Henry Brandon Michael, Benoit Justin Lee, Benoit Stefanie, Pulvino Christina, Berger Brandon A, Olivera Maria Helena Santos de, Crutchfield Christopher A, Lippi Giuseppe
Cardiac Intensive Care Unit, The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA.
Department of Emergency Medicine, University of Cincinnati, Cincinnati, OH 45221, USA.
Diagnostics (Basel). 2020 Aug 21;10(9):618. doi: 10.3390/diagnostics10090618.
Since previous evidence has demonstrated that red blood cell distribution width (RDW) may be a useful prognostic parameter in many critical illnesses and infectious diseases, we investigated the utility of RDW for monitoring patients with coronavirus disease 2019 (COVID-19). The study population consisted of 49 COVID-19 patients, including 16 (32.6%) with severe illness, 12 (24.5%) with severe acute kidney injury (AKI), and 8 (16.3%) requiring renal replacement therapy (RRT). The predictive value of blood tests, performed during emergency department evaluation, was then addressed. A progressive increase of RDW was observed with advancing COVID-19 severity. The area under the curve (AUC) of RDW was 0.73 for predicting severe illness, 0.80 for severe AKI, and 0.83 for RRT, respectively. In multivariate analysis, elevated RDW was associated with 9-fold and 16-fold increased odds of severe COVID-19 and AKI, respectively. The results of this study suggest that RDW should be part of routine laboratory assessment and monitoring of COVID-19.
由于先前的证据表明红细胞分布宽度(RDW)可能是许多危重病和传染病中一个有用的预后参数,我们研究了RDW在监测2019冠状病毒病(COVID-19)患者中的效用。研究人群包括49例COVID-19患者,其中16例(32.6%)为重症患者,12例(24.5%)患有严重急性肾损伤(AKI),8例(16.3%)需要肾脏替代治疗(RRT)。然后探讨了在急诊科评估期间进行的血液检查的预测价值。随着COVID-19病情加重,观察到RDW逐渐升高。RDW预测重症的曲线下面积(AUC)为0.73,预测严重AKI的AUC为0.80,预测RRT的AUC为0.83。在多变量分析中,RDW升高分别与重症COVID-19和AKI的患病几率增加9倍和16倍相关。本研究结果表明,RDW应成为COVID-19常规实验室评估和监测的一部分。