Hospital-related undernutrition in children: still an often unrecognized and undertreated problem

Survey of nutrition screening practices in pediatric hospitals across the United States

BACKGROUND

Nutrition screening on admission is critically important to systematically identify patients with undernutrition given the known relationship with deleterious clinical outcomes. Limited data exist regarding optimal processes and criteria for pediatric nutrition screening. Therefore, we sought to characterize nutrition screening practices in pediatric hospitals.

METHODS

A total of 365 inpatient pediatric hospitals in the United States were identified, eligible, and contacted. Eligible hospitals included general pediatric hospitals, adult hospitals with pediatric units, and specialty pediatric hospitals. One respondent at each eligible hospital was asked to complete a 33-question survey of admission nutrition screening practices.

RESULTS

Of 268 survey respondents, 37% represented pediatric units in adult hospitals, 35% general pediatric hospitals, and 28% pediatric specialty or psychiatric hospitals. A total of 98.5% endorsed the existence of a screening process on admission. Anthropometrics (eg, body mass index z score, 84%) and nutrition status (eg, change in intake, 67%) were the most common screening criteria applied. A nutrition screening instrument was used in 37% of institutions, and only 31% of institutions reported using pediatric-specific screening instruments. Pediatric units within adult hospitals were 1.38 times more likely to use a screening instrument validated in any population. Barriers to nutrition screening included the lack of a standard screening procedure and insufficient staff to conduct screening. Fifty-four percent of respondents reported a desire to change their hospital's nutrition screening process.

CONCLUSION

Most pediatric hospitals screen for nutrition risk on admission. However, methods and criteria varied widely across pediatric hospitals, highlighting the importance of standardized best practices.

Post-discharge complications and hospital readmissions are associated with nutritional risk and malnutrition status in a cohort of Canadian pediatric patients

BACKGROUND

This study constitutes a secondary analysis of a prospective cohort aiming to evaluate the potential correlation between nutritional risk and status at admission with the occurrence of post-discharge complications and hospital readmissions in children receiving care at high resource Centres.

METHODS

Data was collected from 5 Canadian tertiary pediatric Centers between 2012 and 2016. Nutritional risk and status were evaluated at hospital admission with validated tools (STRONGkids and Subjective Global Nutrition Assessment [SGNA]) and anthropometric measurements. Thirty days after discharge, occurrence of post-discharge complications and hospital readmission were documented.

RESULTS

A total of 360 participants were included in the study (median age, 6.1 years; median length of stay, 5 days). Following discharge, 24.1% experienced complications and 19.5% were readmitted to the hospital. The odds of experiencing complications were nearly tripled for participants with a high nutritional risk compared to a low risk (OR = 2.85; 95% CI [1.08-7.54]; P = 0.035) and those whose caregivers reported having a poor compared to a good appetite (OR = 2.96; 95% CI [1.59-5.50]; P < 0.001). According to SGNA, patients identified as malnourished had significantly higher odds of complications (OR, 1.92; 95% CI, 1.15-3.20; P = 0.013) and hospital readmission (OR, 1.95; 95% CI, 1.12-3.39; P = 0.017) than to those well-nourished.

CONCLUSIONS

This study showed that complications and readmission post-discharge are common, and these are more likely to occur in malnourished children compared to their well-nourished counterparts. Enhancing nutritional care during admission, at discharge and in the community may be an area for future outcome optimization.

Improving anthropometric measurements in hospitalized children: A quality-improvement project

BACKGROUND

The objective of this quality-improvement project was to increase documentation rates of anthropometrics (measured weight, length/height, and body mass index [BMI], which are critical to identify patients at malnutrition (undernutrition) risk) from <50% to 80% within 24 hours of hospital admission for pediatric patients.

METHODS

Multidisciplinary champion teams on surgical, cardiac, and intensive care (ICU) pilot units were established to identify and iteratively test interventions addressing barriers to documentation from May 2016 to June 2018. Percentage of patients with documented anthropometrics <24 h of admission was assessed monthly by statistical process control methodology. Percentage of patients at malnutrition (undernutrition) risk by anthropometrics was compared by χ2 for 4 months before and after intervention.

