27 PICTURE – Implementation of OMOP within a GOSH Clinical Informatics APP

Abstract

Introduction Artificial nutrition and hydration in patients with paediatric cancer is essential to maintain and optimise nutritional status during treatment (Trehan, 2020).The need for artificial feeding depending on a range of factors, including type and intensity of disease and treatment protocol (McGrath, 2020).However, data on artificial feeding rates in paediatric cancers remain limited.This study aimed to determine the incidence of artificial feeding interventions-enteral nutrition (EN) and parenteral nutrition (PN)-in children treated for common cancers.Methods A retrospective chart review was conducted at a single tertiary centre in the United Kingdom between April 2019 and June 2024.Data was extracted from the electronic patient record system data warehouse using the established digital research environment data extraction mechanisms.Statistics were carried out using the R programming language.Results The cohort included 1540 patients: 15% were aged under one year, 45% were female, and 99% had a single cancer diagnosis.Overall, 47% (n=714) received EN or PN at least once during treatment.Patients treated for Atypical-Teratoid Rhabdoid Tumour (ATRT; 18/20; 90%), Acute Myeloid Leukaemia (AML) (62/82; 76%), Medulloblastoma (37/57; 65%), Neuroblastoma (75/132; 57%) were significantly more likely to require EN compared to Non-Hodgkin's Lymphoma (27/42; 64%), Ewings Sarcoma (15/25; 60%), and Hepatoblastoma (14/28; 56%) (Chi 2 p=0.004).Patients treated for AML (47/82; 57%), ATRT (10/20; 50%) were more likely to require PN compared to Non-Hodgkin's Lymphoma (22/42; 52%), and Neuroblastoma (47/132; 36%) (Chi 2 p=0.01).The diagnoses with the lowest rates of artificial feeding overall (EN and PN) were retinoblastoma 10/104 (9%), Langerhans Cell Histiocytosis (LCH) 12/75 (13%) and Glioma/astrocytoma 69/281 (25%).Conclusion This study confirms that artificial feeding is common in paediatric cancer, with incidence varying significantly by diagnosis.Identifying high-risk groups can guide clinicians in early, collaborative nutritional planning with families and multidisciplinary teams, promoting proactive and tailored care.

Ähnliche Arbeiten