Análisis de sobrevida en pacientes críticos con soporte nutricional según el puntaje mNUTRIC

Micaela Soledad Di Iorio; Ailén Azul Perez; Ommi Acosta Sero

doi:10.35454/rncm.v6n2.483

Authors

Micaela Soledad Di Iorio División Alimentación del Hospital General de Agudos Dr. Cosme Argerich
Ailén Azul Perez División Alimentación del Hospital General de Agudos Dr. Cosme Argerich
Ommi Acosta Sero Hospital Cosme Argerich. Universidad Abierta Interamericana https://orcid.org/0000-0001-7633-9164

DOI:

https://doi.org/10.35454/rncm.v6n2.483

Keywords:

mNUTRIC Score, Survival, Length of Stay, Critical Care, Enteral Nutrition

Abstract

Introduction: The mNUTRIC tool was designed to identify patients hospitalized in Intensive Care Units (ICU) who would benefit from an optimized and intensive nutritional intervention. According to several guidelines, nutritional risk is associated with mortality and hospital length of stay.

Objectives: To analyze the association between 30-day survival and ICU length of stay using the mNUTRIC Score, adjusted by protein-energy provision.

Methods: 110 patients hospitalized in the ICU of a public hospital in Buenos Aires with an indication of exclusive enteral nutritional support were included. Survival analysis and Cox regression models were performed using an observational, longitudinal, analytical, and ambispective design.

Results: According to the multiple regression models, the risk of death increased on average by 4% for each additional year of age (p= 0.002) and dropped by 79% in average for each additional gram of protein per kilo of weight provided (p= 0.021), while the probability of discharge from the ICU was lower for older ages (p=0.002). The mNUTRIC, sex, caloric intake, obesity, and COVID-19 infection were not associated with the outcome variables.

Conclusions: The mNUTRIC score showed no association with mortality and ICU stay, although the COVID-19 infection may have attenuated its impact. Protein intake was a protective factor for mortality and, therefore, additional strategies should be implemented to optimize it.

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