University Clinic for Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany.
University Clinic for Radiology and Nuclear Medicine, University Hospital Magdeburg, Magdeburg, Germany;
In Vivo. 2022 Jan-Feb;36(1):375-380. doi: 10.21873/invivo.12713.
BACKGROUND/AIM: The effect of sarcopenia on patients with severe Covid-19 disease is unknown. We aimed to assess the influence of baseline computed tomography (CT)-based body composition parameters (pectoralis muscle area, pectoralis muscle index, skeletal muscle gauge) on clinical variables in patients with severe Covid-19 disease.
Chest CT scans of adult patients with confirmed Covid-19 who were hospitalized from March 2020 to May 2021 at a level-one medical center in Germany were retrospectively analyzed. Pectoralis muscle area, pectoralis muscle index and skeletal muscle gauge were measured on the first CT scan after admission. Body composition parameters were assessed for association with clinical variables and 30-day mortality.
A total of 46 patients were included. None of the body composition parameters was a predictor for 30-day mortality, duration of hospital stay, duration of intensive care unit treatment, or duration of invasive mechanical ventilation.
Pectoralis muscle composition parameters in CT chest scans did not predict outcomes in adult patients with severe Covid-19 infection.
背景/目的:肌少症对重症 COVID-19 患者的影响尚不清楚。我们旨在评估基线 CT (计算机断层扫描)基于身体成分参数(胸肌面积、胸肌指数、骨骼肌计)对重症 COVID-19 患者临床变量的影响。
回顾性分析了 2020 年 3 月至 2021 年 5 月期间在德国一家一级医疗中心住院的确诊 COVID-19 成年患者的胸部 CT 扫描。入院后首次 CT 扫描时测量胸肌面积、胸肌指数和骨骼肌计。评估身体成分参数与临床变量和 30 天死亡率的关系。
共纳入 46 例患者。在这些患者中,没有任何身体成分参数可以预测 30 天死亡率、住院时间、重症监护病房治疗时间或有创机械通气时间。
CT 胸部扫描中的胸肌成分参数不能预测重症 COVID-19 感染成年患者的结局。