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

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NIAID Data Ecosystem2026-03-12 收录
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https://zenodo.org/record/5140823
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Dataset from the article Pediconi F, Rizzo V, Schiaffino S, Cozzi A, Della Pepa G, Galati F, Catalano C, Sardanelli F. Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients. Obes Res Clin Pract. 2021 Jan-Feb;15(1):89-92. doi: 10.1016/j.orcp.2020.12.002. Epub 2020 Dec 11. PMID: 33358147; PMCID: PMC7836243. 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.
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2021-07-28
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