Association Between Lymphocyte Level and Severity of Coronavirus Disease 2019 Patients: A Cross-sectional Study in Indonesia

Author:

Buchari Buchari,Andayani Hafni,Putri Nadia Ayunda

Abstract

BACKGROUND: Coronavirus disease 2019 (COVID-19) pandemic has caused significant health problems globally. COVID-19 should be considered a systemic disease since it involves multiple systems, including the hematopoietic system and the immune system. AIM: This study sought to determine the relationship between the lymphocyte levels and the severity of COVID-19 patients in Indonesia. METHODS: A cross-sectional study was conducted among COVID-19 patients at Dr. Zainoel Abidin Hospital Banda Aceh Indonesia from August 27, to September 20, 2021. The subjects were recruited using consecutive sampling method and the data were obtained at their admission to the hospital. Chi-squared test was used to assess the association between lymphocyte levels and the severity of patients. RESULTS: A total of 280 COVID-19 patients included of which 56.9% (91/160) of the patients with moderate severity, 76.1% (51/67) with a severe condition, and 84.9% (45/53) with critical severity had lymphopenia. There were no patients with lymphocytosis found in this study (0%). The Chi-squared test suggested that the lymphocyte level was significant associated with the severity of COVID-19 patients with p < 0.001. CONCLUSION: Our study suggests that the lower the lymphocyte level, the higher the severity of COVID-19 patients. The level of lymphocyte is therefore potentially to be used as predictor for the disease severity and needs to be monitored regularly in COVID-19 patients.

Publisher

Scientific Foundation SPIROSKI

Subject

General Medicine

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3