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Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19.
Wungu, Citrawati Dyah Kencono; Khaerunnisa, Siti; Putri, Eka Arum Cahyaning; Hidayati, Hanik Badriyah; Qurnianingsih, Ema; Lukitasari, Lina; Humairah, Ira.
  • Wungu CDK; Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, Indonesia; Institute of Tropical Disease, Universitas Airlangga, Surabaya, Java, Indonesia. Electronic address: citrawati.dyah@fk.unair.ac.id.
  • Khaerunnisa S; Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, Indonesia.
  • Putri EAC; Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, Indonesia.
  • Hidayati HB; Department of Neurology, Universitas Airlangga - Dr. Soetomo General Hospital, Surabaya, Java, Indonesia.
  • Qurnianingsih E; Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, Indonesia.
  • Lukitasari L; Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, Indonesia.
  • Humairah I; Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, Indonesia.
  • Soetjipto; Department of Physiology and Medical Biochemistry, Faculty of Medicine, Universitas Airlangga, Surabaya, Java, Indonesia; Institute of Tropical Disease, Universitas Airlangga, Surabaya, Java, Indonesia.
Int J Infect Dis ; 105: 551-559, 2021 Apr.
Article in English | MEDLINE | ID: covidwho-1131382
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Reviews Limits: Humans Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Reviews Limits: Humans Language: English Journal: Int J Infect Dis Journal subject: Communicable Diseases Year: 2021 Document Type: Article