RESULTS

Anthropometric documentation rates significantly increased (P < 0.001 for all): BMI, from 11% to 89% (surgical), 33% to 57% (cardiac), and 16% to 51% (ICU); measured weight, from 24% to 88% (surgical), 69% to 83% (cardiac), and 51% to 67% (ICU); and length/height, from 12% to 89% (surgical), 38% to 57% (cardiac), and 26% to 63% (ICU). Improvement hospital-wide was observed (BMI, 42% to 70%, P < 0.001) with formal dissemination tactics. For pilot units, moderate/severe malnutrition (undernutrition) rates tripled (1.2% [24 of 2081] to 3.4% [81 of 2374], P < 0.001).

CONCLUSION

Documentation of anthropometrics on admission substantially improved after establishing multidisciplinary champion teams. Goal rate (80%) was achieved within 26 months for all anthropometrics in the surgical unit and for weight in the cardiac unit. Improved documentation rates led to significant increase in identification of patients at malnutrition (undernutrition) risk.

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.

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.

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.

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.

Identifying pediatric malnutrition using STRONGkids: A quality improvement initiative

ABSTRACT

Pediatric malnutrition can impact a patient's length of hospital stay, rates of infection and complications, cognitive development, and overall quality of life. This article compares nutritional screening tools to determine their efficiency and reliability in identifying patients with increased malnutrition risk at the time of hospital admission.

Can calf circumference be a viable option for nutritional assessment in the PICU?

BACKGROUND

Children admitted to paediatric intensive care units (PICUs) often need specialised nutritional intervention. Nutritional assessments provide specific data to support such interventions. Body composition measures, such as mid-upper arm circumference (MUAC), can complement nutritional assessment. However, MUAC has limitations. Calf circumference (CC) is an easy and common measure of muscle loss in the elderly; however, there are still very few studies on CC in children.

AIMS

To evaluate the viability of using CC for nutritional monitoring of children under intensive care, compared with MUAC and weight.

METHODS

Patients aged 2-10 years admitted to the PICU between December 2018 and August 2019 were included in the study. Two MUAC, CC, and weight measurements were performed: one in the first 24 h after PICU admission and another after 7 days. As there are no reference values for CC in children, this measure was used solely to observe the patient's individual progress. The nutritional status, both according to body mass index and MUAC, was used to characterise samples. Percentage changes in these measures were compared using the Wilcoxon signed-rank test for comparison between medians and Spearman's correlation test. Information from medical records regarding hospitalisation was also collected and analysed.

RESULTS

Thirty patients were included in the study. During hospitalisation week 1, CC decreased significantly (p = 0.001), whereas MUAC (p = 0.427) and weight (p = 0.315) did not change significantly. Percentage changes in CC and MUAC were statistically different (p = 0.0449), with a positive correlation between the changes in both measures (p = 0.0333; r = 0.3896); conversely, although the percentage changes in CC and weight significantly differed (p = 0.0066), no correlation was found between them (p = 0.9382; r = 0.0148). The percentage changes in MUAC and weight were not different (p = 0.1880) or correlated (p = 0.1691; r = 0.2577). No statistically significant relationship was found between percentage changes in CC and clinical outcomes (length of stay, fasting time, and mechanical ventilation time).

CONCLUSIONS

CC appears to be a viable measure for use in PICUs. Although positively correlated with MUAC, a measure proven useful in critically ill children, CC decreased significantly in the first week of intensive care, whereas MUAC remained unchanged, indicating that CC may show signs of depletion earlier than MUAC in these patients. Our study reinforces the importance of alternative measures for anthropometric assessment of critically ill children.

