1. Novel clinical algorithm for hypothalamic obesity in youth with brain tumours and factors associated with excess weight gain.
- Author
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Rydin AA, Severn C, Pyle L, Dorris K, Chambers C, Stiller D, Hankinson TC, Inge T, Haemer MA, Mirsky DM, Moore J, and Kelsey MM
- Subjects
- Adolescent, Algorithms, Body Mass Index, Child, Female, Humans, Male, Obesity complications, Obesity diagnosis, Obesity epidemiology, Overweight complications, Overweight epidemiology, Retrospective Studies, Risk Factors, Weight Gain, Brain Neoplasms complications, Hypothalamic Diseases complications, Hypothalamic Diseases drug therapy, Hypothalamic Neoplasms complications, Hypothalamic Neoplasms diagnosis, Hypothalamic Neoplasms epidemiology
- Abstract
Background: A standardized approach for identifying and treating hypothalamic obesity (HO) in children with hypothalamic tumours is lacking., Objectives: To describe children with hypothalamic tumours at risk for obesity, assess outcomes of a novel HO clinical algorithm, and identify factors associated with weight gain., Methods: Retrospective analysis of youth with hypothalamic and suprasellar tumours, seen at a paediatric tertiary care centre from 2010 to 2020., Results: The study cohort (n = 130, 50% female, median age at diagnosis 5 [range 0-17]y) had a median duration of follow up of 5 (0.03-17)y. At last recorded body mass index (BMI) measurement, 34% had obesity, including 17% with severe obesity. Median onset of overweight and obesity after diagnosis was 6.2 (0.3-134) and 8.9 (0.7-65) months, respectively. After algorithm implementation (n = 13), the proportion that had an early dietitian visit (within 6 months) increased from 36% to 54%, (p = 0.498) and weight management referrals increased from 51% to 83% (p = 0.286). Higher BMI z-score at diagnosis was associated with overweight and obesity development (p < 0.001)., Conclusion: Patients with hypothalamic tumours commonly develop obesity. Use of a clinical algorithm may expedite recognition of HO. Further research is needed to identify predictors of weight gain and to develop effective treatment., (© 2022 World Obesity Federation.)
- Published
- 2022
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