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Markers of inflammation predict survival in newly diagnosed cirrhosis: a prospective registry study
The inflammatory activity in cirrhosis is often pronounced and related to episodes of decompensation. Systemic markers of inflammation may contain prognostic information, and we investigated their possible correlation with admissions and mortality among patients with newly diagnosed liver cirrhosis....
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654496/ https://www.ncbi.nlm.nih.gov/pubmed/37973887 http://dx.doi.org/10.1038/s41598-023-47384-2 |
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author | Mynster Kronborg, Thit Webel, Henry O’Connell, Malene Barfod Danielsen, Karen Vagner Hobolth, Lise Møller, Søren Jensen, Rasmus Tanderup Bendtsen, Flemming Hansen, Torben Rasmussen, Simon Juel, Helene Bæk Kimer, Nina |
author_facet | Mynster Kronborg, Thit Webel, Henry O’Connell, Malene Barfod Danielsen, Karen Vagner Hobolth, Lise Møller, Søren Jensen, Rasmus Tanderup Bendtsen, Flemming Hansen, Torben Rasmussen, Simon Juel, Helene Bæk Kimer, Nina |
author_sort | Mynster Kronborg, Thit |
collection | PubMed |
description | The inflammatory activity in cirrhosis is often pronounced and related to episodes of decompensation. Systemic markers of inflammation may contain prognostic information, and we investigated their possible correlation with admissions and mortality among patients with newly diagnosed liver cirrhosis. We collected plasma samples from 149 patients with newly diagnosed (within the past 6 months) cirrhosis, and registered deaths and hospital admissions within 180 days. Ninety-two inflammatory markers were quantified and correlated with clinical variables, mortality, and admissions. Prediction models were calculated by logistic regression. We compared the disease courses of our cohort with a validation cohort of 86 patients with cirrhosis. Twenty of 92 markers of inflammation correlated significantly with mortality within 180 days (q-values of 0.00–0.044), whereas we found no significant correlations with liver-related admissions. The logistic regression models yielded AUROCs of 0.73 to 0.79 for mortality and 0.61 to 0.73 for liver-related admissions, based on a variety of modalities (clinical variables, inflammatory markers, clinical scores, or combinations thereof). The models performed moderately well in the validation cohort and were better able to predict mortality than liver-related admissions. In conclusion, markers of inflammation can be used to predict 180-day mortality in patients with newly diagnosed cirrhosis. Prediction models for newly diagnosed cirrhotic patients need further validation before implementation in clinical practice. Trial registration: NCT04422223 (and NCT03443934 for the validation cohort), and Scientific Ethics Committee No.: H-19024348. |
format | Online Article Text |
id | pubmed-10654496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106544962023-11-16 Markers of inflammation predict survival in newly diagnosed cirrhosis: a prospective registry study Mynster Kronborg, Thit Webel, Henry O’Connell, Malene Barfod Danielsen, Karen Vagner Hobolth, Lise Møller, Søren Jensen, Rasmus Tanderup Bendtsen, Flemming Hansen, Torben Rasmussen, Simon Juel, Helene Bæk Kimer, Nina Sci Rep Article The inflammatory activity in cirrhosis is often pronounced and related to episodes of decompensation. Systemic markers of inflammation may contain prognostic information, and we investigated their possible correlation with admissions and mortality among patients with newly diagnosed liver cirrhosis. We collected plasma samples from 149 patients with newly diagnosed (within the past 6 months) cirrhosis, and registered deaths and hospital admissions within 180 days. Ninety-two inflammatory markers were quantified and correlated with clinical variables, mortality, and admissions. Prediction models were calculated by logistic regression. We compared the disease courses of our cohort with a validation cohort of 86 patients with cirrhosis. Twenty of 92 markers of inflammation correlated significantly with mortality within 180 days (q-values of 0.00–0.044), whereas we found no significant correlations with liver-related admissions. The logistic regression models yielded AUROCs of 0.73 to 0.79 for mortality and 0.61 to 0.73 for liver-related admissions, based on a variety of modalities (clinical variables, inflammatory markers, clinical scores, or combinations thereof). The models performed moderately well in the validation cohort and were better able to predict mortality than liver-related admissions. In conclusion, markers of inflammation can be used to predict 180-day mortality in patients with newly diagnosed cirrhosis. Prediction models for newly diagnosed cirrhotic patients need further validation before implementation in clinical practice. Trial registration: NCT04422223 (and NCT03443934 for the validation cohort), and Scientific Ethics Committee No.: H-19024348. Nature Publishing Group UK 2023-11-16 /pmc/articles/PMC10654496/ /pubmed/37973887 http://dx.doi.org/10.1038/s41598-023-47384-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Mynster Kronborg, Thit Webel, Henry O’Connell, Malene Barfod Danielsen, Karen Vagner Hobolth, Lise Møller, Søren Jensen, Rasmus Tanderup Bendtsen, Flemming Hansen, Torben Rasmussen, Simon Juel, Helene Bæk Kimer, Nina Markers of inflammation predict survival in newly diagnosed cirrhosis: a prospective registry study |
title | Markers of inflammation predict survival in newly diagnosed cirrhosis: a prospective registry study |
title_full | Markers of inflammation predict survival in newly diagnosed cirrhosis: a prospective registry study |
title_fullStr | Markers of inflammation predict survival in newly diagnosed cirrhosis: a prospective registry study |
title_full_unstemmed | Markers of inflammation predict survival in newly diagnosed cirrhosis: a prospective registry study |
title_short | Markers of inflammation predict survival in newly diagnosed cirrhosis: a prospective registry study |
title_sort | markers of inflammation predict survival in newly diagnosed cirrhosis: a prospective registry study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10654496/ https://www.ncbi.nlm.nih.gov/pubmed/37973887 http://dx.doi.org/10.1038/s41598-023-47384-2 |
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