STRONGkids在医院营养不良早期发现中的表现

IF 0.2 Q4 PEDIATRICS Paediatrica Indonesiana Pub Date : 2022-06-28 DOI:10.14238/pi62.3.2022.192-7
Tommy Tommy, H. Dimiati, Mars Nashrah Abdullah, Sulaiman Yusuf, Teuku Muhammad Thaib, Rusdi Andid, E. D. Edward
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引用次数: 0

摘要

背景:医院儿童营养不良可增加发病率和死亡率,无论疾病类型如何。营养状况和生长风险筛查工具(STRONGkids)是一种实用且简便的营养风险筛查工具,已在多个国家得到广泛验证。目的探讨STRONGkids在儿科住院患者医院营养不良早期检测中的作用。方法本横断面研究在印度尼西亚班达亚齐Zainoel Abidin医生总医院儿科病房进行。儿科住院患者的STRONGkids评分在入院24小时内计算。我们使用卡方检验比较基于STRONGkids评分的高危儿童比例与基于连续体重测量的医院营养不良发生率。我们还确定了STRONGkids在检测医院营养不良方面的敏感性、特异性以及阳性和阴性预测值,以入院和出院期间体重下降的百分比为金标准。结果75例受试者中,男性占48%。医院营养不良患病率为29.3%。STRONGkids评分与医院营养不良显著相关(P=0.023)。STRONGkids检测医院营养不良的敏感性为77.3%,特异性为54.7%,阳性预测值为41.4%,阴性预测值为85.2%。结论STRONGkids工具具有良好的敏感性,可有效识别医院营养不良高危人群。此外,由于净现值高,"无风险"得分也有效地意味着该儿童可能不会出现住院营养不良。
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The performance of STRONGkids in the early detection of hospital malnutrition
Background Hospital malnutrition in children can increase morbidity and mortality, regardless of the type of illness. The Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) is a practical and easy nutritional risk screening tool that has been widely validated in several countries. Objective To examine the performance of STRONGkids for the early detection of hospital malnutrition in pediatric inpatients. Methods This cross-sectional study was conducted in the pediatric ward of Dr. Zainoel Abidin General Hospital, Banda Aceh, Indonesia. The pediatric inpatients' STRONGkids scores were calculated within 24 hours of admission. We used the chi-square test to compare the proportion of at-risk children based on STRONGkids scores with the prevalence of hospital malnutrition based on serial weight measurement. We also determined the sensitivity, specificity, as well as positive and negative predictive values of STRONGkids for detecting hospital malnutrition, with percentage of weight loss between admission and discharge as the gold standard. Result Out of 75 subjects, 48% were male. The hospital malnutrition prevalence was 29.3%. STRONGkids score was significantly associated with hospital malnutrition (P=0.023). The sensitivity, specificity, positive predictive value, and negative predictive value of STRONGkids for detecting hospital malnutrition was 77.3%, 54.7%, 41.4%, and 85.2%, respectively. Conclusion With its good sensitivity, the STRONGkids tool is effective in identifying those at risk of hospital malnutrition. In addition, with its high NPV, a “no-risk” score also effectively implies that the child is likely not to have hospital malnutrition.
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0.40
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58
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24 weeks
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