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Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients.

ABSTRACT: 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.

SUBMITTER: Pediconi F

PROVIDER: S-EPMC7836243 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients.

Pediconi Federica F Rizzo Veronica V Schiaffino Simone S Cozzi Andrea A Della Pepa Gianmarco G Galati Francesca F Catalano Carlo C Sardanelli Francesco F

Obesity research & clinical practice 20201211 1

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 com ...[more]

PMID: 33358147

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