Patient clusters and cost trajectories in the Swiss Atrial Fibrillation cohort

医学 心房颤动 队列 星团(航天器) 急诊医学 队列研究 医疗保健 间接成本 内科学 业务 会计 计算机科学 经济 程序设计语言 经济增长
作者
Helena Aebersold,Miquel Serra-Burriel,Fabienne Foster-Wittassek,Giorgio Moschovitis,Stefanie Aeschbacher,Angelo Auricchio,Jürg Hans Beer,Eva Blozik,Leo H. Bonati,David Conen,Stefan Felder,Carola A. Huber,Michael Kuehne,Andreas Mueller,Jolanda Oberle,Rebecca E. Paladini,Tobias Reichlin,Nicolas Rodondi,Anne Springer,Annina Stauber
出处
期刊:Heart [BMJ]
卷期号:109 (10): 763-770 被引量:4
标识
DOI:10.1136/heartjnl-2022-321520
摘要

Objective Evidence on long-term costs of atrial fibrillation (AF) and associated factors is scarce. As part of the Swiss-AF prospective cohort study, we aimed to characterise AF costs and their development over time, and to assess specific patient clusters and their cost trajectories. Methods Swiss-AF enrolled 2415 patients with variable duration of AF between 2014 and 2017. Patient clusters were identified using hierarchical cluster analysis of baseline characteristics. Ongoing yearly follow-ups include health insurance clinical and claims data. An algorithm was developed to adjudicate costs to AF and related complications. Results A subpopulation of 1024 Swiss-AF patients with available claims data was followed up for a median (IQR) of 3.24 (1.09) years. Average yearly AF-adjudicated costs amounted to SFr5679 (€5163), remaining stable across the observation period. AF-adjudicated costs consisted mainly of inpatient and outpatient AF treatment costs (SFr4078; €3707), followed by costs of bleeding (SFr696; €633) and heart failure (SFr494; €449). Hierarchical analysis identified three patient clusters: cardiovascular (CV; N=253 with claims), isolated-symptomatic (IS; N=586) and severely morbid without cardiovascular disease (SM; N=185). The CV cluster and SM cluster depicted similarly high costs across all cost outcomes; IS patients accrued the lowest costs. Conclusion Our results highlight three well-defined patient clusters with specific costs that could be used for stratification in both clinical and economic studies. Patient characteristics associated with adjudicated costs as well as cost trajectories may enable an early understanding of the magnitude of upcoming AF-related healthcare costs.
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