A Hattori chart analysis of body mass index in infants and children

BACKGROUND: Body mass index (BMI) is widely used as an index of fatness in paediatrics, but previous analysis of the BMI-fatness relationship has been insufficient. OBJECTIVE: To consider the effects of variation in fat-free mass (FFM) and fat mass (FM) on BMI in infants, children and Fomon's reference child (Am J Clin Nutr 1982; 35: 1169-1175). SUBJECTS: 42 infants aged 12 weeks; 64 children aged 8-12 y; Fomon's reference child. METHODS: FFM was measured by deuterium dilution. FFM index (FFMI) and FM index (FMI) were calculated. The effects of variation in FFM and FM on BMI were explored using Hattori's body composition chart (Am J Hum Biol 1997; 9: 573-578). RESULTS: In both infancy and childhood, a given BMI can embrace a wide range of percentage body fat. At both time points, the s.d. of FFMI was > 60% of the s.d. of FMI. Graphic analysis differentiated the effects of lean tissue and fat deposition on BMI with age in the reference child. CONCLUSION: Although valuable for assessing short-term changes in nutritional status in individuals, and for comparing mean relative weight between populations, BMI is of limited use as a measure of body fatness in individuals in both infancy and childhood. The development of BMI with age may be disproportionately due to either FFM and FM at different time points.     

Chart analysis of body composition change among pre- and postadolescent Japanese subjects assessed by underwater weighing method

OBJECTIVE: To examine the effect of age on the relationship between fat-free mass (FFM) and fat mass (FM), and fat-free mass index (FFMI) and fat mass index (FMI) by applying body composition chart analysis on pre- and postadolescent Japanese subjects. SUBJECTS AND METHOD: A sample of 516 children (244 boys and 272 girls) ranging in age from 11 to 17 y and 840 adults (288 male and 552 female subjects) ranging in age from 18 to 59 y were studied to determine a body composition by an underwater weighing method. FMI and FM were put on an x- and y-axis in body composition chart 1, and FFMI (FFM/ height(2)) and FMI (FM/height(2)) were taken on an x- and y-axis in body composition chart 2. RESULTS: In body composition chart 1, the plots for male subjects stayed flat from 11 to 14 y and after that a steady growth of FFM concurring with the FM growth was observed. During the adult stage, steady increments of FM and gradual decreases of FFM were observed. In body composition chart 2, steady increases of FFMI and gradual decreases of FMI were indicated in the male preadolescent period. In the adult stage, FFMI decreased year by year, although the FMI continued to increase. In female subjects, a conspicuous increase of FMI was observed throughout all periods of the present subjects. After middle age, the decline of FFMI was characteristically demonstrated in the chart. CONCLUSION: The relationships between FFM and FM are characteristically delineated on the body composition charts demonstrating clear gender differences. The change of body mass index was not reflecting the change of adiposity level in male subjects, although it was occurring along with the changes of the adiposity level in female subjects.     

Hidden depletion of fat-free mass and bone mineral density in adults with cystic fibrosis

BACKGROUND: Weight loss is associated with reduced survival in patients with cystic fibrosis (CF). OBJECTIVE: We hypothesized that some adult patients with a normal body mass index (BMI) have evidence of hidden fat-free mass (FFM) and bone mineral density (BMD) depletion that is linked to more severe disease. DESIGN: Fat mass (FM), FFM, and BMD were determined by dual-energy x-ray absorptiometry (DXA) and by bioelectric impedance in 56 adults in clinically stable condition and 20 age-matched healthy subjects. FM index and FFM index (FFMI) [kilograms per meter squared] of the right arm, leg, and trunk (ratio to height squared) were calculated. Lung function, including the maximum inspiratory pressure (MIP) and sustained MIP (SMIP), physical activity, serum C-reactive protein (CRP) and the number of exacerbations in the previous year were recorded. RESULTS: Patients had a lower total FFM than healthy subjects (p < 0.01), while FM was similar. Of the 56 patients, 30 patients had a normal BMI, of which 12 patients had a low FFM (hidden loss) by DXA. The right arm, leg, and trunk FFMI and BMD at hip sites were less in these patients than in those with a normal BMI and normal FFM (all p < 0.01). This group had a lower FEV(1), SMIP, more frequent exacerbations, and greater circulating CRP (all p < 0.05). CONCLUSIONS: In adults with CF, apparent or hidden loss of FFM, rather than weight loss, was related to overall disease severity. Hidden depletion of FFM was associated with increased loss of BMD and systemic inflammatory activity.     

