Nutritional risk screening and its clinical significance in hospitalized children

Nutritional risk screening and nutritional assessment for children with cerebral palsy: A review of the current research status and future directions

BACKGROUND

Although the primary impairment involved in Cerebral palsy (CP) is motor function, malnutrition is also common. However, there is a lack of tool recommendations for early malnutrition risk screening in children with CP, and the means of nutritional intervention for children with CP are also limited.

METHODS

This study systematically searched the literature about clinical nutrition related content of cerebral palsy in Pubmed, MEDLINE, Embase, and the Cochrane Library in Jan 2024 and by hand searching, and we checked reference lists and citations to identify additional studies. Search terms include cerebral palsy, children, diagnosis, prediction, malnutrition, nutritional risk screening, nutritional assessment, nutritional support. Additions are marked in red in the modified version.

RESULTS

The timing of diagnosis of CP has been moving forward, and some new diagnostic tools have been developed. Nutritional status is correlated with regional economic level, but there is still a malnutrition rate of nearly 30 % in developed countries. Severe restrictions in terms of gross motor function, swallowing dysfunction, feeding difficulties, cognitive impairment, and insufficient energy intake are common risk factors for malnutrition in children with CP. Z-score should be calculated in combination with measurement indicators in the assessment of physical development of children with CP. The nutritional outcomes of children with CP can be improved by various means, including diversified a Nutrition Support Team (NST) interventions.

CONCLUSIONS

The incidence of malnutrition in children with CP is high, which needs to be paid more attention. More effective malnutrition risk screening tools need to be developed for children with CP to guide the implementation of comprehensive and personalized nutritional interventions and improve malnutrient-related outcomes.

Nutritional Screening Tools in the Pediatric Population: A Systematic Review

BACKGROUND/OBJECTIVES

Disease-related malnutrition (DRM) is the most common type of malnutrition in industrialized countries, and it has a high associated morbidity. Despite the existence of various screening tools for its detection, there is currently no consensus in the literature on which one is the most appropriate for clinical use. The aim of this systematic review is to update the available evidence on pediatric nutritional screening tools and to compare their validity and applicability.

METHODS

A systematic review of the literature was conducted using the MEDLINE (PubMed) database, selecting articles related to nutritional screening tools in the pediatric population. A quality assessment was carried out using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2).

RESULTS

A total of 200 articles were identified, of which 11 were included in the review. They include a total of 9,573 patients (mean age of 6.7 years and 49% female) from different countries. Eight screening tools were found, and three of them were the most employed: the Screening Tool for Risk on Nutritional Status and Growth (STRONGkids), the Screening Tool for the Assessment of Malnutrition in Pediatric (STAMP), and the Pediatric Yorkhill Malnutrition Score (PYMS). A high level of heterogeneity was observed among the selected studies without a gold standard for comparison.

CONCLUSIONS

Despite the heterogeneity, the PYMS seems to have the greatest capacity to detect pediatric patients at nutritional risk and should therefore be considered when choosing a nutritional screening tool.

Association of handgrip strength with nutritional status and clinical outcomes in hospitalized pediatric patients

BACKGROUND & AIMS

Malnutrition in children and adolescents is prevalent at hospital admission and the incidence increases with length of stay. Malnourished patients have loss of muscle mass and strength, compromising their functionality. Handgrip strength (HGS) is a nutritional marker understudied in pediatrics although it is capable of detecting nutritional deprivation before changes in body composition are observed. Therefore, this study aimed to evaluate the association between reduced HGS at hospital admission, compromised nutritional status and worse clinical outcomes of pediatric patients.

METHODS

Cohort study conducted with patients aged 6-18 years admitted to a pediatric ward. Nutritional status was assessed in the first 48 h of hospital admission using the z-score of height for age (H/A) and body mass index for age (BMI/A), percentile of mid-arm muscle circumference for age (MAMC/A) and the pediatric global subjective nutritional assessment (SGNA). HGS was measured using a digital dynamometer and considered reduced when the maximum value of three measurements was below the 5th percentile for sex and age. The clinical outcomes analyzed were length of hospital stay and frequency of readmission within 3 months after hospital discharge.

RESULTS

A total of 135 patients were evaluated (median age 10.9 years, 55.6% male) and 17.8% had reduced HGS. Patients with reduced HGS had lower H/A z-score (-0.50 vs 0.22, p = 0.012) and a higher frequency of reduced MAMC when compared to those with normal HGS (8% vs 13%, p = 0.007). Reduced HGS was not associated with malnutrition (OR = 0.63; 95%CI 0.23-1.77), prolonged hospital stay (OR = 1.89; 95%CI 0.72-4.92) or readmission to hospital 3 months after hospital discharge (OR = 1.82; 95%CI 0.67-4.93), in a model adjusted for the clinical condition.

CONCLUSION

Reduced HGS was not a predictor of malnutrition and clinical outcomes. However, it was associated with lower H/A Z-score and MAMC/A percentile values and can be used as a complementary measure in the nutritional status assessment of hospitalized pediatric patients.

Prospective evaluation and follow-up of nutritional status of children hospitalized in secondary-care level hospitals: a multicentre study

Although disease-associated undernutrition is still an important problem in hospitalized children that is often underrecognized, follow-up studies evaluating post-discharge nutritional status of children with undernutrition are lacking. The aim of this multicentre prospective observational cohort study was to assess the rate of acute undernutrition (AU) and/or having a high nutritional risk (HR) in children on admission to seven secondary-care level Dutch hospitals and to evaluate the nutritional course of AU/HR group during admission and post-discharge. STRONGkids was used to indicate HR, and AU was based on anthropometric data (z-score < -2 for weight-for-age (WFA; <1 year) or weight-for-height (WFH; ≥1 year)). In total, 1985 patients were screened for AU/HR over a 12-month period. On admission, AU was present in 9.9% of screened children and 6.2% were classified as HR; 266 (13.4%) children comprised the AU/HR group (median age 2.4 years, median length of stay 3 days). In this group, further nutritional assessment by a dietitian during hospitalization occurred in 44% of children, whereas 38% received nutritional support. At follow-up 4-8 weeks post-discharge, 101 out of orginal 266 children in the AU/HR group (38%) had available paired anthropometric measurements to re-assess nutrition status. Significant improvement of WFA/WFH compared to admission (-2.48 vs. -1.51 SD; p < 0.001) and significant decline in AU rate from admission to outpatient follow-up (69.3% vs. 35.6%; p < 0.001) were shown. In conclusion, post-discharge nutritional status of children with undernutrition and/or high nutritional risk on admission to secondary-care level pediatric wards showed significant improvement, but about one-third remained undernourished. Findings warrant the need for a tailored post-discharge nutritional follow-up.

