Curve matching to predict growth in patients receiving growth hormone therapy: An interpretable & explainable method

Curve matching may be used to predict growth outcomes using data of patients whose growth curves resemble those of a new patient with growth hormone deficiency (GHD) and those born small for gestational age (SGA). We aimed to investigate the validity of curve matching to predict growth in patients w...

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Bibliographic Details
Published in:Frontiers in endocrinology (Lausanne) 2022-10, Vol.13, p.999077-999077
Main Authors: van Dommelen, Paula, Arnaud, Lilian, Koledova, Ekaterina
Format: Article
Language:English
Subjects:
curve matching
Endocrinology
growth disorders
growth hormone
growth hormone deficiency
paediatric
prediction model
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Summary:Curve matching may be used to predict growth outcomes using data of patients whose growth curves resemble those of a new patient with growth hormone deficiency (GHD) and those born small for gestational age (SGA). We aimed to investigate the validity of curve matching to predict growth in patients with GHD and those born SGA receiving recombinant human growth hormone (r-hGH). Height data collected between 0–48 months of treatment were extracted from the easypod™ connect ecosystem and the easypod™ connect observational study. Selected patients with height standard deviation scores (HSDS) [-4,
ISSN:1664-2392
1664-2392
DOI:10.3389/fendo.2022.999077