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Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU patients
PURPOSE: Animal models implicate candida colonization facilitating invasive bacterial infections. The clinical relevance of this microbial interaction remains undefined and difficult to study directly. Observations from studies of anti-septic, antibiotic, anti-fungal, and non-decontamination-based i...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776977/ https://www.ncbi.nlm.nih.gov/pubmed/35059904 http://dx.doi.org/10.1186/s40635-022-00429-8 |
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author | Hurley, James C. |
author_facet | Hurley, James C. |
author_sort | Hurley, James C. |
collection | PubMed |
description | PURPOSE: Animal models implicate candida colonization facilitating invasive bacterial infections. The clinical relevance of this microbial interaction remains undefined and difficult to study directly. Observations from studies of anti-septic, antibiotic, anti-fungal, and non-decontamination-based interventions to prevent ICU acquired infection collectively serve as a natural experiment. METHODS: Three candidate generalized structural equation models (GSEM), with Candida and Pseudomonas colonization as latent variables, were confronted with blood culture and respiratory tract isolate data derived from 464 groups from 279 studies including studies of combined antibiotic and antifungal exposures within selective digestive decontamination (SDD) interventions. RESULTS: Introducing an interaction term between Candida colonization and Pseudomonas colonization substantially improved GSEM model fit. Model derived coefficients for singular exposure to anti-septic agents (− 1.23; − 2.1 to − 0.32), amphotericin (− 1.78; − 2.79 to − 0.78) and topical antibiotic prophylaxis (TAP; + 1.02; + 0.11 to + 1.93) versus Candida colonization were similar in magnitude but contrary in direction. By contrast, the model-derived coefficients for singular exposure to TAP, as with anti-septic agents, versus Pseudomonas colonization were weaker or non-significant. Singular exposure to amphotericin would be predicted to more than halve candidemia and Pseudomonas bacteremia incidences versus literature benchmarks for absolute differences of approximately one percentage point or less. CONCLUSION: GSEM modelling of published data supports the postulated interaction between Candida and Pseudomonas colonization towards promoting bacteremia among ICU patients. This would be difficult to detect without GSEM modelling. The model indicates that anti-fungal agents have greater impact in preventing Pseudomonas bacteremia than TAP, which has no impact. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40635-022-00429-8. |
format | Online Article Text |
id | pubmed-8776977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-87769772022-02-02 Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU patients Hurley, James C. Intensive Care Med Exp Research Articles PURPOSE: Animal models implicate candida colonization facilitating invasive bacterial infections. The clinical relevance of this microbial interaction remains undefined and difficult to study directly. Observations from studies of anti-septic, antibiotic, anti-fungal, and non-decontamination-based interventions to prevent ICU acquired infection collectively serve as a natural experiment. METHODS: Three candidate generalized structural equation models (GSEM), with Candida and Pseudomonas colonization as latent variables, were confronted with blood culture and respiratory tract isolate data derived from 464 groups from 279 studies including studies of combined antibiotic and antifungal exposures within selective digestive decontamination (SDD) interventions. RESULTS: Introducing an interaction term between Candida colonization and Pseudomonas colonization substantially improved GSEM model fit. Model derived coefficients for singular exposure to anti-septic agents (− 1.23; − 2.1 to − 0.32), amphotericin (− 1.78; − 2.79 to − 0.78) and topical antibiotic prophylaxis (TAP; + 1.02; + 0.11 to + 1.93) versus Candida colonization were similar in magnitude but contrary in direction. By contrast, the model-derived coefficients for singular exposure to TAP, as with anti-septic agents, versus Pseudomonas colonization were weaker or non-significant. Singular exposure to amphotericin would be predicted to more than halve candidemia and Pseudomonas bacteremia incidences versus literature benchmarks for absolute differences of approximately one percentage point or less. CONCLUSION: GSEM modelling of published data supports the postulated interaction between Candida and Pseudomonas colonization towards promoting bacteremia among ICU patients. This would be difficult to detect without GSEM modelling. The model indicates that anti-fungal agents have greater impact in preventing Pseudomonas bacteremia than TAP, which has no impact. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40635-022-00429-8. Springer International Publishing 2022-01-21 /pmc/articles/PMC8776977/ /pubmed/35059904 http://dx.doi.org/10.1186/s40635-022-00429-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Articles Hurley, James C. Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU patients |
title | Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU patients |
title_full | Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU patients |
title_fullStr | Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU patients |
title_full_unstemmed | Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU patients |
title_short | Structural equation modelling the relationship between anti-fungal prophylaxis and Pseudomonas bacteremia in ICU patients |
title_sort | structural equation modelling the relationship between anti-fungal prophylaxis and pseudomonas bacteremia in icu patients |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776977/ https://www.ncbi.nlm.nih.gov/pubmed/35059904 http://dx.doi.org/10.1186/s40635-022-00429-8 |
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