A fermented milk drink with Umbu (Spondias tuberosa) pulp and whey is effective for weight gain and re-nutrition in malnourished: An in vivo study in mice and children

Malnutrition is considered one of the major public health problems worldwide and negatively affects the growth, development and learning of schoolchildren. This study developed and evaluated a fermented milk drink with added Umbu (Spondias tuberosa) pulp in the weight gain and renutrition of mice submitted to malnutrition by calorie restriction, and in malnourished children. The supplementation with this fermented milk drink contributed to an increase of 7.2 % in body weight, and 64.3 % in albumin, and a reduction of 35 % in cholesterol in malnourished mice. In humans, a group of nine malnourished children consumed a daily 200 mL serving of the milk drink (for 60 days). For humans, the fermented milk drink allowed an increase of 16.5 % in body weight, and 20.9 % in body mass index in malnourished children. In conclusion, fermented milk drink has a positive effect on the re-nutrition of malnourished mice and helps to improve the nutritional status of malnourished children.

Families' perception of proposed nutrition screening on admission to pediatric hospitals: a qualitative analysis

Nutrition screening is the first step in most acute care pediatric nutrition care pathways. However, there is a lack of understanding of patient and families' perception of nutrition screening in pediatric populations. The objective of this study was to explore the potential perceptions, feelings, and opinions of families if pediatric nutrition screening were to be completed during hospital admission. Nine members of the Family Advisory Council at the Alberta Children's Hospital participated in a focus group to discuss questions around nutrition screening practices, malnutrition, and the pediatric nutrition screening tool. Transcripts were analyzed using MAXQDA and thematic analysis using the Braun and Clarke methodology. Two major themes emerged: screening may raise sensitive emotions and understanding the purpose of nutrition screening and the questions. Participants agreed discussions around growth and nutrition are vital to comprehensive medical care; however, the timing and approach of nutrition screening can lead to anxiety and feelings of judgement. A lack of understanding of the purpose of screening, next steps, and benefit to the individual patient could limit acceptance of nutrition screening. The findings of this study can inform training and education of healthcare professionals involved in nutrition screening.

Implementation of STRONGkids for identifying nutritional risk in outpatients of child health care clinics: Results of a multicentre study

AIM

To investigate nutritional risk across children in their first 2 years at child health care clinics in Jiangsu, China, and to highlight the importance of nutritional risk screening in outpatient clinics.

METHODS

A multi-centre, cross-sectional, observational study was conducted among outpatients in child health care clinics. Nutritional risk screening using the STRONGkids tool and anthropometric assessments were performed on children under 2 years old at outpatient initial visits in ten hospitals from March 2021 to March 2022.

RESULTS

There were 11,454 children enrolled. The percentages of children with high, moderate and low nutritional risk were 2.0% (228), 28.2% (3229) and 69.8% (7997), respectively. The occurrence rate of high nutritional risk was higher in female children than in male children (p < 0.05). The incidence of moderate nutritional risk in infants was significantly higher than in children aged ≥12 months (p < 0.01). Children with moderate or high nutritional risk more frequently answered 'yes' to the STRONGkids item 'high risk disease or major surgery planned'. The top three diagnoses related to nutritional risk were prematurity (50.5%), food allergy (14.3%) and recurrent respiratory disease (10.7%). In addition, the incidence of chronic undernutrition in children with moderate (14.0%) or high nutritional risk (36.4%) was significantly higher than acute undernutrition (p < 0.01).

CONCLUSION

Among children up to 2 years of age seen in child health clinics, nutritional risk associated with prematurity and potential disease requires special attention. Nutritional risk screening should be part of child health care, and STRONGkids is a useful screening tool.

Evaluation of malnutrition and screening tools in hospitalized children

BACKGROUND & AIMS

Detecting malnutrition and its related risk factors are crucial, in hospitalized children. Anthropometric z scores are used to assess malnutrition. Screening tools also aim to detect the presence of malnutrition and the developing risk of malnutrition in hospitalized children to determine who may benefit from nutritional support. Therefore, the aims of the study are to detect malnutrition and its related demographic and clinical risk factors in hospitalized children and determining the sensitivity of Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) and Pediatric Yorkhill Malnutrition Score (PYMS) screening tools.

METHODS

A total of 130 hospitalized children aged between 0 and 18 years were included in to study. A survey including demographic and clinical characteristics, STAMP and PYMS were applied to parents of the children. Patients were classified into nutritional risk groups through screening tools. Anthropometric measurements (body weight, length/height, and middle upper arm circumference (MUAC) of the children were taken. Body mass index-for-age and height-for-age z scores were calculated to assess acute and chronic malnutrition prevalence. MUAC-for-age z scores were calculated as well. To detect independent risk factors for acute and chronic malnutrition multivariable logistic regression models were constructed.

RESULTS

A total of 14.6% of hospitalized children had acute malnutrition, 21.5% of children had chronic malnutrition and 27.7% of them had low MUAC standard deviation score (SDS) (less than -2). The independent risk factors for acute malnutrition were younger maternal age at birth and long length of stay (p < 0.05). The independent risk factors for chronic malnutrition were being female, younger maternal age at birth, longer illness duration and having urological or allergy and immunological diseases (p < 0.05). However, MUAC for age SDS groups were not related to any demographic and clinical factors, in children of all ages (p > 0.05). Regarding the screening tools, PYMS displayed 100% sensitivity against acute malnutrition. While PYMS displayed better sensitivity to identify acute malnutrition than STAMP, STAMP was more sensitive than PYMS to detect chronic malnutrition and low MUAC SDS.

