Background: Malnutrition in Intensive Care Unit patients has been associated with worse clinical outcomes such as mortality and length of stay (LOS) in Intensive Care Unit (ICU), and nutritional status of Intensive Care Unit patients in particular seemed to be a significant predictor of mortality. Promptness of clinical nutrition administration is a key of nutritional support whenever volitional intake is unfeasible. Early enteral nutrition is associated with better clinical outcomes (reduced complications, LOS in ICU and in Hospital). The aim of this study is to investigate the nutrition therapy management in a large Academic Hospital, evaluating its effects on mortality and LOS in ICU and in the Hospital.

Study Design: Data were collected retrospectively from clinical records. Six physicians were trained on the data collection protocol and they reviewed every clinical record of patients included in the survey.

Methods: Data of 426 patients admitted to ICUs between November 2016, 1st and April 2017, 30th were collected. A multivariate logistic adjusted regression, with backward variables selection method, was performed in order to identify predictors of enteral and parenteral nutrition conducted within 48 hours after admission to the ICU. The relation between medical nutrition therapy, mortality and LOS in ICU and in the Hospital were also evaluated.

Results: Patients were given prompt parenteral and enteral nutrition in 25.12% and 27.46% of cases, respectively. No association was found between medical nutrition therapy and ICU or hospital mortality. Predictors of early enteral nutrition were type of admission and surgery before admission; early parenteral nutrition predictors were gender, ICU (A vs B), impaired immunity status and Central Venous Catheter presence at admission.

Conclusions: Our study stresses the need of monitoring nutrition prescribing behaviors in acute hospitals in order to better set up tailored interventions to standardize clinicians' practices and to focus on specific training targets.

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http://dx.doi.org/10.7416/ai.2020.2362DOI Listing

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