Reproducibility and Inter-rater Reliability of 2 Paediatric Nutritional Screening Tools

Predictive Validity of the Academy of Nutrition and Dietetics/American Society for Parental Nutrition Indicators to Diagnose Malnutrition and the Screening Tool for Risk on Nutritional Status and Growth among Hospitalized Children Relative to Medical Outcomes

OBJECTIVE

To evaluate predictive validity of the Academy of Nutrition and Dietetics/American Society for Parenteral and Enteral Nutrition Indicators to diagnose pediatric malnutrition (AAIMp) and the Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) in regard to pediatric patient outcomes in US hospitals.

STUDY DESIGN

A prospective cohort study (Clinical Trial Registry: NCT03928548) was completed from August 2019 through January 2023 with 27 pediatric hospitals or units from 18 US states and Washington DC.

RESULTS

Three hundred and forty-five children were enrolled in the cohort (n = 188 in the AAIMp validation subgroup). There were no significant differences in the incidence of emergency department visits and hospital readmissions, hospital length of stay (LOS), or health care resource utilization for children diagnosed with mild, moderate, or severe malnutrition using the AAIMp tool compared with children with no malnutrition diagnosis. The STRONGkids tool significantly predicted more emergency department visits and hospital readmissions for children at moderate and high malnutrition risk (moderate risk - incidence rate ratio 1.65, 95% CI: 1.09, 2.49, P = .018; high risk - incidence rate ratio 1.64, 95% CI: 1.05, 2.56, P = .028) and longer LOS (43.8% longer LOS, 95% CI: 5.2%, 96.6%, P = .023) for children at high risk compared with children at low risk after adjusting for patient characteristics.

CONCLUSIONS

Malnutrition risk based on the STRONGkids tool predicted poor medical outcomes in hospitalized US children; the same relationship was not observed for a malnutrition diagnosis based on the AAIMp tool.

Nutritional rehabilitation of malnourished children detected by Screening Tool for Assessment of Malnutrition in Pediatric: Urban versus rural settings

BACKGROUND

Malnutrition presents a major global health burden. In Egypt, it remains an important issue in children under 5 years especially in rural communities.

AIM OF THE STUDY

The aim of the study was to screen 2-5 years old children enrolled from Egyptian hospitals in rural and urban areas for the risk of malnutrition using Screening Tool for Assessment of Malnutrition in Pediatric (STAMP) and to evaluate the effectiveness of nutritional intervention programs.

SUBJECTS AND METHODS

This cross-sectional study was conducted on 90 patients recruited from two hospitals in urban and rural Cairo, Dietary history and anthropometric measurements were assessed. Patients at intermediate and severe risk of malnutrition according to STAMP were given tailored nutritional programs.

RESULTS

In the rural hospital, 4.4% of the screened children were underweight, 22.2% were marginally underweight, and 73.3% had normal weight. Regarding the urban hospital, 15.6% were marginally underweight, 84.4% had normal weight and no underweight patients. Among the rural group 35.6% were at high risk according to STAMP score results compared to 20% in the urban group. Nevertheless, the only significant differences were the more stunting and higher BMI in rural hospital patients. After nutritional intervention, high-risk category patients decreased in both groups coupled by significant improvement in the anthropometric parameters and nutrition data with no significant differences between them.

CONCLUSION

Nutritional education and prompt implementation of nutritional rehabilitation program for malnourished children detected by screening tools result in improvement in their nutritional status disregards their location whether urban or rural.

Value of Nutritional Screening Tools Versus Anthropometric Measurements in Evaluating Nutritional Status of Children in a Low/Middle-Income Country

Purpose

Pediatric patients in low-income countries are at a high risk of malnutrition. Numerous screening tools have been developed to detect the risk of malnutrition, including the Subjective Global Nutritional Assessment (SGNA), Pediatric Yorkhill Malnutrition Score (PYMS), Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), and Screening Tool for Risk of Nutritional Status and Growth (STRONGkids). However, anthropometry remains the main tool for assessing malnutrition. We aimed to identify the value of four nutritional screening tools versus anthropometry for evaluating the nutritional status of children.

Methods

We conducted a cross-sectional study of 1,000 children aged 1-12 years who visited the outpatient clinic of Cairo University Pediatric Hospital. Each participant was evaluated using anthropometric measurements (weight, length/height, and weight for length/height) as well as the PYMS, STAMP, STRONGkids, and SGNA screening tools. The sensitivities and specificities of these four tools were assessed using anthropometry as the gold standard.

