Publications by authors named "Mailis Amico"

Background: Nissen sleeve gastrectomy is a new bariatric procedure based on the combination of 2 well-known surgical techniques (vertical sleeve gastrectomy and Nissen fundoplication). It was conceived as a means to prevent the major drawback of the sleeve gastrectomy (SG), the gastroesophageal reflux disease (GERD), while preserving the advantages of SG in terms of weight loss, and remission of obesity-related comorbidities.

Objectives: The objectives of this study are to present the long-term (5 years) follow-up results on weight loss, evolution of GERD and other comorbidities, and the complication rate of the Nissen sleeve gastrectomy.

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Background: Red blood cell (RBC) transfusions are frequent in patients after cardiac surgery. This study assessed whether a bundle of care including pre-operative and post-operative administration of erythropoietin (EPO) with intravenous iron supplementation, and restrictive transfusion adjusted for ScvO could result in reduced postoperative transfusions.

Methods: In this single-centre, randomised, open-label, parallel-group controlled pilot study, patients undergoing elective cardiac surgery with high risk of transfusion in a University Hospital were enrolled by the investigator and the randomisation procedure using a central internet-based system was made by the clinical research assistant.

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Background: Tryptophan is the precursor to the mood regulating neurotransmitter serotonin. Its brain bioavailability from food can be dependent on the dietary source. Egg protein hydrolysate (EPH), a dietary supplement rich in tryptophan, has previously shown to acutely impact cognition, mood and stress benefits at 2 g dose.

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Background: Human milk oligosaccharides (HMOs) have important and diverse biological functions in early life. This study tested the safety and efficacy of a starter infant formula containing Limosilactobacillus (L.) reuteri DSM 17938 and supplemented with 2'-fucosyllactose (2'FL).

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In survival analysis, it often happens that a certain fraction of the subjects under study never experience the event of interest, that is, they are considered "cured." In the presence of covariates, a common model for this type of data is the mixture cure model, which assumes that the population consists of two subpopulations, namely the cured and the non-cured ones, and it writes the survival function of the whole population given a set of covariates as a mixture of the survival function of the cured subjects (which equals one), and the survival function of the non-cured ones. In the literature, one usually assumes that the mixing probabilities follow a logistic model.

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