Journal of the American Society of Echocardiography
Volume 21, Issue 1 , Pages 66-71, January 2008

Prognostic Implications of Relations of Left Ventricular Systolic Dysfunction with Body Composition and Myocardial Energy Expenditure: The Strong Heart Study

  • Vittorio Palmieri, MD, PhD

      Affiliations

    • Weill Medical College of Cornell University, New York, New York
  • ,
  • Mary J. Roman, MD

      Affiliations

    • Weill Medical College of Cornell University, New York, New York
  • ,
  • Jonathan N. Bella, MD

      Affiliations

    • Weill Medical College of Cornell University, New York, New York
  • ,
  • Jennifer E. Liu, MD

      Affiliations

    • Weill Medical College of Cornell University, New York, New York
  • ,
  • Lyle G. Best, MD

      Affiliations

    • Missouri Breaks Industries Research Inc, Timber Lake, South Dakota
  • ,
  • Elisa T. Lee, PhD

      Affiliations

    • University of Oklahoma, Health Sciences Center, Oklahoma City, Oklahoma
  • ,
  • Barbara V. Howard, PhD

      Affiliations

    • MedStar Research Institute, Washington, District of Columbia, Washington, DC.
  • ,
  • Richard B. Devereux, MD

      Affiliations

    • Weill Medical College of Cornell University, New York, New York
    • Corresponding Author InformationReprint requests: Richard B. Devereux, MD, Weill Medical College of Cornell University, 525 E 68 St, Box 222, Room K-415, New York, NY 10021.

published online 12 July 2007.

Objective

We sought to investigate prognostic implications of the relationships of estimated left ventricular (LV) myocardial energy expenditure (MEE) with LV systolic dysfunction, body composition, and inflammation in a population-based sample of adults without overt congestive heart failure.

Methods

Echocardiography was used to assess LV ejection fraction (EF) and MEE. Body composition was evaluated by bioelectric impedance. Dietary recall was used to assess 24-hour calorie intake. Participants in the Strong Heart Study without prior congestive heart failure and with all needed data available (n = 3087) were divided based on LV EF (>55%, 54%-45%, or <45%).

Results

Participants with EF less than 45% were older and they had lower body mass index, adipose mass, fat-free mass, and 24-hour calorie intake than participants with normal EF (≥55%), and had greatest reductions of body mass index and physical activity in a time interval of 3.5 years, on average, elapsed between an initial clinical assessment and the evaluation at the time of the echocardiographic examination (P < .01). Lower EF was associated with male sex, hypertension, diabetes, coronary heart disease, and higher fibrinogen, C-reactive protein, and plasma creatinine levels (all P < .01). MEE was higher with lower EF (all P < .001). In Cox regression models, during approximately 8 years of observation, MEE comprised between 97 and 123 cal/min and MEE greater than 123 cal/min were associated with 2.5-fold and additional 3.3-fold higher rates of cardiac death, respectively, compared with MEE less than 97 cal/min, independently of EF, body composition, and other covariates. However, lower adipose mass predicted increased risk of cardiac death independent of MEE and EF.

Conclusion

In a population-based sample of adults including ambulatory individuals with depressed LV systolic function but without overt congestive heart failure, depressed EF was associated independently with higher MEE, lower adipose mass, and higher fibrinogen. However, increased MEE and lower adipose mass predicted cardiac death independently of EF and other covariates.

To access this article, please choose from the options below

Login to an existing account or Register a new account.

  • Purchase this article for 31.50 USD (You must login/register to purchase this article)

    Online access for 24 hours. The PDF version can be downloaded as your permanent record.

  • Subscribe to this title

    Get unlimited online access to this article and all other articles in this title 24/7 for one year.

  • Claim access now

    For current subscribers with Society Membership or Account Number.

  • Visit SciVerse ScienceDirect to see if you have access via your institution.
 

 Supported by cooperative agreement grants U01-HL41642, HL41652, HL41654, and HL65521 from the National Heart, Lung, and Blood Institute, Bethesda, Maryland, and grant M10RR0047 (General Clinical Research Center) from the National Institutes of Health, Bethesda, Maryland.

PII: S0894-7317(07)00390-2

doi:10.1016/j.echo.2007.05.008

Journal of the American Society of Echocardiography
Volume 21, Issue 1 , Pages 66-71, January 2008