Publications by authors named "B Suberviola"

Rapid multiplex molecular syndromic panels (RMMSP) (3 or more pathogens and time-to-results < 6 h) allow simultaneous detection of multiple pathogens and genotypic resistance markers. Their implementation has revolutionized the clinical landscape by significantly enhancing diagnostic accuracy and reducing time-to-results in different critical conditions. The current revision is a comprehensive but not systematic review of the literature.

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: Bacterial/fungal coinfections (COIs) are associated with antibiotic overuse, poor outcomes such as prolonged ICU stay, and increased mortality. Our aim was to develop machine learning-based predictive models to identify respiratory bacterial or fungal coinfections upon ICU admission. : We conducted a secondary analysis of two prospective multicenter cohort studies with confirmed influenza A (H1N1)pdm09 and COVID-19.

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Article Synopsis
  • The study tracks the emergence of resistance to ceftazidime-avibactam in a type of antibiotic-resistant bacteria (GES-type carbapenemases) during an unusual outbreak of Serratia marcescens in Spain during COVID-19.* ! -
  • Researchers conducted a retrospective analysis using whole genome sequencing to understand the relationships between bacterial samples from patients and their environment, discovering a genetic connection and plasmid transfer related to resistance.* ! -
  • Key findings include the appearance of a mutation that facilitated the development of resistance to ceftazidime-avibactam, highlighting the urgent need for improved diagnostic tools and better antimicrobial usage strategies to combat such outbreaks.* !
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Article Synopsis
  • * Researchers compared levels of various inflammatory cytokines (IL-6, IL-8, IL-10, TNF-α) in 40 matched lung donors from each category and evaluated their recipients regarding primary graft dysfunction (PGD) and mortality rates after transplantation.
  • * Findings indicated that DBD donors had significantly higher levels of IL-6, IL-8, and IL-10 than DCD donors, with higher TNF-α levels related to increased PGD incidence, although short-term mortality rates
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Objective: To validate the unsupervised cluster model (USCM) developed during the first pandemic wave in a cohort of critically ill patients from the second and third pandemic waves.

Design: Observational, retrospective, multicentre study.

Setting: Intensive Care Unit (ICU).

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