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Respiration uncoupling and metabolism in the control of energy expenditure.

Metabolic energy expenditure negatively regulates energy balance. Metabolic and catabolic pathways contribute to energy expenditure. Catabolic pathways split C-containing molecules into small molecules and generate reduced coenzymes and ATP. For a given amount of substrate, any increase in energy expenditure requires either increased ATP hydrolysis or decreased ATP synthesis. In skeletal muscles substrate utilisation is coupled to ATP production, whereas ATP hydrolysis is activated during physical exercise and increases energy expenditure. In brown adipose tissue activation of cells during exposure to cold increases substrate utilisation in such a way that glucose and fatty acid oxidation detach from the orthodox coupling to ATP synthesis and result in thermogenesis. The unique mechanism of uncoupling respiration that occurs in brown adipocyte mitochondria represents an attractive strategy for promoting energy expenditure and decreasing the fat content of the body. Moreover, ectopic expression of brown fat uncoupling protein (UCP) 1 in mouse skeletal muscle and induction of UCP1 in mouse or human white adipocytes promote fatty acid oxidation and resistance to obesity. In normal conditions UCP2 and UCP3 do not seem to contribute substantially to energy expenditure. Whether the induction of UCP1, the induction of other UCP or chemical mild uncoupling represent promising strategies for attenuating nutrient efficiency and counteracting obesity should be considered.

Adenosine Triphosphate↗

Resting energy expenditure of children attending a rehabilitation programme following head injury.

STATEMENT OF PURPOSE: Increased resting energy expenditure following head injury is well documented, but whether this increase extends into rehabilitation and whether this is affected by changes in body composition have not been studied. The aim of this study was to determine whether children attending a rehabilitation program following head injury had altered energy expenditure and body composition. METHODS: Measurements of resting energy expenditure by indirect calorimetry were performed in 21 head injured children (mean age 10.2 +/- 3.8 years). Measurement of body composition was performed using total body potassium. RESULTS: Measured resting energy expenditure values were widely distributed, ranging from 52.3-156.4% of predicted values, yet the mean percentage predicted using Schofield weight, Schofield weight and height and World Health Organization predictive equations were 97.5%, 97.4% and 98.6%, respectively. Mean percentage of expected total body potassium for weight, height and age for head injured children were 85.1 +/- 15.5%, 89.1 +/- 14.1% and 86.9 +/- 15.9%, thus all showed significant depletion. CONCLUSIONS: During rehabilitation, using predictive equations to estimate resting energy expenditure in this group revealed a small bias on average but very large bias at the individual level. Head injured children had altered resting energy expenditure and body composition.

Adolescent↗

The measurement of daily energy expenditure--an evaluation of some techniques.

An energy balance survey was conducted on an Antarctic base on 12 individuals for periods varying between 6 and 12 months. Energy expenditure was estimated using two activity/dairy card techniques and mean 24-hr heart rate used in conjunction with a variety of derived heart rate/energy expenditure regression equations. The accuracy of the various techniques was determined by comparison with estimates obtained using energy intakes and changes in body fat. No method of measuring energy expenditure was accurate enough to predict fat gain or loss. Errors in individuals were large and random but the mean error in the estimation of energy expenditure of the community was reasonable. When using the dairy card there was no difference between using measured values for energy costs of specific activities and using values taken from the literature. Using heart rate was no less accurate than the diary card if energy expenditure was predicted from a regression line derived from heart rate and log energy expenditure, and the technique was more acceptable to the subjects.

Adipose Tissue↗

A method to assess energy expenditure in children and adults.

