Stanley Steyer School of Health Professions, Sackler Medical School, Tel Aviv University, Israel.
Int J Cardiol. 2012 Jun 14;157(3):324-9. doi: 10.1016/j.ijcard.2010.12.048. Epub 2010 Dec 31.
Low socioeconomic status (SES) has been associated with increased cardiovascular risk. However, the association between SES and stroke incidence in patients with acute myocardial infarction (AMI) has not been studied. We assessed the association between a multidimensional SES construct and long-term ischemic stroke incidence after AMI in a prospective community-based cohort study.
A total of 1261 consecutive patients aged ≤ 65 years discharged after first AMI from 8 hospitals in central Israel in 1992-1993 were followed for ischemic stroke for a mean (SD) period of 11 (4) years. The number of unfavorable SES factors, including lower than average family income, ≤ 8 years of education, unemployment, and absence of a steady partner, was the primary exposure. We estimated the directly adjusted cumulative incidence of stroke treating non-stroke death as a competing event using the Fine and Gray model for a subdistribution function.
Low SES was associated with older age, female sex, higher risk factor prevalence, increased AMI severity and inferior treatment. Ischemic stroke was diagnosed in 142 patients. The adjusted cumulative incidence of ischemic stroke gradually increased with the number of unfavorable SES factors. The multivariable adjusted HRs (95% confidence intervals) for ischemic stroke were 1.5(0.9-2.4), 2.0(1.2-3.2) and 2.1(1.2-3.6) in patients with 1, 2 and ≥ 3 unfavorable SES factors respectively, compared with those with none.
Our data support a dose-response relationship between SES and stroke risk after AMI and suggest a multidimensional vulnerability related to SES. These findings should be considered in planning secondary prevention strategies post-AMI.
低社会经济地位(SES)与心血管风险增加有关。然而,SES 与急性心肌梗死(AMI)患者中风发生率之间的关系尚未研究。我们评估了多维 SES 结构与前瞻性社区为基础队列研究中 AMI 后长期缺血性中风发生率之间的关系。
1992-1993 年,以色列中部 8 家医院收治的 1261 例≤65 岁的首次 AMI 后出院的连续患者,平均(SD)随访 11(4)年,发生缺血性中风。不良 SES 因素的数量,包括低于平均家庭收入、≤8 年教育、失业和没有稳定伴侣,是主要的暴露因素。我们使用 Fine 和 Gray 模型的亚分布函数,将非中风死亡作为竞争事件,直接调整中风的累积发生率。
低 SES 与年龄较大、女性、较高的危险因素患病率、AMI 严重程度增加以及治疗效果较差有关。142 例患者诊断为缺血性中风。随着 SES 不良因素数量的增加,调整后的缺血性中风累积发生率逐渐增加。多变量调整后的 HR(95%置信区间)分别为 1.5(0.9-2.4)、2.0(1.2-3.2)和 2.1(1.2-3.6),与无不良 SES 因素的患者相比。
我们的数据支持 SES 与 AMI 后中风风险之间的剂量-反应关系,并表明 SES 与多维脆弱性有关。这些发现应在规划 AMI 后二级预防策略时加以考虑。