Canadian Nationwide Survey on Pediatric Malnutrition Management in Tertiary Hospitals

Background: Disease-associated malnutrition (DAM) is common in hospitalized children. This survey aimed to assess current in-hospital practices for clinical care of pediatric DAM in Canada. Methods: An electronic survey was sent to all 15 tertiary pediatric hospitals in Canada and addressed all pillars of malnutrition care: screening, assessment, treatment, monitoring and follow-up. Results: Responses of 120 health care professionals were used from all 15 hospitals; 57.5% were medical doctors (MDs), 26.7% registered dietitians (RDs) and 15.8% nurses (RNs). An overarching protocol for prevention, detection and intervention of pediatric malnutrition was present or “a work in progress”, according to 9.6% of respondents. Routine nutritional screening on admission was sometimes or always performed, according to 58.8%, although the modality differed among hospitals and profession. For children with poor nutritional status, lack of nutritional follow-up after discharge was reported by 48.5%. Conclusions: The presence of a standardized protocol for the clinical assessment and management of DAM is uncommon in pediatric tertiary care hospitals in Canada. Routine nutritional screening upon admission has not been widely adopted. Moreover, ongoing nutritional care of malnourished children after discharge seems cumbersome. These findings call for the adoption and implementation of a uniform clinical care pathway for malnutrition among pediatric hospitals.

Case Report: Energy- and Nutrient-Dense Formula for Growth Faltering: A Report of Two Cases From India

Infants hospitalized for critical illnesses are at a high risk of undernutrition because of increased nutrient requirements (due to increased metabolism) and decreased nutrient intake (due to disease-related problems such as anorexia or feeding difficulties). This can result in a slowing down of their normal growth, referred to as “growth faltering.” Appropriate nutritional management of these infants is extremely important to avoid long-term adverse outcomes. Administration of energy- and nutrient-dense formula (ENDF; 100 kcal energy and 2.6 g protein per 100 mL, with added micronutrients) can be an effective means of increasing the nutrient and energy intake of these children. Despite the high prevalence of undernutrition and growth faltering among pediatric patients in India, there is a paucity of literature on the use of ENDF in Indian infants. Herein, we report the successful use of ENDF for the nutritional management of two infants hospitalized for growth faltering because of severe upper airway obstruction. The aim of nutritional management was to achieve satisfactory weight gain, which can lead to spontaneous resolution of upper airway obstruction. ENDF was initially administered to provide 50–100 kcal/kg/day, and the dose was gradually increased to 160–185 kcal/kg/day. Both infants tolerated the formula well and showed satisfactory weight gain. These cases clearly demonstrate that early administration of ENDF is an effective means of increasing nutrient and energy intake of critically ill infants, thereby facilitating catchup growth, without any notable adverse effects.

Use of standardized body composition measurements and malnutrition screening tools to detect malnutrition risk and predict clinical outcomes in children with chronic conditions

BACKGROUND

Better tools are needed to diagnose and identify children at risk of clinical malnutrition.

OBJECTIVES

We aimed to compare body composition (BC) and malnutrition screening tools (MSTs) for detecting malnutrition on admission; and examine their ability to predict adverse clinical outcomes [increased length of stay (LOS) and complications] in complex pediatric patients.

METHODS

This was a prospective study in children 5-18 y old admitted to a tertiary pediatric hospital (n = 152). MSTs [Pediatric Yorkhill Malnutrition Score (PYMS), Screening Tool for the Assessment of Malnutrition in Pediatrics (STAMP), and Screening Tool for Risk of Impaired Nutritional Status and Growth (STRONGkids)] were completed on admission. Weight, height, and BC [fat mass (FM) and lean mass (LM) by DXA] were measured (n = 118). Anthropometry/BC and MSTs were compared with each other and with clinical outcomes.

RESULTS

Subjects were significantly shorter with low LM compared to reference data. Depending on the diagnostic criteria used, 3%-17% were classified as malnourished. Agreement between BC/anthropometric parameters and MSTs was poor. STAMP and STRONGkids identified children with low weight, LM, and height. PYMS, and to a lesser degree STRONGkids, identified children with increased LOS, as did LM compared with weight or height. Patients with complications had lower mean ± SD LM SD scores (-1.38 ± 1.03 compared with -0.74 ± 1.40, P < 0.05). In multivariable models, PYMS high risk and low LM were independent predictors of increased LOS (OR: 3.76; 95% CI: 1.36, 10.35 and OR: 3.69; 95% CI: 1.24, 10.98, respectively). BMI did not predict increased LOS or complications.

