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Erschienen in: European Journal of Pediatrics 3/2017

Open Access 05.01.2017 | Original Article

Developmental charts for children with osteogenesis imperfecta, type I (body height, body weight and BMI)

verfasst von: Krzysztof Graff, Malgorzata Syczewska

Erschienen in: European Journal of Pediatrics | Ausgabe 3/2017

Abstract

Osteogenesis imperfecta (OI) is a rare genetic disorder of type I collagen. Type I is the most common, which is called a non-deforming type of OI, as in this condition, there are no major bone deformities. This type is characterised by blue sclera and vertebral fractures, leading to mild scoliosis. The body height of these patients is regarded as normal, or only slightly reduced, but there are no data proving this in the literature. The aim of this study is the preparation of the developmental charts of children with OI type I. The anthropometric data of 117 patients with osteogenesis imperfecta were used in this study (61 boys and 56 girls). All measurements were pooled together into one database (823 measurements in total). To overcome the problem of the limited number of data being available in certain age classes and gender groups, the method called reverse transformation was used. The body height of the youngest children, aged 2 and 3 years, is less than that of their healthy peers. Children between 4 and 7 years old catch up slightly, but at later ages, development slows down, and in adults, the median body height shows an SDS of −2.7.
Conclusion: These results show that children with type I OI are smaller from the beginning than their healthy counterparts, their development slows down from 8 years old, and, ultimately, their body height is impaired.
What is Known:
The body height of patients with osteogenesis imperfecta type I is regarded as normal, or only slightly reduced, but in the known literature, there is no measurement data supporting this opinion.
What is New:
Children with type I osteogenesis imperfecta are smaller from the beginning than their healthy counterparts, their development slows down from 8 years old and, ultimately, their final body height is impaired.
• The developmental charts for the body height, body weight and BMI of children with type I osteogenesis imperfecta are shown.
Hinweise
Communicated by Mario Bianchetti

Electronic supplementary material

The online version of this article (doi:10.​1007/​s00431-016-2839-y) contains supplementary material, which is available to authorized users.
Revisions received: 18 October 2016; 20 December 2016
Abkürzungen
BMI
Body mass index
OI
Osteogenesis imperfecta
SDS
Standard deviation score

Introduction

Osteogenesis imperfecta (OI) is a rare genetic disorder of type I collagen. Its frequency is estimated as 1 in 20,000. There are several forms of this disease. Sillence [10] proposed a classification into four types, based on radiographic, clinical and genetic data; in some studies, even more are described [3, 7]. The most common is type I, which is called a non-deforming type of OI [7], as in this condition, there are no major bone deformities. This type is characterised by blue sclera and vertebral fractures, leading to mild scoliosis. Functional level and intellectual development, as well as life expectancy, are normal. As this type is the mildest of all OI types, the body height of these patients is acknowledged as normal or only slightly reduced [3]. But in the known literature, there is no measurement data supporting this opinion.
The assessment of body height and growth is a very important measure of the state of health of children, and paediatric charts are universally used [8]. Abnormal body height and growth (height velocity) could be symptoms of an underlying disease and need further diagnostics and attention [4]. This information on body height and growth should be easily accessible to paediatricians in monitoring their patients’ condition. Children with many genetic disorders experience affected growth and body height, so using the charts of healthy children is unreliable and could lead to the overlooking of some secondary problems also affecting body height and growth. In the literature, there are studies which prepared the growth charts of children with specific disorders to aid the detection of additional problems influencing growth patterns [2, 5, 11].
The aim of the present study is the preparation of the developmental charts of children with osteogenesis imperfecta, type I.

Materials and methods

The anthropometric data of 117 patients with osteogenesis imperfecta type I according to the Sillence classification [10, 11] were used in this study (61 boys and 56 girls). The classification of OI patients into type I was retrospectively checked through the analysis of medical documentation and updated classification criteria. These children were being treated for their primary disease in The Children’s Memorial Health Institute and were being regularly measured. Children with comorbidities which could influence their body development were excluded from the database. Also, the measurements of patients who were undergoing surgical interventions for bone trauma (due to accidental fractures) were excluded from the database. The patients in our group neither required rodding nor had developed deformities which needed surgical correction. None of the patients had scoliosis or vertebral compression fractures. None of the patients had received bisphosphonates. All measurements were pooled together into one database (823 measurements in total). The number of measurements per patient varied from 1 to 35, with a median of 5 measurements per patient. The youngest patient who was measured was 4 months old; the oldest 22 years old. The data for patients older than 18 were treated as the time point of 18 years old. Because of the very limited number of data related to children less than 2 years of age, the charts were prepared for ages from 2 to 18 years. For children older than 1 year, body height was measured using an anthropometer. They stood with an upright posture looking straight ahead, with both legs and feet together, knees and legs straight, shoulders relaxed and arms by their sides. The accuracy of the measurement was within approximately 0.1 mm.
To overcome the problem of the limited number of data being available for certain age and gender groups, the method called reverse transformation, previously used to prepare the development charts of children with achondroplasia, was applied [2]. This method is described in Appendix 1. In the first step, the individual data of each patient were converted into a number. This number represented the difference between the raw score and the population mean in terms of the population’s standard deviation. The data (body height, body weight and BMI) of the healthy Polish population of children and adolescents (body height, body weight and BMI) were used as a reference population database [9].
A statistical analysis was performed using Statistica, v.10.0 (StatSoft), and regression curves were prepared using Matlab software. The Student t test was used for comparisons and the Spearman rank-correlation coefficient for checking the dependence between age and the analysed variables.