CONCLUSIONS

Low MUAC for age SDS was not related to any demographic and clinical factors, in hospitalized children of all ages, unlike acute and chronic malnutrition, in this study. Pediatric screening tools mainly PYMS did not have high sensitivity to detect chronic malnutrition and low MUAC SDS, in hospitalized children. Therefore, the tools have to be used along with z scores of anthropometric parameters.

Nutritional Risk and Malnutrition in Paediatrics: From Anthropometric Assessment to Strongkids® Screening Tool

INTRODUCTION

The prevalence of malnutrition in hospitalized children is high and is associated with negative health impact. The aim of this study was to characterize the nutritional status of hospitalized children as well as comparing nutritional risk stratification using the STRONGkids® tool and anthropometric assessment.

MATERIAL AND METHODS

A prospective study was conducted between March and June 2019 in a paediatric unit of a district hospital. Children with ages between one month and 17 years were included. Nutritional screening (STRONGkids®) was performed, and demographic and anthropometric variables were assessed by trained doctors and nurses (z-scores for height-for-age, weight-for-age, weight-for-height and body mass index were compared to the World Health Organization reference values) and related to the underlying condition (cause of hospitalization; hospital stay; the presence of chronic disease).

RESULTS

A total of 209 children were evaluated, 188 of whom were included. Median age was 4.6 years and median hospital length of stay was four days. Fifty-four per cent were classified with "moderate risk" and 2% with "high risk" of developing malnutrition; 25% were effectively malnourished. Of the 105 children for which it was possible to calculate the z-scores, 6% presented acute malnutrition and nearly 14% presented chronic malnutrition. The STRONGkids® score correlated positively with nutritional status on admission, disease type on admission, and presence of previous underlying disease (p < 0.05).

CONCLUSION

STRONGkids® is a simple, quick nutritional screening tool for hospitalized children that is related to nutritional status on admission. Given that a considerably high percentage of children were identified as being at risk for malnutrition, it is essential to identify this early and provide nutritional intervention during hospitalization.

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.

A Practical Approach to Identifying Pediatric Disease-Associated Undernutrition: A Position Statement from the ESPGHAN Special Interest Group on Clinical Malnutrition

ABSTRACT

Disease-associated undernutrition (DAU) is still common in hospitalized children and is generally accepted to be associated with adverse effects on disease outcomes; hence making proper identification and assessment essential in the management of the sick child. There are however several barriers to routine screening, assessment, and treatment of sick children with poor nutritional status or DAU, including limited resources, lack of nutritional awareness, and lack of agreed nutrition policies. We recommend all pediatric facilities to 1) implement procedures for identification of children with (risk of) DAU, including nutritional screening, criteria for further assessment to establish diagnosis of DAU, and follow-up, 2) assess weight and height in all children asa minimum, and 3) have the opportunity for children at risk to be assessed by a hospital dietitian. An updated descriptive definition of pediatric DAU is proposed as "Undernutrition is a condition resulting from imbalanced nutrition or abnormal utilization of nutrients which causes clinically meaningful adverse effects on tissue function and/or body size/composition with subsequent impact on health outcomes." To facilitate comparison of undernutrition data, it is advised that in addition to commonly used criteria for undernutrition such as z score < -2 for weight-for-age, weight-for-length, or body mass index <-2, an unintentional decline of >1inthese z scores over time should be considered as an indicator requiring further assessment to establish DAU diagnosis. Since the etiology of DAU is multifactorial, clinical evaluation and anthropometry should ideally be complemented by measurements of body composition, assessment of nutritional intake, requirements, and losses, and considering disease specific factors.

Using Quality Improvement to Improve Identification and Documentation of Malnutrition in Hospitalized Pediatric Patients

Recent publications have highlighted the importance and impact of recognizing malnutrition in hospitalized children. After noting that patients with malnutrition frequently went unrecognized in our facility, we implemented an interprofessional intervention comprising hospital medicine physicians, dietitians, and the clinical documentation improvement team to improve recognition and documentation of malnutrition in these patients, thereby facilitating earlier intervention.

Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks

As the global economy develops and the complexity of supply chains increases, the effective mitigation of sustainable supply chain risks in electronics manufacturing has become important. While quality function deployment (QFD) has been successfully applied to many fields of multicriteria decision-making (MCDM), there is a lack of research on constructing a house-of-quality model that can be combined with MCDM for connecting supply chain agility with sustainable supply chain risks, especially in the field of electronics manufacturing. The objective of this study was to develop an integrated framework of QFD and MCDM and to devise an effective method to mitigate sustainable supply chain risks by improving supply chain agility. Such a method can help the multinational electronics manufacturing industry to develop stable and sustainable supply chains. In a multinational electronic manufacturing enterprise as an example, the results showed that the case enterprise work should focus on improving agility ‘production and sales capability’, ‘quick decision-making/strategic flexibility’, ‘electronic shiapment of finished products to control shipment operations’, ‘supplier on-time delivery rates’ and ‘cost minimization’. Improving agility would help enhance the ‘credibility and competence of operators and leaders’ and ‘product safety and quality’ and reduce ‘goods disruption or delay due to inadequate supply mobility and poor financial performance’, ‘information system instability’, the ‘long product lead time’ and other key sustainable supply chain risks. The proposed framework can not only be effectively used by other electronics manufacturers to develop agile strategies to mitigate sustainable supply chain risks, but also provides a reference for risk management for manufacturers in other fields.

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.

Prevalence of malnutrition risk and acute malnutrition in pediatric population in a tertiary hospital and their burden on healthcare

BACKGROUND

Malnutrition is related to an increased rate of complications and prolonged hospital stays. Malnutrition risk screening is recommended for all hospital inpatients, but its applicability as part of routine care is not well known.

METHODS

The prevalence of malnutrition risk, measured by the Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGkids), and acute malnutrition were studied 1 day per year in all pediatric inpatient and day wards in 2015 and 2016 and in inpatients and outpatients in 2017 at a university hospital. Nurses carried out the STRONGkids screening and measured the weight and height of each child, recording the information in the hospital database, where it was subsequently extracted along with data on the child's diagnoses, procedures, and the length and costs of hospital stay.

