当前位置: X-MOL 学术Inflamm. Res. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A simple and readily available inflammation-based risk scoring system on admission predicts the need for mechanical ventilation in patients with COVID-19
Inflammation Research ( IF 6.7 ) Pub Date : 2021-05-10 , DOI: 10.1007/s00011-021-01466-x
Luis M Amezcua-Guerra 1, 2 , Karen Audelo 2 , Juan Guzmán 2 , Diana Santiago 2 , Julieta González-Flores 1 , Carlos García-Ávila 1 , Zaira Torres 1 , Francisco Baranda-Tovar 3 , Claudia Tavera-Alonso 4 , Julio Sandoval 1 , Héctor González-Pacheco 5
Affiliation  

Objective

To investigate whether a simplified inflammation-based risk scoring system comprising three readily available biomarkers (albumin, C-reactive protein, and leukocytes) may predict major adverse outcomes in patients with COVID-19.

Methods

Upon admission to the emergency room, the inflammation-based risk scoring system was applied and patients were classified as having mild, moderate, or severe inflammation. In-hospital occurrence of thrombosis, need for mechanical ventilation, and death were recorded.

Results

One-hundred patients (55 ± 13 years; 71% men) were included and classified as having mild (29%), moderate (12%), or severe (59%) inflammation. The need for mechanical ventilation differed among patients in each group (16%, 50%, and 71%, respectively; P < 0.0001), yielding a 4.1-fold increased risk of requiring mechanical ventilation in patients with moderate inflammation and 5.4 for those with severe inflammation. On the contrary, there were no differences for the occurrence of thrombosis (10%, 8%, and 22%, respectively; P = 0.142) or death (21%, 42%, and 39%, respectively; P = 0.106). In the multivariate analysis, only severe inflammation (hazard ratio [HR] = 4.1), D-dimer > 574 ng/mL (HR = 3.0), and troponin I ≥ 6.7 ng/mL (HR = 2.4) at hospital admission were independent predictors of the need for mechanical ventilation.

Conclusion

The inflammation-based risk scoring system predicts the need for mechanical ventilation in patients with severe COVID-19.



中文翻译:

一个简单且现成的基于炎症的入院风险评分系统可预测 COVID-19 患者对机械通气的需求

客观的

研究包含三种现成生物标志物(白蛋白、C 反应蛋白和白细胞)的简化的基于炎症的风险评分系统是否可以预测 COVID-19 患者的主要不良后果。

方法

进入急诊室后,应用基于炎症的风险评分系统,将患者分为轻度、中度或重度炎症。记录院内血栓形成、机械通气需求和死亡情况。

结果

100 名患者(55 ± 13 岁;71% 为男性)被纳入并分为轻度 (29%)、中度 (12%) 或重度 (59%) 炎症。各组患者对机械通气的需求不同(分别为 16%、50% 和 71%;P  < 0.0001),导致中度炎症患者需要机械通气的风险增加 4.1 倍,炎症患者需要机械通气的风险增加 5.4。严重的炎症。相反,血栓形成(分别为 10%、8% 和 22%;P  = 0.142)或死亡(分别为 21%、42% 和 39%;P = 0.106)。在多变量分析中,只有入院时的严重炎症(风险比 [HR] = 4.1)、D-二聚体 > 574 ng/mL(HR = 3.0)和肌钙蛋白 I ≥ 6.7 ng/mL(HR = 2.4)是独立的机械通气需求的预测指标。

结论

基于炎症的风险评分系统预测重症 COVID-19 患者需要机械通气。

更新日期:2021-05-11
down
wechat
bug