Prediction of adult height based on automated determination of bone age.
BACKGROUND
Adult height prediction is a common procedure in pediatric endocrinology, but it is associated with a considerable variability and bias from the bone age rating.


OBJECTIVE
A new method for adult height prediction is presented, based on automated bone age determination.


METHODS
The method predicts the fraction of height left to grow from age and BoneXpert bone age. This is refined by drawing the prediction toward the population mean, or alternatively toward the height predicted from the parents' heights. Boys' body mass index and girls' height at menarche can be included optionally as predictors.


METHODS
A total of 231 normal children from the First Zurich Longitudinal Study (1ZLS) were followed from age 5 until cessation of growth with annual x-rays of the left hand. A total of 198 normal children from the Third Zurich Longitudinal Study were used for validation.


RESULTS
The root mean square error of adult height prediction (Tanner-Whitehouse 3 method in parentheses considered as standard for accuracy) on the 1ZLS was 3.3 cm (3.5 cm) for boys aged 10-15 yr and 2.7 cm (3.1 cm; P < 0.005 for difference to Tanner-Whitehouse 3) for girls aged 8-13 yr. High body mass index before puberty negatively affected adult height of boys, independent of bone age.


CONCLUSIONS
With the new method, adult height prediction has become objective because the dependence on manual bone age rating is eliminated. The method is well-suited to analyze large studies and provide a consistent body of evidence regarding the relation between maturation, body mass, and growth across populations, conditions, and ethnicities.
Thodberg
Hans Henrik
HH
Visiana, DK-2840 Holte, Denmark.
Jenni
Oskar G
OG
Caflisch
Jon
J
Ranke
Michael B
MB
Martin
David D
DD
D000293:Adolescent; D000365:Age Determination by Skeleton; D000465:Algorithms; D001331:Automation; D001827:Body Height / Q000502:physiology*; D015992:Body Mass Index; D001835:Body Weight; D001846:Bone Development / Q000502:physiology*; D002648:Child; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D008572:Menarche / Q000502:physiology; D015233:Models, Statistical; D010290:Parents; D011237:Predictive Value of Tests; D055815:Young Adult