A variety of studies has a need to estimate the amount and pattern of daily energy expenditure. To this end, a 3-day activity record was developed and is described. Every 15-min period over 3 days, including a weekend day, was qualified in terms of energy cost on a 1 to 9 scale corresponding to a range of 1.0 MET to 7.8 METs and higher. A reliability study of 61 subjects indicated a highly reproducible procedure as shown by an intraclass correlation of 0.96 for mean kcal of energy expenditure over 3 days. Repeatability was unchanged whether or not the hours of sleep were included in the record. Samples of 150 children and 150 adults were also drawn to investigate the relationship between energy expenditure, physical working capacity, and body fatness. Results support the hypothesis that mean energy expenditure per kg of body weight is significantly correlated with physical working capacity expressed per kg of body weight (r = 0.31; p less than 0.01). Mean energy expenditure per kg of body weight is negatively related to body fat (-0.08 less than or equal to r less than or equal to -0.13). It is concluded that the 3-day activity record is a procedure suitable to estimate energy expenditure in population studies.

Activities of Daily Living↗

Energy expenditure, body composition, and glucose metabolism in lean and obese rhesus monkeys treated with ephedrine and caffeine.

The administration of ephedrine and caffeine (E+C) has been proposed to promote weight loss by increasing energy expenditure and decreasing food intake. We tested this hypothesis in six lean (4-9% body fat) and six mildly to moderately obese (13-44% body fat) monkeys studied during a 7-wk control period, an 8-wk drug treatment period, and a 7-wk placebo period. During the drug treatment period, the monkeys were given ephedrine (6 mg) and caffeine (50 mg) orally three times per day. At the end of each period, a glucose tolerance test was performed, energy expenditure was measured, and body composition was determined. Treatment with E+C resulted in a decrease in body weight in the obese animals (P = 0.06). This loss in weight was primarily the result of a 19% reduction in body fat. Drug treatment also resulted in a decrease in body fat in the lean group (P = 0.05). Food intake was reduced by E+C only in the obese group (P < 0.05). Nighttime energy expenditure was increased by 21% (P < 0.03) in the obese group and 24% (P < 0.01) in the lean group with E+C treatment. Twenty-four-hour energy expenditure was higher in both groups during drug treatment. E+C did not produce systematic changes in glucoregulatory variables, whereas plasma leptin concentrations decreased in both groups with drug treatment. Overall, these results show that E+C treatment can promote weight loss through an increase in energy expenditure, or in some individuals, a combination of an increase in energy expenditure and a decrease in food intake.

Animals↗

Role of energy expenditure in the development of pediatric obesity.

The role that energy expenditure plays in pediatric obesity was somewhat confused by early research purporting to show that, as a group, obese children have lower energy intakes than do lean children. On the basis of this intake data, the conclusion was drawn that obese persons are somehow energy efficient, leading to weight gain. More recent research examining energy expenditure has shown clearly that, as a group, obese children have higher energy expenditures than do their lean counterparts. With the advent of the doubly labeled water method for determining free-living energy expenditure, it has been shown that obese children underreport intake significantly more than do lean children. When measurements are properly adjusted for differences in body size, there are generally no major differences in energy expenditure between lean and obese groups. However, in some cross-sectional studies, a low level of physical activity has been shown to be related to current body fatness. In addition, longitudinal studies have shown that a low level of energy expenditure, particularly energy expended in physical activity, is associated with both body fatness and weight gain.

Body Water↗

Effect of fat-reduced diets on 24-h energy expenditure: comparisons between animal protein, vegetable protein, and carbohydrate.

