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A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)
Prognostic factors for the Coronavirus disease 2019 (COVID1-9) are not well established. This study aimed to summarize the available data on the association between the severity of COVID-19 and common hematological, inflammatory and biochemical parameters. EMBASE, MEDLINE, Web of sciences were searc...
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| Published in: | Biomarker research 2020-08, Vol.8 (1), p.37-37, Article 37 |
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| container_title | Biomarker research |
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| creator | Danwang, Celestin Endomba, Francky Teddy Nkeck, Jan René Wouna, Dominic Leandry Angong Robert, Annie Noubiap, Jean Jacques |
| description | Prognostic factors for the Coronavirus disease 2019 (COVID1-9) are not well established. This study aimed to summarize the available data on the association between the severity of COVID-19 and common hematological, inflammatory and biochemical parameters.
EMBASE, MEDLINE, Web of sciences were searched to identify all published studies providing relevant data. Random-effects meta-analysis was used to pool effect sizes.
The bibliographic search yielded 287 citations, 31 of which were finally retained. Meta-analysis of standardized mean difference (SMD) between severe and non-severe COVID-19 cases showed that CK-MB (SMD = 0.68,95%CI: 0.48;0.87; |
| doi_str_mv | 10.1186/s40364-020-00217-0 |
| format | article |
| fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_19a6d29d8e2b4c18a645cdbb8388aba4</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A635041276</galeid><doaj_id>oai_doaj_org_article_19a6d29d8e2b4c18a645cdbb8388aba4</doaj_id><sourcerecordid>A635041276</sourcerecordid><originalsourceid>FETCH-LOGICAL-c646t-9b3fa6dee57c1e0552c3322ea2aef2e2e5412cb456226ae017d234409f7572393</originalsourceid><addsrcrecordid>eNptUstuEzEUHSEQrUp_gAUaiU27mOLX2OMNUpTyiFSpEq-tdcdzJ3WYjIPtKeTvcZpSGoS9sHV9zrkPn6J4SckFpY18EwXhUlSEkYoQRlVFnhTHjNSkUkrRp4_uR8VpjCuSV9MISvXz4oizRmnF6XGxnJVrTFDBCMM2ulj6vtz4hGNyMJSt82sI3zHEEmL01kHCrvzp0k0Z8RaDS9sdwfrgR7h1YYpl5yJCxJIRqsuz-fW3xWVF9fmL4lkPQ8TT-_Ok-Pr-3Zf5x-rq-sNiPruqrBQyVbrlPcgOsVaWIqlrZjlnDIEB9gwZ1oIy24paMiYBCVUd40IQ3ataMa75SbHY63YeVmYTXK5_azw4cxfwYWkgJGcHNFTnTEx3DbJWWNqAFLXt2rbhTQMtiKz1dq-1mdo1djYPJcBwIHr4Mrobs_S3RuX6lJRZ4OxeIPgfE8Zk1i5aHAYY0U_RMMG1bhghNENf_wNd-SnkT9mhcoNSqVr_RS0hN-DG3ue8didqZpLXJA9H7dJe_AeVd4drZ_2IvcvxA8L5ASFjEv5KS5hiNIvPnw6xbI-1wccYsH-YByVm50yzd6bJzjR3zjQkk149nuQD5Y8P-W9QKdqm</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2444067759</pqid></control><display><type>article</type><title>A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)</title><source>Publicly Available Content Database</source><source>PubMed Central</source><source>Coronavirus Research Database</source><creator>Danwang, Celestin ; Endomba, Francky Teddy ; Nkeck, Jan René ; Wouna, Dominic Leandry Angong ; Robert, Annie ; Noubiap, Jean Jacques</creator><creatorcontrib>Danwang, Celestin ; Endomba, Francky Teddy ; Nkeck, Jan René ; Wouna, Dominic Leandry Angong ; Robert, Annie ; Noubiap, Jean Jacques</creatorcontrib><description><![CDATA[Prognostic factors for the Coronavirus disease 2019 (COVID1-9) are not well established. This study aimed to summarize the available data on the association between the severity of COVID-19 and common hematological, inflammatory and biochemical parameters.
