scholarly journals Implementing Automated Surveillance for Tracking Clostridium difficile Infection at Multiple Healthcare Facilities

2012 ◽  
Vol 33 (3) ◽  
pp. 305-308 ◽  
Author(s):  
Erik R. Dubberke ◽  
Humaa A. Nyazee ◽  
Deborah S. Yokoe ◽  
Jeanmarie Mayer ◽  
Kurt B. Stevenson ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Disease Control ◽  
Excellent Agreement ◽  
Clostridium Difficile Infection ◽  
Electronic Surveillance ◽  
Healthcare Facilities ◽  
Highly Sensitive ◽  
Control And Prevention ◽  
Automated Surveillance ◽  
Community Onset

Automated surveillance using electronically available data has been found to be accurate and save time. An automated Clostridium difficile infection (CDI) surveillance algorithm was validated at 4 Centers for Disease Control and Prevention Epicenter hospitals. Electronic surveillance was highly sensitive, specific, and showed good to excellent agreement for hospital-onset; community-onset, study facility-associated; indeterminate; and recurrent CDI.Infect Control Hosp Epidemiol 2012;33(3):305-308

scholarly journals Shift to community-onset Clostridium difficile infection in the national Veterans Health Administration, 2003-2014

2018 ◽  
Vol 46 (4) ◽  
pp. 431-435 ◽  
Author(s):  
Kelly R. Reveles ◽  
Mary Jo V. Pugh ◽  
Kenneth A. Lawson ◽  
Eric M. Mortensen ◽  
Jim M. Koeller ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Clostridium Difficile Infection ◽  
Veterans Health Administration ◽  
Veterans Health ◽  
Health Administration ◽  
Community Onset

Impact of clostridium difficile infection on gastrointestinal malignancies.

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 170-170
Author(s):  
Stuthi Perimbeti ◽  
Rishi Shrivastav ◽  
Prateeth Pati ◽  
Kristine Marie Ward ◽  
Michael Styler ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Clostridium Difficile Infection ◽  
Primary Diagnosis ◽  
Chi Square ◽  
Gastrointestinal Malignancies ◽  
Risk Of Death ◽  
Cox Proportional Hazard ◽  
Increased Risk ◽  
Control And Prevention ◽  
Chi Square Test

170 Background: According to the Centers for Disease Control and Prevention, there were half a million documented cases with 83,000 re-infections and 29,000 deaths due to Clostridium Difficile Infection(CDI) in the year 2011. The influence of CDI on outcomes in gastrointestinal(GI) malignancies is not well described, although the incidence is known to be higher in this subgroup of patients. Methods: National Inpatient Sample 1999-2014 was analyzed to identify adult admissions (>18 years of age) using ICD-9-CM codes with a primary diagnosis of esophageal(EC), Gastric(GC), Colorectal(CRC), Small intestinal(SIC), Hepatobiliary(HCC) and Pancreatic(PC) cancers. ICD-9 code 00845 was used to stratify these for the presence of CDI. We performed Chi-Square test to determine the in-hospital mortality percentage, and Cox Proportional Hazard model to control for confounders and determine the Hazard Ratio(HR) of death within 30 days of admission during hospitalization in patients with and without CDI. Results: See table. Conclusions: Despite controlling for potential confounders, patients with GI cancers and CDI are at an increased risk of death compared to those without CDI. Taking the more detrimental effects of CDI in this subgroup of patients into consideration, healthcare professionals should strive to avoid the inordinate use of antibiotics and strictly maintain current guidelines designed to prevent spread. It may be prudent to treat these patients as severe CDI, even if current criteria are not met. More scientific research is warranted in analyzing the specific outcomes of CDI in GI cancer patients and if more aggressive therapy for CDI is warranted, considering the limitations of this study. [Table: see text]

scholarly journals Community-onset Clostridium difficile infection at a tertiary medical center in southern Taiwan, 2007–2015

2018 ◽  
Vol 51 (2) ◽  
pp. 243-250 ◽  
Author(s):  
Chin-Shiang Tsai ◽  
Yuan-Pin Hung ◽  
Jen-Chieh Lee ◽  
Nan-Yao Lee ◽  
Po-Lin Chen ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Clostridium Difficile Infection ◽  
Medical Center ◽  
Southern Taiwan ◽  
Community Onset

ASID/ACIPC position statement – Infection control for patients with Clostridium difficile infection in healthcare facilities

2019 ◽  
Vol 24 (1) ◽  
pp. 32-43 ◽  
Author(s):  
Rhonda L. Stuart ◽  
Caroline Marshall ◽  
Glenys Harrington ◽  
Louisa Sasko ◽  
Mary-Louise McLaws ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Infection Control ◽  
Clostridium Difficile Infection ◽  
Position Statement ◽  
Healthcare Facilities

Automated Surveillance of Clostridium difficile Infections Using BioSense

2011 ◽  
Vol 32 (1) ◽  
pp. 26-33 ◽  
Author(s):  
Stephen R. Benoit ◽  
L. Clifford McDonald ◽  
Roseanne English ◽  
Jerome I. Tokars
Keyword(s):  
Clostridium Difficile ◽  
Surveillance System ◽  
Laboratory Data ◽  
Public Health Importance ◽  
Multicenter Cohort Study ◽  
Administrative Records ◽  
Disease Rates ◽  
Automated Surveillance ◽  
Toxin Assay ◽  
Community Onset

Objective.To determine the feasibility of using electronic laboratory and admission-discharge-transfer data from BioSense, a national automated surveillance system, to apply new modified Clostridium difficile infection (CDI) surveillance definitions and calculate overall and facility-specific rates of disease.Design.Retrospective, multicenter cohort study.Setting.Thirty-four hospitals sending inpatient, emergency department, and /or outpatient data to BioSense.Methods.Laboratory codes and text-parsing methods were used to extract C. difficile-positive toxin assay results from laboratory data sent to BioSense during the period from January 1, 2007, through June 30, 2008; these were merged with administrative records to determine whether cases were community associated or healthcare onset, as well as patient-day data for rate calculations. A patient was classified as having hospital-onset CDI if he or she had a C. difficile toxin-positive result on a stool sample collected 3 or more days after admission and community-onset CDI if the specimen was collected less than 3 days after admission or the patient was not hospitalized.Results.A total of 4,585 patients from 34 hospitals in 12 states had C. difficile-positive assay results. More than half (53.0%) of the cases were community-onset, and 30.8% of these occurred in patients who were recently hospitalized. The overall rate of healthcare-onset CDI was 7.8 cases per 10,000 patient-days, with a range among facilities of 1.5-27.8 cases per 10,000 patient-days.Conclusions.Electronic laboratory data sent to the BioSense surveillance system were successfully used to produce disease rates of CDI comparable to those of other studies, which shows the feasibility of using electronic laboratory data to track a disease of public health importance.

scholarly journals Misclassification of Community-Onset Clostridium difficile Infection (CDI) as Hospital-Onset CDI at an Academic Medical Center

2015 ◽  
Vol 2 (suppl_1) ◽  
Author(s):  
Christopher Polage ◽  
Michael Kennedy ◽  
Clare Gyorke ◽  
Catherine Adamson ◽  
Stacy Hevener ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Clostridium Difficile Infection ◽  
Medical Center ◽  
Academic Medical Center ◽  
Academic Medical ◽  
Community Onset
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