Precision of measurement and body size in whole-body air-displacement plethysmography

OBJECTIVE: To investigate methodological and biological precision for air-displacement plethysmography (ADP) across a wide range of body size. DESIGN: Repeated measurements of body volume (BV) and body weight (WT), and derived estimates of density (BD) and indices of fat mass (FM) and fat-free mass (FFM). SUBJECTS: Sixteen men, aged 22--48 y; 12 women, aged 24--42 y; 13 boys, aged 5--14 y; 17 girls, aged 5--16 y. MEASUREMENTS: BV and WT were measured using the Bodpod ADP system from which estimates of BD, FM and FFM were derived. FM and FFM were further adjusted for height to give fat mass index (FMI) and fat-free mass index (FFMI). RESULTS: ADP is very precise for measuring both BV and BD (between 0.16 and 0.44% of the mean). After removing two outliers from the database, and converting BD to body composition, precision of FMI was <6% in adults and within 8% in children, while precision of FFMI was within 1.5% for both age groups. CONCLUSION: ADP shows good precision for BV and BD across a wide range of body size, subject to biological artefacts. If aberrant values can be identified and rejected, precision of body composition is also good. Aberrant values can be identified by using pairs of ADP procedures, allowing the rejection of data where successive BD values differed by >0.007 kg/l. Precision of FMI obtained using pairs of procedures improves to <4.5% in adults and <5.5% in children.     

Sarcopenic obesity is associated with adverse clinical outcome after cardiac surgery

Background &; aimsBoth undernutrition – low fat free mass (FFM) – and obesity – high fat mass (FM) – have been associated with adverse outcome in cardiac surgical patients. However, whether there is an additional effect on outcome of these risk factors present at the same time, that is sarcopenic obesity (SO), is unknown. Furthermore, the association between SO and muscle function is unidentified.Methods and resultsIn 325 cardiac surgical patients, we prospectively analysed the association between preoperative FFM and FM, measured by bioelectrical impedance spectroscopy, and postoperative adverse outcomes, and their correlation with muscle function – handgrip strength (HGS). SO was associated with postoperative infections (28.2% vs. 5.3%, adj. odds ratio (OR): 7.9; 95% confidence interval (CI): 1.2–54.1; p = 0.04). Further, a low FFM index (FFMI; kg m^?2) was associated with postoperative infections (18.5% vs. 4.7%, adj. OR: 6.6; 95% CI: 1.7–25.2; p = 0.01) while a high FM index (FMI; kg m^?2) was not. Both components of SO, FFMI and FMI, correlated with HGS (FFMI: r = 0.570; p < 0.001, FMI: r = ?0.263; p < 0.001).ConclusionSO is associated with an increased occurrence of adverse outcome after cardiac surgery. Our results suggest an additional risk of a low FFMI and high FMI present at the same time. Furthermore, SO is characterised by less muscle function. We advocate determining body composition in cardiac surgical patients to classify and treat undernourished patients, in particular those who are also obese.     

