Department of Radiological, Oncological and Pathological Sciences, Università degli Studi di Roma "La Sapienza", Viale Regina Elena 324, 00161 Roma, Italy.
Unit of Radiology, IRCCS Policlinico San Donato, Via Rodolfo Morandi 30, 20097 San Donato Milanese, Italy.
Obes Res Clin Pract. 2021 Jan-Feb;15(1):89-92. doi: 10.1016/j.orcp.2020.12.002. Epub 2020 Dec 11.
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.
我们回顾性研究了 62 例连续住院的 COVID-19 患者(年龄 70±14 岁,男性 40 例),探讨了 CT 衍生的皮下脂肪组织和内脏脂肪组织(VAT)指标的预后价值,并在有和没有预先存在的合并症的情况下,在四个预测 ICU 入住的模型中对其进行了测试。多变量逻辑回归确定 VAT 评分是 ICU 入住的最佳预测指标(优势比 4.307-12.842)。在受试者工作特征分析中,合并症的相关性不大(基于 CT 的模型的曲线下面积为 0.821,包括合并症的模型为 0.834),这突出了 CT 衍生的肺和脂肪组织指标在预后方面的一站式潜在作用。