Derivation and Validation of a Clinical Prediction Rule for Complications of Clostridium difficile Infection Using a Multicenter Prospective Cohort
نویسندگان
چکیده
1305. External validation of predictive scores for mortality following Clostridium difficile infection Catherine Beauregard-Paultre, MD; Claire Nour Abou Chakra, PhD; Allison Mcgeer, MD, MSc; Annie-Claude Labbé, MD; Andrew E. Simor, MD, FRCPC, FACP; Wayne Gold, MD; Matthew P. Muller, MD, PhD, FRCPC; Jeff Powis, MD, MSc, FRCPC; Kevin Katz, MD, CM, MSc, FRCPC; Suzanne Cadarette, PhD; Jacques Pépin, MD; Julian R. Garneau, MSc and Louis Valiquette, MD, MSc, FRCPC; Microbiology and Infectious Disease, Université de Sherbrooke, Sherbrooke, QC, Canada, Infection Control, University of Toronto, Toronto, ON, Canada, Microbiology, CIUSSS de l’est-del’île-de-Montréal, Montreal, QC, Canada, Microbiology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, Toronto General Hospital, Toronto, ON, Canada, Medicine, St.Michael’s Hospital, Toronto, ON, Canada, Michael Garron Hospital, Toronto, ON, Canada, Department of Infection Control, North York General Hospital, Toronto, ON, Canada, University of Toronto, Toronto, ON, Canada, Centre de recherche du Centre hospitalier universitaire de Sherbrooke, Sherbrooke, QC, Canada
منابع مشابه
A Multi-Center Prospective Derivation and Validation of a Clinical Prediction Tool for Severe Clostridium difficile Infection
BACKGROUND AND AIMS Prediction of severe clinical outcomes in Clostridium difficile infection (CDI) is important to inform management decisions for optimum patient care. Currently, treatment recommendations for CDI vary based on disease severity but validated methods to predict severe disease are lacking. The aim of the study was to derive and validate a clinical prediction tool for severe outc...
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BACKGROUND & AIMS Prevention of recurrent Clostridium difficile infection (CDI) is a substantial therapeutic challenge. A previous prospective study of 63 patients with CDI identified risk factors associated with recurrence. This study aimed to develop a prediction rule for recurrent CDI using the above derivation cohort and prospectively evaluate the performance of this rule in an independent ...
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BACKGROUND Clostridium difficile infection poses a significant healthcare burden. However, the derivation of a simple, evidence based prediction rule to assist patient management has not yet been described. METHOD Univariate, multivariate and decision tree procedures were used to deduce a prediction rule from over 186 variables; retrospectively collated from clinical data for 213 patients. Th...
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CONTEXT Identifying patients at risk for adverse outcomes of Clostridium difficile infection (CDI), including recurrence and death, will become increasingly important as novel therapies emerge, which are more effective than traditional approaches but very expensive. Clinical prediction rules (CPRs) can improve the accuracy of medical decision-making. Several CPRs have been developed for CDI, bu...
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BACKGROUND Clostridium difficile infection (CDI) continues to be a frequent and potentially severe infection. There is currently no validated clinical tool for use at the time of CDI diagnosis to categorize patients in order to predict response to therapy. METHODS Six clinical and laboratory variables, measured at the time of CDI diagnosis, were combined in order to assess their correlation w...
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