Dynamic Characteristics of Blood Platelet Count in COVID-19 Patients

Author:

An Jiang-Hong1,Qi Fu-Rong2,Cheng Xiao-Ya1,Liu Xun-Qi1,Luo Pu1,Chen Qiong1,Qian Shen2,Zhang Yi-Hui-Zhi3,Lian Li4,Guo Zhi4,Liu Lei5,Tan Xiao-Hua1

Affiliation:

1. Department of Oncology and Hematology, Shenzhen Third People’s Hospital, Shenzhen, 518112, Guangdong Province, China

2. Institute of Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People’s Hospital, Shenzhen, 518112, Guangdong Province, China

3. Department of Hematology & Oncology, National Cancer Center/National Clinical Research Cancer for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China

4. Department of Hematology & Oncology, National Cancer Center/National Clinical Research Cancer for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China

5. The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, 518112, Guangdong Province, China

Abstract

Background and purpose: Coronavirus disease 2019 (COVID-19) was spreading all over the world. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) primarily invades and infects the lungs of humans leading to COVID-19. Mild to severe clinical symptoms such as fever, cough, and shortness of breath were existed in those patients. One of the most common changes in these patients was abnormal blood routine. However, uncertainty remains regarding the dynamic characteristics of platelet in COVID-19 patients due to limited data. Therefore, we aimed to analyze the association between dynamic characteristics of blood platelet and disease severity, and to identify new monitoring indicators to treat the COVID-19 patients. Methods: In this cohort study, 398 COVID-19 patients treated in the Shenzhen Third People’s hospital from December 16, 2019 to March 26, 2020 were collected and participated. All data of participants including the clinical characteristics, imaging and laboratory information were collected. All patients included in our study were classified as four groups (mild, common, severe, and critical types) regarding clinical symptoms and relevant severe failures based on the Diagnosis Criteria. Platelet count was examined at the baseline and every 3–5 days during hospitalization. Results: The platelet count varied with clinical classifications. The platelet count in mild type was normal without significant fluctuation. While the blood platelet count of most common and severe patients had obvious fluctuations, showing as a dynamic change that first rose and then fell to the level at admission, which was consistent with the trend of lung inflammation. Bone marrow smears further showed that bone marrow hyperplasia was normal in mild, common and severe type patients, and megakaryocytes and their platelet-producing functions were not abnormal. Conclusions: Our results suggested that the dynamic changes of platelet count might be a predictor of lung inflammation alteration for COVID-19 patients. The changes in platelet count might be a responsive pattern secondary to lung inflammation. The function of bone marrow may be slightly affected by SARS-CoV-2 infection.

Publisher

American Scientific Publishers

Subject

Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology

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