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

Age-stratified validation and interrater reliability of the screening tool for nutritional risk for childhood cancer in hospitalized children

OBJECTIVE

To evaluate the reliability, construct, and criterion validity of the screening tool for childhood cancer (SCAN), stratified by age in oncology patients admitted to a tertiary referral hospital.

METHODS

Hospitalized children from birth to 18 years old, with an oncological diagnosis and expected length of stay (LOS) of >24 hours were included. Interrater and intrarrater agreements were used to evaluate the reliability of SCAN. Construct validity and criterion validity were explored in SCAN. Also, predictive validity was explored by comparing SCAN risk categories against LOS.

RESULTS

Three hundred ninety-four children were included in the study. The scores obtained after dietitians and physicians used SCAN showed good agreement (ICC = 0.80, 95%CI 0.71-0.86, P < 0.001). The intrarrater agreement within the evaluation of the same dietitian to the same group of patients was also good (ICC = 0.83, 95%CI 0.75-0.88, P < 0.001). After applying SCAN, 66.2% of participants scored >3 points, classified as at risk of malnutrition. The agreement observed when comparing the risk classification given by the tool with the malnutrition assessment using anthropometry variables as the criterion reference was fair (κ = 0.22, 95%CI 0.15-0.29, P < 0.001). Predictive validity indicated a slight agreement (κ = 0.16, 95%CI 0.08-0.25, P < 0.001) between malnutrition risk by SCAN and LOS. When assessing construct validity, comparing the scores given by SCAN with those provided by STRONGkids, a fair agreement was found (κ = 0.21, 95%CI 0.15-0.26, P < 0.001).

CONCLUSIONS

Our results show that SCAN is a reliable and valid tool for detecting malnutrition in oncology pediatric patients upon hospital admission.

Italian cross-cultural validation of the STRONGkids tool for pediatric nutritional evaluation

Nutritional assessment plays a pivotal role in individual development and represents a fundamental component in the early identification of nutritional challenges and imbalances in pediatric patients. Among the validated instruments in the literature, the STRONGkids tool is the most utilized. This study aimed to undertake the translation and transcultural validation of the STRONGkids tool. The STRONGkids tool underwent initial validation following the six-phase protocol outlined by Sousa and Rojjanasrirat, after which it was translated into Italian. The final Italian version of STRONGkids was then administered to a cohort of hospitalized children. Collected data underwent analysis to assess its psychometric properties. Through the initial five phases, an Italian version of the STRONGkids tool was developed, which is congruent with the original and widely utilized version. The sixth phase exhibited favorable intra-rater reliability (k = 0.92; 95% CI 0.87-0.97) and inter-rater reliability (k = 0.77; 95% CI 0.68-0.86). Conclusion: The validated Italian version of STRONGkids emerges as a crucial instrument for precise nutritional assessment during hospitalization, ensuring convenience and effectiveness for professionals. Our findings advocate for the adoption of STRONGkids as a tool for screening pediatric nutritional risk in Italy. STRONGkids represents a complementary tool alongside anthropometric evaluations for nurses. Recognizing its importance, nurses can enhance early identification and intervention in pediatric patients' nutritional risk as part of routine care, fostering interdisciplinary collaboration for optimal patient outcomes.

Association between phase angle and the nutritional status in pediatric populations: a systematic review

Background and aims

Malnutrition is prevalent in pediatric populations with any disease, and it is also related to changes in body composition. In addition, recent studies have documented relationships between these changes and phase angle (PhA), an important parameter of functional nutritional assessment. PhA could be a new marker of nutritional status. Many studies have generated information about the association between PhA and malnutrition in various pathologies, although the vast majority of this information is from adult populations. In this systematic review, we answered the following question: What is the association between PhA and the nutritional status in pediatric populations?

