)|-35 (-46 to -22)| | NT-proBNP, %|-8 (-26 to -9) -10 (-21 to 1)|| | Clinical events | Clinical events | Clinical events | |First HF event, active vs placebo, n 8 vs 30 29 vs 52||| |HR (95% CI) 0.27 (0.12-0.56) 0.54 (0.34-0.85)||| | First HF event or CV death, active vs 10 vs 32t 36 vs 56 placebo, n ||| |HR (95% CI) 0.31 (0.15-0.62)|0.62 (0.41-0.95)|| |Cardiovascular death, active vs placebo, n 2 vs 5 8 vs 5||| | All-cause death, active vs placebo, n 8 vs 14 19 vs 15 |||

\*Including sacubitril/valsartan. † Only reported for STEP-HFpEF Diabetes.

6MWD $=6$ -minute walk distance; ACEI ¼ angiotensin-converting enzyme inhibitor; $\mathsf{A F}=$ atrial fi brillation; $\mathsf{A O M}=$ anti-obesity medications; ARB ¼ angiotensin receptor blocker; ARNI ¼ angiotensin receptor-neprilysin inhibitor; BMI ¼ body mass index; ${\mathsf{B P}}=$ blood pressure; ${\mathsf{C I}}=$ con fi dence interval; $\mathsf{C V}=$ cardiovascular; eGFR ¼ estimated glomerular fi ltration rate; $\mathsf{E F}=$ ejection fraction; $\mathsf{H F}=$ heart failure; HR ¼ hazard ratio; hs-CRP ¼ high-sensitivity C-reactive protein; KCCQ-CSS $=$ Kansas City Cardiomyopathy Questionnaire-Clinical Summary Score; LAE ¼ left atrial enlargement; LVEF $=$ left ventricular ejection fraction; $\mathsf{L}\mathsf{V}\mathsf{H}=$ left ventricular hypertrophy; MRA $=$ mineralocorticoid antagonist; NT-proBNP $=$ N-terminal pro – B-type natriuretic peptide; NYHA $=$ New York Heart Association; PASP ¼ pulmonary artery systolic pressure; $\mathsf{S C}=$ subcutaneous; SGLT2 ¼ sodium-glucose cotransporter-2.

In the SUMMIT trial, 731 trial participants with or without type 2 diabetes and EF ${\geq}50\%$ were randomized to tirzepatide or placebo, to target $\tt{15~m g}$ once weekly for a median follow-up of 104 weeks. 5

In the STEP-HFpEF program, semaglutide improved quality of life by Kansas City Cardiomyopathy Questionnaire scores and functional capacity by 6-minute walk distance. 4 , 52 , 129 Semaglutide and tirzepatide were also associated with substantial weight loss, greater overall improvement in New York Heart Association functional class, and decreases in BP, NT-proBNP levels, and high-sensitivity C-reactive protein ( Table 3 ). 4 , 5 , 128 , 129 The SUMMIT trial extended these observations with a co-primary endpoint of time-to- fi rst composite of a worsening HF event or cardiovascular death. In the SUMMIT trial, tirzepatide was associated with a signi fi - cant reduction in HF events, although the numbers of events were too small to offer a conclusive assessment of HF bene fi t.

The bene fi t of semaglutide and tirzepatide on “ hard ” clinical endpoints remains unclear, although the SELECT (Semaglutide Effects on Heart Disease and Stroke in Patients with Overweight or Obesity) trial offers insight. In 17,604 individuals with cardiovascular disease and BMI ${>}27\,\mathrm{kg}/\mathrm{m}^{2}$ , semaglutide was associated with $10.2\%$ weight

loss over 208 weeks, as well as a reduction in the primary composite endpoint of cardiovascular death, MI, and stroke. 16 Of the $24\%$ of individuals with HF at baseline, the bene fi t of semaglutide was comparable to that of the entire trial population with an additional reduction in a composite HF outcome (cardiovascular death or hospitalization or urgent hospital visit for HF). 130 However, $90\%$ of participants with baseline HF were New York Heart Association class I-II.

Role of AOM in HFpEF with obesity

The generalizability of the demonstrated clinical trial bene fi t to the real-world population of HFpEF and obesity is not clearly established. The inclusion criteria were complex and included indicators of congestion that may not be routinely assessed in clinical practice such as echocardiographic evidence of elevated fi lling pressures ( Table 3 ). Second, the baseline characteristics indicate that the trial population differed in multiple aspects from that of other contemporary HFpEF trials, 131-134 including relatively younger individuals with higher EFs, higher BMI, lower NT-proBNP, and lower baseline Kansas City Cardiomyopathy Questionnaire scores ( Table 3 ), although this may be a strength because this population may be more representative of clinical practice.

|TABLE 4||||||||| |---|---|---|---|---|---|---|---|---| |FDA-approved indications||Benefits based on clinical trials|Use with caution|Use with caution||Contraindications||| |Semaglutide|||■Adults|||| ■FPersonal orfamilyhistory ofmedullarythy- roid cancer || ||■CVD and either obesity or|■|1NYHA functional class Il-IV||■HF with EF ||||

$\mathsf{A O M}=$ anti-obesity medications; CVD ¼ cardiovascular disease; EF ¼ ejection fraction; $\mathsf{F D A}=\mathsf{U.S.}$ . Food and Drug Administration; HF ¼ heart failure; NT-proBNP $=$ N-terminal pro – Btype natriuretic peptide; NYHA $=$ New York Heart Association.

With these caveats, the current evidence suggests that, in people with $\mathrm{BMI}\;\geq\!30\,\mathrm{\kg}/\mathrm{m}^{2}$ and HF with $\mathrm{EF}\ \ge\!45\%$ (semaglutide) and $\scriptstyle{\mathrm{EF}}\ \geq50\%$ (tirzepatide), weight loss is associated with improvements in symptoms and functional capacity. An evidence-based approach to patient selection is shown in Table 4 .

Monitoring of AOM in obesity-related HFpEF

The integration of AOM in obesity-related HF requires structured monitoring across initiation, titration with metabolic and HF-speci fi c surveillance, and long-term follow-up to ensure safety and ef fi cacy 36 ( Figure 2 ). Preinitiation assessment ensures clinical stability, postponing therapy in individuals with recent HF decompensation or arrhythmias, and baseline laboratory evaluation with kidney function, electrolytes, and HbA1c.

Adverse events reported in the trials were predominantly gastrointestinal, including nausea, vomiting, decreased appetite, constipation, and diarrhea. Other notable adverse effects include the potential for acute kidney injury from gastrointestinal-induced volume depletion, hypoglycemia in individuals with diabetes receiving insulin or insulin secretagogues, and rarely acute gallbladder disease, pancreatitis, and hypersensitivity reactions. Nonetheless, with the gradual dose uptitration approach used in the trials, overall discontinuation rates were only slightly more frequent in the active treatment group.

During early-phase gradual dose escalation, which occurs every 4 weeks, monitoring including kidney function and electrolyte reassessment with adjustment of diuretics, antihypertensive agents, and antihyperglycemic agents may be conducted as indicated, particularly if gastrointestinal adverse effects are prominent. In this situation, careful attention to hypovolemia and electrolyte imbalances is essential. For insulin-dependent individuals, glucose should be monitored to avoid hypoglycemia, in coordination with the clinician responsible for diabetes management.

Although the absolute relationship between weight loss and cardiovascular bene fi t with AOM remains unclear, in individuals with obesity who do not achieve at least $5\%$ weight loss by 1 year, additional weight loss interventions are often pursued.

Consensus recommendations

n The STEP-HFpEF program and SUMMIT trial show that, in people with $\mathrm{BM}\ge30\ \mathrm{kg}/\mathrm{m}^{2}$ and HF with $\mathtt{E F}\ge\!45\%$ (semaglutide) and EF ${\geq}50\%$ (tirzepatide), weight loss is associated with improvements in symptoms and functional capacity. n Insuf fi cient evidence exist to date to con fi dently conclude that semaglutide and tirzepatide reduce HF events in individuals with HFpEF and obesity (with stronger evidence for tirzepatide), although exploratory analysis indicates favorable changes in biomarkers and imaging parameters suggesting potential distinct mechanistic advantages outside of weight loss. n During early-phase gradual dose escalation of semaglutide or tirzepatide, which occurs every 4 weeks, monitor kidney function and electrolytes with adjustment of diuretics, antihypertensive agents, and antihyperglycemic agents as indicated, particularly if gastrointestinal adverse effects are prominent.

