Publications by authors named "Manel Solsona"

Background: Community-acquired pneumonia (CAP) is a frequent cause of death worldwide. As recently described, CAP shows different biological endotypes. Improving characterization of these endotypes is needed to optimize individualized treatment of this disease.

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Background: Sepsis diagnosis can be incorrectly associated with the presence of hypotension during an infection, so the detection and management of non-hypotensive sepsis can be delayed. We aimed to evaluate how the presence or absence of hypotension, on admission at the emergency department, affects the initial management and outcomes of patients with community-onset severe sepsis.

Methods: Demographic, clinical, laboratory, process of care, and outcome variables were recorded for all patients, at the emergency department of our university hospital, who presented with community-onset severe sepsis, between 1 March and 31 August in three consecutive years.

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Article Synopsis
  • The study aimed to assess the incidence and epidemiological aspects of community-acquired severe sepsis necessitating ICU admission, addressing shortcomings in previous research.
  • Conducted over 9 years with a population of 180,000 adults, it recorded 917 severe sepsis episodes, mainly from pulmonary infections, with an average age of 65.2 years and a mortality rate of 19.7%.
  • Findings indicate an annual incidence rate of 51.54 episodes per 100,000 adults, requiring approximately 2 ICU beds daily, highlighting key risk factors for mortality linked to severity scores and known infection causes.
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Objective: Disinfectable needle-free closed connectors were designed to avoid needle-stick injuries and to be easily disinfected before handling. Workloads or lack of knowledge, however, could impede the correct handling of these devices, allowing endoluminal catheter colonization. The aim of our study was to assess the barrier effect of different disinfectable needle-free closed connectors during correct and incorrect handling using an experimental model.

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