Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-25T18:32:36.555Z Has data issue: false hasContentIssue false

Multicenter Study of the Impact of Community-Onset Clostridium difficile Infection on Surveillance for C. difficile Infection

Published online by Cambridge University Press:  02 January 2015

Erik R. Dubberke*
Affiliation:
Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
Anne M. Butler
Affiliation:
Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
Bala Hota
Affiliation:
Department of Medicine, John H. Stroger Jr. Hospital, Rush University Medical Center, Chicago, Illinois
Yosef M. Khan
Affiliation:
Department of Medicine, The Ohio State University Medical Center, Columbus, Ohio
Julie E. Mangino
Affiliation:
Department of Medicine, The Ohio State University Medical Center, Columbus, Ohio
Jeanmarie Mayer
Affiliation:
Department of Medicine, the University of Utah Hospital, Salt Lake City, Utah
Kyle J. Popovich
Affiliation:
Department of Medicine, John H. Stroger Jr. Hospital, Rush University Medical Center, Chicago, Illinois
Kurt B. Stevenson
Affiliation:
Department of Medicine, The Ohio State University Medical Center, Columbus, Ohio
Deborah S. Yokoe
Affiliation:
Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, Massachusetts
L. Clifford McDonald
Affiliation:
Division of Healthcare Quality Promotion, the Centers for Disease Control and Prevention, Atlanta, Georgia
John Jernigan
Affiliation:
Division of Healthcare Quality Promotion, the Centers for Disease Control and Prevention, Atlanta, Georgia
Victoria J. Fraser
Affiliation:
Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
*
Division of Infectious Diseases, Washington University School of Medicine, Box 8051, 660 South Euclid, St. Louis, MO 63110 ([email protected])

Abstract

Objective.

To evaluate the impact of cases of community-onset, healthcare facility (HCF)-associated Clostridium difficile infection (CDI) on the incidence and outbreak detection of CDI.

Design.

A retrospective multicenter cohort study.

Setting.

Five university-affiliated, acute care HCFs in the United States.

Methods.

We collected data (including results of C. difficile toxin assays of stool samples) on all of the adult patients admitted to the 5 hospitals during the period from July I, 2000, through June 30, 2006. CDI cases were classified as HCF-onset if they were diagnosed more than 48 hours after admission or as community-onset, HCF-associated if they were diagnosed within 48 hours after admission and if the patient had recently been discharged from the HCF. Four surveillance definitions were compared: cases of HCF-onset CDI only (hereafter referred to as HCF-onset CDI) and cases of HCF-onset and community-onset, HCF-associated CDI diagnosed within 30, 60, and 90 days after the last discharge from the study hospital (hereafter referred to as 30-day, 60-day, and 90-day CDI, respectively). Monthly CDI rates were compared. Control charts were used to identify potential CDI outbreaks.

Results.

The rate of 30-day CDI was significantly higher than the rate of HCF-onset CDI at 2 HCFs (P < .01 ). The rates of 30-day CDI were not statistically significantly different from the rates of 60-day or 90-day CDI at any HCF. The correlations between each HCF's monthly rates of HCF-onset CDI and 30-day CDI were almost perfect (ρ range, 0.94-0.99; P < .001). Overall, 12 time points had a CDI rate that was more than 3 standard deviations above the mean, including 11 time points identified using the definition for HCF-onset CDI and 9 time points identified using the definition for 30-day CDI, with discordant results at 4 time points (k = 0.794; P < .001).

Conclusions.

Tracking cases of both community-onset and HCF-onset, HCF-associated CDI captures significantly more CDI cases, but surveillance of HCF-onset, HCF-associated CDI alone is sufficient to detect an outbreak.

Type
Original Articles
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Johnson, S, Gerding, DN. Clostridium difficile-associated diarrhea. Clin Infect Dis 1998;26:10271034.Google Scholar
2.Dubberke, ER, Reske, KA, Olsen, MA, McDonald, LC, Fraser, VJ. Short-and long-term attributable costs of Clostridium difficile-associated disease in nonsurgical inpatients. Clin Infect Dis 2008;46:497504.Google Scholar
3.Dubberke, ER, Reske, KA, Olsen, MA, et al.Evaluation of Clostridium difficile-associated disease pressure as a risk factor for C difficile-associated disease. Arch Intern Med 2007;167:10921097.Google Scholar
4.McFarland, LV, Mulligan, ME, Kwok, RY, Stamm, WE. Nosocomial acquisition of Clostridium diffirile infection. N Engl J Med 1989;320:204210.Google Scholar
5.Clabots, CR, Johnson, S, Olson, MM, Peterson, LR, Gerding, DN. Acquisition of Clostridium difficile by hospitalized patients: evidence for colonized new admissions as a source of infection. J Infect Dis 1992;166:561567.Google Scholar
6.Chang, HT, Krezolek, D, Johnson, S, Parada, JP, Evans, CT, Gerding, DN. Onset of symptoms and time to diagnosis of Clostridium diffirile-associated disease following discharge from an acute care hospital. Infect Control Hosp Epidemiol 2007;28:926931.CrossRefGoogle ScholarPubMed
7.Dubberke, ER, McMullen, KM, Mayfield, JL, et al.Hospital-associated Clostridium difficile infection: is it necessary to track community-onset disease? Infect Control Hosp Epidemiol 2009;30:332337.Google Scholar
8.Kutty, PK, Benoit, SR, Woods, CW, et al.Assessment of Clostridium difficile-associated disease surveillance definitions, North Carolina, 2005. Infect Control Hosp Epidemiol 2008;29:197202.Google Scholar
9.Palmore, TN, Sohn, S, Malak, SF, Eagan, J, Sepkowitz, KA. Risk factors for acquisition of Clostridium difficile-associated diarrhea among outpatients at a cancer hospital. Infect Control Hosp Epidemiol 2005;26:680684.Google Scholar
10.McDonald, LC, Coignard, B, Dubberke, E, Song, X, Horan, T, Kutty, PK. Recommendations for surveillance of Clostridium difficile-associated disease. Infect Control Hosp Epidemiol 2007;28:140145.CrossRefGoogle ScholarPubMed
11.Benneyan, JC. Statistical quality control methods in infection control and hospital epidemiology, part I: introduction and basic theory. Infect Control Hosp Epidemiol 1998;19:194214.CrossRefGoogle ScholarPubMed
12.Sellick, JA Jr.The use of statistical process control charts in hospital epidemiology. Infect Control Hosp Epidemiol 1993;14:649656.Google Scholar
13.Benneyan, JC. Statistical quality control methods in infection control and hospital epidemiology, part II: chart use, statistical properties, and research issues. Infect Control Hosp Epidemiol 1998;19:265283.CrossRefGoogle ScholarPubMed
14.Dubberke, ER, Reske, KA, Yan, Y, Olsen, MA, McDonald, LC, Fraser, VJ. Clostridium diffidle-associated disease in a setting of endemicity: identification of novel risk factors. Clin Infect Dis 2007;45:15431549.Google Scholar
15.Centers for Disease Control and Prevention (CDC). Severe Clostridium difficile-associated disease in populations previously at low risk—four states, 2005. MMWR Morb Mortal Wkly Rep 2005;54:12011205.Google Scholar
16.Centers for Disease Control and Prevention (CDC). Surveillance for community-associated Clostridium difficile—Connecticut, 2006. MMWR Morb Mortal Wkly Rep 2008;57:340343.Google Scholar