RESULTS

In all, 696/1217 patients (57.2%) were screened. Of inpatients and outpatients, 37/398 (9.3%) and 3/298 (1.0%), respectively, were classified as being at high risk of malnutrition. The corresponding figures for those who were acutely malnourished were 18/260 (6.9%) and 11/264 (4.2%). High risk of malnutrition increased the costs and length of hospital stay (P < .05). Dietetic input was involved during hospital stay in 12/37 (32.4%), 32/173 (18.5%), and 13/188 (6.9%) of inpatients at high, moderate, and low risk, respectively (P < .001). Nutrition risk screening did not detect all patients classified as acutely malnourished.

CONCLUSION

Hospitals need to ensure proper application of nutrition screening, develop a protocol for the care of children at nutrition risk, and monitor the use of this protocol.

Resilience-Enhancing Solution to Mitigate Risk for Sustainable Supply Chain—An Empirical Study of Elevator Manufacturing

As the complexity of supply chains increases, the enhancement of resilience for mitigating sustainable disruption risks in supply chains is an important issue. Quality function deployment (QFD) has been successfully applied in many domains to solve multicriteria decision-making (MCDM) problems. However, research on developing two houses of quality to connect sustainable supply chain disruption risks, resilience capacities, and resilience-enhancing features in elevator manufacturing supply chains by using the MCDM approach is lacking. This study aims to develop a framework for exploring useful decision-making by integrating the MCDM approach and QFD. By applying the framework, supply chain resilience can be improved by identifying the major sustainable risks and the key resilience to mitigate these risks. Important managerial insights and practical implications are obtained from the framework implementation in a case study of the elevator manufacturing industry. To strengthen resilience and thus mitigate key risks, the most urgent tasks are to connect the working site and the backstage to enhance product development and design and to share real-time job information. When these features are strengthened, agility, capacity, and visibility can be improved. Finally, unexpected events lead to changes in supplier delivery dates, and factors such as typhoon and lack of critical capacities/skilled employees with the greatest impact can be alleviated. This framework will provide an effective and pragmatic approach for constructing sustainable supply chain risk resilience in the elevator manufacturing industry.

Development of a simple and valid nutrition screening tool for pediatric hospitalized patients with acute illness

Background: Nutritional screening, intervention and assessment in patients with undernutrition are key components of any nutritional care. The goal of any nutritional assessment is to determine the specific nutritional risk(s). Presently, there are no guidelines on any ideal screening tool to be used on admission for identification of children that are at risk of developing malnutrition during their hospital stay. The objective of the study was to develop a valid and simple nutritional screening tool which can be used on hospital admission to identify pediatric patients at risk of malnutrition . Methods: This study was cross sectional analytical that enrolled children (n:161) admitted with acute illness to the general wards at Cairo University Children Hospitals (CUCH). The answers to the developed questionnaire were compared to the Subjective Global Assessment (SGA), those with high accuracy (≥80%) were used for validity with anthropometric measures. Results: In the 'less than two years of age' group, the simple and valid nutritional screening tools were the following questions: (Is there a problem during breast-feeding?), (Is there scanty breast milk?), (Is there appetite loss?). The simple and valid nutritional screening tools during the 'early childhood' group were the following questions: (Is there appetite loss?), (Is there any skipping of meals?), (Are they watching TV, videotapes and/or playing computer games for more than two hours/day?). The simple and valid  nutritional screening tools during the 'late childhood' group were the following questions: (Is there appetite loss?), (Are they watching TV, videotapes and/or playing computer games for more than two hours/day?). Conclusion: The simple and valid nutritional screening tools differ according to age groups. The one which is valid in all ages is the question about the appetite loss.

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.

Pediatric screening tools for malnutrition: an update

PURPOSE OF REVIEW

There is ongoing interest in nutritional screening tools in pediatrics to facilitate the identification of children at risk for malnutrition who need further assessment and possible nutritional intervention. The choice for a specific tool depends on various factors. This review aims to provide an overview of recent progress in pediatric nutritional screening methods.

RECENT FINDINGS

We present recent studies about newly developed or adjusted tools, the applicability of nutritional screening tools in specific populations, and how to implement screening in the overall process of improving nutritional care in the pediatric hospital setting.

SUMMARY

Three new screening tools have been developed for use on admission to hospital: two for the mixed pediatric hospitalized population and one for infants. A simple weekly rescreening tool to identify hospital-acquired nutritional deterioration was developed for use in children with prolonged hospital stay. Different from most previous studies that only assessed the relationship between the nutritional risk score and anthropometric parameters of malnutrition, new studies in children with cancer, burns, and biliary atresia show significant associations between high nutritional risk and short-term outcome measures such as increased complication rate and weight loss. For implementation of a nutritional care process incorporating nutritional screening in daily practice, simplicity seems to be of great importance.

STRONGkids validation: tool accuracy

OBJECTIVE

Validate the accuracy of the Screening Tool for Risk on Nutritional status and Growth (STRONGkids) and estimate the prevalence of malnutrition and nutritional risk in hospitalized children.

METHODS

Cross-sectional study of a representative sample of children admitted to ten public pediatric emergency rooms. The sample was randomly estimated in stages, including children older than 30 days and younger than 10 years of age, of both sexes, excluding syndromic children and those in whom it was impossible to directly measure anthropometry. Weight, height, and arm circumference were measured, as well as the Z-scores of the anthropometric indices weight-for-age, height-for-age, weight-for-height, body mass index for age, and arm circumference for age, classified according to the reference curves of the World Health Organization. After the tool was applied, its accuracy tests were performed in comparison with the anthropometric data, with the evaluation of sensitivity, specificity, and positive and negative predictive values.

RESULTS

A total of 271 children were evaluated, 56.46% males and 41.70% younger than 2 years of age. The prevalence rates of malnutrition, nutritional risk assessed by anthropometric measurements, and nutritional risk assessed by the tool were 12.18%, 33.95%, and 78.60%, respectively. Accuracy showed sensitivity of 84.8%, specificity of 26.7%, positive predictive value of 49.8%, and negative predictive value of 67.2%, when the patients at nutritional risk were identified by anthropometry.

