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

Tuokkola, Jetta; Hilpi, Jonna; Kolho, Kaija-Leena; Orell, Helena; Merras‐Salmio, Laura

doi:10.1186/s41043-019-0166-4

Cited by 24 publications

(49 citation statements)

References 21 publications

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“…Chourdakis et al [21] and Tuokkola et al [22] observed even lower Cohen's kappa values than the obtained in our study (0.37 and 0.309 respectively). All published studies consistently show that STAMP classifies many more patients as high risk compared to STRONGKids (Figure 2): 22% vs. 10% in the study by Chourdakis et al [21], 34.8% vs. 15.9% in Tuokkola et al [22], 44% vs. 27% in Ling et al [23], 27% vs. 4% in Moeeni et al [24], 19.7% vs. 9.9% according to expert observers in Galera-Martinez et al [20] and 12.3% vs. 2.5% in the present study. There is currently no consensus on the best method to assess nutritional status in hospitalized children and, therefore, on which gold standard should to be used to validate any NST [18,25].…”

Section: Discussioncontrasting

confidence: 78%

“…Considering the categories of moderate and high risk, both STAMP and STRONGKids detected all cases of malnutrition at hospital admission, although with a very low specificity, below 50%. This specificity was lower than the value observed in a recent Finnish study by Tuokkola et al (69% for STAMP and 89% for STRONGKids, both with 100% sensitivity) [22], although quite similar to those referred in the systematic review of Huysentruyt et al [25], from studies using other indicators of malnutrition such as weight loss during admission, referral to a nutrition clinic or starting a There is currently no consensus on the best method to assess nutritional status in hospitalized children and, therefore, on which gold standard should to be used to validate any NST [18,25]. In our study we used respectively BMI and HFA Z-scores as indicators of acute and chronic malnutrition.…”

Section: Discussioncontrasting

confidence: 73%

“…Another indicator related to nutritional risk is LOS. Several studies have found a greater LOS in hospitalized children with higher nutritional risk [20][21][22]24]. No differences in hospital LOS according to level of nutritional risk were found in our study.…”

Section: Discussioncontrasting

confidence: 61%

See 2 more Smart Citations

Assessment of Two Nutritional Screening Tools in Hospitalized Children

Solís

Larrea-Tamayo²,

Menéndez-Arias³

et al. 2020

Nutrients

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

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Section: Discussioncontrasting

confidence: 78%

Section: Discussioncontrasting

confidence: 73%

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Assessment of Two Nutritional Screening Tools in Hospitalized Children

Solís

Larrea-Tamayo²,

Menéndez-Arias³

et al. 2020

Nutrients

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“…Penilaian skrining malnutrisi pada anak saat awal masuk rumah sakit disertai dengan pengkajian objektif penting dilakukan. Beberapa skrining malnutrisi baku yang dicoba implementasikan di rumah sakit di Finlandia menggunakan Screening Tool Risk on Nutritional Status and Growth (STRONGKids), Pediatric Yorkhill Malnutrition Score (PYMS), dan Screening Tool for the Assesment of Malnutrition in Paediatrics (STAMP) yang menghasilkan penilaian STRONGKids lebih akurat dan mendiagnosis malnutrisi akut (12) . Pada penelitian lain menggunakan STRONGKids dan Pediatric Nutrition Screening Tools (PNST) menghasilkan nilai sensitifitas dan spesifisitas STRONGKids lebih baik daripada PNST dalam menilai risiko malnutrisi pada anak di rumah sakit (13) .…”

Section: Abstrakunclassified

“…Penilaian STRONGKids berisi 4 pertanyaan yang menghasilkan penilaian risiko rendah dengan skor penilaian 0, risiko sedang dengan skor penilaian 1-3, dan risiko berat dengan skor penilaian 4-5 (17) . Hasil analisis diagnostik dari STRONGKids menunjukan nilai sensitifitas dan spesifisitas sebanyak 100% dan 89% sehingga membuat STRONGKids menjadi alat yang valid yang digunakan di RSUPN Dr. Cipto Mangunkusumo (12) . Selanjutnya penelitian yang menggunakan Screening Tool for Malnutrition in Pediatrics (STAMP) pada anak usia 2-17 tahun mendapatkan nilai sensitifitas dan spesifisitas yang cenderung tidak sesuai yaitu sebesar 86,5% dan 22,7% (1) .…”

Section: Instrumen Penilaian Malnutrisi DI Rumah Sakitunclassified

Tinjauan Literatur Malnutrisi Didapat di Rumah Sakit: Karakteristik Anak dan Alat Skrining yang Digunakan

Ndede

Wanda

2020

JPKSF

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This article aimed of child’s characteristic of hospital acquired malnutrition (HAMs) that need to used screening tool to early detect of that risk. This review articles sourced from online database with the keywords child, pediatric, malnutrition, malnourished, hospital or hospital acquire and screening tool were taken from 2014 to 2019.This review discussed 3 subtopics were: (1) Hospital acquired malnutrition, (2) The characteristics of child with hospital acquired malnutrition, and (3) Instrument of malnutrition assessment in hospitals. Based on 3 subtopics, several factors are found that can make increased of hospital acquired malnutrition in child and a few screening tools that used. Screening tools that are appropriate to the hospital environment and the characteristics of children to be able to assess the nutritional malnutrition properly. Keywords: hospital acquired malnutrition; hospitalization; child; screening tool ABSTRAK Artikel ini membahas tentang karakteristik anak terhadap malnutrisi didapat di rumah sakit (MddRS) yang perlu menggunakan alat skrining baku untuk deteksi awal risiko tersebut. Telaah artikel ini berdasarkan sumber dari online database dengan menggunakan kata kunci digunakan child, pediatric, malnutrition, malnourished, hospital or hospital acquire dan screening tool yang diterbitkan tahun 2014 hingga 2019. Dari hasil telaah artikel, didapatkan subtopik pembahasan diantaranya: 1) Malnutrisi didapat di rumah sakit, 2) Karakteristik malnutrisi didapat di rumah sakit, dan 3) Instrumen penilaian malnutrisi di rumah sakit. Simpulan: Berdasarkan tiga subtopik yang menjelaskan tentang malnutrisi didapat di rumah sakit, didapat beberapa faktor penyebab yang mendasari peningkatan kejadian MddRS dan beberapa alat skrining yang digunakan. Perlu alat yang sesuai dengan lingkungan rumah sakit dan karakteristik pasien untuk dapat menilai kejadian malnutrisi dengan baik dan tepat. Kata kunci: malnutrisi didapat di rumah sakit; hospitalisasi; anak; alat skrining

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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—a cross-sectional study in a tertiary pediatric hospital

Cited by 24 publications

References 21 publications

Assessment of Two Nutritional Screening Tools in Hospitalized Children

Assessment of Two Nutritional Screening Tools in Hospitalized Children

Tinjauan Literatur Malnutrisi Didapat di Rumah Sakit: Karakteristik Anak dan Alat Skrining yang Digunakan

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

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