Abnormalities of peripheral blood system in patients with COVID-19 in Wenzhou, China.
Adult
Aged
Aged, 80 and over
Betacoronavirus
/ isolation & purification
Blood Cell Count
/ methods
COVID-19
China
/ epidemiology
Coronavirus Infections
/ blood
Female
Hospitalization
/ trends
Humans
Lymphocytes
/ metabolism
Male
Middle Aged
Monocytes
/ metabolism
Neutrophils
/ metabolism
Pandemics
Pneumonia, Viral
/ blood
Retrospective Studies
SARS-CoV-2
Young Adult
COVID-19
Eosinophils
Lymphocyte
Neutrophil-Lymphocyte ratio
Peripheral blood
Journal
Clinica chimica acta; international journal of clinical chemistry
ISSN: 1873-3492
Titre abrégé: Clin Chim Acta
Pays: Netherlands
ID NLM: 1302422
Informations de publication
Date de publication:
Aug 2020
Aug 2020
Historique:
received:
02
04
2020
revised:
22
04
2020
accepted:
22
04
2020
pubmed:
28
4
2020
medline:
13
6
2020
entrez:
28
4
2020
Statut:
ppublish
Résumé
In December 2019, coronavirus disease 2019 (COVID-19) was first found in Wuhan, China and soon was reported all around the world. All confirmed cases with COVID-19 in Wenzhou from January 19 to February 20, 2020, were collected and analyzed. Of the 116 patients with COVID-19, 27 were diagnosed as severe cases. Among severe cases, 9 were treated in ICU. The data of blood routine examination were analyzed and compared among common patients (as common group), severe patients admitted to intensive care unit (as severe ICU group) and severe patients not admitted to ICU (as severe non-ICU group). The blood routine examination results were dynamically observed in the above groups after admission. Patients with COVID-19 have lower counts of leucocytes, lymphocytes, eosinophils, platelets, and hemoglobin, but have higher neutrophil-lymphocyte ratio (NLR) and monocyte-lymphocyte ratio (MLR), which were compared with controls (P < 0.001). In severe ICU group, patients have the lowest count of lymphocytes, but the highest neutrophil count and NLR among the above three groups (all P values < 0.05); NLR and MLR indicators were combined for diagnostic efficacy analysis of severe COVID-19, and its area under the curve reached 0.925. The odds ratio of the delay in days to the start of the increase of eosinophil count for predicting the outcome of patients with severe COVID-19 was 2.291 after age adjusted. Patients with COVID-19 have abnormal peripheral blood routine examination results. Dynamic surveillance of peripheral blood system especially eosinophils is helpful in the prediction of severe COVID-19 cases.
Sections du résumé
BACKGROUND
BACKGROUND
In December 2019, coronavirus disease 2019 (COVID-19) was first found in Wuhan, China and soon was reported all around the world.
METHODS
METHODS
All confirmed cases with COVID-19 in Wenzhou from January 19 to February 20, 2020, were collected and analyzed. Of the 116 patients with COVID-19, 27 were diagnosed as severe cases. Among severe cases, 9 were treated in ICU. The data of blood routine examination were analyzed and compared among common patients (as common group), severe patients admitted to intensive care unit (as severe ICU group) and severe patients not admitted to ICU (as severe non-ICU group). The blood routine examination results were dynamically observed in the above groups after admission.
RESULTS
RESULTS
Patients with COVID-19 have lower counts of leucocytes, lymphocytes, eosinophils, platelets, and hemoglobin, but have higher neutrophil-lymphocyte ratio (NLR) and monocyte-lymphocyte ratio (MLR), which were compared with controls (P < 0.001). In severe ICU group, patients have the lowest count of lymphocytes, but the highest neutrophil count and NLR among the above three groups (all P values < 0.05); NLR and MLR indicators were combined for diagnostic efficacy analysis of severe COVID-19, and its area under the curve reached 0.925. The odds ratio of the delay in days to the start of the increase of eosinophil count for predicting the outcome of patients with severe COVID-19 was 2.291 after age adjusted.
CONCLUSIONS
CONCLUSIONS
Patients with COVID-19 have abnormal peripheral blood routine examination results. Dynamic surveillance of peripheral blood system especially eosinophils is helpful in the prediction of severe COVID-19 cases.
Identifiants
pubmed: 32339487
pii: S0009-8981(20)30179-0
doi: 10.1016/j.cca.2020.04.024
pmc: PMC7194694
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
174-180Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Références
Zhonghua Bing Li Xue Za Zhi. 2020 May 8;49(5):411-417
pubmed: 32172546
N Engl J Med. 2020 Apr 30;382(18):1708-1720
pubmed: 32109013
Diabetes Res Clin Pract. 2018 Oct;144:118-125
pubmed: 30176260
Immunol Cell Biol. 2014 May-Jun;92(5):449-59
pubmed: 24469764
Int J Infect Dis. 2020 May;94:128-132
pubmed: 32251805
J Virol. 2020 Mar 17;94(7):
pubmed: 31996437
Anaesthesiol Intensive Ther. 2020;52(1):34-41
pubmed: 32191830
Int J Infect Dis. 2020 Mar 12;95:183-191
pubmed: 32173576
Ann Surg Oncol. 2019 Feb;26(2):669-684
pubmed: 30374917
J Med Virol. 2020 Mar 17;:
pubmed: 32181903
Lancet. 2020 Feb 15;395(10223):497-506
pubmed: 31986264
Infection. 2017 Jun;45(3):299-307
pubmed: 27995553
Lancet Respir Med. 2020 Apr;8(4):420-422
pubmed: 32085846
Clin Infect Dis. 2020 Mar 12;:
pubmed: 32161940
Clin Infect Dis. 2020 Mar 16;:
pubmed: 32176772
Chin Med J (Engl). 2020 May 5;133(9):1129-1131
pubmed: 32118645
Clin Infect Dis. 2020 Mar 16;:
pubmed: 32173725
Lancet. 2020 Mar 28;395(10229):1033-1034
pubmed: 32192578
Lancet. 2020 Feb 15;395(10223):507-513
pubmed: 32007143