A biological profile for diagnosis and outcome of COVID-19 patients

Objectives As severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic is increasing its victims on a global scale with recurring outbreaks, it remains of outmost importance to rapidly identify people requiring an intensive care unit (ICU) hospitalization. The aim of this study was to i...

Full description

Saved in:
Bibliographic Details
Published inClinical chemistry and laboratory medicine Vol. 58; no. 12; pp. 2141 - 2150
Main Authors Khourssaji, Mehdi, Chapelle, Virginie, Evenepoel, Anton, Belkhir, Leila, Yombi, Jean Cyr, van Dievoet, Marie-Astrid, Saussoy, Pascale, Coche, Emmanuel, Fillée, Catherine, Constantinescu, Stefan N., Rodriguez-Villalobos, Hector, Defour, Jean-Philippe, Gruson, Damien
Format Journal Article
LanguageEnglish
Published Germany De Gruyter 01.12.2020
Walter De Gruyter & Company
Subjects
Online AccessGet full text
ISSN1434-6621
1437-4331
1437-4331
DOI10.1515/cclm-2020-0626

Cover

Abstract Objectives As severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic is increasing its victims on a global scale with recurring outbreaks, it remains of outmost importance to rapidly identify people requiring an intensive care unit (ICU) hospitalization. The aim of this study was to identify Coronavirus Disease 2019 (COVID-19) biomarkers, to investigate their correlation with disease severity and to evaluate their usefulness for follow-up. Methods Fifty patients diagnosed with SARS-Cov-2 were included in March 2020. Clinical and biological data were collected at admission, during hospitalization and one month after discharge. Patients were divided into two severity groups: non-ICU (28) and ICU and/or death (22) to stratify the risk. Results Blood parameters in COVID-19 patients at admission showed increased C-reactive protein (CRP) (100%), ferritin (92%), lactate dehydrogenase (LDH) (80%), white blood cell (WBC) count (26%) with lymphopenia (52%) and eosinopenia (98%). There were significant differences in levels of CRP, ferritin, D-dimers, fibrinogen, lymphocyte count, neutrophil count and neutrophil-to-lymphocyte ratio (NLR) among the two severity groups. Mapping of biomarker's kinetics distinguished early and late parameters. CRP, ferritin, LDH, lymphopenia and eosinopenia were present upon admission with a peak at the first week. Late biomarkers such as anemia, neutrophilia and elevated liver biomarkers appeared after one week with a peak at three weeks of hospitalization. Conclusions We confirmed that high-values of CRP, NLR, D-dimers, ferritin as well as lymphopenia and eosinopenia were consistently found and are good markers for risk stratification. Kinetics of these biomarkers correlate well with COVID-19 severity. Close monitoring of early and late biomarkers is crucial in the management of critical patients to avoid preventable deaths.
AbstractList As severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic is increasing its victims on a global scale with recurring outbreaks, it remains of outmost importance to rapidly identify people requiring an intensive care unit (ICU) hospitalization. The aim of this study was to identify Coronavirus Disease 2019 (COVID-19) biomarkers, to investigate their correlation with disease severity and to evaluate their usefulness for follow-up.Fifty patients diagnosed with SARS-Cov-2 were included in March 2020. Clinical and biological data were collected at admission, during hospitalization and one month after discharge. Patients were divided into two severity groups: non-ICU (28) and ICU and/or death (22) to stratify the risk.Blood parameters in COVID-19 patients at admission showed increased C-reactive protein (CRP) (100%), ferritin (92%), lactate dehydrogenase (LDH) (80%), white blood cell (WBC) count (26%) with lymphopenia (52%) and eosinopenia (98%). There were significant differences in levels of CRP, ferritin, D-dimers, fibrinogen, lymphocyte count, neutrophil count and neutrophil-to-lymphocyte ratio (NLR) among the two severity groups. Mapping of biomarker’s kinetics distinguished early and late parameters. CRP, ferritin, LDH, lymphopenia and eosinopenia were present upon admission with a peak at the first week. Late biomarkers such as anemia, neutrophilia and elevated liver biomarkers appeared after one week with a peak at three weeks of hospitalization.We confirmed that high-values of CRP, NLR, D-dimers, ferritin as well as lymphopenia and eosinopenia were consistently found and are good markers for risk stratification. Kinetics of these biomarkers correlate well with COVID-19 severity. Close monitoring of early and late biomarkers is crucial in the management of critical patients to avoid preventable deaths.
