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...

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Detalles Bibliográficos
Autores principales: Pediconi, Federica, Rizzo, Veronica, Schiaffino, Simone, Cozzi, Andrea, Della Pepa, Gianmarco, Galati, Francesca, Catalano, Carlo, Sardanelli, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd on behalf of Asia Oceania Association for the Study of Obesity. 2021
Materias:
Article
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
Descripción
Sumario: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.

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