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Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis

BACKGROUND: As the COVID-19 pandemic strains healthcare systems worldwide, finding predictive markers of severe courses remains urgent. Most research so far was limited to selective questions hindering general assumptions for short- and long-term outcome. METHODS: In this prospective single-center b...

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Autores principales: Lieberum, Jan Nikolaus, Kaiser, Sandra, Kalbhenn, Johannes, Bürkle, Hartmut, Schallner, Nils
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832419/
https://www.ncbi.nlm.nih.gov/pubmed/36631778
http://dx.doi.org/10.1186/s12879-023-07980-z
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author Lieberum, Jan Nikolaus
Kaiser, Sandra
Kalbhenn, Johannes
Bürkle, Hartmut
Schallner, Nils
author_facet Lieberum, Jan Nikolaus
Kaiser, Sandra
Kalbhenn, Johannes
Bürkle, Hartmut
Schallner, Nils
author_sort Lieberum, Jan Nikolaus
collection PubMed
description BACKGROUND: As the COVID-19 pandemic strains healthcare systems worldwide, finding predictive markers of severe courses remains urgent. Most research so far was limited to selective questions hindering general assumptions for short- and long-term outcome. METHODS: In this prospective single-center biomarker study, 47 blood- and 21 bronchoalveolar lavage (BAL) samples were collected from 47 COVID-19 intensive care unit (ICU) patients upon admission. Expression of inflammatory markers toll-like receptor 3 (TLR3), heme oxygenase-1 (HO-1), interleukin (IL)-6, IL-8, leukocyte counts, procalcitonin (PCT) and carboxyhemoglobin (CO-Hb) was compared to clinical course. Clinical assessment comprised acute local organ damage, acute systemic damage, mortality and outcome after 6 months. RESULTS: PCT correlated with acute systemic damage and was the best predictor for quality of life (QoL) after 6 months (r = − 0.4647, p = 0.0338). Systemic TLR3 negatively correlated with impaired lung function (ECMO/ECLS: r = − 0.3810, p = 0.0107) and neurological short- (RASS mean: r = 0.4474, p = 0.0023) and long-term outcome (mRS after 6 m: r = − 0.3184, p = 0.0352). Systemic IL-8 correlated with impaired lung function (ECMO/ECLS: r = 0.3784, p = 0.0161) and neurological involvement (RASS mean: r = − 0.5132, p = 0.0007). IL-6 in BAL correlated better to the clinical course than systemic IL-6. Using three multivariate regression models, we describe prediction models for local and systemic damage as well as QoL. CO-Hb mean and max were associated with higher mortality. CONCLUSIONS: Our predictive models using the combination of Charlson Comorbidity Index, sex, procalcitonin, systemic TLR3 expression and IL-6 and IL-8 in BAL were able to describe a broad range of clinically relevant outcomes in patients with severe COVID-19-associated ARDS. Using these models might proof useful in risk stratification and predicting disease course in the future. Trial registration The trial was registered with the German Clinical Trials Register (Trial-ID DRKS00021522, registered 22/04/2020). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-07980-z.
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spelling pubmed-98324192023-01-11 Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis Lieberum, Jan Nikolaus Kaiser, Sandra Kalbhenn, Johannes Bürkle, Hartmut Schallner, Nils BMC Infect Dis Research BACKGROUND: As the COVID-19 pandemic strains healthcare systems worldwide, finding predictive markers of severe courses remains urgent. Most research so far was limited to selective questions hindering general assumptions for short- and long-term outcome. METHODS: In this prospective single-center biomarker study, 47 blood- and 21 bronchoalveolar lavage (BAL) samples were collected from 47 COVID-19 intensive care unit (ICU) patients upon admission. Expression of inflammatory markers toll-like receptor 3 (TLR3), heme oxygenase-1 (HO-1), interleukin (IL)-6, IL-8, leukocyte counts, procalcitonin (PCT) and carboxyhemoglobin (CO-Hb) was compared to clinical course. Clinical assessment comprised acute local organ damage, acute systemic damage, mortality and outcome after 6 months. RESULTS: PCT correlated with acute systemic damage and was the best predictor for quality of life (QoL) after 6 months (r = − 0.4647, p = 0.0338). Systemic TLR3 negatively correlated with impaired lung function (ECMO/ECLS: r = − 0.3810, p = 0.0107) and neurological short- (RASS mean: r = 0.4474, p = 0.0023) and long-term outcome (mRS after 6 m: r = − 0.3184, p = 0.0352). Systemic IL-8 correlated with impaired lung function (ECMO/ECLS: r = 0.3784, p = 0.0161) and neurological involvement (RASS mean: r = − 0.5132, p = 0.0007). IL-6 in BAL correlated better to the clinical course than systemic IL-6. Using three multivariate regression models, we describe prediction models for local and systemic damage as well as QoL. CO-Hb mean and max were associated with higher mortality. CONCLUSIONS: Our predictive models using the combination of Charlson Comorbidity Index, sex, procalcitonin, systemic TLR3 expression and IL-6 and IL-8 in BAL were able to describe a broad range of clinically relevant outcomes in patients with severe COVID-19-associated ARDS. Using these models might proof useful in risk stratification and predicting disease course in the future. Trial registration The trial was registered with the German Clinical Trials Register (Trial-ID DRKS00021522, registered 22/04/2020). SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-07980-z. BioMed Central 2023-01-11 /pmc/articles/PMC9832419/ /pubmed/36631778 http://dx.doi.org/10.1186/s12879-023-07980-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lieberum, Jan Nikolaus
Kaiser, Sandra
Kalbhenn, Johannes
Bürkle, Hartmut
Schallner, Nils
Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis
title Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis
title_full Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis
title_fullStr Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis
title_full_unstemmed Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis
title_short Predictive markers related to local and systemic inflammation in severe COVID-19-associated ARDS: a prospective single-center analysis
title_sort predictive markers related to local and systemic inflammation in severe covid-19-associated ards: a prospective single-center analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832419/
https://www.ncbi.nlm.nih.gov/pubmed/36631778
http://dx.doi.org/10.1186/s12879-023-07980-z
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