Long-Term Implications of Socioeconomic Status on Major Adverse Cardiovascular, Cerebrovascular Events (MACCE), and All-Cause Mortality

Background Socio-economic status (SES) has a large impact on health through a complex interplay of upstream, midstream and downstream factors. However, little is known about the predictive role of SES on longterm major adverse cardiovascular, cerebrovascular events, and mortality (MACCE). Aim To determine the long-term relationship between SES and MACCE for men and women. The secondary endpoint was to determine the relationship between SES and all-cause mortality. Method A total of 3,034 participants (1,494 women and 1,540 men) were assessed at baseline in the Geelong Osteoporosis Study, a large regional Australian population cohort study. Area-based SES was assessed, utilising the Index of Relative Socio-Economic Disadvantage (IRSD) and grouped into quintiles. The primary endpoint, MACCE, was defined fi ned as a composite of myocardial infarction, heart failure hospitalisation, malignant arrhythmias, stroke, and all-cause mortality. The secondary endpoint was all-cause mortality. Baseline data including age, sex, smoking status and alcohol use, and comorbidities were collected between 1993-1997 for women, and 2001-2006 for men, with follow-up over 30 and 22 years, respectively. Logistic regression was utilised to assess MACCE and all-cause mortality outcomes across the SES quintiles. Results Participants lost to follow-up or with incomplete data collection were excluded leaving 2,173 participants eligible for analysis. SES was associated with MACCE outcomes. Compared with Quintile I (lowest SES stratum), the odds of MACCE for each IRSD stratum were: Quintile II, odds ratio (OR) 0.85 (95% confidence fi dence interval [CI] 0.65-1.13); Quintile III, OR 0.69 (95% CI 0.51-0.91); Quintile IV, OR 0.66 (95% CI 0.50-0.88); and, Quintile V, OR 0.55 (95% CI 0.41-0.72). In the adjusted model, an inverse trend was noted, with reducing MACCE outcomes with an increasing SES status; IRSD Quintile II, OR 0.85 (95% CI 0.62-1.17); Quintile III, OR 0.70 (95% CI 0.50-0.97); Quintile IV, OR 0.73 (95% CI 0.52-1.02); and, Quintile V, OR 0.54 (95% CI 0.39-0.74). SES was inversely associated with all-cause mortality; IRSD Quintile II (OR 0.87, 95% CI 0.66-1.16) failed to achieve significance fi cance however IRSD Quintile III (OR 0.65, 95% CI 0.48-0.88), Quintile IV (OR 0.59, 95% CI 0.44-0.80) and Quintile V (OR 0.46, 95% CI 0.34-0.62) had a lower risk of mortality compared with Quintile I. In the adjusted model, an inversely proportional trend was noted between SES and all-cause mortality; IRSD Quintile II (OR 0.82, 95% CI 0.59-1.15), IRSD Quintile III (OR 0.63, 95% CI 0.49-0.95), Quintile IV (OR 0.59, 95% CI 0.45-0.90) and Quintile V (OR 0.44, 95% CI 0.31-0.61) had fewer mortality events compared with IRSD Quintile I. Conclusions Our research indicates that being part of a lower socio-economic stratum is linked to a higher likelihood of experiencing negative cardiovascular and cerebrovascular events, along with an increased risk of overall mortality. SES is an important risk stratification fi cation marker for long-term prognosis of cardiovas- cular diseases and stroke, and warrants further investigation.