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Examining the association between hospital-onset Clostridium difficile infection and multiple-bed room exposure: a case-control study

Published online by Cambridge University Press:  31 July 2018

Alon Vaisman*
Affiliation:
Department of Epidemiology and Biostatistics, University of California–San Francisco, San Francisco, California Division of Infectious Diseases, University of Toronto, Toronto, Canada
Michael Jula
Affiliation:
Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
Jessica Wagner
Affiliation:
Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California
Lisa G. Winston
Affiliation:
Zuckerberg San Francisco General Hospital and Trauma Center, San Francisco, California Division of Infectious Diseases, University of California–San Francisco, San Francisco, California
*
Author for correspondence: Alon Vaisman, Room 5H22, Zuckerberg San Francisco General Hospital, 1001 Portero Ave 94110. E-mail: [email protected]

Abstract

Objective

To determine whether assignment to a multiple-bed room increased the risk of hospital-onset C. difficile diarrhea (HO-CDI).

Design

Case-control study.

Setting

San Francisco General Hospital and Trauma Center.

Population

Adult general medical and surgical inpatients.

Methods

Consecutive cases of HO-CDI were identified between January 1, 2010, and December 31, 2015. To investigate the effect of multiple-bed room exposure both at admission and at the time of symptom onset, 2 sets of controls were selected from the general medical/surgical inpatient population using incidence density sampling. Conditional logistic regression was used to estimate the relationship between room assignment (single bed vs multiple beds) and the development of HO-CDI.

Results

In total, 187 cases were identified and matched with 512 and 515 controls for the admission and at-diagnosis analyses, respectively. The adjusted rate ratio (RR) associated with the development HO-CDI associated with multiple-bed room exposure during the 7 and 14 days immediately prior to HO-CDI diagnosis were 1.08 (95% confidence interval [CI], 0.93–1.25; P=.31) and 0.96 (95% CI, 0.93–1.18; P=.12), respectively. Furthermore, no significant association was detected in the analysis of the first 7 and 14 days after case admission or among patients with Charlson comorbidity scores ≥4 in either period.

Conclusion

Assignment of patients to multiple-bed rooms on general medical and surgical wards was not associated with an increased risk in the development of HO-CDI. Future investigation should be performed with larger cohorts in multiple sites to more definitively address the question because this issue could have implications for patient room assignment and hospital design.

Type
Original Article
Copyright
© 2018 by The Society for Healthcare Epidemiology of America. All rights reserved. 

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Footnotes

PREVIOUS PRESENTATION. This work was previously presented as an abstract at IDWeek 2017 in San Diego, California on October 6, 2017.

Cite this article: Vaisman A, et al. (2018). Examining the association between hospital-onset Clostridium difficile infection and multiple-bed room exposure: a case-control study. Infection Control & Hospital Epidemiology 2018, 39, 1068–1073. doi: 10.1017/ice.2018.163

