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Original Studies |
Endocrine Unit, Department of Pediatrics, University of Pisa, Pisa, Italy
Address all correspondence and requests for reprints to: Giampiero I. Baroncelli, Endocrine Unit, Department of Pediatrics, University of Pisa, Via Roma 35, Pisa, Italy I-56125.
| Abstract |
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| Introduction |
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In this study we assessed lumbar BMC and BMDarea by DEXA measurement in children with GHD at diagnosis and in sex- and age-matched controls. In patients, BMDarea was corrected for body height, body mass index (BMI), and bone age to examine the influence of these anthropometric variables on BMDarea. In addition, BMDvolume was calculated to evaluate the dependency of BMDarea on bone size.
| Materials and Methods |
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Twenty-two caucasian prepubertal children (13 males and 9 females) aged 6.18.0 yr with isolated GHD were examined at diagnosis before the start of GH replacement therapy. All patients fulfilled the clinical and diagnostic criteria for GHD: GH peaks less than 10 µg/L after two provocative pharmacological stimuli (levodopa and insulin tolerance test) and/or reduced spontaneous GH secretion for 24 h (mean GH concentrations <3 µg/L) (19). All patients had normal weight and length at birth, had normal renal and liver function, and did not take drugs known to affect bone or mineral metabolism. There was no history of any other chronic illness or bone disease. Karyotype, examined in all girls, was 46,XX. Three patients (2 males and 1 female) had taken part in a previous study investigating the effect of long-term recombinant human GH treatment on BMDarea (5).
Forty healthy caucasian prepubertal children (21 males and 19 females) aged 6.08.0 yr were enrolled as sex- and chronological age-matched controls. To have appropriate controls for bone age of patients, 35 healthy caucasian prepubertal children (18 males and 17 females) aged 3.06.0 yr were enrolled in the study as sex- and bone age-matched controls. The controls were friends or relatives of the patients, children or friends of hospital staff members, or siblings of patients who attended our hospital outpatient clinic. All controls were healthy with no known medical illness, and did not receive drugs known to affect bone or mineral metabolism.
Anthropometric data in patients and sex- and chronological age-matched
controls are reported in Table 1
. Dietary
calcium intake and physical activity did not differ [P
= not significant (NS)] between patients and controls (calcium intake:
871 ± 34 mg/day and 882 ± 37 mg/day, respectively; physical
activity: no activity 86.3 ± 2.7% week h and 85.6 ± 2.5%
week h, respectively; moderate activity 13.7 ± 2.6% week h and
14.4 ± 2.4% week h, respectively). No patient experienced a
history of bone fractures or had vertebral deformities.
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In all patients and sex- and chronological age-matched controls BMC, BMDarea, bone area, and bone dimensions (width and height) were detected in the lumbar spine at L2-L4 level. In all patients, BMDarea was corrected for body height (BMDheight) and BMI (BMDBMI). In both patients and controls, bone volume and BMDvolume were calculated. The values of the parameters of bone mass (BMC, BMDarea, BMDheight, BMDBMI, and BMDvolume), bone area, bone volume, and bone dimensions of patients were compared with those of controls. In addition, BMDarea of patients was corrected for their bone age (BMDBA) comparing the BMDarea value with that of sex- and bone age-matched controls.
Informed consent to perform the study was obtained from the parents of each child. The study was approved by the ethics committee for human investigation of our department.
Assessment of anthropometric findings
Standing height was measured with a wall-mounted stadiometer by one of us. To allow a comparison between different ages and genders, height was expressed as Z score with respect to height SD according to the method of Tanner et al. (20) by using the formula: measured individual value-mean normal value for age and gender/SD of normal mean. Bone age was evaluated by using the Greulich and Pyle method (21). BMI was calculated using the formula wt (kg)/height (m2). Dietary calcium intake and physical activity rate were estimated by questionnaires as previously described (22). Physical activities were arbitrarily graded as no activity (e.g. sleeping, eating, studying, watching television, or listening to music) or moderate activity (e.g. walking, cycling, playing) (22). Vertebral deformities were excluded by conventional radiographs.
