Your browser doesn't support javascript.
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.
Artículo en Inglés | 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.
Asunto(s)
Palabras clave

Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Cuidados Críticos / Grasa Intraabdominal / Grasa Subcutánea / COVID-19 / Hospitalización / Unidades de Cuidados Intensivos / Obesidad Tipo de estudio: Estudio observacional / Estudio pronóstico Tópicos: Covid persistente Límite: Adulto / Anciano / Femenino / Humanos / Masculino / Middle aged Idioma: Inglés Revista: Obes Res Clin Pract Año: 2021 Tipo del documento: Artículo País de afiliación: J.orcp.2020.12.002

Similares

MEDLINE

...
LILACS

LIS


Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Cuidados Críticos / Grasa Intraabdominal / Grasa Subcutánea / COVID-19 / Hospitalización / Unidades de Cuidados Intensivos / Obesidad Tipo de estudio: Estudio observacional / Estudio pronóstico Tópicos: Covid persistente Límite: Adulto / Anciano / Femenino / Humanos / Masculino / Middle aged Idioma: Inglés Revista: Obes Res Clin Pract Año: 2021 Tipo del documento: Artículo País de afiliación: J.orcp.2020.12.002