Reperfusion therapy for ST elevation acute myocardial infarction in Europe: description of the current situation in 30 countries

Aims Patient access to reperfusion therapy and the use of primary percutaneous coronary intervention (p-PCI) or thrombolysis (TL) varies considerably between European countries. The aim of this study was to obtain a realistic contemporary picture of how patients with ST elevation myocardial infarction (STEMI) are treated in different European countries. Methods and results The chairpersons of the national working groups/societies of interventional cardiology in European countries and selected experts known to be involved in the national registries joined the writing group upon invitation. Data were collected about the country and any existing national STEMI or PCI registries, about STEMI epidemiology, and treatment in each given country and about PCI and p-PCI centres and procedures in each country. Results from the national and/or regional registries in 30 countries were included in this analysis. The annual incidence of hospital admission for any acute myocardial infarction (AMI) varied between 90–312/100 thousand/year, the incidence of STEMI alone ranging from 44 to 142. Primary PCI was the dominant reperfusion strategy in 16 countries and TL in 8 countries. The use of a p-PCI strategy varied between 5 and 92% (of all STEMI patients) and the use of TL between 0 and 55%. Any reperfusion treatment (p-PCI or TL) was used in 37–93% of STEMI patients. Significantly less reperfusion therapy was used in those countries where TL was the dominant strategy. The number of p-PCI procedures per million per year varied among countries between 20 and 970. The mean population served by a single p-PCI centre varied between 0.3 and 7.4 million inhabitants. In those countries offering p-PCI services to the majority of their STEMI patients, this population varied between 0.3 and 1.1 million per centre. In-hospital mortality of all consecutive STEMI patients varied between 4.2 and 13.5%, for patients treated by TL between 3.5 and 14% and for patients treated by p-PCI between 2.7 and 8%. The time reported from symptom onset to the first medical contact (FMC) varied between 60 and 210 min, FMC-needle time for TL between 30 and 110 min, and FMC-balloon time for p-PCI between 60 and 177 min. Conclusion Most North, West, and Central European countries used p-PCI for the majority of their STEMI patients. The lack of organized p-PCI networks was associated with fewer patients overall receiving some form of reperfusion therapy

Psychosocial factors of coronary heart disease and quality of life among Roma coronary patients: a study matched by socioeconomic position

The aim of this study was to assess whether psychosocial factors and health-related quality of life (HRQL) differ between Roma and non-Roma coronary patients and to what degree socioeconomic status (SES) explains these differences. We included 138 patients out of 437 interviewed: 46 Roma, all with low SES, 46 non-Roma with low SES, and 46 non-Roma with high SES. Groups were matched for age, gender and education. The GHQ-28 was used for measuring psychological well-being, the Maastricht interview for vital exhaustion, the type D questionnaire and the Cook-Medley scale for personality and the SF-36 for HRQL. SES was indicated by income and education, and disease severity by ejection fraction. ANOVA and linear regression were used. Roma scored poorly compared to non-Roma in psychological well-being, vital exhaustion and HRQL (p a parts per thousand currency sign 0.001); however, these differences could be to a substantial extent explained by SES. With regard to personality traits, ethnicity and SES played a less significant role. The adverse quality of life among Roma coronary patients may warrant additional care, which should target their low SES but also other factors related to their ethnic background, such as culture and living conditions

Sense of coherence as an independent predictor of health-related quality of life among coronary heart disease patients

PURPOSE: The aim of this study was to determine whether sense of coherence (SOC) at baseline predicts health-related quality of life (HRQoL) at 12-28-month follow-up among patients with coronary heart disease when controlled for sociodemographic and medical variables. METHODS: A total of 179 consecutive patients (58.28 +/- 6.52 years, 16.8% women) scheduled for coronary angiography (CAG) were interviewed before CAG and 12-28 months after. SOC was measured with the 13-item Orientation to Life Questionnaire. HRQoL was measured using the Short Form Health Survey 36 (SF-36), from which the mental and physical component summaries (MCS, PCS) were calculated. The relationship between SOC and HRQoL was examined using regression analyses. RESULTS: SOC proved to be a significant predictor of the MCS-score (B = 0.29; 95% CI = 0.17-0.41) and PCS-score (B = 0.18; 95% CI = 0.06-0.31) when not adjusted for possible confounding sociodemographic and medical variables. After adjustment for sociodemographic and medical variables, SOC remained a predictor of the MCS-score (B = 0.26; 95% CI = 0.14-0.39). SOC also remained a predictor of the PCS-score when controlled for gender, age and family income; however, the association disappeared after adjustment for functional status (B = 0.07; 95% CI = -0.05 to 0.19). CONCLUSIONS: SOC is a predictor of mental and physical HRQoL at 12-28-month follow-up, crude and also after adjustment. Patients undergoing CAG with low SOC thus deserve particular attention in regard to the maintenance and improvement of their HRQoL

