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Original Research Communications |
1 From the Division of Gastroenterology and Nutrition, The Cystic Fibrosis Center, The Children's Hospital of Philadelphia; the Department of Pediatrics and Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania School of Medicine, Philadelphia; and the Wisconsin School of Medicine, Madison.
2 Supported by The Cystic Fibrosis Foundation, the Nutrition Center, and the General Clinical Research Center (RR-00240) of The Children's Hospital of Philadelphia. 3 Address reprint requests to BS Zemel, Division of Gastroenterology and Nutrition, The Children's Hospital of Philadelphia, 34th Street and Civic Center Boulevard, Philadelphia, PA 19104-4399. E-mail: zemel{at}email.chop.edu.
| ABSTRACT |
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Objective: The objective was to compare changes in growth, body composition, and nutritional status between children with and without CF.
Design: This was a prospective 3-y cohort study of 25 children aged 510 y with CF, mild pulmonary disease, and pancreatic insufficiency and of 26 healthy control children. Three methods were used to assess body composition: measurements of skinfold thickness, total body water by deuterium oxide, and total-body electrical conductivity. Growth and body-composition changes over time were analyzed by a longitudinal mixed-effects model.
Results: Over the 3 y of the study, the statural growth of the boys with CF was slower than that of the control subjects (P = 0.004). The same divergence over time between the boys with and without CF was observed for fat-free mass assessed by skinfold-thickness measurements and total body water (P = 0.008 and 0.02, respectively) and for fat mass assessed by skinfold-thickness measurements and total-body electrical conductivity (P = 0.009 and 0.001, respectively). The differences in the pattern of changes in growth and body composition were less striking for girls.
Conclusions: Despite comprehensive care, the growth of boys with CF was impaired on the basis of height, fat-free mass, and fat mass, when observed longitudinally. Caution should be used when interpreting cross-sectional measurements because they often do not detect suboptimal growth.
Key Words: Body composition children cystic fibrosis deuterium oxide genotype growth longitudinal studies mixed-effects model nutritional status respiratory function tests total-body electrical conductivity total body water
| INTRODUCTION |
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To evaluate growth more fully, investigators have recommended the use of several methods of body-composition assessment (8, 9). Furthermore, prospective examinations of the changes in body composition provide insight into the mechanisms that underlie body-composition deficits in CF. In the current study, changes in FFM and FM were evaluated prospectively by using 3 different methods. At the initiation of this longitudinal study of preadolescent children, FFM and FM were similar by design in both groups (10).
The purpose of this study was to characterize over 3 y the longitudinal changes in body composition and growth of clinically stable prepubertal children with CF, mild pulmonary disease, and pancreatic insufficiency, and to compare these changes with those observed in healthy control children. The influence of age and sex on these changes was also examined.
| SUBJECTS AND METHODS |
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F508 allele, those heterozygous for the
F508 allele, and those with non-
F508 alleles. Genotypes were not obtained for control subjects. The protocol was approved by the Institutional Review Board at The Children's Hospital of Philadelphia. Informed, written consent was obtained from the parents of the children. All studies were conducted during an 18-h overnight admission to the General Clinical Research Center and all measurements were made at the Nutrition and Growth Laboratory.
Anthropometric and body-composition evaluations
Weight, height, midupper arm circumference, and skinfold thickness (SFT) at the triceps, biceps, subscapular, and suprailiac sites were measured in triplicate by using standard methods (12). One well-trained anthropometrist conducted the evaluation in the first year; a second well-trained anthropometrist conducted the evaluation in subsequent years. Pubertal development was scored according to Tanner (13). The average of the genital and pubic hair development scores was used in the analysis.
Upper arm muscle area was calculated from anthropometric measures (14). FFM and FM were measured by using several methods of body-composition assessment because no single method is recognized as optimal for children with CF. First, FFM and FM were computed from SFT measurements at 4 sites with the use of age- and sex-appropriate prediction equations (15, 16).
