ArticleCardiology journal2020
Myocardial injury determination improves risk stratification and predicts mortality in COVID-19 patients.
Article in Cardiology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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Who cites it
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.
- Prevalence of Cardiovascular Complications in Coronavirus Disease 2019 adult Patients: A Systematic Review and Meta-Analysis.Iranian journal of medical sciences · 2023Pooled it
- Impact of COVID-19 on in-hospital cardiac arrest outcomes: An updated meta-analysis.Cardiology journalPooled it
- A study of clinical and serological correlation of early myocardial injury in elderly patients infected with the Omicron variant.Frontiers in cardiovascular medicine · 2024Article
- Predictors of lower exercise capacity in patients with cancer.Scientific reports · 2023Article
- Use and Prognostic Implications of Cardiac Troponin in COVID-19.Heart failure clinics · 2023Review
- Normal high-sensitivity cardiac troponin for ruling-out inpatient mortality in acute COVID-19.PloS one · 2023Article
- Use and Prognostic Implications of Cardiac Troponin in COVID-19.Cardiology clinics · 2022Review
- The Potential Impact of COVID-19 Virus on the Heart and the Circulatory System.Infection and drug resistance · 2022Review
- Cardiovascular injuries and SARS-COV-2 infection: focus on elderly people.Journal of geriatric cardiology : JGC · 2021Article
- Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models.BMC medical informatics and decision making · 2021Review
- Cardiac troponin and COVID-19 severity: Results from BIOCOVID study.European journal of clinical investigation · 2021Observational
- How often and to what extent do admitted COVID-19 patients have signs of cardiac injury?Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2021Article
- A meta-analysis on the role of pre-existing chronic disease in the cardiac complications of SARS-CoV-2 infection.iScience · 2021Article
- Impact of Coronavirus Disease 2019 on Out-of-Hospital Cardiac Arrest Survival Rate: A Systematic Review with Meta-Analysis.Journal of clinical medicine · 2021Article
- Application of a prediction model with laboratory indexes in the risk stratification of patients with COVID-19.Experimental and therapeutic medicine · 2021Article
- Post-COVID-19 heart syndrome.Cardiology journal · 2021Article
- Cardiovascular comorbidity and death from COVID-19: Prevalence and differential characteristics.Cardiology journal · 2021Article
- Elevated cardiac biomarkers may be effective prognostic predictors for patients with COVID-19: A multicenter, observational study.The American journal of emergency medicine · 2021Article
- Heart inflammation risk after COVID-19 vaccine.Cardiology journal · 2021Article
- Myocardial injuries among patients with COVID-19: a systematic review.Le infezioni in medicina · 2021Review
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite being associated with worse prognosis in patients with COVID-19, systematic determination of myocardial injury is not recommended. The aim of the study was to study the effect of myocardial injury assessment on risk stratification of COVID-19 patients.
methodsSeven hundred seven consecutive adult patients admitted to a large tertiary hospital with confirmed COVID-19 were included. Demographic data, comorbidities, laboratory results and clinical outcomes were recorded. Charlson comorbidity index (CCI) was calculated in order to quantify the degree of comorbidities. Independent association of cardiac troponin I (cTnI) increase with outcomes was evaluated by multivariate regression analyses and area under curve. In addition, propensity-score matching was performed to assemble a cohort of patients with similar baseline characteristics.
resultsIn the matched cohort (mean age 66.76 ± 15.7 years, 37.3% females), cTnI increase above the upper limit was present in 20.9% of the population and was associated with worse clinical outcomes, including all-cause mortality within 30 days (45.1% vs. 23.2%; p = 0.005). The addition of cTnI to a multivariate prediction model showed a significant improvement in the area under the time-dependent receiver operating characteristic curve (0.775 vs. 0.756, DC-statistic = 0.019; 95% confidence interval 0.001-0.037). Use of renin-angiotensin-aldosterone system inhibitors was not associated with mortality after adjusting by baseline risk factors.
conclusionsMyocardial injury is independently associated with adverse outcomes irrespective of baseline comorbidities and its addition to multivariate regression models significantly improves their performance in predicting mortality. The determination of myocardial injury biomarkers on hospital admission and its combination with CCI can classify patients in three risk groups (high, intermediate and low) with a clearly distinct 30-day mortality.
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