Longitudinal hematologic and immunologic variations associated with the progression of COVID-19 patients in China

dc.creatorChen, Ruchong
dc.creatorSang, Ling
dc.creatorJiang, Mei
dc.creatorYang, Zhaowei
dc.creatorJia, Nan
dc.creatorFu, Wanyi
dc.creatorXie, Jiaxing
dc.creatorGuan, Weijie
dc.creatorLiang, Wenhua
dc.creatorNi, Zhengyi
dc.creatorHu, Yu
dc.creatorLiu, Lei
dc.creatorShan, Hong
dc.creatorLei, Chunliang
dc.creatorPeng, Yixiang
dc.creatorWei, Li
dc.creatorLiu, Yong
dc.creatorHu, Yahua
dc.creatorPeng, Peng
dc.creatorWang, Jianming
dc.creatorLiu, Jiyang
dc.creatorChen, Zhong
dc.creatorLi, Gang
dc.creatorZheng, Zhijian
dc.creatorQiu, Shaoqin
dc.creatorLuo, Jie
dc.creatorYe, Changjiang
dc.creatorZhu, Shaoyong
dc.creatorZheng, Jinping
dc.creatorZhang, Nuofu
dc.creatorLi, Yimin
dc.creatorHe, Jianxing
dc.creatorLi, Jing
dc.creatorLi, Shiyue
dc.creatorZhong, Nanshan
dc.date.accessioned2020-07-14T20:18:14Z
dc.date.available2020-07-14T20:18:14Z
dc.date.created2020
dc.description.abstractBackground: Crucial roles of hematologic and immunologic responses in progression of coronavirus disease 2019 (COVID-19) remain largely unclear. Objective: We sought to address the dynamic changes in hematologic and immunologic biomarkers and their associations with severity and outcomes of COVID-19. Methods: A retrospective study including 548 patients with COVID-19 with clarified outcome (discharged or deceased) from a national cohort in China was performed. Cross-sectional and longitudinal variations were compared and the associations with different severity and outcomes were analyzed. Results: On admission, the counts of lymphocytes, T-cell subsets, eosinophils, and platelets decreased markedly, especially in severe/critical and fatal patients. Increased neutrophil count and neutrophils-to-lymphocytes ratio were predominant in severe/critical cases or nonsurvivors. During hospitalization, eosinophils, lymphocytes, and platelets showed an increasing trend in survivors, but maintained lower levels or dropped significantly afterwards in nonsurvivors. Nonsurvivors kept a high level or showed an upward trend for neutrophils, IL-6, procalcitonin, D-dimer, amyloid A protein, and C-reactive protein, which were kept stable or showed a downward trend in survivors. Positive correlation between CD81 T-cell and lymphocytes count was found in survivors but not in nonsurvivors. A multivariate Cox regression model suggested that restored levels of lymphocytes, eosinophils, and platelets could serve as predictors for recovery, whereas progressive increases in neutrophils, basophils, and IL-6 were associated with fatal outcome. Conclusions: Hematologic and immunologic impairment showed a significantly different profile between survivors and nonsurvivors in patients with COVID-19 with different severity. The longitudinal variations in these biomarkers could serve to predict recovery or fatal outcome. (J Allergy Clin Immunol 2020;146:89-100.)spa
dc.format.extent12 páginasspa
dc.format.mimetypeimage/jepgspa
dc.identifier.doihttps://doi.org/10.1016/j.jaci.2020.05.003spa
dc.identifier.issn0091-6749spa
dc.identifier.otherhttps://doi.org/10.1016/j.jaci.2020.05.003spa
dc.identifier.urihttps://hdl.handle.net/20.500.12010/10516
dc.publisherScience Directeng
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.subjectHematologic indicesspa
dc.subjectImmunologic responsesspa
dc.subjectCOVID-19spa
dc.subjectSeverityspa
dc.subjectOutcomespa
dc.subject.lembSíndrome respiratorio agudo gravespa
dc.subject.lembCOVID-19spa
dc.subject.lembSARS-CoV-2spa
dc.subject.lembCoronavirusspa
dc.titleLongitudinal hematologic and immunologic variations associated with the progression of COVID-19 patients in Chinaspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.localArtículospa

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