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BACKGROUND: Cryoballoon ablation for treatment of atrial fibrillation (AF) reduces procedure times, but limited data is available about its impact on electrophysiology (EP) lab efficiency in Central and Eastern Europe (CEE). Using CEE-specific procedure data, the present study modeled cryoballoon ablation procedures on EP lab resource consumption to improve efficiency. METHODS: A discrete event simulation model was developed to assess EP efficiency with cryoballoon ablation. Model inputs were taken from CEE sites within the Cryo Global Registry, namely Czech Republic, Hungary, Poland, Serbia, and Slovakia. The main endpoints were percentage of days that resulted in overtime and percentage of days with time for one extra simple EP procedure. Use of the 'figure of 8' (Fo8) closure technique to reduce procedure time was also examined. RESULTS: The mean lab occupancy time across all CEE sites was 133 ± 47 minutes (min: 104 minutes, max:181 minutes). Cryoballoon ablation in the base-case scenario resulted in 14.6% of days with overtime and 64.8% of days with time for an extra simple EP procedure. Use of the Fo8 closure technique enhanced these values to 5.5% and 85.3%, respectively. Model endpoints were most sensitive to changes in lab occupancy times and overtime start time. CONCLUSIONS: In this CEE-specific analysis of EP lab efficiency it was found that 3 cryoballoon ablation procedures could be performed in 1 lab day, leaving time for a 4th simple EP procedure on most days. As such, use cryoballoon ablation for PVI is an effective way to improve EP lab efficiency.

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OBJECTIVES: The aim of this prospective cohort study was to assess the effect of Roma ethnicity and self-rated health (SRH) on 9-year all-cause mortality in patients with coronary artery disease (CAD) after coronaro-angiography (CAG), and whether SRH mediates the effect of ethnicity. METHODS: 623 patients (103 Roma) were included. We obtained data from medical records and patients interviews. A Cox regression model adjusted for age, gender and education was used to analyze the effect of Roma ethnicity on mortality, as well as potential mediation by SRH. RESULTS: Roma ethnicity and poor SRH were predictors of increased mortality in patients with CAD, with hazard rates (95 % confidence intervals) 2.34 (1.24; 4.42) and 1.81 (1.02; 3.21). Adding education decreased the size of ethnic differences in mortality. The mediating effect of SRH on the association of ethnicity with mortality was not statistically significant; neither modified ethnicity the effect of SRH. CONCLUSIONS: Poor SRH does not mediate the higher mortality among Roma patients after CAG even though it indicates an increased risk of mortality. Roma patients with CAD have to be referred for special cardiological care earlier.

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BACKGROUND: Ethnicity is associated with differences in clinical course and outcomes of cardiac disease, often in association with a poorer socioeconomic position. The aim of this study was to compare the mortality after coronary angiography (CAG) of Roma and non-Roma patients matched for education and adjusted for gender and age. METHODS: In total, 816 patients were included in the study (167 Roma and 649 non-Roma). Data on socio-demographic background, disease history, use of drugs, coronary findings and type of treatment were obtained from medical records. Mortality was assessed up to seven years after CAG. Kaplan-Meier curves of mortality were plotted, and differences between the Roma and non-Roma patients were assessed using log-rank tests, matched for education and adjusted for gender and age. RESULTS: Mortality after CAG was significantly higher among Roma than non-Roma (log-rank test χ(2) = 7.59, P < 0.01) and remained so after matching for education and adjustment for gender, age, history of previous myocardial infarction and abnormal CAG (hazard ratio: 2.07, 95% confidence interval: 1.13-3.82). CONCLUSION: Mortality after CAG is higher among Roma, and this is not due to differences in age, gender or education. These results warrant further reconsideration of the management of Roma cardiac patients.

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BACKGROUND: Cryoballoon ablation technique for the treatment of atrial fibrillation (AF) is a complex procedure consisting of several procedural steps associated with significant risk of complications. The aim of this single-centre study was to give detailed analysis of the complication rate and corresponding risk factors of pulmonary veins cryoisolation (PVI) procedures. METHODS AND RESULTS: A total of 158 consecutive patients (71.5% men, aged 57 ± 9 years, 73.3% paroxysmal atrial fibrillation) were enrolled. Out of 632 pulmonary veins, 96.7% were targeted and isolated by 2-7 applications of cryothermal energy guided with intracardiac echocardiography and fluoroscopy. The additional ablation of cavotricuspid isthmus was performed in 14.6% of procedures. In total, 29 complications were recorded in peri-procedural or early post-procedural period, 8 (5.1%) of them being evaluated as major. No case of permanent injury, disability or death was registered. Multivariate logistic regression showed the persistence of pre-ablation AF as the risk factor of major complications (OR=5.0; ± 95% CI: 1.14-21.97, P=0.033); lower body height was the significant risk factor of any complications (OR=0.95; ± 95% CI: 0.91-0.99, P=0.026) with rapid increase of complication risk with body height ≤ 162 cm. Embolic complications were significantly associated with the pre-ablation AF, while patients with low body height had a trend towards increased risk of phrenic nerve palsy. CONCLUSION: Our study confirmed that the cryoballoon pulmonary vein isolation can be safely performed with low incidence of life-threatening complications which may be further decreased if the mentioned risk factors are handled appropriately.

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OBJECTIVES: 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. METHODS: 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. RESULTS: 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.). CONCLUSIONS: 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.

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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.

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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.

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