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Role of pulsed-xenon ultraviolet light in reducing healthcare-associated infections: a systematic review and meta-analysis

Published online by Cambridge University Press:  06 July 2020

Zhenhong Dong
Affiliation:
Department of Neurosurgery, Zaozhuang Municipal Hospital, Zaozhuang277101, Shandong Province, P.R. China
Na Zhou
Affiliation:
Department of Comprehensive Internal Medicine, Zaozhuang Hospital of Traditional Chinese Medicine, Zaozhuang 277100, Shandong Province, P.R. China
Guijuan Liu
Affiliation:
Department of Neurosurgery, Zaozhuang Municipal Hospital, Zaozhuang277101, Shandong Province, P.R. China
Li Zhao*
Affiliation:
Department of Emergency, Zaozhuang Municipal Hospital, Zaozhuang277101, Shandong Province, P.R. China
*
Author for correspondence: Li Zhao, E-mail: [email protected]
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Abstract

Pulsed-xenon-ultraviolet light (PX-UVL) is increasingly used as a supplemental disinfection method in healthcare settings. We undertook a systematic search of the literature through several databases and conducted a meta-analysis to evaluate the efficacy of PX-UVL in reducing healthcare-associated infections. Eleven studies were included in the systematic review and nine in the meta-analysis. Pooled analysis of seven studies with before-after data indicated a statistically significant reduction of Clostridium difficile infection (CDI) rates with the use of the PX-UVL (incidence rate ratio (IRR): 0.73, 95% CI 0.57–0.94, I2 = 72%, P = 0.01), and four studies reported a reduction of risk of methicillin-resistant Staphylococcus aureus (MRSA) infections (IRR: 0.79, 95% CI 0.64–0.98, I2 = 35%, P = 0.03). However, a further four trials found no significant reduction in vancomycin-resistant enterococci (VRE) infection rates (IRR: 0.80, 95% CI 0.63–1.01, I2 = 60%, P = 0.06). The results for CDI and MRSA proved unstable on sensitivity analysis. Meta-regression analysis did not demonstrate any influence of study duration or intervention duration on CDI rates. We conclude that the use of PX-UVL, in addition to standard disinfection protocols, may help to reduce the incidence of CDI and MRSA but not VRE infection rates. However, the quality of evidence is not high, with unstable results and wide confidence intervals, and further high-quality studies are required to supplement the current evidence.

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

Introduction

Healthcare-associated infections (HAIs) are a significant problem contributing to increased mortality, prolonged hospital stay and higher healthcare costs [Reference Sheng1]. According to a multistate point prevalence survey in the USA, around 648 000 to 1.7 million hospitalised patients were affected by HAI in a single year [Reference Magill2]. A recent systematic review suggests the prevalence of HAI is 3.12% in mainland China, with rates as high as 26.07% in adult intensive care units (ICUs) [Reference Wang3]. Considering the magnitude of the problem, several studies have examined various methods of reducing the incidence of HAI [Reference Harbarth4Reference Assanasen, Edmond and Bearman7]. Notably, an overview of the literature by Harbarth et al. [Reference Harbarth, Sax and Gastmeier8] concluded that active interventions can reduce HAI from 10% to 70%, depending on the healthcare setting, study design and baseline infection rates.

Contaminated hospital surfaces and medical equipment are important sources of pathogen transmission in any healthcare facility. It is generally acknowledged that organisms such as methicillin-resistant Staphylococcus aureus (MRSA), vancomycin-resistant enterococci (VRE), Pseudomonas spp., Acinetobacter spp. and several viruses can survive for days to weeks on dry inanimate surfaces; spores of Clostridium difficile may persist on environmental surfaces for several months [Reference Boyce9, Reference Weber, Anderson and Rutala10]. While surface cleaning by chemical germicides is widely used by hospitals, the thoroughness of such cleaning is questionable as studies indicate that fewer than half of hospital surfaces are adequately cleaned by manual methods [Reference Carling11, Reference Goodman12]. To overcome these limitations, ‘no-touch’ disinfection methods using hydrogen peroxide and ultraviolet light (UVL) have been introduced in the past decade [Reference Marra, Schweizer and Edmond13]. UVL devices use either mercury bulbs emitting continuous radiation (UV-C) of wavelength 200–270 nm or, more recently, xenon gas bulbs which emit radiation in short high-intensity pulses encompassing both UVL (100–280 nm) and visible (380–700 nm) spectra [Reference Weber, Anderson and Rutala10, Reference Nerandzic14]. The latter is known as the pulsed-xenon-UVL system (PX-UVL).

