P3746Temporal patterns of premature atrial contractions predict atrial fibrillation occurrence in bradycardia patients continuously monitored through pacemaker diagnostics

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
G Boriani ◽  
G L Botto ◽  
P Pieragnoli ◽  
R P Ricci ◽  
M Biffi ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Continuous Monitoring ◽  
Cox Model ◽  
National Registry ◽  
Relative Increase ◽  
Adverse Outcomes ◽  
Temporal Occurrence ◽  
Observation Period ◽  
Atrial Rhythm

Abstract Background The frequency of premature atrial complexes (PACs) has been indirectly related with atrial fibrillation (AF) occurrence and adverse outcomes. Objective To evaluate whether temporal patterns of PACs are directly associated with AF onset in pacemaker patients with continuous monitoring of the atrial rhythm. Methods Overall, 193 pacemaker patients (49% female, 72±9 years old), enrolled in a national registry, were analyzed. Frequency of daily PACs was measured in a 14-day initial observation period, during which patients were in sinus rhythm. In the following period, temporal occurrence and frequency of daily PACs and eventual onset of AF were derived by pacemaker diagnostics. Results In the run-in period, median PACs frequency was 614 PACs/day (interquartile range=70–3056). Subsequently, in a median follow-up of 6 months, AF occurred in 109 patients, in particular in 37/96 (38.5%) patients with a PAC rate<614 PACs/day and in 72/97 (74.2%) patients with PAC rate≥614 PACs/day (p<0.001). In patients with AF occurrence, the number of daily PACs, normalized by dividing for the average of PACs in 10 preceding days, progressively increased in the 5–6 days preceding AF (Figure). Cox Model predictive analysis showed that the risk of AF was significantly higher in patients with a relative increase of the daily PACs higher than 30% compared with PACs average number in 10 preceding days (hazard ratio (95% confidence interval) = 3.67 (2.40–5.59), p<0.001). PACs changes daily trend before AF Conclusion PACs frequency increases in the 5–6 days preceding AF onset. A relative increase of the daily PACs is significantly associated with the risk of AF occurrence.

scholarly journals Adverse outcomes after worsening renal function in patients with atrial fibrillation: the Fushimi AF Registry

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
H Ogawa ◽  
Y An ◽  
S Ikeda ◽  
Y Aono ◽  
K Doi ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Renal Function ◽  
Oral Anticoagulants ◽  
Adverse Outcomes ◽  
Funding Source ◽  
Worsening Renal Function ◽  
Gault Formula ◽  
Bayer Healthcare ◽  
Artery Disease

Abstract Background Patients with atrial fibrillation (AF) commonly coexist with chronic kidney disease (CKD). Non-vitamin K antagonist oral anticoagulants (NOAC) are recommended for stroke prevention in patients with non-valvular atrial fibrillation (AF), and worsening renal function (WRF) as well as CKD is an important issue in using NOAC. However, little is known about the clinical outcomes of patients after WRF. Purpose We aimed to investigate outcomes after WRF in AF patients. Methods The Fushimi AF Registry is a community-based prospective survey of the AF patients in our city. Follow-up data including prescription status were available for 4,441 patients. Of them, 1,890 patients who have baseline and at least 1 follow-up creatinine clearance (CrCl) measurements, estimated by the Cockcroft-Gault formula, were analyzed in the present study. WRF was defined as a decrease of ≥20% from baseline CrCl measurement at any time point during follow-up. We evaluated demographics and outcomes after WRF in AF patients. Results During the median follow-up period of 2,194 days, mean CrCl decrease of 2.2 ml/min/year was observed and WRF occurred in 981 patients (51.9%). Patients with WRF were significantly more often female (with vs. without WRF; 40.3% vs. 35.4%; p=0.03), older (73.4 vs. 71.1 years of age; p&lt;0.01), more often paroxysmal type (49.9% vs. 47.1%; p&lt;0.01), and more likely to have prior stroke (17.9% vs. 12.7%; p&lt;0.01), heart failure (30.8% vs. 24.8%; p&lt;0.01), diabetes (31.7% vs. 27.1%; p=0.03), and coronary artery disease (19.9% vs. 12.1%; p&lt;0.01) than those without WRF. Co-existing of CKD and mean CrCl at baseline were comparable (37.4% vs. 36.9%; p=0.82, 65.3 vs. 63.5 ml/min; p=0.66, respectively). Mean CHA2DS2-VASc score was significantly higher in WRF patients (3.55 vs. 3.03; p&lt;0.01). On landmark analysis, all-cause mortality occurred in 135 patients (8.6 /100 person-years) after WRF and 82 patients (1.7 /100 person-years) without WRF, with an adjusted hazard ratio (HR) of 6.33 (95% confidence interval [CI], 4.33–9.50; p&lt;0.01), adjusted by sex, age, body weight, serum creatinine, type of AF, oral anticoagulant prescription and comorbidities. Stroke or systemic embolism occurred in 45 patients after WRF (3.0 /100 person-years) and 78 (1.7 /100 person-years) patients without WRF (adjusted HR 1.60 [95% CI, 1.04–2.49; p=0.03]) (Figure). Conclusions AF patients after WRF had higher incidence of various adverse events. Incidence of Adverse Outcomes Funding Acknowledgement Type of funding source: Other. Main funding source(s): The Practical Research Project for Life-Style related Diseases including Cardiovascular Diseases and Diabetes Mellitus from Japan Agency for Medical Research and Development. Boehringer Ingelheim, Bayer Healthcare, Pfizer, Bristol-Myers Squibb, Astellas Pharma, AstraZeneca, Daiichi-Sankyo, Novartis Pharma, MSD, Sanofi-Aventis, and Takeda Pharmaceutical.

