Bae Eun Hui, Lim Sang Yup, Yang Eun Mi, Oh Tae Ryom, Choi Hong Sang, Kim Chang Seong, Ma Seong Kwon, Kim Bongseong, Han Kyung-Do, Kim Soo Wan
Department of Internal Medicine, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea.
Department of Internal Medicine, Korea University Ansan Hospital, Ansan, Republic of Korea.
Kidney Res Clin Pract. 2023 Mar;42(2):229-242. doi: 10.23876/j.krcp.21.249. Epub 2023 Mar 31.
Although multiple factors influence the risk of major adverse cardiovascular events (MACE), the effects of socioeconomic status on MACE in the presence and absence of renal dysfunction (RD) have not been comprehensively explored in Korea.
We examined the effects of socioeconomic status on MACE in individuals with and without RD. The data of 44,473 Koreans from 2008 to 2017 were obtained from the Health Care Big Data Platform of the Ministry of Health and Welfare in Korea. Their socioeconomic status was assessed using a socioeconomic score (SES) based on marital status, education, household income, and occupation. The incidence of myocardial infarction (MI), stroke, and death was compared according to SES level (0-4). Multiple linear regression analysis was used to evaluate the hazard ratios and 95% confidence intervals for outcomes based on participant SES.
MI risk was only affected by education level. The participants' income, education, and SES affected their stroke risk, whereas death was associated with all four socioeconomic factors. The incidence of stroke and death increased as SES worsened (from 0 to 4). SES was positively related to risk of stroke and death in participants without RD. SES did not affect MI, stroke, or death in participants with RD.
A low socioeconomic status is associated with risk of stroke and death, especially in individuals without RD.
尽管多种因素影响主要不良心血管事件(MACE)的风险,但在韩国,社会经济地位在存在和不存在肾功能不全(RD)情况下对MACE的影响尚未得到全面探讨。
我们研究了社会经济地位对有和没有RD的个体发生MACE的影响。2008年至2017年44473名韩国人的数据来自韩国卫生和福利部的医疗大数据平台。他们的社会经济地位使用基于婚姻状况、教育程度、家庭收入和职业的社会经济评分(SES)进行评估。根据SES水平(0 - 4)比较心肌梗死(MI)、中风和死亡的发生率。使用多元线性回归分析评估基于参与者SES的结局的风险比和95%置信区间。
MI风险仅受教育程度影响。参与者的收入、教育程度和SES影响他们的中风风险,而死亡与所有四个社会经济因素相关。随着SES变差(从0到4),中风和死亡的发生率增加。在没有RD的参与者中,SES与中风和死亡风险呈正相关。SES对有RD的参与者的MI、中风或死亡没有影响。
社会经济地位低与中风和死亡风险相关,尤其是在没有RD的个体中。