The impact of socioeconomic deprivation on the risk of atrial fibrillation in patients with diabetes mellitus: A nationwide population-based study

Social drivers in atrial fibrillation occurrence, screening, treatment, and outcomes: systematic-narrative hybrid review

The importance of social drivers of health (SDOH) in the occurrence, detection, treatment, and outcome of atrial fibrillation (AF) has attracted increasing attention. Addressing SDOH factors may suggest opportunities to prevent AF and its complications. We aimed to conduct a structured narrative review and summarize current knowledge on the association between race and ethnicity, SDOH, including rural vs. urban habitation, education, income, and neighbourhood, and the risk of AF, its management, and complications. We identified 537 references in PubMed and 473 references in Embase. After removal of duplicates, we screened the abstracts of 975 references, resulting in 113 references that were examined for eligibility. Subsequently, 34 references were excluded leaving 79 references for the review. Evidence of a social gradient in AF incidence and prevelance were conflicting. However, we found substantial evidence indicating social inequities in the detection of AF, access to treatment, and outcomes such as healthcare utilization, bleeding, heart failure, stroke, dementia, work disability, and death. Inequities are reported across various health care systems and constitute a global problem affecting several continents, although data from Africa and South America are lacking. Given the documented social inequities in AF detection, management, and outcomes, there is an urgent need for healthcare systems, policymakers, and society to identify and implement effective interventions that can reduce inequities and improve outcomes in individuals with AF.

Adherence to the atrial fibrillation better care pathway and its associated factors among rural patients with atrial fibrillation in China: A cross-sectional study

BACKGROUND

The atrial fibrillation better care (ABC) pathway is an effective strategy for the integrated management of atrial fibrillation (AF). Current data on adherence to the ABC pathway among rural patients with AF in China are limited.

OBJECTIVES

To investigated adherence to the ABC pathway and its associated factors among rural patients with AF in China.

METHODS

In the cross-sectional study, we recruited 870 rural patients with AF from July 2022 to July 2023 in China. AF-related sociodemographic and clinical data was collected.

RESULTS

Among the 870 rural patients with AF, 437 (50.23 %) were male, 714 (82.07 %) were ≥65 years old. The level of adherence to ABC pathway was extremely low (5.75 %), and its associated factors included patients ≥75 years (compared with those <65 years, OR=0.165, 95 %CI: 0.065-0.417, P < 0.001), junior middle school and senior middle school education or above (compared with primary school education or below, OR=3.441, 95 %CI: 1.144-10.351, P = 0.028; OR=11.438, 95 %CI: 3.758-34.814, P < 0.001), average monthly household income per capita 1000-3000 RMB and >3000 RMB (compared with <1000 RMB, OR=3.993, 95 %CI: 1.343-11.877, P = 0.013; OR=4.474, 95 %CI: 1.478-13.541, P = 0.008), persistent AF (compared with paroxysmal AF, OR=0.062, 95 %CI: 0.008-0.466, P = 0.007) and multimorbidity (OR=0.356, 95 %CI: 0.163-0.781, P = 0.010).

CONCLUSIONS

There is an urgent need to develop targeted interventions and national policies to improve the adherence to the ABC pathway of rural AF patients in China.

Are Socioeconomic Factors Associated With Atrial Fibrillation Sex-Dependent? A Narrative Review

Atrial fibrillation (AF), the most prevalent cardiac arrhythmia, poses a significant public health and economic burden. Although socioeconomic factors such as income and education have been implicated in AF incidence and outcomes, the potential sex-specific associations remained underexplored. This narrative review aimed to fill this gap by synthesizing existing literature on the sex-specific impact of socioeconomic factors on AF incidence, treatment, and outcome. Among these socioeconomic factors, we identified income and education as the most frequently cited determinants. Nevertheless, the magnitude and direction of these sex differences remained inconsistent across studies. The review uncovered that many studies did not include sex in the analysis when assessing the impact of socioeconomic factors on AF. We highlighted that there is a paucity of studies employing sex-stratified reporting and sex interaction analyses, thereby hindering a deeper understanding of these relationships.