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Antimicrobial activity of a continuous visible light disinfection system

Published online by Cambridge University Press:  30 August 2018

William A. Rutala ,
Hajime Kanamori ,
Maria F. Gergen ,
Emily E. Sickbert-Bennett ,
Daniel J. Sexton ,
Deverick J. Anderson ,
Jeffrey Laux ,
David J. Weber  and
the CDC Prevention Epicenters Program
William A. Rutala*
Affiliation:
Hospital Epidemiology, University of North Carolina Hospitals, Chapel Hill, North Carolina Division of Infectious Diseases, UNC School of Medicine, Chapel Hill, North Carolina
Hajime Kanamori
Affiliation:
Hospital Epidemiology, University of North Carolina Hospitals, Chapel Hill, North Carolina Division of Infectious Diseases, UNC School of Medicine, Chapel Hill, North Carolina Infection Control and Laboratory Diagnostics, Internal Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
Maria F. Gergen
Affiliation:
Hospital Epidemiology, University of North Carolina Hospitals, Chapel Hill, North Carolina Division of Infectious Diseases, UNC School of Medicine, Chapel Hill, North Carolina
Emily E. Sickbert-Bennett
Affiliation:
Hospital Epidemiology, University of North Carolina Hospitals, Chapel Hill, North Carolina Division of Infectious Diseases, UNC School of Medicine, Chapel Hill, North Carolina
Daniel J. Sexton
Affiliation:
Duke Infection Control Outreach Network, Division of Infectious Diseases, Duke University Medical Center, Durham, North Carolina
Deverick J. Anderson
Affiliation:
Duke Infection Control Outreach Network, Division of Infectious Diseases, Duke University Medical Center, Durham, North Carolina
Jeffrey Laux
Affiliation:
North Carolina Translational and Clinical Sciences Institute, North Carolina
David J. Weber
Affiliation:
Hospital Epidemiology, University of North Carolina Hospitals, Chapel Hill, North Carolina Division of Infectious Diseases, UNC School of Medicine, Chapel Hill, North Carolina
the CDC Prevention Epicenters Program
Affiliation:
Hospital Epidemiology, University of North Carolina Hospitals, Chapel Hill, North Carolina Division of Infectious Diseases, UNC School of Medicine, Chapel Hill, North Carolina Infection Control and Laboratory Diagnostics, Internal Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan Duke Infection Control Outreach Network, Division of Infectious Diseases, Duke University Medical Center, Durham, North Carolina North Carolina Translational and Clinical Sciences Institute, North Carolina
*
Author for correspondence: William A. Rutala, PhD, UNC School of Medicine, Division of Infectious Diseases, UNC School of Medicine, Bioinformatics Building, CB#7030, Chapel Hill, NC 27514-7030. E-mail: [email protected]
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Abstract

We evaluated the ability of high-intensity visible violet light with a peak output of 405 nm to kill epidemiologically important pathogens. The high irradiant light significantly reduced both vegetative bacteria and spores at some time points over a 72-hour exposure period.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 39 , Issue 10 , October 2018 , pp. 1250 - 1253
Copyright
© 2018 by The Society for Healthcare Epidemiology of America. All rights reserved 

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References

1. Weber, DJ, Rutala, WA, Anderson, DJ, Chen, LF, Sickbert-Bennett, EE, Boyce, JM. Effectiveness of UV devices and hydrogen peroxide systems for terminal room decontamination: focus on clinical trials. Am J Infect Control 2016;44:e77–e84.Google Scholar
2. Rutala, WA, Weber, DJ. Monitoring and improving the effectiveness of surface cleaning and disinfection. Am J Infect Control 2016;44:e69–e76.Google Scholar
3. Stiefel, U, Cadnum, JL, Eckstein, BC, Guerrero, DM, Tima, MA, Donskey, CJ. Contamination of hands with methicillin-resistant Staphylococcus aureus after contact with environmental surfaces and after contact with the skin of colonized patients. Infect Control Hosp Epidemiol 2011;32:185–187.Google Scholar
4. Carling, P. Methods for assessing the adequacy of practice and improving room disinfection. Am J Infect Control 2013;41:S20–S25.Google Scholar
5. Maclean, M, Macgregor, SJ, Anderson, JG, et al. Environmental decontamination of a hospital isolation room using high-intensity narrow-spectrum light. J Hosp Infect 2010;76:247–251.Google Scholar
6. Maclean, M, McKenzie, K, Anderson, JG, Gettinby, G, MacGregor, SJ. 405 nm light technology for the inactivation of pathogens and its potential role for environmental disinfection and infection control. J Hosp Infect 2014;88:1–11.Google Scholar
7. Bache, SE, Maclean, M, MacGregor, SJ, Anderson, JG, Gettinby, G, Coia, JE, Taggart, I. Clinical studies of the high-intensity narrow-spectrum light environmental decontamination system (HINS-light EDS) for continuous disinfection in the burn unit inpatient and outpatient settings. Burns 2012;38:69–76.Google Scholar
8. R Foundation for Statistical Computing. R: a language and environment for statistical computing. R Core Team website. https://www.R-project.org/. Published 2016. Accessed July 17, 2018.Google Scholar
9. Bates, D, Maechler, M, Bolker, B, Walker, S. Fitting linear mixed-effects models using lme4. J Statist Softw 2015;67:1–48.Google Scholar
10. Weber, DJ, Rutala, WA. Self-disinfecting surfaces: review of current methodologies and future prospects. Am J Infect Control 2013;41:S31–S35.Google Scholar