新型冠状病毒感染病情和预后相关人口学特征及实验室指标与放射学因素

COVID-19 infection illness condition and prognosis related demographic characteristics, laboratory indicators and radiological factors

  • 摘要: 新型冠状病毒感染(COVID-19)是由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的呼吸道综合征。SARS-CoV-2在武汉(中国湖北省)一经发现,迅速引起在中国及世界各地广泛传播,对全球健康与经济造成严重威胁。随着人工智能(AI)技术发展及开源软件的开放和应用,COVID-19胸部放射学定量研究取得巨大进展,能够将放射图像资料定量数据化,对COVID-19预后研究又增加一强有力指标。故研究回顾了目前COVID-19严重程度和预后预测因素的文献,对人口统计学、实验室指标与放射学因素进行归纳和综述,帮助COVID-19患者进行危险分层及预后判断,协助患者临床管理与治疗。

     

    Abstract: Coronavirus disease 2019 (COVID-19) is a respiratory syndrome caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Once SARS-CoV-2 was detected in Wuhan (Hubei Province, China), it rapidly spread widely across China and the world, posing a serious threat to global health and the economy. With the development of Artificial Intelligence (AI) technology and the openness and application of open-source software, tremendous progress has been achieved in the quantitative study of chest radiology for COVID-19, enabling the quantitative dataization of radiological image data, which adds a powerful indicator to the prognosis study of COVID-19. Therefore, we reviewed the current literature on the factors predicting the severity and prognosis of COVID-19, and summarized demographic, laboratory and radiological factors to help with risk stratification and prognosis assessment for COVID-19 patients and assist in their clinical management and treatment.

     

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