Individualised growth response optimisation (iGRO) tool: an accessible and easy-to-use growth prediction system to enable treatment optimisation for children treated with growth hormone

Jane Loftus, Anders Lindberg, Ferah Aydin, Roy Gomez, Mohamad Maghnie, Raoul Rooman, Heinz Steinkamp, Helmuth Doerr, Michael Ranke, Cecilia Camacho-Hubner

Research output: Contribution to journalReview article

Abstract

BACKGROUND: Growth prediction models (GPMs) exist to support clinical management of children treated with growth hormone (GH) for growth hormone deficiency (GHD), Turner syndrome (TS) and for short children born small for gestational age (SGA). Currently, no prediction system has been widely adopted.

CONTENT: The objective was to develop a stand-alone web-based system to enable the widespread use of an 'individualised growth response optimisation' (iGRO) tool across European endocrinology clinics. A modern platform was developed to ensure compatibility with IT systems and web browsers. Seventeen GPMs derived from the KIGS database were included and tested for accuracy.

SUMMARY: The iGRO system demonstrated prediction accuracy and IT compatibility. The observed discrepancies between actual and predicted height may support clinicians in investigating the reasons for deviations around the expected growth and optimise treatment.

CONCLUSIONS: This system has the potential for wide access in endocrinology clinics to support the clinical management of children treated with GH for these three indications.

Original languageEnglish
Pages (from-to)1019-1026
Number of pages8
JournalJournal of pediatric endocrinology & metabolism : JPEM
Volume30
Issue number10
DOIs
Publication statusPublished - Oct 26 2017

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Keywords

  • Journal Article
  • Review

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