EMBASE, MEDLINE, Web of sciences were searched to identify all published studies providing relevant data. Random-effects meta-analysis was used to pool effect sizes.
The bibliographic search yielded 287 citations, 31 of which were finally retained. Meta-analysis of standardized mean difference (SMD) between severe and non-severe COVID-19 cases showed that CK-MB (SMD = 0.68,95%CI: 0.48;0.87;
< 0.001), troponin I (SMD = 0.71, 95%CI:0.42;1.00;
< 0.001), D-dimer (SMD = 0.54,95%CI:0.31;0.77;
< 0.001), prothrombin time (SMD = 0.48, 95%CI:0.23;0.73;
< 0.001), procalcitonin (SMD = 0.72, 95%CI: 0.34;1,11;
< 0.001), interleukin-6 (SMD = 0.93, 95%CI: 0.25;1.61;
0.007),C-reactive protein (CRP) (SMD = 1.34, 95%CI:0.83;1.86;
< 0.001), ALAT (SMD = 0.53, 95%CI: 0.34;0,71;
< 0.001), ASAT (SMD = 0.96, 95%CI: 0.58;1.34;
< 0.001), LDH (SMD = 1.36, 95%CI: 0.75;1.98;
< 0.001), CK (SMD = 0.48, 95%CI: 0.10;0.87;
0.01), total bilirubin (SMD = 0.32, 95%CI: 0.18;0.47;
< 0.001), γ-GT (SMD = 1.03, 95%CI: 0.83;1.22;
< 0.001), myoglobin (SMD = 1.14, 95%CI: 0.81;1.47;
< 0.001), blood urea nitrogen (SMD = 0.32, 95%CI: 0.18;0.47;
< 0.001) and Creatininemia (SMD = 0.18, 95%CI: 0.01;0.35;
0.04) were significantly more elevated in severe cases, in opposition to lymphocyte count (SMD = -0.57, 95%CI:-0.71; - 0.42;
< 0.001) and proportion of lymphocytes (SMD = -0.81, 95%CI: - 1.12; - 0.49;
< 0.001) which were found to be significantly lower in severe patients with other biomarker such as thrombocytes (SMD = -0.26, 95%CI: - 0.48; - 0.04;
0.02), eosinophils (SMD = - 0.28, 95%CI:-0.50; - 0.06;
0.01), haemoglobin (SMD = -0.20, 95%CI: - 0.37,-0.03;
0.02), albuminemia (SMD-1.67,95%CI -2.40; - 0.94;
< 0.001), which were also lower. Furthermore, severe COVID-19 cases had a higher risk to have lymphopenia (RR =1.66, 95%CI: 1.26;2.20;
:0.002), thrombocytopenia (RR = 1.86, 95%CI: 1.59;2.17;
: < 0.001), elevated procalcitonin level (RR = 2.94, 95%CI: 2.09-4.15;
:< 0.001), CRP (RR =1.41,95%CI: 1.17-1.70;
:0.003), ASAT(RR =2.27, 95%CI: 1.76;2.94;
:< 0.001), CK(RR = 2.61, 95%CI: 1.35;5.05;
: 0.01), Creatininemia (RR = 3.66, 95%CI: 1.53;8.81;
: 0.02) and LDH blood level (RR = 2.03, 95%CI: 1.42;290;
: 0.003).