Objectives As severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic is increasing its victims on a global scale with recurring outbreaks, it remains of outmost importance to rapidly identify people requiring an intensive care unit (ICU) hospitalization. The aim of this study was to identify Coronavirus Disease 2019 (COVID-19) biomarkers, to investigate their correlation with disease severity and to evaluate their usefulness for follow-up. Methods Fifty patients diagnosed with SARS-Cov-2 were included in March 2020. Clinical and biological data were collected at admission, during hospitalization and one month after discharge. Patients were divided into two severity groups: non-ICU (28) and ICU and/or death (22) to stratify the risk. Results Blood parameters in COVID-19 patients at admission showed increased C-reactive protein (CRP) (100%), ferritin (92%), lactate dehydrogenase (LDH) (80%), white blood cell (WBC) count (26%) with lymphopenia (52%) and eosinopenia (98%). There were significant differences in levels of CRP, ferritin, D-dimers, fibrinogen, lymphocyte count, neutrophil count and neutrophil-to-lymphocyte ratio (NLR) among the two severity groups. Mapping of biomarker's kinetics distinguished early and late parameters. CRP, ferritin, LDH, lymphopenia and eosinopenia were present upon admission with a peak at the first week. Late biomarkers such as anemia, neutrophilia and elevated liver biomarkers appeared after one week with a peak at three weeks of hospitalization. Conclusions We confirmed that high-values of CRP, NLR, D-dimers, ferritin as well as lymphopenia and eosinopenia were consistently found and are good markers for risk stratification. Kinetics of these biomarkers correlate well with COVID-19 severity. Close monitoring of early and late biomarkers is crucial in the management of critical patients to avoid preventable deaths.Objectives As severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic is increasing its victims on a global scale with recurring outbreaks, it remains of outmost importance to rapidly identify people requiring an intensive care unit (ICU) hospitalization. The aim of this study was to identify Coronavirus Disease 2019 (COVID-19) biomarkers, to investigate their correlation with disease severity and to evaluate their usefulness for follow-up. Methods Fifty patients diagnosed with SARS-Cov-2 were included in March 2020. Clinical and biological data were collected at admission, during hospitalization and one month after discharge. Patients were divided into two severity groups: non-ICU (28) and ICU and/or death (22) to stratify the risk. Results Blood parameters in COVID-19 patients at admission showed increased C-reactive protein (CRP) (100%), ferritin (92%), lactate dehydrogenase (LDH) (80%), white blood cell (WBC) count (26%) with lymphopenia (52%) and eosinopenia (98%). There were significant differences in levels of CRP, ferritin, D-dimers, fibrinogen, lymphocyte count, neutrophil count and neutrophil-to-lymphocyte ratio (NLR) among the two severity groups. Mapping of biomarker's kinetics distinguished early and late parameters. CRP, ferritin, LDH, lymphopenia and eosinopenia were present upon admission with a peak at the first week. Late biomarkers such as anemia, neutrophilia and elevated liver biomarkers appeared after one week with a peak at three weeks of hospitalization. Conclusions We confirmed that high-values of CRP, NLR, D-dimers, ferritin as well as lymphopenia and eosinopenia were consistently found and are good markers for risk stratification. Kinetics of these biomarkers correlate well with COVID-19 severity. Close monitoring of early and late biomarkers is crucial in the management of critical patients to avoid preventable deaths.
Objectives As severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic is increasing its victims on a global scale with recurring outbreaks, it remains of outmost importance to rapidly identify people requiring an intensive care unit (ICU) hospitalization. The aim of this study was to identify Coronavirus Disease 2019 (COVID-19) biomarkers, to investigate their correlation with disease severity and to evaluate their usefulness for follow-up. Methods Fifty patients diagnosed with SARS-Cov-2 were included in March 2020. Clinical and biological data were collected at admission, during hospitalization and one month after discharge. Patients were divided into two severity groups: non-ICU (28) and ICU and/or death (22) to stratify the risk. Results Blood parameters in COVID-19 patients at admission showed increased C-reactive protein (CRP) (100%), ferritin (92%), lactate dehydrogenase (LDH) (80%), white blood cell (WBC) count (26%) with lymphopenia (52%) and eosinopenia (98%). There were significant differences in levels of CRP, ferritin, D-dimers, fibrinogen, lymphocyte count, neutrophil count and neutrophil-to-lymphocyte ratio (NLR) among the two severity groups. Mapping of biomarker's kinetics distinguished early and late parameters. CRP, ferritin, LDH, lymphopenia and eosinopenia were present upon admission with a peak at the first week. Late biomarkers such as anemia, neutrophilia and elevated liver biomarkers appeared after one week with a peak at three weeks of hospitalization. Conclusions We confirmed that high-values of CRP, NLR, D-dimers, ferritin as well as lymphopenia and eosinopenia were consistently found and are good markers for risk stratification. Kinetics of these biomarkers correlate well with COVID-19 severity. Close monitoring of early and late biomarkers is crucial in the management of critical patients to avoid preventable deaths.