Assessment of lumbar bone mineral content, areal and volumetric bone mineral density, and bone size
Lumbar BMC (expressed as grams) and BMDarea
[BMC corrected by the vertebral surface area scanned, expressed as
grams per centimeter squared (g/cm2)] were measured by
posteroanterior DEXA (Lunar DPX-L/PED, Lunar Radiation Corp., Madison,
WI) in the lumbar spine at L2-L4 level, a site that provides a measure
of integral (cortical plus trabecular) bone. In patients,
BMDheight and BMDBMI (expressed as
g/cm2) were calculated by using the predicted equation
describing the relationship between BMDarea
(g/cm2) and body height (centimeters) or BMI in
chronological age-matched controls, respectively. BMDBA was
obtained using bone age instead of chronological age to compute the Z
score. BMDvolume (expressed as g/cm3) was
calculated as BMC per bone volume. The estimation of L2-L4 volume was
based on the method proposed by Kroger et al. (7); in this
model the lumbar vertebral body was assumed to have a cylindrical
shape. The validity of this model was assessed using in vivo
volumetric data obtained from magnetic resonance imaging of lumbar
vertebrae (23). The bone volume of each vertebral body was calculated
as follows: volume =
x (diameter/2)2 x height,
where diameter = width of vertebral body, and height = height
of vertebral body. Width, height, and bone area were provided by the
DEXA software program. The values of BMC, BMDarea, width,
height, and bone area of each subject represented the means of two
scans. The results were calculated as Z score by using the same formula
we employed to calculate height Z score. The coefficient of precision
in vivo was less than 1.0%.
Statistical analysis
The results are expressed as mean ± SD. Comparison of the data was determined with the nonparametric Wilcoxons (Mann-Whitney) rank-sum test. Simple and multiple regression analysis were carried out between parameters of bone mass and the anthropometric variables. For multiple regression analysis, independent variables included chronological age, body height, BMI, and bone age. A P < 0.05 was considered significant. All statistical analyses were carried out using the SPSS for Windows software program, version 5.0 (SPSS Inc., Chicago, IL).
| Results |
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Statural age, height, and BMI of patients were significantly lower
than those of chronological age-matched controls (Table 1
). The mean
value of statural age, bone age/chronological age ratio, and height Z
score was similar between male and female patients.
Lumbar bone mineral content, areal and volumetric bone mineral density, and bone size in patients and controls
Mean values of BMC and vertebral width, height, bone area, and
bone volume of both male and female patients were significantly lower
than those of chronological age-matched controls (Table 2
). Expressed as Z score, mean BMC was
-3.31 ± 0.60 (-36.0%), mean width -1.30 ± 0.44
(-20%), mean height -2.90 ± 0.79 (-21%), mean bone area
-1.56 ± 0.70 (-15%), and mean bone volume -2.36 ± 0.49
(-32%). Bone area/bone volume ratio was significantly higher
(P < 0.0001) in patients (0.53 ± 0.02) than in
chronological age-matched controls (0.42 ± 0.08), indicating that
bone volume of patients was affected in a greater extent than their
bone area.
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Linear regressions between chronological age, body height, BMI, or
bone age, and BMDarea or BMDvolume in patients
are illustrated in Table 3
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BMDarea correlated significantly with chronological age,
body height, BMI, and bone age, whereas BMDvolume did not.
In patients, BMDarea was significantly correlated with
bone area (r2 = 0.391, P < 0.005), whereas
BMDvolume was neither correlated with bone area
(r2 = 0.090, P = NS), nor with bone volume
(r2 = 0.122, P = NS). To determine the
relative contributions of the anthropometric variables to
BMDarea and BMDvolume, multiple regression
analysis was performed. The anthropometric variables were
themselves highly intercorrelated (r2 = 0.4890.729,
P < 0.0001). The composite interaction of all
independent variables was predictive of BMDarea
(r2 = 0.534, P < 0.005) but not of
BMDvolume (r2 = 0.181, P = NS).
As independent predictor of BMDarea and
BMDvolume, no anthropometric variable reached
significance.