Abstract P208: Functional Status, Rehospitalization, and Mortality Outcomes Among Acute Myocardial Infarction Patients with Prior and New-Onset Atrial Fibrillation

2011 ◽  
Vol 4 (suppl_2) ◽  
Author(s):  
Kyle P Hornsby ◽  
Kensey Gosch ◽  
Amy L Miller ◽  
Jonathan P Piccini ◽  
Renato D Lopes ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Atrial Fibrillation ◽  
Acute Myocardial Infarction ◽  
Health Status ◽  
Functional Status ◽  
Physical Function ◽  
Adverse Outcomes ◽  
Increased Risk ◽  
New Onset

Background: Little data are available regarding differences in prognosis and health status between new-onset and prior atrial fibrillation (AF) among patients with acute myocardial infarction (AMI). Methods: The TRIUMPH study enrolled 4340 AMI patients who received longitudinal follow-up including SF-12 health status assessments through 1 year post-AMI. We compared 1-year mortality, rehospitalization, and functional status according to AF type (none, prior, new) after adjusting for differences in baseline characteristics. Results: A total of 212 AMI patients (4.9%) had prior AF and 254 (5.9%) had new-onset AF. Compared with no AF, new AF was associated with older age, male sex, first MI, worse baseline physical function, home atrioventricular nodal blocker use, and worse ventricular function (c-index 0.77). Rates of 1-year mortality were 6.2%, 14.5%, and 13.0%, and 1-year rehospitalization rates were 29.1%, 44.2%, and 36.8% for no, prior, and new AF, respectively. After multivariable adjustment, neither prior nor new AF was associated with increased 1-year mortality, and only prior AF was associated with increased risk of 1-year rehospitalization (Figure). After adjusting for baseline SF-12 physical function scores, patients with prior AF had lower 1-year scores than those with no AF (40.6 vs. 43.7, p <0.003), whereas patients with new AF had similar scores (42.9 vs. 43.7, p=0.36). Conclusion: New-onset AF during AMI is associated with a number of comorbidities but, unlike prior AF, is not associated with adverse outcomes. These results raise the question of whether AF is itself a cause of or simply a marker of comorbidities leading to downstream adverse outcomes after AMI.

scholarly journals Incidence and Predictors of Hospitalization in Patients with Atrial Fibrillation: Results from the Chinese Atrial Fibrillation Registry Study

2020 ◽  
Author(s):  
Zhaojie Dong ◽  
Xin Du ◽  
Shangxin Lu ◽  
Chao Jiang ◽  
Shijun Xia ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Cardiovascular Diseases ◽  
Proportional Hazards Model ◽  
Cox Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Chronic Obstructive ◽  
Unique Identifier ◽  
Clinical Trial Registration