Author Belkhir, Leila
van Dievoet, Marie-Astrid
Fillée, Catherine
Gruson, Damien
Coche, Emmanuel
Saussoy, Pascale
Defour, Jean-Philippe
Evenepoel, Anton
Khourssaji, Mehdi
Constantinescu, Stefan N.
Chapelle, Virginie
Rodriguez-Villalobos, Hector
Yombi, Jean Cyr
Author_xml – sequence: 1
  givenname: Mehdi
  surname: Khourssaji
  fullname: Khourssaji, Mehdi
  organization: Department of Clinical Biochemistry, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium
– sequence: 2
  givenname: Virginie
  surname: Chapelle
  fullname: Chapelle, Virginie
  organization: Department of Hematology, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium
– sequence: 3
  givenname: Anton
  surname: Evenepoel
  fullname: Evenepoel, Anton
  organization: Department of Hematology, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium
– sequence: 4
  givenname: Leila
  surname: Belkhir
  fullname: Belkhir, Leila
  organization: Department of Infectious Diseases, Cliniques Universitaires St-Luc and Université catholique de Louvain, Brussels, Belgium
– sequence: 5
  givenname: Jean Cyr
  surname: Yombi
  fullname: Yombi, Jean Cyr
  organization: Department of Infectious Diseases, Cliniques Universitaires St-Luc and Université catholique de Louvain, Brussels, Belgium
– sequence: 6
  givenname: Marie-Astrid
  surname: van Dievoet
  fullname: van Dievoet, Marie-Astrid
  organization: Department of Hematology, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium
– sequence: 7
  givenname: Pascale
  surname: Saussoy
  fullname: Saussoy, Pascale
  organization: Department of Hematology, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium
– sequence: 8
  givenname: Emmanuel
  surname: Coche
  fullname: Coche, Emmanuel
  organization: Department of Radiology, Cliniques Universitaires St-Luc and Université catholique de Louvain, Brussels, Belgium
– sequence: 9
  givenname: Catherine
  surname: Fillée
  fullname: Fillée, Catherine
  organization: Department of Clinical Biochemistry, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium
– sequence: 10
  givenname: Stefan N.
  surname: Constantinescu
  fullname: Constantinescu, Stefan N.
  organization: Signal Transduction Pole, SIGN, de Duve Institute, Brussels, Belgium
– sequence: 11
  givenname: Hector
  surname: Rodriguez-Villalobos
  fullname: Rodriguez-Villalobos, Hector
  organization: Department of Microbiology, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium
– sequence: 12
  givenname: Jean-Philippe
  surname: Defour
  fullname: Defour, Jean-Philippe
  organization: Department of Hematology, Cliniques Universitaires St-Luc and Université Catholique de Louvain, Brussels, Belgium
– sequence: 13
  givenname: Damien
  surname: Gruson
  fullname: Gruson, Damien
  email: damien.gruson@uclouvain.be
  organization: Pôle de recherche en Endocrinologie, Diabète et Nutrition, Institut de Recherche Expérimentale et Clinique, Cliniques Universitaires St-Luc and Université catholique de Louvain, Brussels, Belgium
BackLink https://www.ncbi.nlm.nih.gov/pubmed/33064667$$D View this record in MEDLINE/PubMed
BookMark eNp1kUtLJDEURoMovma2LiXgZjbl5J3URpCeh4LgxpltSKWSJpKqtEkV0v_e1LQiiLPKXZxz-XK_E7A_ptEBcIbRJeaYf7c2Dg1BBDVIELEHjjGjsmGU4v1_M2uEIPgInJTyiBDmnMlDcEQpEkwIeQxW17ALKaZ1sCbCTU4-RAd9yrAPZj2mEgo0Yw_TPNk0OJg8XN3_vf3R4BZuzBTcOJUv4MCbWNzX1_cU_Pn182F109zd_75dXd81lik2NdL0PXXOG2ss48Q7YQjqVEc5U53ybdty3ksrscKE99h1xFAqGUdUeY-Up6fg225vjfk0uzLpIRTrYjSjS3PRhHGsGJOyrejFB_QxzXms6RZKESkQUpU6f6XmbnC93uQwmLzVb-epANsBNqdSsvPahqn-Oo1TNiFqjPTSgl5a0EsLemmhapcftLfN_xWudsKziZPLvVvneVuH99Sfi7yeimCG6QtCLJtH
CitedBy_id crossref_primary_10_1515_cclm_2022_0801
crossref_primary_10_1097_IPC_0000000000001251