Relation of BMI to fat and fat-free mass among children and adolescents

OBJECTIVE: Although the body mass index (BMI, kg/m2) is widely used as a surrogate measure of adiposity, it is a measure of excess weight, rather than excess body fat, relative to height. We examined the relation of BMI to levels of fat mass and fat-free mass among healthy 5- to 18-y-olds. METHODS AND PROCEDURES: Dual-energy X-ray absorptiometry was used to measure fat and fat-free mass among 1196 subjects. These measures were standardized for height by calculating the fat mass index (FMI, fat mass/ht2) and the fat-free mass index (FFMI, fat-free mass/ht2). RESULTS: The variability in FFMI was about 50% of that in FMI, and the accuracy of BMI as a measure of adiposity varied greatly according to the degree of fatness. Among children with a BMI-for-age > or =85th P, BMI levels were strongly associated with FMI (r=0.85-0.96 across sex-age categories). In contrast, among children with a BMI-for-age <50th P, levels of BMI were more strongly associated with FFMI (r=0.56-0.83) than with FMI (r=0.22-0.65). The relation of BMI to fat mass was markedly nonlinear, and substantial differences in fat mass were seen only at BMI levels > or =85th P. DISCUSSION: BMI levels among children should be interpreted with caution. Although a high BMI-for-age is a good indicator of excess fat mass, BMI differences among thinner children can be largely due to fat-free mass.     

Fat-free mass index and fat mass index percentiles in Caucasians aged 18-98 y

OBJECTIVE: To determine reference values for fat-free mass index (FFMI) and fat mass index (FMI) in a large Caucasian group of apparently healthy subjects, as a function of age and gender and to develop percentile distribution for these two parameters. DESIGN: Cross-sectional study in which bioelectrical impedance analysis (50 kHz) was measured (using tetrapolar electrodes and cross-validated formulae by dual-energy X-ray absorptiometry in order to calculate FFMI (fat-free mass/height squared) and FMI (fat mass/height squared). SUBJECTS: A total of 5635 apparently healthy adults from a mixed non-randomly selected Caucasian population in Switzerland (2986 men and 2649 women), varying in age from 24 to 98 y. RESULTS: The median FFMI (18-34 y) were 18.9 kg/m(2) in young males and 15.4 kg/m(2) in young females. No difference with age in males and a modest increase in females were observed. The median FMI was 4.0 kg/m(2) in males and 5.5 kg/m(2) in females. From young to elderly age categories, FMI progressively rose by an average of 55% in males and 62% in females, compared to an increase in body mass index (BMI) of 9 and 19% respectively. CONCLUSIONS: Reference intervals for FFMI and FMI could be of practical value for the clinical evaluation of a deficit in fat-free mass with or without excess fat mass (sarcopenic obesity) for a given age category, complementing the classical concept of body mass index (BMI) in a more qualitative manner. In contrast to BMI, similar reference ranges seems to be utilizable for FFMI with advancing age, in particular in men.     

Prevalence of nutritional depletion in a large out-patient population of patients with COPD

OBJECTIVE: The present study focuses on the prevalence of nutritional depletion in relation to functional performance, airflow limitation, experienced dyspnoea and health status in a large multi-center out-patient population with chronic obstructive pulmonary disease (COPD). METHODS: In 39 out-patient centers in The Netherlands, 389 patients with moderate to severe COPD (217 men) were recruited. The study evaluated on the baseline characteristics of the COSMIC study. Measurements included body composition by bioelectrical impedance analysis, dyspnoea by MRC-score, peripheral muscle function by isometric handgrip strength and disease-specific health status by St. George Respiratory Questionnaire. RESULTS: The prevalence of nutritional depletion (defined as body mass index (BMI)相似文献   

Body mass, fat-free body mass, and prognosis in patients with chronic obstructive pulmonary disease from a random population sample: findings from the Copenhagen City Heart Study

