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Staphylococcus aureus endocarditis: Identifying prognostic factors using a method derived from morbidity and mortality conferences
OBJECTIVES: Lethality of Staphylococcus aureus (Sa) infective endocarditis (IE) is high and might be due to yet unidentified prognostic factors. The aim of this study was to search for new potential prognostic factors and assess their prognostic value in SaIE. MATERIALS AND METHODS: We used a two-st...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763316/ https://www.ncbi.nlm.nih.gov/pubmed/36561723 http://dx.doi.org/10.3389/fmed.2022.1053278 |
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author | Lefèvre, Benjamin Legoff, Antoine Boutrou, Mathilde Goehringer, François Ngueyon-Sime, Willy Chirouze, Catherine Revest, Matthieu Vernet Garnier, Véronique Duval, Xavier Delahaye, François Le Moing, Vincent Selton-Suty, Christine Filippetti, Laura Hoen, Bruno Agrinier, Nelly |
author_facet | Lefèvre, Benjamin Legoff, Antoine Boutrou, Mathilde Goehringer, François Ngueyon-Sime, Willy Chirouze, Catherine Revest, Matthieu Vernet Garnier, Véronique Duval, Xavier Delahaye, François Le Moing, Vincent Selton-Suty, Christine Filippetti, Laura Hoen, Bruno Agrinier, Nelly |
author_sort | Lefèvre, Benjamin |
collection | PubMed |
description | OBJECTIVES: Lethality of Staphylococcus aureus (Sa) infective endocarditis (IE) is high and might be due to yet unidentified prognostic factors. The aim of this study was to search for new potential prognostic factors and assess their prognostic value in SaIE. MATERIALS AND METHODS: We used a two-step exploratory approach. First, using a qualitative approach derived from mortality and morbidity conferences, we conducted a review of the medical records of 30 patients with SaIE (15 deceased and 15 survivors), randomly extracted from an IE cohort database (NCT03295045), to detect new factors of possible prognostic interest. Second, we collected quantitative data for these factors in the entire set of SaIE patients and used multivariate Cox models to estimate their prognostic value. RESULTS: A total of 134 patients with modified Duke definite SaIE were included, 64 of whom died during follow-up. Of the 56 candidate prognostic factors identified at the first step, 3 had a significant prognostic value in multivariate analysis: the prior use of non-steroidal anti-inflammatory drugs [aHR 3.60, 95% CI (1.59–8.15), p = 0.002]; the non-performance of valve surgery when indicated [aHR 1.85, 95% CI (1.01–3.39), p = 0.046]; and the decrease of vegetation size on antibiotic treatment [aHR 0.34, 95% CI (0.12–0.97), p = 0.044]. CONCLUSION: We identified three potential SaIE prognostic factors. These results, if externally validated, might eventually help improve the management of patients with SaIE. |
format | Online Article Text |
id | pubmed-9763316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97633162022-12-21 Staphylococcus aureus endocarditis: Identifying prognostic factors using a method derived from morbidity and mortality conferences Lefèvre, Benjamin Legoff, Antoine Boutrou, Mathilde Goehringer, François Ngueyon-Sime, Willy Chirouze, Catherine Revest, Matthieu Vernet Garnier, Véronique Duval, Xavier Delahaye, François Le Moing, Vincent Selton-Suty, Christine Filippetti, Laura Hoen, Bruno Agrinier, Nelly Front Med (Lausanne) Medicine OBJECTIVES: Lethality of Staphylococcus aureus (Sa) infective endocarditis (IE) is high and might be due to yet unidentified prognostic factors. The aim of this study was to search for new potential prognostic factors and assess their prognostic value in SaIE. MATERIALS AND METHODS: We used a two-step exploratory approach. First, using a qualitative approach derived from mortality and morbidity conferences, we conducted a review of the medical records of 30 patients with SaIE (15 deceased and 15 survivors), randomly extracted from an IE cohort database (NCT03295045), to detect new factors of possible prognostic interest. Second, we collected quantitative data for these factors in the entire set of SaIE patients and used multivariate Cox models to estimate their prognostic value. RESULTS: A total of 134 patients with modified Duke definite SaIE were included, 64 of whom died during follow-up. Of the 56 candidate prognostic factors identified at the first step, 3 had a significant prognostic value in multivariate analysis: the prior use of non-steroidal anti-inflammatory drugs [aHR 3.60, 95% CI (1.59–8.15), p = 0.002]; the non-performance of valve surgery when indicated [aHR 1.85, 95% CI (1.01–3.39), p = 0.046]; and the decrease of vegetation size on antibiotic treatment [aHR 0.34, 95% CI (0.12–0.97), p = 0.044]. CONCLUSION: We identified three potential SaIE prognostic factors. These results, if externally validated, might eventually help improve the management of patients with SaIE. Frontiers Media S.A. 2022-12-06 /pmc/articles/PMC9763316/ /pubmed/36561723 http://dx.doi.org/10.3389/fmed.2022.1053278 Text en Copyright © 2022 Lefèvre, Legoff, Boutrou, Goehringer, Ngueyon-Sime, Chirouze, Revest, Vernet Garnier, Duval, Delahaye, Le Moing, Selton-Suty, Filippetti, Hoen and Agrinier. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Lefèvre, Benjamin Legoff, Antoine Boutrou, Mathilde Goehringer, François Ngueyon-Sime, Willy Chirouze, Catherine Revest, Matthieu Vernet Garnier, Véronique Duval, Xavier Delahaye, François Le Moing, Vincent Selton-Suty, Christine Filippetti, Laura Hoen, Bruno Agrinier, Nelly Staphylococcus aureus endocarditis: Identifying prognostic factors using a method derived from morbidity and mortality conferences |
title | Staphylococcus aureus endocarditis: Identifying prognostic factors using a method derived from morbidity and mortality conferences |
title_full | Staphylococcus aureus endocarditis: Identifying prognostic factors using a method derived from morbidity and mortality conferences |
title_fullStr | Staphylococcus aureus endocarditis: Identifying prognostic factors using a method derived from morbidity and mortality conferences |
title_full_unstemmed | Staphylococcus aureus endocarditis: Identifying prognostic factors using a method derived from morbidity and mortality conferences |
title_short | Staphylococcus aureus endocarditis: Identifying prognostic factors using a method derived from morbidity and mortality conferences |
title_sort | staphylococcus aureus endocarditis: identifying prognostic factors using a method derived from morbidity and mortality conferences |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763316/ https://www.ncbi.nlm.nih.gov/pubmed/36561723 http://dx.doi.org/10.3389/fmed.2022.1053278 |
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