crossref_primary_10_18663_tjcl_899895
crossref_primary_10_1186_s12863_022_01040_2
crossref_primary_10_7759_cureus_58889
crossref_primary_10_1007_s11845_021_02578_3
crossref_primary_10_1080_10408363_2023_2232010
crossref_primary_10_1620_tjem_255_315
crossref_primary_10_3390_medicina59010032
crossref_primary_10_3390_medicina60010059
crossref_primary_10_3389_fmed_2022_951556
crossref_primary_10_4081_itjm_2024_1723
crossref_primary_10_7759_cureus_23696
crossref_primary_10_5937_sanamed0_42725
crossref_primary_10_1186_s12931_020_01590_y
crossref_primary_10_1016_j_ijregi_2023_01_012
crossref_primary_10_3389_fmed_2021_661940
crossref_primary_10_1038_s41598_024_74967_4
crossref_primary_10_3389_fgene_2022_966595
crossref_primary_10_1007_s42399_023_01396_1
crossref_primary_10_3892_wasj_2021_123
crossref_primary_10_1007_s42399_021_01115_8
crossref_primary_10_3389_fimmu_2021_741061
Cites_doi 10.1096/fasebj.3.5.2784116
10.1007/s00134-020-05985-9
10.1038/nm1267
10.1136/bmj.326.7403.1358
10.1016/j.jhep.2020.04.006
10.1016/j.ijid.2020.01.009
10.1515/cclm-2020-0188
10.1128/JVI.79.23.14614-14621.2005
10.1515/cclm-2020-0369
10.1590/1806-3713/e20180417
10.1016/j.jcpa.2014.01.004
10.1016/j.medmal.2020.03.007
10.1515/dx-2020-0057
10.3892/ijmm.14.2.311
10.1161/CIRCRESAHA.116.307708
10.3389/fimmu.2019.02590
10.1172/JCI108166
10.1016/S0140-6736(20)30211-7
10.1186/s40560-015-0093-4
10.1001/jama.2020.6775
10.1128/CMR.00023-07
10.1111/all.14238
10.1186/s13104-016-2335-5
10.1016/0009-8981(79)90176-1
10.1016/j.mehy.2008.03.019
10.1111/jth.14768
10.1016/j.ijid.2004.07.014
10.1371/journal.pcbi.1003534
10.1007/s12016-020-08792-8
10.7150/ijbs.45053
10.1186/s12931-020-01352-w
10.1515/cclm-2020-0722
10.1007/s12291-014-0474-9
10.1136/emj.2009.089383
10.1097/01.CCM.0000057843.47705.E8
10.1016/j.bbrc.2004.05.114
ContentType Journal Article
Copyright 2020 Walter de Gruyter GmbH, Berlin/Boston
Copyright_xml – notice: 2020 Walter de Gruyter GmbH, Berlin/Boston
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7QO
7T7
7TK
7U7
8FD
C1K
FR3
P64
7X8
DOI 10.1515/cclm-2020-0626
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Biotechnology Research Abstracts
Industrial and Applied Microbiology Abstracts (Microbiology A)
Neurosciences Abstracts
Toxicology Abstracts
Technology Research Database
Environmental Sciences and Pollution Management
Engineering Research Database
Biotechnology and BioEngineering Abstracts
MEDLINE - Academic
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Biotechnology Research Abstracts
Technology Research Database
Toxicology Abstracts
Engineering Research Database
Industrial and Applied Microbiology Abstracts (Microbiology A)
Neurosciences Abstracts
Biotechnology and BioEngineering Abstracts
Environmental Sciences and Pollution Management
MEDLINE - Academic
DatabaseTitleList Biotechnology Research Abstracts
MEDLINE - Academic
MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
Chemistry
EISSN 1437-4331
EndPage 2150
ExternalDocumentID 33064667
10_1515_cclm_2020_0626
10_1515_cclm_2020_062658122141
Genre Journal Article
GroupedDBID ---
0R~
0~D
29B
354
36B
4.4
53G
5GY
5RE
AAAEU
AABBZ
AAFPC
AAGVJ
AAILP
AALGR
AAOQK
AAOWA
AAPJK
AAQCX
AARRE
AASQH
AAWFC
AAXCG
ABAOT
ABAQN
ABDRH
ABFKT
ABFQV
ABIQR
ABJNI
ABLJU
ABMIY
ABPLS
ABRDF
ABUVI
ABWLS
ABXMZ
ABYBW
ACDEB
ACEFL
ACGFS
ACIWK
ACPMA
ACPRK
ACUND
ACYCL
ACZBO
ADDWE
ADEQT
ADGQD
ADGYE
ADNPR
ADOZN
AECWL
AEDGQ
AEGVQ
AEICA
AEJTT
AENEX
AEQDQ
AERZL
AEXIE
AFBAA
AFBDD
AFBQV
AFCXV
AFGDO
AFQUK
AFRAH
AFYRI
AGBEV
AHOVO
AHVWV
AHXUK
AIERV
AIWOI
AJATJ
AJHHK
AKXKS
ALMA_UNASSIGNED_HOLDINGS
ALUKF
ASYPN
BAKPI
BBCWN
BCIFA
CGQUA
CS3
DSRVY
DU5
EBS
EMOBN
F5P
HZ~
IY9
KDIRW
N9A
O9-
OBC
OBS
OEB
OES
OHH
P2P
PQQKQ
QD8
RDG
SA.