Methods

We performed a systematic search of the Medline/PubMed and Latin American and Caribbean Health Sciences Literature databases (LILACS) databases for studies published up to October 2022. The inclusion criteria were pediatric subjects, which reported the relationship between PhA and the nutritional status with any objective nutritional indicator, and PhA was measured by electric impedance and reported at 50 kHz. We synthesized data from the studies that reported cutoff analysis of PhA with receiver operating characteristic (ROC) curves, mean PhA values presented by nutritional status strata, and correlations between PhA and nutritional status indicators. We assessed the risk of bias by using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies and the Quality Assessment for Diagnostic Accuracy Studies.

Results

Of the 126 studies we identified, 15 met the inclusion criteria. The included studies reported the association between PhA and objective indicators of nutritional status, including weight-for-age z-score (WAZ) <-1 standard deviation (SD) for malnutrition, height-for-age z-score (HAZ) for malnutrition-stunting, body mass index (BMI) for the starvation state, body mass index z-score (BMIz) and BMI for malnutrition, mid-upper arm circumference (MUAC) <11 cm for severe acute malnutrition (SAM), and fat-free mass index z-score (FFMIz) <-2 z-score for moderate malnutrition, among others. The report of these associations between PhA and nutritional status was based on cutoff points generated with ROC curve analysis or comparison of mean PhA values, which were reported stratified by the presence or absence of malnutrition, and correlations between PhA and anthropometric indicators for the evaluation of the nutritional status in the pediatric population. It was difficult to compare the studies due to the heterogeneity of the bioelectrical impedance analysis models used, how PhA was reported (standardized, percentiles, or degrees), and the anthropometric indicators used to diagnose malnutrition.

Conclusion

The early identification of malnutrition is relevant to establish the correct nutritional treatment; PhA appears to be a sensitive indicator of nutritional status and is easy to obtain. Although the results of this review are inadequate to establish PhA cutoff points associated with malnutrition in pediatric populations, in most of the studies, there was an association between PhA and objective indicators of nutritional status.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022362413, identifier: PROSPERO 2022 CRD42022362413.

The Low Sensitivity and Specificity of a Nutrition Screening Tool in Real Circumstances in a Tertiary Care Hospital Setting

Nutrition screening is an essential process to detect children at risk of malnutrition during hospitalization and provide appropriate nutrition management. STRONGkids is a nutrition screening tool which has been implemented in a tertiary-care hospital service in Bangkok, Thailand. This study aimed to evaluate the performance of STRONGkids in the real-situation setting. Electronic Medical Records (EMR) of hospitalized pediatric patients aged 1 month to 18 years from January to December 2019 were reviewed. Those with incomplete medical records and re-admission within 30 days were excluded. Nutrition risk scores and clinical data were collected. Anthropometric data were calculated to Z-score based on the WHO growth standard. The sensitivity (SEN) and specificity (SPE) of STRONGkids were determined against malnutrition status and clinical outcomes. In total, 3914 EMRs (2130 boys, mean age 6.22 ± 4.72 years) were reviewed. The prevalence of acute malnutrition (BMI-for-age Z-score < -2) and stunting (height-for-age Z-score < -2) were 12.9 and 20.5%. SEN and SPE of STRONGkids against acute malnutrition were 63.2 and 55.6%, stunting values were 60.6 and 56.7%, and overall malnutrition values were 59.8 and 58.6%. STRONGkids had low SEN and SPE to detect nutrition risks among hospitalized children in a tertiary-care setting. Further actions are required to improve the quality of nutrition screening in hospital services.

[Validation of the instrument "Infant Malnutrition and Feeding Checklist for Congenital Heart Disease", a tool to identify risk of malnutrition and feeding difficulties in infants with congenital heart disease]

INTRODUCTION

currently, various tools have been designed to timely detect the risk of malnutrition in hospitalized children. In those with a diagnosis of congenital heart disease (CHD), there is only one tool developed in Canada: Infant Malnutrition and Feeding Checklist for Congenital Heart Disease (IMFC:CHD), which was designed in English.