Total body water (TBW) was measured by the deuterium oxide (2H2O) dilution method (17). A baseline urine sample was obtained and then 2H2O was administered orally 1.5 h after consumption of a standardized evening meal. The dose (0.14 g 2H2O/kg estimated total body water) was of 99.8 or 99.9 atom percent deuterium (Aldrich Chemical, Milwaukee). Urine was collected overnight and pooled with the first urine sample of the morning. The volume and deuterium concentration of the pooled sample were used to estimate isotope losses during the equilibration period. The second morning urine sample was collected and analyzed to calculate TBW. Urinary 2H2O isotopic abundance was measured by isotope ratio mass spectroscopy (18) (Nuclide 6-60; State College, PA) by 1 of 2 laboratories (Global Geochemistry Corporation, Canoga Park, CA, or Metabolic Solutions, Merrimack, NH). Agreement between laboratories was established by analyzing duplicate samples. FFM and FM were derived from TBW by using a hydration factor of 75.3% for prepubertal children (19).
Body composition was also determined by total-body electrical conductivity (TOBEC) (HA-2; EmScan, Springfield, IL). The TOBEC instrument contains a low-energy electromagnetic field through which the subject moves on a gantry table. Changes in the energy field are caused by the conductivity of the water and electrolytes in the FFM (8, 20, 21). These measured changes are used to determine FFM and FM on the basis of age-appropriate calibration equations.
Statistical analysis
Heights and weights were compared with National Center for Health Statistics reference standards (22), and z scores (SD scores) were calculated with the ANTHROPOMETRIC SOFTWARE PROGRAM (version 3.1, 1988; Centers for Disease Control and Prevention, Atlanta). Means and CIs for growth and body-composition measures were calculated by group and sex at each time point and plotted to examine time trends. Baseline group comparisons were made by using a two-sample t test. Comparisons of the changes between groups from the beginning to the end of the study were made by using a two-sample t test when the distribution was normal and by using Wilcoxon's rank-sum test when the distribution was not normal.
Comparisons of body-composition methods for individual measurements were described by using a Spearman's rho correlation coefficient and by calculating the mean differences between methods. All reported P values are two-tailed and values
0.05 were considered significant. The longitudinal mixed-effects model of Laird and Ware (23) was used to examine longitudinal trends. This approach allows analysis of the linear association between repeated measurements of an outcome variable and both time and other explanatory variables such as CF group and control group. The data from all subjects were included in the analysis, even when some subjects did not have a complete set of measurements. Therefore, this analysis was more likely to detect differences undetected by simple comparison of differences between groups. A random effect was included in each model to account for within-subject random variability. The models examined changes over time in growth and body composition, and whether patterns of change were different between the CF and control groups. Parameter estimates, as in regression analysis, indicate the contribution of the independent variable to the model. For example, the parameter estimate for the time variable estimates the rate of change in the dependent variable over time. Boys and girls were analyzed separately because of the expected sex differences in growth and body composition. Statistical evaluation was conducted by using STATA 5.0 (STATA Corp, College Station, TX).
| RESULTS |
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F508/
F508 genotype, 7 had the
F508/other genotype, and 4 had the other/other genotype. Boys and girls were evenly distributed in the genotype groups. There was one child of African ancestry in the CF and the control groups; all other children were of European ancestry.
Of 204 potential subject visits over 3 y (4 annual visits for the 51 subjects), subjects completed a total of 185 visits (91%). Anthropometric evaluations of growth were completed at each visit. However, because of occasional equipment or protocol failure, not all methods were used for each subject at each study visit. There were 182 sets of SFT measurements, 181 TBW measurements, and 173 TOBEC measurements of body composition. One subject with CF and one control subject were seen only once. The sample sizes for each measurement at each time point are shown in Table 1
. TOBEC was not assessed in 9 of 25 CF subjects and in none of the 26 control subjects at the beginning of the study (baseline) because this method was not available at the time. Sex distribution, age, height, and height-for-age z (HAZ) score were similar between the 9 children in whom TOBEC was not measured and the 16 children in whom TOBEC was measured. The former group, however, was on average heavier (26.4 compared with 22.5 kg; P = 0.03) and had a higher weight-for-age z (WAZ) score at baseline (0.19 compared with 0.60; P = 0.02) than did the latter group. Because these differences could introduce a bias in the longitudinal analysis, an alternate model was constructed that did not include the TOBEC measurements of the children with CF in the first year. The results were the same, with minor exceptions as discussed below. The consistency between the results of the different body-composition methods for each individual FFM measurement was as follows (number of observations, Spearman's rho, percentage mean difference): TBW versus TOBEC (169, 0.97, 4.0%), TBW versus SFT (178, 0.95, 0.4%), and TOBEC versus SFT (170, 0.97, 4.8%). For FM, the values were as follows: TBW versus TOBEC (169, 0.81, 39.3%), TBW versus SFT (178, 0.67, 21.0%), and TOBEC versus SFT (170, 0.83, 18.0%).
