A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)

Abstract Background 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. Methods EMBASE, MEDLINE...

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Main Authors: Celestin Danwang, Francky Teddy Endomba, Jan René Nkeck, Dominic Leandry Angong Wouna, Annie Robert, Jean Jacques Noubiap
Format: Article
Language:English
Published: BMC 2020-08-01
Series:Biomarker Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40364-020-00217-0
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spelling doaj-19a6d29d8e2b4c18a645cdbb8388aba42020-11-25T03:04:35ZengBMCBiomarker Research2050-77712020-08-018111310.1186/s40364-020-00217-0A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)Celestin Danwang0Francky Teddy Endomba1Jan René Nkeck2Dominic Leandry Angong Wouna3Annie Robert4Jean Jacques Noubiap5Epidemiology and Biostatistics Unit, Institut de Recherche Expérimentale et Clinique, Université catholique de LouvainPsychiatry Internship Program, University of BourgogneDepartment of Internal medicine, Faculty of Medicine and Biomedical Sciences, University of Yaoundé IGeneral medical practices unit, Bertoua Regional HospitalEpidemiology and Biostatistics Unit, Institut de Recherche Expérimentale et Clinique, Université catholique de LouvainCentre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide HospitalAbstract Background 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. Methods 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. Results 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; P-value:< 0.001), troponin I (SMD = 0.71, 95%CI:0.42;1.00; P-value:< 0.001), D-dimer (SMD = 0.54,95%CI:0.31;0.77; P-value:< 0.001), prothrombin time (SMD = 0.48, 95%CI:0.23;0.73; P-value: < 0.001), procalcitonin (SMD = 0.72, 95%CI: 0.34;1,11; P-value:< 0.001), interleukin-6 (SMD = 0.93, 95%CI: 0.25;1.61;P-value: 0.007),C-reactive protein (CRP) (SMD = 1.34, 95%CI:0.83;1.86; P-value:< 0.001), ALAT (SMD = 0.53, 95%CI: 0.34;0,71; P-value:< 0.001), ASAT (SMD = 0.96, 95%CI: 0.58;1.34; P-value: < 0.001), LDH (SMD = 1.36, 95%CI: 0.75;1.98; P-value:< 0.001), CK (SMD = 0.48, 95%CI: 0.10;0.87; P-value:0.01), total bilirubin (SMD = 0.32, 95%CI: 0.18;0.47;P-value: < 0.001), γ-GT (SMD = 1.03, 95%CI: 0.83;1.22; P-value: < 0.001), myoglobin (SMD = 1.14, 95%CI: 0.81;1.47; P-value:< 0.001), blood urea nitrogen (SMD = 0.32, 95%CI: 0.18;0.47;P-value:< 0.001) and Creatininemia (SMD = 0.18, 95%CI: 0.01;0.35; P-value:0.04) were significantly more elevated in severe cases, in opposition to lymphocyte count (SMD = -0.57, 95%CI:-0.71; − 0.42; P-value: < 0.001) and proportion of lymphocytes (SMD = -0.81, 95%CI: − 1.12; − 0.49; P-value:< 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; P-value:0.02), eosinophils (SMD = − 0.28, 95%CI:-0.50; − 0.06; P-value:0.01), haemoglobin (SMD = -0.20, 95%CI: − 0.37,-0.03; P-value:0.02), albuminemia (SMD-1.67,95%CI -2.40; − 0.94; P-value:< 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; P-value:0.002), thrombocytopenia (RR = 1.86, 95%CI: 1.59;2.17; P-value: < 0.001), elevated procalcitonin level (RR = 2.94, 95%CI: 2.09–4.15; P-value:< 0.001), CRP (RR =1.41,95%CI: 1.17–1.70; P-value:0.003), ASAT(RR =2.27, 95%CI: 1.76;2.94; P-value:< 0.001), CK(RR = 2.61, 95%CI: 1.35;5.05; P-value: 0.01), Creatininemia (RR = 3.66, 95%CI: 1.53;8.81; P-value: 0.02) and LDH blood level (RR = 2.03, 95%CI: 1.42;290; P-value: 0.003). Conclusion 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.http://link.springer.com/article/10.1186/s40364-020-00217-0Prognostic biomarkersCOVID-19Meta-analysis
