Impact of renal impairment on atrial fibrillation: ESC-EHRA EORP-AF Long-Term General Registry

Background: Atrial fibrillation (AF) and renal impairment share a bidirectional relationship with important pathophysiological interactions. We evaluated the impact of renal impairment in a contemporary cohort of patients with AF. Methods: We utilised the ESC-EHRA EORP-AF Long-Term General Registry. Outcomes were analysed according to renal function by CKD-EPI equation. The primary endpoint was a composite of thromboembolism, major bleeding, acute coronary syndrome and all-cause death. Secondary endpoints were each of these separately including ischaemic stroke, haemorrhagic event, intracranial haemorrhage, cardiovascular death and hospital admission. Results: A total of 9306 patients were included. The distribution of patients with no, mild, moderate and severe renal impairment at baseline were 16.9%, 49.3%, 30% and 3.8%, respectively. AF patients with impaired renal function were older, more likely to be females, had worse cardiac imaging parameters and multiple comorbidities. Among patients with an indication for anticoagulation, prescription of these agents was reduced in those with severe renal impairment, p <.001. Over 24 months, impaired renal function was associated with significantly greater incidence of the primary composite outcome and all secondary outcomes. Multivariable Cox regression analysis demonstrated an inverse relationship between eGFR and the primary outcome (HR 1.07 [95% CI, 1.01–1.14] per 10 ml/min/1.73 m2 decrease), that was most notable in patients with eGFR <30 ml/min/1.73 m2 (HR 2.21 [95% CI, 1.23–3.99] compared to eGFR ≥90 ml/min/1.73 m2). Conclusion: A significant proportion of patients with AF suffer from concomitant renal impairment which impacts their overall management. Furthermore, renal impairment is an independent predictor of major adverse events including thromboembolism, major bleeding, acute coronary syndrome and all-cause death in patients with AF

Clinical complexity and impact of the ABC (Atrial fibrillation Better Care) pathway in patients with atrial fibrillation: a report from the ESC-EHRA EURObservational Research Programme in AF General Long-Term Registry

Background: Clinical complexity is increasingly prevalent among patients with atrial fibrillation (AF). The ‘Atrial fibrillation Better Care’ (ABC) pathway approach has been proposed to streamline a more holistic and integrated approach to AF care; however, there are limited data on its usefulness among clinically complex patients. We aim to determine the impact of ABC pathway in a contemporary cohort of clinically complex AF patients. Methods: From the ESC-EHRA EORP-AF General Long-Term Registry, we analysed clinically complex AF patients, defined as the presence of frailty, multimorbidity and/or polypharmacy. A K-medoids cluster analysis was performed to identify different groups of clinical complexity. The impact of an ABC-adherent approach on major outcomes was analysed through Cox-regression analyses and delay of event (DoE) analyses. Results: Among 9966 AF patients included, 8289 (83.1%) were clinically complex. Adherence to the ABC pathway in the clinically complex group reduced the risk of all-cause death (adjusted HR [aHR]: 0.72, 95%CI 0.58–0.91), major adverse cardiovascular events (MACEs; aHR: 0.68, 95%CI 0.52–0.87) and composite outcome (aHR: 0.70, 95%CI: 0.58–0.85). Adherence to the ABC pathway was associated with a significant reduction in the risk of death (aHR: 0.74, 95%CI 0.56–0.98) and composite outcome (aHR: 0.76, 95%CI 0.60–0.96) also in the high-complexity cluster; similar trends were observed for MACEs. In DoE analyses, an ABC-adherent approach resulted in significant gains in event-free survival for all the outcomes investigated in clinically complex patients. Based on absolute risk reduction at 1 year of follow-up, the number needed to treat for ABC pathway adherence was 24 for all-cause death, 31 for MACEs and 20 for the composite outcome. Conclusions: An ABC-adherent approach reduces the risk of major outcomes in clinically complex AF patients. Ensuring adherence to the ABC pathway is essential to improve clinical outcomes among clinically complex AF patients

Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Research Programme in AF (EORP-AF) General Long-Term Registry

