Dynamic profile and clinical implications of hematological parameters in hospitalized patients with coronavirus disease 2019
Dynamic profile and clinical implications of hematological parameters in hospitalized patients with coronavirus disease 2019
复制标题
DOI：
10.1515/cclm-2020-0411
复制
发表时间：
2020-08-01
影响因子：
6.8
通讯作者：
Liu, Zhizhong
中科院分区：
文献类型：
--
作者：
Ding, Xiurong;Yu, Yanhua;Liu, Zhizhong
Objectives: As people across the world suffer from coronavirus disease 2019 (COVID-19), further studies are needed to facilitate evaluating the severity and prognosis of COVID-19 patients. In the study, we aimed to dissect the dynamic profile and clinical implications of hematological findings in hospitalized patients with COVID-19.Methods: We retrospectively analyzed the hematological findings of 72 patients with COVID-19 admitted from January 21 to February 17, 2020. The final date of follow-up was March 20, 2020. Dynamic profile of vital hematological parameters in severe and non-severe patients was presented at different time points (day 1, 5, 7, 9, 11, 13, 15 after admission), and the correlation of hematological parameters with hospitalization time was indicated.Results: Of 72 patients with COVID-19, lymphopenia and leu-kopenia occurred in 39 (54.2%) and 20 (27.8%) patients with COVID-19, respectively. Fifteen (20.8%) patients were defined as severe cases and 57 (79.2%) were non-severe cases. Compared to non-severe patients, leukocyte count, neutrophil count and neutrophil-to-lymphocyte ratio (NLR) were significantly higher, whereas lymphocyte count was declined in severe patients at each time point. A growing trend in platelet count was found in non-severe patients over the follow-up period. In addition, a positive correlation of NLR with hospitalization time was detected from day 5 after admission.Conclusions: Dynamic changes in vital hematological parameters from severe and non-severe patients had been characterized in the course of hospitalization. During hospitalization, NLR was found to have certain relevance to the hospitalization days and a role in forecasting disease prognosis for patients with COVID-19.
