Feasibility study of micronutrient status and body mass index of newly diagnosed pediatric oncology patients: Research commentary.

Pediatr Blood Cancer

Division of Pediatric Hematology, Oncology and Bone Marrow Transplant, Department of Pediatrics, British Columbia Children's Hospital and The University of British Columbia, Vancouver, British Columbia, Canada.

Published: June 2024

We conducted a feasibility study to evaluate micronutrients and body mass index (BMI). Fat soluble vitamins A, D, E and trace elements copper (Cu), selenium (Se), and zinc (Zn) levels were evaluated. Weight, height, BMI, and Z-scores were recorded. Side effects or specific adverse events were documented. No patient had a Z-score for height, weight, or BMI of less than 2 SD or greater than 2 SD. Ninety percent of patients had one or more micronutrient levels below normal. These results suggest that micronutrient abnormalities are common despite no obvious evidence of malnutrition. Side effects of chemotherapy may be exacerbated by micronutrient depletion.

Download full-text PDF

Source
http://dx.doi.org/10.1002/pbc.30936DOI Listing

Publication Analysis

Top Keywords

feasibility study
8
body mass
8
side effects
8
micronutrient
4
study micronutrient
4
micronutrient status
4
status body
4
mass newly
4
newly diagnosed
4
diagnosed pediatric
4

Similar Publications

Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.

View Article and Find Full Text PDF

Background: Surgical treatment of comminuted and multiple facial fractures is challenging, as identifying the bone anatomy and restoring the alignment are complicated. To overcome the difficulties, 3D-printed "jigsaw puzzle" has been innovated to improve the surgical outcome. This study aimed to demonstrate the feasibility of 3D-printed model in facial fracture restoration procedures.

View Article and Find Full Text PDF

This study aims to provide an LLM (Large Language Model)-based method for the discourse analysis of media attitudes, and thereby investigate media attitudes towards China in a Hong Kong-based newspaper. Analysis of attitudes in large amounts of media data is crucial for understanding public opinions, market trends, social dynamics, etc. However, corpus-based approaches have traditionally focused on explicit linguistic expressions of attitudes, leaving implicit expressions unconsidered.

View Article and Find Full Text PDF

Breastfeeding (BF) is vital for maternal and infant health, yet post-hospital discharge support remains a challenge. The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) provides BF peer counseling prenatally and up to 1-year postpartum among low-income women in the United States. The Lactation Advice Through Texting Can Help (LATCH) intervention is an evidence-based two-way text messaging intervention that provides BF education and support in the WIC peer counseling program.

View Article and Find Full Text PDF

Background: Treadmill belt perturbations have high clinical feasibility for use in perturbation-based training in older people, but their kinematic validity is unclear. This study examined the kinematic validity of treadmill belt accelerations as a surrogate for overground walkway trips during gait in older people.

Methods: Thirty-eight community-dwelling older people were exposed to two unilateral belt accelerations (8 m s-2) whilst walking on a split-belt treadmill and two trips induced by a 14 cm trip-board whilst walking on a walkway with condition presentation randomised.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!