Several studies have shown that both UV-C and PX-UVL systems are effective at reducing surface contamination [Reference Yang15Reference El Haddad17]. A recent meta-analysis of 13 UVL studies by Marra et al. [Reference Marra, Schweizer and Edmond13] has demonstrated that the introduction of UVL disinfection may help reduce the incidence of C. difficile infection (CDI) and VRE infections in healthcare settings. The review, however, had several limitations, the foremost being that studies utilising both UV-C and PX-UVL were combined for the analysis. Nerandzic et al. [Reference Nerandzic14] have shown that PX-UV may be less effective than UV-C in reducing MRSA, VRE and C. difficile spore count on similar surfaces when used for the same time at an equal distance. Similarly, errors of data entry and combining studies with duplicate data may also have led to inaccuracies in the analysis. As a consequence, results of individual studies on the role of PX-UVL in reducing HAI rates are conflicting. While Levin et al. [Reference Levin18] found a significant reduction of HAI rates after the introduction of PX-UVL, no such effect was noted by a recent study of Attia et al. [Reference Attia19]. In the absence of any other pooled evidence, it is not known if PX-UVL systems can contribute to a reduction in HAI. Therefore, the purpose of our study was to systematically search the literature for studies assessing the efficacy of PX-UVL in reducing HAI and conduct an accurate meta-analysis to provide high-level evidence.

Materials and methods

Search strategy

The PRISMA guidelines (Preferred Reporting Items for Systematic Reviews and Meta-analyses) [Reference Moher20], except for protocol registration, were followed for this systematic review. We searched computer databases such as PubMed, Embase, Scopus, BioMed Central and Cochrane library up to 2 February 2020. The detailed search strategy used for the PubMed database is presented in Supplementary content 1. The search was conducted by two reviewers independently. Literature results were screened by titles and abstracts, and full texts of relevant articles were extracted. Both reviewers assessed individual articles based on the inclusion and exclusion criteria, and any disagreements were resolved by discussion. Post-screening, the bibliography of included studies, as well as review articles on the subject were searched manually for any missed articles.

Inclusion criteria

We included studies that met the following criteria: (1) they were conducted in any health-care setting (academic, community, tertiary care hospitals, etc.) and (2) had assessed the efficacy of PX-UVL for the reduction of the incidence of HAI. Studies were included irrespective of sample size and language of publication. No restriction was placed on the type of patients included or the site of intervention. HAI was defined as per the included study and no condition was placed on the inclusion of specific infections. Randomised controlled trials (RCTs), non-randomised trials, controlled and uncontrolled before-after studies were included. We excluded studies assessing the effect of other UVL devices on HAI, and those evaluating the efficacy of PX-UVL combined with other infection control measures were also excluded. We did not include studies analysing the effect of PX-UVL on reducing surface contamination. In cases of publications with duplicate data, the study with the largest database was selected.

Data extraction and risk of bias

Two reviewers extracted data from the included studies independently. Data regarding authors, publication year, study type, its duration and location, intervention site, baseline disinfection methods, the protocol of PX-UVL, study outcomes and study results were extracted. The outcome of interest was a reduction in the incidence of HAI with the use of PX-UVL. The RoBANS tool was used to assess the risk of bias for non-randomised studies [Reference Kim21]. The criteria for assessing the risk of bias included: patient selection, confounding factors, measurement of exposure, blinding of outcome assessment, incomplete outcome data and selective reporting.