Background: Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients\u2019 clinical phenotypes and analyse the differential clinical course. Methods: We performed a hierarchical cluster analysis based on Ward\u2019s Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry. Results: A total of 9363 were available for this analysis. We identified three clusters: Cluster 1 (n = 3634; 38.8%) characterized by older patients and prevalent non-cardiac comorbidities; Cluster 2 (n = 2774; 29.6%) characterized by younger patients with low prevalence of comorbidities; Cluster 3 (n = 2955;31.6%) characterized by patients\u2019 prevalent cardiovascular risk factors/comorbidities. Over a mean follow-up of 22.5 months, Cluster 3 had the highest rate of cardiovascular events, all-cause death, and the composite outcome (combining the previous two) compared to Cluster 1 and Cluster 2 (all P <.001). An adjusted Cox regression showed that compared to Cluster 2, Cluster 3 (hazard ratio (HR) 2.87, 95% confidence interval (CI) 2.27\u20133.62; HR 3.42, 95%CI 2.72\u20134.31; HR 2.79, 95%CI 2.32\u20133.35), and Cluster 1 (HR 1.88, 95%CI 1.48\u20132.38; HR 2.50, 95%CI 1.98\u20133.15; HR 2.09, 95%CI 1.74\u20132.51) reported a higher risk for the three outcomes respectively. Conclusions: In European AF patients, three main clusters were identified, differentiated by differential presence of comorbidities. Both non-cardiac and cardiac comorbidities clusters were found to be associated with an increased risk of major adverse outcomes

Predictability of levels of physical and mental health in adults and adolescents: A 2 years longitudinal study

Background: Comparative study at two years between adults and adolescents aimed at identifying the social, family, personality traits and health locus of control factors influencing physical and mental health, consumption of medications, and frequency of medical consultations. Method: Twenty participants (10 adults and 10 adolescents) were included in a two years long longitudinal study. At baseline, participants' age, gender, family composition, net income, chronic treatments, family dynamics (Family Adaptation and Cohesion Scale), Multidimensional Health Locus of Control, and personality (NEO Personality Inventory) were recorded. Every six months their state of mental and physical health (12 Survey Factors and Hamilton Depression Scale), consumption of medications and number of medical consultations were reassessed. Results: Age has a deleterious effect not only on physical health (r=-0.628*) but also on the frequency of depressive symptoms (r=0.576*). Adults are protected against the above effect by the number of people living in the same household (r=-0.588*). The ideal family or couple is more important than the actual family or couple. The higher these ideals, the healthier the adults (r=0.738*), and the less teenagers go to the doctors (r=-0.648*). Among adults, independence from others is correlated with good mental health (r=-0.829**) and among teens, ability to manage their wishes is positively correlated with good mental health (r=0.718**). Conclusion: Although different mechanisms determine adolescents and adults' levels of health, other common mechanisms involved include age and the need for love. The older we grow, the more our health tends to deteriorate; the more we dream of love, the more it improves. The differences depend on the place that is left to others. Among teenagers, the first factor pertains to how well they manage their own desires; among adults, what matters most is independence from others. © Medicinska naklada - Zagreb, Croatia

Predictability of levels of physical and mental health: A 2 year longitudinal study

Objective: To identify the social, family, personality traits and health locus of control factors which influence physical and mental health, consumption of medications, and frequency of medical consultations. Subjects and Methods: Twenty participants were included in a two years long longitudinal study. At baseline, the participants' age, gender, family composition, net income, chronic treatments, family dynamics (Family Adaptation and Cohesion Scale), Multidimensional Health Locus of Control, and personality (NEO Personality Inventory) were recorded. Every six months their state of mental and physical health (12 Survey Factors and Hamilton Depression Scale), consumption of medications, and number of medical consultations were reassessed. Results: Regarding mental, and physical health, and scores on the Hamilton Depression Scale we can explain 50% of the variance, of which 25% accounts for age or for the number of persons living together, 15% accounts for the cohesion of the actual couple or nuclear family and 10% on account for neuroticism or on the Internal HLC. With regard to the number of medications and consultations only 30% of the variance is accounted for: 10% for gender, 10% for the cohesion of the ideal family and 10% for neuroticism or extraversion. Conclusion: These results can obviously be used in the field of secondary prevention, for example in raising GPs' awareness to the typical profile of patients who are at risk of mental or physical health problems. Ideally these results should also serve for primary prevention, but how can we influence demographic variables, family cohesion or personality? © Medicinska naklada

