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.
Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients / Pediconi, Federica; Rizzo, Veronica; Schiaffino, Simone; Cozzi, Andrea; Della Pepa, Gianmarco; Galati, Francesca; Catalano, Carlo; Sardanelli, Francesco. - In: OBESITY RESEARCH & CLINICAL PRACTICE. - ISSN 1871-403X. - (2020). [10.1016/j.orcp.2020.12.002]
Visceral adipose tissue area predicts intensive care unit admission in COVID-19 patients
Pediconi, FedericaPrimo
;Rizzo, VeronicaSecondo
;Galati, Francesca;Catalano, CarloPenultimo
;
2020
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.File | Dimensione | Formato | |
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