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Hammond EN, Kates AE, Putman-Buehler N, Watson L, Godfrey JJ, Brys N, Deblois C, Steinberger AJ, Cox MS, Skarlupka JH, Haleem A, Bentz ML, Suen G, Safdar N. A quality improvement study on the relationship between intranasal povidone-iodine and anesthesia and the nasal microbiota of surgery patients. PLoS One 2022; 17:e0278699. [PMID: 36490265 PMCID: PMC9733847 DOI: 10.1371/journal.pone.0278699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/22/2022] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION The composition of the nasal microbiota in surgical patients in the context of general anesthesia and nasal povidone-iodine decolonization is unknown. The purpose of this quality improvement study was to determine: (i) if general anesthesia is associated with changes in the nasal microbiota of surgery patients and (ii) if preoperative intranasal povidone-iodine decolonization is associated with changes in the nasal microbiota of surgery patients. MATERIALS AND METHODS One hundred and fifty-one ambulatory patients presenting for surgery were enrolled in a quality improvement study by convenience sampling. Pre- and post-surgery nasal samples were collected from patients in the no intranasal decolonization group (control group, n = 54). Pre-decolonization nasal samples were collected from the preoperative intranasal povidone-iodine decolonization group (povidone-iodine group, n = 97). Intranasal povidone-iodine was administered immediately prior to surgery and continued for 20 minutes before patients proceeded for surgery. Post-nasal samples were then collected. General anesthesia was administered to both groups. DNA from the samples was extracted for 16S rRNA sequencing on an Illumina MiSeq. RESULTS In the control group, there was no evidence of change in bacterial diversity between pre- and post-surgery samples. In the povidone-iodine group, nasal bacterial diversity was greater in post-surgery, relative to pre-surgery (Shannon's Diversity Index (P = 0.038), Chao's richness estimate (P = 0.02) and Inverse Simpson index (P = 0.027). Among all the genera, only the relative abundance of the genus Staphylococcus trended towards a decrease in patients after application (FDR adjusted P = 0.06). Abundant genera common to both povidone-iodine and control groups included Staphylococcus, Bradyrhizobium, Corynebacterium, Dolosigranulum, Lactobacillus, and Moraxella. CONCLUSIONS We found general anesthesia was not associated with changes in the nasal microbiota. Povidone-iodine treatment was associated with nasal microbial diversity and decreased abundance of Staphylococcus. Future studies should examine the nasal microbiota structure and function longitudinally in surgical patients receiving intranasal povidone-iodine.
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Affiliation(s)
- Eric N. Hammond
- Institute for Clinical and Translational Research, University of Wisconsin-Madison, Madison, WI, United States of America
- Division of Infectious Disease, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
| | - Ashley E. Kates
- Division of Infectious Disease, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States of America
| | - Nathan Putman-Buehler
- Department of Biochemistry, College of Agricultural and Life Sciences, University of Wisconsin-Madison, Madison, WI, United States of America
| | - Lauren Watson
- SSM Health, St. Mary’s Hospital, Madison, WI, United States of America
| | - Jared J. Godfrey
- Division of Infectious Disease, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States of America
| | - Nicole Brys
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States of America
| | - Courtney Deblois
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, United States of America
- Microbiology Doctoral Training Program, University of Wisconsin-Madison, Madison, WI, United States of America
| | - Andrew J. Steinberger
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, United States of America
- Microbiology Doctoral Training Program, University of Wisconsin-Madison, Madison, WI, United States of America
| | - Madison S. Cox
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, United States of America
- Microbiology Doctoral Training Program, University of Wisconsin-Madison, Madison, WI, United States of America
| | - Joseph H. Skarlupka
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, United States of America
- Microbiology Doctoral Training Program, University of Wisconsin-Madison, Madison, WI, United States of America
| | - Ambar Haleem
- Division of Infectious Disease, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
| | - Michael L. Bentz
- Division of Plastic and Reconstructive Surgery and Urology, Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
| | - Garret Suen
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, United States of America
| | - Nasia Safdar
- Division of Infectious Disease, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States of America
- William S. Middleton Memorial Veterans Hospital, Madison, WI, United States of America
- * E-mail:
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Abstract
Our understanding of the host component of sepsis has made significant progress. However, detailed study of the microorganisms causing sepsis, either as single pathogens or microbial assemblages, has received far less attention. Metagenomic data offer opportunities to characterize the microbial communities found in septic and healthy individuals. In this study we apply gradient-boosted tree classifiers and a novel computational decontamination technique built upon SHapley Additive exPlanations (SHAP) to identify microbial hallmarks which discriminate blood metagenomic samples of septic patients from that of healthy individuals. Classifiers had high performance when using the read assignments to microbial genera [area under the receiver operating characteristic (AUROC=0.995)], including after removal of species ‘culture-confirmed’ as the cause of sepsis through clinical testing (AUROC=0.915). Models trained on single genera were inferior to those employing a polymicrobial model and we identified multiple co-occurring bacterial genera absent from healthy controls. While prevailing diagnostic paradigms seek to identify single pathogens, our results point to the involvement of a polymicrobial community in sepsis. We demonstrate the importance of the microbial component in characterising sepsis, which may offer new biological insights into the aetiology of sepsis, and ultimately support the development of clinical diagnostic or even prognostic tools.
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Affiliation(s)
- Cedric Chih Shen Tan
- UCL Genetics Institute, University College London, Gower Street, London, WC1E 6BT, UK.,Genome Institute of Singapore, A*STAR, Singapore 138672, Singapore
| | - Mislav Acman
- UCL Genetics Institute, University College London, Gower Street, London, WC1E 6BT, UK
| | - Lucy van Dorp
- UCL Genetics Institute, University College London, Gower Street, London, WC1E 6BT, UK
| | - Francois Balloux
- UCL Genetics Institute, University College London, Gower Street, London, WC1E 6BT, UK
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