BACKGROUND: Single-meal tests have shown that protein has greater thermogenic and satiating effects than does carbohydrate, which may be relevant for the prevention and treatment of obesity if these effects can be maintained over 24 h. OBJECTIVE: The effects of pork-meat protein, soy protein, and carbohydrate on 24-h energy expenditure were compared. DESIGN: Twelve young, healthy, overweight and mildly obese [body mass index (in kg/m(2)): 26-32] nonsmoking men participated in a randomized, single-blind, 3-way crossover study lasting 4 d. The intervention had a 1-10-wk washout period. The 3 isoenergetic intervention diets were as follows: pork diet (29% of energy as fat and 29% as protein, mainly from pork meat), soy diet (29% of energy as fat and 28% as protein, mainly from soy), and carbohydrate diet (28% of energy as fat and 11% as protein). Twenty-four-hour energy expenditure was measured in a respiratory chamber at baseline and on day 4 of each intervention period. RESULTS: Twenty-four-hour energy expenditure was higher with the pork than with the soy (248 kJ/d, 1.9%; P: = 0.05) or carbohydrate (492 kJ/d, 3.9%; P: < 0.0001) diet and higher with the soy than with the carbohydrate (244 kJ/d, 1.9%; P: < 0.05) diet. However, because of a higher satiating effect, energy intake was 10-15% lower during the chamber stay than at baseline (P: > 0.05) with all 3 diets. The differences in energy expenditure remained unchanged after adjustment for differences in 24-h energy balance. CONCLUSIONS: Substitution of carbohydrate with 17-18% of energy as either pork-meat or soy protein produced a 3% higher 24-h energy expenditure. The animal protein in pork meat produced a 2% higher 24-h energy expenditure than did the vegetable protein in soy.

Adult↗

Energy expenditure of nonexercise activity.

BACKGROUND: We found recently that changes in nonexercise activity thermogenesis (NEAT) mediate resistance to weight gain with overfeeding in sedentary adults. A potentially important, yet seldom investigated, component of NEAT is the energy expenditure of fidgeting-like activities. OBJECTIVE: Our goal was to measure changes in energy expenditure with fidgeting-like activities. DESIGN: Energy expenditure was measured in 24 subjects (17 women and 7 men x+/- SD body weight: 76 +/- 21 kg) while recumbent at rest, sitting motionless, standing motionless, partaking of self-selected fidgeting-like movements while seated and while standing, and walking on a treadmill at 1.6, 3.2, and 4.8 km/h (1, 2, and 3 mph). Measurements were performed by using a high-precision, indirect calorimeter connected to the subject via a transparent, lightweight facemask that enabled almost unrestricted movement. RESULTS: Compared with metabolic rate in the supine position (5.4 +/- 1.5 kJ/min), energy expenditure increased while sitting motionless by 4 +/- 6%, while fidgeting while seated by 54 +/- 29% (P: < 0.0001), while standing motionless by 13 +/- 8% (P: < 0.0001), while fidgeting while standing by 94 +/- 38% (P: < 0.0001), while walking at 1.6 km/h by 154 +/- 38% (P: < 0.0001), while walking at 3.2 km/h by 202 +/- 45% (P: < 0.0001), and while walking at 4.8 km/h by 292 +/- 81% (P: < 0.0001). There was a significant, positive correlation between changes in energy expenditure and body weight for fidgeting-like activities while standing (r = 0.43, P: = 0.02) but not while seated. CONCLUSIONS: There is marked variance between subjects in the energy expenditure associated with self-selected fidgeting-like activities. The thermogenic potential of fidgeting-like and low-grade activities is sufficiently great to substantively contribute to energy balance.

Adult↗

Projecting future drug expenditures--1995.

Use of information on inflation, pharmacoeconomics, market introduction of new drug entities, practice-site-specific drug-use patterns, federal legislation, and the changing structure of health care delivery to project drug expenditures is discussed. Drug price inflation has been declining over the past several years, from 6.9% in 1991 to 2.2% for part of 1994. This can be attributed to both the growth of managed care and the industry's fear of government price controls. Pharmaceutical industry analysts project the overall price increase for pharmaceuticals in the next 12-24 months to be 2-5%. Pharmacoeconomic research is likely to become increasingly important; pharmacists will need to understand and critically evaluate this research. Drug budget projections should include a complete review of new drugs and biotechnology agents pending FDA approval, drugs pending approval for new indications, and common unlabeled uses of expensive existing agents. Various methods are available for tracking practice-site-specific drug-use patterns; those that categorize expenditures by diagnosis-related group may underestimate total expenditures associated with treating a given condition. State and federal legislation may affect drug rebates, prices, and ultimately drug expenditures. Although health care reform legislation did not pass in 1994, changes are occurring in both the pharmaceutical industry and in health care delivery, shifting the control of drug selection, utilization, and expenditures from individual prescribers to large purchasers. The accuracy of projections of drug expenditures can be improved by examining inflation, pharmacoeconomic research, the introduction of new drug entities, practice-site-specific drug-use patterns, federal legislation, and the changing structure of health care delivery.

