Abstract

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.

Keywords

Coronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)DiseaseMedicineVirologyPathologyInfectious disease (medical specialty)Outbreak

MeSH Terms

Angiotensin-Converting Enzyme 2BetacoronavirusCOVID-19ChinaCoronavirus InfectionsDisease ProgressionHospitalizationHumansLymphocytesLymphopeniaPandemicsPeptidyl-Dipeptidase APneumoniaViralPractice Guidelines as TopicPrognosisReproducibility of ResultsSARS-CoV-2Time Factors

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Publication Info

Year
2020
Type
letter
Volume
5
Issue
1
Pages
33-33
Citations
1583
Access
Closed

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1583
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61
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Cite This

Li Tan, Qi Wang, Duanyang Zhang et al. (2020). Lymphopenia predicts disease severity of COVID-19: a descriptive and predictive study. Signal Transduction and Targeted Therapy , 5 (1) , 33-33. https://doi.org/10.1038/s41392-020-0148-4

Identifiers

DOI
10.1038/s41392-020-0148-4
PMID
32296069
PMCID
PMC7100419

Data Quality

Data completeness: 86%