Tags

Type your tag names separated by a space and hit enter

Red cell distribution width (RDW): a prognostic indicator of severe COVID-19.
Ann Transl Med. 2020 Oct; 8(19):1230.AT

Abstract

Background

The global mortality rate for coronavirus disease 2019 (COVID-19) is 3.68%, but the mortality rate for critically ill patients is as high as 50%. Therefore, the exploration of prognostic predictors for patients with COVID-19 is vital for prompt clinical intervention. Our study aims to explore the predictive value of hematological parameters in the prognosis of patients with severe COVID-19.

Methods

Ninety-eight patients who were diagnosed with COVID-19 at Jingzhou Central Hospital and Central Hospital of Wuhan, Hubei Province, were included in this study.

Results

The median age of the patients was 59 [28-80] years; the median age of patients with a good prognosis was 56 [28-79] years, and the median age of patients with a poor outcome was 67 [35-80] years. The patients in the poor outcome group were older than the patients in the good outcome group (P<0.05). The comparison of hematological parameters showed that lymphocyte count (Lym#), red blood cells (RBCs), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and mean corpuscular hemoglobin (MCH) were significantly lower in the poor outcome group than in the good outcome group (P<0.05). Further, the red cell volume distribution width-CV (RDW-CV) and red cell volume distribution width-SD (RDW-SD) were significantly higher in the poor outcome group than in the good outcome group (P<0.0001). Receiver operating characteristic (ROC) curves showed RDW-SD, with an area under the ROC curve (AUC) of 0.870 [95% confidence interval (CI) 0.796-0.943], was the most significant single parameter for predicting the prognosis of severe patients. When the cut-off value was 42.15, the sensitivity and specificity of RDW-SD for predicting the prognosis of severe patients were 73.1% and 80.2%, respectively. Reticulocyte (RET) channel results showed the RET level was significantly higher in critical patients than in moderate patients and severe patients (P<0.05), which may be one cause of the elevated RDW in patients with a poor outcome.

Conclusions

In this study, the hematological parameters of COVID-19 patients were statistically analyzed. RDW was found to be a prognostic predictor for patients with severe COVID-19, and the increase in RET may contribute to elevated RDW.

Authors+Show Affiliations

Department of Laboratory Medicine, The Second Clinical Medical College, Yangtze University, Jingzhou, China.Department of Laboratory Medicine, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.Department of Laboratory Medicine, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.Pediatric Medical Center, The Second Clinical Medical College, Yangtze University, Jingzhou, China.Clinical Department (IVD), Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.Department of Laboratory Medicine, The Second Clinical Medical College, Yangtze University, Jingzhou, China.Clinical Department (IVD), Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.Department of Intensive Care Unit (ICU), The Second Clinical Medical College, Yangtze University, Jingzhou, China.Clinical Department (IVD), Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.Department of Respiratory Medicine, Jingzhou Infectious Disease Hospital, Jingzhou, China.Clinical Department (IVD), Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.Department of Laboratory Medicine, The Second Clinical Medical College, Yangtze University, Jingzhou, China.Clinical Department (IVD), Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.Clinical Department (IVD), Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.Department of Laboratory Medicine, The Second Clinical Medical College, Yangtze University, Jingzhou, China.Clinical Department (IVD), Shenzhen Mindray Bio-Medical Electronics Co., Ltd, Shenzhen, China.Department of Laboratory Medicine, The Second Clinical Medical College, Yangtze University, Jingzhou, China.Department of Laboratory Medicine, the Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33178762

