Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Section on Cardiovascular Medicine, Department of Medicine, Epidemiological Cardiology Research Center (EPICARE), Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Clin Cardiol. 2024 Oct;47(10):e70036. doi: 10.1002/clc.70036.
Both low family income and subclinical myocardial injury (SCMI) are risk factors for cardiovascular disease (CVD) mortality. However, the impact of their joint association on CVD mortality is unclear.
This analysis from the third National Health and Nutrition Examination Survey included 6805 participants (age 59.1 ± 13.4 years, 52.3% women, and 49.8% White) free of CVD at baseline. Family income was assessed using the poverty-income ratio (PIR) and categorized into low (PIR < 1), middle (PIR = 1-4), and high (PIR > 4) income. A validated ECG-based cardiac infarction injury score (CIIS) ≥ 10 was considered positive for SCMI. CVD mortality was determined using the National Death Index. Cox-proportional hazard analysis was used to evaluate the associations of family income and SCMI, separately and jointly, with CVD mortality.
A total of 1782 (26.2%) participants had SCMI at baseline. During a median follow-up of 18.2 years, 856 (12.6%) events of CVD mortality occurred. In separate multivariable Cox models, SCMI (vs. no SCMI) and middle- and low-income (vs. high-income) were each associated with a higher risk of CVD mortality (HR [95% CI]: 1.34 [1.16-1.54], 1.44 [1.16-1.78], and 1.59 [1.22-2.07], respectively). Compared to high-income participants without SCMI, those with low-income and SCMI had an increased risk of CVD mortality (HR [95% CI]: 2.17 [1.53-3.08]). The multiplicative interaction between PIR and SCMI was not significant (p = 0.054).
Lower family income and SCMI are associated with CVD mortality, and their concomitant presence is associated with the highest risk. Family income and SCMI may help in the individualized assessment of CVD risk.
家庭收入低和亚临床心肌损伤(SCMI)都是心血管疾病(CVD)死亡的危险因素。然而,它们联合作用对 CVD 死亡的影响尚不清楚。
这项来自第三次全国健康和营养检查调查的分析包括 6805 名参与者(年龄 59.1±13.4 岁,52.3%为女性,49.8%为白人),基线时无 CVD。家庭收入使用贫困收入比(PIR)评估,并分为低收入(PIR<1)、中等收入(PIR=1-4)和高收入(PIR>4)。采用经过验证的基于心电图的心肌梗死损伤评分(CIIS)≥10 为 SCMI 阳性。使用国家死亡指数确定 CVD 死亡率。Cox 比例风险分析用于评估家庭收入和 SCMI 分别和共同与 CVD 死亡率的关联。
共有 1782 名(26.2%)参与者在基线时存在 SCMI。在中位随访 18.2 年后,发生了 856 例(12.6%)CVD 死亡事件。在单独的多变量 Cox 模型中,SCMI(与无 SCMI 相比)和中低收入(与高收入相比)与 CVD 死亡率的风险增加相关(HR [95%CI]:1.34 [1.16-1.54]、1.44 [1.16-1.78]和 1.59 [1.22-2.07])。与无 SCMI 的高收入参与者相比,低收入和 SCMI 患者发生 CVD 死亡的风险增加(HR [95%CI]:2.17 [1.53-3.08])。PIR 和 SCMI 之间的乘法交互作用不显著(p=0.054)。
家庭收入较低和 SCMI 与 CVD 死亡率相关,同时存在时与最高风险相关。家庭收入和 SCMI 可能有助于对 CVD 风险进行个体化评估。