Tissue Doppler-derived atrial dyssynchrony predicts new-onset atrial fibrillation during hospitalization for ST-elevation myocardial infarction

Incidence and predictors of new-onset atrial fibrillation in ST-elevation myocardial infarction: A single-center study

Background and Aims

Atrial fibrillation (AF) is a common arrhythmia that occurs following ST-elevation myocardial infarction (STEMI) and can significantly impact clinical outcomes. We investigated the incidence and predictors of AF following STEMI in patients, as well as its association with major adverse cardiac and cerebrovascular events (MACCE).

Methods

We conducted a retrospective cohort study, including all STEMI patients who presented under code 247 to Tehran Heart Center between 2016 and 2020 and completed a 1-year follow-up. Patients were divided into two groups based on the development of AF during follow-up, and their baseline and clinical characteristics were compared. We used multivariable regression models to identify predictors of MACCE.

Results

Out of 3647 STEMI patients, 84 (2.3%) developed new-onset AF (NOAF). Patients with AF were significantly older and had lower levels of total and low-density lipoprotein cholesterol, triglyceride, and hemoglobin, but higher levels of fasting blood sugar and creatinine. AF patients were also more likely to have a history of hypertension, chronic kidney disease (CKD), congestive heart failure, and cerebrovascular accidents. The multivariable logistic regression model identified the CHA2DS2-VASc score and CKD as independent predictors of NOAF following primary percutaneous coronary intervention. Furthermore, the incidence of MACCE was higher in the AF group, and AF independently predicted MACCE with a hazard ratio of 2.766.

Conclusion

The CHA2DS2-VASc score and the presence of CKD can serve as useful predictors of NOAF among patients with STEMI. Early detection and appropriate management are crucial to improve outcomes.

Atrial Fibrillation Complicating Acute Myocardial Infarction: Prevalence, Impact, and Management Considerations

PURPOSE OF REVIEW

Atrial fibrillation (AF) and myocardial infarction (MI) often coexist, and this overlapping nature leads to heightened morbidity and increases the need for comprehensive risk management strategies. The precise trajectory and implications of atrial fibrillation complicating myocardial infarction remain subjects of debate, with divergent reports presenting varying accounts. This review seeks to provide an in-depth exploration of the existing literature to cover the predictors, implication, and available management of new onset atrial fibrillation (NOAF) complicating acute myocardial infarction (AMI).

RECENT FINDINGS

Clinical risk factors, laboratory markers, echocardiographic findings, and angiographic data can be used to assess patients at risk of developing NOAF post-AMI. The diagnosis of NOAF post MI has been associated with overall worse short- and long-term prognosis with increased risk for mortality, cardiogenic shock, stroke, and bleeding, along with reduced rates of coronary angiography and percutaneous coronary intervention, and higher risk of future recurrence of AF and ischemic stroke. Despite the paucity of preventative treatment, the optimal management of acute coronary syndrome and the use of guideline directed therapy do decrease the risk of development of atrial fibrillation post myocardial infarction.

Determinants of left intra-atrial electromechanical delay as evaluated by tissue Doppler imaging in candidates for coronary artery bypass graft surgery

OBJECTIVES

Inhomogeneity in the atrial conduction time is a predisposing factor for atrial fibrillation. The aim of our study was to determine the independent determinants of the left intra-atrial electromechanical delay (LIAEMD) as a marker of left atrial (LA) dyssynchrony in candidates for coronary artery bypass graft surgery (CABGS).

METHODS

This prospective cross-sectional study recruited 516 consecutive candidates for CABGS. Via the pulsed-wave tissue Doppler imaging modality in echocardiography, the times between the P wave and the peak of the a' wave at the septal and lateral mitral annuli were measured and the difference between these times was considered to be LIAEMD. Additionally, clinical and laboratory data on each patient were gathered. The odds ratio for an increased LIAEMD was calculated in patients with and without diabetes in univariate and multivariate analyses.

RESULTS

The multivariable analysis revealed that in the patients without diabetes, obesity, calcium-channel blocker usage, an increased maximal LA volume, and a decreased lateral e'/a' ratio and in the diabetic patients, diuretic usage and a decreased lateral e'/a' ratio were independently correlated with an increased likelihood of LIAEMD occurrence (P < .05).

CONCLUSIONS

In our study on CABGS candidates, in the patients without diabetes, obesity, an increased maximal LA volume, calcium-channel blocker usage, and a decreased lateral e'/a' ratio and in the diabetic patients, diuretic usage and a decreased lateral e'/a' ratio independently determined increased LIAEMD. The prevention or treatment of factors that are detrimental to the LA electromechanical function may be helpful for the preservation of the LA electromechanical integrity.