STRONGkids validation: tool accuracy

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

doi:10.1016/j.jped.2018.12.012

Cited by 20 publications

(15 citation statements)

References 21 publications

(37 reference statements)

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“…13 A 2020 study noted sensitivity, specificity, PPV, and NPV values of 84.8%, 26.7%, 49.8%, and 67.2%, respectively. 8 The variation in outcomes may have been due to differences in interpretation of each STRONGkids parameter. The STRONGkids assessment is subjective, thus, different assessors may interpret it differently.…”

Section: Discussionmentioning

confidence: 99%

“…This tool can easily be incorporated in clinical practice for the identification of nutritional risk in children and adolescents. 8,9 Several studies have shown that this tool was associated with anthropometric measurements during pediatric inpatient admission. [10][11][12] Early risk detection needs to be carried out immediately to prevent hospital malnutrition, nutrition-related complications, growth disorders, risk of infections, and prolonged hospitalization.…”

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confidence: 99%

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The performance of STRONGkids in the early detection of hospital malnutrition

Tommy

Dimiati²,

Abdullah³

et al. 2022

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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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Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

The performance of STRONGkids in the early detection of hospital malnutrition

Tommy

Dimiati²,

Abdullah³

et al. 2022

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“…Maciel's research et al year 2018 regarding the validation of STRONGKids to get sensitivity results 84.8%, specificity 26.7%, positive predictive value 49.8%, and negative predictive value 67.2%, when patients at nutritional risk were identified by anthropometry (9) .…”

Section: Sensitivity and Specificity Analysis Of Strongkids As Hospital Screening Test For Malnutrition In Childrenmentioning

confidence: 99%

Accuracy of STRONGKids to Identify Risk of Children Malnutrition in Sanjiwani General Hospital Gianyar, Bali

Astika¹

2021

WMJ

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Malnutrition in the hospital is a condition that needs to be watched out for because it affects the length of stay and healing process of hospitalized patients. Until now, the prevalence of malnutrition in the hospital is still high in both adult and pediatric patients. Malnutrition screening is required while the patient will be hospitalized. It is necessary to research the accuracy of STRONGKids (Screening tools for risk on nutritional status and growth) as a malnutrition screening in pediatric patients in hospitals, especially at Sanjiwani General Hospital Gianyar percentage of malnutrition in hospitals at Sanjiwani Gianyar Hospital so that they receive early treatment. The purpose of this study was to determine the accuracy of STRONGKids as a screening test for malnutrition in the hospital for children at Sanjiwani General Hospital Gianyar. This research uses a design cross-sectional by the diagnostic test method. Data taken from medical records. Data collection method with consecutive sampling. The number of samples is 40 subjects. The inclusion criteria were children aged one month - 18 years and hospitalized at Sanjiwani Gianyar Hospital. The exclusion criteria were incomplete medical record data, and subjects were categorized as obese or obese on the medical record. The data analysis technique used the SPSS computer program. STRONGKids data are presented in 2 x 2 table form Chi-square. The results obtained were the percentage of hospital malnutrition of 9.8%. STRONGKids with a cutoff value of 1 had a sensitivity of 100% and a specificity of 35.1%. So, the STRONGKids score has fairly high sensitivity, so that the use of the STRONGKids score in combination with anthropometric measurements can be used to detect malnutrition in hospitals. Keywords: sensitivity, STRONGKids, child malnutrition

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“…One of these Tools, the Screening for Risk in Nutritional Status and Growth (STRONGkids), has been validated for the Brazilian population Texeira & Viana (2016). STRONGkids performs well in assessing nutritional status upon hospital admission Gouveia et al (2018), has good accuracy, high sensitivity in early detection of nutritional risk Maciel et al (2020), and appears to be directly associated with length of hospital stay Gouveia et al (2018).…”

Section: Introductionmentioning

confidence: 99%

Acute malnutrition is associated with the high nutritional risk obtained by STRONGkids in children and adolescents with infectious diseases

Silva

Sousa

Pinheiro

et al. 2021

RSD

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Objective: In this study, we aim to evaluate whether the presence of malnutrition in children and adolescents with infectious diseases is associated with high nutritional risk obtained by the STRONGkids instrument. Methods: A cross-sectional study comprising 237 hospitalized patients aged between 30 days and 18 years. Identification and diagnosis data, weight and height were collected. STRONGkids determined nutritional risk. Acute malnutrition was classified by BMI/age Z score < - 2 and chronic by Height/age Z score < - 2. Associations between categorical variables were verified using Pearson's chi-square test. A logistic regression analysis was performed to assess the association between anthropometric parameters of malnutrition and nutritional risk. It was considered significant p< 0,05. Results: In multiple analysis, it was observed that having malnutrition as of BMI/age increases the chance by 5.68 of having high nutritional risk by the STRONGKids instrument, regardless of age, sex and the presence of poverty-related infectious diseases (OR: 5.68; 95% CI: 1.54-20.93; p=0.009). Conclusion: In summary, for patients with infectious diseases, acute malnutrition (BMI/age) is associated directly with the diagnosis of high nutritional risk by STRONGkids.

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STRONGkids validation: tool accuracy

Cited by 20 publications

References 21 publications

The performance of STRONGkids in the early detection of hospital malnutrition

The performance of STRONGkids in the early detection of hospital malnutrition

Accuracy of STRONGKids to Identify Risk of Children Malnutrition in Sanjiwani General Hospital Gianyar, Bali

Acute malnutrition is associated with the high nutritional risk obtained by STRONGkids in children and adolescents with infectious diseases

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