Results

Of the patients, 1.7% were underweight, 10.2% were wasted, and 35% were stunted. STRONGkids demonstrated the highest sensitivity (79.4%) and a high specificity (80.2%) for detecting malnutrition compared with weight for height, followed by STAMP, which demonstrated lower sensitivity (73.5%) but higher specificity (81.4%). PYMS demonstrated the lowest sensitivity (66.7%) and the highest specificity (93.5%), whereas SAGA demonstrated higher sensitivity (77.5%) and lower specificity (85.4%) than PYMS.

Conclusion

The use of nutritional screening tools to evaluate the nutritional status of children is valuable and recommended as a simple and rapid method for identifying the risk of malnutrition in pediatric patients.

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.

STRONGkids nutrition screening tool in pediatrics: An analysis of cutoff points in Brazil

BACKGROUND

Studies have indicated the Screening Tool for Risk on Nutritional Status and Growth (STRONGkids) as a method of pediatric nutrition screening with good validity in the hospital setting. However, we need to analyze whether the cutoff values originally proposed are suitable for use in Brazil.

METHODS

A cross-sectional study was performed in patients admitted to the pediatric ward of a public hospital. STRONGkids was used to assess nutrition risk (low risk, 0 points; moderate risk, 1-3 points; and high risk, 4-5 points). The indexes weight/height or body mass index/age were used to indicate acute malnutrition, and length or height/age was used to indicate chronic malnutrition. Receiver operating characteristic curves were constructed and the areas under the curve were calculated, with respective 95% confidence intervals, to assess the ability of STRONGkids to predict malnutrition and longer hospital stay.

RESULTS

The study included 599 patients, with a median age of 2.6 years. The frequency of nutrition risk (medium or high) was 83.6%. In comparison with anthropometric indexes, STRONGkids was the only scoring system with the discriminatory capacity to identify patients with longer hospital stays. The comparative analysis of the means of hospital stay according to STRONGkids showed that patients with a score equal to 3 behaved similarly to those classified as high nutrition risk (4-5 points).

CONCLUSIONS

Considering the best cutoff point to predict prolonged hospitalization, STRONGkids used in Brazil should consider patients with 3 points as having high nutrition risk, as well those scoring 4 and 5.

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.

The role of Chinese clinical pharmacists in parenteral nutrition for children using the Screening Tool Risk on Nutrititional Status and Growth (STRONGkids)

Background The abuse and deficiency of nutritional support coexist in China, and clinical pharmacists have responsibilities to promote the rational use of drugs. Objective Apply the Screening Tool Risk on Nutritional Status and Growth to observe the influence of parenteral nutrition on children with an incarcerated hernia and educate physicians to promote the rational use of parenteral nutrition. Setting Department of General Surgery of Nanjing children's hospital. Method Patients were grouped according to the sores of Screening Tool Risk on Nutritional Status and Growth, and each group was then divided into subgroups according to receiving parenteral nutrition only (subgroup A) or no extra nutritional support (subgroup B). The clinical results were compared to ascertain whether parenteral nutrition was necessary, and the clinical pharmacists educated the physicians according to the results. One year later, the clinical results before and after education were compared. Main outcome measure Nutritional indicators (body weight, albumin, prealbumin, retinol binding protein), length of hospital stay after operation, hospitalization cost and incidence of adverse reactions. Results There were no significant differences in changes of nutritional indicators between the A and B subgroups of the score 1 and 2 groups. In the score 3 group, decreases of nutritional indicators were more pronounced in subgroup B than in subgroup A, and the length of hospital stay after operation was significantly shorter in subgroup A. The incidence of adverse reactions was significantly higher for those who received parenteral nutrition. One year after the clinical pharmacists educated the staff, the use of parenteral nutrition, hospitalization cost and incidence of adverse reactions significantly decreased. Conclusions Clinical pharmacists played an important role in improving the rational use of parenteral nutrition.

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.

Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) in the Electronic Health Record: A Validation Study

BACKGROUND

The impact of malnutrition on pediatric patients in the acute care setting is significant. Hospitalized patients with malnutrition have been shown to have poor clinical outcomes. Nutrition screening is the first critical step in identifying and treating malnutrition. Although several pediatric nutrition screening tools exist, none incorporate both electronic health record (EHR) compatibility and the recommended indicators of pediatric malnutrition, a gap recently identified in a systematic review by the Academy of Nutrition and Dietetics. The aim of this study was to prove the validity of a new version of Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), EHR-STAMP, modified for incorporation into the EHR and inclusion of updated pediatric malnutrition indicators.

METHODS

An interprofessional team modified the existing STAMP for integration into the EHR. Audits were performed by the research dietitian to assess accuracy and provide feedback for continuous improvement of the tool design.

RESULTS

A total of 3553 pediatric inpatients were studied from August 2017 to May 2019. Accuracy, sensitivity, and specificity improved with each modification to the EHR-STAMP. The final version of the EHR-STAMP found 85% accuracy, 89% sensitivity, and 97% specificity, with a positive predictive value of 60% and a negative predictive value of 94%.