RATIONALE: Low body mass index (BMI) is a marker of poor prognosis in chronic obstructive pulmonary disease (COPD). In the general population, the harmful effect of low BMI is due to the deleterious effects of a low fat-free mass index (FFMI; fat-free mass/weight(2)). OBJECTIVES: We explored distribution of low FFMI and its association with prognosis in a population-based cohort of patients with COPD. METHODS: We used data on 1,898 patients with COPD identified in a population-based epidemiologic study in Copenhagen. FFM was measured using bioelectrical impedance analysis. Patients were followed up for a mean of 7 yr and the association between BMI and FFMI and mortality was examined taking age, sex, smoking, and lung function into account. MAIN RESULTS: The mean FFMI was 16.0 kg/m(2) for women and 18.7 kg/m(2) for men. Among subjects with normal BMI, 26.1% had an FFMI lower than the lowest 10th percentile of the general population. BMI and FFMI were significant predictors of mortality, independent of relevant covariates. Being in the lowest 10th percentile of the general population for FFMI was associated with a hazard ratio of 1.5 (95% confidence interval, 1.2-1.8) for overall mortality and 2.4 (1.4-4.0) for COPD-related mortality. FFMI was also a predictor of overall mortality when analyses were restricted to subjects with normal BMI. CONCLUSIONS: FFMI provides information in addition to BMI and assessment of FFM should be considered in the routine assessment of COPD.     

Cognitive function, body weight and body composition in geriatric patients

Weight loss is a frequent concomitant observation in dementia syndromes and is known to worsen the prognosis of elderly patients. This is a retrospective cross-sectional study of 1575 consecutive geriatric patients to obtain data about body weight and body composition in relation to gender and cognitive function. Fat mass (FM) and fat-free mass (FFM) were determined by bioelectric impedance analysis. Subjects with severe cognitive dysfunction (MMSE<11) had a significant lower body weight (6.5%), BMI (5.7%), FM (15.7%) and fat mass index (14.3%) than subjects without cognitive dysfunction (MMSE>26). FFM was not significantly decreased (2.1%). Subgroup analysis showed that mean body weight is closely related to the degree of cognitive dysfunction. Gender-related analysis showed no significant difference in body weight, BMI, FM and fat-mass index (FMI) between male subjects with severe cognitive dysfunction and male subjects with normal cognitive function. Only FFM was significantly decreased (7.0%) in males with severe cognitive dysfunction. Findings of this study indicate that patients with cognitive dysfunction lose substantial amounts of body weight, related to the degree of cognitive dysfunction. In this connection, female subjects seem to lose more weight than male subjects. At the same time female subjects predominantly lose FM, whereas male subjects seem to lose mainly FFM. Therefore patients with cognitive dysfunction should be regularly screened for weight loss and malnutrition to enable early nutritional intervention to prevent relevant weight loss. Future studies on weight loss in dementia should consider gender-related differences in body composition and weight loss.     

Associations between the Combined Fat Mass Index and Fat-Free Mass Index with Carotid Intima-Media Thickness in a Japanese Population: The Tohoku Medical Megabank Community-Based Cohort Study

Aim: Although many epidemiological studies have shown that obesity assessed by body mass index is associated with carotid intima-media thickness (cIMT), few studies have evaluated fat-free mass, which is a component of body composition. We investigated the associations between the combined fat mass index (FMI) and fat-free mass index (FFMI) with cIMT. Methods: We conducted a cross-sectional study of 3,873 men and 9,112 women aged 20 years or older who lived in Miyagi prefecture, Japan. The FMI and FFMI were calculated as fat mass and fat-free mass divided by height squared, respectively. The indices were classified into sex-specific quartiles and were combined into 16 groups. The maximum common carotid artery was measured using high-resolution B-mode ultrasound. An analysis of covariance was used to assess associations between the combined FMI and FFMI with cIMT adjusted for age and smoking status. The linear trend test was conducted by stratifying the FMI and FFMI, scoring the categories from 1 (lowest) to 4 (highest), and entering the number as a continuous term in the regression model. Results: In multivariable models, a higher FMI was not related to higher cIMT in men and women in most FFMI subgroups. Conversely, a higher FFMI was related to higher cIMT in all FMI subgroups (p＜0.001 for linear trend). Conclusions: FMI was not associated with cIMT in most FFMI subgroups. Conversely, FFMI was positively associated with cIMT independently of FMI.     