Results

Body height

As there was no statistically significant difference between boys and girls in normalised body height (Student’s t test p = 0.777), the data were pooled together. The correlation coefficient showed the dependence of normalised body height on age (R = −0.293, p < 0.005). Therefore, from the pooled database, the median, the upper and lower quartile and the 10th and 90th percentiles were calculated for the normalised body height (Tab. I in the Supplementary material). From these data, reverse transformation facilitated the calculation of the median, the upper and lower quartiles and the 10th and 90th percentiles of age groups for boys and girls separately (Table 1 and Table 2).
Table 1
The median, the upper and lower quartiles and the 10th and 90th percentiles of the age groups as related to body height for boys (in cm)
Age
Median
25%
75%
10%
90%
2
84.89204
81.2654
88.57112
79.6784
91.28696
3
93.31849
90.11833
95.70166
88.21315
97.0441
4
102.4787
95.37272
104.6983
91.20108
106.2073
5
109.0085
101.165
111.119
96.5615
113.117
6
114.8016
108.4026
116.994
104.1582
118.7166
7
120.8548
115.8753
123.0254
111.332
126.6855
8
123.5981
117.6521
127.74
112.5773
131.6797
9
126.202
122.2035
132.5985
114.0085
135.5795
10
131.7498
125.1858
139.9767
115.3027
142.9444
11
136.2484
131.5344
141.6709
122.0418
147.1256
12
140.8479
136.2939
147.5215
130.5008
154.9249
13
141.3209
134.1996
150.5995
124.079
154.9494
14
150.2725
139.4889
158.8425
132.4303
170.0083
15
161.5509
152.1941
165.0046
145.1971
168.6923
16
165.7032
157.7666
168.6334
149.3242
174.6581
17
167.5017
157.38
172.6904
147.5777
177.796
18
160.8012
154.5041
167.7682
151.2121
174.7862
Table 2
The median, the upper and lower quartiles and the 10th and 90th percentiles of the age groups as related to body height for girls (in cm)
Age
Median
25%
75%
10%
90%
2
82.29803
78.26405
86.39034
76.4988
89.41122
3
92.4794
89.2698
94.8696
87.359
96.216
4
100.8426
93.80456
103.0409
89.67284
104.5354
5
108.2572
100.2917
110.4005
95.61659
112.4296
6
113.1992
106.338
115.5499
101.7871
117.3969
7
119.7171
114.2041
122.1202
109.174
126.1725
8
124.2652
118.9434
127.9723
114.4013
131.448
9
124.4686
120.0024
131.5164
111.0336
134.8009
10
130.9693
124.5024
139.0745
114.7655
141.9983
11
137.0286
131.8095
143.0321
121.2999
149.0712
12
140.6173
135.8027
147.6729
129.678
155.5
13
146.3231
141.4024
152.7346
134.4091
155.7403
14
151.0475
143.5876
156.9761
138.7045
164.7005
15
154.4546
146.1994
157.5017
140.0262
160.7552
16
155.1322
148.1499
157.7101
140.7226
163.0103
17
156.0317
147.5097
160.4002
139.2568
164.6988
18
148.6516
142.6408
155.3019
139.4983
162.0009
The regression equation describing the regression curves for the median, the lower and upper quartiles and the 10th and 90th percentiles for body height was
$$ \mathrm{Body}\ \mathrm{height}=a1+a2*\mathrm{age}+a3*{\mathrm{age}}^{\wedge 2} $$
The constants a1, a2 and a3 for the regression equations for boys and girls are presented separately in Tables II and III in the Supplementary material.
Figure 1 shows the developmental charts of body height for children with type I osteogenesis imperfecta—(a) boys and (b) girls.