References

1. Lessa, FC, Mu, Y, Bamberg, WM, et al. Burden of Clostridium difficile infection in the United States. N Engl J Med 2015;372:825834.Google Scholar
2. Forster, AJ, Taljaard, M, Oake, N, Wilson, K, Roth, V, Walraven, C van. The effect of hospital-acquired infection with Clostridium difficile on length of stay in hospital. Can Med Assoc J 2012;184:3742.Google Scholar
3. Nanwa, N, Kwong, JC, Krahn, M, et al. The economic burden of hospital-acquired Clostridium difficile infection: a population-based matched cohort study. Infect Control Hosp Epidemiol 2016;37:10681078.Google Scholar
4. Shrestha, SK, Sunkesula, VCK, Kundrapu, S, Tomas, ME, Nerandzic, MM, Donskey, CJ. Acquisition of Clostridium difficile on hands of healthcare personnel caring for patients with resolved C. difficile infection. Infect Control Hosp Epidemiol 2016;37:475477.Google Scholar
5. Dubberke, ER, Carling, P, Carrico, R, et al. Strategies to prevent Clostridium difficile infections in acute care hospitals: 2014 update. Infect Control Hosp Epidemiol 2014;35:628645.Google Scholar
6. Siegel, JD, Rhinehart, E, Jackson, M, Chiarello, L, Health Care Infection Control Practices Advisory Committee. 2007 Guideline for isolation precautions: preventing transmission of infectious agents in health care settings. Am J Infect Control 2007;35:S65164.Google Scholar
7. Longtin, Y, Paquet-Bolduc, B, Gilca, R, et al. Effect of detecting and isolating Clostridium difficile carriers at hospital admission on the incidence of C difficile infections: a quasi-experimental controlled study. JAMA Intern Med 2016;176:796804.Google Scholar
8. Teltsch, DY, Hanley, J, Loo, V, Goldberg, P, Gursahaney, A, Buckeridge, DL. Infection acquisition following intensive care unit room privatization. Arch Intern Med 2011;171:3238.Google Scholar
9. Ellison, J, Southern, D, Holton, D, et al. Hospital ward design and prevention of hospital-acquired infections: a prospective clinical trial. Can J Infect Dis Med Microbiol 2014;25:265270.Google Scholar
10. Brouqui, P. Should we provide acute care in single or double room occupancy? Clin Microbiol Infect 2016;22:402.Google Scholar
11. Kyne, L, Hamel, MB, Polavaram, R, Kelly, CP. Health care costs and mortality associated with nosocomial diarrhea due to Clostridium difficile . Clin Infect Dis 2002;34:346353.Google Scholar
12. Shaughnessy, MK, Micielli, RL, DePestel, DD, et al. Evaluation of hospital room assignment and acquisition of Clostridium difficile infection. Infect Control Hosp Epidemiol 2011;32:201206.Google Scholar
13. Freedberg, DE, Salmasian, H, Cohen, B, Abrams, JA, Larson, EL. Receipt of antibiotics in hospitalized patients and risk for Clostridium difficile infection in subsequent patients who occupy the same bed. JAMA Intern Med 2016;176:18011808.Google Scholar
14. Munier-Marion, E, Bénet, T, Régis, C, Lina, B, Morfin, F, Vanhems, P. Hospitalization in double-occupancy rooms and the risk of hospital-acquired influenza: a prospective cohort study. Clin Microbiol Infect 2016;22:461 e7-461.e9.Google Scholar
15. Jensen, PA, Lambert, LA, Iademarco, MF, Ridzon, R, CDC. Guidelines for preventing the transmission of Mycobacterium tuberculosis in health-care settings 2005 Morb Mortal Wkly Rep Recomm Rep 2005;54:1141.Google Scholar
16. Gastmeier, P, Schwab, F, Geffers, C, Rüden, H. To isolate or not to isolate? Analysis of data from the German Nosocomial Infection Surveillance System regarding the placement of patients with methicillin-resistant Staphylococcus aureus in private rooms in intensive care units. Infect Control Hosp Epidemiol 2004;25:109113.Google Scholar
17. Cheng, VC, Tai, JW, Chan, W, et al. Sequential introduction of single room isolation and hand hygiene campaign in the control of methicillin-resistant Staphylococcus aureus in intensive care unit. BMC Infect Dis 2010;10:263.Google Scholar
18. Stiller, A, Salm, F, Bischoff, P, Gastmeier, P. Relationship between hospital ward design and healthcare-associated infection rates: a systematic review and meta-analysis. Antimicrob Resist Infect Control 2016;5:51.Google Scholar
19. Wilson, J, Dunnett, A, Loveday, H. Relationship between hospital ward design and healthcare associated infection rates: what does the evidence really tell us? Comment on Stiller et al. 2016. Antimicrob Resist Infect Control 2017;6:71.Google Scholar
20. Mitchell, BG, Dancer, SJ, Anderson, M, Dehn, E. Risk of organism acquisition from prior room occupants: a systematic review and meta-analysis. J Hosp Infect 2015;91:211217.Google Scholar
21. Berry, C. The patient’s perspective: we all want private hospital rooms. BMJ 2013;347:f5828.Google Scholar
22. Beurden, YH, van, Dekkers, OM, Bomers, MK, et al. An outbreak of Clostridium difficile ribotype 027 associated with length of stay in the intensive care unit and use of selective decontamination of the digestive tract: a case control study. PLOS One 2016;11:e0160778.Google Scholar
23. Pépin, J, Saheb, N, Coulombe, M-A, et al. Emergence of fluoroquinolones as the predominant risk factor for Clostridium difficile–associated diarrhea: a cohort study during an epidemic in Quebec. Clin Infect Dis 2005;41:12541260.Google Scholar
24. Debast, SB, Vaessen, N, Choudry, A, Wiegers-Ligtvoet, EaJ, van den Berg, RJ, Kuijper, EJ. Successful combat of an outbreak due to Clostridium difficile PCR ribotype 027 and recognition of specific risk factors. Clin Microbiol Infect 2009;15:427434.Google Scholar
25. 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
26. Ponnada, S, Guerrero, DM, Jury, LA, et al. Acquisition of Clostridium difficile colonization and infection after transfer from a Veterans Affairs hospital to an affiliated long-term care facility. Infect Control Amp Hosp Epidemiol 2017;38:10701076.Google Scholar
27. Al-Tureihi, FIJ, Hassoun, A, Wolf-Klein, G, Isenberg, H. Albumin, length of stay, and proton pump inhibitors: key factors in Clostridium difficile-associated disease in nursing home patients. J Am Med Dir Assoc 2005;6:105108.Google Scholar
28. Caroff, DA, Yokoe, DS, Klompas, M. Evolving insights into the epidemiology and control of Clostridium difficile in hospitals. Clin Infect Dis 2017;65:12321238.Google Scholar
29. Khanna, S, Gupta, A, Baddour, LM, Pardi, DS. Epidemiology, outcomes, and predictors of mortality in hospitalized adults with Clostridium difficile infection. Intern Emerg Med 2016;11:657665.Google Scholar
30. Lippman, SA, Moran, L, Sevelius, J, et al. Acceptability and feasibility of HIV self-testing among transgender women in San Francisco: a mixed methods pilot study. AIDS Behav 2016;20:928938.Google Scholar