Travis M. Wilson , Adithya K. Yadalam , Shaimaa Sakr , Matthew E. Gold , Vardhmaan Jain , Alexander C. Razavi , Nishant Vatsa , Daniel A. Gold , Yi-An Ko , Yunyun Chen , Chang Liu , Nisreen Haroun , Muhammad Owais , Ishan Nadkarni , Ozair Khawaja , Hassan Allaqaband , Laurence S. Sperling , ArshedA. Quyyumi
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Herein, we analyzed the association of employment status and adverse outcomes in patients with CAD.</div></div><div><h3>Methods</h3><div>Non-retired participants enrolled in the Emory Cardiovascular Biobank during the years 2003–2023 were divided into employed and non-employed cohorts and analyzed for the primary composite outcome of cardiovascular death or non-fatal myocardial infarction (MI) by competing-risk regression, while accounting for non-cardiovascular death. The secondary outcome of all-cause death was assessed by Cox regression. Sensitivity analyses were performed to explore for heterogeneity of effect.</div></div><div><h3>Results</h3><div>The study sample consisted of 2809 participants with a mean age of 57 years, 35 % women, and 27 % Black. During a median follow-up of 5.1 years, 406 (14 %) cardiovascular death or non-fatal MI events and 537 (19 %) all-cause death events occurred. After adjustment for demographics, educational attainment level (EAL), and traditional cardiovascular risk factors, non-employment was found to be a significant predictor of cardiovascular death or non-fatal MI (sHR 1.78, 95 % CI 1.41–2.19, <em>P</em> < 0.001) and all-cause death (HR 2.46, 95 % CI 2.02–2.99, <em>P</em> < 0.001), when compared to employed participants.</div></div><div><h3>Conclusions</h3><div>Non-employment is associated with adverse outcomes in non-retired individuals with CAD, independent of demographics, EAL, and traditional cardiovascular risk factors. Non-employment due to disability was associated with the highest risk of adverse cardiovascular outcomes, highlighting a particularly vulnerable subgroup.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"22 ","pages":"Article 100997"},"PeriodicalIF":4.3000,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Employment status as a predictor of adverse outcomes in patients with coronary artery disease\",\"authors\":\"Travis M. Wilson , Adithya K. Yadalam , Shaimaa Sakr , Matthew E. Gold , Vardhmaan Jain , Alexander C. Razavi , Nishant Vatsa , Daniel A. Gold , Yi-An Ko , Yunyun Chen , Chang Liu , Nisreen Haroun , Muhammad Owais , Ishan Nadkarni , Ozair Khawaja , Hassan Allaqaband , Laurence S. Sperling , ArshedA. Quyyumi\",\"doi\":\"10.1016/j.ajpc.2025.100997\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Lack of employment is associated with a poorer prognosis when compared to employment in the general population. Whether this association is present in patients with coronary artery disease (CAD) and similarly extends to adverse cardiovascular outcomes in those with CAD remains unknown. Herein, we analyzed the association of employment status and adverse outcomes in patients with CAD.</div></div><div><h3>Methods</h3><div>Non-retired participants enrolled in the Emory Cardiovascular Biobank during the years 2003–2023 were divided into employed and non-employed cohorts and analyzed for the primary composite outcome of cardiovascular death or non-fatal myocardial infarction (MI) by competing-risk regression, while accounting for non-cardiovascular death. The secondary outcome of all-cause death was assessed by Cox regression. 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引用次数: 0
摘要
背景:与一般人群的就业相比,缺乏就业与较差的预后有关。这种关联是否存在于冠状动脉疾病(CAD)患者中,并同样延伸到冠心病患者的不良心血管结局尚不清楚。在此,我们分析了CAD患者的就业状况与不良结局的关系。方法将2003-2023年间纳入Emory心血管生物库的非退休参与者分为就业和非就业队列,通过竞争风险回归分析心血管死亡或非致死性心肌梗死(MI)的主要复合结局,同时考虑非心血管死亡。采用Cox回归评估全因死亡的次要结局。进行敏感性分析以探讨效果的异质性。研究样本包括2809名参与者,平均年龄57岁,35%为女性,27%为黑人。在平均5.1年的随访期间,发生了406例(14%)心血管死亡或非致死性心肌梗死事件和537例(19%)全因死亡事件。在调整了人口统计学、教育程度(EAL)和传统心血管危险因素后,发现不就业是心血管死亡或非致死性心肌梗死的重要预测因子(sHR 1.78, 95% CI 1.41-2.19, P <;0.001)和全因死亡(HR 2.46, 95% CI 2.02-2.99, P <;0.001),与受雇参与者相比。结论非退休冠心病患者非就业与不良结局相关,与人口统计学、EAL和传统心血管危险因素无关。残疾导致的失业与心血管不良后果的最高风险相关,突出了一个特别脆弱的亚群体。
Employment status as a predictor of adverse outcomes in patients with coronary artery disease
Background
Lack of employment is associated with a poorer prognosis when compared to employment in the general population. Whether this association is present in patients with coronary artery disease (CAD) and similarly extends to adverse cardiovascular outcomes in those with CAD remains unknown. Herein, we analyzed the association of employment status and adverse outcomes in patients with CAD.
Methods
Non-retired participants enrolled in the Emory Cardiovascular Biobank during the years 2003–2023 were divided into employed and non-employed cohorts and analyzed for the primary composite outcome of cardiovascular death or non-fatal myocardial infarction (MI) by competing-risk regression, while accounting for non-cardiovascular death. The secondary outcome of all-cause death was assessed by Cox regression. Sensitivity analyses were performed to explore for heterogeneity of effect.
Results
The study sample consisted of 2809 participants with a mean age of 57 years, 35 % women, and 27 % Black. During a median follow-up of 5.1 years, 406 (14 %) cardiovascular death or non-fatal MI events and 537 (19 %) all-cause death events occurred. After adjustment for demographics, educational attainment level (EAL), and traditional cardiovascular risk factors, non-employment was found to be a significant predictor of cardiovascular death or non-fatal MI (sHR 1.78, 95 % CI 1.41–2.19, P < 0.001) and all-cause death (HR 2.46, 95 % CI 2.02–2.99, P < 0.001), when compared to employed participants.
Conclusions
Non-employment is associated with adverse outcomes in non-retired individuals with CAD, independent of demographics, EAL, and traditional cardiovascular risk factors. Non-employment due to disability was associated with the highest risk of adverse cardiovascular outcomes, highlighting a particularly vulnerable subgroup.