Literature DB >> 26450660

Identification of population at risk for future Clostridium difficile infection following hospital discharge to be targeted for vaccine trials.

James Baggs1, Kimberly Yousey-Hindes2, Elizabeth Dodds Ashley3, James Meek2, Ghinwa Dumyati3, Jessica Cohen4, Matthew E Wise5, L Clifford McDonald5, Fernanda C Lessa5.   

Abstract

BACKGROUND: Efforts to develop a Clostridium difficile vaccine are underway; identification of patients at risk for C. difficile infection (CDI) is critical to inform vaccine trials. We identified groups at high risk of CDI ≥ 2 8 days after hospital discharge.
METHODS: Hospital discharge data and pharmacy data from two large academic centers, in New York and Connecticut, were linked to active population-based CDI surveillance data from the Emerging Infections Program (EIP). Adult residents of the EIP surveillance area were included if they had an inpatient stay at a study hospital without prior history of CDI. The primary outcome was CDI by either toxin or molecular assay ≥ 28 days after an index hospitalization. Important predictors of CDI ≥ 28 days post discharge were initially identified through a Cox proportional hazards model (stepwise backward selection) using a derivation cohort; final model parameters were used to develop a risk score evaluated in the validation cohort.
RESULTS: Of the 35,186 index hospitalizations, 288 (0.82%) had CDI ≥ 28 days post discharge. After parameter selection, age, number of hospitalizations in the prior 90 days, admission diagnosis, and the use of 3rd/4th generation cephalosporin, clindamycin or fluoroquinolone antibiotic classes remained in the model. Using the validation cohort, the risk score was predictive (p<0.001) with a c-score of 0.75. Based on the distribution of scores in the derivation cohort, we divided the patients into low and high risk groups. In the high risk group, 1.6% experienced CDI ≥ 28 days post discharge compared to 0.3% among our low risk group.
CONCLUSIONS: Our study identified specific parameters for a risk score that can be applied at discharge to identify a patient population whose risk of CDI ≥ 28 days following an acute care hospitalization was 5 times greater than other patients. Published by Elsevier Ltd.

Entities:  

Keywords:  Administrative data; Anti-bacterial agents; Clostridium difficile infection; Health care-associated infections; Vaccines

Mesh:

Substances:

Year:  2015        PMID: 26450660      PMCID: PMC4702247          DOI: 10.1016/j.vaccine.2015.09.078

Source DB:  PubMed          Journal:  Vaccine        ISSN: 0264-410X            Impact factor:   3.641


  15 in total

Review 1.  Vaccine safety surveillance using large linked databases: opportunities, hazards and proposed guidelines.

Authors:  Thomas Verstraeten; Frank DeStefano; Robert T Chen; Elizabeth Miller
Journal:  Expert Rev Vaccines       Date:  2003-02       Impact factor: 5.217

2.  A combined comorbidity score predicted mortality in elderly patients better than existing scores.

Authors:  Joshua J Gagne; Robert J Glynn; Jerry Avorn; Raisa Levin; Sebastian Schneeweiss
Journal:  J Clin Epidemiol       Date:  2011-01-05       Impact factor: 6.437

3.  Vital signs: preventing Clostridium difficile infections.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2012-03-09       Impact factor: 17.586

Review 4.  Clostridium difficile: development of a novel candidate vaccine.

Authors:  Ginamarie Foglia; Siddhi Shah; Christine Luxemburger; Patricia J Freda Pietrobon
Journal:  Vaccine       Date:  2012-06-19       Impact factor: 3.641

5.  Development and validation of a Clostridium difficile infection risk prediction model.

Authors:  Erik R Dubberke; Yan Yan; Kimberly A Reske; Anne M Butler; Joshua Doherty; Victor Pham; Victoria J Fraser
Journal:  Infect Control Hosp Epidemiol       Date:  2011-04       Impact factor: 3.254

6.  Comparison of the burdens of hospital-onset, healthcare facility-associated Clostridium difficile Infection and of healthcare-associated infection due to methicillin-resistant Staphylococcus aureus in community hospitals.

