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为新冠肺炎患者计算CT累及评分:预后预测及对治疗的影响

Assigning computed tomography involvement score in COVID-19 patients: prognosis prediction and impact on management.

作者信息

Malpani Dhoot Nilu, Goenka Usha, Ghosh Somali, Jajodia Surabhi, Chand Rashmi, Majumdar Sanjib, Ramasubban Suresh

机构信息

Department of Clinical Imaging and Intervention Radiology, Apollo Gleneagles Hospital, Kolkata, West Bengal, India.

Department of Critical Care, Apollo Gleneagles Hospital, Kolkata, West Bengal, India.

出版信息

BJR Open. 2020 Aug 20;2(1):20200024. doi: 10.1259/bjro.20200024. eCollection 2020.

Abstract

OBJECTIVE

Chest CT can provide a simple quantitative assessment of the extent of the parenchymal opacities in COVID-19 patients. In this study, we postulate that CT findings can be used to ascertain the overall disease burden and predict the clinical outcome.

METHODS

In this prospective study undertaken from March 28, 2020, until May 20, 2020, 142 patients with CT features suggestive of viral pneumonia, and positive RT-PCR for COVID-19 were enrolled. A dedicated spiral CT scanner was used for all COVID-19 suspects. CT features were reported as typical, indeterminate, or atypical for COVID-19 pneumonia. A CT involvement score (CT-IS) was given to each scan and assigned mild, moderate, or severe category depending on the score range. The patients were followed up for at least 15 days.

RESULTS

Ground glass opacity was present in 100% of the patients. There was a significant association between CT-IS and the final outcome of the patients. A statistically significant increasing trend of mortality and requirement of critical medical attention was observed with the rising value of CT-IS in COVID-19.

CONCLUSION

The severe CT-IS score group has a high mortality. The CT-IS score could be valuable in predicting clinical outcome and could also be useful in triage of patients needing hospital admission. In situations where healthcare resources are limited, and patient load high, a more careful approach for patients with higher CT-IS scores could be indispensable.

ADVANCES IN KNOWLEDGE

CT-IS is a simple quantitative method for assessing the disease burden of COVID-19 cases. It can be invaluable in places with limited resources and high patient load to segregate patients requiring critical medical attention.

摘要

目的

胸部CT能够对新型冠状病毒肺炎(COVID-19)患者肺实质混浊程度进行简单定量评估。在本研究中,我们推测CT表现可用于确定整体疾病负担并预测临床结局。

方法

在这项于2020年3月28日至2020年5月20日进行的前瞻性研究中,纳入了142例具有病毒性肺炎CT特征且COVID-19逆转录聚合酶链反应(RT-PCR)呈阳性的患者。所有COVID-19疑似患者均使用专用螺旋CT扫描仪进行检查。CT表现被报告为COVID-19肺炎的典型、不确定或非典型表现。对每次扫描给予一个CT累及评分(CT-IS),并根据评分范围分为轻度、中度或重度类别。对患者进行了至少15天的随访。

结果

所有患者均存在磨玻璃影。CT-IS与患者的最终结局之间存在显著关联。在COVID-19患者中,随着CT-IS值的升高,观察到死亡率和重症医疗需求有统计学意义的上升趋势。

结论

CT-IS评分高的组死亡率高。CT-IS评分在预测临床结局方面可能有价值,也有助于对需要住院的患者进行分诊。在医疗资源有限且患者负荷高的情况下,对CT-IS评分较高的患者采取更谨慎的处理方法可能必不可少。

知识进展

CT-IS是一种评估COVID-19病例疾病负担的简单定量方法。在资源有限且患者负荷高的地方,它对于区分需要重症医疗的患者可能非常宝贵。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3230/7583351/6ece065978e8/bjro.20200024.g001.jpg

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