Drug Approval↗

Projecting future drug expenditures--2002.

Drug-cost projections for 2002 and factors likely to influence drug costs are discussed. The United States continues to face the challenge of increased growth in health expenditures, and pharmaceutical expenditures continue to increase significantly faster than the growth in total health care expenditures. These increases can be largely attributed to a combination of general inflation, an increase in the average age of the U.S. population, and the increased use of new technologies. On the basis of price inflation and nonprice inflationary factors, including increases in volume, shifts in patient and therapeutic intensity, and the expected approval of new drugs, we forecast a 15.5% increase in drug expenditures in 2002 for hospitals and clinics and an 18.5% increase for ambulatory care settings. One of the most substantial contributors to the rise in pharmaceutical expenditures over the past decade is the successful introduction and rapid diffusion of new pharmaceuticals. Data about many new drugs on the horizon are provided. One agent likely to have the highest impact on hospitals in the next year is drotrecogin alfa for the treatment of sepsis. The cost of this agent is expected to range from $3,000 to $10,000 per patient per course of therapy. Other factors influencing medication costs, including generic medications, legislative initiatives, and the recent acts of terrorism committed against the United States, are also discussed. Technological, demographic, and market-based changes, and possibly public policy changes, will have a dramatic influence on pharmaceutical expenditures in the coming year. An understanding of what is driving the changes is critical to the effective management of these resources.

Drug Approval↗

Smooth quantile ratio estimation with regression: estimating medical expenditures for smoking-attributable diseases.

The methodological development of this paper is motivated by a common problem in econometrics where we are interested in estimating the difference in the average expenditures between two populations, say with and without a disease, as a function of the covariates. For example, let Y(1) and Y(2) be two non-negative random variables denoting the health expenditures for cases and controls. Smooth Quantile Ratio Estimation (SQUARE) is a novel approach for estimating Delta=E[Y(1)] - E[Y(2)] by smoothing across percentiles the log-transformed ratio of the two quantile functions. Dominici et al. (2005) have shown that SQUARE defines a large class of estimators of Delta, is more efficient than common parametric and nonparametric estimators of Delta, and is consistent and asymptotically normal. However, in applications it is often desirable to estimate Delta(x)=E[Y(1)|x]--E[Y(2)|x], that is, the difference in means as a function of x. In this paper we extend SQUARE to a regression model and we introduce a two-part regression SQUARE for estimating Delta(x) as a function of x. We use the first part of the model to estimate the probability of incurring any costs and the second part of the model to estimate the mean difference in health expenditures, given that a nonzero cost is observed. In the second part of the model, we apply the basic definition of SQUARE for positive costs to compare expenditures for the cases and controls having 'similar' covariate profiles. We determine strata of cases and control with 'similar' covariate profiles by the use of propensity score matching. We then apply two-part regression SQUARE to the 1987 National Medicare Expenditure Survey to estimate the difference Delta(x) between persons suffering from smoking-attributable diseases and persons without these diseases as a function of the propensity of getting the disease. Using a simulation study, we compare frequentist properties of two-part regression SQUARE with maximum likelihood estimators for the log-transformed expenditures.

Age Factors↗

Association of household rice expenditure with child nutritional status indicates a role for macroeconomic food policy in combating malnutrition.

