Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19
Objectives: Previous observational studies have suggested that increased cardiac markers are commonly found in COVID-19. This study aimed to determine the relationship between several cardiac markers and the severity/mortality of COVID-19 patients. Methods: Several cardiac markers were analysed in t...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-04-01
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| Series: | International Journal of Infectious Diseases |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971221002253 |
| _version_ | 1829480629530525696 |
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| author | Citrawati Dyah Kencono Wungu Siti Khaerunnisa Eka Arum Cahyaning Putri Hanik Badriyah Hidayati Ema Qurnianingsih Lina Lukitasari Ira Humairah Soetjipto |
| author_facet | Citrawati Dyah Kencono Wungu Siti Khaerunnisa Eka Arum Cahyaning Putri Hanik Badriyah Hidayati Ema Qurnianingsih Lina Lukitasari Ira Humairah Soetjipto |
| author_sort | Citrawati Dyah Kencono Wungu |
| collection | DOAJ |
| description | Objectives: Previous observational studies have suggested that increased cardiac markers are commonly found in COVID-19. This study aimed to determine the relationship between several cardiac markers and the severity/mortality of COVID-19 patients. Methods: Several cardiac markers were analysed in this meta-analysis. RevMan 5.4 was used to provide pooled estimates for standardised mean difference (SMD) with 95% confidence intervals. Results: Twenty-nine clinical studies were included in this meta-analysis. Significantly higher CK-MB (0.64, 95% CI = 0.19–1.09), PCT (0.47, 95% CI = 0.26−0.68), NT-proBNP (1.90, 95% CI = 1.63–2.17), BNP (1.86, 95% CI = 1.63−2.09), and d-dimer (1.30, 95% CI = 0.91−1.69) were found in severe compared with non-severe COVID-19. Significantly higher CK-MB (3.84, 95% CI = 0.62−7.05), PCT (1.49, 95% CI = 0.86−2.13), NT-proBNP (4.66, 95% CI = 2.42−6.91), BNP (1.96, 95% CI = 0.78−3.14), troponin (1.64 (95% CI = 0.83−2.45), and d-dimer (2.72, 95% CI = 2.14−3.29) were found in those who died from compared with survivors of COVID-19. Conclusions: High CK-MB, PCT, NT-proBNP, BNP, and d-dimer could be predictive markers for severity of COVID-19, while high CK-MB, PCT, NT-proBNP, BNP, troponin, and d-dimer could be predictive markers for survival of COVID-19 patients. |
| first_indexed | 2024-12-14T21:10:57Z |
| format | Article |
| id | doaj.art-ba3d6ae7684247b997629598a3f6c6ec |
| institution | Directory Open Access Journal |
| issn | 1201-9712 |
| language | English |
| last_indexed | 2024-12-14T21:10:57Z |
| publishDate | 2021-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Infectious Diseases |
| spelling | doaj.art-ba3d6ae7684247b997629598a3f6c6ec2022-12-21T22:47:16ZengElsevierInternational Journal of Infectious Diseases1201-97122021-04-01105551559Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19Citrawati Dyah Kencono Wungu0Siti Khaerunnisa1Eka Arum Cahyaning Putri2Hanik Badriyah Hidayati3Ema Qurnianingsih4Lina Lukitasari5Ira Humairah6 Soetjipto7Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, Indonesia; Institute of Tropical Disease, Universitas Airlangga, Surabaya, Java, Indonesia; Corresponding author at: Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Jl. Prof. Dr. Moestopo 47, Surabaya, East Java, Indonesia.Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, IndonesiaDepartment of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, IndonesiaDepartment of Neurology, Universitas Airlangga - Dr. Soetomo General Hospital, Surabaya, Java, IndonesiaDepartment of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, IndonesiaDepartment of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, IndonesiaDepartment of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, IndonesiaDepartment of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, Indonesia; Institute of Tropical Disease, Universitas Airlangga, Surabaya, Java, IndonesiaObjectives: Previous observational studies have suggested that increased cardiac markers are commonly found in COVID-19. This study aimed to determine the relationship between several cardiac markers and the severity/mortality of COVID-19 patients. Methods: Several cardiac markers were analysed in this meta-analysis. RevMan 5.4 was used to provide pooled estimates for standardised mean difference (SMD) with 95% confidence intervals. Results: Twenty-nine clinical studies were included in this meta-analysis. Significantly higher CK-MB (0.64, 95% CI = 0.19–1.09), PCT (0.47, 95% CI = 0.26−0.68), NT-proBNP (1.90, 95% CI = 1.63–2.17), BNP (1.86, 95% CI = 1.63−2.09), and d-dimer (1.30, 95% CI = 0.91−1.69) were found in severe compared with non-severe COVID-19. Significantly higher CK-MB (3.84, 95% CI = 0.62−7.05), PCT (1.49, 95% CI = 0.86−2.13), NT-proBNP (4.66, 95% CI = 2.42−6.91), BNP (1.96, 95% CI = 0.78−3.14), troponin (1.64 (95% CI = 0.83−2.45), and d-dimer (2.72, 95% CI = 2.14−3.29) were found in those who died from compared with survivors of COVID-19. Conclusions: High CK-MB, PCT, NT-proBNP, BNP, and d-dimer could be predictive markers for severity of COVID-19, while high CK-MB, PCT, NT-proBNP, BNP, troponin, and d-dimer could be predictive markers for survival of COVID-19 patients.http://www.sciencedirect.com/science/article/pii/S1201971221002253COVID-19Cardiac markerSeverityMortality |
| spellingShingle | Citrawati Dyah Kencono Wungu Siti Khaerunnisa Eka Arum Cahyaning Putri Hanik Badriyah Hidayati Ema Qurnianingsih Lina Lukitasari Ira Humairah Soetjipto Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19 International Journal of Infectious Diseases COVID-19 Cardiac marker Severity Mortality |
| title | Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19 |
| title_full | Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19 |
| title_fullStr | Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19 |
| title_full_unstemmed | Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19 |
| title_short | Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19 |
| title_sort | meta analysis of cardiac markers for predictive factors on severity and mortality of covid 19 |
| topic | COVID-19 Cardiac marker Severity Mortality |
| url | http://www.sciencedirect.com/science/article/pii/S1201971221002253 |
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