Nutritional risk screening of hospitalized children aged &lt; 3 years

Shaaban, Sanaa Youssef; Nassar, May Fouad; Gendy, Yasmin Gamal El; El-Shaer, Bassam

doi:10.26719/emhj.18.019

Cited by 13 publications

(15 citation statements)

References 18 publications

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“…Fever, burns, ascites or fluid loss can alter the balance between calorie consumption and requirement, which contributes to HAM (Mehta et al, 2013;Shaaban, Nassar & El-Gendy, 2018). In our study, half of the patients with HAM had some kind of gastrointestinal loss although this finding was not statistically significant.…”

Section: Discussioncontrasting

confidence: 67%

Risk factors of hospital-acquired malnutrition in children: A study in a rural hospital of West Borneo, Indonesia

Prasetya¹,

Haryanti²,

Nurani³

2021

Mal J Nutr

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Introduction: Hospital-acquired malnutrition (HAM) is prevalent among hospitalised children in developing countries. This condition relates to worse clinical outcomes, prolongs length of stay in hospitals, and increases mortality. A multidisciplinary approach should be performed to prevent and manage this problem. However, HAM is often underdiagnosed, especially in rural hospitals with limited human resources. This study aims to delineate the risk factors of HAM among hospitalised children in a rural hospital. Methods: This nested case-control study derived from the implementation of a nutritional screening programme in Parindu Hospital, Sanggau, West Borneo, was conducted from December 2018 to February 2019. HAM was defined as a loss of body weight of >2% after hospitalisation. Independent variables such as the age of patients, fever, gastrointestinal loss, pre-existing malnutrition, length of stay, and grade of disease were analysed in univariate and multivariate analyses using logistic regression. Risk factors were expressed as odds ratio and adjusted odds ratio (aOR) with 95% confidence interval (CI). Results: Thirty-three patients were analysed as cases with 59 controls. Median age was younger in the case group (49 months, IQR 14-72.5) than control group (88 months, IQR 43-116). After adjustment for other covariates, age <5 years old (aOR 5.50, 95% CI 1.95- 15.59) and moderate-to-severe grade of disease (aOR 3.50, 95% CI 1.09-11.09) were significant risk factors of HAM in our study. Conclusion: Risk factors of HAM in children hospitalised in a rural hospital were age <5 years old and moderate-tosevere grade of disease.

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Section: Discussioncontrasting

confidence: 67%

Risk factors of hospital-acquired malnutrition in children: A study in a rural hospital of West Borneo, Indonesia

Prasetya¹,

Haryanti²,

Nurani³

2021

Mal J Nutr

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“…Another cross-sectional study performed in 500 hospitalized children aged below 3 years in a children's hospital in Egypt found that 37.8% of patients were high risk according to STRONGkids, 62.4% were underweight, 58.4% were stunted, and 57.8% were wasted according to WHO criteria [36]. The STRONGkids score was found to be higher among those who deteriorated in nutritional status, which, together with its significant positive correlation with the duration of hospital stay, emphasized that STRONGkids score could be a predictive tool.…”

Section: Infantsmentioning

confidence: 99%

Pediatric screening tools for malnutrition: an update

Hulst

Huysentruyt

Joosten

2020

Current Opinion in Clinical Nutrition &Amp; Metabolic Care

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Purpose of reviewThere 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 findingsWe 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. SummaryThree 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.

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“…The adjusted multivariate analysis showed that a longer LOS, necessity of nutrition intervention, and clinical complications were significantly associated with NR. Hospital LOS was higher in patients with higher NR scores in five studies 31,39,49,50,68 . There was a higher chance of longer hospitalization reported in the studies that used the STRONGkids, varying between 1.66 49 and 8.02 50 .…”

Section: Resultsmentioning

confidence: 85%

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

Pereira

Silva

Luz

et al. 2022

J Parenter Enteral Nutr

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

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Nutritional risk screening of hospitalized children aged < 3 years

Cited by 13 publications

References 18 publications

Risk factors of hospital-acquired malnutrition in children: A study in a rural hospital of West Borneo, Indonesia

Risk factors of hospital-acquired malnutrition in children: A study in a rural hospital of West Borneo, Indonesia

Pediatric screening tools for malnutrition: an update

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

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