CONCLUSION

Validation of the accuracy of STRONGkids was performed, showing high sensitivity, allowing the early identification of nutritional risk in similar populations.

Usefulness of the StrongKids Screening Tool in Detecting Anemia and Inflammation in Hospitalized Pediatric Patients

Objective: To assess whether the nutritional risk classified by StrongKids is associated with anemia and inflammation (total leukocytes and C-reactive protein (CRP)), as well as to compare the ability of StrongKids with anthropometry in identifying these changes in hospitalized pediatric patients.Methods: Cross-sectional study with patients admitted to the pediatric ward of a public hospital in Brazil, from 2014 to 2018. The experimental protocol included: nutritional risk screening by StrongKids; weight and height measurements; and biochemical tests (complete blood count and C-reactive protein - CRP). Sensitivity, specificity, positive predictive value and negative predictive value were calculated to assess the ability of StrongKids and anthropometry to identify patients with the biochemical changes.Results: The study included 482 patients (54.2% male), with a median age of 2.7 years. The frequency of nutritional risk (medium or high) was 85.9% and the prevalence of malnutrition (acute and/or chronic) was 20.2%. Overall, of the patients evaluated, 40.2% had anemia, 28.2% leukocytosis, and 78.0% high CRP. Children and adolescents classified as at nutritional risk (moderate/high) had lower levels of hemoglobin and higher levels of CRP and total leukocytes, as well as a higher frequency of leukocytosis, high CRP and the three alterations combined when compared with individuals at low risk. No association was found between anthropometric variables and biochemical alterations. The sensitivity of nutritional screening was high to detect all biochemical alterations and was superior to the anthropometric assessment.Conclusion: StrongKids was associated with alterations in biochemical parameters with a better performance than anthropometry.

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.

Malnutrition and medical nutrition therapy in hospitalized children: a case study of using national malnutrition screening tools in northeastern Iran

Background

Nationwide studies have focused only on prevalence of malnutrition in hospitalized children, while medical nutrition therapies and assessing nutritional interventions is neglected.

Methods

This research was conducted in tertiary level children hospitals in the NorthEastern region of Iran for 1 year from 2016 to 2017. Five questions were included in the initial assessment form and, if there was even one positive response, nutritional interventions were prescribed for the patients.

Results

A total of 65 children aged ≥ 5 years and hospitalized for ≥ two days were included. 24.6% of patients had 2 >BMI Z-score>-2 at time of admission. At the beginning of the study, weight loss more than 10%, and appetite loss or decreased food intake was observed in 10.8% and 20% of the study population, respectively. Median BMI percentile of patients with nutritional intervention was 8.9 (0.1–98.7) at the beginning of the study and 12.7 (0.1–98.4) at discharge time which shows a significant difference (P=0.01).

Conclusion

Medical nutrition therapy employed in this study prevented deterioration of nutritional status of children during hospitalization and was effective in stabilizing indices of nutritional status.

Prevalence of Malnutrition in Pediatric Hospitals in Developed and In-Transition Countries: The Impact of Hospital Practices

Presently, undernutrition still goes undetected in pediatric hospitals despite its association with poor clinical outcomes and increased annual hospital costs, thus affecting both the patient and the health care system. The reported prevalence of undernutrition in pediatric patients seeking care or hospitalized varies considerably, ranging from 2.5 to 51%. This disparity is mostly due to the diversity of the origin of populations studied, methods used to detect and assess nutritional status, as well as the lack of consensus for defining pediatric undernutrition. The prevalence among inpatients is likely to be higher than that observed for the community at large, since malnourished children are likely to have a pre-existent disease or to develop medical complications. Meanwhile, growing evidence indicates that the nutritional status of sick children deteriorates during the course of hospitalization. Moreover, the absence of systematic nutritional screening in this environment may lead to an underestimation of this condition. The present review aims to critically discuss studies documenting the prevalence of malnutrition in pediatric hospitals in developed and in-transition countries and identifying hospital practices that may jeopardize the nutritional status of hospitalized children.

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.

Evaluation of malnutrition development risk in hospitalized children

OBJECTIVES

Many screening methods, such as the Screening Tool Risk on Nutritional Status and Growth (STRONGkids) and the Pediatric Yorkhill Malnutrition Score (PYMS), have been developed to detect malnutrition in pediatric patients. We aimed to explore the prevalence of malnutrition risk in hospitalized children via symptoms and identification of contributing factors, and to examine the efficacy of malnutrition screening tools for hospitalized children.

METHODS

STRONGkids and PYMS were applied to 1513 inpatients at 37 hospitals in 26 cities from different regions of Turkey. Physical measurements were collected at hospital admission and at discharge. z-Scores of height-for-age, weight-for-age, weight-for-height, and body mass index-for-age were calculated.

RESULTS

Overall, 1513 patients were included in the study. A body mass index standard deviation score of less than -2 was present in 9.5% of the study population at hospital admission, whereas 11.2% of the participants had a weight-for-length/height score of less than -2 at hospital admission. According to STRONGkids results, the proportion of the patients with an underlying chronic disease was higher for the patients at high risk of malnutrition than for the patients at medium or low risk (91% compared with 47% or 45%, respectively). PYMS results indicated that patients at high risk of malnutrition have more chronic diseases (75%) than the patients at medium or low risk of malnutrition (55% and 44%, respectively).

CONCLUSIONS

Use of anthropometric measurements in addition to screening tools to identify hospital malnutrition (such as PYMS, STRONGkids) will prevent some nutritional risk patients from being overlooked.

Evaluation of nutritional care of hospitalized children in a tertiary pediatric hospital

BACKGROUND AND AIMS

Hospitalized children are at risk of malnutrition. The aim of the present study was to evaluate a clinical practice in a tertiary hospital. The nutritional team developed a specific software for screening of malnutrition and risk of malnutrition (Evalnut) that provides also recommendations for the nutritional management of the patient. The data recorded into this program and the tool itself were analyzed and optimizations are highlighted.

METHODS

A retrospective study analyzed the data collected in 2015 during 4931 consecutive hospitalizations (3984 children) at the University Children's Hospital Queen Fabiola. Pivot tables analysis (Excel) of the database of the screening tool was compared with the clinical practice of the dietitians. First data processing excluded records with abnormal or missing values. Impact of nutritional care analysis needs at least 2 evaluations and a positive patient's height trend. In case of height equality, only length of hospital stays less than 2 weeks were kept.