Statistical analysis

‘Review Manager’ (RevMan, version 5.3; Nordic Cochrane Centre (Cochrane Collaboration), Copenhagen, Denmark; 2014) was used for the meta-analysis. HAI data were presented as incidence rates in the included studies. Incidence rate ratios (IRR) were calculated with 95% confidence intervals (CIs) using the ‘fmsb’ package of statistical software R (V.3.5.1) (The R Foundation for Statistical Computing, Vienna, Austria). Data on the number of HAI cases and total person-days were extracted for the calculation of IRR. Study estimates were then combined using inverse variance-weighted averages of logarithmic IRRs in a random-effects model. We conducted a meta-analysis only where at least three studies reported data for the same outcome. Heterogeneity in the analysis was assessed using the I 2 statistic. I 2 values of 25–50% represented low, 50–75% medium and >75% r substantial heterogeneity. P-values of <0.05 were considered statistically significant. A sensitivity analysis was carried out to assess the influence of each study on the pooled effect size. Due to the inclusion of fewer than 10 studies in the meta-analysis, funnel plots were not used to assess publication bias. A random-model meta-regression analysis was performed for meta-analyses including more than five studies using meta-essentials [Reference Suurmond, van Rhee and Hak22]. The influence of the duration of the study and the duration of the intervention period on the log-transformed values of IRR was assessed.

Results

Search results and study characteristics

A PRISMA flowchart of the study is presented in Figure 1. Fifteen articles were selected for full-text analysis after the literature search. Four studies were excluded as, two did not utilise PX-UVL systems [Reference Pegues23, Reference Anderson24], one reported overlapping data [Reference Nagaraja25] with an included study [Reference Haas26] and the other assessed the combination of screening, hand hygiene education and PX-UVL on HAI rates [Reference Simmons27]. A total of 11 studies were included in the systematic review [Reference Levin18, Reference Attia19, Reference Haas26, Reference Morikane28Reference Green35].

Fig. 1. PRISMA flow chart of the study.

Baseline details of the included studies are presented in Table 1. Except for a recent study in Japan [Reference Morikane28], all trials were conducted in the USA; 10 were uncontrolled before-after studies and one was a controlled clinical trial [Reference Sampathkumar29]. However, to maintain homogeneity, before-after data of only the intervention arm were extracted for the meta-analysis from this study. The duration of studies varied from 18 to 52 months and were conducted in different healthcare facilities including tertiary care [Reference Attia19, Reference Haas26, Reference Morikane28, Reference Sampathkumar29, Reference Brite31], community [Reference Levin18, Reference Vianna30, Reference Catalanotti32], long-term care hospitals [Reference Kovach33, Reference Miller34] and a burn centre [Reference Green35]. The intervention site varied amongst studies with use of PX-UVL systems in all patient rooms [Reference Levin18, Reference Kovach33Reference Green35], operating rooms [Reference Levin18, Reference Haas26, Reference Catalanotti32, Reference Green35], ICUs [Reference Attia19, Reference Morikane28, Reference Vianna30], contact precaution rooms [Reference Haas26, Reference Vianna30], haematological or bone marrow transplant (BMT) units [Reference Attia19, Reference Sampathkumar29, Reference Brite31], paediatric units [Reference Attia19], medical–surgical units [Reference Attia19, Reference Sampathkumar29], dialysis unit [Reference Haas26] and burn units [Reference Haas26, Reference Green35]. Baseline disinfection protocols were reported to be similar during the pre-intervention and post-intervention period in all trials. PX-UVL was utilised after baseline cleaning in all studies; the majority used 5-min cycles of PX-UVL for disinfection of hospital rooms and the number of cycles varied from 2 to 4. Except for three studies [Reference Attia19, Reference Brite31, Reference Green35], all trials reported a significant reduction in HAI rates after the use of PX-UVL in their establishment.