OBJECTIVE

to evaluate the validity and reliability of the Spanish adaptation of the IMFC:CHD tool in infants with CHD.

METHODS

cross-sectional validation study carried out in two stages. The first, of translation and cross-cultural adaptation of the tool, and the second, of validation of the new translated tool, where evidence of reliability and validity were obtained.

RESULTS

in the first stage, the tool was translated and adapted to the Spanish language; for the second stage, 24 infants diagnosed with CHD were included. The concurrent criterion validity between the screening tool and the anthropometric evaluation was evaluated, obtaining a substantial agreement (κ = 0.660, 95 % CI: 0.36-0.95) and for the predictive criterion validity, which was compared with the days of hospital stay, moderate agreement was obtained (κ = 0.489, 95 % CI: 0.1-0.8). The reliability of the tool was evaluated through external consistency, measuring the inter-observer agreement, obtaining a substantial agreement (κ = 0.789, 95 % CI: 0.5-0.9), and the reproducibility of the tool showed an almost perfect agreement (κ = 1, CI 95 %: 0.9-1.0).

CONCLUSIONS

the IMFC:CHD tool showed adequate validity and reliability, and could be considered as a useful resource for the identification of severe malnutrition.

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

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.

Cross-cultural adaptation to Spanish and content validity of three nutritional risk scales

INTRODUCTION

There are various scales designed to determine the risk of malnutrition at hospital admission in children. However, most of these instruments are developed and published in English. Their cross-cultural adaptation and validation being mandatory in order to be used in our country.

OBJECTIVES

Cross-culturally adapt three scales designed to determine the risk of malnutrition linked to the disease and determine the validity of their content.

MATERIAL AND METHODS

Cross-cultural adaptation using the translation-back-translation method in accordance with the recommendations of the International Test Commission Guidelines for Translating and Adapting Tests. Content validity was measured by a panel of experts (under seven basic selection criteria adapted from the Fehring model) who evaluated each item of the scales by measuring 4 criteria: ambiguity, simplicity, clarity and relevance. With the extracted score, Aiken's V statistic was obtained for each item and for the complete scales.

RESULTS

Starting from three independent translations per scale, 3 definitive versions in Spanish of the PNRS, STRONGkids and STAMP scales were obtained semantically equivalent to their original versions. The PNRS and STRONGkids scales presented an Aiken's V greater than 0.75 in all their items, while the STAMP scale presented a value less than 0.75 for the item "weight and height".

CONCLUSION

This study provides the transculturally adapted Spanish versions of the PNRS, STRONGkids and STAMP scales. The PNRS and STRONGkids scales present valid content to be applied in the state hospital context. STAMP requires the adaptation of its item "weight and height" to consider its use in a Spanish child population adequate.

Pedi-R-MAPP: The development of a nutritional awareness tool for use in remote paediatric consultations using a modified Delphi consensus

BACKGROUND & AIMS

The Remote Malnutrition Application (R-MAPP) was developed during the COVID-19 pandemic to provide support for health care professionals (HCPs) working in the community to complete remote nutritional assessments, and provide practical guidance for nutritional care. The aim of this study was to modify the R-MAPP into a version suitable for children, Pediatric Remote Malnutrition Application (Pedi-R-MAPP), and provide a structured approach to completing a nutrition focused assessment as part of a technology enabled care service (TECS) consultation.

METHODS

A ten-step process was completed: 1) permission to modify adult R-MAPP, 2) literature search to inform the Pedi-R-MAPP content, 3) Pedi-R-MAPP draft, 4) international survey of HCP practice using TECS, 5) nutrition experts invited to participate in a modified Delphi process, 6) first stakeholder meeting to agree purpose/draft of the tool, 7) round-one online survey, 8) statements with consensus removed from survey, 9) round-two online survey for statements with no consensus and 10) second stakeholder meeting with finalisation of the Pedi-R-MAPP nutrition awareness tool.