CONCLUSION

The EHR-STAMP is a highly reliable tool in the screening of nutrition risk for pediatric hospitalized patients. The tool is easy to use, EHR compatible, and incorporates the current indicators recommended for assessing pediatric malnutrition.

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.

Assessment of Two Nutritional Screening Tools in Hospitalized Children

Aim: to evaluate validity and concordance of Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) and Screening Tool for Risk On Nutritional status and Growth (STRONGkids) screening tools for assessment of nutritional risk in pediatric inpatients. Methods: Prospective longitudinal observational multicenter study in children aged 1 month or older admitted as inpatients. Weight, height, cause of admission, demographic data, length of stay, and nutritional interventions were recorded. STAMP and STRONGkids were applied within the first 72 h of admission. Anthropometric measurements were recorded again 12–18 months after admission. Results: Eighty-one patients with median age of 4.1 years completed the study. Agreement between tools was moderate (κ = 0.47). STAMP had a greater tendency to classify patients as high risk (12.3% vs. 2.5%). Both tools showed very weak correlation with height for age. All undernourished patients at the beginning and the end of the study were classified as medium or high risk by STAMP and STRONGkids (100% sensitivity), although specificity was below 50% in all cases. There were no differences in length of stay based on nutritional risk with any of the tools. Conclusions: STAMP and STRONGkids demonstrated moderate agreement, with high sensitivity but low specificity for the diagnosis of undernutrition. Further studies are required to analyze cost-effectiveness of these tools and nutritional interventions derived from them.

Revisión sistemática y análisis comparativo de las herramientas de tamizaje nutricional en pediatría validadas en Europa y Canadá

Introducción. El tamizaje nutricional es una herramienta efectiva que permite establecer el riesgo de desnutrición hospitalaria, por consiguiente es importante revisar las directrices respecto a su uso en pediatría.Objetivo. Ofrecer recomendaciones sobre el uso de las herramientas de tamizaje nutricional validadas en Canadá y Europa en población colombiana. Materiales y métodos. Se realizó una revisión sistemática siguiendo la metodología PRISMA. Para la evaluación de la calidad de la evidencia se utilizó la herramienta U.S Preventive Services Task Force, formulada para medir acciones preventivas por la Canadian Task Force on the Periodic Health Examination.Resultados. Se incluyeron 15 estudios que cumplían los criterios de selección y se identificaron 7 herramientas (PYMS, iPYMS, PeDiSMART, PNR, STAMP, PMST y STRONGkids). Según los lineamientos de la Sociedad Europea de Nutrición Clínica y Metabolismo, la PYMS, la iPYMS y la STRONGkids evalúan simultáneamente variables pronósticas como estado nutricional actual, estabilidad, progresión esperada e influencia de la enfermedad. En cuanto a validez concurrente, el análisis de datos muestra que la PYMS, la iPYMS y la PMST tienen sensibilidades >85% y que la PYMS tiene especificidad >85%. Respecto a reproducibilidad, la PEDISMART, la STRONGkids, la STAMP y la PYMS tienen una concordancia inter-observadores aceptable (k>0.41).Conclusión. Según la evidencia analizada en términos de variables pronósticas, validez concurrente y reproducibilidad, se sugiere el empleo en la práctica clínica de la herramienta PYMS, mientras que para el uso de la STAMP y la iPYMS las instituciones deben evaluar su aplicabilidad.

Screening and assessment tools for early detection of malnutrition in hospitalised children: a systematic review of validation studies

OBJECTIVE

The aim of the present study was to identify all currently available screening and assessment tools for detection of malnutrition in hospitalised children, and to identify the most useful tools on the basis of published validation studies.

DESIGN

Systematic review.

DATA SOURCES

PubMed, CINAHL and MEDLINE were searched up to October 2017.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Studies in English that reported sensitivity, specificity and positive/negative predictive values (PPVs/NPVs) in the paediatric population were eligible for inclusion.

DATA EXTRACTION AND SYNTHESIS

Two authors independently screened all of the studies identified, and extracted the data. The methodological qualities of the studies included were assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool.

RESULTS

The 26 validation studies that met the inclusion criteria for this systematic review used eight screening and three assessment tools. The number of participants varied from 32 to 14 477. There was considerable variability in the chosen reference standards, which prevented direct comparisons of the predictive performances of the tools. Anthropometric measurements were used as reference standards in 16 of the identified studies, and full nutritional assessment in 5. The Pediatric Yorkhill Malnutrition Score (PYMS) screening tool performed better than Screening Tool for the Assessment of Malnutrition and Screening Tool for Risk On Nutritional status and Growth when compared in terms of anthropometric measurements, especially for body mass index (Se=90.9, Sp=81.9) and triceps skinfold thickness (Se=80.0, Sp=75.0). However, low PPVs indicated the problem of overprediction of positive cases, which was typical for all of the studies that used anthropometric measurements as the reference standard.

