2020
DOI: 10.1016/j.jinf.2020.05.022
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Cardiac troponins predict mortality in patients with COVID-19: A meta-analysis of adjusted risk estimates

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Cited by 33 publications
(40 citation statements)
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References 10 publications
(15 reference statements)
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“…Similar to findings in patients with other severe respiratory illnesses, elevated troponins appeared to have prognostic implications for patients admitted for covid-19. Some recent systematic reviews and meta-analyses have reported on the associations between elevated troponins and adverse outcomes of covid-19 [ 5 – 8 , 79 , 80 ]. However, there are several limitations to these analyses, including not accounting for the time point of troponin measurements and the cut-off threshold for troponin elevation, the variability in outcome definitions, the lack of adjustment for confounders and the inclusion of overlapping cohorts in analysis.…”
Section: Discussionmentioning
confidence: 99%
“…Similar to findings in patients with other severe respiratory illnesses, elevated troponins appeared to have prognostic implications for patients admitted for covid-19. Some recent systematic reviews and meta-analyses have reported on the associations between elevated troponins and adverse outcomes of covid-19 [ 5 – 8 , 79 , 80 ]. However, there are several limitations to these analyses, including not accounting for the time point of troponin measurements and the cut-off threshold for troponin elevation, the variability in outcome definitions, the lack of adjustment for confounders and the inclusion of overlapping cohorts in analysis.…”
Section: Discussionmentioning
confidence: 99%
“…Elevated troponins, indicating cardiac damage, are common findings during the pandemic [18]. These raised troponins are also a predictor of mortality [19]. The cardiomyopathy seems to be an immune or hormone-driven pathology rather than due to direct invasion of the SARS-CoV-2 virion in the myocardium [20].…”
Section: Introductionmentioning
confidence: 99%
“…Vrsalovic et al [13] used troponin to predict the death of COVID-19 patients. There are also some literatures that comprehensively analyzed multiple influencing factors, but there were only Chinese patients in these literatures, which caused a certain degree of one-sidedness.…”
Section: Introductionmentioning
confidence: 99%