RESULTS

The international survey completed by 463 HCPs, 55% paediatricians, 38% dietitians, 7% nurses/others. When HCPs were asked to look back over the last 12 months, dietitians (n = 110) reported that 5.7 ± 10.6 out of every 10 appointments were completed in person; compared to paediatricians (n = 182) who reported 7.5 ± 7.0 out of every 10 appointments to be in person (p < 0.0001), with the remainder completed as TECS consultations. Overall, 74 articles were identified and used to develop the Pedi-R-MAPP which included colour-coded advice using a traffic light system; green, amber, red and purple. Eighteen participants agreed to participate in the Delphi consensus and completed both rounds of the modified Delphi survey. Agreement was reached at the first meeting on the purpose and draft sections of the proposed tool. In round-one of the online survey, 86% (n = 89/104) of statements reached consensus, whereas in round-two 12.5% (n = 13/104) of statements reached no consensus. At the second expert meeting, contested statements were discussed until agreement was reached and the Pedi-R-MAPP could be finalised.

CONCLUSION

The Pedi-R-MAPP nutrition awareness tool was developed using a modified Delphi consensus. This tool aims to support the technological transformation fast-tracked by the COVID-19 pandemic by providing a structured approach to completing a remote nutrition focused assessment, as well as identifying the frequency of follow up along with those children who may require in-person assessment.

Nutritional screening tool for critically ill children: a systematic review

CONTEXT

Nutritional screening tools (NSTs) are used to identify patients who are at risk of nutritional status (NS) deterioration and associated clinical outcomes. Several NSTs have been developed for hospitalized children; however, none of these were specifically developed for Pediatric Intensive Care Unit (PICU) patients.

OBJECTIVE

A systematic review of studies describing the development, application, and validation of NSTs in hospitalized children was conducted to critically appraise their role in PICU patients.

DATA SOURCES

PubMed, Embase, Web of Science, Scopus, SciELO, LILACS, and Google Scholar were searched from inception to December 11, 2020.

DATA EXTRACTION

The review included 103 studies that applied NSTs at hospital admission. The NST characteristics collected included the aims, clinical setting, variables, and outcomes. The suitability of the NSTs in PICU patients was assessed based on a list of variables deemed relevant for this population.

DATA ANALYSIS

From 19 NSTs identified, 13 aimed to predict NS deterioration. Five NSTs were applied in PICU patients, but none was validated for this population. NSTs did not include clinical, NS, laboratory, or dietary variables that were deemed relevant for the PICU population.

CONCLUSION

None of the available NSTs were found to be suitable for critically ill children, so a new NST should be developed for this population. AQ6.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration no. CRD42020167898.

Cross-cultural adaptation, content validity, and feasibility of the school physical activity and nutrition environment tool

OBJECTIVE

To perform a cross-cultural adaptation, content validity and feasibility of The School Physical Activity and Nutrition Environment Tool (SPAN-ET) for the Spanish context. It is a valuable tool for making comprehensive assessments of school environments in three environmental categories: policy, situation/social, and physical.

METHOD

We followed the cross-cultural adaptation guidelines which consist of a five-stage methodological approach: 1) forward translation, 2) synthesis, 3) back translation, 4) adaptation to the Spanish context, and 5) pilot testing. In addition, an expert panel performed a content validity analysis to assess the level of comprehensibility, applicability, and cultural appropriateness of the SPAN-ET for its use in Spain. The pilot test was carried out in five schools to assess the feasibility of the tool in the Spanish context.

