Developing a nutrition screening tool for children with cystic fibrosis ages 0 to 2 years: Children with cystic fibrosis nutrition screening tool.

Autor: Bellini SG; Nutrition, Dietetics, and Food Science Department, Brigham Young University, S219 ESC, Provo, UT 84602, United States. Electronic address: sarah_bellini@byu.edu., Johnson J; Nutrition, Dietetics, and Food Science Department, Brigham Young University, S219 ESC, Provo, UT 84602, United States; Intermountain Medical Center, 5121 S Cottonwood St, Murray, UT 84107, United States., McDonald CM; Primary Children's Hospital, 100 Mario Capecchi Dr, Salt Lake City, UT 84113, United States., Culhane S; Texas Children's Hospital, 6621 Fannin St, M/C2-3521, Houston, TX 77030, United States., Snell Y; Children's Mercy Hospital, 2401 Gillham Rd, Kansas City, MO 64108, United States., Eggett D; Department of Statistics, Brigham Young University, 2152 WVB, Provo, UT 84602, United States.
Jazyk: angličtina
Zdroj: Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society [J Cyst Fibros] 2024 May; Vol. 23 (3), pp. 532-537. Date of Electronic Publication: 2023 Nov 04.
DOI: 10.1016/j.jcf.2023.10.013
Abstrakt: Background: For children with cystic fibrosis (CF), achieving and maintaining optimal growth by the age of 2 years is critical for future health outcomes. A standardized nutrition screening is needed to identify growth problems, enable timely interventions, and improve nutritional outcomes for children (0 to 2 years) with CF. The purpose of this study was to develop a nutrition screening tool for children (0 to 2 years) with CF to identify nutrition risk at every clinical encounter.
Methods: A retrospective cross-sectional study was used to develop a nutrition screening tool to determine if nutrition interventions needed to change (at-risk) or continue (not at-risk). Retrospective data for pertinent nutrition factors were collected for 99 children attending an accredited CF clinic. The nutrition factors were compared to a dietitian assessment. A stepwise discriminant analysis determined weight-for-age (WFA) and weight-for-length (WFL) z-scores were significant. Then anthropometric data and corresponding dietitian assessment results were collected for children with CF attending two other accredited CF clinics (n = 29, n = 30). Discriminant analysis was used to determine sensitivity and specificity of the nutrition factors and to create a nutrition screening tool equation.
Results: The nutrition screening model that included WFA z-score, LFA z-score, WFL z-score, and weight change velocity adequacy determined nutrition risk the best. The sensitivity was 89.7 %, specificity 83.2 %, NPV 93.3 %, and PPV 75.4 % for this model.
Conclusion: The nutrition screening tool equation developed in this study standardizes the process to identify children (0 to 2 years) with CF at nutrition risk. Further validation is needed.
Competing Interests: Declaration of Competing Interest None of the authors have conflicts of interest to declare.
(Copyright © 2023 European Cystic Fibrosis Society. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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