Lymphopenia predicts disease severity of COVID-19: a descriptive and predictive study

By L. Tan, Qi Wang, Duanyang Zhang, Jinya Ding, Qianchuan Huang, Yi-Quan Tang, Qiongshu Wang, Hongming Miao. Signal Transduction and Targeted Therapy, 2020

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Background: Coronavirus disease-2019 (COVID-19) is a rapidly escalating epidemic caused by SARS-CoV-2. Identification of a simple and effective indicator to assess disease severity and outcome is urgently needed. Methods: This study retrospectively analyzed dynamic changes of lymphocyte percentage (LYM%) in 15 death cases, 15 severe cases as well as 40 moderate cases of COVID-19 patients. Next, prognostic role of lymphopenia in COVID-19 were verified in 92 hospitalized cases. Results: Our results from death and severe cases showed that LYM% in blood test were inversely associated with the progression and severity of COVID-19. LYM% in patients with moderate COVID-19 remained higher than 20% 10-12 days after symptom onset. In contrast, LYM% was lower than 20% in severe cases. However, LYM% in severe cases was higher than 5% 17-19 days after the onset of the disease, while it fell below 5% in death cases. Therefore, we established a reliable Time from symptom onset-LYM% model (TLM), which could be used to evaluate disease severity and predict the outcomes of hospitalized patients with COVID-19. Conclusion: Lymphopenia can be used to indicate clinical course, treatment effect and outcomes of COVID-19 patients.

Subfields: Dermatology, Infectious Diseases

View Paper: https://www.semanticscholar.org/paper/8887b4de1ce8a9d30eeb62566368cc4bffd8865f

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In Infectious Diseases

  1. Bo Huang
  2. Youhai H. Chen
  3. X. Wan
  4. Jinyan Liu
  5. Zhixin Zhang
  6. Yi Zhang
  7. T. Kanneganti
  8. Shasha Liu

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