Some inflammatory (procalcitonin, CRP), haematologic (lymphocyte, Thrombocytes), and biochemical (CK-MB, Troponin I, D-dimer, ASAT, ALAT, LDH, γ-GT) biomarkers are significantly associated with severe COVID-19. These biomarkers might help in prognostic risk stratification of patients with COVID-19.]]></description><identifier>ISSN: 2050-7771</identifier><identifier>EISSN: 2050-7771</identifier><identifier>DOI: 10.1186/s40364-020-00217-0</identifier><identifier>PMID: 32879731</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Analysis ; Antisatellite weapons ; Bilirubin ; Biological markers ; Biomarkers ; Blood tests ; C-reactive protein ; Calcium-binding protein ; Cell number ; Coronaviruses ; COVID-19 ; Creatine kinase ; Hemoglobin ; Hemoglobins ; Inflammation ; Interleukin 6 ; Interleukins ; Investigations ; Leukocytes (eosinophilic) ; Lymphocytes ; Lymphopenia ; Meta-analysis ; Myoglobin ; Myoglobins ; Platelets ; Procalcitonin ; Prognostic biomarkers ; Prothrombin ; Review ; Thrombin ; Thrombocytopenia ; Troponin ; Troponin I ; Urea</subject><ispartof>Biomarker research, 2020-08, Vol.8 (1), p.37-37, Article 37</ispartof><rights>The Author(s) 2020.</rights><rights>COPYRIGHT 2020 BioMed Central Ltd.</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c646t-9b3fa6dee57c1e0552c3322ea2aef2e2e5412cb456226ae017d234409f7572393</citedby><cites>FETCH-LOGICAL-c646t-9b3fa6dee57c1e0552c3322ea2aef2e2e5412cb456226ae017d234409f7572393</cites><orcidid>0000-0002-7976-4331</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456766/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2444067759?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,38493,43871,44566,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32879731$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Danwang, Celestin</creatorcontrib><creatorcontrib>Endomba, Francky Teddy</creatorcontrib><creatorcontrib>Nkeck, Jan René</creatorcontrib><creatorcontrib>Wouna, Dominic Leandry Angong</creatorcontrib><creatorcontrib>Robert, Annie</creatorcontrib><creatorcontrib>Noubiap, Jean Jacques</creatorcontrib><title>A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)</title><title>Biomarker research</title><addtitle>Biomark Res</addtitle><description><![CDATA[Prognostic factors for the Coronavirus disease 2019 (COVID1-9) are not well established. This study aimed to summarize the available data on the association between the severity of COVID-19 and common hematological, inflammatory and biochemical parameters.
EMBASE, MEDLINE, Web of sciences were searched to identify all published studies providing relevant data. Random-effects meta-analysis was used to pool effect sizes.
The bibliographic search yielded 287 citations, 31 of which were finally retained. Meta-analysis of standardized mean difference (SMD) between severe and non-severe COVID-19 cases showed that CK-MB (SMD = 0.68,95%CI: 0.48;0.87;
< 0.001), troponin I (SMD = 0.71, 95%CI:0.42;1.00;
< 0.001), D-dimer (SMD = 0.54,95%CI:0.31;0.77;
< 0.001), prothrombin time (SMD = 0.48, 95%CI:0.23;0.73;
< 0.001), procalcitonin (SMD = 0.72, 95%CI: 0.34;1,11;
< 0.001), interleukin-6 (SMD = 0.93, 95%CI: 0.25;1.61;
0.007),C-reactive protein (CRP) (SMD = 1.34, 95%CI:0.83;1.86;
< 0.001), ALAT (SMD = 0.53, 95%CI: 0.34;0,71;
< 0.001), ASAT (SMD = 0.96, 95%CI: 0.58;1.34;
< 0.001), LDH (SMD = 1.36, 95%CI: 0.75;1.98;
< 0.001), CK (SMD = 0.48, 95%CI: 0.10;0.87;
0.01), total bilirubin (SMD = 0.32, 95%CI: 0.18;0.47;
< 0.001), γ-GT (SMD = 1.03, 95%CI: 0.83;1.22;
< 0.001), myoglobin (SMD = 1.14, 95%CI: 0.81;1.47;
< 0.001), blood urea nitrogen (SMD = 0.32, 95%CI: 0.18;0.47;
< 0.001) and Creatininemia (SMD = 0.18, 95%CI: 0.01;0.35;
0.04) were significantly more elevated in severe cases, in opposition to lymphocyte count (SMD = -0.57, 95%CI:-0.71; - 0.42;
< 0.001) and proportion of lymphocytes (SMD = -0.81, 95%CI: - 1.12; - 0.49;
< 0.001) which were found to be significantly lower in severe patients with other biomarker such as thrombocytes (SMD = -0.26, 95%CI: - 0.48; - 0.04;
0.02), eosinophils (SMD = - 0.28, 95%CI:-0.50; - 0.06;
0.01), haemoglobin (SMD = -0.20, 95%CI: - 0.37,-0.03;
0.02), albuminemia (SMD-1.67,95%CI -2.40; - 0.94;
< 0.001), which were also lower. Furthermore, severe COVID-19 cases had a higher risk to have lymphopenia (RR =1.66, 95%CI: 1.26;2.20;
:0.002), thrombocytopenia (RR = 1.86, 95%CI: 1.59;2.17;
: < 0.001), elevated procalcitonin level (RR = 2.94, 95%CI: 2.09-4.15;
:< 0.001), CRP (RR =1.41,95%CI: 1.17-1.70;
:0.003), ASAT(RR =2.27, 95%CI: 1.76;2.94;
:< 0.001), CK(RR = 2.61, 95%CI: 1.35;5.05;
: 0.01), Creatininemia (RR = 3.66, 95%CI: 1.53;8.81;
: 0.02) and LDH blood level (RR = 2.03, 95%CI: 1.42;290;
: 0.003).
