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Structural equation modeling the “control of gut overgrowth” in the prevention of ICU-acquired Gram-negative infection
BACKGROUND: Conceptually, the “control of gut overgrowth” (COGO) is key in mediating prevention against infection with Gram-negative bacilli by topical antibiotic prophylaxis, a common constituent of selective digestive decontamination (SDD) regimens. However, the relative importance of the other SD...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199305/ https://www.ncbi.nlm.nih.gov/pubmed/32366267 http://dx.doi.org/10.1186/s13054-020-02906-6 |
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author | Hurley, James C. |
author_facet | Hurley, James C. |
author_sort | Hurley, James C. |
collection | PubMed |
description | BACKGROUND: Conceptually, the “control of gut overgrowth” (COGO) is key in mediating prevention against infection with Gram-negative bacilli by topical antibiotic prophylaxis, a common constituent of selective digestive decontamination (SDD) regimens. However, the relative importance of the other SDD components, enteral and protocolized parenteral antibiotic prophylaxis, versus other methods of infection prevention and versus other contextual exposures cannot be resolved within individual studies. METHODS: Seven candidate generalized structural equation models founded on COGO concepts were confronted with Pseudomonas and Acinetobacter bacteremia as well as ventilator-associated pneumonia data derived from > 200 infection prevention studies. The following group-level exposures were included in the models: use and mode of antibiotic prophylaxis, anti-septic and non-decontamination methods of infection prevention; proportion receiving mechanical ventilation; trauma ICU; mean length of ICU stay; and concurrency versus non-concurrency of topical antibiotic prophylaxis study control groups. RESULTS: In modeling Pseudomonas and Acinetobacter gut overgrowth as latent variables, anti-septic interventions had the strongest negative effect against Pseudomonas gut overgrowth but no intervention was significantly negative against Acinetobacter gut overgrowth. Strikingly, protocolized parenteral antibiotic prophylaxis and concurrency each have positive effects in the model, enteral antibiotic prophylaxis is neutral, and Acinetobacter bacteremia incidences are high within topical antibiotic prophylaxis studies, moreso with protocolized parenteral antibiotic prophylaxis exposure. Paradoxically, topical antibiotic prophylaxis (moreso with protocolized parenteral antibiotic prophylaxis) appears to provide the strongest summary prevention effects against overall bacteremia and overall VAP. CONCLUSIONS: Structural equation modeling of published Gram-negative bacillus infection data enables a test of the COGO concept. Paradoxically, Acinetobacter and Pseudomonas bacteremia incidences are unusually high among studies of topical antibiotic prophylaxis. |
format | Online Article Text |
id | pubmed-7199305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71993052020-05-08 Structural equation modeling the “control of gut overgrowth” in the prevention of ICU-acquired Gram-negative infection Hurley, James C. Crit Care Research BACKGROUND: Conceptually, the “control of gut overgrowth” (COGO) is key in mediating prevention against infection with Gram-negative bacilli by topical antibiotic prophylaxis, a common constituent of selective digestive decontamination (SDD) regimens. However, the relative importance of the other SDD components, enteral and protocolized parenteral antibiotic prophylaxis, versus other methods of infection prevention and versus other contextual exposures cannot be resolved within individual studies. METHODS: Seven candidate generalized structural equation models founded on COGO concepts were confronted with Pseudomonas and Acinetobacter bacteremia as well as ventilator-associated pneumonia data derived from > 200 infection prevention studies. The following group-level exposures were included in the models: use and mode of antibiotic prophylaxis, anti-septic and non-decontamination methods of infection prevention; proportion receiving mechanical ventilation; trauma ICU; mean length of ICU stay; and concurrency versus non-concurrency of topical antibiotic prophylaxis study control groups. RESULTS: In modeling Pseudomonas and Acinetobacter gut overgrowth as latent variables, anti-septic interventions had the strongest negative effect against Pseudomonas gut overgrowth but no intervention was significantly negative against Acinetobacter gut overgrowth. Strikingly, protocolized parenteral antibiotic prophylaxis and concurrency each have positive effects in the model, enteral antibiotic prophylaxis is neutral, and Acinetobacter bacteremia incidences are high within topical antibiotic prophylaxis studies, moreso with protocolized parenteral antibiotic prophylaxis exposure. Paradoxically, topical antibiotic prophylaxis (moreso with protocolized parenteral antibiotic prophylaxis) appears to provide the strongest summary prevention effects against overall bacteremia and overall VAP. CONCLUSIONS: Structural equation modeling of published Gram-negative bacillus infection data enables a test of the COGO concept. Paradoxically, Acinetobacter and Pseudomonas bacteremia incidences are unusually high among studies of topical antibiotic prophylaxis. BioMed Central 2020-05-04 /pmc/articles/PMC7199305/ /pubmed/32366267 http://dx.doi.org/10.1186/s13054-020-02906-6 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Hurley, James C. Structural equation modeling the “control of gut overgrowth” in the prevention of ICU-acquired Gram-negative infection |
title | Structural equation modeling the “control of gut overgrowth” in the prevention of ICU-acquired Gram-negative infection |
title_full | Structural equation modeling the “control of gut overgrowth” in the prevention of ICU-acquired Gram-negative infection |
title_fullStr | Structural equation modeling the “control of gut overgrowth” in the prevention of ICU-acquired Gram-negative infection |
title_full_unstemmed | Structural equation modeling the “control of gut overgrowth” in the prevention of ICU-acquired Gram-negative infection |
title_short | Structural equation modeling the “control of gut overgrowth” in the prevention of ICU-acquired Gram-negative infection |
title_sort | structural equation modeling the “control of gut overgrowth” in the prevention of icu-acquired gram-negative infection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199305/ https://www.ncbi.nlm.nih.gov/pubmed/32366267 http://dx.doi.org/10.1186/s13054-020-02906-6 |
work_keys_str_mv | AT hurleyjamesc structuralequationmodelingthecontrolofgutovergrowthinthepreventionoficuacquiredgramnegativeinfection |