CONCLUSIONS

LM appears better than weight and height for predicting adverse clinical outcomes in this population. BMI was a poor diagnostic parameter. MSTs performed differently in associations to BC/anthropometry and clinical outcomes. PYMS and LM provided complementary information regarding LOS. Studies on specific patient populations may further clarify the use of these tools and measurements.

Validity and reliability analysis of the Turkish version of pediatric nutritional risk score scale

BACKGROUND/AIMS

We aimed to perform the validity and reliability analysis of the Turkish version of the Pediatric Nutritional Risk Score (PNRS).

MATERIALS AND METHODS

The study group consisted of 149 patients aged between 1 month and 18 years who were admitted to the hospital for at least 48 h. The patients' age, gender, anthropometric measurements, length of stay, admission diagnosis, daily body weights, food consumption, and pain status were recorded. Backward and forward translations into Turkish were done. PNRS was performed by two different physicians. The consistency of the PNRS results was evaluated to determine the validity of PNRS. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated.

RESULTS

Of all patients, 69 (46.3%) were female and 80 (53.7%) were male. The mean length of the stay was 7.3±4.0 days. The mean age of the patients was 51.9±63.6 months. The Kappa coefficient between the two physicians was 0.66. Weight loss was observed in 65.2% of the patients in the high-risk group and 25.4% in the low-risk group. The hospital malnutrition rate was 31.5%. A higher risk was identified in those with <50% food intake and more severe disease. The specificity, sensitivity, NPV, and PPV of PNRS were 82.1%, 77.8%, 92.0%, and 58.3%, respectively.

CONCLUSION

A good consistency suggests that the Turkish validation was achieved successfully. The power of PNRS to discriminate the patients with moderate-low risk of developing malnutrition is higher than the patients with high risk. PNRS is considered a valid and reliable tool to establish the risk of malnutrition in the hospitalized patients.

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.

Undernutrition in childhood: Clinically based assessment tools and biological markers: Where are we and where should we go?

Despite its association with poor clinical outcomes and increased hospital costs, as of today undernutrition still goes undetected in paediatric hospitals. The reported prevalence of undernutrition in paediatric patients varies considerably. This disparity is partly due to the diversity of methods for its detection and assessment, as well as to the lack of consensus regarding its definition. Several methods, based on varied combinations of morphology characteristics, estimated nutritional intakes and medical conditions have been developed during the last 25 years. However, these tools suffer from poor sensitivity and selectivity particularly in acute conditions. Also while having their own merit, these tools mainly view malnutrition from the energy standpoint, disregarding assessment of specific micronutrients such as minerals and vitamins. In this position paper we make the point that in the era of personalized medicine, present technology offers the possibility of going beyond the traditional nutritional tools for assessing patients' status, and propose the measurement of selected micronutrients and allied metabolic markers in nutritional workup schemes adapted to each clinical condition.

Nutritional red flags in children with cerebral palsy

BACKGROUND & AIMS

Children with cerebral palsy (CP) are at risk for under-nutrition. The European Society for Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) guidelines identified anthropometric nutritional red flags for neurologically impaired children: weight for age z-score (WFA) < -2, triceps skinfold (TSF) or arm muscle area (AMA) < 10th centile and faltering weight. This study aimed to (1) evaluate the nutritional status of Flemish children and adolescents with CP using different anthropometric indicators; (2) assess the prevalence of nutritional red flags and (3) identify risk factors for low anthropometric parameters.

METHODS

This study was a prospective, longitudinal observational study recruiting children and adolescents with CP (2-20 years) in 9 specialized Flemish centres. Measurements were performed at baseline (t₁, n = 325), after 6 (t₂, total n = 268) and 12 months (t₃, total n = 191). WFA z-scores were based on Flemish growth charts; TSF, subscapular skinfolds (SSF) and AMA compared with US reference data. Weight faltering was defined as ≥0.5 decrease in weight SDS at t₂ or t₃.