RESULTS

After applying the guidelines for the translation and cultural adaptation of the SPAN-ET into the Spanish context, the new tool (SPAN-ET-ES) preserves the main dimensions of the original document to evaluate school environments in Spain. The evaluation of the SPAN-ET-ES, done by an expert panel, concluded that items included in the revised version of the SPAN-ET-ES were relevant (S-CVI/Ave=0.96), clear (S-CVI/Ave=0.96), simple (S-CVI/Ave=0.98), and non-ambiguous (S-CVI/Ave=0.98) for the Spanish context. Finally, the pilot test offered empirical evidence for the feasibility and content validity of the SPAN-ET-ES at assessing school environments in Spain.

CONCLUSIONS

SPAN-ET-ES is a feasible tool for assessing nutrition and physical activity environments at schools in Spain.

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

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.

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

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.

Validity and reliability of the Turkish version of three screening tools (PYMS, STAMP, and STRONG-kids) in hospitalized children

BACKGROUND

There are different malnutrition screening tools developed in the English language, but limited data available on the validity of their versions translated into other languages. The aim of this study is to construct a Turkish version of PYMS, STRONG-kids, and STAMP and to determine their validity and reliability in a pediatric population.

METHODS

The present study was conducted at two stages. First, the process of translating PYMS, STRONG-kids, and STAMP into the Turkish language was performed. In the second stage, the validity and reliability were evaluated in the new version of the tools. The anthropometric assessment was used as the reference standard in evaluating the validity of criteria. The reliability was observed through inter-rater and intra-rater agreement.

RESULTS

202 children in total were involved in the present study, 42 of whom took part in the reliability phase. The inter-rater agreement between one dietitian and one nurse was kappa (κ) = 0.955 (95% CI 0.904-1.000) for PYMS, 0.901 (95% CI 0.828-0.974) for STRONG-kids, and 0.963 (95% CI 0.912-1.000) for STAMP (almost perfect agreement). Sensitivity of the PYMS, STRONG-kids, and STAMP were 96.8%, 87.1%, and 77.4%, respectively. Specificity of the PYMS, STRONG-kids, and STAMP was found to be 65.0%, 30%, and 60.0%, respectively.

CONCLUSION

The inter-rater and intra-rater reliability of the three tools were determined to be good. While PYMS was found to be more sensitive in detecting the malnutrition risk when compared to the other tools, STRONG-kids had the lowest specificity according to the agreement between tool results and anthropometric assessment.

StrongKids for pediatric nutritional risk screening in Brazil: a validation study

OBJECTIVES

To evaluate the validity and reproducibility of StrongKids as a pediatric nutritional screening tool in Brazil, which has no validated method for this purpose.

METHODS

A cross-sectional study was conducted with 641 patients admitted to the pediatric care unit of a public hospital from 2014 to 2018. The concurrent validity was assessed by evaluating the sensitivity, specificity, and the positive and negative predictive values of StrongKids in detecting acute, chronic, and overall malnutrition. Predictive validity was determined by calculating the same indices to identify longer than median hospital stay, need of enteral nutrition, 30-day hospital readmission, transfer to hospitals with more complex procedures, and death. StrongKids was reapplied to a subsample to evaluate the inter-rater reproducibility.

RESULTS

Prevalence of low risk was 15.6%, moderate risk was 63.7%, and high nutritional risk was 20.7%. A positive test, corresponding to the moderate or high risk category, identified all those with acute malnutrition and showed sensitivity of 89.4% (95% CI: 76.9-96.4) and 94.0% (95% CI: 86.6-98.0) for the detection of chronic and overall malnutrition, respectively. Regarding its predictive capacity, 100% of the patients who needed enteral nutrition, who were transferred, died, or were readmitted to hospital within 30 days after discharge were considered in risk by StrongKids, and the sensitivity to identify those with prolonged hospital stays was 89.2 (95% CI: 84.6-92.7). The inter-rater agreement was excellent (PABAK: 0.87).

CONCLUSIONS

StrongKids had satisfactory validity and reproducibility and successfully identified nutritional deficits and predict unfavorable health outcomes. Our results support the use of StrongKids as a pediatric nutritional risk screening method in Brazil.