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Published on: February 26, 2013
Comorbidity phenotypes, prognostic implications, and Atrial fibrillation Better Care pathway effectiveness in
Xu Tian1, Zijie Ding1, Jinhua Zhao1
1Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular disease, Department of Cardiology, Tianjin Institute of Cardiology, the Second Hospital of Tianjin Medical University, Tianjin, China.
Insights
Early-onset atrial fibrillation (AF) patients were categorized into three comorbidity clusters. Adherence to the Atrial fibrillation Better Care (ABC) pathway improved outcomes for all AF patients, irrespective of their specific comorbidity profile.
Area of Science:
- Cardiology
- Genetics
- Epidemiology
Background:
- Early-onset atrial fibrillation (AF) is characterized by diverse and often overlooked comorbidity profiles.
- Understanding these profiles is crucial for effective patient management.
Purpose of the Study:
- To identify distinct comorbidity phenotype clusters in young AF patients (aged 18-45).
- To assess the prognostic implications of these phenotypes.
- To evaluate the effectiveness of the Atrial fibrillation Better Care (ABC) pathway in managing different AF phenotypes.
Main Methods:
- Latent class analysis was used to define comorbidity phenotypes in 3573 early-onset AF patients.
- The study investigated associations between phenotypes, AF management, and prognosis.
- The primary outcome was a composite of all-cause death and major adverse cardiovascular events.
Main Results:
- Three phenotype clusters were identified: Low Complexity (53.1%), Multiple Cardiovascular Metabolic Comorbidities (29.0%), and Structural Heart Disease (17.9%).
- Patients in the latter two clusters faced significantly higher risks of adverse outcomes compared to the Low Complexity group.
- Adherence to the ABC pathway (33.2% of patients) was associated with a reduced risk of the primary outcome across all phenotypes.
Conclusions:
- Early-onset AF patients can be stratified into three distinct comorbidity phenotypes.
- The Atrial fibrillation Better Care (ABC) pathway demonstrates significant prognostic benefits for younger AF patients, regardless of their comorbidity profile.
Background:
Patients with early-onset atrial fibrillation (AF) exhibit heterogeneous comorbidity profiles, but they have long been overlooked.
Objective:
This study aimed to identify comorbidity phenotype clusters in younger patients with AF and evaluate prognosis and effectiveness of holistic or integrated care management based on the Atrial fibrillation Better Care (ABC) pathway among different phenotypes.
Methods:
In this study from the Tianjin Atrial Fibrillation Project, latent class analysis was conducted to determine comorbidity phenotypes in patients with AF aged 18-45 years. We investigated the associations between the comorbidity phenotypes, AF management strategies, and prognosis. The primary outcome was the composite of all-cause death and major adverse cardiovascular events.
Results:
We included 3573 patients with early-onset AF (mean age, 38.68 ± 5.82 years; 781 [21.9%] female). 3 phenotype clusters were identified: (1) cluster 1: low complexity (n = 1897, 53.1%); (2) cluster 2: multiple cardiovascular metabolic comorbidities (n = 1037, 29.0%); and (3) cluster 3: structural heart disease (n = 639, 17.9%). During a median follow-up of 1408 days (interquartile range, 496-2532), the risk of the primary outcome was higher in cluster 2 (hazard ratio [HR], 1.94; 95% confidence interval [Cl], 1.56-2.42; P < .001) and 3 (HR, 2.63; 95% Cl, 2.15-3.20; P < .001), compared with cluster 1. ABC pathway adherence (n = 1186 [33.2%] patients) was associated with reduced risk of the primary outcome overall (HR, 0.47; 95% Cl, 0.40-0.56; P < .001), with similar benefits across different comorbidity phenotypes (Pint = 0.097).
Conclusion:
3 heterogeneous comorbidity-based phenotype clusters were identified in patients with early-onset AF, associated with different treatment and prognosis. Full ABC pathway adherence improved prognosis in younger patients with AF, regardless of their comorbidity phenotypes.
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