Please use this identifier to cite or link to this item: http://hdl.handle.net/11054/2197
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dc.contributorHurley, James C.en_US
dc.date.accessioned2023-08-05T07:01:53Z-
dc.date.available2023-08-05T07:01:53Z-
dc.date.issued2023-
dc.identifier.govdoc02146en_US
dc.identifier.urihttp://hdl.handle.net/11054/2197-
dc.description.abstractWhether Candida within the patient microbiome drives the pathogenesis of Staphylococcus aureus bacteremia, described as microbial hitchhiking, cannot be directly studied. Group-level observations from studies of various decontamination and non-decontamination-based ICU infection prevention interventions and studies without study interventions (observational groups) collectively enable tests of this interaction within causal models. Candidate models of the propensity for Staphylococcus aureus bacteremia to arise with versus without various antibiotic, anti-septic, and antifungal exposures, each identified as singleton exposures, were tested using generalized structural equation modelling (GSEM) techniques with Candida and Staphylococcus aureus colonization appearing as latent variables within the models. Each model was tested by confrontation against blood and respiratory isolate data, obtained from 467 groups within 284 infection prevention studies. Introducing an interaction term between Candida colonization and Staphylococcus aureus colonization substantially improved GSEM model fit. Model-derived coefficients for singular exposure to anti-septic agents (− 1.28; 95% confidence interval; − 2.05 to − 0.5), amphotericin (− 1.49; − 2.3 to − 0.67), and topical antibiotic prophylaxis (TAP; + 0.93; + 0.15 to + 1.71) as direct effects versus Candida colonization were similar in magnitude but contrary in direction. By contrast, the coefficients for singleton exposure to TAP, as with anti-septic agents, versus Staphylococcus colonization were weaker or non-significant. Topical amphotericin would be predicted to halve both candidemia and Staphylococcus aureus bacteremia incidences versus literature derived benchmarks for absolute differences of < 1 percentage point. Using ICU infection prevention data, GSEM modelling validates the postulated interaction between Candida and Staphylococcus colonization facilitating bacteremia.en_US
dc.description.provenanceSubmitted by Gemma Siemensma (gemmas@bhs.org.au) on 2023-05-15T05:18:58Z No. of bitstreams: 0en
dc.description.provenanceApproved for entry into archive by Gemma Siemensma (gemmas@bhs.org.au) on 2023-08-05T07:01:53Z (GMT) No. of bitstreams: 0en
dc.description.provenanceMade available in DSpace on 2023-08-05T07:01:53Z (GMT). No. of bitstreams: 0 Previous issue date: 2023en
dc.titleStaphylococcus aureus hitchhiking from colonization to bacteremia via Candida within ICU infection prevention studies: a proof of concept modelling.en_US
dc.typeJournal Articleen_US
dc.type.specifiedArticleen_US
dc.bibliographicCitation.titleEuropean Journal of Clinical Microbiology & Infectious Diseasesen_US
dc.bibliographicCitation.volume42en_US
dc.bibliographicCitation.issue5en_US
dc.bibliographicCitation.stpage543en_US
dc.bibliographicCitation.endpage554en_US
dc.subject.healththesaurusSTAPHYLOCOCCUS AUREUSen_US
dc.subject.healththesaurusBACTEREMIAen_US
dc.subject.healththesaurusCANDIDEMIAen_US
dc.subject.healththesaurusSTRUCTURAL EQUATION MODELLINGen_US
dc.identifier.doihttps://doi.org/10.1007/s10096-023-04573-1en_US
Appears in Collections:Research Output

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