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Obes Res Clin Pract ; 15(1): 89-92, 2021.
Article in English | MEDLINE | ID: covidwho-970655

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.


Subject(s)
COVID-19 , Critical Care , Hospitalization , Intensive Care Units , Intra-Abdominal Fat/metabolism , Obesity/metabolism , Subcutaneous Fat/metabolism , Adult , Aged , Aged, 80 and over , Area Under Curve , Body Mass Index , COVID-19/complications , COVID-19/metabolism , Female , Humans , Logistic Models , Male , Middle Aged , Obesity/complications , Obesity/epidemiology , Pandemics , Prognosis , ROC Curve , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index , Tomography, X-Ray Computed
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