{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:26:15Z","timestamp":1780053975480,"version":"3.54.0"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T00:00:00Z","timestamp":1648425600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"the first batch of emergency specialized scientific research fund projects for prevention and control of covid-19 in wanzhou","award":["wzstc-202004"],"award-info":[{"award-number":["wzstc-202004"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Virol J"],"published-print":{"date-parts":[[2022,12]]},"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Abnormalities of lymphocyte subsets and cytokine profiles have been observed in most patients with coronavirus disease (COVID-19). Here, we explore the role of lymphocyte subsets and cytokines on hospital admission in predicting the severity of COVID-19.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n This study included 214 patients with COVID-19 who were treated at Chongqing University Three Gorges Hospital\u00a0from January 19, 2020 to April 30, 2020. Any mutants were not detected in the studied patients. Patients were divided into non-intensive care unit (ICU) (mild\/moderate) group and ICU (severe\/critical) group, according to the severity of the disease. Clinical and laboratory data, including peripheral lymphocyte subsets and cytokines, were analyzed and compared. Logistic regression was used to analyze the predictive factors for ICU admission. Receiver operating characteristic (ROC) curves were drawn to evaluate the predictive value of selected indicators for the severity of COVID-19.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Of the 214 patients enrolled, 161 were non-ICU patients and 53 were ICU patients. Lymphopenia was observed in nearly all of ICU patients (96.2%) and 84.5% of non-ICU patients on hospital admission. The absolute number of lymphocytes, CD3\n +<\/jats:sup>\n T cells, CD4\n +<\/jats:sup>\n T cells, CD8\n +<\/jats:sup>\n T cells, CD19\n +<\/jats:sup>\n B cells, and natural killer (NK) cells were lower in ICU group (659.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, 417.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, 261.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, 140.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, 109.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, 102.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, respectively) than in non-ICU group (1063.00\u2009\u00d7\u200910\n 9<\/jats:sup>\n \/L, 717.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, 432.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, 271.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, 133.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, 143.00\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L, respectively). Interleukin (IL)-6 was significantly higher in ICU patients than in non-ICU patients (18.08\u00a0pg\/mL vs. 3.13\u00a0pg\/mL,\n P<\/jats:italic>\n \u2009<\u20090.001). Multivariate logistic regression analysis showed that age (odds ratio: 1.067 [1.034\u20131.101]), diabetes mellitus (odds ratio: 9.154 [2.710\u201330.926]), CD3\n +<\/jats:sup>\n T cells (odds ratio: 0.996 [0.994\u20130.997]), and IL-6 (odds ratio: 1.006 [1.000\u20131.013]) were independent predictors for the development of severe disease. ROC curve analysis showed that the area under the ROC curve (AUC) of CD3\n +<\/jats:sup>\n T cells and IL-6 was 0.806 (0.737\u20130.874) and 0.785 (0.705\u20130.864), respectively, and the cutoff values were 510.50\u2009\u00d7\u200910\n 6<\/jats:sup>\n \/L (sensitivity, 71.7%; specificity, 79.5%) and 6.58\u00a0pg\/mL (77.4%, 74.5%), respectively. There were no statistical differences among all tested indicators of lymphocyte subsets and cytokines between severe group (\n n<\/jats:italic>\n \u2009=\u200938) and critical group (\n n<\/jats:italic>\n \u2009=\u200915) on hospital admission or ICU admission, respectively.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n \n The levels of lymphocyte subsets decreased and the level of IL-6 increased significantly in ICU COVID-19 patients compared with non-ICU COVID-19 patients. Therefore, the number of CD3\n +<\/jats:sup>\n T cells and the level of IL-6 on hospital admission may serve as predictive factors for identifying patients with wild-type virus infection who will have severe disease.\n <\/jats:p>\n <\/jats:sec>","DOI":"10.1186\/s12985-022-01786-2","type":"journal-article","created":{"date-parts":[[2022,3,28]],"date-time":"2022-03-28T22:04:48Z","timestamp":1648505088000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Characteristics of lymphocyte subsets and cytokine profiles of patients with COVID-19"],"prefix":"10.1186","volume":"19","author":[{"given":"Pengfei","family":"Pan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinxin","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qilong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Cui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaochun","family":"Deng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongjun","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianguo","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangyou","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6433-6185","authenticated-orcid":false,"given":"Weihua","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,3,28]]},"reference":[{"key":"1786_CR1","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1038\/s41586-020-2008-3","volume":"579","author":"F Wu","year":"2020","unstructured":"Wu F, Zhao S, Yu B, Chen YM, Wang W, Song ZG, et al. 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