Literature DB >> 29095016

Hospital malnutrition screening at admission: malnutrition increases mortality and length of stay.

Elisabet Leiva Badosa1, Maria Badia Tahull, Núria Virgili Casas, Gema Elguezabal Sangrador, Concepción Faz Méndez, Ignacio Herrero Meseguer, Àngels Izquierdo González, Rafael López Urdiales, Francisco Javier Oca Burguete, María Tubau Molas, Concepció Vilarasau Farré, Josep Manel Llop Talaveron.   

Abstract

INTRODUCTION: Malnutrition is common in patients admitted to hospital and is associated with morbidity and mortality. We conducted a study to assess the prevalence of nutritional risk, risk factors associated and its consequences in a third-level hospital.
METHODS: This is a prospective nutritional screening study of hospitalized patients evaluated within the first 72 hours of admission, by Malnutrition Universal Screening Tool (MUST) and Short Nutritional Assessment Questionnaire (SNAQ) screening tests. The variables recorded included demographic, anthropometric, hospitalization and clinical data.
RESULTS: Out of 409 patients, 12.7% and 15.3% were nutritionally at risk according to MUST and SNAQ, respectively, with the highest prevalence in critical care units (33.3%; 25.5%), amongst oncologic patients (17.5%; 28.4%) and those with higher Charlson comorbidity indices (CCI). Length of stay (LOS) was longer in patients at severe malnutrition risk (15.4 vs 9.9 days for MUST; 13.3 vs 9.9 days for SNAQ). Mortality was higher in those with high malnutrition risk (66.7% vs 10.9% for MUST; 50.0% vs 14.2% for SNAQ). Multivariate analysis showed that malnutrition was associated with CCI and mortality. Risk factors associated with LOS were admission as emergencies for both MUST and SNAQ tests.
CONCLUSIONS: The prevalence of malnutrition is high in patients on admission to a third-level hospital, with a higher prevalence in critical care units, amongst oncologic patients and those with a higher CCI. Malnutrition is associated with longer LOS and higher mortality. The systematic clinical use of screening tools enables to detect patients at risk of malnutrition and take appropriate action.

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Year:  2017        PMID: 29095016     DOI: 10.20960/nh.657

Source DB:  PubMed          Journal:  Nutr Hosp        ISSN: 0212-1611            Impact factor:   1.057


  15 in total

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9.  Body Composition and Selected Nutritional Indicators in Healthy Adults-A Cross-Sectional Study.

Authors:  Paweł Więch; Zdzisława Chmiel; Dariusz Bazaliński; Marek Sobolewski; Izabela Sałacińska
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10.  Predictors of three-month mortality among hospitalized older adults in Togo.

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Journal:  BMC Geriatr       Date:  2020-11-26       Impact factor: 3.921

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