Table 1. Characteristics of included studies

PX-UVL, pulsed-xenon-ultraviolet light; ICU, intensive care unit; HAI, Healthcare-associated infection; CDI, Clostridium difficile infection; MDRO, multidrug-resistant organism; VRE, vancomycin-resistant enterococci; MRSA, methicillin-resistant Staphylococcus aureus; MDR, multi-drug-resistant; CLABSI, central line associated bloodstream infection; CAUTI, catheter associated urinary tract infection; VAP, ventilator associated pneumonia; BMT, bone marrow transplant

Outcomes

While all studies compared the incidence of HAI before and after the introduction of PX-UVL, there was variation in the type of HAI analysed. Based on the availability of data, a meta-analysis was conducted for healthcare-associated CDI, MRSA and VRE infections. Catalanotti et al. [Reference Catalanotti32] in their study of operating rooms reported the incidence of surgical site infections only while Kovach et al. [Reference Kovach33] cited cumulative HAI rates in a 160-bed long-term care facility, irrespective of the organism. Although both reported a significant reduction in infection rates, these studies were not included in the meta-analysis.

Analysis

A total of seven studies reported data on CDI rates [Reference Levin18, Reference Attia19, Reference Haas26, Reference Sampathkumar29Reference Brite31, Reference Miller34]. Pooled analysis indicated a significant reduction of CDI rates with the use of PX-UVL (IRR: 0.73, 95% CI 0.57–0.94, I 2 = 72%, P = 0.01) (Fig. 2). On the pooling of data from four studies on MRSA infection rates [Reference Haas26, Reference Morikane28, Reference Vianna30, Reference Green35], our analysis indicated that PX-UVL reduces the risk of healthcare-associated MRSA infections (IRR: 0.79, 95% CI 0.64–0.98, I 2 = 35%, P = 0.03) (Fig. 3). In contrast, a similar pool of four trials [Reference Haas26, Reference Sampathkumar29Reference Brite31] revealed no significant reduction in VRE infection rates (IRR: 0.80, 95% CI 0.63–1.01, I 2 = 60%, P = 0.06) (Fig. 4).

Fig. 2. Forest plot of IRRs of CDI for PX-UVL vs. control.

Fig. 3. Forest plot of IRRs of MRSA infection for PX-UVL vs. control.

Fig. 4. Forest plot of IRRs of VRE infection for PX-UVL vs. control.

The sensitivity analysis is shown in Table 2. For CDI, the results became statistically non-significant on the exclusion of the studies of Miller et al. [Reference Miller34] and Vianna et al. [Reference Vianna30]. Similarly, exclusion of the studies of Haas et al. [Reference Haas26] and Morikane et al. [Reference Morikane28] from MRSA analysis, resulted in a change in the significance of effect size which indicated no benefit of PX-UVL in reducing MRSA infection rates. VRE infection rates were stable on sensitivity analysis. Meta-regression analysis for the moderator ‘duration of study’ on CDI did not demonstrate any significant influence on the effect size (β:−0.01, 95% CI −0.03 to 0.02, P = 0.48) (Fig. 5). Similarly, no significant influence was seen on the ‘duration of intervention period’ on CDI rates (β:−0.003, 95% CI −0.065 to 0.058, P = 0.89) (Fig. 6).

Fig. 5. Meta-regression plot for influence of moderator ‘study duration’ on log of IRRs of CDI.

Fig. 6. Meta-regression plot for influence of moderator ‘intervention duration’ on log of IRRs of CDI.

Table 2. Results of sensitivity analysis on sequential exclusion of each study

IRR, incidence rate ratio; MDRO, multidrug-resistant; MRSA, methicillin-resistant Staphylococcus aureus; VRE, vancomycin-resistant enterococci.

Results with change in significance of effect size from the primary analysis are highlighted in bold.

Risk of bias

The risk of bias assessment of included studies is presented in Table 3. All studies included a similar patient population in the same setting. Confounding factors such as hand hygiene compliance and efficiency of baseline cleaning was reported only by Brite et al. [Reference Brite31]. Due to the study design, none of the trials was blinded. Less than 90% compliance with PX-UVL systems was reported by four studies [Reference Levin18, Reference Haas26, Reference Sampathkumar29, Reference Brite31]. Since none of the included studies had a pre-defined protocol, selective reporting could not be evaluated.

Table 3. Risk of bias in included studies

Discussion

To augment manual cleaning of hospital surfaces, ‘no-touch’ systems like PX-UVL have been developed to reduce the incidence of HAI. Our meta-analysis indicates that the use of PX-UVL may reduce the incidence of healthcare-associated CDI and MRSA infections but has no demonstrable effect in reducing VRE infection rates.