collection DOAJ
language English
format Article
sources DOAJ
author Celestin Danwang
Francky Teddy Endomba
Jan René Nkeck
Dominic Leandry Angong Wouna
Annie Robert
Jean Jacques Noubiap
spellingShingle Celestin Danwang
Francky Teddy Endomba
Jan René Nkeck
Dominic Leandry Angong Wouna
Annie Robert
Jean Jacques Noubiap
A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)
Biomarker Research
Prognostic biomarkers
COVID-19
Meta-analysis
author_facet Celestin Danwang
Francky Teddy Endomba
Jan René Nkeck
Dominic Leandry Angong Wouna
Annie Robert
Jean Jacques Noubiap
author_sort Celestin Danwang
title A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)
title_short A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)
title_full A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)
title_fullStr A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)
title_full_unstemmed A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)
title_sort meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (covid-19)
publisher BMC
series Biomarker Research
issn 2050-7771
publishDate 2020-08-01
description Abstract Background 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. Methods 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. Results 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; P-value:< 0.001), troponin I (SMD = 0.71, 95%CI:0.42;1.00; P-value:< 0.001), D-dimer (SMD = 0.54,95%CI:0.31;0.77; P-value:< 0.001), prothrombin time (SMD = 0.48, 95%CI:0.23;0.73; P-value: < 0.001), procalcitonin (SMD = 0.72, 95%CI: 0.34;1,11; P-value:< 0.001), interleukin-6 (SMD = 0.93, 95%CI: 0.25;1.61;P-value: 0.007),C-reactive protein (CRP) (SMD = 1.34, 95%CI:0.83;1.86; P-value:< 0.001), ALAT (SMD = 0.53, 95%CI: 0.34;0,71; P-value:< 0.001), ASAT (SMD = 0.96, 95%CI: 0.58;1.34; P-value: < 0.001), LDH (SMD = 1.36, 95%CI: 0.75;1.98; P-value:< 0.001), CK (SMD = 0.48, 95%CI: 0.10;0.87; P-value:0.01), total bilirubin (SMD = 0.32, 95%CI: 0.18;0.47;P-value: < 0.001), γ-GT (SMD = 1.03, 95%CI: 0.83;1.22; P-value: < 0.001), myoglobin (SMD = 1.14, 95%CI: 0.81;1.47; P-value:< 0.001), blood urea nitrogen (SMD = 0.32, 95%CI: 0.18;0.47;P-value:< 0.001) and Creatininemia (SMD = 0.18, 95%CI: 0.01;0.35; P-value:0.04) were significantly more elevated in severe cases, in opposition to lymphocyte count (SMD = -0.57, 95%CI:-0.71; − 0.42; P-value: < 0.001) and proportion of lymphocytes (SMD = -0.81, 95%CI: − 1.12; − 0.49; P-value:< 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; P-value:0.02), eosinophils (SMD = − 0.28, 95%CI:-0.50; − 0.06; P-value:0.01), haemoglobin (SMD = -0.20, 95%CI: − 0.37,-0.03; P-value:0.02), albuminemia (SMD-1.67,95%CI -2.40; − 0.94; P-value:< 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; P-value:0.002), thrombocytopenia (RR = 1.86, 95%CI: 1.59;2.17; P-value: < 0.001), elevated procalcitonin level (RR = 2.94, 95%CI: 2.09–4.15; P-value:< 0.001), CRP (RR =1.41,95%CI: 1.17–1.70; P-value:0.003), ASAT(RR =2.27, 95%CI: 1.76;2.94; P-value:< 0.001), CK(RR = 2.61, 95%CI: 1.35;5.05; P-value: 0.01), Creatininemia (RR = 3.66, 95%CI: 1.53;8.81; P-value: 0.02) and LDH blood level (RR = 2.03, 95%CI: 1.42;290; P-value: 0.003). Conclusion 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.
topic Prognostic biomarkers
COVID-19
Meta-analysis
url http://link.springer.com/article/10.1186/s40364-020-00217-0
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