Some inflammatory (procalcitonin, CRP), haematologic (lymphocyte, Thrombocytes), and biochemical (CK-MB, Troponin I, D-dimer, ASAT, ALAT, LDH, γ-GT) biomarkers are significantly associated with severe COVID-19. These biomarkers might help in prognostic risk stratification of patients with COVID-19.]]></description><subject>Analysis</subject><subject>Antisatellite weapons</subject><subject>Bilirubin</subject><subject>Biological markers</subject><subject>Biomarkers</subject><subject>Blood tests</subject><subject>C-reactive protein</subject><subject>Calcium-binding protein</subject><subject>Cell number</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Creatine kinase</subject><subject>Hemoglobin</subject><subject>Hemoglobins</subject><subject>Inflammation</subject><subject>Interleukin 6</subject><subject>Interleukins</subject><subject>Investigations</subject><subject>Leukocytes (eosinophilic)</subject><subject>Lymphocytes</subject><subject>Lymphopenia</subject><subject>Meta-analysis</subject><subject>Myoglobin</subject><subject>Myoglobins</subject><subject>Platelets</subject><subject>Procalcitonin</subject><subject>Prognostic biomarkers</subject><subject>Prothrombin</subject><subject>Review</subject><subject>Thrombin</subject><subject>Thrombocytopenia</subject><subject>Troponin</subject><subject>Troponin I</subject><subject>Urea</subject><issn>2050-7771</issn><issn>2050-7771</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptUstuEzEUHSEQrUp_gAUaiU27mOLX2OMNUpTyiFSpEq-tdcdzJ3WYjIPtKeTvcZpSGoS9sHV9zrkPn6J4SckFpY18EwXhUlSEkYoQRlVFnhTHjNSkUkrRp4_uR8VpjCuSV9MISvXz4oizRmnF6XGxnJVrTFDBCMM2ulj6vtz4hGNyMJSt82sI3zHEEmL01kHCrvzp0k0Z8RaDS9sdwfrgR7h1YYpl5yJCxJIRqsuz-fW3xWVF9fmL4lkPQ8TT-_Ok-Pr-3Zf5x-rq-sNiPruqrBQyVbrlPcgOsVaWIqlrZjlnDIEB9gwZ1oIy24paMiYBCVUd40IQ3ataMa75SbHY63YeVmYTXK5_azw4cxfwYWkgJGcHNFTnTEx3DbJWWNqAFLXt2rbhTQMtiKz1dq-1mdo1djYPJcBwIHr4Mrobs_S3RuX6lJRZ4OxeIPgfE8Zk1i5aHAYY0U_RMMG1bhghNENf_wNd-SnkT9mhcoNSqVr_RS0hN-DG3ue8didqZpLXJA9H7dJe_AeVd4drZ_2IvcvxA8L5ASFjEv5KS5hiNIvPnw6xbI-1wccYsH-YByVm50yzd6bJzjR3zjQkk149nuQD5Y8P-W9QKdqm</recordid><startdate>20200831</startdate><enddate>20200831</enddate><creator>Danwang, Celestin</creator><creator>Endomba, Francky Teddy</creator><creator>Nkeck, Jan René</creator><creator>Wouna, Dominic Leandry Angong</creator><creator>Robert, Annie</creator><creator>Noubiap, Jean Jacques</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><general>BMC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7976-4331</orcidid></search><sort><creationdate>20200831</creationdate><title>A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)</title><author>Danwang, Celestin ; Endomba, Francky Teddy ; Nkeck, Jan René ; Wouna, Dominic Leandry Angong ; Robert, Annie ; Noubiap, Jean Jacques</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c646t-9b3fa6dee57c1e0552c3322ea2aef2e2e5412cb456226ae017d234409f7572393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Antisatellite weapons</topic><topic>Bilirubin</topic><topic>Biological markers</topic><topic>Biomarkers</topic><topic>Blood tests</topic><topic>C-reactive protein</topic><topic>Calcium-binding protein</topic><topic>Cell