Department of Cardiology, School of Medical Sciences, Örebro University, Örebro, Sweden.
Clinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Sci Rep. 2024 Oct 25;14(1):25386. doi: 10.1038/s41598-024-74478-2.
The association of socioeconomic status with cardiovascular morbidity and mortality is well known, but data on the influence of education level on mortality in individuals with atrial fibrillation (AF) are scarce. We investigated education level as a predictor of all-cause mortality in patients diagnosed with AF. This retrospective cohort study used a database created from several Swedish nationwide registries to identify all patients hospitalized with a diagnosis of AF hospitalized from 1995 to 2008. Education level was categorized as primary, secondary, and academic. All-cause mortality risk was estimated in subpopulations defined by the Charlson Comorbidity Index and several comorbidities. A total of 272,182 patients (56% male; mean age 72 ± 10 years) were followed for five years. Cox regression models showed a reduction in all-cause mortality risk with increased education level. Hazard ratios (HR) relative to primary education remained significant after stratification and adjustment for several confounders: secondary education HR = 0.88; 95% CI: 0.86-0.89; P < 0.001; academic education HR = 0.70; 95% CI: 0.67-0.72; P < 0.001. Subpopulation analyses confirmed a significant reduction in relative risk with higher education level. Targeted screening and education programs could be effective in reducing mortality in AF patients with fewer years of formal education.
社会经济地位与心血管发病率和死亡率的相关性是众所周知的,但关于教育水平对心房颤动(AF)患者死亡率影响的数据却很少。我们研究了教育水平作为 AF 患者全因死亡率的预测因素。这项回顾性队列研究使用了一个由几个瑞典全国性登记处创建的数据库,以确定在 1995 年至 2008 年期间因诊断为 AF 住院的所有患者。教育水平分为初级、中级和高等。全因死亡率风险在 Charlson 合并症指数和几种合并症定义的亚人群中进行了估计。共纳入 272182 例患者(56%为男性;平均年龄 72±10 岁),随访 5 年。Cox 回归模型显示,教育水平的提高降低了全因死亡率风险。相对于初级教育,在分层和调整了几种混杂因素后,风险比(HR)仍然显著:中等教育 HR=0.88;95%CI:0.86-0.89;P<0.001;高等教育 HR=0.70;95%CI:0.67-0.72;P<0.001。亚人群分析证实,教育水平较高可显著降低相对风险。有针对性的筛查和教育计划可能对降低受教育年限较少的 AF 患者的死亡率有效。