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. 2019 Feb 27:12:501-510.
doi: 10.2147/IDR.S194670. eCollection 2019.

Impact of a probiotic-based hospital sanitation on antimicrobial resistance and HAI-associated antimicrobial consumption and costs: a multicenter study

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Impact of a probiotic-based hospital sanitation on antimicrobial resistance and HAI-associated antimicrobial consumption and costs: a multicenter study

Elisabetta Caselli et al. Infect Drug Resist. .

Abstract

Purpose: Antimicrobial resistance (AMR) is one of the major threats to human health, and the high frequency of resistant pathogens in the hospital environment can contribute to the transmission of difficult-to-treat health care-associated infections (HAIs). We recently reported that, compared with conventional chemical cleaning, the use of a microbial-based sanitation strategy (Probiotic Cleaning Hygiene System [PCHS]) was associated with remodulation of hospital microbiota and reduction of HAI incidence. Here, we aimed to analyze the impact of PCHS on AMR and related effects, such as HAI-associated antimicrobial drug consumption and costs.

Patients and methods: Five Italian hospitals, enrolled in a multicenter study where conventional sanitation methods were replaced with PCHS, were included in the analysis. The study period included a 6-month observation for each sanitation type. Surface microbiota AMR was analyzed using microarray, nested PCR, antibiogram, and microdilution tests. Drug consumption data and related costs were obtained from the medical records of all hospitalized patients affected by HAIs.

Results: PCHS use was associated with up to 99% decrease of the AMR genes harbored by surface hospital microbiota, independently of the resistance types originally present in each individual setting (Pc <0.01). Functional assays confirmed the molecular data, demonstrating a 33%-100% decrease of resistant strains depending on the antibiotic type. Antimicrobial drug consumption associated with HAI onset showed a global 60.3% decrease, with a 75.4% decrease of the associated costs.

Conclusion: The spread of AMR in the hospital environment can be limited by the use of sanitation methods to remodulate the hospital microbiota, leading to lower antimicrobial consumption and costs. This approach might be considered as part of broader infection prevention and control strategies.

Keywords: AMR; HAI; antimicrobials; costs; drug consumption.

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Conflict of interest statement

Disclosure The authors report no conflicts of interest in this work.

Figures

Figure 1
Figure 1
Resistome analysis of the hospital surface microbiota. Notes: The resistome of the surface contaminant population was analyzed as described in the “Patients and methods” section. The results of the pre-intervention (pre-PCHS, left panels) and intervention (PCHS, right panels) phases are shown for each setting (hospitals 1, 2, 3, 4, and 5). The results of the pre-PCHS phase are expressed as the log10 fold change of each detected R gene compared with the negative controls (NTC), and the results of the PCHS phase are expressed as the log10 fold change of each detected R gene compared with the pre-PCHS phase. The plotted data are the mean values obtained in monthly environmental sampling campaigns (12 sampling campaigns) for all of the sampled points (18 sampled points per hospital per sampling campaign). Abbreviation: PCHS, Probiotic Cleaning Hygiene System.
Figure 2
Figure 2
Resistome analysis of the hospital surface microbiota during the pre-PCHS phase. Notes: The resistome of the surface contaminant population was analyzed as described in the “Patients and methods” section. The results of the pre-intervention (pre-PCHS) phase are plotted according to the prevalence of R genes. The results are the mean values for all five enrolled hospitals obtained in monthly environmental sampling campaigns (six sampling campaigns) for all of the sampled points (18 sampled points per hospital per sampling campaign). Abbreviations: PCHS, Probiotic Cleaning Hygiene System; CTR, control.

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References

    1. ECDC . Point Prevalence Survey of Healthcare-Associated Infections and Antimicrobial Use in European Acute Care Hospitals. Stockholm, Sweden: ECDC; 2013.
    1. Suetens C, Hopkins S, Kolman J, Diaz Högberg L. Point Prevalence Survey of Healthcare Associated Infections and Antimicrobial use in European Acute Care Hospitals. Stockholm, Sweden: European Centre for Disease Prevention and Control; 2013.
    1. Allegranzi B, Bagheri Nejad S, Combescure C, et al. Burden of endemic health-care-associated infection in developing countries: systematic review and meta-analysis. Lancet. 2011;377(9761):228–241. - PubMed
    1. Ferjani S, Saidani M, Amine FS, Boutiba Ben Boubaker I. A comparative study of antimicrobial resistance rates and phylogenetic groups of community-acquired versus hospital-acquired invasive Escherichia coli. Med Mal Infect. 2015;45(4):133–138. - PubMed
    1. OECD, Union E . Health at a Glance: Europe 2016: State of the Health in the EU Cycle. Paris: OECD Publishing; 2016.

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