Validation and Adaptation of the Spanish Version of the STRONGkids Nutrition Screening Tool

Ortiz-Gutiérrez, Salvador; Pérez-Cruz, Elizabeth; Lara-Pompa, N.E.; Serralde‐Zúñiga, Aurora E.; Fewtrell, Mary; Peralta‐Pedrero, María Luisa; Medina‐Vera, Isabel; Christlieb-Zaldívar, Claudia María; Damasco-Avila, E.; Guevara‐Cruz, Martha

doi:10.1002/ncp.10182

Cited by 18 publications

(13 citation statements)

References 26 publications

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“…Twenty‐eight studies evaluated the concurrent validity of one or more NS pediatric tools 8,9,30,32,34–36,39–41,45,48,51,52,55–59,61,63,64,66–71 . The following reference standards were used in these studies: anthropometric indexes, 7,35,36,39–41,48,51,52,55,56,59,61,63,68,70,71 complete nutrition status evaluation, 8,28,32,64,67 the SGNAped, 35,36,45,56,69 the consensus in malnutrition diagnosis from the Academy of Nutrition and Dietetics (AND)/American Society for Parenteral and Enteral Nutrition (ASPEN), 30,36 and dual‐energy x‐ray absorptiometry 68 . The diagnostic accuracy data are presented in Table 4.…”

Section: Resultsmentioning

confidence: 99%

Nutrition risk prevalence and screening tools' validity in pediatric patients: A systematic review

Pereira

Silva

Luz

et al. 2022

J Parenter Enteral Nutr

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Nutrition screening (NS) allows health professionals to identify patients at nutritional risk (NR), enabling early nutrition intervention. This study aimed to systematically review the criterion validity of NS tools for hospitalized non–critical care pediatric patients and to estimate the prevalence of NR in this population. This research was performed using PubMed, Embase, and Scopus databases until June 2021. The reviewers extracted the studies' general information, the population characteristics, the NR prevalence, and the NS tools' concurrent and predictive validity data. Quality evaluation was performed using the Newcastle‐Ottawa Scale, adapted Newcastle‐Ottawa Scale, and Quality Assessment of Diagnostic Accuracy Studies (QUADAS‐2). The primary studies were qualitatively analyzed, and descriptive statistics were calculated to describe the NR prevalence. Of the total 3944 studies found, 49 met the inclusion criteria. Ten different pediatric NS tools were identified; the most frequently used were Screening Tool for Risk on Nutritional Status and Growth (STRONGkids), Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), and Pediatric Yorkhill Malnutrition Score (PYMS). The mean NR prevalence was 59.85% (range, 14.6%–96.9%). Among all NS tools analyzed, STRONGkids and PYMS showed the best diagnostic performance. STRONGkids had the most studies of predictive validity showing that the NR predicted a higher hospital length of stay (odds ratio [OR], 1.96–8.02), health complications during hospitalization (OR, 3.4), and the necessity for nutrition intervention (OR, 18.93). Considering the diagnostic accuracy, robust and replicated findings of predictive validity, and studies' quality, STRONGkids performed best in identifying NR in the pediatric population among the tools identified.

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Section: Resultsmentioning

confidence: 99%

Nutrition risk prevalence and screening tools' validity in pediatric patients: A systematic review

Pereira

Silva

Luz

et al. 2022

J Parenter Enteral Nutr

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“…13 Several hospitals also used STRONGkids that has been modified based on the hospital specification. 15 Alarm Malnutrition needs some modification and improvement in the cut off value of MaR so it can be used as a screening tool accordance with the characteristics of the child. Besides being proven as good, STRONGkids is also easy to use, therefore it can help the nurses in detecting the risks for HaM in children.…”

Section: Discussionmentioning

confidence: 99%

Sensitivity and specificity test of alarm malnutrition for hospital-acquired malnutrition among pediatric patients

2021

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Detecting the risks for hospital-acquired malnutrition in children can be performed by using nutritional screening tools. One of the screening tools that has been created is Alarm Malnutrition. This study aimed to test the sensitivity and specificity of Alarm Malnutrition in detecting the risks for hospitalacquired malnutrition in comparison to Screening Tool for the Risk on Nutritional status and Growth (STRONGkids). This study employed cross sectional design and involved 168 hospitalized children (1 month to 18 years) at pediatric ward. The data were analyzed using diagnostic approach which resulted in sensitivity and specificity values. The statistical tests showed that the sensitivity and specificity values of Alarm Malnutrition and STRONGKids were 32,2% and 81,6% respectively. These results indicated that this screening tool was not better than STRONGkids which has been previously used in Indonesia. Alarm Malnutrition needs to be developed and improved in order to achieve better performance in detecting the risks for hospital-acquired malnutrition.

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“…65 In this context, STRONGkids stands out for being a simple, quick, and low-cost method. Because it does not require anthropometric measures or equipment expenses, and because of it its speed of application (on average, 3 minutes), 66 resources can be concentrated on higherpriority actions. The reliability of STRONGkids has been demonstrated even when applied by different professionals 63,67 and by nonspecialized staff, 38 which also contributes to its feasibility in clinical practice.…”

Section: Discussionmentioning

confidence: 99%

“…It was a single-center study, so the results may not be extrapolated to other populations. In addition, the variation of dietitians applying STRONGkids should be mentioned, although previous studies 38,63,[66][67][68] have confirmed the method's interrater reproducibility.…”

Section: Discussionmentioning

confidence: 99%

Nutrition Risk Assessed by STRONGkids Predicts Longer Hospital Stay in a Pediatric Cohort: A Survival Analysis

et al. 2020

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Background We evaluated the impact of Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) classification in time to discharge and verify whether the nutrition risk assessed by this method is an independent predictor of hospital length of stay (LOS) in pediatric inpatients. Methods A cohort study was conducted in a Brazilian hospital from February 2014 to July 2018. The outcome in the survivor analysis was hospital discharge. Kaplan‐Meier curves were used to estimate the cumulative survival time according to STRONGkids categories. Multivariable Cox proportional hazard models were fitted, and the adjusted hazard ratio (aHR), with respective 95% CI, was used to measure the strength of association. The discriminatory ability of STRONGkids was verified by a receiver operating characteristic curve Results A total 641 patients were included in the study: 54.9% males, median age of 2.8 years. The frequencies of low, moderate, and high nutrition risk were 15.6%, 63.7%, and 20.7%, respectively. The mean LOS was 5.9 days. Survival curves differed significantly according to nutrition‐risk categories. Patients classified as high risk had a 52% less chance of hospital discharge when compared with low‐risk patients (aHR: 0.48; 95% CI, 0.35–0.65). STRONGkids score ≥ 3 showed the best discriminatory power to identify LOS. From this score, there was a significant increase in the days of hospitalization. Conclusion The nutrition risk assessed by STRONGkids independently predicts LOS in pediatric patients. For this outcome, patients with 3 points (moderate risk) should be treated with the same priority as those with high risk.

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Validation and Adaptation of the Spanish Version of the STRONGkids Nutrition Screening Tool

Abstract: The SV of the MST showed good reliability and feasibility. The validity is moderate, and the MST could be considered a useful resource for early detection of malnutrition risk.

Cited by 18 publications

References 26 publications

Nutrition risk prevalence and screening tools' validity in pediatric patients: A systematic review

Nutrition risk prevalence and screening tools' validity in pediatric patients: A systematic review

Sensitivity and specificity test of alarm malnutrition for hospital-acquired malnutrition among pediatric patients

Nutrition Risk Assessed by STRONGkids Predicts Longer Hospital Stay in a Pediatric Cohort: A Survival Analysis

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