Socioeconomic differences in psychosocial factors of coronary heart disease: a review

Psychosocial factors have been shown to play an important role in the aetiology of coronary heart disease (CHD). A strong association between CHD and socioeconomic status (lower-level education, poor financial situation) has also been well established. Socioeconomic differences may thus also have an effect on psychosocial risk factors associated with CHD, and socioeconomic disadvantage may negatively affect the later prognosis and quality of life of cardiac patients. The aim of this study was to review the available evidence on socioeconomic differences in psychosocial factors which specifically contribute to CHD. A computer-aided search of the Medline and PsycINFO databases resulted in 301 articles in English published between 1994 and 2007. A comprehensive screening process identified 12 empirical studies which described the socioeconomic differences in CHD risk factors. A review of these studies showed that socioeconomic status (educational grade, occupation or income) was adversely associated with psychosocial factors linked to CHD. This association was evident in the case of hostility and depression. Available studies also showed a similar trend with respect to social support, perception of health and lack of optimism. Less consistent were the results related to anger and perceived stress levels. Socioeconomic disadvantage seems to be an important element influencing the psychosocial factors related to CHD, thus, a more comprehensive clarification of associations between these factors might be useful. More studies are needed, focused not only on well-known risk factors such as depression and hostility, but also on some lesser known psychosocial factors such as Type D and vital exhaustion and their role in CHD

Vital exhaustion in coronary heart disease: the impact of socioeconomic status

BACKGROUND: Vital exhaustion has been shown to be a significant risk factor contributing to coronary heart disease, as well as a predictor of a worse prognosis among coronary patients. Socioeconomic differences in vital exhaustion may be part of the causal mechanism in the health and mortality inequalities connected with socioeconomic disadvantage. Our aim was to explore socioeconomic inequalities in vital exhaustion among coronary patients. METHODS: We included 362 patients (32% women, mean age 56+/-7.3 years) who were referred for coronary angiography. The Maastricht interview for vital exhaustion was conducted with each patient. Level of income and education were used as indicators of socioeconomic status. Functional status was assessed with the NYHA (dyspnoe symptoms) and CCS (chest pain) scales. RESULTS: Logistic regression showed significant socioeconomic inequalities in vital exhaustion among patients. Participants with low and middle income and education had a higher probability of being exhausted in comparison with patients with high income and education [odds ratio (95% confidence interval): 13.31 (4.67-37.94) and 2.10 (1.19-3.64), respectively]. Associations remained statistically significant after controlling for the effect of functional status and seriousness of disease. Socioeconomic differences were more salient among men than among women. CONCLUSION: Low education and income seem to be strongly associated with higher vital exhaustion among patients; a significant factor contributing to worse prognosis and lower quality of life among patients with coronary heart disease

Socioeconomic inequalities in quality of life and psychological outcomes among cardiac patients

The aim of this article is to explore socioeconomic inequalities in the psychological characteristics (psychological well-being, perceived mental health status) and perceived quality of life among cardiac patients. A structured interview was conducted with 362 patients (32% women, mean age 56 +/- 7.3 years) referred for coronary angiography. The GHQ-28 was used to measure psychological well-being, the SF-36 for perceived mental health status. Income and education indicated socioeconomic position. Logistic regressions were employed, adjusted for age, gender, functional status and severity of disease. Patients with low income or education had a higher probability of having poor psychological well-being compared to participants with high income or education (OR 5.5,CI 2.32-12.80; OR 3.1,CI 1.52-6.37 resp.), and were also more likely to have worse mental health status (OR2.9,CI 1.02-8.51;OR 4.8,CI 1.36-16.99 resp.), and low quality of life (OR 2.9,CI 1.02-8.51; OR 4.8,CI 1.36-16.99 resp.). Socioeconomic status was found to be negatively associated with the psychological outcomes and quality of life among cardiac patients. Socioeconomic inequalities should be taken into account when designing suitably-adapted interventions focusing on psychosocial factors among cardiac patients