RESULTS

At t₁ 50 patients (15.4%) were classified as gross motor function classification system (GMFCS) 1, 95 (29.2%) as GMFCS 2, 49 (15.1%) as GMFCS 3, 54 (16.6%) as GMFCS 4, and 77 (23.7%) as GMFCS 5. The overall median (Q1; Q3) age was 11.7 (8.2; 15.9) years; 61.5% were boys and 22 (6.8%) had a gastrostomy (17 (22.1%) of GMFCS 5 group). The median (Q1; Q3) WFA z-score was -1.13 (-2.6; -0.1); 71.4% of the GMFCS 5 children had a WFA z-score < -2. The median (Q1; Q3) MUAC z-score was 0.17 (-0.7; 1.0); 16.9% of the GFMCS 5 children had MUAC z-score < -2. Median (Q1; Q3) TSF and SSF z-scores were respectively -0.01 (-0.8; 0.9) and 0.27 (-0.3; 0.9). All anthropometric indices tended to decrease with increasing GMFCS (p < 0.001). At t₁ 42.1% had at least one nutritional red flag, at t₂ 40.3% and at t₃ 41.4%. Of those with at least one nutritional red flag at t₁ or t₂, respectively 14.7% and 18.8% suffered weight loss 6 months later. A GMFCS >2 and dysphagia were associated with a higher risk for lower scores of nearly all nutritional indices.

CONCLUSIONS

Underweight was detected in almost three quarters of CP patients with GMFCS 5 classification, whereas deficits in subcutaneous fat and arm muscle reserve were observed in one fifth. Nutritional red flags, present in about 40% of the Flemish CP children, were apparently not successfully addressed in clinical practice, since up to one-fifth of CP patients with warning signs lost even further weight in the following 6 months. Beside a GMFCS >2, dysphagia was one of the most common conditions influencing the presence of low nutritional indices.

Assessment of Malnutrition Risk in Canadian Pediatric Hospitals: A Multicenter Prospective Cohort Study

OBJECTIVE

To assess the prevalence, causes, and consequences of malnutrition, as well as the evolution of nutritional status, in Canadian pediatric health care institutions.

STUDY DESIGN

In this multicenter prospective cohort study, a total of 371 patients were recruited from pediatric hospitals in 5 Canadian provinces. Subjects were aged 1 month to 18 years; admitted to a medical, surgical, or oncology ward; and had a planned hospital stay of >48 hours. Data on demographics, medical condition, anthropometric measures, and dietary intake were collected. The Screening Tool Risk on Nutritional Status and Growth (STRONG_kids) and Subjective Global Nutritional Assessment (SGNA) were applied at admission. Malnutrition was defined as a weight-for-age, height-for-age, body mass index-for-age, or weight-for-length/height z score <-2 SD.

RESULTS

Among 307 subjects (median age, 5.3 years; median length of stay, 5 days), 19.5% were malnourished on admission. Both STRONG_kids and SGNA classifications were associated with baseline nutritional status. Mean weight-for-age z score was lower at discharge compared with admission (-0.14 vs -0.09; P < .01), and nearly one-half of all patients lost weight during their hospital stay. Only one-half of the children who were malnourished or screened as high risk of malnutrition were visited by a dietitian during their stay. The percentage of patients who lost weight during hospitalization was significantly greater in the group not visited by a dietitian (76.5 vs 23.5%; P < .01).

CONCLUSION

Nutritional status deterioration and malnutrition are common in hospitalized Canadian children. Screening tools, anthropometric measurements, and dietitian consultation should be used to establish adequate nutritional support.

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.

Screening tools for paediatric malnutrition: are we there yet?

PURPOSE OF REVIEW

The development of nutritional screening tools has done much to raise the profile of nutrition and encourage healthcare practitioners to consider how to identify children at nutritional risk. However, the next challenge is to ensure nutritional screening accurately identifies those who have immediate and ongoing risk and therefore the potential to impact on it.

