[Influence of nutritional status on clinical outcomes in hospitalised children]
Jimena Pérez Moreno1, Sara de la Mata Navazo2, Estíbaliz López-Herce Arteta2
1Sección de Hospitalización de Pediatría, Hospital General Universitario Gregorio Marañón, Madrid, España; Instituto de Investigación Sanitaria Gregorio Marañón (IISGM), Madrid, España.
Insights
Nearly 50% of hospitalized children face high malnutrition risk. This risk, identified by the Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP), correlates with longer hospital stays and increased illness severity.
Area of Science:
- Pediatric Medicine
- Clinical Nutrition
- Hospital Epidemiology
Background:
- Paediatric malnutrition is a common hospital comorbidity, affecting approximately 31.4% of children.
- Malnutrition during hospital admission can negatively impact clinical outcomes in pediatric patients.
Purpose of the Study:
- To assess malnutrition risk in hospitalized children using the STAMP tool.
- To investigate the association between malnutrition risk and clinical outcomes, including illness severity and length of stay.
Main Methods:
- A prospective, analytical study involving 200 children aged 1 month to 15 years admitted to a tertiary hospital.
- Utilized the validated Screening Tool for the Assessment of Malnutrition in Paediatrics (STAMP) for risk classification.
- Employed multivariate statistical analysis to identify predictors of illness severity.
Main Results:
- Nearly 50% of hospitalized children presented with a high risk of malnutrition (STAMP ≥4) upon admission.
- A higher STAMP score was significantly associated with a longer hospital stay (P<.01) and increased illness severity (P<.01).
- Multivariable analysis indicated that STAMP is a predictor of illness severity (OR 1.48, P<.01).
Conclusions:
- The STAMP screening tool identified a high risk of malnutrition in almost half of the hospitalized pediatric patients.
- Malnutrition risk at admission, as measured by STAMP, is linked to prolonged hospital stays and greater illness severity.
- Evaluating malnutrition risk upon admission is crucial for understanding and potentially mitigating illness severity in pediatric patients.
Introduction:
Paediatric malnutrition during hospital admission is a prevalent comorbidity, which it is estimated around 31.4% in our environment, and could influence the clinical outcomes of paediatric patients.
Objective:
The aim of this study was to describe the malnutrition risk in hospitalised children using STAMP (Screening Tool for the Assessment of Malnutrition in Paediatrics), and to study its relationship with clinical outcomes.
Methods:
A single-centre, analytical and prospective study was conducted on children aged 1 month to 15 years hospitalised in a tertiary hospital between October and December 2017. An analysis was made of the clinical data and anthropometric measurements (weight, height, Waterlow weight classification). Patients were classified according to STAMP, which is a validated screening tool used to classify the risk of paediatric malnutrition during hospital admission. Multivariate statistical analysis was used to identify predictive variables of illness severity.
Results:
An analysis was made on a total of 200 patients (55% male), with a median age of 15.8 months (IQR 2.5-42.8), and a median length of stay of 3 days (IQR 1-18 days). Almost half (48.3%) of them had high risk of malnutrition at admission (STAMP ≥4), and 48.2% showed medium risk (STAMP 2-3). A higher STAMP score was associated with longer length of hospital stay (P<.01) and greater severity (P<.01). Multivariable analysis showed that STAMP could be a predictor of illness severity (OR 1.48, 95% CI: 1.18-1.86, P<.01).
Conclusions:
Nearly 50% of hospitalised children have a high risk of malnutrition at admission according to the STAMP screening tool. Risk of malnutrition at admission measured according to STAMP nutritional screening was associated with a longer length of stay and greater severity of illness. It is important to evaluate the risk of malnutrition as this could be related to illness severity.
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