number</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Creatine kinase</topic><topic>Hemoglobin</topic><topic>Hemoglobins</topic><topic>Inflammation</topic><topic>Interleukin 6</topic><topic>Interleukins</topic><topic>Investigations</topic><topic>Leukocytes (eosinophilic)</topic><topic>Lymphocytes</topic><topic>Lymphopenia</topic><topic>Meta-analysis</topic><topic>Myoglobin</topic><topic>Myoglobins</topic><topic>Platelets</topic><topic>Procalcitonin</topic><topic>Prognostic biomarkers</topic><topic>Prothrombin</topic><topic>Review</topic><topic>Thrombin</topic><topic>Thrombocytopenia</topic><topic>Troponin</topic><topic>Troponin I</topic><topic>Urea</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Danwang, Celestin</creatorcontrib><creatorcontrib>Endomba, Francky Teddy</creatorcontrib><creatorcontrib>Nkeck, Jan René</creatorcontrib><creatorcontrib>Wouna, Dominic Leandry Angong</creatorcontrib><creatorcontrib>Robert, Annie</creatorcontrib><creatorcontrib>Noubiap, Jean Jacques</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale in Context: Science</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Biological Sciences</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Biomarker research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Danwang, Celestin</au><au>Endomba, Francky Teddy</au><au>Nkeck, Jan René</au><au>Wouna, Dominic Leandry Angong</au><au>Robert, Annie</au><au>Noubiap, Jean Jacques</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)</atitle><jtitle>Biomarker research</jtitle><addtitle>Biomark Res</addtitle><date>2020-08-31</date><risdate>2020</risdate><volume>8</volume><issue>1</issue><spage>37</spage><epage>37</epage><pages>37-37</pages><artnum>37</artnum><issn>2050-7771</issn><eissn>2050-7771</eissn><abstract><![CDATA[Prognostic factors for the Coronavirus disease 2019 (COVID1-9) are not well established. This study aimed to summarize the available data on the association between the severity of COVID-19 and common hematological, inflammatory and biochemical parameters.
EMBASE, MEDLINE, Web of sciences were searched to identify all published studies providing relevant data. Random-effects meta-analysis was used to pool effect sizes.
The bibliographic search yielded 287 citations, 31 of which were finally retained. Meta-analysis of standardized mean difference (SMD) between severe and non-severe COVID-19 cases showed that CK-MB (SMD = 0.68,95%CI: 0.48;0.87;
< 0.001), troponin I (SMD = 0.71, 95%CI:0.42;1.00;
< 0.001), D-dimer (SMD = 0.54,95%CI:0.31;0.77;
< 0.001), prothrombin time (SMD = 0.48, 95%CI:0.23;0.73;
< 0.001), procalcitonin (SMD = 0.72, 95%CI: 0.34;1,11;
< 0.001), interleukin-6 (SMD = 0.93, 95%CI: 0.25;1.61;
0.007),C-reactive protein (CRP) (SMD = 1.34, 95%CI:0.83;1.86;
< 0.001), ALAT (SMD = 0.53, 95%CI: 0.34;0,71;
< 0.001), ASAT (SMD = 0.96, 95%CI: 0.58;1.34;
< 0.001), LDH (SMD = 1.36, 95%CI: 0.75;1.98;
< 0.001), CK (SMD = 0.48, 95%CI: 0.10;0.87;
0.01), total bilirubin (SMD = 0.32, 95%CI: 0.18;0.47;
< 0.001), γ-GT (SMD = 1.03, 95%CI: 0.83;1.22;
< 0.001), myoglobin (SMD = 1.14, 95%CI: 0.81;1.47;
< 0.001), blood urea nitrogen (SMD = 0.32, 95%CI: 0.18;0.47;
< 0.001) and Creatininemia (SMD = 0.18, 95%CI: 0.01;0.35;