Invasive interventions

Invasive interventions for weight loss include metabolic and bariatric surgery (MBS) and endoscopic metabolic and bariatric therapies (EMBT). 135-137 The most common MBS comprises Roux-en-Y gastric bypass, sleeve gastrectomy, and gastric banding. EMBT, including gastric balloon and endoscopic sleeve gastrectomy, are less routinely used.

Among MBS, Roux-en-Y gastric bypass is most effective with an average $31\%$ weight loss at 1 year; $70\%$ of individuals maintain this weight loss at 10 years. 135 Sleeve gastrectomy confers average weight loss of $23\%$ at 1 year, with $18\%$ weight loss maintained at 4 years. 135 EMBT

![Pre-initiation Pre-initiation During dose escalation During dose escalation Long-term follow-up Long-term follow-up · Confrm HF stability with • Confirm HF stability with • Titration every 4 wk ·Titration every 4 wk · Ongoing volume assessment • Ongoing volume assessment volume and arrhythmia volume and arrhythmia • Monitor for GI adverse effects · Monitor for Gl adverse effects every 3-6 mo every 3-6 mo assessment assessment which may affect volume status which may affect volume status ·Monitor control of diabetes • Monitor control of diabetes · Provide education • Provide education and kidney function and kidney function · If <5% weight loss, consider • If <5% weight loss, consider • Store in refrigerator to · Store in refrigerator to · Stop and report abdominal pain • Stop and report abdominal pain alternative treatment strategy alternative treatment strategy maintain stability maintain stability (possible pancreatitis or (possible pancreatitis or · Stop if pregnant • Stop if pregnant • Inject under skin of abdomen, · Inject under skin of abdomen, gallbladder disease) gallbladder disease) · Report lump in the neck, • Report lump in the neck, thigh, upper arm thigh, upper arm · Stop and report swelling of face, • Stop and report swelling of face, hoarseness, or dysphagia hoarseness, or dysphagia • Inject one day of the week · Inject one day of the week lips, tongue, or throat, rash, or lips, tongue, or throat, rash, or (possible thyroid tumors) (possible thyroid tumors) (same day each week), any (same day each week), any itching (possible hypersensitivity itching (possible hypersensitivity · Report symptoms of • Report symptoms of time of day time of day reaction) reaction) hypoglycemia (if diabetes) or hypoglycemia (if diabetes) or change in vision (if diabetes- change in vision (if diabetes- related retinopathy) related retinopathy) Semaglutide Semaglutide 2.4 mg 2.4 mg Tirzepatide Tirzepatide 15.0 mg 15.0 mg 12.5 12.5 1.7 1.7 10.0 10.0 1.0 1.0 7.5 7.5 0.5 0.5 5.0 5.0 0.25 0.25 2.5 2.5 0 0 4 4 8 8 12 12 16 16 0 0 4 4 8 8 12 12 1620 16 20 Weeks Weeks Weeks Weeks anti-obesity medications; gastrointestinal; heart failure. ](https://venus-trag-1258344701.cos-internal.ap-guangzhou.tencentcos.cn/userUpload/is-62e36cd9/2025-06-20/8ec9c127-7e20-4193-90e6-79bd79ccb09a/8ec9c127-7e20-4193-90e6-79bd79ccb09a.jpg?q-sign-algorithm=sha1&q-ak=AKID61g5D5fy1TjiRv84nEOHtFJ8gyzjCPL0&q-sign-time=1750420344%3B1750423944&q-key-time=1750420344%3B1750423944&q-header-list=host&q-url-param-list=&q-signature=d8397cb7541eb2a5acfa6bea7ec5e3bada3de251) FIGURE 2 Management Considerations Across Phases of AOM Administration

methods offer an expected weight loss at 1 year of $12\%$ to $15\%$ with gastric balloon and $13\%$ to $16\%$ for endoscopic sleeve gastrectomy, although many recipients require long-term adjunctive therapies to sustain weight loss. 136 , 137 Gastric balloons are also limited by migration and symptom burden; up to $17\%$ of recipients require removal because of adverse effects. 138 Current indications for MBS and EMBT include $\mathrm{BMI}\geq35~\mathrm{kg}/\mathrm{m}^{2}$ $(27.5\;\mathrm{kg}/\mathrm{m}^{2}$ in Asian individuals) or BMI ${\geq}30$ to $34.9~\mathrm{kg}/\mathrm{m}^{2}$ with metabolic disease. 139

There are no randomized trials of MBS and EMBT in individuals with HF. In individuals without established HF, MBS is associated with improved cardiac structure and mechanics 140 , 141 and lower risk of subsequent incident HF of almost $50\%$ . 142-146 MBS is also associated with signi fi cant reductions in cardiovascular death, MI, and stroke, and signi fi cant improvements in cardiometabolic risk markers including systolic BP, total cholesterol, highdensity lipoprotein, and HbA1c. 144 , 146-149

Among individuals with established HF, MBS is associated with a decreased risk for hospitalization with HF and death during hospitalization for HF. 140 , 150-153 Of note, in a self-controlled case series of 524 individuals with HF

undergoing MBS, a lower rate was observed for urgent visits and hospitalization for HF in the 2 years following MBS compared with the 2 years before MBS. 151 In addition, among individuals hospitalized for HF, those who had previously undergone MBS had a signi fi cantly lower risk of inpatient death than those with obesity without a previous MBS. 153 Although these analyses included weighting for between-group differences, individuals with MBS are often younger with fewer comorbidities. These analyses are therefore limited by a relatively high risk for residual confounding, and randomized controlled trials are needed to fully understand the effect of MBS on HF outcomes.

Additionally, despite evidence of cardiovascular bene fi t, individuals with HF have higher postoperative risks from MBS. 154-156 In analyses from the National (Nationwide) Inpatient Sample database, individuals with HF undergoing MBS had higher inpatient death rates; 3- fold for HFrEF and 1.5-fold for HFpEF, compared with individuals without HF. 156 Individuals with HF were also more likely to experience postoperative MI, pulmonary edema, atrial fi brillation, acute kidney injury requiring dialysis, respiratory failure, and sepsis. Although these

fi ndings do not preclude MBS for individuals with HF, they do underscore the importance of patient selection and type of MBS. Individuals with HF should be appropriately stabilized with optimal medical therapy. Ensuring the availability of clinicians with HF experience at MBS centers could mitigate the perioperative HF risk.

Individuals with obesity and advanced HF, particularly those with left ventricular assist devices (LVADs), represent a unique patient subgroup. Individuals with obesity and LVADs experience higher rates of driveline infections, device thromboses, and neurologic events compared with individuals without obesity. 157 Historically, a BMI of $\geq\!35\,\mathrm{\kg}/\mathrm{m}^{2}$ has also been regarded as a barrier to heart transplant, leading individuals with obesity and LVADs to pursue weight loss to enable transplant eligibility. 157 As a result, understanding the safety and effectiveness of weight loss interventions is important in this group with case reports indicating feasibility, 158 although such surgeries are ideally undertaken only in centers with expertise in both high-risk MBS and HF.

Consensus recommendations

n For individuals with HF and obesity, MBS appears effective for intentional weight loss and potentially to reduce risk of HF events, including hospitalization for HF and death, although these possibilities are based only on data from observational studies. n Individuals with HF who are undergoing MBS have an increased risk of postoperative cardiovascular morbidity and death, suggesting the need for preoperative optimization and perioperative care by clinicians with expertise in HF management.

EVIDENCE GAPS AND FUTURE DIRECTIONS

Numerous programs are now planned or are underway to investigate the effect of obesity treatments on clinical outcomes across a wide spectrum of cardiovascular disease states ( Table 5 ). 159 , 160 Despite this enthusiasm, many questions remain.

What intentional weight loss strategy offers the greatest HF bene fi t?

