ArticleThe Lancet regional health. Southeast Asia2024
Phenotypes of South Asian patients with atrial fibrillation and holistic integrated care management: cluster analysis of data from KERALA-AF Registry.
Article in The Lancet regional health. Southeast Asia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Association between comorbidity burden and outcomes of catheter ablation vs. medical therapy for atrial fibrillation: insights from the CABANA trial.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Trial
- AI-Based Phenotyping of Atrial Fibrillation Through Generative Topographic Mapping: Prospective Murcia Atrial Fibrillation Project III Cohort Study.Journal of medical Internet research · 2026Observational
- Emerging multidimensional biomarker system for cardiovascular-kidney-metabolic syndrome: from multi-omics integration to clinical artificial intelligence.Cardiovascular diabetology · 2026Review
- The Associations of Anthropometric Indices With Stages and Mortality in Cardiovascular-Kidney-Metabolic Syndrome: Insights From NHANES.Reviews in cardiovascular medicine · 2026Article
- Integration of clinical data with scanned ECGs using deep learning methods for stroke risk prediction in Indian patients with atrial fibrillation: evidence from the KERALA-AF study.The Lancet regional health. Southeast Asia · 2026Article
- Transforming atrial fibrillation management by targeting comorbidities and reducing atrial fibrillation burden: the 10th AFNET/EHRA consensus conference.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025Article
- Integrated Care in Patients with Atrial Fibrillation and Optimal Medical Treatment for Heart Failure: Results from the Heart failuRe ObsErvational Study (HEROES).Journal of clinical medicine · 2025Article
- Stress hyperglycemia ratio modulates the impact of organ dysfunction on mortality risk in critically ill patients with atrial fibrillation: insights from the MIMIC-IV database.Cardiovascular diabetology · 2025Article
- Roadmap for alleviating the manifestations of ageing in the cardiovascular system.Nature reviews. Cardiology · 2025Review
- Prognostic value of glycaemic variability for mortality in critically ill atrial fibrillation patients and mortality prediction model using machine learning.Cardiovascular diabetology · 2024Observational
- Clinical phenotypes of atrial fibrillation: A review of machine learning applications in personalized treatment.JRSM cardiovascular diseaseReview
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14 authors.
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Abstract
Background: Patients with atrial fibrillation (AF) frequently experience multimorbidity. Cluster analysis, a machine learning method for classifying patients with similar phenotypes, has not yet been used in South Asian AF patients. Methods: The Kerala Atrial Fibrillation Registry is a prospective multicentre cohort study in Kerala, India, and the largest prospective AF registry in South Asia. Hierarchical clustering was used to identify different phenotypic clusters. Outcomes were all-cause mortality, major adverse cardiovascular events (MACE), and composite bleeding events within one-year follow-up. Findings: 3348 patients were included (median age 65.0 [56.0-74.0] years; 48.8% male; median CHA Interpretation: Cluster analysis identified distinct phenotypes with implications for outcomes. There was poor ABC pathway adherence overall, but adherence to such integrated care was associated with improved outcomes. Funding: Kerala Chapter of Cardiological Society of India.
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