0.04) were significantly more elevated in severe cases, in opposition to lymphocyte count (SMD = -0.57, 95%CI:-0.71; - 0.42;
< 0.001) and proportion of lymphocytes (SMD = -0.81, 95%CI: - 1.12; - 0.49;
< 0.001) which were found to be significantly lower in severe patients with other biomarker such as thrombocytes (SMD = -0.26, 95%CI: - 0.48; - 0.04;
0.02), eosinophils (SMD = - 0.28, 95%CI:-0.50; - 0.06;
0.01), haemoglobin (SMD = -0.20, 95%CI: - 0.37,-0.03;
0.02), albuminemia (SMD-1.67,95%CI -2.40; - 0.94;
< 0.001), which were also lower. Furthermore, severe COVID-19 cases had a higher risk to have lymphopenia (RR =1.66, 95%CI: 1.26;2.20;
:0.002), thrombocytopenia (RR = 1.86, 95%CI: 1.59;2.17;
: < 0.001), elevated procalcitonin level (RR = 2.94, 95%CI: 2.09-4.15;
:< 0.001), CRP (RR =1.41,95%CI: 1.17-1.70;
:0.003), ASAT(RR =2.27, 95%CI: 1.76;2.94;
:< 0.001), CK(RR = 2.61, 95%CI: 1.35;5.05;
: 0.01), Creatininemia (RR = 3.66, 95%CI: 1.53;8.81;
: 0.02) and LDH blood level (RR = 2.03, 95%CI: 1.42;290;
: 0.003).
Some inflammatory (procalcitonin, CRP), haematologic (lymphocyte, Thrombocytes), and biochemical (CK-MB, Troponin I, D-dimer, ASAT, ALAT, LDH, γ-GT) biomarkers are significantly associated with severe COVID-19. These biomarkers might help in prognostic risk stratification of patients with COVID-19.]]></abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>32879731</pmid><doi>10.1186/s40364-020-00217-0</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-7976-4331</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2050-7771 |
| ispartof | Biomarker research, 2020-08, Vol.8 (1), p.37-37, Article 37 |
| issn | 2050-7771 2050-7771 |
| language | eng |
| recordid | cdi_doaj_primary_oai_doaj_org_article_19a6d29d8e2b4c18a645cdbb8388aba4 |
| source | Publicly Available Content Database; PubMed Central; Coronavirus Research Database |
| subjects | Analysis Antisatellite weapons Bilirubin Biological markers Biomarkers Blood tests C-reactive protein Calcium-binding protein Cell number Coronaviruses COVID-19 Creatine kinase Hemoglobin Hemoglobins Inflammation Interleukin 6 Interleukins Investigations Leukocytes (eosinophilic) Lymphocytes Lymphopenia Meta-analysis Myoglobin Myoglobins Platelets Procalcitonin Prognostic biomarkers Prothrombin Review Thrombin Thrombocytopenia Troponin Troponin I Urea |
| title | A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19) |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T03%3A29%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20meta-analysis%20of%20potential%20biomarkers%20associated%20with%20severity%20of%20coronavirus%20disease%202019%20(COVID-19)&rft.jtitle=Biomarker%20research&rft.au=Danwang,%20Celestin&rft.date=2020-08-31&rft.volume=8&rft.issue=1&rft.spage=37&rft.epage=37&rft.pages=37-37&rft.artnum=37&rft.issn=2050-7771&rft.eissn=2050-7771&rft_id=info:doi/10.1186/s40364-020-00217-0&rft_dat=%3Cgale_doaj_%3EA635041276%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c646t-9b3fa6dee57c1e0552c3322ea2aef2e2e5412cb456226ae017d234409f7572393%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2444067759&rft_id=info:pmid/32879731&rft_galeid=A635041276&rfr_iscdi=true |