Prevalence of low fat-free mass index and high and very high body fat mass index following lung transplantation

The aim of this study was to determine the prevalence of low fat-free mass index (FFMI) and high and very high body fat mass index (BFMI) after lung transplantation (LTR). A total of 37 LTR patients were assessed prior to and at 1 month, 1 year and 2 years for FFM and compared to 37 matched volunteers (VOL). FFM was calculated by the Geneva equation and normalized for height (kg/m(2)). Subjects were classified as FFMI "low", 8.2 kg/m(2) in men and >11.8 kg/m(2) in women. In 23 M/14 F, body mass index (BMI) was 22.3+/-4.4 and 20.1+/-4.9 kg/m(2), respectively. The prevalence of low FFMI was 80% at 1 month and 33% at 2 years after LTR. Prevalence of very high BFMI increased and was higher in patients than VOL after LTR. The prevalence of low FFMI was high prior to and remained important 2 years after LTR, whereas BFMI was lower prior to and higher 2 years after LTR.     

Body composition in Swedish old people aged 65-99 years, living in residential care facilities

It is important to evaluate body composition changes in subjects with an existing multi-system reduction in capacity, as a small decrease in fat-free mass (FFM) can cause serious impairments. The aim of the study was to describe body composition in old people living in institutions. Body composition data were collected within a study of 173 subjects with functional and cognitive impairment, aged 65-99 years, and living in residential care facilities. A bioelectrical impedance spectrometer (BIS) (Xitron Hydra 4200; 5-1000 kHz) was used to assess the amount of both FFM and fat mass (FM) which where adjusted for height. The Harpenden caliper and a tape measure were used to assess body fat, arm-muscle and arm-fat area (mm(2)). A large proportion of the old and functionally impaired population was at risk of malnutrition or already malnourished (63.4% vs. 17.4%) according to Mini-Nutritional Assessment (MNA). Women had significantly lower fat-free mass index (FFMI) and higher FMI, inversely related to age, than men. Bioelectrical impedance spectroscopy and anthropometrical measurements correlated but on different levels. In addition the FM% differed between the two methods (46.3% vs. 33.4%).     

Body composition in patients with chronic hypercapnic respiratory failure

STUDY OBJECTIVE: To evaluate the contribution of body composition measurements to clinical assessment in patients on home nasal positive-pressure ventilation for chronic hypercapnic respiratory failure (CHRF), and their relationship to respiratory impairment. METHODS: Patients with CHRF (restrictive lung disease (RLD), n=37; chronic obstructive pulmonary disease (COPD), n=19), during elective yearly evaluations underwent pulmonary function testing (forced expiratory volumes, arterial blood gases, maximal inspiratory and expiratory pressure (PI(max) or PE(max))), and bioelectrical impedance analysis to determine fat-free mass (FFM) index (kg/m(2)) and body fat mass index. RESULTS: When compared with age- and sex-matched healthy controls, RLD patients (OR 5.5, CI 1.9-15.6, P<0.002) and COPD (OR 5.2, CI 1.1-24.9, P=0.04) were significantly more likely to have a low FFM index. Roughly one-half of patients with RLD and one-third with COPD had abnormally low FFM index. Estimation of nutritional status by body mass index (BMI) alone clearly underestimated the prevalence of FFM index depletion. Muscle mass assessed by FFM index explained 26% of variance of PI(max) (P<0.001) and 27% of that of PE(max) (P<0.001). CONCLUSION: BMI alone clearly underestimated FFM depletion, and presence of a very high body fat mass index. Indeed, normal or high BMI can be associated with FFM depletion. Because of its relationship to respiratory muscle strength, an assessment of FFM appears to be valuable in CHRF.     

What community measurements can be used to predict bone disease in patients with COPD?

