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Longitudinal relationship of liver injury with inflammation biomarkers in COVID-19 hospitalized patients using a joint modeling approach
The mechanisms underlying liver disease in patients with COVID-19 are not entirely known. The aim is to investigate, by means of novel statistical techniques, the changes over time in the relationship between inflammation markers and liver damage markers in relation to survival in COVID-19. The stud...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972986/ https://www.ncbi.nlm.nih.gov/pubmed/35365705 http://dx.doi.org/10.1038/s41598-022-09290-x |
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author | Diaz-Louzao, Carla Barrera-Lopez, Lucia Lopez-Rodriguez, Maria Casar, Clara Vazquez-Agra, Nestor Pernas-Pardavila, Hadrian Marques-Afonso, Ana Vidal-Vazquez, Martin Montoya, Jonathan G. Andrade, Ariadna H. Fernandez-Castro, Ivan Varela, Pablo Gonzalez-Quintela, Arturo Otero, Esteban Gude, Francisco Cadarso-Suarez, Carmen Tome, Santiago |
author_facet | Diaz-Louzao, Carla Barrera-Lopez, Lucia Lopez-Rodriguez, Maria Casar, Clara Vazquez-Agra, Nestor Pernas-Pardavila, Hadrian Marques-Afonso, Ana Vidal-Vazquez, Martin Montoya, Jonathan G. Andrade, Ariadna H. Fernandez-Castro, Ivan Varela, Pablo Gonzalez-Quintela, Arturo Otero, Esteban Gude, Francisco Cadarso-Suarez, Carmen Tome, Santiago |
author_sort | Diaz-Louzao, Carla |
collection | PubMed |
description | The mechanisms underlying liver disease in patients with COVID-19 are not entirely known. The aim is to investigate, by means of novel statistical techniques, the changes over time in the relationship between inflammation markers and liver damage markers in relation to survival in COVID-19. The study included 221 consecutive patients admitted to the hospital during the first COVID-19 wave in Spain. Generalized additive mixed models were used to investigate the influence of time and inflammation markers on liver damage markers in relation to survival. Joint modeling regression was used to evaluate the temporal correlations between inflammation markers (serum C-reactive protein [CRP], interleukin-6, plasma D-dimer, and blood lymphocyte count) and liver damage markers, after adjusting for age, sex, and therapy. The patients who died showed a significant elevation in serum aspartate transaminase (AST) and alkaline phosphatase levels over time. Conversely, a decrease in serum AST levels was observed in the survivors, who showed a negative correlation between inflammation markers and liver damage markers (CRP with serum AST, alanine transaminase [ALT], and gamma-glutamyl transferase [GGT]; and D-dimer with AST and ALT) after a week of hospitalization. Conversely, most correlations were positive in the patients who died, except lymphocyte count, which was negatively correlated with AST, GGT, and alkaline phosphatase. These correlations were attenuated with age. The patients who died during COVID-19 infection displayed a significant elevation of liver damage markers, which is correlated with inflammation markers over time. These results are consistent with the role of systemic inflammation in liver damage during COVID-19. |
format | Online Article Text |
id | pubmed-8972986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89729862022-04-01 Longitudinal relationship of liver injury with inflammation biomarkers in COVID-19 hospitalized patients using a joint modeling approach Diaz-Louzao, Carla Barrera-Lopez, Lucia Lopez-Rodriguez, Maria Casar, Clara Vazquez-Agra, Nestor Pernas-Pardavila, Hadrian Marques-Afonso, Ana Vidal-Vazquez, Martin Montoya, Jonathan G. Andrade, Ariadna H. Fernandez-Castro, Ivan Varela, Pablo Gonzalez-Quintela, Arturo Otero, Esteban Gude, Francisco Cadarso-Suarez, Carmen Tome, Santiago Sci Rep Article The mechanisms underlying liver disease in patients with COVID-19 are not entirely known. The aim is to investigate, by means of novel statistical techniques, the changes over time in the relationship between inflammation markers and liver damage markers in relation to survival in COVID-19. The study included 221 consecutive patients admitted to the hospital during the first COVID-19 wave in Spain. Generalized additive mixed models were used to investigate the influence of time and inflammation markers on liver damage markers in relation to survival. Joint modeling regression was used to evaluate the temporal correlations between inflammation markers (serum C-reactive protein [CRP], interleukin-6, plasma D-dimer, and blood lymphocyte count) and liver damage markers, after adjusting for age, sex, and therapy. The patients who died showed a significant elevation in serum aspartate transaminase (AST) and alkaline phosphatase levels over time. Conversely, a decrease in serum AST levels was observed in the survivors, who showed a negative correlation between inflammation markers and liver damage markers (CRP with serum AST, alanine transaminase [ALT], and gamma-glutamyl transferase [GGT]; and D-dimer with AST and ALT) after a week of hospitalization. Conversely, most correlations were positive in the patients who died, except lymphocyte count, which was negatively correlated with AST, GGT, and alkaline phosphatase. These correlations were attenuated with age. The patients who died during COVID-19 infection displayed a significant elevation of liver damage markers, which is correlated with inflammation markers over time. These results are consistent with the role of systemic inflammation in liver damage during COVID-19. Nature Publishing Group UK 2022-04-01 /pmc/articles/PMC8972986/ /pubmed/35365705 http://dx.doi.org/10.1038/s41598-022-09290-x Text en © The Author(s) 2022 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 Diaz-Louzao, Carla Barrera-Lopez, Lucia Lopez-Rodriguez, Maria Casar, Clara Vazquez-Agra, Nestor Pernas-Pardavila, Hadrian Marques-Afonso, Ana Vidal-Vazquez, Martin Montoya, Jonathan G. Andrade, Ariadna H. Fernandez-Castro, Ivan Varela, Pablo Gonzalez-Quintela, Arturo Otero, Esteban Gude, Francisco Cadarso-Suarez, Carmen Tome, Santiago Longitudinal relationship of liver injury with inflammation biomarkers in COVID-19 hospitalized patients using a joint modeling approach |
title | Longitudinal relationship of liver injury with inflammation biomarkers in COVID-19 hospitalized patients using a joint modeling approach |
title_full | Longitudinal relationship of liver injury with inflammation biomarkers in COVID-19 hospitalized patients using a joint modeling approach |
title_fullStr | Longitudinal relationship of liver injury with inflammation biomarkers in COVID-19 hospitalized patients using a joint modeling approach |
title_full_unstemmed | Longitudinal relationship of liver injury with inflammation biomarkers in COVID-19 hospitalized patients using a joint modeling approach |
title_short | Longitudinal relationship of liver injury with inflammation biomarkers in COVID-19 hospitalized patients using a joint modeling approach |
title_sort | longitudinal relationship of liver injury with inflammation biomarkers in covid-19 hospitalized patients using a joint modeling approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972986/ https://www.ncbi.nlm.nih.gov/pubmed/35365705 http://dx.doi.org/10.1038/s41598-022-09290-x |
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