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| Discussion |
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Our data indicate that BMDarea removes only in part its dependency on bone size, suggesting that it is not an appropriate parameter to assess bone density in children with growth disorders, because the size of the error may be clinically relevant. Indeed, previous data demonstrated that BMDarea underestimated the apparent true bone density in adolescents (5) and adults (24) with GHD.
Lumbar BMDarea of patients was significantly correlated with chronological and bone ages, body height, and BMI, demonstrating that these anthropometric variables influenced BMDarea in children with GHD as found in healthy children (6, 7, 8, 9, 10). However, none of the anthropometric variables we examined was an independent predictor of BMDarea. Lumbar BMDheight, BMDBA, and BMDBMI of patients remained significantly lower in comparison with controls, indicating that short stature, delayed bone maturation, and reduced BMI may account, only in part, for the reduced BMDarea. On the contrary, in healthy children (7, 16, 17), anthropometric variables did not correlate with BMDvolume in children with GHD, suggesting that BMDvolume is a more appropriate parameter to estimate true bone density than BMDarea in these patients. The patients showed a significant reduction in BMDvolume, even though the degree of such a reduction was less than that indicated by measurement of BMDarea. Indeed, as skeletal growth leads to a much greater change in bone volume than in bone area (15), it is possible that growth failure mainly affects bone volume than bone area. The patients showed a percent reduction in bone volume approximately twice that in bone area, and their bone area/bone volume ratio was significantly higher than that of controls. These findings suggest that prepubertal children with GHD have reduced apparent true bone density, and that small vertebral size is a main factor in decreasing lumbar BMDarea. Our results are in agreement with those recently reported by Boot et al. (25) showing reduced lumbar BMDarea and lumbar BMDvolume in children with GHD. On the contrary, Lu et al. (26) showed reduced BMDarea but normal BMDvolume at femoral neck and femoral shaft assuming both regions to have a cylindrical shape. This discrepancy between lumbar and femoral BMDvolume may be caused by the method used to approximate the bone shape to calculate the apparent bone volume of these skeletal sites. In addition, a different bone structure in lumbar spine vertebral body and in femoral neck or femoral shaft may also influence the DEXA-derived BMDvolume. Indeed, in healthy children no relation was found between BMDvolume of femoral shaft and BMDvolume of lumbar spine, and between BMDvolume of femoral neck and BMDvolume of femoral shaft, by DEXA measurement (17). Furthermore, Gilsanz et al. (27) showed no correlation between the density of trabecular bone in the vertebral body and that of cortical bone in the femur in prepubertal healthy children, by quantitative computed tomography.
Although DEXA-derived bone volume was a better parameter to correct BMC than bone area, the mathematical extrapolation of bone volume is a surrogate of the anatomical size, and the resulting values are not directly comparable with values measured with quantitative computed tomography. On the other hand, mathematical models may overestimate bone volume underestimating BMDvolume, because vertebral body has concave superior, inferior, anterior, posterior, and lateral surface (7, 15). In fact, lumbar spine vertebrae body is neither a cylinder (7) nor a cube (15). However, in prepubertal children the overestimation of bone volume is probably smaller than in adolescents and adults, because the concavity of vertebral body affecting the calculation of bone volume is less pronounced (28). Moreover, the volume ratio between intervertebral disc and vertebra affecting the height of lumbar spine vertebrae body may also influence the calculation of bone volume leading to underestimate BMDvolume (7). Anyway, even though DEXA-derived BMDvolume is not a synonymous with true bone density, it can be used for normalization of BMD values in subjects of different body sizes reducing the large biological variation reported in BMDarea measurements mainly caused by the confounding influence of age-related bone geometry changes (7, 15).
In conclusion, our study demonstrates that anthropometric variables influence lumbar BMC and BMDarea but not BMDvolume in prepubertal children with GHD. Decreased bone size is a main factor in reducing lumbar BMDarea. Reduced lumbar BMDvolume indicates that children with GHD have a decreased apparent true bone density supporting a role for GH in bone mineralization. Further studies are needed to define whether true bone density is affected in children with GHD.
Received December 11, 1997.
Revised May 15, 1998.
Accepted May 29, 1998.
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