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10.21203/rs.3.rs-34729/v1

http://scihub22266oqcxt.onion/10.21203/rs.3.rs-34729/v1
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32702736!7336705!32702736
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suck abstract from ncbi


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pmid32702736      Res+Sq 2020 ; ä (ä): ä
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  • Prognostic value of Cardiac Biomarkers in COVID-19 Infection: A Meta-analysis #MMPMID32702736
  • Dawson D; Dominic P; Sheth A; Modi M
  • Res Sq 2020[Jun]; ä (ä): ä PMID32702736show ga
  • Background Multiple Biomarkers have recently been shown to be elevated in COVID-19, a respiratory infection with multi-organ dysfunction; however, information regarding the prognostic value of cardiac biomarkers as it relates to disease severity and cardiac injury are inconsistent. Research Question The goal of this meta-analysis was to summarize the evidence regarding the prognostic relevance of cardiac biomarkers from data available in published reports. Study Design and Methods PubMed was searched from inception through April 2020 for studies comparing median values of cardiac biomarkers in critically ill versus non-critically ill COVID-19 patients, or patients who died versus those who survived. The weighted mean differences (WMD) and 95% confidence interval (CI) between the groups were calculated for each study and combined using a random effects meta-analysis model. The odds ratio (OR) for mortality based on cardiac injury was combined from studies reporting it. Results Troponin levels were significantly higher in COVID-19 patients who died or were critically ill versus those who were alive or not critically ill (WMD 0.58, 95% CI 0.42-0.71, p<0.001). Cardiac injury was independently associated with significantly increased odds of mortality (OR 6.641, 95% CI 1.26 - 35.1, p=0.03). No difference in BNP was seen between the two groups. A significant difference in levels of D-dimer was seen in those who died or were critically ill. CK levels were only significantly higher in those who died versus those who were alive (WMD 0.47 95% CI 0.09-0.84, p=0.014). Interpretation Cardiac biomarkers add prognostic value to the determination of the severity of COVID-19 and can predict mortality.
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