In the last decade, there has been a growing scientific interest in the analysis of DNA microarray datasets, which have been widely used in basic and translational cancer research. The application fields include both the identification of oncological subjects, separating them from the healthy ones, and the classification of different types of cancer. Since DNA microarray experiments typically generate a very large number of features for a limited number of patients, the classification task is very complex and typically requires the application of a feature-selection process to reduce the complexity of the feature space and to identify a subset of distinctive features. In this framework, there are no standard state-of-the-art results generally accepted by the scientific community and, therefore, it is difficult to decide which approach to use for obtaining satisfactory results in the general case. Based on these considerations, the aim of the present work is to provide a large experimental comparison for evaluating the effect of the feature-selection process applied to different classification schemes. For comparison purposes, we considered both ranking-based feature-selection techniques and state-of-the-art feature-selection methods. The experiments provide a broad overview of the results obtainable on standard microarray datasets with different characteristics in terms of both the number of features and the number of patients.
Intra-abdominal infections (cIAIs) constitute an important cause of morbidity and mortality. Numerous risk factors may influence prognosis of cIAIs. This study aims to evaluate which parameters and scores may better predict prognostic outcomes in cIAIs. This is a single-center prospective observational study. Data from sixty-five patients were collected during a four-month period. Univariate and multivariate analysis for physiological parameters and ROC curves for SIRS, qSOFA and WISS scores were calculated in relation to mortality, intensive care unit (ICU) admission and surgical complications. Blood oxygen saturation level (SpO2), heart and respiratory rate, systolic blood pressure (SBP), level of consciousness, INR, C-reactive protein (CRP), white blood cells, source control and health care-acquired infections affect prognosis in cIAIs according to univariate analysis. On multivariate analysis level of consciousness, SpO2, CRP, diffuse peritonitis, INR and SBP significantly influenced prognosis in cIAIs. AUROC for WISS score were 0.89 for mortality, 0.86 for major complications, 0.76 for ICU admission. In our study many risk factors adversely affect prognostic outcomes in cIAIs; PIPAS study probably may provide even better results on that. Moreover, WISS score reached remarkable performance in predicting mortality and major surgical complications in abdominal sepsis; qSOFA did not achieve satisfactory results in none of analyzed outcomes.
A therapeutic approach that combined CRS + HIPEC could achieve long-term survival in selected groups of patients with PC from gastrointestinal, gynecological and others tumors with acceptable morbidity and mortality. A good expertise and a high volume of patients are necessary to manage PC and to further improve results.
The treatment of duodenal perforations has scarce options and it is very difficult with an high failure rate. The aim of this work is to describe a new surgical technique that was used to treat ten patients suffering from duodenal perforation.The procedure based on the concept to enforce the duodenal suture with remodeling material allowing to the inflamed and oedematous tissues to heal without to be cut by the repairing stitches themselves, is performed with biological prosthesis patches.90% of patients treated with this innovative technique experienced a complete healing of the duodenal perforation.This unique surgical technique not only proved to be safe, but it also solved the 90% of duodenal perforations in patients at risk to die.
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