Details

Autor(en) / Beteiligte

• Bellini, Sarah Gunnell
• Johnson, Jessica
• McDonald, Catherine M
• Culhane, Suzanne
• Snell, Yungjing
• Eggett, Dennis

Titel

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

Ist Teil von

• Journal of cystic fibrosis, 2024-05, Vol.23 (3), p.532-537

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

2024

Quelle

Access via ScienceDirect (Elsevier)

Beschreibungen/Notizen

• •Nutrition screening tool for children (0 to 2 years) with cystic fibrosis.•Standardized equation for cystic fibrosis care team to identify nutrition risk.•Weight, length, weight-for-length z-scores predict nutrition risk best.•Simple, quick, easy tool to triage nutrition care of infants with cystic fibrosis. 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. 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. 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. 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.