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Individualised growth response optimisation (iGRO) tool: an accessible and easy-to-use growth prediction system to

Jane Loftus1, Anders Lindberg1, Ferah Aydin1

  • 1.

Journal of Pediatric Endocrinology & Metabolism : JPEM
|September 14, 2017
PubMed

Insights

A new web-based system, iGRO, enhances growth prediction for children receiving growth hormone (GH) therapy for growth hormone deficiency (GHD), Turner syndrome (TS), and small for gestational age (SGA) conditions.

Area of Science:

  • Pediatric Endocrinology
  • Biostatistics
  • Clinical Informatics

Background:

  • Clinical management of pediatric growth relies on growth prediction models (GPMs).
  • Existing GPMs for growth hormone (GH) therapy in growth hormone deficiency (GHD), Turner syndrome (TS), and small for gestational age (SGA) lack widespread adoption.
  • A need exists for an accessible and accurate prediction system.

Purpose of the Study:

  • To develop a stand-alone, web-based system for the 'individualised growth response optimisation' (iGRO) tool.
  • To ensure broad accessibility and compatibility within European endocrinology clinics.
  • To facilitate widespread clinical use of advanced growth prediction.

Main Methods:

  • Development of a modern, IT-compatible web platform.
  • Integration and testing of seventeen GPMs derived from the KIGS database.
  • Validation of prediction accuracy and system usability.

Main Results:

  • The iGRO system demonstrated significant prediction accuracy.
  • The platform confirmed IT compatibility across various systems and browsers.
  • Observed discrepancies between predicted and actual height were noted.

Conclusions:

  • The iGRO system offers accurate growth prediction and IT compatibility for clinical use.
  • Discrepancies can aid clinicians in investigating growth deviations and optimizing GH treatment.
  • This system has the potential for widespread adoption in endocrinology clinics for pediatric GH therapy management.
Abstract

Keywords:
growth hormoneprediction models

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