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Published on: February 26, 2013
Risk factors for heart failure hospitalizations among patients with atrial fibrillation
Lucien Eggimann1,2, Steffen Blum1,2,3, Stefanie Aeschbacher1,2
1Division of Cardiology, Department of Medicine, University Hospital Basel, University of Basel, Basel, Switzerland.
Insights
Predicting heart failure (HF) hospitalizations in atrial fibrillation (AF) patients is crucial. Key predictors include body mass index, chronic kidney disease, diabetes, QTc interval, BNP, diastolic blood pressure, and prior interventions.
Area of Science:
- Cardiology
- Internal Medicine
Background:
- Atrial fibrillation (AF) significantly increases the risk of developing heart failure (HF).
- Identifying predictors for HF hospitalizations in AF patients is essential for proactive management.
Purpose of the Study:
- To identify predictors of heart failure (HF) hospitalizations within an unselected population of patients diagnosed with atrial fibrillation (AF).
Main Methods:
- The study analyzed data from 1193 patients in the Basel Atrial Fibrillation Cohort Study.
- Clinical data, blood samples, ECGs, and lifestyle information were collected at baseline.
- Cox regression analyses were employed to determine independent predictors of HF hospitalization.
Main Results:
- Over a mean follow-up of 3.7 years, 110 patients (2.5 events per 100 person-years) were hospitalized for HF.
- Independent predictors identified included higher body mass index, chronic kidney disease, diabetes mellitus, and prolonged QTc interval.
- Elevated brain natriuretic peptide, lower diastolic blood pressure, history of pulmonary vein isolation or electrical cardioversion, and serum chloride levels also predicted HF hospitalizations.
Conclusions:
- Traditional cardiovascular risk factors and specific arrhythmia interventions are significant predictors of HF hospitalizations in AF patients.
- These findings suggest potential strategies to reduce HF incidence and hospitalizations in this vulnerable population.
Background:
Patients with atrial fibrillation (AF) have an increased risk for the development of heart failure (HF). In this study, we aimed to detect predictors of HF hospitalizations in an unselected AF population.
Methods:
The Basel Atrial Fibrillation Cohort Study is an ongoing observational multicenter cohort study in Switzerland. For this analysis, 1193 patients with documented AF underwent clinical examination, venous blood sampling and resting 12-lead ECG at baseline. Questionnaires about lifestyle and medical history were obtained in person at baseline and during yearly follow-up phone calls. HF hospitalizations were validated by two independent physicians. Cox regression analyses were performed using a forward selection strategy.
Results:
Overall, 29.8% of all patients were female and mean age was 69 ±12 years. Mean follow-up time was 3.7 ±1.5 years. Hospitalization for HF occurred in 110 patients, corresponding to an incidence of 2.5 events per 100 person years of follow-up. Independent predictors for HF were body mass index (HR 1.40 [95%CI 1.17; 1.66], p = 0.0002), chronic kidney disease (2.27 [1.49; 3.45], p = 0.0001), diabetes mellitus (2.13 [1.41; 3.24], p = 0.0004), QTc interval (1.25 [1.04; 1.49], p = 0.02), brain natriuretic peptide (2.19 [1.73; 2.77], p<0.0001), diastolic blood pressure (0.79 [0.65; 0.96], p = 0.02), history of pulmonary vein isolation or electrical cardioversion (0.54 [0.36; 0.80], p = 0.003) and serum chloride (0.82 [0.70; 0.96], p = 0.02).
Conclusions:
In this unselected AF population, several traditional cardiovascular risk factors and arrhythmia interventions predicted HF hospitalizations, providing potential opportunities for the implementation of strategies to reduce HF among AF patients.
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