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STRONGkids: Predictive Validation in Brazilian Children
Mara Alves da Cruz Gouveia1, Rafael Miranda Tassitano2, Gisélia Alves Pontes da Silva1
1Mother and Child Department, Universidade Federal de Pernambuco, Recife, Brazil.
Insights
The STRONGkids tool has limited accuracy in predicting weight loss in hospitalized children, showing low sensitivity. Clinical data should supplement this preliminary evaluation tool for better patient assessment.
Area of Science:
- Pediatric Nutrition
- Clinical Assessment Tools
Background:
- Nutritional status is critical for pediatric patient outcomes.
- Accurate prediction of weight loss and hospital stay duration is essential for effective pediatric care.
Purpose of the Study:
- To evaluate the STRONGkids tool's efficacy in predicting weight loss and hospital stay in children.
- To determine the association between anthropometric nutritional status at admission and weight loss/hospital stay.
Main Methods:
- A methodological study involving 245 children aged 1-10 years admitted to a tertiary hospital.
- Daily weighing of participants until discharge to track weight changes.
- Validation of the STRONGkids tool using sensitivity, specificity, and predictive values, alongside anthropometric assessments.
Main Results:
- Over half of the children (52.7%) experienced weight loss during hospitalization.
- The STRONGkids tool demonstrated 55.8% sensitivity and 38.8% specificity for identifying weight loss.
- Anthropometric assessment showed 26.5% sensitivity and 75.9% specificity for weight loss prediction.
Conclusions:
- The STRONGkids tool, primarily based on clinical evaluation, exhibits low sensitivity and a high false-positive rate for predicting weight loss.
- It is recommended as a preliminary tool, necessitating supplementation with clinical data for comprehensive patient evaluation.
Objectives:
The aim of the study is to assess STRONGkids as a tool for predicting weight loss and length of hospital stay in children and to determine whether the anthropometric diagnosis of nutritional status at the time of admission was associated with weight loss and length of hospital stay.
Methods:
A methodological study recruiting 245 children age between 1 and 10 years of age admitted to a tertiary hospital. The participants were weighed daily until discharge. Validation of the STRONGkids tool for the identification of patients sustaining weight loss at the end of hospitalization involved the calculation of sensitivity, specificity, and positive and negative predictive values, and anthropometric assessment.
Results:
A total of 129 (52.7%) children lost weight at the end of hospitalization. Of these, 73 (56.6%) lost over 2% of their weight on admission. The tool had a sensitivity of 55.8%, a specificity of 38.8% and a positive predictive value of 50.3% in identifying children who lost weight. The anthropometric assessment had a sensitivity of 26.5%, a specificity of 75.9%, and a positive predictive value of 49.1%.
Conclusions:
The model used to develop the STRONGkids tool incorporated clinical evaluation to a greater extent than the assessment of nutritional status. The tool, however, had a low sensitivity and a high percentage of false positives. Therefore, it should be considered as a preliminary evaluation tool and its use should be complemented with clinical data.
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