BACKGROUND: Osteoporosis is common in patients with COPD. Previously we have reported that loss of fat-free mass (FFM), measured by dual X-ray absorptiometry (DXA) is associated with loss of bone mineral density (BMD). In addition, in patients with a low body mass index (BMI) and a low FFM, all had evidence of bone thinning, 50% having osteopenia and 50% osteoporosis. We explored the utility of different anthropometric measures in detecting osteoporosis in a community-based COPD population. METHODS: Patients with confirmed COPD and not on long-term oral corticosteroids (n=58) performed spirometry. They underwent nutritional assessment by skinfold anthropometry, midarm circumference, calculation of both % ideal body weight (IBW) and BMI. All had DXA assessment of BMD. RESULTS: A total of 58 COPD patients had anthropometric measurements taken, with a mean age of 66.8 (SD 8.7) years, 31 (58%) were male, with a forced expiratory volume in 1s (FEV(1)) of 54.17 (20.18)% predicted. Osteoporosis was present at either the hip or lumbar region in 14 patients (24%). The useful anthropometric measurements identifying those with osteoporosis were both % IBW and BMI. The adjusted odds ratio for %IBW was 0.93 (95% confidence interval (CI) 0.87, 0.99), p=0.016 and for BMI: 0.79 (0.64-0.98), p=0.03. The receiver operating characteristics (ROC) score for both was 0.88, indicating a good fit. CONCLUSION: Osteoporosis is common, even in patients with mild airways obstruction. Nutritional assessment, incorporating a calculation of their BMI or %IBW may confer an additional benefit in detecting those at risk of osteoporosis and guide referral for BMD measurement.     

A comparison of the sensitivity and specificity of anthropometric measurements to predict unhealthy metabolic phenotype in overweight and obese women

Aim

Metabolically Healthy Obese (MHO) is called to obese people that their insulin sensitivity, lipid profiles and inflammatory profiles are favorable, and there are no signs of hypertension and cardio-metabolic diseases. The metabolically unhealthy obese (MUHO) is the opposite. A Body Shape Index (ABSI) is a marker to identifying abdominal obesity that is derived from weight, height and waist circumference (WC). Several studies have reported ABSI is associated with diabetes, metabolic syndrome, hypertension and higher mortality rate.

Body mass and fat-free mass indices in COPD: relation with variables expressing disease severity

BACKGROUND: COPD primarily affects the lungs but also produces systemic consequences that are not reflected by the recent staging according to Global Initiative for Chronic Obstructive Lung Disease (GOLD) guidelines. Body mass index (BMI) and fat-free mass index (FFMI) represent different aspects of nutrition abnormalities in COPD. We investigated whether BMI and FFMI could be related to parameters expressing airflow obstruction and limitation, exercise capacity, airway inflammation, and quality of life, and whether they would reflect the GOLD staging of the disease. METHODS: One hundred patients with clinically stable COPD equally classified into the five stages of the disease were evaluated for BMI, FFMI (measured by bioelectrical impedance analysis), airway obstruction and hyperinflation (FEV(1), FEV(1)/FVC, inspiratory capacity), exercise capacity (6-min walk distance [6MWD], Borg scale before and after 6MWD]), chronic dyspnea using the Medical Research Council (MRC) scale, airway inflammation (sputum differential cell counts, leukotriene B(4) in supernatant), and quality of life (emotional part of the chronic respiratory disease questionnaire). RESULTS: 6MWD was significantly associated with both BMI and FFMI values, while FFMI additionally presented significant correlations with MRC scale, percentage of predicted FEV(1), and FEV(1)/FVC ratio. No association was observed between the two nutritional indexes. BMI was not statistically different among patients in the five stages of COPD, while FFMI reflected the staging of the disease, presenting the highest values in stage 0. CONCLUSIONS: Nutritional status is mainly related to exercise capacity. FFMI seems to be more accurate in expressing variables of disease severity, as well as the current staging compared to BMI.     

