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红细胞分布宽度与 COVID-19 患者死亡率的关系。

Association between red blood cell distribution width and mortality of COVID-19 patients.

机构信息

Intensive Care Unit, Hospital Universitario de Canarias, Ofra, s/n. La Laguna, 38320 Santa Cruz de Tenerife, Spain.

Intensive Care Unit, Hospital Universitario Nuestra Señora de Candelaria, Crta del Rosario s/n, Santa Cruz de Tenerife 38010, Spain.

出版信息

Anaesth Crit Care Pain Med. 2021 Feb;40(1):100777. doi: 10.1016/j.accpm.2020.10.013. Epub 2020 Nov 7.

DOI:10.1016/j.accpm.2020.10.013
PMID:33171297
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7648194/
Abstract

PURPOSE

We have previously reported an association between high red blood cell distribution width (RDW) and mortality in septic and brain infarction patients. However, no association between RDW and mortality in coronavirus disease 2019 (COVID-19) patients has been reported so far; thus, the objective of this study was to determine if that association exists.

METHODS

Prospective and observational study carried out in 8 Intensive Care Units from 6 hospitals of Canary Islands (Spain) including COVID-19 patients. We recorded RDW at ICU admission and 30-day survival.

RESULTS

We found that patients who did not survive (n=25) compared to surviving patients (n=118) were older (p=0.004), showed higher RDW (p=0.001), urea (p<0.001), APACHE-II (p<0.001) and SOFA (p<0.001), and lower platelet count (p=0.007) and pH (p=0.008). Multiple binomial logistic regression analysis showed that RDW was associated with 30-day mortality after controlling for: SOFA and age (OR=1.659; 95% CI=1.130-2.434; p=0.01); APACHE-II and platelet count (OR=2.062; 95% CI=1.359-3.129; p=0.001); and pH and urea (OR=1.797; 95% CI=1.250-2.582; p=0.002). The area under the curve (AUC) of RDW for mortality prediction was of 71% (95% CI=63-78%; p<0.001). We did not find significant differences in the predictive capacity between RDW and SOFA (p=0.66) or between RDW and APACHE-II (p=0.12).

CONCLUSIONS

Our study provides new information regarding the ability to predict mortality in patients with COVID-19. There is an association between high RDW and mortality. RDW has a good performance to predict 30-day mortality, similar to other severity scores (such as APACHE II and SOFA) but easier and faster to obtain.

摘要

目的

我们之前报道过高红细胞分布宽度(RDW)与败血症和脑梗死患者死亡之间存在关联。然而,到目前为止,还没有关于 RDW 与 2019 年冠状病毒病(COVID-19)患者死亡之间存在关联的报道;因此,本研究的目的是确定是否存在这种关联。

方法

这是一项在西班牙加那利群岛的 6 家医院的 8 个重症监护病房进行的前瞻性和观察性研究,包括 COVID-19 患者。我们记录了患者入住重症监护病房时和 30 天时的 RDW 和生存率。

结果

与存活患者(n=118)相比,未存活患者(n=25)的年龄更大(p=0.004),RDW 更高(p=0.001)、尿素(p<0.001)、急性生理学和慢性健康评估 II 评分(APACHE-II)(p<0.001)和序贯器官衰竭评估(SOFA)评分(p<0.001)更低,血小板计数(p=0.007)和 pH 值(p=0.008)更低。多元二项逻辑回归分析表明,在控制 SOFA 和年龄后,RDW 与 30 天死亡率相关(OR=1.659;95%CI=1.130-2.434;p=0.01);APACHE-II 和血小板计数(OR=2.062;95%CI=1.359-3.129;p=0.001);pH 值和尿素(OR=1.797;95%CI=1.250-2.582;p=0.002)。RDW 对死亡率预测的曲线下面积(AUC)为 71%(95%CI=63-78%;p<0.001)。我们没有发现 RDW 和 SOFA(p=0.66)或 RDW 和 APACHE-II(p=0.12)之间的预测能力存在显著差异。

结论

我们的研究提供了关于预测 COVID-19 患者死亡率的新信息。RDW 与死亡率之间存在关联。RDW 对预测 30 天死亡率具有良好的性能,与其他严重程度评分(如 APACHE II 和 SOFA)相似,但更简单、更快获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be61/7648194/2f3ae83e6edd/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be61/7648194/2f3ae83e6edd/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be61/7648194/2f3ae83e6edd/gr2_lrg.jpg

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