The PX-UVL device has been marketed as an efficient germicidal appliance capable of significantly reducing surface contamination with pathogens. A high-intensity UVL is delivered in millisecond pulses which is capable of damaging DNA, RNA and proteins of bacteria, viruses and spores. Four mechanisms are suggested for its action namely, photohydration (pulling water molecules into the DNA), photo-splitting (breaking the DNA), photodimerisation (improper fusing of DNA bases) which prevents cell replication; and photocrosslinking which causes irreversible cell wall damage and cell death [Reference Kovach33]. UV-C devices also act by inducing DNA and RNA damage to prevent microbial replication [Reference Dai36]. There are, however, some differences between the two devices. Since PX-UVL does not contain mercury, safety hazards related to mercury exposure are reduced. Similarly, the manufacturer recommended disinfection cycle is shorter for PX-UVL as compared to UV-C devices (10–20 vs. 45 min) [Reference Nerandzic14]. Organic matter does not appear to influence the penetration of PX-UVL [Reference Otaki37], but the efficiency of UV-C for the killing of spores is modestly reduced in the presence of organic matter [Reference Otaki37]. On the other hand, UV-C may be more efficient in reducing pathogens on glass slides than PX-UVL [Reference Nerandzic14]. In the absence of comparative studies of PX-UVL vs. UV-C in real-world clinical scenarios, it is not known if such differences have any effect on HAI rates.

Owing to these documented dissimilarities between the two systems, this review was focused exclusively on evaluating the efficacy of PX-UVL for reducing HAI. Our analysis indicated a 27% reduced risk of CDI when PX-UVL was supplemented with standard cleaning. However, the CIs of the calculated risk ratio were wide-ranging from 6% to 43%; also, results were not stable on sensitivity analysis after the exclusion of two studies which individually resulted in a change in statistical significance of the result. The previous meta-analysis of a combination of UV-C and PX-UVL also demonstrated a 36% (95% CI 16–51) reduced risk of CDI infections [Reference Marra, Schweizer and Edmond13]. However, on closer inspection, the latter had included the study of Nagaraja et al. [Reference Nagaraja25] which is a further analysis of an already included trial of Haas et al. [Reference Haas26]. Moreover, there were inaccuracies in calculating the IRR of several studies in their analysis which resulted in wide CIs. For example, the calculated IRR of Vianna et al. [Reference Vianna30] in the analysis was 0.59% (95% CI 0.02–20.25) when the correct calculation based on the number of cases and the total number of person-days is 0.59 (95% CI 0.41–0.86). We believe the IRR was calculated in their study based on the incidence rate per 1000 days which resulted in the said errors.

PX-UVL was found to significantly reduce the risk of MRSA but not of VRE. Meta-analysis indicated a 21% reduced risk of MRSA infections with the use of PX-UVL, albeit with a wide CI (2–36%). These results were also unstable on sensitivity analysis with exclusion of two of the four included studies resulting in no statistical difference. The inconsistency and instability of our results may partly be explained by the limited number of studies available for analysis. Also, the results of the 11 studies were conflicting with three trials [Reference Attia19, Reference Brite31, Reference Green35] reporting no significant difference in HAI rates. Since the latter studies were of shorter duration (18–21 months), a meta-regression analysis was conducted to assess the influence of study duration and intervention arm duration on the effect size; no impact of these moderators was evident for CDI.

It is important to note that all our results are based on data of before-after studies. To date, only one RCT [Reference Anderson24] has evaluated the efficacy of UVL for reducing HAI. This was a multi-centric crossover trial in nine hospitals in the USA that evaluated the role of a UV-C device in reducing MRSA, VRE and CDI. While there was a significant reduction of VRE infections with the combined use of bleach and UV-C, no difference was noted for MRSA and CDI when this combination was compared to bleach cleaning alone. The lack of additional effectiveness of UV-C in their study was attributed to higher compliance of baseline bleach cleaning (90%) and the use of a single cycle of UV-C placed adjacent to, but outside the bathroom. In the only controlled trial of PX-UVL, Sampathkumar et al. [Reference Sampathkumar29] reported a statistically significant reduction of CDI and VRE infection rates in their hospital units utilising PX-UVL compared with similar units not employing the disinfection system. The machines of their study were donated by the equipment manufacturer.

