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Screening for Pediatric Malnutrition at Hospital Admission: Which Screening Tool Is Best?
Laura E Carter1,2, Grace Shoyele3, Sarah Southon4
1Department of Agricultural, Life, and Environmental Sciences, University of Alberta, Edmonton, Alberta, Canada.
Insights
Identifying pediatric malnutrition risk is crucial. Adjusted cutoffs for the Pediatric Nutrition Screening Tool (PNST) improved its accuracy for hospitalized children, making it the most suitable option.
Area of Science:
- Pediatric Nutrition
- Clinical Assessment
- Healthcare Quality Improvement
Background:
- Hospitalized children require nutrition risk identification.
- Pediatric nutrition screening is not commonly practiced.
- Effective screening tools are needed for early malnutrition detection.
Purpose of the Study:
- To evaluate pediatric nutrition screening tools for hospitalized children.
- To determine the most effective tool for identifying malnutrition risk on admission.
- To compare the performance of STRONGkids and PNST against a gold standard.
Main Methods:
- Administered STRONGkids and PNST to 165 pediatric patients.
- Used Subjective Global Nutritional Assessment (SGNA) as the reference standard.
- Calculated sensitivity, specificity, and kappa (κ) for each tool.
- Utilized ROC curve analysis to assess adjusted cutoffs and prospective validity (length of hospital stay).
Main Results:
- Initial cutoffs showed STRONGkids (89% sensitivity, 35% specificity) and PNST (58% sensitivity, 88% specificity).
- Adjusted cutoffs improved PNST (87% sensitivity, 71% specificity) and STRONGkids (80% sensitivity, 61% specificity).
- Children identified at nutrition risk experienced significantly longer hospital stays.
Conclusions:
- Neither STRONGkids nor PNST were optimal with published cutoffs.
- Adjusting cutoffs enhanced the agreement of both tools with SGNA.
- PNST with adjusted cutoffs demonstrated the most appropriate performance for clinical use in this pediatric population.
Background:
Identifying children at malnutrition risk on admission to hospital is considered best practice; however, nutrition screening in pediatric populations is not common. The aim of this study was to determine which screening tool is able to identify children with malnutrition on admission to hospital.
Methods:
A nurse administered 2 pediatric nutrition screening tools, Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) and Pediatric Nutrition Screening Tool (PNST) to patients admitted to medicine and surgery units (n = 165). The Subjective Global Nutritional Assessment (SGNA) was then completed by a dietitian, blinded to the results of the screens. Sensitivity, specificity, and κ were calculated for both screening tools against the SGNA. A receiver operating characteristic (ROC) curve assessed alternate cutoffs for each tool. Length of hospital stay (LOS) was used to assess prospective validity.
Results:
Using the recommended cutoffs, the sensitivity of STRONGkids was 89%, specificity 35%, and κ 0.483. The sensitivity of PNST was 58%, specificity 88%, and κ 0.601. Using adjusted cutoffs, PNST's sensitivity improved to 87%, specificity 71%, and κ 0.681, and STRONGkids specificity improved to 61%, sensitivity 80%, and κ 0.5. Children identified at nutrition risk had significantly longer LOS (P < 0.05).
Conclusion:
This study showed neither tool was appropriate for clinical use based on published cutoffs. By adjusting the cutoffs using ROC curve analysis, both tools improved overall agreement with the SGNA without significantly impacting the prospective validity. PNST with adjusted cutoffs is the most appropriate for clinical use in this population.
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