Curve matching to predict growth in patients receiving growth hormone therapy

Title

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

 Author

van Dommelen, P.
Arnaud, L.
Koledova, E.B.

Publication year

2022

 Abstract

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,

 Subject

Curve matching
Growth disorders
Growth hormone
Prediction model
Paediatric
Growth hormone deficiency
Small for gestational age

 To reference this document use:

http://resolver.tudelft.nl/uuid:60fb8216-b337-4771-a919-1dac1d49f8fb

 DOI

https://doi.org/10.3389/fendo.2022.999077

 TNO identifier

977099

 Source

Frontiers in Endocrinology, 13 (13)

 Document type

article
Files
PDF dommelen-2022-curve.pdf