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281. Mathematical modeling of corticosteroid induced secondary infection and In silico Dose exploration of Dexamethasone, Hydrocortisone
BACKGROUND: The use of steroids in infected patients is necessary to modulate the inflammatory response that is triggered by infection. However, there is a concern that steroid use could increase the risk of secondary infection. Here, To quantitatively and mechanistically evaluate the risk of second...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678572/ http://dx.doi.org/10.1093/ofid/ofad500.353 |
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author | Kim, Dong-Hyun Kyuong Chung, Eun |
author_facet | Kim, Dong-Hyun Kyuong Chung, Eun |
author_sort | Kim, Dong-Hyun |
collection | PubMed |
description | BACKGROUND: The use of steroids in infected patients is necessary to modulate the inflammatory response that is triggered by infection. However, there is a concern that steroid use could increase the risk of secondary infection. Here, To quantitatively and mechanistically evaluate the risk of secondary infection, we simulate different types and doses of steroids by utilizing a state-of-the-art hybrid PBPK-QSP modeling approach. METHODS: A minimal PBPK model of vancomycin and dexamethasone/hydrocortisone was developed and combined with a mathematical QSP model of bacterial infection and immune response. The models were linked to each other in R 4.2.2 using the rxode2 package. Usual dosing regimen of vancomycin and steroids were simulated, and long-term use of high-dose steroid therapy with vancomycin was also simulated. Vancomycin dosing was fixed at 1500mg IV infusion q12h for 7 days, dexamethasone 5 mg or 70 mg q12h IV infusion for 7 days, and hydrocortisone 100 mg or 500 mg q12h IV infusion for 7 days, with 1.2 times of the maintenance dose given as a loading dose. Plasma and lung PK profiles were derived using the minimal PBPK model to be combined seamlessly with the QSP model. Model-based simulations were conducted over a period of 1000 hours. RESULTS: Our minimal PBPK model simulated the PK profiles of vancomycin as well as dexamethasone and hydrocortisone in plasma and lung within the physiologically plausible range (Figure 1). In the case of dexamethasone 70 mg, the number of neutrophils decreased by about half compared to the case of dexamethasone 5 mg, and the number of bacteria in the lung compartment substantially increased (13.6% of the initial inoculum) after 300 hours (Figure 2). The other regimens did not show a significant increase in the number of bacteria. [Figure: see text] [Figure: see text] CONCLUSION: Our modeling results suggest that the usual dose of steroid commonly used in infected patients does not increase the risk of secondary infection. However, long-term use of high-dose steroid therapy could increase the risk of secondary infection. When long-term use of high-dose steroid therapy is needed, Hydrocortisone could be a better option than dexamethasone from the perspective of infection risk DISCLOSURES: All Authors: No reported disclosures |
format | Online Article Text |
id | pubmed-10678572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106785722023-11-27 281. Mathematical modeling of corticosteroid induced secondary infection and In silico Dose exploration of Dexamethasone, Hydrocortisone Kim, Dong-Hyun Kyuong Chung, Eun Open Forum Infect Dis Abstract BACKGROUND: The use of steroids in infected patients is necessary to modulate the inflammatory response that is triggered by infection. However, there is a concern that steroid use could increase the risk of secondary infection. Here, To quantitatively and mechanistically evaluate the risk of secondary infection, we simulate different types and doses of steroids by utilizing a state-of-the-art hybrid PBPK-QSP modeling approach. METHODS: A minimal PBPK model of vancomycin and dexamethasone/hydrocortisone was developed and combined with a mathematical QSP model of bacterial infection and immune response. The models were linked to each other in R 4.2.2 using the rxode2 package. Usual dosing regimen of vancomycin and steroids were simulated, and long-term use of high-dose steroid therapy with vancomycin was also simulated. Vancomycin dosing was fixed at 1500mg IV infusion q12h for 7 days, dexamethasone 5 mg or 70 mg q12h IV infusion for 7 days, and hydrocortisone 100 mg or 500 mg q12h IV infusion for 7 days, with 1.2 times of the maintenance dose given as a loading dose. Plasma and lung PK profiles were derived using the minimal PBPK model to be combined seamlessly with the QSP model. Model-based simulations were conducted over a period of 1000 hours. RESULTS: Our minimal PBPK model simulated the PK profiles of vancomycin as well as dexamethasone and hydrocortisone in plasma and lung within the physiologically plausible range (Figure 1). In the case of dexamethasone 70 mg, the number of neutrophils decreased by about half compared to the case of dexamethasone 5 mg, and the number of bacteria in the lung compartment substantially increased (13.6% of the initial inoculum) after 300 hours (Figure 2). The other regimens did not show a significant increase in the number of bacteria. [Figure: see text] [Figure: see text] CONCLUSION: Our modeling results suggest that the usual dose of steroid commonly used in infected patients does not increase the risk of secondary infection. However, long-term use of high-dose steroid therapy could increase the risk of secondary infection. When long-term use of high-dose steroid therapy is needed, Hydrocortisone could be a better option than dexamethasone from the perspective of infection risk DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2023-11-27 /pmc/articles/PMC10678572/ http://dx.doi.org/10.1093/ofid/ofad500.353 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstract Kim, Dong-Hyun Kyuong Chung, Eun 281. Mathematical modeling of corticosteroid induced secondary infection and In silico Dose exploration of Dexamethasone, Hydrocortisone |
title | 281. Mathematical modeling of corticosteroid induced secondary infection and In silico Dose exploration of Dexamethasone, Hydrocortisone |
title_full | 281. Mathematical modeling of corticosteroid induced secondary infection and In silico Dose exploration of Dexamethasone, Hydrocortisone |
title_fullStr | 281. Mathematical modeling of corticosteroid induced secondary infection and In silico Dose exploration of Dexamethasone, Hydrocortisone |
title_full_unstemmed | 281. Mathematical modeling of corticosteroid induced secondary infection and In silico Dose exploration of Dexamethasone, Hydrocortisone |
title_short | 281. Mathematical modeling of corticosteroid induced secondary infection and In silico Dose exploration of Dexamethasone, Hydrocortisone |
title_sort | 281. mathematical modeling of corticosteroid induced secondary infection and in silico dose exploration of dexamethasone, hydrocortisone |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678572/ http://dx.doi.org/10.1093/ofid/ofad500.353 |
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