Baseline characteristics, reperfusion treatment secondary prevention and outcome after acute ischemic stroke in three different socioeconomic environments in Europe.

INTRODUCTION: The differences in vascular risk factors' and stroke burden across Europe are notable, however there is limited understanding of the influence of socioeconomic environment on the quality of secondary prevention and outcome after acute ischemic stroke. PATIENTS AND METHODS: In this observational multicenter cohort study, we analyzed baseline characteristics, reperfusion treatment, outcome and secondary prevention in patients with acute ischemic stroke from three tertiary-care teaching hospitals with similar service population size in different socioeconomic environments: Bern/CH/n = 293 (high-income), Gdansk/PL/n = 140 (high-income), and Lutsk/UA/n = 188 (lower-middle-income). RESULTS: We analyzed 621 patients (43.2% women, median age = 71.4 years), admitted between 07 and 12/2019. Significant differences were observed in median BMI (CH = 26/PL = 27.7/UA = 27.8), stroke severity [(median NIHSS CH = 4(0-40)/PL = 11(0-33)/UA = 7(1-30)], initial neuroimaging (CT:CH = 21.6%/PL = 50.7%/UA = 71.3%), conservative treatment (CH = 34.1%/PL = 38.6%/UA = 95.2%) (each p < 0.001), in arterial hypertension (CH = 63.8%/PL = 72.6%/UA = 87.2%), atrial fibrillation (CH = 28.3%/PL = 41.4%/UA = 39.4%), hyperlipidemia (CH = 84.9%/PL = 76.4%/UA = 17%) (each p < 0.001) and active smoking (CH = 32.2%/PL = 27.3%/UA = 10.2%) (p < 0.007). Three-months favorable outcome (mRS = 0-2) was seen in CH = 63.1%/PL = 50%/UA = 59% (unadjusted-p = 0.01/adjusted-p CH-PL/CH-UA = 0.601/0.981), excellent outcome (mRS = 0-1) in CH = 48.5%/PL = 32.1%/UA = 27% (unadjusted-p < 0.001/adjusted-p CH-PL/CH-UA = 0.201/0.08 and adjusted-OR CH-UA = 2.09). Three-months mortality was similar between groups (CH = 17.2%/PL = 15.7%/UA = 4.8%) (unadjusted-p = 0.71/adjusted-p CH-PL/CH-UA = 0.087/0.24). Three-months recurrent stroke/TIA occurred in CH = 3.1%/PL = 10.7%/UA = 3.1%, adjusted-p/OR CH-PL = 0.04/0.32). Three-months follow-up medication intake rates were the same for antihypertensives. Statin/OAC intake was lowest in UA = 67.1%/25.5% (CH = 87.3%/39.2%/unadjusted-p < 0.001/adjusted-p CH-UA = 0.02/0.012/adjusted-OR CH-UA = 2.33/2.18). Oral intake of antidiabetics was lowest in CH = 10.8% (PL = 15.7%/UA = 16.1%/unadjusted-p = 0.245/adjusted-p CH-PL/CH-UA = 0.061/0.002/adjusted-OR CH-UA = 0.25). Smoking rates decreased in all groups during follow-up. DISCUSSION AND CONCLUSION: Substantial differences in presentation, treatment and secondary prevention measures, are linked to a twofold difference in adjusted 3-months excellent outcome between Switzerland and Ukraine. This underscores the importance of socioeconomic factors that influence stroke outcomes, emphasizing the necessity for targeted interventions to address disparities in treatment and secondary prevention strategies.

Long-term outcomes after acute myocardial infarction in countries with different socioeconomic environments: an international prospective cohort study.

BACKGROUND: Hospital-based data on the impact of socioeconomic environment on long-term survival after myocardial infarction (MI) are lacking. We compared outcome and quality of secondary prevention in patients after MI living in three different socioeconomic environments including patients from three tertiary-care teaching hospitals with similar service population size in Switzerland, Poland and Ukraine. METHODS: This is a prospective cohort study of patients with a first MI in three different tertiary-care teaching hospitals in Bern (Switzerland), Gdansk (Poland) and Lutsk (Ukraine) during the acute phase in the year 2010 and follow-up of these patients with a questionnaire and, if necessary, telephone interviews 3.5 years after the acute event. The study cohort comprises all consecutive patients hospitalised in every one of the three study centres during the year 2010 for a first MI in the age ≤75 years who survived ≥30 days. RESULTS: The proportion of patients with ST-segment elevation myocardial infarction (STEMI) was high in Gdansk (Poland) (80%) and in Lutsk (Ukraine) (74%), while the ratio of STEMIs to non-STEMIs was nearly 50:50 in Bern (Switzerland) (50.6% STEMIs). Percutaneous coronary intervention (PCI) was the first choice therapy both in Bern (Switzerland) (100%) and in Gdansk (Poland) (92%), while it was not performed at all in Lutsk (Ukraine). We found substantial differences in treatment and also in secondary prevention interventions including cardiac rehabilitation. All-cause mortality at 3.5 year follow-up was 4.6% in Bern (Switzerland), 8.5% in Gdansk (Poland) and 14.6% in Lutsk (Ukraine). CONCLUSION: Substantial differences in treatment and secondary prevention measures according to low-income, middle-income and high-income socioeconomic situation are associated with a threefold difference in mortality 3.5 years after the acute event. Countries with low socioeconomic environment should increase efforts and be supported to improve care including secondary prevention in particular for MI patients. A greater number of PCIs per million inhabitants itself does not guarantee lower mortality scores.

Preliminary evidence for the cross-cultural utility of the type D personality construct in the Ukraine.

BACKGROUND: Type D personality is a risk indicator in cardiac patients. The validity and reliability of the Type D Scale (DS14) have been confirmed in Western Europe but not outside this context. PURPOSE: We examined the structural, convergent, and divergent validity and the reliability of the DS14 in the Ukrainian setting. METHOD: Healthy Ukrainian respondents (n = 250) completed the DS14, the Eysenck Personality Questionnaire, the State Trait Anxiety Inventory, and the Beck Depression Inventory. A subsample (n = 57) completed the DS14 again after 4 weeks. RESULTS: The prevalence of Type D personality was 22.4%. The two-factor structure and the validity of the DS14 were confirmed. The DS14 subscales were internally consistent (Cronbach's alpha = 0.86/0.71; mean inter-item correlation = 0.48/0.27) and stable over a 4-week period (r = 0.85/0.63). Type D individuals had significantly higher mean scores on anxiety (p < 0.001), depressive symptoms (p < 0.001), and negative affect (p < 0.001), and lower scores on positive affect (p < 0.001) compared to non-Type D individuals. CONCLUSION: Preliminary evidence suggests that the Ukrainian DS14 is a valid and reliable measure. Future studies are warranted to test the utility of the scale in cardiac patients in the Ukraine, including whether Type D also predicts adverse health outcomes beyond the boundaries of Western Europe.