Le Corre Alexia, Maamar Adel, Lederlin Mathieu, Terzi Nicolas, Tadié Jean-Marc, Gacouin Arnaud
CHU Rennes, Service de Maladies Infectieuses et Réanimation Médicale, Hôpital Pontchaillou, Université de Rennes 1, 2, rue Henri Le Guilloux, Rennes cedex 9, 35033, France.
Service de radiologie, Hôpital Pontchaillou, Université de Rennes, Rennes, France.
Pneumonia (Nathan). 2025 Jun 5;17(1):14. doi: 10.1186/s41479-025-00166-y.
Computed tomography (CT) analysis of lung morphology has significantly advanced our understanding of acute respiratory distress syndrome (ARDS). During the Coronavirus Disease 2019 (COVID-19) pandemic, CT imaging was widely utilized to evaluate lung injury and was suggested as a tool for predicting patient outcomes. However, data specifically focused on patients with ARDS admitted to intensive care units (ICUs) remain limited.
This retrospective study analyzed patients admitted to ICUs between March 2020 and November 2022 with moderate to severe COVID-19 ARDS. All CT scans performed within 48 h of ICU admission were independently reviewed by three experts. Lung injury severity was quantified using the CT Severity Score (CT-SS; range 0-25). Patients were categorized as having severe disease (CT-SS ≥ 18) or non-severe disease (CT-SS < 18). The primary outcome was all-cause mortality at 90 days. Secondary outcomes included ICU mortality and medical complications during the ICU stay. Additionally, we evaluated a computer-assisted CT-score assessment using artificial intelligence software (CT Pneumonia Analysis, SIEMENS Healthcare) to explore the feasibility of automated measurement and routine implementation.
A total of 215 patients with moderate to severe COVID-19 ARDS were included. The median CT-SS at admission was 18/25 [interquartile range, 15-21]. Among them, 120 patients (56%) had a severe CT-SS (≥ 18), while 95 patients (44%) had a non-severe CT-SS (< 18). The 90-day mortality rates were 20.8% for the severe group and 15.8% for the non-severe group (p = 0.35). No significant association was observed between CT-SS severity and patient outcomes.
In patients with moderate to severe COVID-19 ARDS, systematic CT assessment of lung parenchymal injury was not a reliable predictor of 90-day mortality or ICU-related complications.
计算机断层扫描(CT)对肺部形态的分析显著增进了我们对急性呼吸窘迫综合征(ARDS)的理解。在2019冠状病毒病(COVID-19)大流行期间,CT成像被广泛用于评估肺损伤,并被建议作为预测患者预后的工具。然而,专门针对入住重症监护病房(ICU)的ARDS患者的数据仍然有限。
这项回顾性研究分析了2020年3月至2022年11月期间入住ICU的中度至重度COVID-19 ARDS患者。由三位专家独立审查在ICU入院后48小时内进行的所有CT扫描。使用CT严重程度评分(CT-SS;范围0-25)对肺损伤严重程度进行量化。患者被分类为患有严重疾病(CT-SS≥18)或非严重疾病(CT-SS<18)。主要结局是90天的全因死亡率。次要结局包括ICU死亡率和ICU住院期间的医疗并发症。此外,我们使用人工智能软件(CT肺炎分析,西门子医疗)评估了计算机辅助CT评分评估,以探索自动测量和常规实施的可行性。
共纳入215例中度至重度COVID-19 ARDS患者。入院时CT-SS的中位数为18/25[四分位间距,15-21]。其中,120例患者(56%)的CT-SS严重(≥18),而9例5患者(44%)的CT-SS非严重(<18)。严重组的90天死亡率为20.8%,非严重组为15.8%(p=0.35)。未观察到CT-SS严重程度与患者预后之间存在显著关联。
在中度至重度COVID-19 ARDS患者中,对肺实质损伤进行系统的CT评估并非90天死亡率或ICU相关并发症的可靠预测指标。