CONCLUSIONS

This systematic review identifies the need for definition of the gold standard for validation of screening tools. Anthropometry measurements using WHO or Centers for Disease Control and Prevention growth charts should be considered as the possible reference standard in future validation studies. We would recommend the use of PYMS for hospitalised paediatric patients without chronic conditions, in combination with full nutritional assessment.

PROSPERO REGISTRATION NUMBER

CRD42017077477.

Nutritional risk screening-a cross-sectional study in a tertiary pediatric hospital

BACKGROUND

All hospitalized patients should be screened for malnutrition risk. No universal method exists for pediatric patients.

METHODS

We performed a cross-sectional study comparing three published malnutrition risk screening tools (PYMS, STAMP, and STRONG_kids), applying them to each inpatient aged 1 month to 17 years over a period of five consecutive weekdays in Helsinki University Hospital, Finland.

RESULTS

Of the eligible patients, 67% (n = 69) participated. We found that 6.2% of the children were acutely malnourished and accurately categorized by the three tools. STRONG_kids showed the highest specificity (100%) and positive predictive value (36%). Acute malnutrition seemed to be associated with longer hospital stay (p = 0.051).

CONCLUSION

STRONG_kids was the most accurate screening tool for detecting acute malnutrition and was therefore chosen as the screening method in our hospital. Routine screening for the risk of malnutrition in pediatric inpatients is important in detecting at-risk children who would otherwise be left without dietary intervention.

STRONGkids: Predictive Validation in Brazilian Children

OBJECTIVES

The aim of the study is to assess STRONGkids as a tool for predicting weight loss and length of hospital stay in children and to determine whether the anthropometric diagnosis of nutritional status at the time of admission was associated with weight loss and length of hospital stay.

METHODS

A methodological study recruiting 245 children age between 1 and 10 years of age admitted to a tertiary hospital. The participants were weighed daily until discharge. Validation of the STRONGkids tool for the identification of patients sustaining weight loss at the end of hospitalization involved the calculation of sensitivity, specificity, and positive and negative predictive values, and anthropometric assessment.

RESULTS

A total of 129 (52.7%) children lost weight at the end of hospitalization. Of these, 73 (56.6%) lost over 2% of their weight on admission. The tool had a sensitivity of 55.8%, a specificity of 38.8% and a positive predictive value of 50.3% in identifying children who lost weight. The anthropometric assessment had a sensitivity of 26.5%, a specificity of 75.9%, and a positive predictive value of 49.1%.

CONCLUSIONS

The model used to develop the STRONGkids tool incorporated clinical evaluation to a greater extent than the assessment of nutritional status. The tool, however, had a low sensitivity and a high percentage of false positives. Therefore, it should be considered as a preliminary evaluation tool and its use should be complemented with clinical data.

Clinical significance of nutritional risk screening tool for hospitalised children with acute burn injuries: a cross-sectional study

BACKGROUND

We assessed the nutritional risks among children hospitalised with acute burn injuries and their associated clinical outcomes using three nutritional risk screening (NRS) tools: Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONG_KIDS ), Pediatric Yorkhill Malnutrition Score (PYMS) and Screening Tool for the Assessment for Malnutrition in Pediatrics (STAMP).

METHODS

This prospective cross-sectional study was conducted from October 2015 to November 2016, in a regional burn centre. Patients were screened by two independent observers, using the three NRS tools.

RESULTS

A total of 100 children aged 3 months to 16.5 years were included. STRONG_KIDS identified 16% of patients as having high risk, with being identified 45% by PYMS and 44% by STAMP. After adjustment for confounding factors in multivariate regression analysis, patients in the high-risk group had significantly longer median (SD) lengths of stay [medium versus high risk: STRONG_KIDS , 9.5 (6.6) versus 15.0 (24.2) days; PYMS, 8.5 (4.4) versus 13.0 (16.1) days; STAMP, 9.0 (5.7) versus 11.0 (17.4) days] and greater median (SD) weight loss [medium versus high risk: STRONG_KIDS, 0.15 (0.8) versus -0.35 (0.8) kg; STAMP, 0.5 (0.7) versus 0 (0.1) kg] than patients in the medium-risk group (P < 0.05). The strengths of agreement in the nutritional risk classification between the two observers were good (κ for STRONG_KIDS = 0.61; PYMS = 0.79; STAMP = 0.75) (P < 0.01).

CONCLUSIONS

The STRONG_KIDS , PYMS and STAMP tools could be useful and practical for determining which hospitalised children with acute burn injuries will need additional nutritional intervention.