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Optimal Nutritional Factors Influencing the Duration of Mechanical Ventilation Among Adult Patients with Critical Illnesses in an Intensive Care Unit

OBJECTIVE: This study aims to identify the impact of nutritional factors on mechanical ventilation duration for critical patients. PATIENTS AND METHODS: The current study was a single-center, prospective observational design which enrolled one-hundred critically ill patients who were admitted to an...

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Detalles Bibliográficos
Autores principales: Koontalay, Apinya, Suksatan, Wanich, Sadang, Jonaid M, Prabsangob, Kantapong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203270/
https://www.ncbi.nlm.nih.gov/pubmed/34140776
http://dx.doi.org/10.2147/JMDH.S319553
Descripción
Sumario:OBJECTIVE: This study aims to identify the impact of nutritional factors on mechanical ventilation duration for critical patients. PATIENTS AND METHODS: The current study was a single-center, prospective observational design which enrolled one-hundred critically ill patients who were admitted to an intensive care unit (ICU). It demonstrates purposive sampling and also performs the descriptive nutritional factors influencing the mechanical ventilation duration. Daily calories target requirement scale (DCRS), subjective global assessment form (SGA), dyspnea assessment form, and APACHE II have been used as methods in the study along with time to initial enteral nutrition (EN) after 24-hour admission and daily calories target requirement over 7 days to assess patients. Data is analyzed using the multiple regressions. RESULTS: As a result, nutritional status monitoring, time to initial EN, calories and target requirements are statistically positive significance associated with the mechanical ventilation duration respectively (R = 0.54, R = 0.30, R= 0.40, p < 0.05). However, age, illness severity, and dyspnea scales are not associated with the mechanical ventilation duration (p> 0.05). Therefore, the nutritional status, malnutrition scores and calorie target requirements can be used to significantly predict the mechanical ventilation duration. The predictive power is 58 and 28.0% of variance. The most proper influencer to predict the mechanical ventilation duration is nutritional status or malnutrition scores. CONCLUSION: The research findings show that the nutritional status, time to initial EN, and calorie target requirement within 7 days of admission are associated with the mechanical ventilation duration in the critical patients. Therefore, it can be used to develop guidelines reducing the mechanical ventilation duration and to promote the ventilator halting for critical patients.