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| DISCUSSION |
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This study was designed to assess longitudinal changes in growth, body composition, energy expenditure, and pulmonary function in children with adequate growth status and mild pulmonary symptoms of CF (34). Control subjects were therefore selected at baseline to be similar in age and weight to the children with CF, explaining the initial similarities between the 2 groups, except for HAZ scores in boys. The decrease in WAZ scores with time in boys and girls in both groups may have resulted from impairments in nutritional status in the children with CF, but was not easily explained in the control children. In boys, greater differences in HAZ scores over time were observed between the CF and control groups. This finding emphasizes the fact that even when cross-sectional anthropometric indexes are comparable between CF and control groups, CF subjects may suffer a delay in statural growth, a phenomenon best observed in longitudinal studies.
Similarly, by design, total weight and FFM were comparable at baseline between the 2 groups. However, boys with CF gained less FFM than did control boys over the 3 y of the study. The present study suggests that the girls with CF and the control girls had similar increases in FFM during the entire study period. When the TOBEC determinations over the first year for girls with CF were not included in the analysis, this interaction term became significantly negative, suggesting that subjects with CF gained more FFM than did control girls. This result should, however, be interpreted with caution. The growth deficiency in FFM observed in boys with CF might reflect the energy deficit experienced by these children because no dietary protein deficiency was observed (35).
The dietary data at the initiation of this study suggest that the children with CF had normal growth with energy intakes that were higher than those of the control subjects, yet lower than the recommended intakes for children with CF (35). The present longitudinal study showed that dietary intakes at this level were likely insufficient to ensure normal growth over the 4 y of follow-up. Unlike FFM, upper arm muscle area did not differ significantly between the CF and control groups. This difference emphasizes the limitation of change in upper arm muscle area as an indicator of FFM changes. In an evaluation of fat stores, and thus of cumulative energy stores over the 3 y of the study, boys with CF gained significantly less FM than did control boys and girls with CF. This difference is explained by the relative energy deficit in boys with CF. The sex difference in FM change was unexpected because boys usually have a better survival rate than do girls. This result suggests a possible interaction between sex, growth, and survival that should be investigated. An alternative explanation is that sex differences in FM are unrelated to survival.
Although the absolute differences between the children with CF and the control children were small, they were thought to be clinically significant for the following reasons. First, follow-up was limited to 3 y and the observed growth deficits likely were cumulative over childhood. Second, by design, the control group was selected to be of similar weight to the children with CF at baseline. Therefore, the control group might have been genetically smaller than the general population, thus underestimating the growth deficit observed in the children with CF. Third, the group of children with CF was selected to have only mild pulmonary symptoms; therefore, it can be speculated that in a more representative group of children with CF, the growth deficit over 3 y would have been larger than the one observed in the present study. The agreement between the results of the longitudinal analyses obtained with the 3 methods of body-composition assessment further supports the conclusions of this study. CF genotype group was not associated with body-composition changes, in contrast with the changes in pulmonary function observed in some studies (36). A larger sample in each genotype group as well as inclusion of subjects without pancreatic insufficiency may, however, be necessary to detect such differences.
In conclusion, the results of this longitudinal study indicate that children with CF do not grow at an optimal rate on the basis of the growth rates observed in the group of healthy control subjects, despite comprehensive care that includes nutrition education. The boys with CF tended to gain less FFM and less FM than did control boys, and less FM than did girls with CF. Therefore, cross-sectional assessments of children with CF need to be interpreted with caution and optimal nutritional and overall clinical care can only be evaluated after careful longitudinal observations of appropriate growth over several years. It is recommended that better surveillance of growth and body composition should be conducted in children with CF by using standard protocols, accurate equipment, and well-trained observers, to allow earlier recognition and treatment of suboptimal growth.
| ACKNOWLEDGMENTS |
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| REFERENCES |
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