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Predicting the response to recombinant human growth hormone in Turner syndrome: KIGS models
Author(s) -
Ranke MB,
Lindberg A,
Chatelain P,
Wilton P,
Cutfield W,
AlbertssonWikland K,
Price DA
Publication year - 1999
Publication title -
acta pædiatrica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 115
eISSN - 1651-2227
pISSN - 0803-5253
DOI - 10.1111/j.1651-2227.1999.tb14420.x
Subject(s) - oxandrolone , medicine , turner syndrome , growth hormone , growth hormone treatment , human growth hormone , growth velocity , growth hormone deficiency , endocrinology , hormone , pediatrics
A mathematical model for predicting the growth response in patients with Turner syndrome who received growth hormone (GH) therapy was developed by analysing data from KIGS, the Pharmacia & Upjohn International Growth Database. A Model for year 1 of GH therapy explained 46% of the variability of the growth response, with GH dose being the most important of the predictors of height velocity. In years 2‐4 of therapy, height velocity during the previous year was the most important predictor, suggesting that an individual's initial response to GH may determine the height outcome of treatment. Additional treatment with oxandrolone. The predictions in all 4 years were highly accurate, as indicated by the low error SDs. However, relatively low predictive power ( R ) during years 2‐4 of treatment suggests the models are missing other parameters that would explain more of the variability of the growth response. These growth prediction models could help clinicians to design individualized treatment regimens, provide realistic expectations of therapy outcomes, and adjust treatment on the basis of detected differences between observed and predicted height velocities.