Macroeconomic food policies have the potential to reduce malnutrition by improving access to food, a determinant of nutritional status. However, very little is understood about the mechanisms and the magnitude of the effects of macroeconomic food policies such as food price policies on nutritional status. Data collected by the Nutritional Surveillance Project on a total of 81,337 children aged 6-59 mo in rural Bangladesh between 1992 and 2000 were used to examine how changes in rice price affect child underweight. Rice consumption per capita declined only slightly during the period but rice expenditure per capita varied widely due to fluctuations in rice price. Rice expenditure was positively correlated with the percentage of underweight children (r = 0.91, P = 0.001). Households were found to spend more on nonrice foods as their rice expenditure declined, and nonrice expenditure per capita was negatively correlated with the percentage of underweight children (r = -0.91, P = 0.001). Expenditure on nonrice foods per capita increased with the frequency with which nonrice foods were consumed (P < 0.05) and with the diversity of the diet (P < 0.001). The findings suggest that the percentage of underweight children declined when rice expenditure fell because households were able to spend more on nonrice foods and thereby increase the quantity and quality of their diet. We hypothesize that macroeconomic food policies that keep the price of food staples low can contribute toward reducing child underweight.

Bangladesh↗

Energy expenditure in malnourished cancer patients.

It is widely believed that the presence of a malignancy causes increased energy expenditure in the cancer patient. To test this hypothesis, resting energy expenditure (REE) was measured by bedside indirect calorimetry in 200 heterogeneous hospitalized cancer patients. Measured resting energy expenditure (REE-M) was compared with expected energy expenditure (REE-P) as defined by the Harris-Benedict formula. The study population consisted of 77 males and 123 females with a variety of tumor types: 44% with gastrointestinal malignancy, 29% with gynecologic malignancy, and 19% with a malignancy of genitourinary origin. Patients were classified as hypometabolic (REE less than 90% of predicted), normometabolic (90-110% of predicted) or hypermetabolic (greater than 110% of predicted). Fifty-nine per cent of patients exhibited aberrant energy expenditure outside the normal range. Thirty-three per cent were hypometabolic (79.2% REE-P), 41% were normometabolic (99.5% REE-P), and 26% were hypermetabolic (121.9% REE-P) (p less than 0.001). Aberrations in REE were not due to age, height, weight, sex, nutritional status (% weight loss, visceral protein status), tumor burden (no gross tumor, local, or disseminated disease), or presence of liver metastasis. Hypermetabolic patients had significantly longer duration of disease (p less than 0.04) than normometabolic patients (32.8 vs. 12.8 months), indicating that the duration of a malignancy may have a major impact upon energy metabolism. Cancer patients exhibit major aberrations in energy metabolism, but are not uniformly hypermetabolic. Energy expenditure cannot be accurately predicted in cancer patients using standard predictive formulae.

Aged↗

Energy expenditure and gas exchange measurements in postoperative patients: thermodilution versus indirect calorimetry.

OBJECTIVE: To compare a method of measuring energy expenditure and gas exchange using the Fick principle with the standard indirect calorimetry technique. DESIGN: Prospective study of a consecutive sample of postoperative patients. Oxygen consumption (VO2), CO2 production (VCO2), respiratory quotient, and energy expenditure were derived from measurements of variables, including oxygen content and cardiac output. Energy expenditure and gas exchange were measured simultaneously by continuous indirect calorimetry over a 60-min period. SETTING: Surgical ICU in a university hospital. PATIENTS: Twenty-six consecutive patients (45 to 80 yrs) who underwent sustained surgical trauma. Excluded from the study entry were patients with time-related fluctuations of hemodynamic variables, poor cooperation, patients who required supplemental oxygen, or mechanical ventilation. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: While the measurements of VO2 and VCO2 by calorimetry and thermodilution were significantly correlated with one another (for VO2, r2 = .93, p less than .001; for VCO2, r2 = .26, p less than .01), VO2 and VCO2 values by indirect calorimetry were consistently greater than VO2 and VCO2 values by the Fick method (p less than .01). The respiratory quotient calorimetric measurements ranged between 0.69 and 0.99, whereas the corresponding thermodilution measurements spread to impossible values, from 0.24 to 1.30 (0.821 +/- 0.07 vs. 0.740 +/- 0.24, p less than .05). There was an insignificant relationship (r2 = .06, p = .21) between the values of respiratory quotient by the two methods. A strong, positive correlation between energy expenditure measured by indirect calorimetry and energy expenditure measured by the Fick method was observed (r2 = .92, p less than .001). The limit of agreement between the two methods was -0.24 +/- 73 kcal/day/m2 (-1.00 +/- 305 kJ/day/m2). CONCLUSIONS: In postoperative patients, while VO2 and energy expenditure measurements by thermodilution are easy to perform and accurate for clinical purposes, VCO2, and respiratory quotient measurements are too imprecise and inaccurate to serve any useful function. Therefore, in those clinical situations in which an evaluation of respiratory quotient and substrate utilization may be useful for purposes of metabolic care of the surgical patient, precise measurements of gas exchange with indirect calorimetry are mandatory.

