BACKGROUND Clostridium difficile infections are common among hospitalised patients, with some infections acquired in hospital and others in the community. International guidelines classify cases as hospital-acquired if symptom onset occurs >2 days after admission. This classification informs surveillance and infection control, but has not been verified by empirical or modelling studies. AIMS To assess current classification of C. difficile acquisition using a simulation model as a gold standard. METHODS We simulated C. difficile transmission in a range of hospital scenarios. We calculated the sensitivity, specificity and precision of classifications that use cut-offs ranging from 0.25 hours to 40 days. We identified the optimal cut-off that...
SummaryBackgroundClostridium difficile infection (CDI) is increasingly being found in populations wi...
OBJECTIVE Estimating the risk of a complicated course of Clostridium difficile infection (CDI) might...
BACKGROUND: Recent evidence suggests that less than one-quarter of patients with symptomatic nosocom...
Background: Clostridium difficile is the leading cause of infectious diarrhea in hospitalized patien...
As hospitalists, we often care for patients who either present with diarrhea or develop diarrhea dur...
Introduction: Mathematical modelling of Clostridium difficile infection dynamics could contribute to...
INTRODUCTION: Mathematical modelling of Clostridium difficile infection dynamics could contribute to...
BACKGROUND: The burden of healthcare-associated infections, such as healthcare-acquired Clostridium ...
Background: Clostridium difficile infection (CDI) is a leading cause of antibiotic-associated diarrh...
The thesis explored a number of fundamental issues regarding the development of predictive models fo...
AbstractTo develop and validate a prediction model for Clostridium difficile infection (CDI) in hosp...
Clostridium difficile is a health care–associated infection of increasing importance. The purpose of...
Background: National Healthcare Safety Network (NHSN) guidelines define a Clostridioides difficile h...
We conducted a systematic review of mathematical models of transmission dynamic of Clostridium diffi...
<div><p>Background</p><p>We conducted a systematic review of mathematical models of transmission dyn...
SummaryBackgroundClostridium difficile infection (CDI) is increasingly being found in populations wi...
OBJECTIVE Estimating the risk of a complicated course of Clostridium difficile infection (CDI) might...
BACKGROUND: Recent evidence suggests that less than one-quarter of patients with symptomatic nosocom...
Background: Clostridium difficile is the leading cause of infectious diarrhea in hospitalized patien...
As hospitalists, we often care for patients who either present with diarrhea or develop diarrhea dur...
Introduction: Mathematical modelling of Clostridium difficile infection dynamics could contribute to...
INTRODUCTION: Mathematical modelling of Clostridium difficile infection dynamics could contribute to...
BACKGROUND: The burden of healthcare-associated infections, such as healthcare-acquired Clostridium ...
Background: Clostridium difficile infection (CDI) is a leading cause of antibiotic-associated diarrh...
The thesis explored a number of fundamental issues regarding the development of predictive models fo...
AbstractTo develop and validate a prediction model for Clostridium difficile infection (CDI) in hosp...
Clostridium difficile is a health care–associated infection of increasing importance. The purpose of...
Background: National Healthcare Safety Network (NHSN) guidelines define a Clostridioides difficile h...
We conducted a systematic review of mathematical models of transmission dynamic of Clostridium diffi...
<div><p>Background</p><p>We conducted a systematic review of mathematical models of transmission dyn...
SummaryBackgroundClostridium difficile infection (CDI) is increasingly being found in populations wi...
OBJECTIVE Estimating the risk of a complicated course of Clostridium difficile infection (CDI) might...
BACKGROUND: Recent evidence suggests that less than one-quarter of patients with symptomatic nosocom...