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A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial

BACKGROUND: Lung weight may be measured with quantitative chest computed tomography (CT) in patients with COVID-19 to characterize the severity of pulmonary edema and assess prognosis. However, this quantitative analysis is often not accessible, which led to the hypothesis that specific laboratory d...

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Autores principales: Silva, Pedro L., Cruz, Fernanda F., Martins, Camila M., Herrmann, Jacob, Gerard, Sarah E., Xin, Yi, Cereda, Maurizio, Ball, Lorenzo, Pelosi, Paolo, Rocco, Patricia R. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228825/
https://www.ncbi.nlm.nih.gov/pubmed/37261117
http://dx.doi.org/10.3389/fmed.2023.1137784
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author Silva, Pedro L.
Cruz, Fernanda F.
Martins, Camila M.
Herrmann, Jacob
Gerard, Sarah E.
Xin, Yi
Cereda, Maurizio
Ball, Lorenzo
Pelosi, Paolo
Rocco, Patricia R. M.
author_facet Silva, Pedro L.
Cruz, Fernanda F.
Martins, Camila M.
Herrmann, Jacob
Gerard, Sarah E.
Xin, Yi
Cereda, Maurizio
Ball, Lorenzo
Pelosi, Paolo
Rocco, Patricia R. M.
author_sort Silva, Pedro L.
collection PubMed
description BACKGROUND: Lung weight may be measured with quantitative chest computed tomography (CT) in patients with COVID-19 to characterize the severity of pulmonary edema and assess prognosis. However, this quantitative analysis is often not accessible, which led to the hypothesis that specific laboratory data may help identify overweight lungs. METHODS: This cross-sectional study was a secondary analysis of data from SARITA2, a randomized clinical trial comparing nitazoxanide and placebo in patients with COVID-19 pneumonia. Adult patients (≥18 years) requiring supplemental oxygen due to COVID-19 pneumonia were enrolled between April 20 and October 15, 2020, in 19 hospitals in Brazil. The weight of the lungs as well as laboratory data [hemoglobin, leukocytes, neutrophils, lymphocytes, C-reactive protein, D-dimer, lactate dehydrogenase (LDH), and ferritin] and 47 additional specific blood biomarkers were assessed. RESULTS: Ninety-three patients were included in the study: 46 patients presented with underweight lungs (defined by ≤0% of excess lung weight) and 47 patients presented with overweight lungs (>0% of excess lung weight). Leukocytes, neutrophils, D-dimer, and LDH were higher in patients with overweight lungs. Among the 47 blood biomarkers investigated, interferon alpha 2 protein was higher and leukocyte inhibitory factor was lower in patients with overweight lungs. According to CombiROC analysis, the combinations of D-dimer/LDH/leukocytes, D-dimer/LDH/neutrophils, and D-dimer/LDH/leukocytes/neutrophils achieved the highest area under the curve with the best accuracy to detect overweight lungs. CONCLUSION: The combinations of these specific laboratory data: D-dimer/LDH/leukocytes or D-dimer/LDH/neutrophils or D-dimer/LDH/leukocytes/neutrophils were the best predictors of overweight lungs in patients with COVID-19 pneumonia at hospital admission. CLINICAL TRIAL REGISTRATION: Brazilian Registry of Clinical Trials (REBEC) number RBR-88bs9x and ClinicalTrials.gov number NCT04561219.
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spelling pubmed-102288252023-05-31 A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial Silva, Pedro L. Cruz, Fernanda F. Martins, Camila M. Herrmann, Jacob Gerard, Sarah E. Xin, Yi Cereda, Maurizio Ball, Lorenzo Pelosi, Paolo Rocco, Patricia R. M. Front Med (Lausanne) Medicine BACKGROUND: Lung weight may be measured with quantitative chest computed tomography (CT) in patients with COVID-19 to characterize the severity of pulmonary edema and assess prognosis. However, this quantitative analysis is often not accessible, which led to the hypothesis that specific laboratory data may help identify overweight lungs. METHODS: This cross-sectional study was a secondary analysis of data from SARITA2, a randomized clinical trial comparing nitazoxanide and placebo in patients with COVID-19 pneumonia. Adult patients (≥18 years) requiring supplemental oxygen due to COVID-19 pneumonia were enrolled between April 20 and October 15, 2020, in 19 hospitals in Brazil. The weight of the lungs as well as laboratory data [hemoglobin, leukocytes, neutrophils, lymphocytes, C-reactive protein, D-dimer, lactate dehydrogenase (LDH), and ferritin] and 47 additional specific blood biomarkers were assessed. RESULTS: Ninety-three patients were included in the study: 46 patients presented with underweight lungs (defined by ≤0% of excess lung weight) and 47 patients presented with overweight lungs (>0% of excess lung weight). Leukocytes, neutrophils, D-dimer, and LDH were higher in patients with overweight lungs. Among the 47 blood biomarkers investigated, interferon alpha 2 protein was higher and leukocyte inhibitory factor was lower in patients with overweight lungs. According to CombiROC analysis, the combinations of D-dimer/LDH/leukocytes, D-dimer/LDH/neutrophils, and D-dimer/LDH/leukocytes/neutrophils achieved the highest area under the curve with the best accuracy to detect overweight lungs. CONCLUSION: The combinations of these specific laboratory data: D-dimer/LDH/leukocytes or D-dimer/LDH/neutrophils or D-dimer/LDH/leukocytes/neutrophils were the best predictors of overweight lungs in patients with COVID-19 pneumonia at hospital admission. CLINICAL TRIAL REGISTRATION: Brazilian Registry of Clinical Trials (REBEC) number RBR-88bs9x and ClinicalTrials.gov number NCT04561219. Frontiers Media S.A. 2023-05-16 /pmc/articles/PMC10228825/ /pubmed/37261117 http://dx.doi.org/10.3389/fmed.2023.1137784 Text en Copyright © 2023 Silva, Cruz, Martins, Herrmann, Gerard, Xin, Cereda, Ball, Pelosi and Rocco. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Silva, Pedro L.
Cruz, Fernanda F.
Martins, Camila M.
Herrmann, Jacob
Gerard, Sarah E.
Xin, Yi
Cereda, Maurizio
Ball, Lorenzo
Pelosi, Paolo
Rocco, Patricia R. M.
A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial
title A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial
title_full A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial
title_fullStr A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial
title_full_unstemmed A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial
title_short A specific combination of laboratory data is associated with overweight lungs in patients with COVID-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial
title_sort specific combination of laboratory data is associated with overweight lungs in patients with covid-19 pneumonia at hospital admission: secondary cross-sectional analysis of a randomized clinical trial
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228825/
https://www.ncbi.nlm.nih.gov/pubmed/37261117
http://dx.doi.org/10.3389/fmed.2023.1137784
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