SLJYH
TEORI
UK5
WTRAM
AAYXX
ALYBR
CITATION
ABVMU
CGR
CUY
CVF
ECM
EIF
NPM
7QO
7T7
7TK
7U7
8FD
C1K
FR3
P64
7X8
ID FETCH-LOGICAL-c484t-7add3eefacac452fe6a20b8b3548b8f99955d7c718125d1eb2a33745038ff08f3
ISSN 1434-6621
1437-4331
IngestDate Sat Sep 27 23:56:32 EDT 2025
Sun Sep 07 03:38:49 EDT 2025
Thu Apr 03 07:10:35 EDT 2025
Tue Jul 01 02:49:35 EDT 2025
Thu Apr 24 23:00:17 EDT 2025
Sat Sep 06 17:02:00 EDT 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 12
Keywords COVID-19
biomarkers
risk stratification
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c484t-7add3eefacac452fe6a20b8b3548b8f99955d7c718125d1eb2a33745038ff08f3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
OpenAccessLink https://www.degruyter.com/document/doi/10.1515/cclm-2020-0626/pdf?licenseType=free
PMID 33064667
PQID 2458276008
PQPubID 105421
PageCount 10
ParticipantIDs proquest_miscellaneous_2451844779
proquest_journals_2458276008
pubmed_primary_33064667
crossref_citationtrail_10_1515_cclm_2020_0626
crossref_primary_10_1515_cclm_2020_0626
walterdegruyter_journals_10_1515_cclm_2020_062658122141
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2020-12-01
PublicationDateYYYYMMDD 2020-12-01
PublicationDate_xml – month: 12
  year: 2020
  text: 2020-12-01
  day: 01
PublicationDecade 2020
PublicationPlace Germany
PublicationPlace_xml – name: Germany
– name: Berlin
PublicationTitle Clinical chemistry and laboratory medicine
PublicationTitleAlternate Clin Chem Lab Med
PublicationYear 2020
Publisher De Gruyter
Walter De Gruyter & Company
Publisher_xml – name: De Gruyter
– name: Walter De Gruyter & Company
References 2023033111431171332_j_cclm-2020-0626_ref_020
2023033111431171332_j_cclm-2020-0626_ref_021
2023033111431171332_j_cclm-2020-0626_ref_022
2023033111431171332_j_cclm-2020-0626_ref_009
2023033111431171332_j_cclm-2020-0626_ref_005
2023033111431171332_j_cclm-2020-0626_ref_027
2023033111431171332_j_cclm-2020-0626_ref_006
2023033111431171332_j_cclm-2020-0626_ref_028
2023033111431171332_j_cclm-2020-0626_ref_007
2023033111431171332_j_cclm-2020-0626_ref_029
2023033111431171332_j_cclm-2020-0626_ref_008
2023033111431171332_j_cclm-2020-0626_ref_023
2023033111431171332_j_cclm-2020-0626_ref_002
2023033111431171332_j_cclm-2020-0626_ref_024
2023033111431171332_j_cclm-2020-0626_ref_003
2023033111431171332_j_cclm-2020-0626_ref_025
2023033111431171332_j_cclm-2020-0626_ref_004
2023033111431171332_j_cclm-2020-0626_ref_026
2023033111431171332_j_cclm-2020-0626_ref_030
2023033111431171332_j_cclm-2020-0626_ref_031
2023033111431171332_j_cclm-2020-0626_ref_010
2023033111431171332_j_cclm-2020-0626_ref_032
2023033111431171332_j_cclm-2020-0626_ref_011
2023033111431171332_j_cclm-2020-0626_ref_033
2023033111431171332_j_cclm-2020-0626_ref_016
cr-split#-2023033111431171332_j_cclm-2020-0626_ref_001.1
2023033111431171332_j_cclm-2020-0626_ref_017
cr-split#-2023033111431171332_j_cclm-2020-0626_ref_001.2
