Publicação
When atrial fibrillation meets acute myocardial infarction: a hidden risk demanding closer attention
| Resumo: | Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and has been observed in up to 21% of hospitalized patients experiencing acute myocardial infarction (AMI). Potential triggers of AF in this context include hemodynamic instability resulting from left ventricular dysfunction, pericardial inflammation, atrial ischemia or infarction, metabolic disturbances, and elevated levels of endogenous or exogenous catecholamines. Multiple studies have investigated the clinical profiles of patients who develop AF during AMI. One of the largest datasets comes from the Cooperative Cardiovascular Project,4 where multivariate analysis identified advanced heart failure (Killip class IV) as the strongest predictor of AF development; other significant predictors included elevated admission heart rate, which may reflect left ventricular dysfunction and hemodynamic compromise, and advanced age. |
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| Autores principais: | Martins, Ana Margarida |
| Outros Autores: | Lima da Silva, Gustavo |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório da Universidade de Lisboa |
| Resumo: | Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia and has been observed in up to 21% of hospitalized patients experiencing acute myocardial infarction (AMI). Potential triggers of AF in this context include hemodynamic instability resulting from left ventricular dysfunction, pericardial inflammation, atrial ischemia or infarction, metabolic disturbances, and elevated levels of endogenous or exogenous catecholamines. Multiple studies have investigated the clinical profiles of patients who develop AF during AMI. One of the largest datasets comes from the Cooperative Cardiovascular Project,4 where multivariate analysis identified advanced heart failure (Killip class IV) as the strongest predictor of AF development; other significant predictors included elevated admission heart rate, which may reflect left ventricular dysfunction and hemodynamic compromise, and advanced age. |
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