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定量分析 COVID-19 肺部损伤的延伸和分布:一项基于胸部计算机断层扫描的前瞻性研究。

A quantitative analysis of extension and distribution of lung injury in COVID-19: a prospective study based on chest computed tomography.

机构信息

Anesthesiology and Intensive Care, Department of Surgical Sciences, Uppsala University, Akademiska sjukhuset, Uppsala, Sweden.

Hedenstierna Laboratory, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.

出版信息

Crit Care. 2021 Aug 4;25(1):276. doi: 10.1186/s13054-021-03685-4.

Abstract

BACKGROUND

Typical features differentiate COVID-19-associated lung injury from acute respiratory distress syndrome. The clinical role of chest computed tomography (CT) in describing the progression of COVID-19-associated lung injury remains to be clarified. We investigated in COVID-19 patients the regional distribution of lung injury and the influence of clinical and laboratory features on its progression.

METHODS

This was a prospective study. For each CT, twenty images, evenly spaced along the cranio-caudal axis, were selected. For regional analysis, each CT image was divided into three concentric subpleural regions of interest and four quadrants. Hyper-, normally, hypo- and non-inflated lung compartments were defined. Nonparametric tests were used for hypothesis testing (α = 0.05). Spearman correlation test was used to detect correlations between lung compartments and clinical features.

RESULTS

Twenty-three out of 111 recruited patients were eligible for further analysis. Five hundred-sixty CT images were analyzed. Lung injury, composed by hypo- and non-inflated areas, was significantly more represented in subpleural than in core lung regions. A secondary, centripetal spread of lung injury was associated with exposure to mechanical ventilation (p < 0.04), longer spontaneous breathing (more than 14 days, p < 0.05) and non-protective tidal volume (p < 0.04). Positive fluid balance (p < 0.01), high plasma D-dimers (p < 0.01) and ferritin (p < 0.04) were associated with increased lung injury.

CONCLUSIONS

In a cohort of COVID-19 patients with severe respiratory failure, a predominant subpleural distribution of lung injury is observed. Prolonged spontaneous breathing and high tidal volumes, both causes of patient self-induced lung injury, are associated to an extensive involvement of more central regions. Positive fluid balance, inflammation and thrombosis are associated with lung injury. Trial registration Study registered a priori the 20th of March, 2020. Clinical Trials ID NCT04316884.

摘要

背景

COVID-19 相关肺损伤与急性呼吸窘迫综合征有典型特征。胸部 CT(chest computed tomography)在描述 COVID-19 相关肺损伤进展中的临床作用仍需阐明。我们在 COVID-19 患者中研究了肺损伤的区域分布以及临床和实验室特征对其进展的影响。

方法

这是一项前瞻性研究。每例 CT 扫描选择 20 张沿头尾轴均匀分布的图像。为了进行区域分析,将每例 CT 图像分为三个同心的胸膜下感兴趣区和四个象限。定义高、正常、低和非膨胀肺区。使用非参数检验进行假设检验(α=0.05)。Spearman 相关检验用于检测肺区与临床特征之间的相关性。

结果

在招募的 111 例患者中,23 例符合进一步分析的条件。共分析了 560 张 CT 图像。由低膨胀和非膨胀区组成的肺损伤在胸膜下区比在核心肺区更为明显。肺损伤的继发、向心性扩展与机械通气(p<0.04)、较长时间的自主呼吸(超过 14 天,p<0.05)和非保护性潮气量(p<0.04)有关。正液平衡(p<0.01)、高血浆 D-二聚体(p<0.01)和铁蛋白(p<0.04)与肺损伤增加相关。

结论

在一组患有严重呼吸衰竭的 COVID-19 患者中,观察到以胸膜下分布为主的肺损伤。自主呼吸时间延长和潮气量过高,这两者都是导致患者肺损伤的原因,与更中心区域的广泛受累有关。正液平衡、炎症和血栓形成与肺损伤有关。

试验注册

研究于 2020 年 3 月 20 日预先注册。临床试验注册号:NCT04316884。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f68/8336286/a0312bb41b52/13054_2021_3685_Fig1_HTML.jpg

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