Novel clinical algorithm for hypothalamic obesity in youth with brain tumours and factors associated with excess weight gain
| Autor: | Amy A. Rydin, Cameron Severn, Laura Pyle, Kathleen Dorris, Christina Chambers, Debra Stiller, Todd C. Hankinson, Thomas Inge, Matthew A. Haemer, David M. Mirsky, Jaime Moore, Megan M. Kelsey |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Male
Nutrition and Dietetics Adolescent Brain Neoplasms Health Policy Public Health Environmental and Occupational Health Overweight Weight Gain Article Body Mass Index Risk Factors Pediatrics Perinatology and Child Health Humans Female Obesity Hypothalamic Neoplasms Child Algorithms Hypothalamic Diseases Retrospective Studies |
| Zdroj: | Pediatr Obes |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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