There is no randomized controlled trial evidence regarding prognostic impact of intentional, nonmedication-based weight loss in individuals with HF. In a systematic review that compared studies of lifestyle intervention $(\mathsf{n}=9)$ , pharmacotherapy $(\mathbf{n}=3\$ ; semaglutide or orlistat), or MBS $(\mathsf{n}\ =\ 10)$ ) in individuals with overweight or obesity and HF, 6 lifestyle intervention offered minimal adverse events and improvement in HF

symptoms in both HFpEF and HFrEF. In another observational analysis of individuals with HF undergoing MBS or receiving GLP-1 receptor agonist, versus matched referents, both groups experienced a reduction in death, HF hospitalization, and weight compared with their respective matched referents. 146

One emerging concern with AOM is the development of sarcopenic obesity, a condition characterized by the coexistence of low skeletal muscle mass (sarcopenia) and increased body fat. This poses a signi fi cant health risk particularly in older adults. 163 , 164 Trials of semaglutide and tirzepatide have not speci fi cally included individuals with sarcopenic obesity, although body composition data suggest that up to one-third of weight lost within the treatment arms of STEP-1 (Semaglutide Treatment Effect in People) and SURMOUNT-1 (A Study of Tirzepatide [LY3298176] in Participants With Obesity or Overweight) was lean mass, as opposed to fat mass. 165 , 166 The key objectives in treating sarcopenic obesity are to combine exercise and nutritional interventions with the aim of reducing adipose tissue while preserving and ideally increasing muscle mass and function. Whether AOM can safely achieve this goal is not established and underscores the importance of studying concomitant behavioral interventions.

Thus, the sparse available data would suggest that intentional weight loss by any means might be expected to be associated with HF bene fi t, although behavioral interventions are less effective, and invasive approaches may offer greater risk.

What is the mechanism of bene fi t from AOM in HFpEF?

Whether the bene fi ts of semaglutide and tirzepatide in obesity-related HF are attributable to weight loss or another mechanism distinct to the action of these therapies is not established and the subject of ongoing investigation ( NCT05371496 ). The extent of weight loss likely mediates bene fi t, 167 although there may be distinct mechanistic advantages given observed improvements in diastolic function 168 and reductions in left ventricular mass and paracrine adipose tissue. 69 Semaglutide and tirzepatide are also associated with favorable effects on high-sensitivity C-reactive protein, estimated glomerular fi ltration rate, urine albumin-creatinine ratio, NT-proBNP, and high-sensitivity troponin. 169

Furthermore, it is uncertain whether the encouraging fi ndings from STEP-HFpEF and SUMMIT will be con fi rmed with a statistically robust, long-term reduction in cardiovascular death and hospitalization for HF and whether such bene fi ts would be expected in those who are overweight (but who do not have obesity) or even be seen in those with normal BMI. 170

TABLE 5 Weight-Loss Medications Currently Undergoing Evaluation

||||Ongoing Trials|Ongoing Trials|Ongoing Trials| |---|---|---|---|---|---| |Medication| Mechanism of Action |Administration|Name|Population|| | Semaglutide|GLP-1RA|Oral| SOUL NCT03914326 | 9,650 persons with T2DM and either CKD or ASCVD (no BMI requirement) | Endpoints 14% reduction in a composite of cardiovascular death, nonfatal MI and nonfatal stroke161 | |Semaglutide|GLP-1RA| Subcutaneous| CAMEO-SEMA NCT05371496 | 81 persons with BMI ≥30 kg/m² and HFpEF| Change in PCWP during exercise Estimated completion, August 2026 | |Tirzepatide| GLP-1R/GIP RA | Subcutaneous| SURMOUNT-MMO NCT05556512 | 15,374 persons with BMI ≥27 kg/m² and established atherosclerotic disease | Composite endpoint of death, Ml, stroke, coronary revascularization and HF Estimated completion, October 2027 | |||| SURPASS-CVOT NCT04255433 | 13,299 persons with BMI ≥25 kg/m² and established ASCVD (vs dulaglutide) | Noninferiority study for a composite of cardiovascular death, Ml, and stroke Estimated completion, June 2025 | | Cagrilintide/ semaglutide | GLP-1RA/ amylin analogue | Subcutaneous| REDEFINE 3 NCT05669755 | Goal 7,000 persons with BMI ≥25 kg/m2 and ASCVD | Cardiovascular death, nonfatal MI, nonfatal stroke Estimated completion, October 2027 | | Orforglipron|GLP-1RA|Oral| ACHIEVE-4 NCT05803421 | 2,649 persons with BMI ≥25 kg/m2 and T2DM with ASCVD or CKD (vs insulin glargine) | Composite outcome of cardiovascular death, HF event, nonfatal Ml, nonfatal stroke, and hospitalization for unstable angina Estimated completion, January 2026 | | Danuglipron |GLP-1RA|Oral|NCT04707313| 628 persons with BMI ≥30 kg/m2 without T2DM | Not published, reported 11.7% weight loss at 32 wk in persons with obesity and without T2DM; 50% discontinuation | | Dapiglutide| GLP-1/GLP-2 RAs | Subcutaneous| DREAM NCT05788601 |54 persons with BMI ≥30 kg/m2| Not published; mean weight loss of up to 4.3% after 12 wk | |Survodutide| GLP1-R/GCG RA | Subcutaneous| SYNCHRONIZE- CVOT NCT06077864 | 4,935 persons with BMI ≥27 kg/m2 with ASCVD or 2 weight-related complications; or BMI ≥30 kg/m² with ASCVD or CKD or 2 weight-related complications | Composite outcome of cardiovascular death, nonfatal stroke, nonfatal Ml, coronary revascularization or HF event Estimated completion, July 2026 | |Retatrutide| GLP-1/GIP/ GCG RA | Subcutaneous| TRIUMPH-3 NCT05882045 | Goal1,800 persons with BMI ≥35 kg/m2 and ASCVD | Change in BMI Estimated completion, February 2026 | | Maridebart cafraglutide | GIP-RA and 2 GLP-1RAs | Subcutaneous (dosing monthly or less) | Maritime Program NCT05669599 | 592 persons with BMI ≥30 kg/m2 or BMI ≥27 kg/m2 with 1 weight-related comorbidity | Not published, reported ~20% weight reduction without plateau at 52 wk; 11% discontinuation | |Pemvidutide| GLP-1/GCG RA |Subcutaneous| MOMENTUM NCT05295875 | 391 persons with BMI ≥30 kg/m2 or BMI ≥27 kg/m2 with at least 1 obesity- related comorbidity and without T2DM | Not published, 15.6% weight loss at 48 wk, 78% from adipose tissue | |HU6| Controlled metabolic accelerator |Oral| HuMAIN-HFpEF NCT05284617 | 66 persons aged ≥30 y with BMI ≥30 kg/m2 | Reduction in body weight, total fat mass, and visceral adiposity while sparing skeletal muscle without improvement in peak volume of oxygen consumption162 |

ACHIEVE- $4=\mathsf{A}$ Daily Oral Orforglipron (LY3502970) Compared With Insulin Glargine in Partic ants With Type 2 Diabetes and Obesity or Overweight at Increased Cardiovascular Risk; ASCVD $\mathsf{A S C V D}=$ ¼ atherosclerotic cardiovascular disease; BMI ¼ body mass index; CAMEO-SEMA ¼ $=$ Evaluation of the Cardiac and Metabolic Effects of Semaglutide in Heart Failure With Preserved Ejection Fraction; ${\mathsf{C K D}}=$ chronic kidney disease; DREAM $=$ Dutch Randomized Endovascular Aneurysm Management; GCG RA $=$ glucagon receptor agonist; GIPRA ¼ glucose-dependent insulinotropic polypeptide receptor agonist; GLP-1RA $=$ glucagon-like peptide-1 receptor agonists; ${\mathsf{H F}}=$ heart failure; HFpEF $=$ heart failure with preserved ejection fraction; HuMAIN-HFpEF $=$ Exploratory Phase 2A, Double-Blind, Placebo-Controlled Dose Escalation Study of Safety, Tolerability, Pharmacodynamics, and Pharmacokinetics of HU6 for Subjects With Obese HFpEF; ${\mathsf{M I}}={\mathsf{\Gamma}}$ myocardial infarction; MOMENTUM $=$ Multicenter Study of MagLev Technology in Patients Undergoing Mechanical Circulatory Support Therapy with HeartMate 3; PCWP $=$ pulmonary capillary wedge pressure; REDEFINE $\mathtt{3}=\mathtt{A}$ Research Study to See the Effects of CagriSema in People Living With Diseases in the Heart and Blood Vessels; SOUL $=$ Se glutide Cardiovascular Outcomes Trial; SURMOUNT-MMO ¼ A Study of Tirzepatide (LY3298176) on the Reduction on Morbidity and Mortality in Adults With Obesity; SURPASS-CVOT $=$ ¼ The Effect of Tirzepatide Versus Dulaglutide on Major Adverse Cardiovascular Events in Patients With Type 2 Diabetes; SYNCHRONIZE-CVOT ¼ A Study to Test the Effect of Survodutide [BI 456906] on Cardiovascular Safety in People With Overweight or Obesity; T2DM ¼ type 2 diabetes mellitus; TRIUMPH- $\ {\boldsymbol{\cdot}}{\boldsymbol{3}}={\mathsf{A}}$ Study of Retatrutide (LY3437943) in Participants With Obesity and Cardiovascular Disease.

