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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.
  • Pediconi F; Department of Radiological, Oncological and Pathological Sciences, Università degli Studi di Roma "La Sapienza", Viale Regina Elena 324, 00161 Roma, Italy.
  • Rizzo V; Department of Radiological, Oncological and Pathological Sciences, Università degli Studi di Roma "La Sapienza", Viale Regina Elena 324, 00161 Roma, Italy.
  • Schiaffino S; Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy. Electronic address: simone.schiaffino@grupposandonato.it.
  • Cozzi A; Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Luigi Mangiagalli 31, 20133 Milano, Italy.
  • Della Pepa G; Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122 Milano, Italy.
  • Galati F; Department of Radiological, Oncological and Pathological Sciences, Università degli Studi di Roma "La Sapienza", Viale Regina Elena 324, 00161 Roma, Italy.
  • Catalano C; Department of Radiological, Oncological and Pathological Sciences, Università degli Studi di Roma "La Sapienza", Viale Regina Elena 324, 00161 Roma, Italy.
  • Sardanelli F; 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.
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Critical Care / Intra-Abdominal Fat / Subcutaneous Fat / COVID-19 / Hospitalization / Intensive Care Units / Obesity Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Obes Res Clin Pract Year: 2021 Document Type: Article Affiliation country: J.orcp.2020.12.002

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Critical Care / Intra-Abdominal Fat / Subcutaneous Fat / COVID-19 / Hospitalization / Intensive Care Units / Obesity Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: English Journal: Obes Res Clin Pract Year: 2021 Document Type: Article Affiliation country: J.orcp.2020.12.002