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Lymphocyte subsets as a predictor of severity and prognosis in COVID-19 patients.
Zhang, Peng; Du, Wei; Yang, Ting; Zhao, Lei; Xiong, Richeng; Li, Yongqiang; Geng, Yan; Lu, Weizhong; Zhou, Juan.
  • Zhang P; Department of Hematology, General Hospital of Southern Theater Command, Guangzhou, China.
  • Du W; Department of Infectious Disease, Huoshenshan Hospital, Wuhan, China.
  • Yang T; Department of Infectious Disease, Huoshenshan Hospital, Wuhan, China.
  • Zhao L; Department of Respiratory Medicine, General Hospital of Southern Theater Command, Guangzhou, China.
  • Xiong R; Department of Infectious Disease, Huoshenshan Hospital, Wuhan, China.
  • Li Y; Department of Neurology, No. 925 Hospital of the Joint Logistics Support Force of PLA, Guiyang, China.
  • Geng Y; Department of Infectious Disease, Huoshenshan Hospital, Wuhan, China.
  • Lu W; Department of Geriatrics, No. 924 Hospital of the Joint Logistics Support Force of PLA, Guilin, China.
  • Zhou J; Department of Infectious Disease, Huoshenshan Hospital, Wuhan, China.
Int J Immunopathol Pharmacol ; 35: 20587384211048567, 2021.
Article in English | MEDLINE | ID: covidwho-1463208
ABSTRACT

BACKGROUND:

Coronavirus disease 2019 (COVID-19) had become a worldwide health threat. Early prediction of the severity of COVID-19 patients was important for reducing death rate and controlling this disease. METHODS AND MATERIALS A total of 301 patients confirmed with COVID-19 in Wuhan from 8 February to 10 April 2020 were included. Clinical data were collected and analyzed. Diagnostic and prognostic utility of blood cell counts and lymphocyte subsets in COVID-19 patients were investigated. The receiver operator characteristic curve (ROC) was used in discriminating the mild and severe/critical cases.

RESULTS:

There were difference in blood cell counts and lymphocyte subsets among mild, severe and critical patients, which were also influenced by comorbidities and duration of disease. The area under the ROC of lymphocyte, CD3+ T cells, CD4+ T cells, and CD8+ T cells were 0.718, 0.721, 0.718, and 0.670, which were higher than that of other hematological parameters. The optimal threshold was 1205, 691, 402, and 177 per µl, respectively. Patients with higher counts of lymphocyte, CD3+ T cells, CD4+ T cells, or CD8+ T cells were correlated with shorter length of stay in hospital (p < 0.05). Multivariable Cox regression analysis showed disease severity, CD3+ T cells counts and time when the nucleic acid turned negative were independent risk factors for in-hospital death of COVID-19 patients (p < 0.05).

CONCLUSION:

Blood cell counts and lymphocyte subsets correlated with severity of COVID-19.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Lymphocyte Subsets / COVID-19 Subject: Lymphocyte Subsets / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Risk factors Language: English Journal: Int J Immunopathol Pharmacol Clinical aspect: Etiology / Prediction / Prognosis Year: 2021

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Full text: Available Collection: International databases Database: MEDLINE Document Type: Article Main subject: Lymphocyte Subsets / COVID-19 Subject: Lymphocyte Subsets / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Risk factors Language: English Journal: Int J Immunopathol Pharmacol Clinical aspect: Etiology / Prediction / Prognosis Year: 2021
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