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Low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with COVID-19

Inflammatory states and body composition changes are associated with a poor prognosis in many diseases, but their role in coronavirus disease 2019 (COVID-19) is not fully understood. To assess the impact of low skeletal muscle radiodensity (SMD), high neutrophil-to-lymphocyte ratio (NLR) and a compo...

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Autores principales: Padilha, Daniela M. H., Mendes, Maria C. S., Lascala, Fabiana, Silveira, Marina N., Pozzuto, Lara, Santos, Larissa A. O., Guerra, Lívia D., Moreira, Rafaella C. L., Branbilla, Sandra R., Junior, Ademar D. C., Duarte, Mateus B. O., Moretti, Maria L., Carvalheira, José B. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488878/
https://www.ncbi.nlm.nih.gov/pubmed/36127500
http://dx.doi.org/10.1038/s41598-022-20126-6
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author Padilha, Daniela M. H.
Mendes, Maria C. S.
Lascala, Fabiana
Silveira, Marina N.
Pozzuto, Lara
Santos, Larissa A. O.
Guerra, Lívia D.
Moreira, Rafaella C. L.
Branbilla, Sandra R.
Junior, Ademar D. C.
Duarte, Mateus B. O.
Moretti, Maria L.
Carvalheira, José B. C.
author_facet Padilha, Daniela M. H.
Mendes, Maria C. S.
Lascala, Fabiana
Silveira, Marina N.
Pozzuto, Lara
Santos, Larissa A. O.
Guerra, Lívia D.
Moreira, Rafaella C. L.
Branbilla, Sandra R.
Junior, Ademar D. C.
Duarte, Mateus B. O.
Moretti, Maria L.
Carvalheira, José B. C.
author_sort Padilha, Daniela M. H.
collection PubMed
description Inflammatory states and body composition changes are associated with a poor prognosis in many diseases, but their role in coronavirus disease 2019 (COVID-19) is not fully understood. To assess the impact of low skeletal muscle radiodensity (SMD), high neutrophil-to-lymphocyte ratio (NLR) and a composite score based on both variables, on complications, use of ventilatory support, and survival in patients with COVID-19. Medical records of patients hospitalized between May 1, 2020, and July 31, 2020, with a laboratory diagnosis of COVID-19 who underwent computed tomography (CT) were retrospectively reviewed. CT-derived body composition measurements assessed at the first lumbar vertebra level, and laboratory tests performed at diagnosis, were used to calculate SMD and NLR. Prognostic values were estimated via univariate and multivariate logistic regression analyses and the Kaplan–Meier curve. The study was approved by the local Institutional Review Board (CAAE 36276620.2.0000.5404). A total of 200 patients were included. Among the patients assessed, median age was 59 years, 58% were men and 45% required ICU care. A total of 45 (22.5%) patients died. Multivariate logistic analysis demonstrated that a low SMD (OR 2.94; 95% CI 1.13–7.66, P = 0.027), high NLR (OR 3.96; 95% CI 1.24–12.69, P = 0.021) and both low SMD and high NLR (OR 25.58; 95% CI 2.37–276.71, P = 0.008) combined, were associated with an increased risk of death. Patients who had both low SMD and high NLR required more mechanical ventilation (P < 0.001) and were hospitalized for a longer period (P < 0.001). Low SMD, high NLR and the composite score can predict poor prognosis in patients with COVID-19, and can be used as a tool for early identification of patients at risk. Systemic inflammation and low muscle radiodensity are useful predictors of poor prognosis, and the assessment of these factors in clinical practice should be considered.
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spelling pubmed-94888782022-09-21 Low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with COVID-19 Padilha, Daniela M. H. Mendes, Maria C. S. Lascala, Fabiana Silveira, Marina N. Pozzuto, Lara Santos, Larissa A. O. Guerra, Lívia D. Moreira, Rafaella C. L. Branbilla, Sandra R. Junior, Ademar D. C. Duarte, Mateus B. O. Moretti, Maria L. Carvalheira, José B. C. Sci Rep Article Inflammatory states and body composition changes are associated with a poor prognosis in many diseases, but their role in coronavirus disease 2019 (COVID-19) is not fully understood. To assess the impact of low skeletal muscle radiodensity (SMD), high neutrophil-to-lymphocyte ratio (NLR) and a composite score based on both variables, on complications, use of ventilatory support, and survival in patients with COVID-19. Medical records of patients hospitalized between May 1, 2020, and July 31, 2020, with a laboratory diagnosis of COVID-19 who underwent computed tomography (CT) were retrospectively reviewed. CT-derived body composition measurements assessed at the first lumbar vertebra level, and laboratory tests performed at diagnosis, were used to calculate SMD and NLR. Prognostic values were estimated via univariate and multivariate logistic regression analyses and the Kaplan–Meier curve. The study was approved by the local Institutional Review Board (CAAE 36276620.2.0000.5404). A total of 200 patients were included. Among the patients assessed, median age was 59 years, 58% were men and 45% required ICU care. A total of 45 (22.5%) patients died. Multivariate logistic analysis demonstrated that a low SMD (OR 2.94; 95% CI 1.13–7.66, P = 0.027), high NLR (OR 3.96; 95% CI 1.24–12.69, P = 0.021) and both low SMD and high NLR (OR 25.58; 95% CI 2.37–276.71, P = 0.008) combined, were associated with an increased risk of death. Patients who had both low SMD and high NLR required more mechanical ventilation (P < 0.001) and were hospitalized for a longer period (P < 0.001). Low SMD, high NLR and the composite score can predict poor prognosis in patients with COVID-19, and can be used as a tool for early identification of patients at risk. Systemic inflammation and low muscle radiodensity are useful predictors of poor prognosis, and the assessment of these factors in clinical practice should be considered. Nature Publishing Group UK 2022-09-20 /pmc/articles/PMC9488878/ /pubmed/36127500 http://dx.doi.org/10.1038/s41598-022-20126-6 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
Padilha, Daniela M. H.
Mendes, Maria C. S.
Lascala, Fabiana
Silveira, Marina N.
Pozzuto, Lara
Santos, Larissa A. O.
Guerra, Lívia D.
Moreira, Rafaella C. L.
Branbilla, Sandra R.
Junior, Ademar D. C.
Duarte, Mateus B. O.
Moretti, Maria L.
Carvalheira, José B. C.
Low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with COVID-19
title Low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with COVID-19
title_full Low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with COVID-19
title_fullStr Low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with COVID-19
title_full_unstemmed Low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with COVID-19
title_short Low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with COVID-19
title_sort low skeletal muscle radiodensity and neutrophil-to-lymphocyte ratio as predictors of poor outcome in patients with covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488878/
https://www.ncbi.nlm.nih.gov/pubmed/36127500
http://dx.doi.org/10.1038/s41598-022-20126-6
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