Update on Obesity and Obesity Paradox in Heart Failure

Carl J Lavie1, Abhishek Sharma2, Martin A Alpert3

  • 1Department of Cardiovascular Diseases, John Ochsner Heart and Vascular Institute, Ochsner Clinical School-University of Queensland School of Medicine, New Orleans, LA.

Insights

Obesity impacts heart health, increasing heart failure (HF) risk. However, overweight and obese patients with HF may have a better short-term prognosis, a phenomenon known as the obesity paradox.

Area of Science:

  • Cardiology
  • Obesity Medicine
  • Public Health

Background:

  • Obesity is a global epidemic with significant cardiovascular implications.
  • Overweight and obesity negatively affect cardiac structure and function, particularly left ventricular diastolic function.
  • Obesity is associated with an increased prevalence of heart failure (HF).

Purpose of the Study:

  • To review the current understanding of the relationship between obesity and heart failure.
  • To discuss the obesity paradox in heart failure patients.
  • To highlight the need for further research on weight loss interventions in HF.

Main Methods:

  • Literature review of studies on obesity, cardiac function, and heart failure.
  • Analysis of data from large cohorts examining HF prognosis in relation to body mass index.
  • Synthesis of evidence regarding the impact of weight loss on HF outcomes.

Main Results:

  • Obesity adversely affects cardiac structure and function, increasing HF prevalence.
  • An obesity paradox exists, with overweight/obese HF patients showing better short-term prognosis than lean patients.
  • Weight loss improves cardiac function and HF symptoms, but its effect on clinical events remains understudied.

Conclusions:

  • The obesity paradox in heart failure warrants further investigation.
  • Optimal body composition for HF patients requires more research, especially concerning the long-term effects of weight loss on clinical outcomes.
  • Definitive guidelines on weight management in HF are currently limited due to a lack of large-scale clinical event studies.

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