CD8+ T cells predicted the conversion of common covid-19 to severe

Abstract To evaluate the predictive effect of T-lymphoid subsets on the conversion of common covid-19 to severe. The laboratory data were collected retrospectively from common covid-19 patients in the First People's Hospital of Zaoyang, Hubei Province, China and the Third People's Hospital...

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Autores principales:	Li Liu, Zhiyong Chen, Yingrong Du, Jianpeng Gao, Junyi Li, Tiqin Deng, Chen Chen, Lin Wang, Yongrui Yang, Chunyun Liu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/8a6ae8c87c4e4a0fa5ed1bc5b21ca372
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spelling	oai:doaj.org-article:8a6ae8c87c4e4a0fa5ed1bc5b21ca3722021-12-02T10:48:13ZCD8+ T cells predicted the conversion of common covid-19 to severe10.1038/s41598-021-81732-42045-2322https://doaj.org/article/8a6ae8c87c4e4a0fa5ed1bc5b21ca3722021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81732-4https://doaj.org/toc/2045-2322Abstract To evaluate the predictive effect of T-lymphoid subsets on the conversion of common covid-19 to severe. The laboratory data were collected retrospectively from common covid-19 patients in the First People's Hospital of Zaoyang, Hubei Province, China and the Third People's Hospital of Kunming, Yunnan Province, China, between January 20, 2020 and March 15, 2020 and divided into training set and validation set. Univariate and multivariate logistic regression was performed to investigate the risk factors for the conversion of common covid-19 to severe in the training set, the prediction model was established and verified externally in the validation set. 60 (14.71%) of 408 patients with common covid-19 became severe in 6–10 days after diagnosis. Univariate and multiple logistic regression analysis revealed that lactate (P = 0.042, OR = 1097.983, 95% CI 1.303, 924,798.262) and CD8+ T cells (P = 0.010, OR = 0.903, 95% CI 0.835, 0.975) were independent risk factors for general type patients to turn to severe type. The area under ROC curve of lactate and CD8+ T cells was 0.754 (0.581, 0.928) and 0.842 (0.713, 0.970), respectively. The actual observation value was highly consistent with the prediction model value in curve fitting. The established prediction model was verified in 78 COVID-19 patients in the verification set, the area under the ROC curve was 0.906 (0.861, 0.981), and the calibration curve was consistent. CD8+ T cells, as an independent risk factor, could predict the transition from common covid-19 to severe.Li LiuZhiyong ChenYingrong DuJianpeng GaoJunyi LiTiqin DengChen ChenLin WangYongrui YangChunyun LiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Li Liu Zhiyong Chen Yingrong Du Jianpeng Gao Junyi Li Tiqin Deng Chen Chen Lin Wang Yongrui Yang Chunyun Liu CD8+ T cells predicted the conversion of common covid-19 to severe
description	Abstract To evaluate the predictive effect of T-lymphoid subsets on the conversion of common covid-19 to severe. The laboratory data were collected retrospectively from common covid-19 patients in the First People's Hospital of Zaoyang, Hubei Province, China and the Third People's Hospital of Kunming, Yunnan Province, China, between January 20, 2020 and March 15, 2020 and divided into training set and validation set. Univariate and multivariate logistic regression was performed to investigate the risk factors for the conversion of common covid-19 to severe in the training set, the prediction model was established and verified externally in the validation set. 60 (14.71%) of 408 patients with common covid-19 became severe in 6–10 days after diagnosis. Univariate and multiple logistic regression analysis revealed that lactate (P = 0.042, OR = 1097.983, 95% CI 1.303, 924,798.262) and CD8+ T cells (P = 0.010, OR = 0.903, 95% CI 0.835, 0.975) were independent risk factors for general type patients to turn to severe type. The area under ROC curve of lactate and CD8+ T cells was 0.754 (0.581, 0.928) and 0.842 (0.713, 0.970), respectively. The actual observation value was highly consistent with the prediction model value in curve fitting. The established prediction model was verified in 78 COVID-19 patients in the verification set, the area under the ROC curve was 0.906 (0.861, 0.981), and the calibration curve was consistent. CD8+ T cells, as an independent risk factor, could predict the transition from common covid-19 to severe.
format	article
author	Li Liu Zhiyong Chen Yingrong Du Jianpeng Gao Junyi Li Tiqin Deng Chen Chen Lin Wang Yongrui Yang Chunyun Liu
author_facet	Li Liu Zhiyong Chen Yingrong Du Jianpeng Gao Junyi Li Tiqin Deng Chen Chen Lin Wang Yongrui Yang Chunyun Liu
author_sort	Li Liu
title	CD8+ T cells predicted the conversion of common covid-19 to severe
title_short	CD8+ T cells predicted the conversion of common covid-19 to severe
title_full	CD8+ T cells predicted the conversion of common covid-19 to severe
title_fullStr	CD8+ T cells predicted the conversion of common covid-19 to severe
title_full_unstemmed	CD8+ T cells predicted the conversion of common covid-19 to severe
title_sort	cd8+ t cells predicted the conversion of common covid-19 to severe
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/8a6ae8c87c4e4a0fa5ed1bc5b21ca372
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CD8+ T cells predicted the conversion of common covid-19 to severe

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