Authors:  Becky A Miller; Luke F Chen; Daniel J Sexton; Deverick J Anderson
Journal:  Infect Control Hosp Epidemiol       Date:  2011-04       Impact factor: 3.254

7.  Burden of Clostridium difficile infection in the United States.

Authors:  Fernanda C Lessa; Yi Mu; Wendy M Bamberg; Zintars G Beldavs; Ghinwa K Dumyati; John R Dunn; Monica M Farley; Stacy M Holzbauer; James I Meek; Erin C Phipps; Lucy E Wilson; Lisa G Winston; Jessica A Cohen; Brandi M Limbago; Scott K Fridkin; Dale N Gerding; L Clifford McDonald
Journal:  N Engl J Med       Date:  2015-02-26       Impact factor: 91.245

8.  The roles of Clostridium difficile and norovirus among gastroenteritis-associated deaths in the United States, 1999-2007.

Authors:  Aron J Hall; Aaron T Curns; L Clifford McDonald; Umesh D Parashar; Ben A Lopman
Journal:  Clin Infect Dis       Date:  2012-04-04       Impact factor: 9.079

9.  Predictive value of ICD-9-CM codes used in vaccine safety research.

Authors:  J P Mullooly; J G Donahue; F DeStefano; J Baggs; E Eriksen
Journal:  Methods Inf Med       Date:  2008       Impact factor: 2.176

10.  Vital signs: improving antibiotic use among hospitalized patients.

Authors:  Scott Fridkin; James Baggs; Ryan Fagan; Shelley Magill; Lori A Pollack; Paul Malpiedi; Rachel Slayton; Karim Khader; Michael A Rubin; Makoto Jones; Matthew H Samore; Ghinwa Dumyati; Elizabeth Dodds-Ashley; James Meek; Kimberly Yousey-Hindes; John Jernigan; Nadine Shehab; Rosa Herrera; Clifford L McDonald; Amy Schneider; Arjun Srinivasan
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2014-03-07       Impact factor: 17.586

View more
  5 in total

1.  Predictors of Early Failure After Fecal Microbiota Transplantation for the Therapy of Clostridium Difficile Infection: A Multicenter Study.

Authors:  Monika Fischer; Dina Kao; Shama R Mehta; Tracey Martin; Joseph Dimitry; Ammar H Keshteli; Gwendolyn K Cook; Emmalee Phelps; Brian W Sipe; Huiping Xu; Colleen R Kelly
Journal:  Am J Gastroenterol       Date:  2016-05-17       Impact factor: 10.864

2.  Evaluation of a risk score to predict future Clostridium difficile disease using UK primary care and hospital data in Clinical Practice Research Datalink.

Authors:  Clare Marley; Yassine El Hahi; Germano Ferreira; Laura Woods; Ana Ramirez Villaescusa
Journal:  Hum Vaccin Immunother       Date:  2019-04-04       Impact factor: 3.452

3.  A Risk Score to Predict Clostridioides difficile Infection.

Authors:  Laurie Aukes; Bruce Fireman; Edwin Lewis; Julius Timbol; John Hansen; Holly Yu; Bing Cai; Elisa Gonzalez; Jody Lawrence; Nicola P Klein
Journal:  Open Forum Infect Dis       Date:  2021-02-04       Impact factor: 3.835

4.  Reductions in inpatient fluoroquinolone use and postdischarge Clostridioides difficile infection (CDI) from a systemwide antimicrobial stewardship intervention.

Authors:  K Ashley Jones; Udodirim N Onwubiko; Mary Elizabeth Sexton; Zanthia Wiley; Julianne Kubes; Benjamin Albrecht; Kristen Paciullo; Jessica Howard-Anderson; Sujit Suchindran; Ronald Trible; Jesse T Jacob; Sarah H Yi; Dana Goodenough; Scott K Fridkin
Journal:  Antimicrob Steward Healthc Epidemiol       Date:  2021-10-22

5.  Increasing Age Has Limited Impact on Risk of Clostridium difficile Infection in an Elderly Population.

Authors:  Margaret A Olsen; Dustin Stwalley; Clarisse Demont; Erik R Dubberke
Journal:  Open Forum Infect Dis       Date:  2018-07-19       Impact factor: 3.835

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.