Will more potent AOM be associated with more weight loss and greater HF bene fi ts?

The dual GLP-1 receptor/GIP agonist tirzepatide is associated with greater weight loss than the single GLP-1 receptor agonist semaglutide. 4 , 5 , 171 A trial of individuals with obesity treated with tirzepatide or semaglutide (SURMOUNT-5; A Study of Tirzepatide in Participants

With Obesity or Overweight With Weight Related Comorbidities) reported that the average weight loss was greater in those treated with tirzepatide $\scriptstyle\left(20.2\%$ vs $13.7\%$ at 72 weeks) 171 ; this study did not speci fi cally assess individuals with HF. Additional therapies with different mechanisms of action are being explored ( Table 5 ). 172 It remains unclear at present whether more potent weight

loss effects would be expected to exert even more HF bene fi t and what degree weight loss will confer the greatest bene fi t; well-powered outcome trials are needed to answer these questions.

Will AOM improve outcome in individuals with HFrEF?

Beyond the relatively stable populations of study participants with HFpEF, the bene fi t of AOM is not clear. Given the potential gastrointestinal intolerances with possible deleterious effects on BP and volume status, a better understanding of safety and ef fi cacy of AOM in individuals with recently decompensated HF is needed.

Additionally, the potential effects of some AOM on those with HFrEF are of speci fi c importance. Two smaller trials in individuals with HFrEF using liraglutide, 125-127 and a post hoc analysis of individuals with T2DM and HF treated with exenatide raised concerns about the safety of GLP-1 receptor agonist in HFrEF, 173 possibly attributed to the increase in heart rate from these medications. 174 In contrast, larger cardiovascular outcomes trials did not identify risk for worse outcomes in those with HFrEF treated with liraglutide 175 or semaglutide. 130 Accordingly, the safety and ef fi cacy of AOM in those who have obesity in HFrEF requires further investigation.

What is the role of cardiometabolic clinic in HF care?

Cardiometabolic conditions encompass a spectrum of related systemic diseases, including obesity, T2DM, dyslipidemia, metabolic dysfunction – associated steatotic liver disease, and chronic kidney disease, all of which share common pathological mechanisms and signi fi cantly contribute to the risk and progression of HF. Cardiometabolic clinics serve as a dedicated, multidisciplinary platform for the early detection, prevention, and comprehensive management of these conditions to mitigate their cardiovascular impact. These clinics integrate cardiology, endocrinology, nutrition, and behavioral therapy involving physicians, advanced practice

professionals, pharmacists, and registered dieticians to optimize metabolic risk factors, personalize treatment strategies, including lifestyle interventions, pharmacotherapy (including titrating and tapering medications), and metabolic procedures, and provide structured followup to improve long-term outcomes.

By addressing the intersection of metabolic disease and HF, cardiometabolic clinics offer a targeted approach to improving symptom burden, functional status, and disease trajectory. However, widespread implementation remains challenging because of variations in clinical infrastructure, the need for standardized protocols, reimbursement limitations, and gaps in evidence guiding best practices for integration into HF care. Further research is needed to establish their role in routine management and optimize models of care delivery. 176

CONCLUSIONS

Obesity confers increased risks of HF, coronary artery disease, and stroke 1 , 2 and weight loss can reduce cardiovascular disease risk. 177 , 178 Given emerging evidence of the bene fi ts of semaglutide and tirzepatide in individuals with HFpEF and obesity in concert with healthy behavioral interventions, clinicians should be aware of optimal diagnosis, risk assessment, and management of obesity in individuals with HF. An essential future priority will be providing equitable access through policies and systems to ensure that individuals with adverse SDOH have access to evidence-based AOM, particularly so that we can avoid the unintended consequence of further exacerbating health inequities. 179 , 180 With accurate evaluation of obesity as well as administration and monitoring of safe and effective interventions, clinicians may improve quality of life and functional capacity and potentially reduce HF events in individuals living with HF and obesity.

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Faxén UL, Hallqvist L, Benson L, et al. Heart failure in patients undergoing elective and emergency noncardiac surgery: still a poorly addressed risk factor. J Card Fail . 2020;26:1034 – 1042 . 155. Huang YY, Chen L, Wright JD. Comparison of perioperative outcomes in heart failure patients with reduced versus preserved ejection fraction after noncardiac surgery. Ann Surg . 2022;275:807 – 815 . 156. Blumer V, Greene SJ, Ortiz M, et al. In-hospital outcomes after bariatric surgery in patients with heart failure. Am Heart J . 2020;230:59 – 62 . 157. Khan MS, Yuzefpolskaya M, Memon MM, et al. Outcomes associated with obesity in patients undergoing left ventricular assist device implantation: a systematic review and meta-analysis. ASAIO J . 2020;66:401 – 408 . 158. daSilva-deAbreu A, Alhafez BA, Curbelo-Pena Y, et al. Bariatric surgery in patients with obesity and ventricular assist devices considered for heart transplantation: systematic review and individual participant data meta-analysis. J Card Fail . 2021;27:338 – 348 . 159. Cimino G, Vaduganathan M, Lombardi CM, et al. Obesity, heart failure with preserved ejection fraction, and the role of glucagon-like peptide-1 receptor agonists. ESC Heart Fail . 2024;11:649 – 661 . 160. Harrington J, Sattar N, Felker GM, et al. Putting more weight on obesity trials in heart failure. Curr Heart Fail Rep . 2024;21:194 – 202 . 161. McGuire DK, Marx N, Mulvagh SL, et al. Oral semaglutide and cardiovascular outcomes in high-risk type 2 diabetes. N Engl J Med . Published online March 29, 2025. https://doi.org/10.1056/NEJMoa2501006 162. Pandey A, Lewis GD, Borlaug BA, et al. Novel controlled metabolic accelerator for obesity-related HFpEF: the HuMAIN-HFpEF randomized clinical trial. JAMA Cardiology . 2025. https://doi.org/10.1001/ jamacardio.2025.0103 . Published online ahead of print March 12, 2025. 163. Liu C, Wong PY, Chung YL, et al. Deciphering the "obesity paradox" in the elderly: a systematic review and meta-analysis of sarcopenic obesity. Obes Rev . 2023;24:e13534 . 164. Prado CM, Batsis JA, Donini LM, et al. Sarcopenic obesity in older adults: a clinical overview. Nat Rev Endocrinol . 2024;20:261 – 277 . 165. Jastreboff AM, Aronne LJ, Ahmad NN, et al. Tirzepatide once weekly for the treatment of obesity. N Engl J Med . 2022;387:205 – 216 . 166. Wilding JPH, Batterham RL, Calanna S, et al. Once-weekly semaglutide in adults with overweight or obesity. N Engl J Med . 2021;384:989 – 1002 . 167. Borlaug BA, Kitzman DW, Davies MJ, et al. Semaglutide in HFpEF across obesity class and by body weight reduction: a prespeci fi ed analysis of the STEPHFpEF trial. Nat Med . 2023;29:2358 – 2365 . 168. Solomon SD, Ostrominski JW, Wang X, et al. Effect of semaglutide on cardiac structure and function in patients with obesity-related heart failure. J Am Coll Cardiol . 2024;84:1587 – 1602 . 169. Borlaug BA, Zile MR, Kramer CM, et al. Effects of tirzepatide on circulatory overload and end-organ damage in heart failure with preserved ejection fraction and obesity: a secondary analysis of the SUMMIT trial. Nat Med . 2025;31:544 – 551 . 170. Khan MS, Fonarow GC, McGuire DK, et al. Glucagon-like peptide 1 receptor agonists and heart failure: the need for further evidence generation and practice guidelines optimization. Circulation . 2020;142: 1205 – 1218 . 171. Rodriguez PJ, Goodwin Cartwright BM, Gratzl S, et al. Semaglutide vs tirzepatide for weight loss in adults with overweight or obesity. JAMA Intern Med . 2024;184:1056 – 1064 . 172. Harrington J, Felker GM, Januzzi JL, et al. Worth their weight? An update on new and emerging pharmacologic agents for obesity and their potential role for persons with cardiac conditions. 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![J A C C V O L . JACCVOL. - ,NO. , N O . - , 2 0 2 5 2025 - , 2 0 2 5 : 2025: - – - ](https://venus-trag-1258344701.cos-internal.ap-guangzhou.tencentcos.cn/userUpload/is-62e36cd9/2025-06-20/4c4bd7a2-3350-4df2-9f9e-fc4fc52e3703/4c4bd7a2-3350-4df2-9f9e-fc4fc52e3703.jpg?q-sign-algorithm=sha1&q-ak=AKID61g5D5fy1TjiRv84nEOHtFJ8gyzjCPL0&q-sign-time=1750420344%3B1750423944&q-key-time=1750420344%3B1750423944&q-header-list=host&q-url-param-list=&q-signature=12ce3888c37223f6ddf63e20e9fb9b5f5da289e1) J A C C V O L . - , N O . - , 2 0 2 5 - , 2 0 2 5 : - – -