There are certain disadvantages of PX-UVL systems which may hinder widespread use in healthcare settings. Foremost, they are expensive and require additional training and manpower for routine use [Reference Sampathkumar29]. Also, the appliance emits an intense light and sound when in use which may be unacceptable to patients and healthcare workers. It is therefore recommended to be used in empty rooms [Reference Morikane28]. This may be feasible in hospitals employing private rooms for all patients but is unlikely to be practicable in lower-income countries where hospital rooms are usually shared. Use of the device after standard disinfection protocols increases the total time of disinfection per room, however, reports suggest it to be insignificant [Reference Morikane28, Reference Sampathkumar29]. The disinfection efficacy of PX-UVL is dramatically reduced as the distance from the device increases [Reference Nerandzic14] and high-touch surfaces need to be brought closer to the apparatus for optimal disinfection. There is also a potential negative impact of shadows, room size and configuration on the disinfection efficiency [Reference Attia19].

The limitations of our review need to be considered. First, none of the included studies were RCTs and only before-after data were analysed. A comparison with a historical control group does not take into account changes in hospital practices over time. Second, there were variations in the study locations, intervention site and baseline standard disinfection methods employed in the included studies. The incidence of HAI can vary in different hospital sites with generally a higher incidence in ICUs and operating rooms compared with single-patient rooms [Reference Wang3]. The varied patient population in the included studies can also influence HAI rates. Burns and cancer patients have reduced immunity and are more prone to HAI compared to patients without comorbidities [Reference Brite31, Reference Green35]. Third, many other factors impact on HAI rates such as the use of active surveillance, hand hygiene compliance, efficiency of standard disinfection protocols and compliance with the PX-UVL protocol, among others. Finally, the majority of the studies in our analysis were conducted in the USA; differences in healthcare systems and protocols between the USA and other countries could therefore limit the applicability of our findings worldwide. Nevertheless, our study is the first meta-analysis which exclusively assesses the efficacy of PX-UVL in reducing HAI. In comparison with a previous study [Reference Marra, Schweizer and Edmond13], we were able to exclude duplicate datasets and add four new studies which served to provide an accurate and more comprehensive review.

Our study indicates that the use of PX-UVL in addition to standard disinfection protocols may help reduce the incidence of CDI and MRSA, but not VRE infection rates. The quality of evidence is not high and compromised by unstable results and wide CIs. Further high-quality studies are required to supplement current evidence.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S095026882000148X

