iGRO™ supports individualised GH treatment to children with idiopathic GH deficiency (IGHD) as soon as treatment starts.
It is a web-based tool designed to be used in clinical practice — to predict how much a child may grow in the first and subsequent years of GH therapy.
It can be used to calculate growth predictions for children with idiopathic GH deficiency (IGHD) and provides evidence-based guidance and justification for GH treatment decisions6.
iGRO™ prediction algorithms can explain 30-70%1-4 of variability in growth responses to GH treatment for children with IGHD.
iGRO™ requires standard data that is routinely collected during clinic visits:
- Birth date
- Primary diagnosis
- Birth weight
- Parents’ heights
- Treatment start date
- GH dose.
Growth prediction for a child with idiopathic growth hormone deficiency (IGHD) also requires:
- Gestational age 2
- Maximum GH peak - optional - 1-5
1 - Ranke MB., et al. Derivation and validation of a mathematical model for predicting the response to exogenous recombinant human growth hormone (GH) in prepubertal children with idiopathic GH deficiency. The Journal of Clinical Endocrinology and Metabolism (1999):1174–83.
2 - Ranke MB., et al. The mathematical model for total pubertal growth in idiopathic growth hormone (GH) deficiency suggests a moderate role of GH dose. The Journal of Clinical Endocrinology and Metabolism (2003):38.
3 - Ranke MB and Lindberg A. Prediction models for short children born short for gestational age and idiopathic short stature: KIGS analysis and review. BMC medical informatics and decision making (2011):423–32.
4 - Ranke MB., et al. Prediction of response to growth hormone treatment in short children born small for gestational age: Analysis of data from KIGS. Journal of Clinical Endocrinology and Metabolism (2003):125–31.
5 - Ranke MB., et al. Increased response but lower responsiveness to growth hormone (GH) in very young children (aged 0-3 years) with idiopathic GH deficiency: analysis of data from KIGS. Journal of Clinical Endocrinology and Metabolism (2005):1966–71.
6 - Loftus J, Lindberg A, Aydin F, et al. Journal of Pediatric Endocrinology and Metabolism (2017);30:1019–1026.