APPENDIX 1. AUTHOR RELATIONSHIPS WITH INDUSTRY AND OTHER ENTITIES (RELEVANT) — 2025 ACC SCIENTIFIC STATEMENT ON THE MANAGEMENT OF OBESITY IN ADULTS WITH HEART FAILURE

| Committee Member |Employment|Consultant|| Speakers Bureau | Ownership/ Partnership/ Principal | Personal Research | Institutional, Organizational, or Other Financial Beneft | Expert Witness | |---|---|---|---|---|---|---|---|---| | Michelle M. Kittleson, Chair | Smidt Heart Institute, Cedars-Sinai Medical Center-Professor of Medicine and Director of Education in Heart Failure and |None||None|None|None|None|None| | Emelia J. Benjamin | Center-Jay and Louise Coffman Professor in Vascular Medicine at Boston University Chobanian Avedisian School of Medicine; Boston University School of Public Health ||None|None|None|None|None|None| ||||||None|||| |Vanessa Blumer| Inova Schar Heart and Vascular Institute- Associate Program Director, Cardiology Fellowship; Associate Director, Heart Failure Research; Advanced Heart Failure and Transplant Cardiologist |None||None||None|None|None| | Josephine Harrington | University of Colorado Anschutz Medical Campus-Assistant Professor, Medicine- Cardiology | Novo Nordisk Inc.* ||None|None|None|None|None| ||| ■ Abbott Laboratories ||||■Abbott||| | James L. Januzzi||■| Abiomed AstraZeneca* |None| None ■ | Laboratories* 1AbbVie, Inc. DSMB* | ■Imbria* ■ Jana Care* |None| || -Hutter Family Professor of Medicine; Baim Institute for Clinical Research, Harvard- Chief Scientific Offcer; Massachusetts General | ■ ■ | Eli Lilly Novartis* ||■| Bayer Healthcare Pharmaceuticals (DSMB) ||| ||| ■ ■ ■ ■ | Prevencio* Roche ||■| CVRx(DSMB)* Janssen Pharma- ||| || Massachusetts General Hospital Cardiology Division ||Siemens||■| Janssen Pharma- ceuticals, Inc.* ■Medtronic ||| |||■||||Takeda Pharma-||| ||||||■| ceuticals North American, Inc. (DSMB)* |||

| Committee Member |||Consultant|Consultant| Speakers Bureau | Ownership/ Partnership/ Principat ||| Institutional, Organizational, orOther | orOther Financial Benefit ||| |---|---|---|---|---|---|---|---|---|---|---|---|---| | Committee Member |Employment|■|||||| Personal Research ||| Expert Witness || | John J.V. McMurray ||| Alynylam Pharmaceuticals |■| AstraZeneca Pharmaceuticals |None|| ■Novartis Corporation*+ |■| Alynylam Pharmaceuticalst |None|| | John J.V. McMurray | British Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow- |■|AnaCardio|■|Centrix||■|Roche Pharma*+||AstraZeneca||| | John J.V. McMurray ||■| AstraZeneca Pharmaceuticals ||Healthcare*||■||■|Pharmaceuticals*+||| | John J.V. McMurray ||||■|Hikma||| WCG Clinical Ser- vices DSMB |■|||| | John J.V. McMurray | Research Centre, University of Glasgow- Professor of Medical |■|Bayer Health-||Pharmaceuticals|||||||| | John J.V. McMurray | Cardiology|| care Pharmaceuticals | ■ ■ | IMEDIC Pharma Intas ||||■| Bayer Healthcare Pharmaceuticalst Carduriont Cytokinetics*+ Global Clinical ||| | John J.V. McMurray ||■| Biohaven Pharma ||||||■| Cytokinetics*+ Global Clinical Trial Partners ||| | John J.V. McMurray ||| Pharma Cardurion |■| Pharmaceuticals Lupin Pharma- Lupin Pharma- ceuticals, Inc. ||||■| Trial Partners Ltd.* ||| ||| ■ ■ | Chugai Pharma.|■||||||||| |||■|Cytokinetics|| ProAdWise Communications |||||||| |||■| DalCor Pharma. Medscape/ |■| Radcliffe|||||||| |||■| Medscape/ Heart Org. || Cardiology Sun |||||||| |||||■||||||||| |||| ■Novartis Corporation || Pharmaceuticals Translational |||||||| |||■| Protherics Medicine |■||||||||| |||| Developments Ltd. ||Academy|||||||| ||||Regeneron|||||||||| |||| Pharmaceuticals River Biomedics |||||||||| |Amanda R. Vest|| ■ ■ |None||None|None||||None|None|| |Amanda R. Vest| Cleveland Clinic- Section Head, Heart Failure Transplant Cardiology, Heart, Vascular and Thoracic Institute |||||||None||||| |Amanda R. Vest||||||||||||| |Amanda R. Vest||||||||||||| |Amanda R. Vest||||||||||||| |Amanda R. Vest|||||||||||||

This table represents the relationships of committee members with industry and other entities that were determined to be relevant to this document. These relationships were reviewed and updated in conjunction with all meetings and/or conference calls of the writing committee during the document development process. The table does not necessarily re fl ect relationships with industry at the time of publication. A person is deemed to have a signi fi cant interest in a business if the interest represents ownership of ${\geq}5\%$ of the voting stock or share of the business entity or ownership of $\scriptstyle{\geq\!\oint5,000}$ of the fair market value of the business entity; or if funds received by the person from the business entity exceed $5\%$ of the person ’ s gross income for the previous year. Relationships that exist with no fi nancial bene fi t are also included for the purpose of transparency. Relationships in this table are modest unless otherwise noted. According to the ACC, a person has a relevant relationship IF: a) the relationship or interest relates to the same or similar subject matter, intellectual property or asset, topic, or issue addressed in the document; b) the company/entity (with whom the relationship exists) makes a drug, drug class, or device addressed in the document or makes a competing drug or device addressed in the document; or c) the person or a member of the person ’ s household has a reasonable potential for fi nancial, professional, or other personal gain or loss as a result of the issues/content addressed in the document. For the purposes of full transparency, the authors ’ comprehensive disclosure information is available in a Supplemental Appendix .

\*Signi fi cant relationship.

† No fi nancial bene fi t.

ACC ¼ American College of Cardiology; DSMB $=$ data and safety monitoring board.