Abstract Background: Patients with atrial fibrillation (AF) underwent a high risk of hospitalization, which, however, has not been paid much attention in clinic. Therefore, we aimed to assess the incidence, causes and predictors of hospitalization in AF patients.Methods: From August 2011 to December 2017, 20,172 AF patients from the Chinese Atrial Fibrillation Registry (China-AF) Study were enrolled in this study. We described the incidence, causes of hospitalization according to age and gender categories. The Cox proportional hazards model was employed to identify predictors of first all-cause and first cause-specific hospitalization. Results: After a mean follow-up of 37.3 ± 20.4 months, 7,512 (37.2%) AF patients experienced one or more hospitalizations. The overall incidence of all-cause hospitalization was 24.0 per 100 patient-years. Patients aged < 65 years were predominantly hospitalized for AF (42.1% of the total frequency of hospitalizations); while patients aged 65-74 and ≥ 75 years were mainly hospitalized for non-cardiovascular diseases (43.6% and 49.3%, respectively). Multivariate Cox model analysis verified the higher risk of hospitalization in patients complicated with heart failure (HF)[hazard ratio (HR) 1.15, 95% confidence interval (CI) 1.08-1.24], established coronary artery disease (CAD) (HR 1.26, 95%CI 1.19-1.34), ischemic stroke/transient ischemic attack (TIA) (HR 1.26, 95%CI 1.18-1.33), diabetes (HR 1.16, 95%CI 1.10-1.22), chronic obstructive pulmonary disease (COPD) (HR 1.41, 95%CI 1.13-1.76), gastrointestinal disorder (HR 1.39, 95%CI 1.23-1.58), and renal dysfunction (HR 1.31, 95%CI 1.16-1.48). Conclusions: More than one-third of AF patients included in this study were hospitalized at least once during almost 3 years of follow-up. The main cause for hospitalization among elderly patients (≥65 years) is non-cardiovascular diseases rather than AF. Multidisciplinary management of comorbidities should be advocated as strategies to reduce hospitalization in AF patients.Clinical Trial Registration: URL: http://www.chictr.org.cn/showproj.aspx?proj=5831. Unique identifier: ChiCTR-OCH-13003729.

Abstract 14499: Impact of Pre-existing and New Incident Atrial Fibrillation on Outcomes of Patients With Acute Pulmonary Embolism: Findings From an International Registry

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Behnood Bikdeli ◽  
David Jimenez ◽  
Jorg Del Toro ◽  
Gregory Piazza ◽  
Augussina Rivas ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Pulmonary Embolism ◽  
Ischemic Stroke ◽  
Acute Pulmonary Embolism ◽  
Adverse Outcomes ◽  
Risk Of Mortality ◽  
Patient Groups ◽  
The Impact ◽  
Related Mortality

Background: Atrial fibrillation (AF) may occur prior to or early in the course of acute pulmonary embolism (PE). The impact of AF on outcomes of patients with PE remains uncertain. Methods: Using the data from a large prospective multicenter registry of patients with objectively-confirmed PE (04/2014 to 01/2020), we identified three patient groups: 1) those with pre-existing AF 2) patients with newly identified AF within 2 days from the index PE (incident AF) and 3) patients without AF. We assessed the 90-day and 1-year risk of mortality and stroke in patients with AF, in unadjusted and multivariable adjusted models considering those without AF as referent. Results: Among 16,497 patients with PE, 792 had pre-existing AF. Compared with those without AF, patients with pre-existing AF, had increased odds of 90-day all-cause (Odds ratio [OR]: 2.81 (95% confidence interval [CI]: 2.33-3.38) and PE-related mortality (OR: 2.38, 95% CI: 1.37-4.14). After multivariable adjustment, pre-existing AF significantly increased the odds of all-cause mortality (OR: 1.91, 95% CI: 1.57-2.32) but not PE-related mortality (OR: 1.50; 95% CI: 0.85-2.66). Pre-existing AF was associated with increased hazard for ischemic stroke at 1-year follow-up (hazard ratio [HR]: 5.48; 95% CI: 3.10-9.69). Among 16,497 patients with PE, 445 developed incident AF within 2 days of acute PE. Incident AF was associated with increased odds of 90-day all-cause (OR: 2.28; 95% CI: 1.75-2.97) and PE-related (OR: 3.64; 95% CI: 2.01-6.59) mortality. Findings were similar in multivariable analyses and at 1-year follow-up (Figure). No patients with incident AF developed ischemic stroke. Conclusion: In patients with acute symptomatic PE, both pre-existing AF and incident AF predict an adverse clinical course, although the type of adverse outcomes may be different depending on the timing of AF onset.