COPD患者膳食摄入与去脂体质量指数的关系研究

目的 去脂体质量指数(fat-free mass index,FFMI)的减少是COPD的重要预估因素,本研究的目的主要是分析COPD患者营养状态与FFMI的关系.方法 根据2016年慢性阻塞性肺疾病全球倡议中COPD分组,选择分在C和D组的84例COPD男性患者,膳食摄入用食物频率问卷,评估身高、体质量、中上臂肌围(MUAC).数据由SPSS 18.0分析.结果 平均年龄(65.7±9.8)岁,所有患者中(21例)25.0％低于正常体质量(BMI＜21 kg/m2),(30例)35.7％的患者FFMI低于正常,FFMI＜ 16 kg/m2;与正常FFMI相比,在低FFMI患者中日常奶制品(t=-3.71,P=0.004)、红色肉类(t=-2.17,P=0.033)、水果(t=-3.97,P=0.002)摄入明显减少,正常FFMI的患者身高(t=-2.35,P=0.021)、体质量(t=-9.16,P=0.000)、MUAC(t=6.68,P=0.000)明显升高.结论 重视低FFMI的COPD患者,并评估营养状况、制订膳食策略,从而改善疾病的预后.     

The Change in Body Composition After Bilateral Lung Volume Reduction Surgery for Underweight Patients with Severe Emphysema

The aim of this study was to examine the short-term effect of lung volume reduction surgery (LVRS) on body composition and other nutritional indicators in 28 patients with emphysema underwent thoracoscopic LVRS. Functional tests, body weight (BW), and body composition were measured before and 6 months after surgery. Mean daily caloric intake (CI) was estimated by 3-day dietary record as well. Fat-free mass (FFM) and fat mass (FM) were assessed by bioelectrical impedance analysis (BIA). FEV_1.0 and Vo _2max have improved after LVRS by 35.2% and 23.8%, respectively. Preoperatively, 75% of patients were underweight (% ideal body weight (%IBW) <90) with the mean %IBW at 84.5%. BW, CI, and FFM increased significantly after LVRS, whereas FM was unchanged. The change in BW correlated significantly with the change in FEV_1.0, MVV, and Vo _2max (p < 0.01) but not with CI. Bilateral LVRS results in an increase in FFM and functional improvement for underweight patients with severe emphysema, and it may contribute to the improvement in maximal exercise capacity. Accepted for publication: 12 December 2000     

Body composition and resting energy expenditure in clinically stable, non-weight-losing patients with severe emphysema

STUDY OBJECTIVES: To characterize the metabolic status of weight-stable and clinically stable individuals with advanced emphysema. PATIENTS: Seventy-nine patients with severe emphysema (FEV(1), 29 +/- 13% of predicted [mean +/- SD]) evaluated for enrollment in the National Emphysema Treatment Trial and 20 age-matched healthy subjects were studied. SETTING: Pulmonary function laboratory of university-affiliated teaching hospital. INTERVENTIONS: Data collection. Measurements and results: We measured lung function, body composition, serum leptin levels, serum tumor necrosis factor receptors (sTNF-Rs), resting oxygen consumption (RVO(2)) normalized to weight in kilograms (RVO(2)/kg), and RVO(2) normalized to fat-free mass (FFM) [RVO(2)/FFM]. The patient group and healthy group had similar age, body mass index (BMI), and body composition. RVO(2)/kg, RVO(2)/FFM, and sTNF-R levels were higher in patients compared to healthy subjects. There were no differences in serum leptin levels between emphysematous and healthy subjects, and there was no correlation between leptin and sTNF-R and RVO(2)/kg. Furthermore, both groups had similar gender-related differences in FFM, percentage of body fat, and serum leptin levels. Patients with lower BMI showed the greatest differences from control subjects in RVO(2)/kg. CONCLUSION: In weight-stable subjects with advanced emphysema, RVO(2)/kg and RVO(2)/FFM were higher compared to healthy subjects, especially in those with BMI in the lower end of the normal range. RVO(2)/kg and RVO(2)/FFM did not correlate with leptin or sTNF-R levels. These data show that a higher metabolic rate is found in patients with emphysema who are clinically and weight stable. Thus, hypermetabolism is a feature of the disease and not sufficient to lead to weight loss.