2023033111431171332_j_cclm-2020-0626_ref_018
2023033111431171332_j_cclm-2020-0626_ref_019
2023033111431171332_j_cclm-2020-0626_ref_012
2023033111431171332_j_cclm-2020-0626_ref_034
2023033111431171332_j_cclm-2020-0626_ref_013
2023033111431171332_j_cclm-2020-0626_ref_035
2023033111431171332_j_cclm-2020-0626_ref_014
2023033111431171332_j_cclm-2020-0626_ref_036
2023033111431171332_j_cclm-2020-0626_ref_015
2023033111431171332_j_cclm-2020-0626_ref_037
References_xml – ident: 2023033111431171332_j_cclm-2020-0626_ref_027
  doi: 10.1096/fasebj.3.5.2784116
– ident: 2023033111431171332_j_cclm-2020-0626_ref_031
  doi: 10.1007/s00134-020-05985-9
– ident: 2023033111431171332_j_cclm-2020-0626_ref_007
  doi: 10.1038/nm1267
– ident: 2023033111431171332_j_cclm-2020-0626_ref_014
  doi: 10.1136/bmj.326.7403.1358
– ident: 2023033111431171332_j_cclm-2020-0626_ref_025
  doi: 10.1016/j.jhep.2020.04.006
– ident: 2023033111431171332_j_cclm-2020-0626_ref_026
  doi: 10.1016/j.ijid.2020.01.009
– ident: 2023033111431171332_j_cclm-2020-0626_ref_037
  doi: 10.1515/cclm-2020-0188
– ident: 2023033111431171332_j_cclm-2020-0626_ref_006
  doi: 10.1128/JVI.79.23.14614-14621.2005
– ident: 2023033111431171332_j_cclm-2020-0626_ref_024
  doi: 10.1515/cclm-2020-0369
– ident: 2023033111431171332_j_cclm-2020-0626_ref_030
  doi: 10.1590/1806-3713/e20180417
– ident: 2023033111431171332_j_cclm-2020-0626_ref_034
  doi: 10.1016/j.jcpa.2014.01.004
– ident: 2023033111431171332_j_cclm-2020-0626_ref_011
  doi: 10.1016/j.medmal.2020.03.007
– ident: 2023033111431171332_j_cclm-2020-0626_ref_018
  doi: 10.1515/dx-2020-0057
– ident: 2023033111431171332_j_cclm-2020-0626_ref_016
  doi: 10.3892/ijmm.14.2.311
– ident: 2023033111431171332_j_cclm-2020-0626_ref_032
  doi: 10.1161/CIRCRESAHA.116.307708
– ident: 2023033111431171332_j_cclm-2020-0626_ref_019
  doi: 10.3389/fimmu.2019.02590
– ident: 2023033111431171332_j_cclm-2020-0626_ref_020
  doi: 10.1172/JCI108166
– ident: 2023033111431171332_j_cclm-2020-0626_ref_012
  doi: 10.1016/S0140-6736(20)30211-7
– ident: 2023033111431171332_j_cclm-2020-0626_ref_021
  doi: 10.1186/s40560-015-0093-4
– ident: 2023033111431171332_j_cclm-2020-0626_ref_004
  doi: 10.1001/jama.2020.6775
– ident: 2023033111431171332_j_cclm-2020-0626_ref_003
  doi: 10.1128/CMR.00023-07
– ident: 2023033111431171332_j_cclm-2020-0626_ref_022
  doi: 10.1111/all.14238
– ident: 2023033111431171332_j_cclm-2020-0626_ref_035
  doi: 10.1186/s13104-016-2335-5
– ident: 2023033111431171332_j_cclm-2020-0626_ref_008
  doi: 10.1016/0009-8981(79)90176-1
– ident: 2023033111431171332_j_cclm-2020-0626_ref_015
  doi: 10.1016/j.mehy.2008.03.019
– ident: 2023033111431171332_j_cclm-2020-0626_ref_036
  doi: 10.1111/jth.14768
– ident: 2023033111431171332_j_cclm-2020-0626_ref_017
  doi: 10.1016/j.ijid.2004.07.014
– ident: 2023033111431171332_j_cclm-2020-0626_ref_013
