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Increased circulating level of interleukin-6 and CD8(+) T cell exhaustion are associated with progression of COVID-19

BACKGROUND: Coronavirus disease 2019 (COVID-19) is pandemic. It is critical to identify COVID-19 patients who are most likely to develop a severe disease. This study was designed to determine the clinical and epidemiological features of COVID-19 patients associated with the development of pneumonia...

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Detalles Bibliográficos
Autores principales: Yang, Peng-Hui, Ding, Yi-Bo, Xu, Zhe, Pu, Rui, Li, Ping, Yan, Jin, Liu, Ji-Luo, Meng, Fan-Ping, Huang, Lei, Shi, Lei, Jiang, Tian-Jun, Qin, En-Qiang, Zhao, Min, Zhang, Da-Wei, Zhao, Peng, Yu, Ling-Xiang, Wang, Zhao-Hai, Hong, Zhi-Xian, Xiao, Zhao-Hui, Xi, Qing, Zhao, De-Xi, Yu, Peng, Zhu, Cai-Zhong, Chen, Zhu, Zhang, Shao-Geng, Ji, Jun-Sheng, Wang, Fu-Sheng, Cao, Guang-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7686818/
https://www.ncbi.nlm.nih.gov/pubmed/33239109
http://dx.doi.org/10.1186/s40249-020-00780-6
Descripción
Sumario:BACKGROUND: Coronavirus disease 2019 (COVID-19) is pandemic. It is critical to identify COVID-19 patients who are most likely to develop a severe disease. This study was designed to determine the clinical and epidemiological features of COVID-19 patients associated with the development of pneumonia and factors associated with disease progression. METHODS: Seventy consecutive patients with etiologically confirmed COVID-19 admitted to PLA General Hospital in Beijing, China from December 27, 2019 to March 12, 2020 were enrolled in this study and followed-up to March 16, 2020. Differences in clinical and laboratory findings between COVID-19 patients with pneumonia and those without were determined by the χ(2) test or the Fisher exact test (categorical variables) and independent group t test or Mann–Whitney U test (continuous variables). The Cox proportional hazard model and Generalized Estimating Equations were applied to evaluate factors that predicted the progression of COVID-19. RESULTS: The mean incubation was 8.67 (95% confidence interval, 6.78–10.56) days. Mean duration from the first test severe acute respiratory syndrome coronavirus 2-positive to conversion was 11.38 (9.86–12.90) days. Compared to pneumonia-free patients, pneumonia patients were 16.5 years older and had higher frequencies of having hypertension, fever, and cough and higher circulating levels of neutrophil proportion, interleukin-6, low count (< 190/µl) of CD8(+) T cells, and neutrophil/lymphocyte ratio. Thirteen patients deteriorated during hospitalization. Cox regression analysis indicated that older age and higher serum levels of interleukin-6, C-reactive protein, procalcitonin, and lactate at admission significantly predicted the progression of COVID-19. During hospitalization, circulating counts of T lymphocytes, CD4(+) T cells, and CD8(+) T cells were lower, whereas neutrophil proportion, neutrophil/lymphocyte ratio, and the circulating levels of interleukin-6, C-reactive protein, and procalcitonin were higher, in pneumonia patients than in pneumonia-free patients. CD8(+) lymphocyte count in pneumonia patients did not recover when discharged. CONCLUSIONS: Older age and higher levels of C-reactive protein, procalcitionin, interleukin-6, and lactate might predict COVID-19 progression. T lymphocyte, especially CD8(+) cell-mediated immunity is critical in recovery of COVID-19. This study may help in predicting disease progression and designing immunotherapy for COVID-19.