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CT 体成分参数在 COVID-19 病程中的作用。

Role of CT-based body composition parameters in the course of COVID-19.

机构信息

Department of Radiology, Tepecik Training and Research Hospital, Health Sciences University, İzmir, Turkiye.

Department of Radiology, Faculty of Medicine, Adıyaman University, Adıyaman, Turkiye.

出版信息

Turk J Med Sci. 2024 Apr 24;54(5):1071-1081. doi: 10.55730/1300-0144.5886. eCollection 2024.

DOI:10.55730/1300-0144.5886
Abstract

BACKGROUND/AIM: A significant correlation is observed between the course of coronavirus disease 2019 (COVID-19) and body composition parameters including visceral fat quantification, muscle mass, and hepatic attenuation. The aim of the study was to investigate the correlation between the extent of lung involvement and various computed tomography (CT) parameters, as well as laboratory findings in COVID-19 patients.

MATERIALS AND METHODS

A retrospective analysis was conducted on 72 adult patients with laboratory-confirmed severe acute respiratory syndrome coronavirus 2 infection who underwent two consecutive thorax CT scans at least 2 weeks apart. The patients were divided into two groups, as progressive and nonprogressive, based on the presence of two consecutive CT scans. Skeletal muscle area (SMA), subcutaneous fat area (SFA), visceral fat area (VFA), total fat area (TFA), liver-to-spleen (L/S) density ratio, and laboratory findings were compared between the groups. The correlation between the extent of lung involvement and CT parameters, as well as the laboratory findings were assessed.

RESULTS

A total of 72 patients were included in the study, with 34 (47.2%) females and 38 (52.8%) males. Hemoglobin levels were significantly lower in the progressive group compared to the nonprogressive group. C-reactive protein (CRP) values were higher in the progressive group at follow-up. The nonprogressive group exhibited decreases in the SFA, VFA, and TFA, while liver density increased. The progressive group showed a decrease in the twelfth thoracic vertebra (T12) paravertebral muscle area and muscle index.

CONCLUSION

In the comparison of the laboratory and radiological data in the course of COVID-19, white blood cell (WBC) and neutrophil counts increased, SMA T12, and the skeletal muscle index (SMI) decreased in the lung progressive group. Hemoglobin and CRP levels at admission may indicate disease progression. Future studies are warranted to increase the reliability with larger series.

摘要

背景/目的:新冠肺炎(COVID-19)的病程与包括内脏脂肪定量、肌肉质量和肝衰减在内的身体成分参数之间存在显著相关性。本研究旨在探讨 COVID-19 患者肺部受累程度与各种计算机断层扫描(CT)参数以及实验室检查结果之间的相关性。

材料和方法

对 72 例经实验室确诊的严重急性呼吸综合征冠状病毒 2 感染成年患者进行回顾性分析,这些患者至少相隔 2 周接受了两次连续的胸部 CT 扫描。根据两次连续 CT 扫描的结果,将患者分为进展组和非进展组。比较两组之间的骨骼肌面积(SMA)、皮下脂肪面积(SFA)、内脏脂肪面积(VFA)、总脂肪面积(TFA)、肝脾密度比以及实验室检查结果。评估肺部受累程度与 CT 参数以及实验室检查结果之间的相关性。

结果

本研究共纳入 72 例患者,其中女性 34 例(47.2%),男性 38 例(52.8%)。进展组的血红蛋白水平明显低于非进展组。在随访时,进展组的 C 反应蛋白(CRP)值更高。非进展组的 SFA、VFA 和 TFA 减少,而肝脏密度增加。进展组的第 12 胸椎(T12)椎旁肌肉面积和肌肉指数下降。

结论

在 COVID-19 病程中比较实验室和影像学数据时,肺部进展组的白细胞(WBC)和中性粒细胞计数增加,T12 节段 SMA 和骨骼肌指数(SMI)下降。入院时的血红蛋白和 CRP 水平可能预示疾病进展。需要进一步的研究来增加更大系列的可靠性。

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本文引用的文献

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Diagn Interv Radiol. 2023 Jul 20;29(4):363-370. doi: 10.4274/dir.2022.221730. Epub 2022 Dec 21.
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Sarcopenic obesity and therapeutic outcomes in gastrointestinal surgical oncology: A meta-analysis.肌肉减少性肥胖与胃肠外科肿瘤学的治疗结果:一项荟萃分析。
Front Nutr. 2022 Jul 22;9:921817. doi: 10.3389/fnut.2022.921817. eCollection 2022.
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Prevalence of Sarcopenia in Patients With COVID-19: A Systematic Review and Meta-Analysis.
新型冠状病毒肺炎患者中肌肉减少症的患病率:一项系统评价和荟萃分析。
Front Nutr. 2022 Jul 4;9:925606. doi: 10.3389/fnut.2022.925606. eCollection 2022.
4
Prediction of abdominal CT body composition parameters by thoracic measurements as a new approach to detect sarcopenia in a COVID-19 cohort.通过胸部测量预测腹部 CT 体成分参数,作为一种新方法来检测 COVID-19 队列中的肌肉减少症。
Sci Rep. 2022 Apr 19;12(1):6443. doi: 10.1038/s41598-022-10266-0.
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Computed tomography-defined body composition as prognostic markers for unfavourable outcomes and in-hospital mortality in coronavirus disease 2019.计算机断层扫描定义的身体成分作为 2019 年冠状病毒病不良结局和住院死亡率的预后标志物。
J Cachexia Sarcopenia Muscle. 2022 Feb;13(1):159-168. doi: 10.1002/jcsm.12868. Epub 2022 Jan 12.
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