J A C C V O L . - , N O . - , 2 0 2 5 - , 2 0 2 5 : - – -

APPENDIX 2. REVIEWER RELATIONSHIPS WITH INDUSTRY AND OTHER ENTITIES (COMPREHENSIVE) — 2025 ACC SCIENTIFIC STATEMENT ON THE MANAGEMENT OF OBESITY IN ADULTS WITH HEART FAILURE

||||| Speakers Bureau || Ownership/ Partnership/ Principal | Personal Research || Institutional, Organizational, or Other Financial Benefit || |---|---|---|---|---|---|---|---|---|---|---| |Reviewer|Employment||Consultant|||||||| |Barry Borlaug,| Mayo Clinic-Professor of Medicine |■|1Axon*|None||None| ■AstraZeneca Pharmaceuticals* | Pharmaceuticals* Corvia* Department of Defense* Medtronic* |None|None| |MD, FACC| Mayo Clinic-Professor of Medicine | ■ | Boehringer Ingelheim Phar- Ingelheim Phar- maceuticals, Inc*maceuticals, Inc* BridgeBioBridgeBio Pharmacy* Edwards* |||None|||None|| |MD, FACC||||||None| Defense* Medtronic* NIH/NHLBI* Novo Nordisk ||None|| |||■| Edwards* Eli Lilly and Eli Lilly and Company* |||||||| |||■| Company* Janssen Pharma- ceuticals, Inc.* |||| ■Rivus* ■Tenax* |||| |||■||||||||| ||| ■ ■ | ceuticals, Inc.* Merck Co., Inc.* NGMBio* |||||||| |||||||||||| ||||1VADovationst|||||||None| | Rudolf A. de Boer. MD. PhD | Erasmus MC, Department of Cardiology, Rotterdam-Chair and Professor of Cardiology |■| Bristol-Myers Squibb Company | ■ Abbott Laboratories AstraZeneca Pharmaceuticals ||None| ■Abbott Laboratoriest |||| || Erasmus MC, Department of Cardiology, Rotterdam-Chair and Professor of Cardiology |■|Novo Nordisk Inc.|||| ■Alnylam* ■AstraZeneca* |■| Councilt 1Netherlands Heart || ||||Novo Nordisk Inc.|||| Company* ■Novo Nordisk Inc.* |Foundationt||| | Olivia Gilbert, MD, MSc | Wake Forest University School of Medicine- Associate Professor, Cardiovascular Medicine ||Novo Nordisk Inc.|||||||| ||||Novo Nordisk Inc.||None|None|None||None|None| | Carl J. Lavie Jr., MD, FACC ||| ■Amgen Inc.* AstraZeneca Pharmaceuticals Diagnostic and Statistical Manual of Mental Disorders Esperion || ■Amgen* AstraZeneca Esperion |None| ■Novo Nordisk Inc.(DSMB)* ||None| Testosterone replacement therapy and cardiovascular disease, 2023- 2024, Defense* | || Ochsner Heart and Vascular Institute, Ochsner Clinical School-Medical Director, Cardiac Rehabilitation and Preventive Cardiology |||||||||| || Ochsner Heart and Vascular Institute, Ochsner Clinical School-Medical Director, Cardiac Rehabilitation and Preventive Cardiology ||||||||||

This table re fl ects all relationships with industry and other entities as disclosed by the reviewers at the time of document review, including those not deemed relevant to this document. The table does not necessarily re fl ect relationships with industry at the time of publication. A person is deemed to have a signi fi cant interest in a business if the interest represents ownership of ${\geq}5\%$ of the voting stock or share of the business entity, or ownership of $\scriptstyle{\geq\!\Phi5,000}$ of the fair market value of the business entity; or if funds received by the person from the business entity exceed $5\%$ of the person ’ s gross income for the previous year. Relationships that exist with no fi nancial bene fi t are also included for the purpose of transparency. Relationships in this table are modest unless otherwise noted. Please refer to https://www.acc.org/Guidelines/About-Guidelines-and-Clinical-Documents/Relationshipswith-Industry-Policy for de fi nitions of disclosure categories or additional information about the ACC Disclosure Policy for Writing Committees. \*Signi fi cant relationship.

† No fi nancial bene fi t.

ACC ¼ American College of Cardiology; DSMB ¼ data and safety monitoring board; NHLBI $=$ National Heart, Lung, and Blood Institute; $\mathsf{N H}=$ National Institutes of Health.

