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Prediction of Respiratory Failure and Mortality in COVID-19 Patients Using Long Pentraxin PTX3
The course of COVID-19 is unpredictable, ranging from asymptomatic to respiratory failure and death. Prognostic biomarkers are urgently needed. We hypothesized that long pentraxin PTX3 could be a valuable plasma biomarker due to its essential role in inflammatory processes. In a prospective hospital...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
S. Karger AG
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059012/ https://www.ncbi.nlm.nih.gov/pubmed/35066500 http://dx.doi.org/10.1159/000521612 |
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author | Hansen, Cecilie Bo Sandholdt, Håkon Møller, Maria Elizabeth Engel Pérez-Alós, Laura Pedersen, Lise Bastrup Israelsen, Simone Garred, Peter Benfield, Thomas |
author_facet | Hansen, Cecilie Bo Sandholdt, Håkon Møller, Maria Elizabeth Engel Pérez-Alós, Laura Pedersen, Lise Bastrup Israelsen, Simone Garred, Peter Benfield, Thomas |
author_sort | Hansen, Cecilie Bo |
collection | PubMed |
description | The course of COVID-19 is unpredictable, ranging from asymptomatic to respiratory failure and death. Prognostic biomarkers are urgently needed. We hypothesized that long pentraxin PTX3 could be a valuable plasma biomarker due to its essential role in inflammatory processes. In a prospective hospitalized COVID-19 derivation cohort (n = 126) during the spring of 2020, we measured PTX3 within 4 days of admission. The predictive value of mechanical ventilation (MV) and 30-day mortality compared with clinical parameters and other markers of inflammation were assessed by logistic regression analysis and expressed as odds ratio (OR) with 95% confidence interval (CI). Analyses were repeated in a prospective validation cohort (n = 112) of hospitalized patients with COVID-19 treated with remdesivir and dexamethasone. Thirty-day mortality in the derivation cohort was 26.2%. In patients who died, the median PTX3 concentration upon admission was 19.5 ng/mL (IQR: 12.5–33.3) versus 6.6 ng/mL (IQR 2.9–12.3) (p < 0.0001) for survivors. After adjustment for covariates, the odds of 30-day mortality increased two-fold for each doubling of PTX3 (OR 2.03 [95% CI: 1.23–3.34], p = 0.006), which was also observed in the validation cohort (OR 1.70 [95% CI: 1.09–2.67], p = 0.02). Similarly, PTX3 levels were associated with MV. After adjustment for covariates, OR of MV was 2.34 (95% CI: 1.33–4.12, p = 0.003) in the derivation cohort and 1.64 (95% CI: 1.03–2.62, p = 0.04) in the validation cohort. PTX3 appears to be a useful clinical biomarker to predict 30-day respiratory failure and mortality risk in COVID-19 patients treated with and without remdesivir and dexamethasone. |
format | Online Article Text |
id | pubmed-9059012 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | S. Karger AG |
record_format | MEDLINE/PubMed |
spelling | pubmed-90590122022-05-03 Prediction of Respiratory Failure and Mortality in COVID-19 Patients Using Long Pentraxin PTX3 Hansen, Cecilie Bo Sandholdt, Håkon Møller, Maria Elizabeth Engel Pérez-Alós, Laura Pedersen, Lise Bastrup Israelsen, Simone Garred, Peter Benfield, Thomas J Innate Immun Research Article The course of COVID-19 is unpredictable, ranging from asymptomatic to respiratory failure and death. Prognostic biomarkers are urgently needed. We hypothesized that long pentraxin PTX3 could be a valuable plasma biomarker due to its essential role in inflammatory processes. In a prospective hospitalized COVID-19 derivation cohort (n = 126) during the spring of 2020, we measured PTX3 within 4 days of admission. The predictive value of mechanical ventilation (MV) and 30-day mortality compared with clinical parameters and other markers of inflammation were assessed by logistic regression analysis and expressed as odds ratio (OR) with 95% confidence interval (CI). Analyses were repeated in a prospective validation cohort (n = 112) of hospitalized patients with COVID-19 treated with remdesivir and dexamethasone. Thirty-day mortality in the derivation cohort was 26.2%. In patients who died, the median PTX3 concentration upon admission was 19.5 ng/mL (IQR: 12.5–33.3) versus 6.6 ng/mL (IQR 2.9–12.3) (p < 0.0001) for survivors. After adjustment for covariates, the odds of 30-day mortality increased two-fold for each doubling of PTX3 (OR 2.03 [95% CI: 1.23–3.34], p = 0.006), which was also observed in the validation cohort (OR 1.70 [95% CI: 1.09–2.67], p = 0.02). Similarly, PTX3 levels were associated with MV. After adjustment for covariates, OR of MV was 2.34 (95% CI: 1.33–4.12, p = 0.003) in the derivation cohort and 1.64 (95% CI: 1.03–2.62, p = 0.04) in the validation cohort. PTX3 appears to be a useful clinical biomarker to predict 30-day respiratory failure and mortality risk in COVID-19 patients treated with and without remdesivir and dexamethasone. S. Karger AG 2022-01-21 /pmc/articles/PMC9059012/ /pubmed/35066500 http://dx.doi.org/10.1159/000521612 Text en Copyright © 2022 by The Author(s). Published by S. Karger AG, Basel https://creativecommons.org/licenses/by-nc/4.0/This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC). Usage and distribution for commercial purposes requires written permission. Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug. Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements. |
spellingShingle | Research Article Hansen, Cecilie Bo Sandholdt, Håkon Møller, Maria Elizabeth Engel Pérez-Alós, Laura Pedersen, Lise Bastrup Israelsen, Simone Garred, Peter Benfield, Thomas Prediction of Respiratory Failure and Mortality in COVID-19 Patients Using Long Pentraxin PTX3 |
title | Prediction of Respiratory Failure and Mortality in COVID-19 Patients Using Long Pentraxin PTX3 |
title_full | Prediction of Respiratory Failure and Mortality in COVID-19 Patients Using Long Pentraxin PTX3 |
title_fullStr | Prediction of Respiratory Failure and Mortality in COVID-19 Patients Using Long Pentraxin PTX3 |
title_full_unstemmed | Prediction of Respiratory Failure and Mortality in COVID-19 Patients Using Long Pentraxin PTX3 |
title_short | Prediction of Respiratory Failure and Mortality in COVID-19 Patients Using Long Pentraxin PTX3 |
title_sort | prediction of respiratory failure and mortality in covid-19 patients using long pentraxin ptx3 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9059012/ https://www.ncbi.nlm.nih.gov/pubmed/35066500 http://dx.doi.org/10.1159/000521612 |
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