ABSTRACT
BACKGROUND: International guidelines emphasize the importance of preventive efforts after early-onset myocardial infarction (EOMI); however, data on "real-world" long-term risk factor management and adverse event rates in this special patient group is scarce. METHODS: In this German registry study, 301 patients with MI aged ≤ 45 years were investigated. Risk factor control was assessed at the time of index MI and after 1 year. Major adverse cardiac and cerebrovascular events (MACCE) and its predictors were analyzed during long-term follow-up (median duration 49 months). RESULTS: A majority of patients with EOMI presented with insufficient risk factor control, even during 1-year follow-up. After 1-year 42% of patients were persistent smokers; 74% were physically inactive. The rate of obesity increased significantly from index MI (41%) to 1-year follow-up (46%, p = 0.03) as well as the rate of dysglycemia (index MI: 40%; 1-year follow-up: 51%, p < 0.01) and diabetes mellitus (index MI: 20%; 1-year follow-up: 24%, p < 0.01). 66% of the patients with diabetes mellitus had unsatisfactory HbA1c after 1 year; 69% of the patients did not attain guideline-recommended lipid targets. The rate of MACCE during long-term follow-up was 20% (incidence rate 0.05 per person-year). In a multivariable analysis smoking (HR 2.2, HR 1.3-3.7, p < 0.01) and physical inactivity (HR 2.8, HR 1.2-6.7, p = 0.02) were significant predictors for the occurrence of MACCE. CONCLUSION: Insufficient long-term risk factor control was common in patients with EOMI and was associated with an elevated rate of MACCE. The study reveals that better strategies for prevention in young patients are crucially needed.
ABSTRACT
AIMS: Educational attainment might impact secondary prevention after myocardial infarction (MI). The purpose of the present study was to compare the rate of risk factors and the efficacy of an intensive prevention program (IPP), performed by prevention assistants and supervised by physicians, in patients with MI and different levels of education. METHODS: In this post hoc analysis of the multicenter IPP and NET-IPP trials, patients with MI were stratified into two groups according to educational attainment: no "Abitur" (no A) vs. "Abitur" or university degree (AUD). The groups were compared at the time of index MI and after 12-month IPP vs. usual care. RESULTS: Out of n = 462 patients with MI, 76.0% had no A and 24.0% had AUD. At the time of index, MI rates of obesity (OR 2.4; 95%CI 1.4-4.0), smoking (OR 2.2, 95%CI 1.4-3.6), and physical inactivity (OR 1.6; 95%CI 1.0-2.5) were significantly elevated in patients with no A. At 12 months after index MI, larger improvements of the risk factors smoking and physical inactivity were observed in patients with IPP and no A than in patients with IPP and AUD or with usual care. LDL cholesterol levels were reduced by IPP compared to usual care, with no difference between no A vs. AUD. A matched-pair analysis revealed that high baseline risk was an important reason for the large risk factor reductions in patients with IPP and no A. CONCLUSION: The study demonstrates that patients with MI and lower educational level have an increased rate of lifestyle-related risk factors and a 12-month IPP, which is primarily performed by non-physician prevention assistants, is effective to improve prevention in this high-risk cohort.
ABSTRACT
AIMS: Family history is a known risk factor for early-onset myocardial infarction (EOMI). However, the role of modifiable lifestyle and metabolic factors in EOMI risk is unclear and may differ from that of older adults. METHODS: This case-control study included myocardial infarction (MI) patients aged ≤45 years from the Bremen ST-elevation MI Registry and matched controls randomly selected from the general population (German National Cohort) at the same geographical region. Multiple logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the individual and combined associations of lifestyle and metabolic factors with EOMI risk, overall and according to family history for premature MI. RESULTS: A total of 522 cases and 1191 controls were included. Hypertension, current smoking, elevated waist-to-hip ratio, and diabetes mellitus were strongly associated with the occurrence of EOMI. By contrast, higher frequency of alcohol consumption was associated with decreased EOMI risk. In a combined analysis of the risk factors hypertension, current smoking, body mass index ≥25.0â kg/sqm, and diabetes mellitus, participants having one (OR = 5.4, 95%CI = 2.9-10.1) and two or more risk factors (OR = 42.3, 95%CI = 22.3-80.4) had substantially higher odds of EOMI compared to those with none of these risk factors, regardless of their family history. CONCLUSION: This study demonstrates a strong association of smoking and metabolic risk factors with the occurrence of EOMI. The data suggest that the risk of EOMI goes beyond family history and underlines the importance of primary prevention efforts to reduce smoking and metabolic syndrome in young persons.