Body weight

As there was no statistically significant difference between boys and girls in normalised body weight (Student t test t = −1.251, p = 0.211), the data were pooled together. The correlation coefficient showed the weak dependence of normalised body weight on age (R = −0.138, p < 0.005). Therefore, from the pooled database median, the upper and lower quartiles and 10th and 90th percentiles were calculated for the normalised body weight (Tab. IV in the Supplementary material). From these data, the reverse transformation facilitated the calculation of the median, the upper and lower quartiles and the 10th and 90th percentiles of the age groups for boys and girls separately (Table 3 and Table 4).
Table 3
The median, the upper and lower quartiles and the 10th and 90th percentiles of age groups as related to body mass for boys (in kg)
Age
Median
25%
75%
10%
90%
2
11.2688
9.6254
12.06575
8.78885
12.3842
3
13.83839
12.78503
14.8661
11.70089
15.89723
4
14.91476
12.71876
16.02008
11.35236
18.1624
5
17.09561
15.04583
19.0082
13.17359
22.65046
6
17.56953
15.39333
19.79006
13.66849
23.19944
7
20.51016
19.18152
22.45122
17.33388
26.60668
8
22.7997
17.85384
26.00109
15.23394
29.69451
9
24.16213
21.3046
28.92247
18.40066
34.05409
10
26.13356
21.99131
32.00372
17.71493
36.30377
11
29.20725
24.43875
38.59575
20.1735
47.67075
12
35.0093
29.39607
43.01018
24.99919
50.80383
13
34.73555
28.3001
44.5533
22.2846
52.80475
14
39.82025
30.3654
48.94635
23.22495
56.70485
15
48.12487
40.90735
52.60471
36.46899
65.41166
16
53.1368
45.40517
60.62117
43.10375
68.40986
17
54.84329
49.00226
59.67117
43.65459
71.2387
18
51.078
43.66276
58.07576
39.31898
75.05328
Table 4
The median, the upper and lower quartiles and the 10th and 90th percentiles of age groups as related to body mass for girls (in kg)
Age
Median
25%
75%
10%
90%
2
10.50776
8.93408
11.2709
8.13302
11.57584
3
13.51294
12.49038
14.5106
11.43794
15.51158
4
14.23985
12.30485
15.2138
11.10085
17.1015
5
16.4301
14.2203
18.492
12.2019
22.4186
6
17.65916
15.95276
19.40032
14.60028
22.07368
7
19.4056
17.5432
22.12645
14.9533
27.9513
8
23.2335
19.0152
25.96395
16.7807
29.11405
9
22.3015
19.5
26.9685
16.653
31.9995
10
26.1478
22.49905
31.3186
18.73215
35.10635
11
29.58709
25.00355
38.61143
20.90374
47.33443
12
33.7817
28.36783
41.49842
24.12711
49.01527
13
37.48655
32.7521
44.8763
28.3266
50.77975
14
42.0235
36.1996
47.6449
31.8013
52.4239
15
45.39462
40.0911
48.68646
36.82974
58.09716
16
45.6016
39.00004
51.99204
37.035
58.64232
17
44.33061
38.83434
48.87353
33.80231
58.1003
18
45
39.7034
49.9984
36.6007
62.1252
The regression equation describing the regression curves for the median, the lower and upper quartiles and 10th and 90th percentiles for body weight was
$$ \mathrm{Body}\ \mathrm{mass}=a1+a2*\mathrm{age}+a3*{\mathrm{age}}^{\wedge 2} $$
The constants a1, a2 and a3 for the regression equations for boys and girls are presented separately in Tables V and VI in the Supplementary material.
Figure 2 shows the developmental charts of body weight for children with type I osteogenesis imperfecta—(a) boys and (b) girls.

BMI

As there was a statistically significant difference between boys and girls in normalised BMI (Student’s t test = −2.839, p = 0.005), the data could not be pooled together. The correlation coefficient in both gender groups showed no dependence of normalised BMI on age (R = 0.031, p > 0.05 for boys and R = 0.023, p > 0.005 for girls). As there was no dependence on the age median or the upper and lower quartiles, the 10th and 90th percentiles were calculated for normalised BMI separately for boys and girls (Table VII Supplementary material). From these data, reverse transformation facilitated the calculation of the median, the upper and lower quartiles and the 10th and 90th percentiles of the age groups for boys and girls separately (Tables VIII and IX Supplementary material).
The regression equation describing the regression curves for the median, the lower and upper quartiles and the 10th and 90th percentile BMI was
$$ BMI=a1+a2*\mathrm{age}+a3*{\mathrm{age}}^{\wedge 2} $$
The constants a1, a2 and a3 for the regression equations for boys and girls are presented separately in Tables X and XI in the Supplementary material.
Figure 3 shows the developmental BMI charts for children with type I osteogenesis imperfecta—(a) boys and (b) girls.

