Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients.
Authors/Creators
- 1. Department of Radiological, Oncological and Pathological Sciences, Università degli Studi di Roma "La Sapienza", Viale Regina Elena 324, 00161 Roma, Italy.
- 2. Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: simone.schiaffino@grupposandonato.it.
- 3. Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milano, Italy.
- 4. Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milano, Italy.
- 5. Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milano, Italy.
Description
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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