Clinical utility and prognostic implications of the novel 4S-AF scheme to characterize and evaluate patients with atrial fibrillation: a report from ESC-EHRA EORP-AF Long-Term General Registry

Aims: The 4S-AF classification scheme comprises of four domains: stroke risk (St), symptoms (Sy), severity of atrial fibrillation (AF) burden (Sb), and substrate (Su). We sought to examine the implementation of the 4S-AF scheme in the EORP-AF General Long-Term Registry and compare outcomes in AF patients according to the 4S-AF-led decision-making process. Methods and results: Atrial fibrillation patients from 250 centres across 27 European countries were included. A 4S-AF score was calculated as the sum of each domain with a maximum score of 9. Of 6321 patients, 8.4% had low (St), 47.5% EHRA I (Sy), 40.5% newly diagnosed or paroxysmal AF (Sb), and 5.1% no cardiovascular risk factors or left atrial enlargement (Su). Median follow-up was 24 months. Using multivariable Cox regression analysis, independent predictors of all-cause mortality were (St) [adjusted hazard ratio (aHR) 8.21, 95% confidence interval (CI): 2.60-25.9], (Sb) (aHR 1.21, 95% CI: 1.08-1.35), and (Su) (aHR 1.27, 95% CI: 1.14-1.41). For CV mortality and any thromboembolic event, only (Su) (aHR 1.73, 95% CI: 1.45-2.06) and (Sy) (aHR 1.29, 95% CI: 1.00-1.66) were statistically significant, respectively. None of the domains were independently linked to ischaemic stroke or major bleeding. Higher 4S-AF score was related to a significant increase in all-cause mortality, CV mortality, any thromboembolic event, and ischaemic stroke but not major bleeding. Treatment of all 4S-AF domains was associated with an independent decrease in all-cause mortality (aHR 0.71, 95% CI: 0.55-0.92). For each 4S-AF domain left untreated, the risk of all-cause mortality increased substantially (aHR 1.35, 95% CI: 1.16-1.56). Conclusion: Implementation of the novel 4S-AF scheme is feasible, and treatment decisions based on this scheme improve mortality rates in AF

Impact of malignancy on outcomes in European patients with atrial fibrillation: A report from the ESC-EHRA EURObservational research programme in atrial fibrillation general long-term registry

Background: The management of patients with atrial fibrillation (AF) and malignancy is challenging given the paucity of evidence supporting their appropriate clinical management. Purpose: To evaluate the outcomes of patients with active or prior malignancy in a contemporary cohort of European AF patients. Methods: Patients enrolled in the EURObservational Research Programme in AF General Long-Term Registry were categorized into 3 categories: No Malignancy (NoMal), Prior Malignancy (PriorMal) and Active Malignancy (ActiveMal). The primary outcomes were all-cause death and the composite outcome MACE. Results: A total of 10 383 patients were analysed. Of these, 9597 (92.4%) were NoMal patients, 577 (5.6%) PriorMal and 209 (2%) ActiveMal. Lack of any antithrombotic treatment was more prevalent in ActiveMal patients (12.4%) as compared to other groups (5.0% vs 6.3% for PriorMal and NoMal, p <.001). After a median follow-up of 730 days, there were 982 (9.5%) deaths and 950 (9.7%) MACE events. ActiveMal was independently associated with a higher risk for all-cause death (HR 2.90, 95% CI 2.23–3.76) and MACE (HR 1.54, 95% CI 1.03–2.31), as well as any haemorrhagic events and major bleeding (OR 2.42, 95% CI 1.49–3.91 and OR 4.18, 95% CI 2.49–7.01, respectively). Use of oral anticoagulants was not significantly associated with a higher risk for all-cause death or bleeding in ActiveMal patients. Conclusions: In a large contemporary cohort of AF patients, active malignancy was independently associated with all-cause death, MACE and haemorrhagic events. Use of anticoagulants was not associated with a higher risk of all-cause death in patients with active malignancies