  doi: 10.1371/journal.pcbi.1003534
– ident: 2023033111431171332_j_cclm-2020-0626_ref_023
  doi: 10.1007/s12016-020-08792-8
– ident: #cr-split#-2023033111431171332_j_cclm-2020-0626_ref_001.1
  doi: 10.7150/ijbs.45053
– ident: 2023033111431171332_j_cclm-2020-0626_ref_028
  doi: 10.1186/s12931-020-01352-w
– ident: 2023033111431171332_j_cclm-2020-0626_ref_010
  doi: 10.1515/cclm-2020-0722
– ident: 2023033111431171332_j_cclm-2020-0626_ref_002
– ident: 2023033111431171332_j_cclm-2020-0626_ref_009
  doi: 10.1007/s12291-014-0474-9
– ident: 2023033111431171332_j_cclm-2020-0626_ref_029
  doi: 10.1136/emj.2009.089383
– ident: 2023033111431171332_j_cclm-2020-0626_ref_033
  doi: 10.1097/01.CCM.0000057843.47705.E8
– ident: 2023033111431171332_j_cclm-2020-0626_ref_005
  doi: 10.1016/j.bbrc.2004.05.114
– ident: #cr-split#-2023033111431171332_j_cclm-2020-0626_ref_001.2
  doi: 10.7150/ijbs.45053
SSID ssj0015547
Score 2.4148777
Snippet Objectives As severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic is increasing its victims on a global scale with recurring outbreaks, it...
As severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) pandemic is increasing its victims on a global scale with recurring outbreaks, it remains of...
SourceID proquest
pubmed
crossref
walterdegruyter
SourceType Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 2141
SubjectTerms Adolescent
Adult
Aged
Anemia
Biomarkers
Biomarkers - blood
Blood
Blood Cell Count
C-reactive protein
Cell number
Coronavirus Infections - blood
Coronavirus Infections - diagnosis
Coronaviruses
COVID-19
Dimers
Eosinopenia
Female
Ferritin
Fibrinogen
Follow-Up Studies
Hemostasis
Hospitalization
Humans
Kinetics
L-Lactate dehydrogenase
Lactate dehydrogenase
Lactic acid
Leukocytes
Lymphocytes
Lymphopenia
Male
Middle Aged
Neutrophilia
Neutrophils
Pandemics
Parameters
Pneumonia, Viral - blood
Pneumonia, Viral - diagnosis
Preventable deaths
Prognosis
Respiratory diseases
risk stratification
Severe acute respiratory syndrome
Severe acute respiratory syndrome coronavirus 2
Viral diseases
Young Adult
Title A biological profile for diagnosis and outcome of COVID-19 patients
URI https://www.degruyter.com/doi/10.1515/cclm-2020-0626
https://www.ncbi.nlm.nih.gov/pubmed/33064667
https://www.proquest.com/docview/2458276008
https://www.proquest.com/docview/2451844779
Volume 58
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAZK
  databaseName: De Gruyter Complete Journal Package 2023
  customDbUrl:
  eissn: 1437-4331
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0015547
  issn: 1434-6621
  databaseCode: AGBEV
  dateStart: 19950101
  isFulltext: true
  titleUrlDefault: https://www.degruyterbrill.com
  providerName: Walter de Gruyter
