title: Prediction of resting energy needs in older men with heart failure.
abstract: OBJECTIVE
  Patients with congestive heart failure are often undernourished. The measurement of resting energy expenditure has served as the basis upon which estimates of daily caloric needs have been developed. Resting energy needs, however, in heart failure patients are unknown. We have developed a new equation to predict resting energy needs in heart failure patients that takes into account easily measured clinical variables and symptom severity.
  
  
  METHODS
  Observational.
  
  
  METHODS
  Baltimore VA Medical Center.
  
  
  METHODS
  Forty male patients with heart failure aged, 57-85 y; (27 Class II; 13 Class IV).
  
  
  METHODS
  Resting metabolic rate was measured by indirect calorimetry, fat-free mass and fat mass by dual energy X-ray absorptiometry, peak VO2 by a treadmill test. Symptom severity was measured by the New York Heart Association classification. Ejection fraction, plasma albumin and plasma glucose were also assessed.
  
  
  RESULTS
  Stepwise regression analysis showed that body weight, fasting glucose, plasma albumin and New York Heart Association classification accounted for 83% of the variation in resting energy needs. The regression equation had a root mean square error of 130 kcal (544 kJ) per day. The equation is: RMR (kcal/d) = 12.2 (wt, kg) + 1.6 (glucose, gm/dl) + 103 (NYHA; III, IV)-144 (albumin, mg/dl) + 755. Moreover, prediction equations based on observations in healthy individuals significantly underestimated resting energy needs in heart failure patients.
  
  
  CONCLUSIONS
  We offer a new equation to predict resting energy needs in heart failure patients based upon readily available clinical measurements. Further studies are needed to cross-validate our equation.
authors.affiliation: Department of Internal Medicine, Howard University College of Medicine, Washington DC 20060, USA.
authors.forename: T O
authors.initials: TO
authors.lastname: Obisesan
authors.forename: M J
authors.initials: MJ
authors.lastname: Toth
authors.forename: E T
authors.initials: ET
authors.lastname: Poehlman
mesh_terms: D015502:Absorptiometry, Photon; D000368:Aged; D000369:Aged, 80 and over; D001481:Basal Metabolism; D001786:Blood Glucose / Q000378:metabolism; D001835:Body Weight; D002153:Calorimetry, Indirect; D002149:Energy Intake; D004734:Energy Metabolism; D006333:Heart Failure / Q000378:metabolism*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009751:Nutritional Requirements; D012044:Regression Analysis; D012709:Serum Albumin / Q000378:metabolism
chemical_list: D001786:Blood Glucose; D012709:Serum Albumin