Results 41 to 50 of about 118,981 (359)

CLOSTRIDIUM DIFFICILE ASSOCIATED DISEASE IN THE NEUROINTENSIVECARE UNIT.

open access: yesFrontiers in Neurology, 2013
. BACKGROUND- Critically ill patients are at high risk for acquiring Clostridium difficile infection. The aim of this study was to investigate the prevalence, severity and outcome of Neurointensive Care Unit (NICU) acquired Clostridium difficile ...
Swagata eTripathy   +3 more
doaj   +1 more source

Clostridium difficile infection among veterans health administration patients [PDF]

open access: yes, 2015
OBJECTIVETo report on the prevalence and incidence of Clostridium difficile infection (CDI) from 2009 to 2013 among Veterans Healthcare Administration patientsDESIGNA retrospective descriptive analysis of data extracted from a large electronic medical ...
Dubberke, Erik R   +8 more
core   +3 more sources

The role of a sequencing-based clinical intestinal screening test in patients at high-risk for Clostridium difficile and other pathogens: a case report

open access: yesJournal of Medical Case Reports, 2019
Background Hospitalization and antibiotic treatment can put patients at high risk for Clostridium difficile infection, where a disturbance of the gut microbiome allows for Clostridium difficile proliferation and associated symptoms, including mild ...
Maureen Hitschfeld   +8 more
doaj   +1 more source

A pragmatic harm reduction approach to manage a large outbreak of wound botulism in people who inject drugs, Scotland 2015 [PDF]

open access: yes, 2018
Background People who inject drugs (PWID) are at an increased risk of wound botulism, a potentially fatal acute paralytic illness. During the first 6 months of 2015, a large outbreak of wound botulism was confirmed among PWID in Scotland, which resulted ...
Amanda Weir   +43 more
core   +1 more source

Incidence of acute intestinal infections in Saint Petersburg during COVID-19 pandemic

open access: yesЖурнал инфектологии, 2022
The results of a study of modern epidemiological and characteristics of acute intestinal infections against the backdrop of the COVID-19 pandemic are presented.
T. V. Potapova   +5 more
doaj   +1 more source

Pathogenicity locus, core genome, and accessory gene contributions to Clostridium difficile virulence [PDF]

open access: yes, 2017
Clostridium difficile is a spore-forming anaerobic bacterium that causes colitis in patients with disrupted colonic microbiota. While some individuals are asymptomatic C.
Brittany B. Lewis   +9 more
core   +3 more sources

Micro‐ and Nano‐Bots for Infection Control

open access: yesAdvanced Materials, EarlyView.
This review presents a strategic vision for integrating micro‐ and nanobots in the pipeline for infection diagnosis, prevention, and treatment. To develop these robots as a practical solution for infection management, their design principles are clarified based on their propulsion mechanisms and then categorized infection management domains based on ...
Azin Rashidy Ahmady   +5 more
wiley   +1 more source

The SIR model in a moving population: propagation of infection and herd immunity [PDF]

open access: yesarXiv, 2022
In a collection of particles performing independent random walks on $\mathbb Z^d$ we study the spread of an infection with SIR dynamics. Susceptible particles become infected when they meet an infected particle. Infected particles heal and are removed at rate $\nu$.
arxiv  

The burden of clostridium difficile infection in patients with liver cirrhosis [PDF]

open access: yes, 2019
Clostridium Difficile Infection (CDI) has registered a dramatically increasing incidence in the general population over the past decades. Nowadays, Clostridium Difficile is the leading cause of hospital-acquired diarrhea in Europe and North America ...
Dumitru, Andrada   +5 more
core   +1 more source

Correlation Between Fecal Microbiota and Corticosteroid Responsiveness in Primary Immune Thrombocytopenia: an Exploratory Study

open access: yesAdvanced Science, EarlyView.
This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu   +38 more
wiley   +1 more source

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