STRONGkids validation: tool accuracy

Juliana Rolim Vieira Maciel , Eduardo Yoshio Nakano , Kênia Mara Baiocchi de Carvalho , Eliane Said Dutra
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Abstract

Objective

Validate the accuracy of the Screening Tool for Risk on Nutritional status and Growth (STRONGkids) and estimate the prevalence of malnutrition and nutritional risk in hospitalized children.

Methods

Cross‐sectional study of a representative sample of children admitted to ten public pediatric emergency rooms. The sample was randomly estimated in stages, including children older than 30 days and younger than 10 years of age, of both sexes, excluding syndromic children and those in whom it was impossible to directly measure anthropometry. Weight, height, and arm circumference were measured, as well as the Z‐scores of the anthropometric indices weight‐for‐age, height‐for‐age, weight‐for‐height, body mass index for age, and arm circumference for age, classified according to the reference curves of the World Health Organization. After the tool was applied, its accuracy tests were performed in comparison with the anthropometric data, with the evaluation of sensitivity, specificity, and positive and negative predictive values.

Results

A total of 271 children were evaluated, 56.46% males and 41.70% younger than 2 years of age. The prevalence rates of malnutrition, nutritional risk assessed by anthropometric measurements, and nutritional risk assessed by the tool were 12.18%, 33.95%, and 78.60%, respectively. Accuracy showed sensitivity of 84.8%, specificity of 26.7%, positive predictive value of 49.8%, and negative predictive value of 67.2%, when the patients at nutritional risk were identified by anthropometry.

Conclusion

Validation of the accuracy of STRONGkids was performed, showing high sensitivity, allowing the early identification of nutritional risk in similar populations.

STRONGkids验证:工具准确性
目的验证营养状况和生长风险筛查工具(STRONGkids)的准确性,评估住院儿童营养不良发生率和营养风险。方法对10个公立儿科急诊室收治的儿童的代表性样本进行横断面研究。样本是分阶段随机估计的,包括年龄超过30天、年龄小于10岁的男女儿童,不包括患有综合征的儿童和那些无法直接测量人体测量的儿童。测量体重、身高和臂围,以及年龄体重指数、年龄身高指数、身高体重指数、年龄体重指数和年龄臂围的Z得分,根据世界卫生组织的参考曲线进行分类。应用该工具后,将其准确性测试与人体测量数据进行比较,评估其敏感性、特异性、阳性预测值和阴性预测值。结果共评估271例儿童,其中男性占56.46%,2岁以下儿童占41.70%。营养不良患病率、人体测量评估的营养风险和工具评估的营养风险分别为12.18%、33.95%和78.60%。当采用人体测量法识别存在营养风险的患者时,准确率为敏感性84.8%,特异性26.7%,阳性预测值49.8%,阴性预测值67.2%。结论对STRONGkids的准确性进行了验证,显示出较高的灵敏度,可以在类似人群中早期识别营养风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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