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西安市新型冠状病毒肺炎患者淋巴细胞计数的动态变化与疾病进展分析

  • The First Affiliated Hospital of Xi’an Jiaotong University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Objective: To analyze the clinical characteristics of patients with coronavirus disease 2019 (COVID-19) in Xi'an so as to investigate the relationship between the dynamic changes of lymphocytes and the disease progression. Methods: We retrospectively analyzed the clinical data of 15 patients with COVID-19 in The First Affiliated Hospital of Xi'an Jiaotong University from January 22 to February 16, 2020. Results: Among the 15 patients with COVID-19, 8 were males and 7 were females, aged from 22 to 89 years. There were 12 ordinary cases (80%), 1 severe case (6.67%), and 2 critical cases(13.33%). There were 6 groups of family clusters.Most of the patients (14/15, 93.3%) had fever of different degrees. The average time from illness onset to admission was 2.80±1.66 days, and the average time from illness onset to diagnosis was 2.83±2.29 days. The main accompanying symptoms were dry cough (8/15, 53.33%) and shortness of breath (4/15, 26.67%). Nine patients (60%) who had low lymphocyte counts at admission, including of all of the critically ill patients (1 severe case and 2 critical cases) and 6 (6/12, 50%) ordinary patients. Lymphocyte counts in the ordinary cases increased gradually, but fluctuated in the severely ill patients. They were always at low level, or even decreased overall in critical cases. Conclusion: In Xi'an City, COVID-19 mostly occurred in family clusters. Lymphocyte counts were reduced in most patients, especially in critically ill (severe and critical) ones. The lymphocyte count at admission and its kinetics during therapy may be an important predictor for the severity and prognosis of the disease.

投稿的翻译标题Dynamic changes of lymphocytes and the disease progression in patients with coronavirus disease 2019 in Xi'an
源语言繁体中文
页(从-至)108-112
页数5
期刊Journal of Xi'an Jiaotong University (Medical Sciences)
卷42
期1
DOI
出版状态已出版 - 5 1月 2021
已对外发布是

关键词

  • Clinical feature
  • Coronavirus disease 2019(COVID-19)
  • Lymphocyte count
  • SARS-CoV-2

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