Extent of pulmonary involvement on admission predicts long-term pulmonary and muscular sequelae of COVID-19: A longitudinal computed tomography study

IF 2 Q2 RESPIRATORY SYSTEM
Takashi Shimada , Naoya Tanabe , Shotaro Chubachi , Takanori Asakura , Ho Namkoong , Hiromu Tanaka , Shuhei Azekawa , Shiro Otake , Kensuke Nakagawara , Takahiro Fukushima , Mayuko Watase , Tomoki Maetani , Yusuke Shiraishi , Hideki Terai , Mamoru Sasaki , Soichiro Ueda , Yukari Kato , Norihiro Harada , Shoji Suzuki , Shuichi Yoshida , Koichi Fukunaga
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引用次数: 0

Abstract

Background

Studies on the association between chest computed tomography (CT) findings of extensive pulmonary involvement and long-term pulmonary and extrapulmonary coronavirus disease 2019 (COVID-19) sequelae are lacking. This study aimed to investigate the relationship between the severity of pneumonia on admission and residual pulmonary and extrapulmonary complications at three months post-hospitalization.

Methods

Using data from the Japan COVID-19 Task Force database, we conducted quantitative analysis of CT scans of 164 patients obtained at admission and three months later. The parameters included pneumonia volume, total lung volume, and area and density of the pectoralis muscle (PM), subcutaneous and epicardial adipose tissue, and vertebral bone density.

Results

Patients with extensive pneumonia on admission had high residual pneumonia volumes, reduced lung volumes, and decreased area and density of PM at three months. No significant differences were observed in the adipose tissue or bone parameters. The severity of pneumonia at admission was independently associated with PM atrophy.

Conclusions

CT-based quantification of pneumonia extent during the acute phase of COVID-19 may be useful in predicting long-term pulmonary sequelae and muscle wasting. This approach may allow the objective evaluation of Long COVID and facilitate the identification of potential therapeutic targets.
入院时肺部受累程度可预测COVID-19的长期肺部和肌肉后遗症:一项纵向计算机断层扫描研究
背景:广泛肺部受累的胸部计算机断层扫描(CT)表现与长期肺部和肺外冠状病毒病2019 (COVID-19)后遗症之间的关系尚缺乏研究。本研究旨在探讨入院时肺炎严重程度与住院后3个月残留肺及肺外并发症的关系。方法:利用日本COVID-19工作队数据库的数据,对入院时和3个月后获得的164例患者的CT扫描进行定量分析。参数包括肺炎体积、肺总体积、胸肌(PM)面积和密度、皮下和心外膜脂肪组织、椎体骨密度。结果:入院时广泛肺炎患者肺炎残留体积高,肺体积减小,3个月PM面积和密度降低。在脂肪组织和骨骼参数方面没有观察到显著差异。入院时肺炎严重程度与PM萎缩独立相关。结论:基于ct的COVID-19急性期肺炎程度量化可能有助于预测长期肺部后遗症和肌肉萎缩。该方法可实现对Long COVID的客观评价,并有助于确定潜在的治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Respiratory investigation
Respiratory investigation RESPIRATORY SYSTEM-
CiteScore
4.90
自引率
6.50%
发文量
114
审稿时长
64 days
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