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Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients
We retrospectively investigated, in 62 consecutive hospitalised COVID-19 patients (aged 70 ± 14 years, 40 males), the prognostic value of CT-derived subcutaneous adipose tissue and visceral adipose tissue (VAT) metrics, testing them in four predictive models for admission to intensive care unit (ICU...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd on behalf of Asia Oceania Association for the Study of Obesity.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836243/ https://www.ncbi.nlm.nih.gov/pubmed/33358147 http://dx.doi.org/10.1016/j.orcp.2020.12.002 |
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author | Pediconi, Federica Rizzo, Veronica Schiaffino, Simone Cozzi, Andrea Della Pepa, Gianmarco Galati, Francesca Catalano, Carlo Sardanelli, Francesco |
author_facet | Pediconi, Federica Rizzo, Veronica Schiaffino, Simone Cozzi, Andrea Della Pepa, Gianmarco Galati, Francesca Catalano, Carlo Sardanelli, Francesco |
author_sort | Pediconi, Federica |
collection | PubMed |
description | We retrospectively investigated, in 62 consecutive hospitalised COVID-19 patients (aged 70 ± 14 years, 40 males), the prognostic value of CT-derived subcutaneous adipose tissue and visceral adipose tissue (VAT) metrics, testing them in four predictive models for admission to intensive care unit (ICU), with and without pre-existing comorbidities. Multivariate logistic regression identified VAT score as the best ICU admission predictor (odds ratios 4.307–12.842). A non-relevant contribution of comorbidities at receiver operating characteristic analysis (area under the curve 0.821 for the CT-based model, 0.834 for the one including comorbidities) highlights the potential one-stop-shop prognostic role of CT-derived lung and adipose tissue metrics. |
format | Online Article Text |
id | pubmed-7836243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Elsevier Ltd on behalf of Asia Oceania Association for the Study of Obesity. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78362432021-01-26 Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients Pediconi, Federica Rizzo, Veronica Schiaffino, Simone Cozzi, Andrea Della Pepa, Gianmarco Galati, Francesca Catalano, Carlo Sardanelli, Francesco Obes Res Clin Pract Article We retrospectively investigated, in 62 consecutive hospitalised COVID-19 patients (aged 70 ± 14 years, 40 males), the prognostic value of CT-derived subcutaneous adipose tissue and visceral adipose tissue (VAT) metrics, testing them in four predictive models for admission to intensive care unit (ICU), with and without pre-existing comorbidities. Multivariate logistic regression identified VAT score as the best ICU admission predictor (odds ratios 4.307–12.842). A non-relevant contribution of comorbidities at receiver operating characteristic analysis (area under the curve 0.821 for the CT-based model, 0.834 for the one including comorbidities) highlights the potential one-stop-shop prognostic role of CT-derived lung and adipose tissue metrics. Published by Elsevier Ltd on behalf of Asia Oceania Association for the Study of Obesity. 2021 2020-12-11 /pmc/articles/PMC7836243/ /pubmed/33358147 http://dx.doi.org/10.1016/j.orcp.2020.12.002 Text en © 2020 Published by Elsevier Ltd on behalf of Asia Oceania Association for the Study of Obesity. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Pediconi, Federica Rizzo, Veronica Schiaffino, Simone Cozzi, Andrea Della Pepa, Gianmarco Galati, Francesca Catalano, Carlo Sardanelli, Francesco Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients |
title | Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients |
title_full | Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients |
title_fullStr | Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients |
title_full_unstemmed | Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients |
title_short | Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients |
title_sort | visceral adipose tissue area predicts intensive care unit admission in covid-19 patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836243/ https://www.ncbi.nlm.nih.gov/pubmed/33358147 http://dx.doi.org/10.1016/j.orcp.2020.12.002 |
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