occurrences, along 72 hours, were analyzed by machine learning (ML) classification algorithms predicting several mortality and morbidity outcomes metrics. Prediction performance was assessed by the area under the curve (AUROC) of ten-fold cross-validation and validation sets. The study was approved by the ethics committee of Beilinson. Results: The dataset comprised of 1,782 patients who received enteral nutrition (EN). The median (IQR) age was 62 (48-72) years, . Main admission conditions: surgical (47%), trauma (27%) and medical (25%). Five ML algorithms were trained and tested (Python software). The best performing algorithm was Random Forest classifier. Models included admission conditions only achieved AUC of 73% -77% (according to outcome metric), while the addition of FI occurrences along 72 hours achieved AUC of 82% -87%, respectively. Valuable predictors were mainly large GRV (>250 mL) and inadequate delivery of enteral nutrition. Conclusion: FI occurrences along 72 hours of ICU admission has an incremental prognostic significance in an ML approach predicting adverse clinical outcomes in enterally fed critically ill patients.

Venous thromboembolism (VTE) includes two closely associated clinical conditions: deep vein thrombosis (DTV) and its main acute complication, pulmonary embolism (PE). In the hospital setting, venous thromboembolism is a concern because of its high prevalence rate. It is estimated that one in twenty inpatients is at risk of pulmonary embolism, if adequate preventive measures are not applied.These may or may not be pharmacological. In this context, the objective of this study is to identify the non-pharmacological measures recommended to prevent venous thromboembolism in inpatients. An integrative literature review was performed using the PI[C]OD method by searching the following databases: EBSCO host, PubMed, JBI, PEDro, Elsevier-ClinicalKey, Scielo and Google Academic studies published in the períod 2006-2016. From the research were included five articles that met the inclusion criteria. The results of the review found that effective mechanical methods comprised graduated compression stockings and intermittent pneumatic compression devices while for nursing care early mobilization and ambulation were identified as preventive measures of VTE. The studies suggest several benefits of using non-pharmacological measures to prevent venous thromboembolism. The differentiated intervention of the nurse specialist in rehabilitation integrated in the multidisciplinary team can be an added value in the adequacy of these measures.