Citation

Wang, Changzheng, et al. "Red Cell Distribution Width (RDW): a Prognostic Indicator of Severe COVID-19." Annals of Translational Medicine, vol. 8, no. 19, 2020, p. 1230.
Wang C, Zhang H, Cao X, et al. Red cell distribution width (RDW): a prognostic indicator of severe COVID-19. Ann Transl Med. 2020;8(19):1230.
Wang, C., Zhang, H., Cao, X., Deng, R., Ye, Y., Fu, Z., Gou, L., Shao, F., Li, J., Fu, W., Zhang, X., Ding, X., Xiao, J., Wu, C., Li, T., Qi, H., Li, C., & Lu, Z. (2020). Red cell distribution width (RDW): a prognostic indicator of severe COVID-19. Annals of Translational Medicine, 8(19), 1230. https://doi.org/10.21037/atm-20-6090
Wang C, et al. Red Cell Distribution Width (RDW): a Prognostic Indicator of Severe COVID-19. Ann Transl Med. 2020;8(19):1230. PubMed PMID: 33178762.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Red cell distribution width (RDW): a prognostic indicator of severe COVID-19. AU - Wang,Changzheng, AU - Zhang,Hongmei, AU - Cao,Xiaocui, AU - Deng,Rongrong, AU - Ye,Yi, AU - Fu,Zhongxiao, AU - Gou,Liyao, AU - Shao,Feng, AU - Li,Jin, AU - Fu,Weiyang, AU - Zhang,Xiaomei, AU - Ding,Xiao, AU - Xiao,Jianping, AU - Wu,Chuanjian, AU - Li,Tao, AU - Qi,Huan, AU - Li,Chengbin, AU - Lu,Zhongxin, PY - 2020/11/12/entrez PY - 2020/11/13/pubmed PY - 2020/11/13/medline KW - COVID-19 KW - Red cell distribution width (RDW) KW - linear discriminant analysis (LDA) KW - novel coronavirus (SARS-Cov-2) KW - prognostic indicator KW - receiver operating characteristic (ROC) SP - 1230 EP - 1230 JF - Annals of translational medicine JO - Ann Transl Med VL - 8 IS - 19 N2 - Background: The global mortality rate for coronavirus disease 2019 (COVID-19) is 3.68%, but the mortality rate for critically ill patients is as high as 50%. Therefore, the exploration of prognostic predictors for patients with COVID-19 is vital for prompt clinical intervention. Our study aims to explore the predictive value of hematological parameters in the prognosis of patients with severe COVID-19. Methods: Ninety-eight patients who were diagnosed with COVID-19 at Jingzhou Central Hospital and Central Hospital of Wuhan, Hubei Province, were included in this study. Results: The median age of the patients was 59 [28-80] years; the median age of patients with a good prognosis was 56 [28-79] years, and the median age of patients with a poor outcome was 67 [35-80] years. The patients in the poor outcome group were older than the patients in the good outcome group (P<0.05). The comparison of hematological parameters showed that lymphocyte count (Lym#), red blood cells (RBCs), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and mean corpuscular hemoglobin (MCH) were significantly lower in the poor outcome group than in the good outcome group (P<0.05). Further, the red cell volume distribution width-CV (RDW-CV) and red cell volume distribution width-SD (RDW-SD) were significantly higher in the poor outcome group than in the good outcome group (P<0.0001). Receiver operating characteristic (ROC) curves showed RDW-SD, with an area under the ROC curve (AUC) of 0.870 [95% confidence interval (CI) 0.796-0.943], was the most significant single parameter for predicting the prognosis of severe patients. When the cut-off value was 42.15, the sensitivity and specificity of RDW-SD for predicting the prognosis of severe patients were 73.1% and 80.2%, respectively. Reticulocyte (RET) channel results showed the RET level was significantly higher in critical patients than in moderate patients and severe patients (P<0.05), which may be one cause of the elevated RDW in patients with a poor outcome. Conclusions: In this study, the hematological parameters of COVID-19 patients were statistically analyzed. RDW was found to be a prognostic predictor for patients with severe COVID-19, and the increase in RET may contribute to elevated RDW. SN - 2305-5839 UR - https://www.unboundmedicine.com/medline/citation/33178762/Red_cell_distribution_width__RDW_:_a_prognostic_indicator_of_severe_COVID_19_ L2 - https://doi.org/10.21037/atm-20-6090 DB - PRIME DP - Unbound Medicine ER -
Try the Free App:
Prime PubMed app for iOS iPhone iPad
Prime PubMed app for Android
Prime PubMed is provided
free to individuals by:
Unbound Medicine.