RESULTS

This study highlighted inaccurate database records related to imperfections of the computer program, missing or erroneous measures and incomplete encoding. First analysis on 3219 valid hospitalizations showed statistical correlations. Prevalence of malnutrition on admission was 33%, split into 14,5% acute malnutrition, 15% chronic malnutrition and 3,5% mixed malnutrition. Overall, 30,3% of the children were categorized at risk of developing malnutrition during their stay. Positive impact of nutritional management on the resulting nutritional status was demonstrated on the second data selection (352 hospitalizations): WFH median (interquartile range) increased from 96,1% (87,1-106,4) on admission to 96,9% (89,1-106,1) (p < 0,01) on discharge. An optimization of the existing software was finally proposed.

CONCLUSION

In our hospital, the dietitians are the most aware on the importance of nutritional assessment and management during hospitalization. Encouraging results are obtained. Inclusion of a nutritional program in the medical file is useful to raise interest amongst caregivers and is particularly valuable for the nutritional follow up of the patients by the nutrition team.

Effect of Weight Extremes on Ventricular Volumes and Myocardial Strain in Repaired Tetralogy of Fallot as Measured by CMR

Pulmonary valve replacement (PVR) in patients with repaired tetralogy of Fallot (rTOF-TAP) is often based on cardiac MRI (CMR) right ventricular (RV) volumes indexed to body surface area (BSA). Weight extremes result in increased patient morbidity and affect indexed measurements. We hypothesized that patients with rTOF-TAP at extremes of weight have (1) over- or underestimated indexed volumes and (2) altered parameters of cardiac function. CMRs in patients with rTOF-TAP were retrospectively reviewed; analysis included right and left ventricular (LV) volumes and ejection fractions (EF) and peak global LV circumferential strain (ε _cc) from myocardial tagged images. Indexed volumes were recalculated using ideal BSA. Weight categories were assigned: underweight, appropriate weight, overweight, and obese. Linear regression models with weight category, spline of age, and gender were created to assess the association of weight and parameters of volume and function. When RV volumes were corrected for ideal BSA, 11 (31%) additional overweight and obese patients met published criteria for PVR and 3 (38%) underweight patients no longer met criteria. Obese and overweight patients had larger absolute LV and RV diastolic volumes, but no difference in volumes indexed to ideal BSA. Modeling demonstrated no difference in LVEF or RVEF by weight categories but significant differences in global LV ε _cc. Extremes of body weight may result in inappropriate timing of PVR. Extremes of weight lead to abnormalities in global LV ε _cc. Although clinical implications of abnormal ε _cc are unclear, these patients may be at higher risk for early ventricular dysfunction.

Nutritional Assessment and Status of Hospitalized Infants

OBJECTIVES

Malnutrition during infancy has long-term adverse consequences for both physical and psychological development. Early detection of malnutrition among hospitalized infants is essential to provide optimal nutrition support. The primary aim of the present study was to investigate the nutritional status of hospitalized infants using 2 methods: the Subjective Global Nutritional Assessment (SGNA) and anthropometric measurement. We also investigated diagnostic category associated with nutritional status, the mean anthropometric z scores, and explored the association between malnutrition and nutrition focused variables.

METHODS

Nutritional status of 110 hospitalized infants ages 31 days to 12 months was investigated using the SGNA and anthropometric measurements converted to z scores.

RESULTS

Utilizing the SGNA, 78 (70.9%) infants were classified as having normal nutritional status, 30 (27.3%) were moderately malnourished, and 2 (1.8%) were severely malnourished. The proportion of infants with acute malnutrition (weight-for-length z score <-2) was 16.4%, and chronic malnutrition (length-for-age z score <-2) was 3.6%. The mean anthropometric z scores of infants were significantly lower in infants identified as moderately and severely malnourished using the SGNA. Decrease in serial weight (odds ratio [OR] 44.4; 95% confidence interval [CI]: 4.3-451.5), having prolonged gastrointestinal symptoms (OR 18.8; 95% CI: 1.5-234.7), and reduced nutrition-related functional capacity (OR 27.6; 95% CI 2.5-301.7) were associated with malnutrition after adjusting for sex, age, and length of hospital stay.

CONCLUSIONS

Regardless of the method applied, cases of malnutrition amongst hospitalized infants were identified. The SGNA is a comprehensive approach to identifying malnutrition in hospitalized infants.

Outcome of nutritional screening in the acute paediatric setting

INTRODUCTION

Multiple nutritional risk assessment tools are available, but there are limited data on their application in the acute setting. We explored the validity of two tools in a tertiary Children's Hospital's acute unit and the cohort's nutritional status using WHO definitions.

METHODS

Prospective study n=300 (median 38 months; 44.6% female; 25.7% ≤12 months). Participants had standard anthropometry measured, all were screened using the Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP), the Paediatric Malnutrition Screening Tool (PMST) (modified STAMP) and 125 were additionally screened using the Paediatric Yorkhill Malnutrition Screening (PYMS) tool.

RESULTS

The percentages with medium/high nutritional risk were as follows: STAMP 73.1%, PMST 79.3% and PYMS 30%. Height/weight were normally distributed with: 3.4% stunted (height-for-age z-score <-2); aged ≤ 5 years, 6.8% wasted (weight-for-height z-score (WHZ) <-2), 17.9% overweight (WHZ 1-2) and 6.2% obese (WHZ >2); aged >5 years, 5.8% thin (body mass index (BMI)-z-score (BAZ) <-2), 17.3% overweight (BAZ 1-2) and 5.8% obese (BAZ >2). The tools showed poor specificity and variable sensitivities when compared with WHO malnutrition criteria, with positive predictive values of <50%. κ-Analysis also showed poor agreement between the tools and the WHO cut-offs.

CONCLUSION

These results suggest that nutritional screening tools have poor sensitivity and are difficult to interpret in the acute setting. It may be more effective to include the assessment of weight and height and nutritional intake in the context of the acute presentation as part of routine clinical assessment rather than relying on screening tools to identify those at risk.

