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Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence–radiological differences
OBJECTIVES: To evaluate the clinical pictures, laboratory tests and imaging of patients with lung involvement, either from severe COVID-19 or macrophage activation syndrome (MAS), in order to assess how similar these two diseases are. METHODS: The present work has been designed as a cross-sectional...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456556/ https://www.ncbi.nlm.nih.gov/pubmed/32719039 http://dx.doi.org/10.1136/annrheumdis-2020-218048 |
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author | Ruscitti, Piero Bruno, Federico Berardicurti, Onorina Acanfora, Chiara Pavlych, Viktoriya Palumbo, Pierpaolo Conforti, Alessandro Carubbi, Francesco Di Cola, Ilenia Di Benedetto, Paola Cipriani, Paola Grassi, Davide Masciocchi, Carlo Iagnocco, Annamaria Barile, Antonio Giacomelli, Roberto |
author_facet | Ruscitti, Piero Bruno, Federico Berardicurti, Onorina Acanfora, Chiara Pavlych, Viktoriya Palumbo, Pierpaolo Conforti, Alessandro Carubbi, Francesco Di Cola, Ilenia Di Benedetto, Paola Cipriani, Paola Grassi, Davide Masciocchi, Carlo Iagnocco, Annamaria Barile, Antonio Giacomelli, Roberto |
author_sort | Ruscitti, Piero |
collection | PubMed |
description | OBJECTIVES: To evaluate the clinical pictures, laboratory tests and imaging of patients with lung involvement, either from severe COVID-19 or macrophage activation syndrome (MAS), in order to assess how similar these two diseases are. METHODS: The present work has been designed as a cross-sectional single-centre study to compare characteristics of patients with lung involvement either from MAS or severe COVID-19. Chest CT scans were assessed by using an artificial intelligence (AI)-based software. RESULTS: Ten patients with MAS and 47 patients with severe COVID-19 with lung involvement were assessed. Although all patients showed fever and dyspnoea, patients with MAS were characterised by thrombocytopaenia, whereas patients with severe COVID-19 were characterised by lymphopaenia and neutrophilia. Higher values of H-score characterised patients with MAS when compared with severe COVID-19. AI-reconstructed images of chest CT scan showed that apical, basal, peripheral and bilateral distributions of ground-glass opacities (GGOs), as well as apical consolidations, were more represented in severe COVID-19 than in MAS. C reactive protein directly correlated with GGOs extension in both diseases. Furthermore, lymphopaenia inversely correlated with GGOs extension in severe COVID-19. CONCLUSIONS: Our data could suggest laboratory and radiological differences between MAS and severe COVID-19, paving the way for further hypotheses to be investigated in future confirmatory studies. |
format | Online Article Text |
id | pubmed-7456556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-74565562020-09-04 Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence–radiological differences Ruscitti, Piero Bruno, Federico Berardicurti, Onorina Acanfora, Chiara Pavlych, Viktoriya Palumbo, Pierpaolo Conforti, Alessandro Carubbi, Francesco Di Cola, Ilenia Di Benedetto, Paola Cipriani, Paola Grassi, Davide Masciocchi, Carlo Iagnocco, Annamaria Barile, Antonio Giacomelli, Roberto Ann Rheum Dis Epidemiology OBJECTIVES: To evaluate the clinical pictures, laboratory tests and imaging of patients with lung involvement, either from severe COVID-19 or macrophage activation syndrome (MAS), in order to assess how similar these two diseases are. METHODS: The present work has been designed as a cross-sectional single-centre study to compare characteristics of patients with lung involvement either from MAS or severe COVID-19. Chest CT scans were assessed by using an artificial intelligence (AI)-based software. RESULTS: Ten patients with MAS and 47 patients with severe COVID-19 with lung involvement were assessed. Although all patients showed fever and dyspnoea, patients with MAS were characterised by thrombocytopaenia, whereas patients with severe COVID-19 were characterised by lymphopaenia and neutrophilia. Higher values of H-score characterised patients with MAS when compared with severe COVID-19. AI-reconstructed images of chest CT scan showed that apical, basal, peripheral and bilateral distributions of ground-glass opacities (GGOs), as well as apical consolidations, were more represented in severe COVID-19 than in MAS. C reactive protein directly correlated with GGOs extension in both diseases. Furthermore, lymphopaenia inversely correlated with GGOs extension in severe COVID-19. CONCLUSIONS: Our data could suggest laboratory and radiological differences between MAS and severe COVID-19, paving the way for further hypotheses to be investigated in future confirmatory studies. BMJ Publishing Group 2020-09 2020-07-21 /pmc/articles/PMC7456556/ /pubmed/32719039 http://dx.doi.org/10.1136/annrheumdis-2020-218048 Text en © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ. This article is made freely available for use in accordance with BMJ’s website terms and conditions for the duration of the covid-19 pandemic or until otherwise determined by BMJ. You may use, download and print the article for any lawful, non-commercial purpose (including text and data mining) provided that all copyright notices and trade marks are retained.https://bmj.com/coronavirus/usage |
spellingShingle | Epidemiology Ruscitti, Piero Bruno, Federico Berardicurti, Onorina Acanfora, Chiara Pavlych, Viktoriya Palumbo, Pierpaolo Conforti, Alessandro Carubbi, Francesco Di Cola, Ilenia Di Benedetto, Paola Cipriani, Paola Grassi, Davide Masciocchi, Carlo Iagnocco, Annamaria Barile, Antonio Giacomelli, Roberto Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence–radiological differences |
title | Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence–radiological differences |
title_full | Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence–radiological differences |
title_fullStr | Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence–radiological differences |
title_full_unstemmed | Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence–radiological differences |
title_short | Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence–radiological differences |
title_sort | lung involvement in macrophage activation syndrome and severe covid-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence–radiological differences |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456556/ https://www.ncbi.nlm.nih.gov/pubmed/32719039 http://dx.doi.org/10.1136/annrheumdis-2020-218048 |
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