Discussion

Syndrome-specific developmental charts have proved to be helpful in medical practice [2, 8, 12]. Children with various syndromes could suffer from other comorbidities, which also negatively influence their development. Without the proper reference database, it is difficult to decide whether the impaired growth is being caused by primary disease or also by secondary diseases. In the case of rare diseases, it is difficult to compile enough measurements during the developmental process to be able to create proper developmental charts.
In this study, we used the so-called reversed transformation method developed for the construction of developmental charts for another rare disease—achondroplasia [2]. This method, together with regression equations, enabled the construction of developmental charts for boys and girls of 2 to 18 years with type I osteogenesis imperfecta. For rare diseases, it is difficult to collect enough data broken down by gender and age groups to construct developmental charts. Therefore, some alternatives must be found. In some cases, the data were gathered from various sources and literature [12]. Our method is an alternative which can be used when there is an insufficient number of subjects. This method has a drawback: as the curves are calculated using regression equations, the pubertal growth spurt is smoothed and does not stand out; this is the limitation of such a measure.
This type of OI is the mildest one—patients do not suffer from bone deformations, and their body height is regarded as normal, or only slightly reduced. Our results show that the body height of the youngest children, aged 2 or 3 years, is less than their healthy peers (the median is an SDS of −1.2 in the case of 2-year-olds, and an SDS of −0.9 in the case of 3-year-olds). Older children, between 4 and 7 years old, catch up slightly, and their median body height is around an SDS of −0.5, but at later ages, the development slows down, and in adults, the median body height exhibits an SDS of −2.7. These results are consistent with the results of the study of Aglan et al. [1]. Their study included 124 OI patients, but only 16 with OI type I, the age range being from 0.9 to 10.75 years. The mean height of these patients was an SDS of −0.426. Even the tallest OI type I patients (the 90th percentile) were smaller than their average healthy peers (an SDS of −0.5). The longitudinal study of Germain-Lee [6] on 36 patients with OI type I patients showed that their final body height was reduced in comparison with their healthy peers. These results show that children with type I OI are smaller from the beginning than their healthy counterparts, their development slows down from 8 years old and ultimately, their body height is impaired.
A similar trend can be observed in the case of body weight, inasmuch as the ratio between body height and body weight in type I OI patients is similar to that in healthy subjects. This fact is reflected in the body mass index (BMI) which is similar in OI patients to the BMI of healthy children and adolescents.
The patients in this study were classified into type I OI according to the Sillence classification [10, 11], which is based on the phenotype. As this was a retrospective study, in the case of the majority of the patients, there were no data on their genotype.

Authors’ contributions

Krzysztof Graff—conception and design of the study, data acquisition (patients’ measurements), management of database, preparation of the manuscript, finding relevant references and final approval of the manuscript.
Malgorzata Syczewska—conception and design of the study, management of the database, analysis of the data, preparation of tables and charts, preparation of the manuscript, finding relevant references and final approval of the manuscript.

Compliance with ethical standards

This study was an opportunistic sample study in which anonymised data were extracted from a clinical database. All patients were being treated for OI as the primary disease, and body measurements were part of the clinical procedure. The database covered the years 1974–2013.

Funding

None.

Ethical approval

All the procedures performed in the studies involving patients were in accordance with the ethical standards of the institution on clinical practice and with the 1964 Helsinki Declaration, as amended. The parents or legal guardians of patients signed informed-consent forms (when such a requirement was introduced in Poland) in which they agreed to the treatment and all the diagnostic procedures required.

Conflict of interest

The authors declare that they have no conflict of interest.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Anhänge

Appendix 1

The individual data on each patient was standardised according to the following equation.
$$ {R}_{SDS}=\frac{R_i-{R}_N}{SD_N} $$
where
RSDS
the standardised results of the patient (body height, body weight or BMI)
Ri
the individual measurement of the patient (body height, body weight or BMI, respectively)
RN
the mean value of the age- and gender-matched reference database for a given variable (body height, body weight or BMI, respectively)
SDN
the standard deviation for the age- and gender-matched reference database for a given variable (body height, body weight or BMI, respectively)
To create the developmental charts, data from Tables I, VI and XI (standardised values) were transformed according to the following equation:
$$ {X}_i={X}_{jk}+{W}_s\times {S}_{jk} $$
where
-Xi
variable (body height, body weight or BMI) for the developmental chart
-Xjk
the mean for the j-age and k-gender of the variable from the reference database
-Ws
the standardised percentile for the given age of the variable (from Tables I, VI or XI, respectively)
-Sjk
the standard deviation for the j-age and k-gender of the variable from the reference database
The reference database for this study was reference data on healthy Polish children and adolescents [8].
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Metadaten
Titel
Developmental charts for children with osteogenesis imperfecta, type I (body height, body weight and BMI)
verfasst von
Krzysztof Graff
Malgorzata Syczewska
Publikationsdatum
05.01.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
European Journal of Pediatrics / Ausgabe 3/2017
Print ISSN: 0340-6199
Elektronische ISSN: 1432-1076
DOI
https://doi.org/10.1007/s00431-016-2839-y

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