[Nutritional assessment in hospitalized children in a Paediatric service]

INTRODUCTION

Malnutrition in hospitalized children is associated with increased morbidity and mortality.

OBJECTIVE

To determine the nutritional status in children admitted to the Hospital Clínico de la Universidad Católica de Chile.

PATIENTS AND METHOD

A retrospective, cross-sectional study was conducted on hospital patients less than 17 years old within the period from November 2010 to April 2011. A record was made of the demographic data, admission diagnosis, biochemistry results (albumin, haemoglobin, haematocrit), hospital stay, and anthropometry data. Nutritional diagnosis was expressed as standard deviation (SD) for weight-for-height (WFH) by WHO in children younger than 5 y, and body mass index (BMI) by CDC-NCHS in older children. Height-for-age (HFA) ≤-2SD indicated stunted growth.

RESULTS

A total of 365 children, including 201 boys (55.1%), were evaluated. The median age was 3.35 years (IQR: 1.2-8.2). The most frequent reason for admission was heart disease (30.4%). The median hospital stay was 2 days (IQR: 2.0-4.0). Undernutrition was observed in 3.3% of the children, 8% were nutritionally at risk, 15% were overweight, and 10.9% were obese. As regards HFA, short stature was reported in 12.9%. There was a significant relationship between lower age and heart disease, and higher age with gastrointestinal and neurological diseases. By ordinal logistic regression for each year of age, the weight/height ratio (ZP/T) increases by 6.9% (OR=1.07). The biochemistry results (albumin, haemoglobin and haematocrit levels) were not associated with nutritional status.

CONCLUSIONS

A high percentage of children at risk of undernutrition was found. The percentage overweight was similar to the general Chilean paediatric population. Early detection will allow an opportune intervention, and nutritional monitoring at discharge.

Nutritional screening in hospitalized pediatric patients: a systematic review

OBJECTIVE

This systematic review aimed to verify the available scientific evidence on the clinical performance and diagnostic accuracy of nutritional screening tools in hospitalized pediatric patients.

DATA SOURCE

A search was performed in the Medline (National Library of Medicine United States), LILACS (Latin American and Caribbean Health Sciences), PubMed (US National Library of Medicine National Institutes of Health), in the SCIELO (Scientific Electronic Library Online), through CAPES portal (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior), bases Scopus e Web of Science. The descriptors used in accordance with the Descriptors in Health Sciences (DeCS)/Medical Subject Headings (MeSH) list were "malnutrition", "screening", and "pediatrics", as well as the equivalent words in Portuguese.

SUMMARY OF THE FINDINGS

The authors identified 270 articles published between 2004 and 2014. After applying the selection criteria, 35 were analyzed in full and eight articles were included in the systematic review. We evaluated the methodological quality of the studies using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS). Five nutritional screening tools in pediatrics were identified. Among these, the Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP) showed high sensitivity, almost perfect inter-rater agreement and between the screening and the reference standard; the Screening Tool Risk on Nutritional Status and Growth (STRONGkids) showed high sensitivity, lower percentage of specificity, substantial intra-rater agreement, and ease of use in clinical practice.

CONCLUSIONS

The studies included in this systematic review showed good performance of the nutritional screening tools in pediatrics, especially STRONGkids and STAMP. The authors emphasize the need to perform for more studies in this area. Only one tool was translated and adapted to the Brazilian pediatric population, and it is essential to carry out studies of tool adaptation and validation for this population.

Equivalência semântica do Questionário Pediatric Subjective Global Nutritional Assessment para triagem nutricional em pacientes pediátricos com câncer

Objetivo: Realizar a equivalência semântica da Avaliação Nutricional Subjetiva Global Pediátrica e sua adaptação para a língua portuguesa para aplicação em pacientes pediátricos hospitalizados com câncer. Métodos: O processo de equivalência semântica envolveu as seguintes etapas: tradução, síntese das traduções, retrotradução, discussão com comitê de especialistas e pré-teste, etapas que aconteceram na Universidade Federal do Rio de Janeiro e no Instituto Nacional de Câncer José Alencar Gomes da Silva. O questionário foi pré-testado em 32 pacientes pediátricos com câncer, de 2 a 18 anos, para verificar sua adequação nessa população. Resultados: Todas as etapas fundamentaram a equivalência semântica do instrumento. Foram necessárias discretas alterações no instrumento Avaliação Nutricional Subjetiva Global Pediátrica para o contexto brasileiro. Na avaliação das 56 assertivas traduzidas para o português, 81% das respostas dos especialistas classificaram como "inalterado" o significado geral. Evidenciou-se uma boa equivalência semântica entre a tradução e a retrotradução e a versão original. Conclusão: A versão brasileira da Avaliação Nutricional Subjetiva Global Pediátrica foi bem compreendida pela população do estudo e mostrou-se adequada para seguir com as demais etapas de adaptação transcultural e validação da ferramenta para posterior aplicação na população pediátrica hospitalizada com câncer.

PREVALENCE OF MALNUTRITION IN CHILDREN WITH CHRONIC HEPATITIS B INFECTION

BACKGROUND

There have been limited studies investigating the impact of chronic hepatitis B virus infection on the growth of children.

OBJECTIVE

Our objective was to investigate the prevalence of malnutrition in children with chronic hepatitis B infection.

METHODS

The nutritional status of patients was retrospectively evaluated in the outpatient Clinic of Pediatric Gastroenterology between February and November 2014. During the study, biochemical laboratory parameters, duration of disease, liver biopsy scores, and medication were evaluated. Additionally body mass index and body mass index centiles were calculated.

RESULTS

Of the 96 patients in this study, 68 were male and 28 were female, and the mean age was 144.7±43.9 months and 146.1±47.3 months, respectively. According to body mass index centiles five (5.2%) patients were underweight, seven (7.3%) patients were overweight, and seven (7.3%) patients were obese.

CONCLUSIONS

Moderate rates of malnutrition (including obesity) were found in chronic hepatitis B infection. Additional nutritional status information of healthy and sick children should be assessed in the infection's early period, and timely interventions should be initiated.