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwELegk8Z4mGB8rDCQkZB4QIF8OfYeSymMj8LLNu0tchx7Leuaqk2F4K_n_JWm3SYBL1GUOL7ofr84d77zGaGXhEoqeKGCiBMRpKwoA57Ama7-xlhEs0Lpecjht-zoJP18Rs5WuapmdUldvBG_r11X8j-owjXAVa-S_Qdkm07hApwDvnAEhOH4Vxj3XtsaSkbRbvdtkzdY2gS6sS3AXC1rkG4mB_rfTz-9D6JDX0910TZO-36VpPC7wJnHHU90MH4zEv9lBK-5WPAfJidgKEfluJUvoAM7NpF2PD-HrpvHBnqEnVUuQUDvYtzMCsjJxWhsWPRVjie8PSkRtxM8pB1I04SuVmO5kZawNqPitXHTlr-6MqATU_tCiMllYOSEmV1g30J3dmngTbQvldm9PTZKaPtbt9FWTLMs7qCt3sd3g9Mm3AQ2FXUVPUHg23VxO2jbd7BuvFzxSO6i3Z8myaGU5_Plr9oH1Y2tcnwP7TonA_csY-6jW3K6h-70Pap7aHvogHyA-j28IhF2JMJAItyQCAMLsCMRrhT2JMKeRA_RyYfBcf8ocDtrBCJlaR1Q-KslUiouuEhJrGTG47BgRQL-a8EUOA2ElFRQbf6RMpJFzJOEprp0kFIhU8kj1JlWU7mPMCmSkHNCEwmmdVgqThjYROAWlCoLUx51UeBVlgtXdl7vfjLJtfsJ2s61tnOt7Vxru4teNe1ntuDKjS0PPAK5-ygXeazjwDrYzLroRXMbtKvjYHwqq6VpE7E0pfSwix5b5BpRHukuohtQrmRc_zoEdKVp_OTGPp-indW3coA69Xwpn4FJWxfPHSH_AHG6n1s
linkProvider Walter de Gruyter
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwEB7BVqJwKFBegQJGQuKUbhK_0uOytGyhWy5t1Vvk-AGIbYK6iRD8esaJN5QWLnCLFCe2Z-zMN57JNwAvubRSq9LFqeI6ZnlpYkXxyrO_5XkqRen8OeT8UMyO2btTfnrhXxifVmnsx_P2e9MzpI5NrVt_UDZwDaAFHmu9OEMFZ75oSibGn5qzxXVYQ2dFsBGsTd6-3j0ZYgloMLsSK4yyWIgsDdSNV1_zu2m6gjdvwca3LoQ9jO-CJdq7DXo1hz4B5ct225Tb-sclesf_m-Qd2AhAlUz6lXUXrtlqE9anq_pwm3BjHsLy92A6IT2Zk9c4CWXACcJhYvpMvs9LoipD6rbBYVhSOzL9cLL_Jk53SCB2Xd6H473do-ksDtUZYs1y1sQSv4zUWqe00oxnzgqVJWVeUvSBytwh8OTcSC09hOAmRQ9eUSqZp59xLskdfQCjqq7sIyC8pIlSXFKL8CwxTvEc7SpCS-NEwlQaQbxSTKEDdbmvoLEovAuDoiq8qAovqsKLKoJXQ_uvPWnHX1turfRchM27LDIfS_QByzyCF8NtlK6PpajK1m3XBn1jJuVOBA_79TF0Rb1XJ4SMQF5aML_6-PNwOMoqS1n6-J-ffA7rs6P5QXGwf_j-CdzsVk-XfLMFo-a8tU8RQjXls7BHfgLlCRRD
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Nb9QwEB1BKxU4FCgFAgWMhMQp3SS2Y_e4bLu0QAsHWnGL_IkQZVN1EyH49YwTJ0ALF7hFipPYM-PMG8_oDcAzLpwwSvs0V9ykTGqbKopXgf1NylyU2odzyMOjcv-YvfrAh2rCZSyrtO7jefut6RlSJ7Y2bTgoG7kG0ANPjDn9ggouQtOUopycWX8VVtHXS4y_VqcvX-ydjKkE9JddhxVGWVqWRR6ZGy-_5XfPdAlu3oD1r10Ge5zeL45ofhP0sIS-_uTzdtvobfP9Arvjf63xFqxHmEqmvV3dhitusQHXZkN3uA1YO4xJ-Tswm5Keyinom8Qm4ATBMLF9Hd-nJVELS-q2wVk4Unsye3tysJvmOyTSui434Xi-9362n8beDKlhkjWpwP8idc4rowzjhXelKjItNcUISEuPsJNzK4wIAILbHON3RalggXzG-0x6ehdWFvXC3QfCNc2U4oI6BGeZ9YpL9KoILK0vM6byBNJBL5WJxOWhf8ZpFQIYlFQVJFUFSVVBUgk8H8ef9ZQdfx25Nai5ilt3WRUhkxjSlTKBp-NtlG7IpKiFq9tuDEbGTIidBO715jF-ioaYrixFAuKCvfz8xp-nw1FWRc7yB__85BNYe7c7r94cHL1-CNc72-kqb7ZgpTlv3SPET41-HHfID8RNEvw
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+biological+profile+for+diagnosis+and+outcome+of+COVID-19+patients&rft.jtitle=Clinical+chemistry+and+laboratory+medicine&rft.au=Khourssaji%2C+Mehdi&rft.au=Chapelle%2C+Virginie&rft.au=Evenepoel%2C+Anton&rft.au=Belkhir%2C+Leila&rft.date=2020-12-01&rft.eissn=1437-4331&rft.volume=58&rft.issue=12&rft.spage=2141&rft_id=info:doi/10.1515%2Fcclm-2020-0626&rft_id=info%3Apmid%2F33064667&rft.externalDocID=33064667
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1434-6621&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1434-6621&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1434-6621&client=summon