RECENT FINDINGS

In this article, we review recent evidence which suggests that the large-scale use of these tools outside of a research setting is not always helpful. Most are highly sensitive but not particularly specific and therefore cases may be 'overdiagnosed' but also missed. It may therefore be time for nutritional screening to evolve into a process which is able to better consider the cause of risk and requirements for nutrition support with referral criteria, defined goals and outcome measures and exit criteria using a 'measure, plot, think, act' approach embedded into physician rounds. Key challenges relate to improving compliance around nutritional screening within the hospital setting and comparison of nutrition risk between centres, as well as an understanding of the barriers which prevent nutritional screening and assessment from occurring.

SUMMARY

It remains to be elucidated as to whether returning to a process which embeds nutritional assessment within the medical review rather than relying on a 'nutrition score' from a screening tool is a more effective way in which to identifying those patients that are malnourished or at risk of malnutrition during their hospital stay.

The prevalence of undernutrition upon hospitalization in children in a developing country: A single hospital study from Malaysia

BACKGROUND

Undernourished children who require hospital care have a longer duration of hospitalization and respond poorly to modern medical therapy. The objective of the present study was to ascertain the nutritional status of children admitted to a pediatric tertiary center in Malaysia and the risk factors leading to undernutrition upon admission.

METHODS

In this cross-sectional, hospital-based study, anthropometric measurements [weight, length/height, mid-upper arm circumference (MUAC), triceps skinfold thickness were performed in 285 children aged from 3 months to 15 years who were admitted to University Malaya Medical Centre, Kuala Lumpur in November 2013. Acute (wasting) and chronic (stunting) undernutrition were defined as weight-for-height (WFH) and height-for-age (HFA) < -2 standard deviation (S.D.), respectively. Underweight was defined as weight-for-age < -2 S.D. For children aged between 1 and 5 years of age, World Health Organization definition for acute undernutrition (HFA < -2 S.D. and/or MUAC < 12.5 cm) was also noted.

RESULTS

Upon admission, the prevalence rates of acute and chronic undernutrition were 11% (n = 32) and 14% (n = 41), respectively. In addition, 7% (n = 21) had an MUAC of < 12.5 cm, 15% had body-mass index < -2 S.D., and 7% (n = 21) had triceps skinfold thickness < -2 S.D., while 17% (n = 47) were underweight. Using the World Health Organization definition of acute undernutrition, an additional eight patients were noted to have acute undernutrition (n = 40, 14%). No significant risk factors associated with undernutrition were identified.

CONCLUSION

The prevalence of undernutrition among children admitted to a tertiary hospital in Malaysia was 14%. Strategies for systematic screening and provision of nutritional support in children at risk of undernutrition as well as treatment of undernutrition in children requiring hospitalization are needed.

Proposal for An Algorithm for Screening for Undernutrition in Hospitalized Children

The prevalence of disease-related undernutrition in hospitalized children has not decreased significantly in the last decades in Europe. A recent large multicentric European study reported a percentage of underweight children ranging across countries from 4.0% to 9.3%. Nutritional screening has been put forward as a strategy to detect and prevent undernutrition in hospitalized children. It allows timely implementation of adequate nutritional support and prevents further nutritional deterioration of hospitalized children. In this article, a hands-on practical guideline for the implementation of a nutritional care program in hospitalized children is provided. The difference between nutritional status (anthropometry with or without additional technical investigations) at admission and nutritional risk (the risk of the need for a nutritional intervention or the risk for nutritional deterioration during hospital stay) is the focus of this article. Based on the quality control circle principle of Deming, a nutritional care algorithm, with detailed instructions specific for the pediatric population was developed and implementation in daily practice is proposed. Further research is required to prove the applicability and the merit of this algorithm. It can, however, serve as a basis to provide European or even wider guidelines.

