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Altered pulmonary blood volume distribution as a biomarker for predicting outcomes in COVID-19 disease
European Respiratory Journal ( IF 16.6 ) Pub Date : 2021-09-16 , DOI: 10.1183/13993003.04133-2020
Michael F Morris 1, 2 , Yash Pershad 3 , Paul Kang 4 , Lauren Ridenour 2 , Ben Lavon 5 , Maarten Lanclus 5 , Rik Godon 5 , Jan De Backer 5 , Marilyn K Glassberg 2, 6
Affiliation  

Introduction

Evidence suggests that vascular inflammation and thrombosis may be important drivers of poor clinical outcomes in patients with COVID-19. We hypothesised that a significant decrease in the percentage of blood volume in vessels with a cross-sectional area between 1.25 and 5 mm2 relative to the total pulmonary blood volume (BV5%) on chest computed tomography (CT) in COVID-19 patients is predictive of adverse clinical outcomes.

Methods

We performed a retrospective analysis of chest CT scans from 10 hospitals across two US states in 313 COVID-19-positive and 195 COVID-19-negative patients seeking acute medical care.

Results

BV5% was predictive of outcomes in COVID-19 patients in a multivariate model, with a BV5% threshold below 25% associated with OR 5.58 for mortality, OR 3.20 for intubation and OR 2.54 for the composite of mortality or intubation. A model using age and BV5% had an area under the receiver operating characteristic curve of 0.85 to predict the composite of mortality or intubation in COVID-19 patients. BV5% was not predictive of clinical outcomes in patients without COVID-19.

Conclusions

The data suggest BV5% as a novel biomarker for predicting adverse outcomes in patients with COVID-19 seeking acute medical care.



中文翻译:


改变肺血容量分布作为预测 COVID-19 疾病结果的生物标志物


 介绍


有证据表明,血管炎症和血栓形成可能是导致 COVID-19 患者临床结果不佳的重要驱动因素。我们假设,在 COVID-19 患者胸部计算机断层扫描 (CT) 上,横截面积在 1.25 至 5 mm 2之间的血管中的血容量相对于肺总血容量 (BV5%) 的百分比显着下降预测不良临床结果。

 方法


我们对美国两个州 10 家医院的 313 名 COVID-19 阳性和 195 名寻求紧急医疗护理的 COVID-19 阴性患者的胸部 CT 扫描进行了回顾性分析。

 结果


BV5% 可预测多变量模型中 COVID-19 患者的结局,BV5% 阈值低于 25% 与死亡率 OR 5.58 相关,与插管相关 OR 3.20 相关,与死亡率或插管综合相关 OR 2.54 相关。使用年龄和 BV5% 的模型的受试者工作特征曲线下面积为 0.85,用于预测 COVID-19 患者的死亡率或插管的综合情况。 BV5% 不能预测未患 COVID-19 的患者的临床结果。

 结论


数据表明,BV5% 可作为一种新型生物标志物,用于预测寻求紧急医疗护理的 COVID-19 患者的不良后果。

更新日期:2021-09-16
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