表 1
Epidemiology of obesity in HF
Avoidance of excess adiposity throughout the lifespan is key to the prevention of
The "HF obesity survival paradox" in part represents the negative implications of unintentional weight loss.
Obesity treatments offer opportunities for improved HF symptom burden, functional capacity, quality of life, and hospitalizations.
Diagnosis of obesity
that is strongly embedded in research and clinical practice, significant limitations exist in the detection of excess adiposity, the location of adiposity, and applicability to diverse populations.
To determine a diagnosis of clinical obesity in individuals with BMI
表 2
AbbreviationMeaning/Phrase
AOManti-obesity medications
BMIbody mass index
BNPB-type natriuretic peptide
EFejection fraction
EMBTendoscopic metabolic and bariatric therapies
FDAU.S. Food and Drug Administration
GIPglucose-dependent insulinotropic polypeptide
GLP-1glucagon-like peptide-1
HbA1chemoglobin A1c
HFheart failure
HFpEFheart failure with preserved ejection fraction
HFrEFheart failure with reduced ejection fraction
LVADleft ventricular assist device
MBSmetabolic and bariatric surgery
MImyocardial infarction
NPnatriuretic peptides
NT-proBNPN-terminal pro-B-type natriuretic peptide
PAFpopulation attributable fraction
PCWPpulmonary capillary wedge pressure
SDOHsocial drivers of health
T2DMtype 2 diabetes mellitus
表 3
TABLE 2Strengths and Weaknesses of Adiposity Assessment Techniques in Individuals With HF
TechniqueStrengthsWeaknesses
Body weight and BM19,3-59,61■Low cost ■Portable ■Nonionizing■Does not perform well across racial/ethnic and sex groups Does not distinguish fat mass specifically or location of adiposity 1Variable patient
Waist circumference,■Quick
waist-to-hip ratio, waist-to-heightLow cost Portable ■NonionizingAbdominal circumfer- ence may be increased
Low cost Portable ■Nonionizing■[
during fluid retention Differential prog- nostic performance of these indices across HF phenotypes and
these indices across HF phenotypes and cohorts
■acceptability
Bioelectrical impedance analysi575-7 8■Low cost ■Nonionizing ■Validation of use■Validation of use specific to HF■lable with all implantable HF devices
1 Safety data available for transvenous pacemaker and def- brillator devicesdevices Sex-specific normal ranges not fully established
Bioelectrical impedance■Nonionizing ■ Segmental body compartment anal- ysis possible Validation of use■Pending safety data with implanted cardiac devices
Whole-body dual X-ray absorptiometry82
Whole-body dual X-ray absorptiometry82■Low radiation dose 1Sex-specifc normal ranges established1Intermediate cost ■lonizing (low-dose radiation) Nonportable
■Nonportable Not widely accessible Fat mass normal ranges not HF specific Assessment of regional adiposity dependent on
■lonizing
CT83,84■Good spatial resolution
■ Comprehensive assessment of regional adiposityNonportable Sex-specific normal ranges not fully established
MRI85■ Good spatial resolution■
MRI85resolution Comprehensive assessment of regional adiposity■Nonportable ■ Contraindicated with some implanted cardiac devices ■ Sex-specifc normal ranges not fully
MRI85■Nonionizingcardiac devices Sex-specifc normal ranges not fully established
MRI85Air displacement plethysmography86
■High-fidelity assess- ment of body composition ■Nonionizingment of body composition ■Nonionizing ■Quick
Sealed chamber may not be safe for individuals with HF ■1Fat mass normal ranges are not HF specific
表 4
STEP-HFpEF (N = 1,145)SUMMIT (N = 731)
Trial design
Inclusion criteria
Age, y≥1840
LVEF, %≥45≥50
NYHA functional classII-IVII-IV
KCCQ-CSS
表 5
TABLE3 ContinuedTABLE3 ContinuedTABLE3 Continued
STEP-HFpEF SUMMIT (N = 1,145) (N = 731)
OutcomesOutcomesOutcomes
Follow-up, wk Fixed 52 Median 104
Placebo-corrected mean change (95% CI)
KCCQ-CSS points (out of 100)7.5 (5.3-9.8)6.9 (3.3-10.6)
Weight, %-8.4 (-9.2 to -7.5)-11.6 (-12.9 to -10.4)
6MWD, m17.1 (9.2-25.0)18.3 (9.9-26.7)
Waist circumference, cm-7.6 (-8.7 to -6.6)N/A
Systolic BP, mmHg-2.9 (-4.9 to 0.9)-4.7 (-6.8 to -2.5)
hs-CRP, %-36 (-44 to -28)-35 (-46 to -22)
NT-proBNP, %-8 (-26 to -9) -10 (-21 to 1)
Clinical eventsClinical eventsClinical events
First HF event, active vs placebo, n 8 vs 30 29 vs 52
HR (95% CI) 0.27 (0.12-0.56) 0.54 (0.34-0.85)
First HF event or CV death, active vs 10 vs 32t 36 vs 56 placebo, n
HR (95% CI) 0.31 (0.15-0.62)0.62 (0.41-0.95)
Cardiovascular death, active vs placebo, n 2 vs 5 8 vs 5
All-cause death, active vs placebo, n 8 vs 14 19 vs 15
表 6
TABLE 4
FDA-approved indicationsBenefits based on clinical trialsUse with cautionUse with cautionContraindications
Semaglutide■Adults■FPersonal orfamilyhistory ofmedullarythy- roid cancer
■CVD and either obesity or■1NYHA functional class Il-IV■HF with EF
表 7
Ongoing TrialsOngoing TrialsOngoing Trials
MedicationMechanism of ActionAdministrationNamePopulation
SemaglutideGLP-1RAOralSOUL NCT039143269,650 persons with T2DM and either CKD or ASCVD (no BMI requirement)Endpoints 14% reduction in a composite of cardiovascular death, nonfatal MI and nonfatal stroke161
SemaglutideGLP-1RASubcutaneousCAMEO-SEMA NCT0537149681 persons with BMI ≥30 kg/m² and HFpEFChange in PCWP during exercise Estimated completion, August 2026
TirzepatideGLP-1R/GIP RASubcutaneousSURMOUNT-MMO NCT0555651215,374 persons with BMI ≥27 kg/m² and established atherosclerotic diseaseComposite endpoint of death, Ml, stroke, coronary revascularization and HF Estimated completion, October 2027
SURPASS-CVOT NCT0425543313,299 persons with BMI ≥25 kg/m² and established ASCVD (vs dulaglutide)Noninferiority study for a composite of cardiovascular death, Ml, and stroke Estimated completion, June 2025
Cagrilintide/ semaglutideGLP-1RA/ amylin analogueSubcutaneousREDEFINE 3 NCT05669755Goal 7,000 persons with BMI ≥25 kg/m2 and ASCVDCardiovascular death, nonfatal MI, nonfatal stroke Estimated completion, October 2027
OrforglipronGLP-1RAOralACHIEVE-4 NCT058034212,649 persons with BMI ≥25 kg/m2 and T2DM with ASCVD or CKD (vs insulin glargine)Composite outcome of cardiovascular death, HF event, nonfatal Ml, nonfatal stroke, and hospitalization for unstable angina Estimated completion, January 2026
DanuglipronGLP-1RAOralNCT04707313628 persons with BMI ≥30 kg/m2 without T2DMNot published, reported 11.7% weight loss at 32 wk in persons with obesity and without T2DM; 50% discontinuation
DapiglutideGLP-1/GLP-2 RAsSubcutaneousDREAM NCT0578860154 persons with BMI ≥30 kg/m2Not published; mean weight loss of up to 4.3% after 12 wk
SurvodutideGLP1-R/GCG RASubcutaneousSYNCHRONIZE- CVOT NCT060778644,935 persons with BMI ≥27 kg/m2 with ASCVD or 2 weight-related complications; or BMI ≥30 kg/m² with ASCVD or CKD or 2 weight-related complicationsComposite outcome of cardiovascular death, nonfatal stroke, nonfatal Ml, coronary revascularization or HF event Estimated completion, July 2026
RetatrutideGLP-1/GIP/ GCG RASubcutaneousTRIUMPH-3 NCT05882045Goal1,800 persons with BMI ≥35 kg/m2 and ASCVDChange in BMI Estimated completion, February 2026
Maridebart cafraglutideGIP-RA and 2 GLP-1RAsSubcutaneous (dosing monthly or less)Maritime Program NCT05669599592 persons with BMI ≥30 kg/m2 or BMI ≥27 kg/m2 with 1 weight-related comorbidityNot published, reported ~20% weight reduction without plateau at 52 wk; 11% discontinuation
PemvidutideGLP-1/GCG RASubcutaneousMOMENTUM NCT05295875391 persons with BMI ≥30 kg/m2 or BMI ≥27 kg/m2 with at least 1 obesity- related comorbidity and without T2DMNot published, 15.6% weight loss at 48 wk, 78% from adipose tissue
HU6Controlled metabolic acceleratorOralHuMAIN-HFpEF NCT0528461766 persons aged ≥30 y with BMI ≥30 kg/m2Reduction in body weight, total fat mass, and visceral adiposity while sparing skeletal muscle without improvement in peak volume of oxygen consumption162
表 8
Committee MemberEmploymentConsultantSpeakers BureauOwnership/ Partnership/ PrincipalPersonal ResearchInstitutional, Organizational, or Other Financial BeneftExpert Witness
Michelle M. Kittleson, ChairSmidt Heart Institute, Cedars-Sinai Medical Center-Professor of Medicine and Director of Education in Heart Failure andNoneNoneNoneNoneNoneNone
Emelia J. BenjaminCenter-Jay and Louise Coffman Professor in Vascular Medicine at Boston University Chobanian Avedisian School of Medicine; Boston University School of Public HealthNoneNoneNoneNoneNoneNone
None
Vanessa BlumerInova Schar Heart and Vascular Institute- Associate Program Director, Cardiology Fellowship; Associate Director, Heart Failure Research; Advanced Heart Failure and Transplant CardiologistNoneNoneNoneNoneNone
Josephine HarringtonUniversity of Colorado Anschutz Medical Campus-Assistant Professor, Medicine- CardiologyNovo Nordisk Inc.*NoneNoneNoneNoneNone