Calorimetry, Indirect↗

Components of energy expenditure in patients with severe sepsis and major trauma: a basis for clinical care.

OBJECTIVE: To obtain accurate values for the components of energy expenditure in critically ill patients with sepsis or trauma during the first 2 wks after admission to the intensive care unit. DESIGN: Prospective study. SETTING: Critical care unit and university department of surgery in a single tertiary care center. PATIENTS: Twelve severely septic (median Acute Physiology and Chronic Health Evaluation II Score, 23; range, 15 to 34) and 12 major trauma patients (median Injury Severity Score, 33.5; range, 26 to 50). INTERVENTIONS: Total body fat, total body protein, and total body glycogen were measured as soon as hemodynamic stability had been reached and repeated 5 and 10 days later. Resting energy expenditure (REE) was measured daily by indirect calorimetry. MEASUREMENTS AND MAIN RESULTS: Changes in total body fat, total body protein, and total body glycogen in critically ill patients provide data for the accurate construction of an energy balance. Energy intake minus energy balance gives a direct measurement of total energy expenditure (TEE) and, when combined with measurements of REE, activity energy expenditure can be obtained. TEE, REE, and activity energy expenditure were calculated for two sequential 5-day study periods. REE progressively increased during the first week after the onset of severe sepsis or major trauma, peaking during the second week at 37 +/- 6% (SEM) and 60 +/- 13% greater than predicted, respectively. For both the sepsis and trauma patients, TEE was significantly higher during the second week than during the first week (3257 +/- 370 vs. 1927 +/- 370 kcal/day, p < .05, in sepsis; 4123 +/- 518 vs. 2380 +/- 422 kcal/day, p < .05, in trauma). During the first week after admission to the hospital, TEE in sepsis and trauma patients, respectively, averaged 25 +/- 5 and 31 +/- 6 kcal/kg of body weight/day, and during the second week, 47 +/- 6 and 59 +/- 7 kcal/kg/day (p < .03, for comparison of first and second weeks). For the first week, the ratio of TEE to REE was 1.0 +/- 0.2 and 1.1 +/- 0.2 but during the second week rose to 1.7 +/- 0.2 and 1.8 +/- 0.2 in patients with sepsis (p < .05, for comparison of weeks) and trauma (p = .09), respectively. CONCLUSIONS: Total energy expenditure is maximal during the second week after admission to the critical care unit, reaching 50 to 60 kcal/kg/day.

Absorptiometry, Photon↗

Effect of neuromuscular blockade on oxygen consumption and energy expenditure in sedated, mechanically ventilated children.

