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新型冠状病毒感染后患者预后与人体成分的关系。

Impact of body composition on patient prognosis after SARS-Cov-2 infection.

机构信息

Department of General Medicine, Mie University Hospital, Tsu, Japan.

Department of Clinical Laboratory, Mie University Hospital, Tsu, Japan.

出版信息

PLoS One. 2023 Jul 28;18(7):e0289206. doi: 10.1371/journal.pone.0289206. eCollection 2023.

Abstract

BACKGROUND

Since the first outbreak of coronavirus disease 2019 (COVID-19), it has been reported that several factors, including hypertension, type 2 diabetes mellitus, and obesity, have close relationships with a severe clinical course. However, the relationship between body composition and the prognosis of COVID-19 has not yet been fully studied.

METHODS

The present study enrolled 76 consecutive COVID-19 patients with computed tomography (CT) scans from the chest to the pelvis at admission. The patients who needed intubation and mechanical ventilation were defined as severe cases. Patients were categorized into four groups according to their body mass index (BMI). The degree of hepatic steatosis was estimated by the liver/spleen (L/S) ratio of the CT values. Visceral fat area (VFA), psoas muscle area (PMA), psoas muscle mass index (PMI), and intra-muscular adipose tissue content (IMAC) were measured by CT scan tracing. These parameters were compared between non-severe and severe cases.

RESULTS

Severe patients had significantly higher body weight, higher BMI, and greater VFA than non-severe patients. However, these parameters did not have an effect on disease mortality. Furthermore, severe cases had higher IMAC than non-severe cases in the non-obese group.

CONCLUSIONS

Our data suggest high IMAC can be a useful predictor for severe disease courses of COVID-19 in non-obese Japanese patients, however, it does not predict either disease severity in obese patients or mortality in any obesity grade.

摘要

背景

自 2019 年冠状病毒病(COVID-19)首次爆发以来,已有报道称,高血压、2 型糖尿病和肥胖等多种因素与严重的临床病程密切相关。然而,身体成分与 COVID-19 预后之间的关系尚未得到充分研究。

方法

本研究纳入了 76 例连续的 COVID-19 患者,他们在入院时进行了胸部到骨盆的计算机断层扫描(CT)检查。需要插管和机械通气的患者被定义为重症病例。根据体重指数(BMI)将患者分为四组。通过 CT 值的肝/脾(L/S)比值来估计肝脂肪变性程度。通过 CT 扫描追踪测量内脏脂肪面积(VFA)、腰大肌面积(PMA)、腰大肌质量指数(PMI)和肌内脂肪含量(IMAC)。比较非重症和重症病例之间这些参数的差异。

结果

重症患者的体重、BMI 和 VFA 显著高于非重症患者。然而,这些参数对疾病死亡率没有影响。此外,在非肥胖组中,重症患者的 IMAC 高于非重症患者。

结论

我们的数据表明,高 IMAC 可作为非肥胖日本 COVID-19 患者严重疾病病程的有用预测指标,但不能预测肥胖患者的疾病严重程度或任何肥胖程度的死亡率。

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