SynthesisInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2021
Meta-analysis of cardiac markers for predictive factors on severity and mortality of COVID-19.
Synthesis in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.
- Cardiac Injury in COVID-19: A Systematic Review of Relevant Meta-Analyses.Reviews in cardiovascular medicine · 2022Pooled it
- The Value of Ischemic Cardiac Biomarkers to Predict Spontaneous Breathing Trial or Extubation Failure: A Systematic Review.Journal of clinical medicine · 2024Review
- Changes in the investigation and management of suspected myocardial infarction and injury during COVID-19: a multi-centre study using routinely collected healthcare data.Frontiers in cardiovascular medicine · 2024Article
- Development of a proteomic signature associated with severe disease for patients with COVID-19 using data from 5 multicenter, randomized, controlled, and prospective studies.Scientific reports · 2023Article
- Association Between COVID-19 Infection and Cardiac Biomarkers in Hospitalized Patients at a Tertiary Care Center.Cureus · 2023Article
- CVD22: Explainable artificial intelligence determination of the relationship of troponin to D-Dimer, mortality, and CK-MB in COVID-19 patients.Computer methods and programs in biomedicine · 2023Article
- Natural Course of COVID-19 and Independent Predictors of Mortality.Biomedicines · 2023Article
- Temporal patterns of cytokine and injury biomarkers in hospitalized COVID-19 patients treated with methylprednisolone.Frontiers in immunology · 2023Article
- Predictors of COVID-19 severity among pregnant patients.Bosnian journal of basic medical sciences · 2022Article
- Utility of cardiac bioenzymes in predicting cardiovascular outcomes in SARS-CoV-2.World journal of virology · 2022Article
- Article
- Review
- Predicting the Disease Severity of Virus Infection.Advances in experimental medicine and biology · 2022Article
- Machine learning approaches in Covid-19 severity risk prediction in Morocco.Journal of big data · 2022Article
- Machine Learning to Calculate Heparin Dose in COVID-19 Patients with Active Cancer.Journal of clinical medicine · 2021Article
- Biomarkers in the management of acute heart failure: state of the art and role in COVID-19 era.ESC heart failure · 2021Review
- Natriuretic Peptide Levels and Clinical Outcomes Among Patients Hospitalized With Coronavirus Disease 2019 Infection.Critical care explorations · 2021Article
- B-Type Natriuretic Peptides and High-Sensitive Troponin I as COVID-19 Survival Factors: Which One Is the Best Performer?Journal of clinical medicine · 2021Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesPrevious 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.
methodsSeveral 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.
resultsTwenty-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.
conclusionsHigh 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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