Malnutrition in Hospitalized Pediatric Patients: Assessment, Prevalence, and Association to Adverse Outcomes

Malnutrition is a frequent finding in pediatric health care settings in the form of undernutrition or excess body weight. Its increasing prevalence and impact on overall health status, which is reflected in the adverse outcomes, renders imperative the application of commonly accepted and evidence-based practices and tools by health care providers. Nutrition risk screening on admission and nutrition status evaluation are key points during clinical management of hospitalized pediatric patients, in order to prevent health deterioration that can lead to serious complications and growth consequences. In addition, anthropometric data based on commonly accepted universal growth standards can give accurate results for nutrition status. Both nutrition risk screening and nutrition status assessment are techniques that should be routinely implemented, based on commonly accepted growth standards and methodology, and linked to clinical outcomes. The aim of the present review was to address the issue of hospital malnutrition in pediatric settings in terms of prevalence, outline nutrition status evaluation and nutrition screening process using different criteria and available tools, and present its relationship with outcome measures. Key teaching points • Malnutrition-underweight or excess body weight-is a frequent imbalance in pediatric settings that affects physical growth and results in undesirable clinical outcomes. • Anthropometry interpretation through growth charts and nutrition screening are cornerstones for the assessment of malnutrition.To date no commonly accepted anthropometric criteria or nutrition screening tools are used in hospitalized pediatric patients. • Commonly accepted nutrition status and screening processes based on the World Health Organization's growth standards can contribute to the overall hospital nutrition care of pediatric patients.

Accuracy of Nutritional Screening Tools in Assessing the Risk of Undernutrition in Hospitalized Children

OBJECTIVE

The aim of the present study was to evaluate the predictive accuracy of screening tools for assessing nutritional risk in hospitalized children in developed countries.

METHODS

The study involved a systematic review of literature (MEDLINE, EMBASE, and Cochrane Central databases up to January 17, 2014) of studies on the diagnostic performance of pediatric nutritional screening tools. Methodological quality was assessed using a modified QUADAS tool. Sensitivity and specificity were calculated for each screening tool per validation method. A meta-analysis was performed to estimate the risk ratio of different screening result categories of being truly at nutritional risk.

RESULTS

A total of 11 studies were included on ≥1 of the following screening tools: Pediatric Nutritional Risk Score, Screening Tool for the Assessment of Malnutrition in Paediatrics, Paediatric Yorkhill Malnutrition Score, and Screening Tool for Risk on Nutritional Status and Growth. Because of variation in reference standards, a direct comparison of the predictive accuracy of the screening tools was not possible. A meta-analysis was performed on 1629 children from 7 different studies. The risk ratio of being truly at nutritional risk was 0.349 (95% confidence interval [CI] 0.16-0.78) for children in the low versus moderate screening category and 0.292 (95% CI 0.19-0.44) in the moderate versus high screening category.

CONCLUSIONS

There is insufficient evidence to choose 1 nutritional screening tool over another based on their predictive accuracy. The estimated risk of being at "true nutritional risk" increases with each category of screening test result. Each screening category should be linked to a specific course of action, although further research is needed.

Methods to evaluate the nutrition risk in hospitalized patients

The rate of malnutrition is substantially high both in the population and in chronic patients hospitalized because of different reasons. The rate of patients with no marked malnutrition at the time of hospitalization who develop malnutrition during hospitalization is also substantially high. Therefore, there are currently different screening methods with different targets to prevent malnutrition and its overlook. These methods should be simple and reliable and should not be time-consuming in order to be used in daily practice. Seven nutrition risk screening methods used in children have been established until the present time. However, no consensus has been made on any method as in adults. It should be accepted that interrogation of nutrition is a part of normal examination to increase awareness on this issue and to draw attention to this issue.

The Prevalence of Malnutrition and Effectiveness of STRONGkids Tool in the Identification of Malnutrition Risks among Pediatric Surgical Patients

BACKGROUND

High prevalence of malnutrition along with the risk for the development of malnutrition in hospitalised children has been reported. However, this problem remains largely unrecognised by healthcare workers.

AIMS

To determine the prevalence of malnutrition and effectiveness of STRONGkids nutritional risk screening (NRS) tool in the identification of malnutrition risk among pediatric surgical patients.

STUDY DESIGN

Cross-sectional study.

METHODS

A total of 494 pediatric surgical patients (median age 59 months, 75.8% males) were included in this prospective study conducted over 3 months. SD-scores <-2 for Body Mass Index (BMI) for age or weight-for-height (WFH) and height-for-age (HFA) were considered to indicate acute and chronic malnutrition, respectively. The STRONGkids NRS tool was used to determine risk for malnutrition.

RESULTS

Malnutrition was detected in 13.4% in this group of pediatric surgical patients. Acute malnutrition was identified in 10.1% of patients and more commonly in patients aged ≤60 months than aged >60 months (13.4 vs. 6.6%, p=0.012). Chronic malnutrition was identified in 23 (4.6%) of patients with no significant difference between age groups. There were 7 (1.4%) children with coexistent acute and chronic malnutrition. The STRONGkids tool revealed that 35.7% of patients were either in the moderate or high risk group for malnutrition. Malnutrition, as revealed by anthropometric measurements, was more likely in the presence of gastrointestinal (26.9%, p=0.004) and inguinoscrotal/penile surgery (4.0%, p=0.031), co-morbidities affecting nutritional status (p<0.001) and inpatient admissions (p=0.014). Among patients categorized as low risk for malnutrition, there were more outpatients than inpatients (89.3 vs. 10.7%, p<0.001) and more elective surgery cases than emergency surgery cases (93.4 vs. 6.6%, p<0.001).

CONCLUSION

Providing data on the prevalence of malnutrition and risk of malnutrition in a prospectively recruited group of hospitalised pediatric surgical patients, the data acquired in the present study emphasise the need to raise clinician's awareness about the importance of nutritional status assessment among hospitalised pediatric patients and the benefits of identifying patients at the risk of nutritional depletion before malnutrition occurs. Our findings support the use of the STRONGkids tool among pediatric surgical patients to identify patients at risk for malnutrition and to increase the physician's awareness of nutritional assessment among hospitalised patients upon admission.