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

References

Sheng, WH et al. (2005) Comparative impact of hospital-acquired infections on medical costs, length of hospital stay and outcome between community hospitals and medical centres. Journal of Hospital Infection 59, 205214.CrossRefGoogle ScholarPubMed
Magill, SS et al. (2014) Multistate point-prevalence survey of health care-associated infections. New England Journal of Medicine 370, 11981208.CrossRefGoogle ScholarPubMed
Wang, J et al. (2018) The prevalence of healthcare-associated infections in mainland China: a systematic review and meta-analysis. Infection Control and Hospital Epidemiology 39, 701709.CrossRefGoogle ScholarPubMed
Harbarth, S et al. (2002) Interventional study to evaluate the impact of an alcohol-based hand gel in improving hand hygiene compliance. Pediatric Infectious Disease Journal 21, 489495.CrossRefGoogle ScholarPubMed
Pittet, D (2001) Compliance with hand disinfection and its impact on hospital-acquired infections. Journal of Hospital Infection 48(suppl. A), S40S46.CrossRefGoogle ScholarPubMed
Lei, H, Jones, RM and Li, Y (2017) Exploring surface cleaning strategies in hospital to prevent contact transmission of methicillin-resistant Staphylococcus aureus. BMC Infectious Diseases 17, 85.CrossRefGoogle ScholarPubMed
Assanasen, S, Edmond, M and Bearman, G (2008) Impact of 2 different levels of performance feedback on compliance with infection control process measures in 2 intensive care units. American Journal of Infection Control 36, 407413.CrossRefGoogle ScholarPubMed
Harbarth, S, Sax, H and Gastmeier, P (2003) The preventable proportion of nosocomial infections: an overview of published reports. Journal of Hospital Infection 54, 258266.CrossRefGoogle ScholarPubMed
Boyce, JM (2007) Environmental contamination makes an important contribution to hospital infection. Journal of Hospital Infection 65(suppl. 2), 5054.CrossRefGoogle ScholarPubMed
Weber, DJ, Anderson, D and Rutala, WA (2013) The role of the surface environment in healthcare-associated infections. Current Opinion in Infectious Diseases 26, 338344.CrossRefGoogle ScholarPubMed
Carling, PC et al. (2008) Identifying opportunities to enhance environmental cleaning in 23 acute care hospitals. Infection Control and Hospital Epidemiology 29, 17.CrossRefGoogle ScholarPubMed
Goodman, ER et al. (2008) Impact of an environmental cleaning intervention on the presence of methicillin-resistant Staphylococcus aureus and vancomycin-resistant enterococci on surfaces in intensive care unit rooms. Infection Control and Hospital Epidemiology 29, 593599.CrossRefGoogle ScholarPubMed
Marra, AR, Schweizer, ML and Edmond, MB (2018) No-touch disinfection methods to decrease multidrug-resistant organism infections: a systematic review and meta-analysis. Infection Control and Hospital Epidemiology 39, 2031.CrossRefGoogle ScholarPubMed
Nerandzic, MM et al. (2015) Evaluation of a pulsed xenon ultraviolet disinfection system for reduction of healthcare-associated pathogens in hospital rooms. Infection Control and Hospital Epidemiology 36, 192197.CrossRefGoogle ScholarPubMed
Yang, J-H et al. (2019) Effectiveness of an ultraviolet-C disinfection system for reduction of healthcare-associated pathogens. Journal of Microbiology, Immunology, and Infection 52, 487493.CrossRefGoogle ScholarPubMed
Hosein, I et al. (2016) Evaluation of a pulsed xenon ultraviolet light device for isolation room disinfection in a United Kingdom hospital. American Journal of Infection Control 44, e157e161.CrossRefGoogle Scholar
El Haddad, L et al. (2017) Evaluation of a pulsed xenon ultraviolet disinfection system to decrease bacterial contamination in operating rooms. BMC Infectious Diseases 17, 672.CrossRefGoogle ScholarPubMed
Levin, J et al. (2013) The effect of portable pulsed xenon ultraviolet light after terminal cleaning on hospital-associated Clostridium difficile infection in a community hospital. American Journal of Infection Control 41, 746748.CrossRefGoogle Scholar
Attia, F et al. (2013) The effect of pulsed xenon ultraviolet light disinfection on healthcare-associated Clostridioides difficile rates in a tertiary care hospital. American Journal of Infection Control 2020; Published online: 22 January 2020. doi: 10.1016/j.ajic.2019.12.019.Google Scholar
Moher, D et al. (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Medicine 6.CrossRefGoogle ScholarPubMed
Kim, SY et al. (2013) Testing a tool for assessing the risk of bias for nonrandomized studies showed moderate reliability and promising validity. Journal of Clinical Epidemiology 66, 408414.CrossRefGoogle ScholarPubMed