Prevalence of malnutrition in hospitalised children: retrospective study in a Spanish tertiary-level hospital

OBJECTIVE

To analyse the prevalence of malnutrition among paediatric patients at the time of hospital admission throughout a calendar year in a tertiary-level hospital and to identify those patients and/or groups of pathologies with a higher risk of malnutrition.

DESIGN

Observational (retrospective evaluation of nutrition status).

SETTING

Navarra Hospital Complex, Pamplona, Spain.

PARTICIPANTS

A total of 852 patients hospitalised in 2013 in a Spanish tertiary-level paediatric hospital (462 males and 390 females).

MAIN OUTCOME MEASURES

Sex, age, body mass index at the moment of admission and days of hospitalisation and diagnosis codified according to the International Classification of Diseases were registered.

RESULTS

The prevalence of malnutrition patients registered at the moment of admission was 8.2%. Diseases of the nervous system (22.9%), together with diseases of the respiratory system (22.9%), infectious diseases (18.6%), congenital malformations (11.4%) and diseases of the genitourinary system (8.6%) account for 84.4% of the cases with malnutrition.

CONCLUSIONS

The overall prevalence rate for malnutrition in paediatric patients at the moment of admission in our hospital was 8.2%, being a figure similar to those published in occidental countries. It should be mandatory to accomplish an initial screening and follow-up during hospitalisation of younger patients and those suffering from diseases of the nervous and/or respiratory system and, especially, from congenital diseases.

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.

More training and awareness are needed to improve the recognition of undernutrition in hospitalised children

AIM

Reports suggest that 10% of hospitalised children in Europe are undernourished. We investigated whether nutritional screening tools (NST) were used in Belgian secondary-level hospitals, examined strategies for detecting undernutrition and identified barriers preventing the systematic management of undernutrition.

METHODS

A nationwide questionnaire-based survey of paediatric departments in Belgian secondary-level hospitals was carried out from September 2013 to February 2014. Respondents were dived into French-speaking (Walloon + Brussels) and Dutch-speaking (Flemish) departments.

RESULTS

We received replies from 71 of the 97 (73.2%) departments. Half of the departments - 39.5% Flemish speaking and 71.4% Walloon speaking - carried out nutritional screening. Undernutrition was identified by measuring weight and length or height (92.7% of cases), clinical appraisal (74.7%), mid-upper arm circumference and/or skin fold thickness (19.7%). There was no protocol for undernutrition in many Flemish (60.5%)- and Walloon (28.6%)-speaking departments. Reasons given for not screening were as follows: lack of training (46.9%), ignorance of NST (42.2%) and lack of time (29.7%).

CONCLUSION

Half of the paediatric departments in Belgian secondary-level hospitals did not carry out nutritional screening, and differences in current practices and attitudes may be due to cultural and/or educational differences.

Back to basics: an audit of measurement of infant growth at presentation to hospital

Objectives Infants who present or are admitted to hospital with illness or with inadequate growth and development are those most at risk of decreased nutritional status. However, not all infants who present or are admitted to hospital have their growth assessed. The aim of the present study was to identify how frequently anthropometric measurements were documented in charts of infants presenting and/or admitted to a tertiary paediatric hospital. Methods A systematic random sample of hospital charts of infants who had presented to the emergency department between 1 July 2011 and 30 June 2012 was audited retrospectively for the presence of appropriate documentation of measurement. Results In all, 465 charts were audited, representing 10% of infants who presented to the emergency department in the year. The frequency of anthropometric measures was: birthweight 103 (22%), presentation weight 275 (59%), length 8 (2%), head circumference 15 (3%), percentiles 27 (6%) and body mass index score 1 (0%). Age of the infant was significantly associated with recording of birthweight. There were no significant relationships found between gender, socioeconomic status, gestational age, delivery type and recording of diagnosis and birthweight. Conclusions Infant measurements were not recorded on many occasions. Assessment of growth as a marker of illness or nutritional deficit has been poorly assessed in this group. This is a missed opportunity to assess infant growth in this population, which has been found to be at risk of decreased nutritional status. Identification and treatment of growth deficits are a cost-effective method of optimising infant health worldwide. What is known about this topic? Infants who present or are admitted to hospital with illness or with inadequate growth and development are those most at risk of decreased nutritional status. What does this paper add? Not all infants who present or are admitted to hospital have their growth assessed. What are the implications for practitioners? It is important in a paediatric setting to identify who is responsible for measuring and recording infant growth. Measurement of weight, height and head circumference is a basic, low-cost method of measuring infant growth in the hospital setting.

