Red cell distribution width (RDW): a prognostic indicator of severe COVID-19

被引:56
作者
Wang, Changzheng [1 ]
Zhang, Hongmei [2 ]
Cao, Xiaocui [2 ]
Deng, Rongrong [3 ]
Ye, Yi [4 ]
Fu, Zhongxiao [1 ]
Gou, Liyao [4 ]
Shao, Feng [5 ]
Li, Jin [4 ]
Fu, Weiyang [6 ]
Zhang, Xiaomei [4 ]
Ding, Xiao [1 ]
Xiao, Jianping [4 ]
Wu, Chuanjian [4 ]
Li, Tao [1 ]
Qi, Huan [4 ]
Li, Chengbin [1 ]
Lu, Zhongxin [2 ]
机构
[1] Yangtze Univ, Dept Lab Med, Clin Med Coll 2, Jingzhou, Peoples R China
[2] Huazhong Univ Sci & Technol, Cent Hosp Wuhan, Dept Lab Med, Tongji Med Coll, Wuhan, Peoples R China
[3] Yangtze Univ, Pediat Med Ctr, Clin Med Coll 2, Jingzhou, Peoples R China
[4] Shenzhen Mindray Biomed Elect Co Ltd, Clin Dept IVD, Shenzhen, Peoples R China
[5] Yangtze Univ, Dept Intens Care Unit ICU, Clin Med Coll 2, Jingzhou, Peoples R China
[6] Jingzhou Infect Dis Hosp, Dept Resp Med, Jingzhou, Peoples R China
关键词
Red cell distribution width (RDW); novel coronavirus (SARS-Cov-2); COVID-19; receiver operating characteristic (ROC); linear discriminant analysis (LDA); prognostic indicator;
D O I
10.21037/atm-20-6090
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Role of neutrophil to lymphocyte ratio as a prognostic indicator for COVID-19
    Amer, Samar A.
    Albeladi, Omar A.
    Elshabrawy, Arafa M.
    Alsharief, Naif H.
    Alnakhli, Fatimah M.
    Almugathaui, Amani F.
    Almashahadi, Samar S.
    Dawood, Hosam M.
    Malik, Muhammad Bilal
    Shah, Jaffer
    Aiash, Hani
    [J]. HEALTH SCIENCE REPORTS, 2021, 4 (04)
  • [22] Strain imaging as a prognostic indicator for complications in COVID-19 patients
    Devera, Justin L.
    Wee, Choo P.
    Sohn, Jina
    [J]. INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2024, 40 (09) : 1835 - 1846
  • [23] Evaluation of eosinopenia as a diagnostic and prognostic indicator in COVID-19 infection
    Soni, Mamta
    [J]. INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY, 2021, 43 : 137 - 141
  • [24] Haemoglobin and red cell distribution width levels in internal medicine patients indicate recurrent hospital admission during COVID-19
    Tel, Burcin Atak
    Kahveci, Gizem
    Bilgin, Satilmis
    Kurtkulagi, Ozge
    Duman, Tuba Taslamacioglu
    Demirkol, Muhammed
    Aktas, Gulali
    [J]. FAMILY MEDICINE AND PRIMARY CARE REVIEW, 2022, 24 (01) : 32 - 36
  • [25] Prolonged prothrombin time as an early prognostic indicator of severe acute respiratory distress syndrome in patients with COVID-19 related pneumonia
    Baranovskii, Denis S.
    Klabukov, Ilya D.
    Krasilnikova, Olga A.
    Nikogosov, Dimitri A.
    Polekhina, Natalia, V
    Baranovskaia, Delyara R.
    Laberko, Leonid A.
    [J]. CURRENT MEDICAL RESEARCH AND OPINION, 2021, 37 (01) : 21 - 25
  • [26] Association Between Red Blood Cell Distribution Width and COVID-19 Severity in Delta Variant SARS-CoV-2 Infection
    Zhang, Jianguo
    Hu, Jianhui
    Huang, Xing
    Fu, Shixiang
    Ding, Daoyin
    Tao, Zhimin
    [J]. FRONTIERS IN MEDICINE, 2022, 9
  • [27] Can Serum ACE Level Be Used as a Prognostic Indicator in COVID-19?
    Bayyigit, Akif
    Acar, Mehmet A.
    Kulahli, Pinar
    Simsek, Funda
    Adas, Mine
    [J]. CLINICAL LABORATORY, 2022, 68 (02) : 353 - 358
  • [28] The Value of Interleukin-17A as a Prognostic Indicator in COVID-19 Patients
    Karasahin, Emine Fusun
    Sebin, Engin
    Sen, Irem Akin
    Karasahin, Omer
    [J]. JUNDISHAPUR JOURNAL OF MICROBIOLOGY, 2022, 15 (11)
  • [29] Burden and prevalence of prognostic factors for severe COVID-19 in Sweden
    Gemes, Katalin
    Talback, Mats
    Modig, Karin
    Ahlbom, Anders
    Berglund, Anita
    Feychting, Maria
    Matthews, Anthony A.
    [J]. EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2020, 35 (05) : 401 - 409
  • [30] Burden and prevalence of prognostic factors for severe COVID-19 in Sweden
    Katalin Gémes
    Mats Talbäck
    Karin Modig
    Anders Ahlbom
    Anita Berglund
    Maria Feychting
    Anthony A. Matthews
    [J]. European Journal of Epidemiology, 2020, 35 : 401 - 409