OBJECTIVE: To quantify the effects of neuromuscular blockade (NMB) on energy expenditure for intubated, mechanically ventilated, critically ill children. DESIGN: A prospective, unblinded clinical study. Each subject was studied twice, before and after establishment of NMB. SETTING: A tertiary care pediatric intensive care unit. PATIENTS: Critically ill children undergoing mechanical ventilation and receiving ongoing sedation were eligible, if they had a cuffed endotracheal tube and were physiologically stable. INTERVENTIONS: A total of 20 children (age, 1 to 15 yrs) were studied in an unblinded, crossover fashion. All were mechanically ventilated via a cuffed endotracheal tube, with ventilator rate and tidal volume adequate to provide complete ventilation, and F(IO2) <0.6. Absence of gas leak around the endotracheal tube was assured, and all patients were sedated using continuous infusions of midazolam and/or fentanyl; no changes in ventilator settings, nutritional input, or inotropic drug dose were permitted during the study period. Each patient underwent indirect calorimetry immediately before establishment of NMB. NMB was then induced, and indirect calorimetry was repeated. Complete blockade was verified using a peripheral nerve stimulator. In each case, the two sets of measurements were completed within a 1-hr period. MEASUREMENTS AND MAIN RESULTS: Data analyzed included identifying and diagnostic information, oxygen consumption, and carbon dioxide production. Energy expenditure was calculated using standard formulas. Oxygen consumption and energy expenditure values obtained before and after the establishment of NMB were compared by using paired Student's t-test. NMB reduced oxygen consumption from 6.54+/-0.49 mL/kg/min to 5.90+/-0.40 ml/kg/min, and energy expenditure was reduced from 46.5+/-3.7 kcal/kg/24 hrs to 41.0+/-2.8 kcal/kg/24 hrs (p < .001 in each case). The reduction in oxygen consumption was 8.7+/-1.7%, and that in energy expenditure 10.3+/-1.8%, of pre-NMB values, respectively. CONCLUSION: NMB significantly reduces oxygen consumption and energy expenditure in critically ill children who are sedated and mechanically ventilated; the degree of reduction is small.

Adolescent↗

Comparison of energy expenditure measurement techniques in severely burned patients.

The degree of accuracy of existing formulas for calculating energy expenditure can be determined by comparing them to the measured energy expenditure via indirect calorimetry. As a result, one can modify traditional predicted recommendations for nutrition alimentation of the burn patient with real-time data. In this study, 21 sequential adult admissions with second- and third-degree total body surface area (TBSA) burn wounds (range 21%-81% TBSA) underwent serial assessments of energy expenditure by indirect calorimetry. On admission, maximum, and discharge, measured energy expenditure (MEE) was compared with the calculations for predicted energy expenditure by the Curreri (CEE) and modified Harris-Benedict (MBEE) equations. The mean energy expenditure calculated from the Curreri equation on admission (CEEA) overestimated the mean MEE on admission (MEEA) by 25% (P less than 0.001) and on discharge (MEED) by 36% (P less than 0.0005). The mean modified Harris-Benedict equation overestimated the mean MEEA by 32% (P less than 0.0005) and the mean MEED by 39% (P less than 0.0005). No significant difference was noted between the mean MEE at maximum (MEEM) and the mean CEEA or the mean MBEEA. This indicates excessive overfeeding of the burn patient from admission to discharge by both standard formulas. Actual measured data provide a better indicator of varying nutritional needs throughout the hospital course than the standard formulas, and their use would result in significant savings in the expenses of enteral/parenteral nutritional supplements.

Adolescent↗

Resting energy expenditure in infants with cystic fibrosis.

To evaluate the contribution of energy expenditure to the energy imbalance seen in cystic fibrosis patients, resting energy expenditure was measured using open-circuit indirect calorimetry in eight infants with cystic fibrosis, aged 2-7 months (mean, 4), without overt lung disease and in 10 healthy age-matched controls. In both groups, we found close, significant, linear correlations between resting energy expenditure and body weight and between resting energy expenditure and fat-free mass as measured by anthropometry. Cystic fibrosis patients had a 26% increase in resting energy expenditure per kilogram of fat-free mass as compared with controls and a 32% increase in resting energy expenditure as compared with predicted values for fat-free mass. These data from young infants free of clinical symptoms suggest a constitutional metabolic disorder in cystic fibrosis and support the need for early nutritional therapy in cystic fibrosis patients.

Anthropometry↗