Prevalence of malnutrition at the time of admission among patients admitted to a Canadian tertiary-care paediatric hospital

BACKGROUND

Malnutrition among hospitalized children is known to negatively influence their response to therapy and to prolong their admission. It also has short- and long-term consequences for growth, development and well-being. It is commonly regarded as a condition affecting children in low-income countries; however, malnutrition has been found to be variably prevalent among hospitalized children in higher-income countries. At the time the present study was conducted, it had been >30 years since the nutritional status of Canadian hospitalized children was last published.

OBJECTIVES

To determine and communicate the prevalence of malnutrition among children in a Canadian tertiary-care paediatric hospital at the time of their admission.

METHODS

In the present cross-sectional study, anthropometric measures were obtained from 322 children admitted to The Hospital for Sick Children in Toronto, Ontario. Nutritional indexes (BMI for age, weight for age, weight for length/height and length/height for age) were generated from anthropometric measures using the WHO igrowup software, and summarized according to WHO definitions.

RESULTS

The overall prevalence of malnutrition using BMI for age was 39.6% (95% CI 33% to 46%), of which 8.8% and 30.8% of participants were under- and overnourished, respectively. Furthermore, 6.9% (95% CI 3% to 13%) were determined to be acutely malnourished (weight for length/height <-2 SD) and 13.4% (95% CI 10% to 18%) chronically malnourished (length/height for age <-2 SD).

CONCLUSION

The high prevalence of overall malnutrition observed among study participants suggests that initial screening using simple anthropometric measures should be conducted on hospital admission so that patients can receive appropriate nutrition-specific care.

Nutritional status of children hospitalized for parapneumonic effusion

Background & Aims

Among children hospitalized for pneumonia, those with parapneumonic effusion (PPE) are at particular risk for nutritional deterioration. This study aimed to 1) investigate the evolution of the nutritional status during hospitalization and at outpatient follow-up; 2) determine clinical risk factors for weight loss during hospitalization; 3) describe the nutritional interventions for these children.

Methods

Retrospective chart review (January ‘07 - September ‘12) of 56 children with pneumonia, complicated by PPE in two Belgian hospitals for data on body weight and height at admission (t₀) and discharge (t₁), and two weeks (t₂) and one month (t₃) after discharge. Length of hospitalization (LoS), length of stay in paediatric intensive care (LoS_PICU) and maximal in-hospital weight loss (t_max) were calculated and nutritional interventions were recorded.

Results

The median (range) age was 3.5 (1.0–14.8) years. Weight or height was lacking in five (8.9%) children at t₀ and in 28 (50%) at t₁; 21.4% was weighed only once during hospitalization. At t_max, respectively 17/44 and 5/44 children lost ≥5% and ≥10% of their weight. Median (range) LoS and LoS_PICU were 18.0 (10–41) and 4.0 (0–23) days. One-fourth received a nutritional intervention. Weight for height at admission (WFH(t₀)) significantly predicted maximal weight loss (β (95% CI) = −0.34 (−2.0–−0.1); p = 0.03). At t₂ and t₃, 13/32 and 5/22 of the children with available follow-up data did not reach WFH(t₀), whilst in 4/35 and 5/26 body weight remained ≥5% under the weight(t₀).

Conclusions

One-third of children with pneumonia complicated by PPE and monitored for weight and height, lost ≥5% of their body weight during hospitalization. One-fourth did not reach initial WFH one month after discharge. Those with a higher WFH at admission were at higher risk of weight loss. More attention for monitoring of weight loss and the nutritional policy during and after hospitalization is warranted.