Publications by authors named "Matteo Cesana"

Background: An intensive care unit (ICU) diary provides a powerful and moving account of a patient's journey through critical care.

Aim: The primary goal of this research was to explore the qualitative perceptions of general ICU survivors toward the ICU diary, which was completed during their hospital stay and reintroduced to them during a follow-up visit 6 months after ICU discharge.

Setting: An Italian general ICU with structured follow-up and an ICU diary program.

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Article Synopsis
  • Catheter-related bloodstream infections (CRBSIs) pose significant health risks and additional costs for ICU patients, prompting a study to evaluate their prevalence in accordance with international guidelines for vascular line management.
  • The study, conducted in an Italian ICU over five years, involved 1240 patients, revealing a total of 9 diagnosed CRBSIs with varying infection rates depending on catheter types.
  • Results indicated that CRBSIs are associated with factors like nursing activity levels and specific ICU admission reasons, and implementing recommended care protocols incurred a cost of EUR 130.00 per patient.
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Background: COVID-19 is associated with increased nursing workload, therefore a high nurse-to-patient ratio would be required.

Aim: To analyse difference in nursing workload, as expressed with the Nursing Activities Score (NAS), between COVID-19 patients versus control patients without COVID-19 disease (NCOVID-19 group) in an Italian Extracorporeal Membrane Oxygenation (ECMO) centre.

Study Design: Retrospective analysis of prospectively collected data, enrolling consecutive patients admitted to a general Intensive Care Unit, between 1st May 2019 and 28th February 2021.

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Internet of Things and wireless sensor network applications are becoming more and more popular these days, supported by new communication technologies and protocols tailored to their specific requirements. This paper focuses on improving the performance of a Wireless Sensor Network operated by the MQTT-SN protocol, one of the most popular publish/subscribe protocols for IoT applications. In particular, we propose a dynamic Quality of Service (QoS) controller for the MQTT-SN protocol, capable of evaluating the status of the underlying network in terms of end-to-end delay and packet error rate, reacting consequently by assigning the best QoS value to a node.

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Introduction: Meeting the literature standards during the triage process of trauma victims, allows to make optimal use of the resources available in Trauma Centers and defines their level of quality and efficiency. Otherwise, it may occur over or under-triage. Up to now, in the reality under study and in the national literature, there wasn't any available data about efficiency and effectiveness in the triage of traumatic patients, therefore the primary objective of this study is to evaluate the over and under-triage rate in activating Trauma Team (TT) in the ASST of Monza San Gerardo Hospital.

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Binary local features represent an effective alternative to real-valued descriptors, leading to comparable results for many visual analysis tasks while being characterized by significantly lower computational complexity and memory requirements. When dealing with large collections, a more compact representation based on global features is often preferred, which can be obtained from local features by means of, e.g.

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Visual features are successfully exploited in several applications (e.g., visual search, object recognition and tracking, etc.

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