Key result
Electrocardiographic changes, including ST-segment elevation, ST-segment depression, and T wave inversion, are associated with severe COVID-19 disease and provide important prognostic insight.
Why the study?
Understanding the pathophysiological aspects and electrocardiographic findings of myocardial ischemia in patients with SARS-CoV-2 infection can guide proper management and improve morbidity and mortality.
The ECG is an important, accessible prognostic tool for evaluating myocardial ischemia and cardiac involvement in COVID-19 patients.
Given the possible pathophysiological links between myocardial ischemia and SARS-CoV-2 infection, several studies have focused attention on acute coronary syndromes in order to improve patients' morbidity and mortality. Understanding the pathophysiological aspects of myocardial ischemia in patients infected with SARS-CoV-2 can open a broad perspective on the proper management for each patient. The electrocardiogram (ECG) remains the easiest assessment of cardiac involvement in COVID-19 patients, due to its non-invasive profile, accessibility, low cost, and lack of radiation. The ECG changes provide insight into the patient's prognosis, indicating either the worsening of an underlying cardiac illnesses or the acute direct injury by the virus. This indicates that the ECG is an important prognostic tool that can affect the outcome of COVID-19 patients, which important to correlate its aspects with the clinical characteristics and patient's medical history. The ECG changes in myocardial ischemia include a broad spectrum in patients with COVID-19 with different cases reported of ST-segment elevation, ST-segment depression, and T wave inversion, which are associated with severe COVID-19 disease.
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Duca et al. (2022) conducted a review in COVID-19 and myocardial ischemia. SARS-CoV-2 infection was evaluated. Electrocardiographic changes, including ST-segment elevation, ST-segment depression, and T wave inversion, are associated with severe COVID-19 disease and provide important prognostic insight.
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