Suurmond, R, van Rhee, H and Hak, T (2017) Introduction, comparison, and validation of meta-essentials: a free and simple tool for meta-analysis. Research Synthesis Methods 8, 537553.CrossRefGoogle ScholarPubMed
Pegues, DA et al. (2017) Impact of ultraviolet germicidal irradiation for no-touch terminal room disinfection on Clostridium difficile infection incidence among hematology-oncology patients. Infection Control and Hospital Epidemiology 38, 3944.CrossRefGoogle ScholarPubMed
Anderson, DJ et al. (2017) Enhanced terminal room disinfection and acquisition and infection caused by multidrug-resistant organisms and Clostridium difficile (the benefits of enhanced terminal room disinfection study): a cluster-randomised, multicentre, crossover study. Lancet (London, England) 389, 805814.CrossRefGoogle ScholarPubMed
Nagaraja, A et al. (2015) Clostridium difficile infections before and during use of ultraviolet disinfection. American Journal of Infection Control 43, 940945.CrossRefGoogle ScholarPubMed
Haas, JP et al. (2014) Implementation and impact of ultraviolet environmental disinfection in an acute care setting. American Journal of Infection Control 42, 586590.CrossRefGoogle Scholar
Simmons, S et al. (2013) Impact of a multi-hospital intervention utilising screening, hand hygiene education and pulsed xenon ultraviolet (PX-UV) on the rate of hospital associated methicillin resistant Staphylococcus aureus infection. Journal of Infection Prevention 14, 172174.CrossRefGoogle Scholar
Morikane, K et al. (2020) Clinical and microbiological effect of pulsed xenon ultraviolet disinfection to reduce multidrug-resistant organisms in the intensive care unit in a Japanese hospital: a before-after study. BMC Infectious Diseases 20, 82.CrossRefGoogle Scholar
Sampathkumar, P et al. (2019) A trial of pulsed xenon ultraviolet disinfection to reduce Clostridioides difficile infection. American Journal of Infection Control 47, 406408.CrossRefGoogle ScholarPubMed
Vianna, PG et al. (2016) Impact of pulsed xenon ultraviolet light on hospital-acquired infection rates in a community hospital. American Journal of Infection Control 44, 299303.CrossRefGoogle Scholar
Brite, J et al. (2018) Effectiveness of ultraviolet disinfection in reducing hospital-acquired Clostridium difficile and vancomycin-resistant Enterococcus on a bone marrow transplant unit. Infection Control and Hospital Epidemiology 39, 13011306.CrossRefGoogle ScholarPubMed
Catalanotti, A et al. (2016) Influence of pulsed-xenon ultraviolet light-based environmental disinfection on surgical site infections. American Journal of Infection Control 44, e99e101.CrossRefGoogle ScholarPubMed
Kovach, CR et al. (2017) Evaluation of an ultraviolet room disinfection protocol to decrease nursing home microbial burden, infection and hospitalization rates. BMC Infectious Diseases 17, 186.CrossRefGoogle ScholarPubMed
Miller, R et al. (2015) Utilization and impact of a pulsed-xenon ultraviolet room disinfection system and multidisciplinary care team on Clostridium difficile in a long-term acute care facility. American Journal of Infection Control 43, 13501353.CrossRefGoogle Scholar
Green, C et al. (2017) Pulsed-xenon ultraviolet light disinfection in a burn unit: impact on environmental bioburden, multidrug-resistant organism acquisition and healthcare associated infections. Burns: Journal of the International Society for Burn Injuries 43, 388396.CrossRefGoogle Scholar
Dai, T et al. (2012) Ultraviolet C irradiation: an alternative antimicrobial approach to localized infections? Expert Review of Anti-infective Therapy 10, 185195.CrossRefGoogle ScholarPubMed
Otaki, M, et al. (2003) Inactivation differences of microorganisms by low pressure UV and pulsed xenon lamps. Water Science and Technology 47, 185190.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. PRISMA flow chart of the study.

Figure 1

Table 1. Characteristics of included studies

Figure 2

Fig. 2. Forest plot of IRRs of CDI for PX-UVL vs. control.

Figure 3

Fig. 3. Forest plot of IRRs of MRSA infection for PX-UVL vs. control.

Figure 4

Fig. 4. Forest plot of IRRs of VRE infection for PX-UVL vs. control.

Figure 5

Fig. 5. Meta-regression plot for influence of moderator ‘study duration’ on log of IRRs of CDI.

Figure 6

Fig. 6. Meta-regression plot for influence of moderator ‘intervention duration’ on log of IRRs of CDI.

Figure 7

Table 2. Results of sensitivity analysis on sequential exclusion of each study

Figure 8

Table 3. Risk of bias in included studies

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