■ Abbott Laboratories■Abbott
James L. Januzzi■Abiomed AstraZeneca*NoneNone ■Laboratories* 1AbbVie, Inc. DSMB*■Imbria* ■ Jana Care*None
-Hutter Family Professor of Medicine; Baim Institute for Clinical Research, Harvard- Chief Scientific Offcer; Massachusetts General■ ■Eli Lilly Novartis*■Bayer Healthcare Pharmaceuticals (DSMB)
■ ■ ■ ■Prevencio* Roche■CVRx(DSMB)* Janssen Pharma-
Massachusetts General Hospital Cardiology DivisionSiemens■Janssen Pharma- ceuticals, Inc.* ■Medtronic
■Takeda Pharma-
■ceuticals North American, Inc. (DSMB)*
表 9
Committee MemberConsultantConsultantSpeakers BureauOwnership/ Partnership/ PrincipatInstitutional, Organizational, orOtherorOther Financial Benefit
Committee MemberEmployment■Personal ResearchExpert Witness
John J.V. McMurrayAlynylam Pharmaceuticals■AstraZeneca PharmaceuticalsNone■Novartis Corporation*+■Alynylam PharmaceuticalstNone
John J.V. McMurrayBritish Heart Foundation Glasgow Cardiovascular Research Centre, University of Glasgow-■AnaCardio■Centrix■Roche Pharma*+AstraZeneca
John J.V. McMurray■AstraZeneca PharmaceuticalsHealthcare*■■Pharmaceuticals*+
John J.V. McMurray■HikmaWCG Clinical Ser- vices DSMB■
John J.V. McMurrayResearch Centre, University of Glasgow- Professor of Medical■Bayer Health-Pharmaceuticals
John J.V. McMurrayCardiologycare Pharmaceuticals■ ■IMEDIC Pharma Intas■Bayer Healthcare Pharmaceuticalst Carduriont Cytokinetics*+ Global Clinical
John J.V. McMurray■Biohaven Pharma■Cytokinetics*+ Global Clinical Trial Partners
John J.V. McMurrayPharma Cardurion■Pharmaceuticals Lupin Pharma- Lupin Pharma- ceuticals, Inc.■Trial Partners Ltd.*
■ ■Chugai Pharma.■
■CytokineticsProAdWise Communications
■DalCor Pharma. Medscape/■Radcliffe
■Medscape/ Heart Org.Cardiology Sun
■
■Novartis CorporationPharmaceuticals Translational
■Protherics Medicine■
Developments Ltd.Academy
Regeneron
Pharmaceuticals River Biomedics
Amanda R. Vest■ ■NoneNoneNoneNoneNone
Amanda R. VestCleveland Clinic- Section Head, Heart Failure Transplant Cardiology, Heart, Vascular and Thoracic InstituteNone
Amanda R. Vest
Amanda R. Vest
Amanda R. Vest
Amanda R. Vest
表 10
Speakers BureauOwnership/ Partnership/ PrincipalPersonal ResearchInstitutional, Organizational, or Other Financial Benefit
ReviewerEmploymentConsultant
Barry Borlaug,Mayo Clinic-Professor of Medicine■1Axon*NoneNone■AstraZeneca Pharmaceuticals*Pharmaceuticals* Corvia* Department of Defense* Medtronic*NoneNone
MD, FACCMayo Clinic-Professor of Medicine■Boehringer Ingelheim Phar- Ingelheim Phar- maceuticals, Inc*maceuticals, Inc* BridgeBioBridgeBio Pharmacy* Edwards*NoneNone
MD, FACCNoneDefense* Medtronic* NIH/NHLBI* Novo NordiskNone
■Edwards* Eli Lilly and Eli Lilly and Company*
■Company* Janssen Pharma- ceuticals, Inc.*■Rivus* ■Tenax*
■
■ ■ceuticals, Inc.* Merck Co., Inc.* NGMBio*
1VADovationstNone
Rudolf A. de Boer. MD. PhDErasmus MC, Department of Cardiology, Rotterdam-Chair and Professor of Cardiology■Bristol-Myers Squibb Company■ Abbott Laboratories AstraZeneca PharmaceuticalsNone■Abbott Laboratoriest
Erasmus MC, Department of Cardiology, Rotterdam-Chair and Professor of Cardiology■Novo Nordisk Inc.■Alnylam* ■AstraZeneca*■Councilt 1Netherlands Heart
Novo Nordisk Inc.Company* ■Novo Nordisk Inc.*Foundationt
Olivia Gilbert, MD, MScWake Forest University School of Medicine- Associate Professor, Cardiovascular MedicineNovo Nordisk Inc.
Novo Nordisk Inc.NoneNoneNoneNoneNone
Carl J. Lavie Jr., MD, FACC■Amgen Inc.* AstraZeneca Pharmaceuticals Diagnostic and Statistical Manual of Mental Disorders Esperion■Amgen* AstraZeneca EsperionNone■Novo Nordisk Inc.(DSMB)*NoneTestosterone replacement therapy and cardiovascular disease, 2023- 2024, Defense*
Ochsner Heart and Vascular Institute, Ochsner Clinical School-Medical Director, Cardiac Rehabilitation and Preventive Cardiology
Ochsner Heart and Vascular Institute, Ochsner Clinical School-Medical Director, Cardiac Rehabilitation and Preventive Cardiology
图示:FIGURE 1 Diagnosis of Obesity in HF Based on the Lancet Diabetes and Endocrinology Commission19 FIGURE 1 Diagnosis of Obesity in HF Based on the Lancet Diabetes and Endocrinology Commission 19 Evidenceofexcessadiposity\* Evidence of excess adiposity\* • Elevated BMI plus at least 1 abnormal anthropometric index ·Elevated BMl plus at least 1 abnormal anthropometric index ·Elevated BMl plus excess fat by direct measurement (Table 2) • Elevated BMI plus excess fat by direct measurement (Table 2) ·BMl>35kg/m2 • BMI >35 kg/m 2 Evidence of HF Evidence of HF HF with preserved EF HF with preserved EF HFwithreduced EF HF with reduced EF HF with reduced EF HF with reduced EF ·Cardiacdysfunction • Cardiac dysfunction ·Etiologypathophysiologically • Etiology pathophysiologically · Etiology unrelated to obesity • Etiology unrelated to obesity attributed to excess adiposity attributed to excess adiposity linked to obesity linked to obesity ·No other evidence of obesity- • No other evidence of obesityrelatedorgandysfunction related organ dysfunction Clinical Obesity Clinical Obesity Preclinical Obesity Preclinical Obesity \*Thresholds for excess adiposity in figure legend \*Th
图示:Weight Loss Strategies in Heart Failure Behavioral Changes: Anti-Obesity Metabolic and Bariatic Diet and Exercise Medications Surgery 5%-10%weightloss 10%-20%weightloss 10%-30%weightloss Exercise and caloricrestriction Weight regain with cessation Weightlossoftensustained withadditiveweightlosseffect of anti-obesity medications overyears No randomized data in HF Weightlossdifficulttosustain Semaglutide: with significant regain ·Signficant improvement in Observational data suggests overtime functional status and symptom thatMBS: burden in HFpEF ·Reduces risk of incident HF ·ReducedratesofMACEand ·Decreasesrates of HF Limited data in HF, HF hospitalization in HF\* hospitalization and butsuccessful weight loss inpatient mortality associatedwithimproved Tirzepatide-additionalbenefit: functionalstatusand ReducedriskforCVdeathor Individuals with HF, reducedsymptomburden HF events in HFpEF (low event especiallyHFrEF,mayhave in HFpEF rates prevent conclusive higherrates ofcomplications assessment) with surgery \*Secondary analysis
图示:Pre-initiation Pre-initiation During dose escalation During dose escalation Long-term follow-up Long-term follow-up · Confrm HF stability with • Confirm HF stability with • Titration every 4 wk ·Titration every 4 wk · Ongoing volume assessment • Ongoing volume assessment volume and arrhythmia volume and arrhythmia • Monitor for GI adverse effects · Monitor for Gl adverse effects every 3-6 mo every 3-6 mo assessment assessment which may affect volume status which may affect volume status ·Monitor control of diabetes • Monitor control of diabetes · Provide education • Provide education and kidney function and kidney function · If <5% weight loss, consider • If <5% weight loss, consider • Store in refrigerator to · Store in refrigerator to · Stop and report abdominal pain • Stop and report abdominal pain alternative treatment strategy alternative treatment strategy maintain stability maintain stability (possible pancreatitis or (possible pancreatitis or · Stop if pregnant • Stop if pregnant • Inject under skin of abdomen, · Inject under skin of abdomen, gallbladder disease) gallbladder disease) · Report lump in the neck, • Report lump in the neck, thigh, upper arm thigh, upper arm · Stop and report swelling of face, • Stop and report swelling of face, hoarseness, or dysphagia hoarseness, or dysphagia • Inject one day of the week · Inject one day of the week lips, tongue, or throat, rash, or lips, tongue, or throat, rash, or (possible thyroid tumors) (possible thyroid tumors) (same day each week), any (same day each week), any itching (possible hypersensitivity itching (possible hypersensitivity · Report symptoms of • Report symptoms of time of day time of day reaction) reaction) hypoglycemia (if diabetes) or hypoglycemia (if diabetes) or change in vision (if diabetes- change in vision (if diabetes- related retinopathy) related retinopathy) Semaglutide Semaglutide 2.4 mg 2.4 mg Tirzepatide Tirzepatide 15.0 mg 15.0 mg 12.5 12.5 1.7 1.7 10.0 10.0 1.0 1.0 7.5 7.5 0.5 0.5 5.0 5.0 0.25 0.25 2.5 2.5 0 0 4 4 8 8 12 12 16 16 0 0 4 4 8 8 12 12 1620 16 20 Weeks Weeks Weeks Weeks anti-obesity medications; gastrointestinal; heart failure.
图示:J A C C V O L . JACCVOL. - ,NO. , N O . - , 2 0 2 5 2025 - , 2 0 2 5 : 2025: - – -
图示:J A C C V O L . JACCVOL. - ,NO. , N O . - , 2 0 2 5 2025 - , 2 0 2 5 : 2025: - – -

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2025 ACC科学声明:成人心力衰竭患者肥胖的管理. 2025.