Keywords
Abstract
Introduction: Nutritional therapy is one of the most used therapeutic interventions in intensive care, when correctly applied, it helps to reduce metabolic complications, immune balance, in addition to mitigating the loss of body mass in seriously ill patients. Objective: to evaluate the association of anthropometric indicators and protein consumption with the clinical outcome of critically ill patients using exclusive enteral nutritional therapy (ENT). Methodology: This is a prospective, observational, analytical study, using data from adult and elderly patients exclusively using ENT, developed in an Intensive Care Unit (ICU) of the Dr. Anuar Auad Tropical Disease Hospital (HDT). Performed by collecting secondary data recorded in the medical records of patients ≥ 18 years old, who received exclusive enteral nutritional therapy for at least 72 hours. The anthropometric indicators body mass index (BMI) and arm circumference were used. of protein needs, the recommendation of the American Society for Parenteral and Enteral Nutrition was considered. Nutritional adequacy was performed through the daily collection of the volume of the prescribed and administered enteral formula. In the analysis, parametric and non-parametric tests were used and it was considered significant p < 0.05. Result: Participated in the study 52 patients who were using ENT nutrition. exclusive list admitted to the ICU in the hospital for at least 72 hours during the data collection stage. Of these patients, the majority were male (76.9%), with a mean age of 45.7 years (SD=15.0, minimum 20 and maximum 71). The mean hospital stay was 12 days. The diagnoses of AIDS (acquired immunodeficiency syndrome) (46.1%) and COVID-19 (13.4%) were the most prevalent. It was identified that almost 60% of the sample had no comorbidities and the most frequent clinical outcome was hospital discharge. Conclusion: In this study, there were no associations between the evaluated clinical outcomes (discharge or death) with the protein intake offered and the anthropometric indicators, as well as they did not have between the demographic and clinical variables investigated.