P2524Extent and outcomes of frailty in older people with atrial fibrillation: a nationwide study using primary care data

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
C Wilkinson ◽  
O Todd ◽  
M Yadegarfar ◽  
A Clegg ◽  
C P Gale ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Primary Care ◽  
Older People ◽  
Proportional Hazards ◽  
Frailty Index ◽  
Community Setting ◽  
Cox Proportional Hazards ◽  
Adverse Outcomes ◽  
All Cause Mortality

Abstract Background The prevalence of atrial fibrillation (AF) in older people is increasing, as is frailty. Frailty describes an increased vulnerability to adverse outcomes, whereby the balance of risk and benefit associated with an intervention may be more nuanced. However, there are limited data from a community setting on the prevalence of AF and frailty in older people. It is important to understand the burden of AF and frailty, and the associated impact on mortality and stroke disease in order to inform shared decision making with patients, and also inform guidelines for this increasing group of older people. Purpose To estimate the prevalence of AF and the burden of frailty in patients with AF, in a large primary care dataset. To report stroke and mortality by frailty group. Methods We used electronic health records of 537,051 patients in England aged 65 years or older on 31/12/2015, with follow-up for all-cause mortality and ischaemic or unclassified stroke to 11/04/2017. Patients with a history of AF were identified using Clinical Terms Version 3 (CTV-3) codes. Frailty was identified up to the point of study entry using the electronic frailty index (eFI, the proportion of deficits out of 36 possible deficits), and categorised into robust (0–0.12), mild (>0.12–0.24), moderate (>0.24–0.36) or severe (>0.36) frailty. Median CHA2DS2-VASc and ATRIA scores for patients with frailty were compared with the robust group using Mann-Whitney. The association between frailty status, all-cause mortality and stroke was calculated using Cox proportional hazards models, adjusted for age and sex. Results Of the cohort, 61,177 patients (11.4%) had AF. Of those with AF, 27,987 (45.8%) were female, and 54,734 (89.5%) had frailty. 6,443 (10.5%) were classified as robust; 20,352 (33.3%) mildly frail; 20,315 (33.2%) moderately frail; and 14,067 (23.0%) severely frail. The median number of eFI-defined deficits among patients with AF was 9 (interquartile range [IQR] 6–12). Median stroke and bleeding scores were higher in those with frailty compared with the robust group (CHA2DS2-VASc 4 [IQR 3–5] v 2 [2–3], p≤0.001; ATRIA 4 [2–6] v 1 [0–2], p≤0.001). During 73,338 patient-years of follow-up, there were 6,805 (11.1%) deaths and 945 (1.54%) strokes. Compared with the robust group, all-cause mortality and stroke were higher with increasing frailty. Mortality: mild frailty hazard ratio 1.53 (95% confidence interval 1.29–1.80); moderate frailty 2.50 (2.13–2.94); severe frailty 4.26 (3.63–5.01). Stroke: mild frailty 1.36 (0.99–1.85); moderate frailty 1.67 (1.23–2.28); severe 1.99 (1.45–2.73). Kaplan-Meier survival curves by frailty Conclusion The prevalence of AF among those aged over 65 years in primary care in England is high, the majority of whom are frail. Increasing severity of frailty was associated with higher mortality and stroke rates. The extent to which the judicious use of oral anticoagulation may improve clinical outcomes for patients with AF and frailty is currently unknown. Acknowledgement/Funding CPG: Bayer, BMS, AstraZeneca, Novartis Vifor Pharma, Menerini

scholarly journals Low Body Weight Increases the Risk of Ischemic Stroke and Major Bleeding in Atrial Fibrillation: The COOL-AF Registry

2020 ◽  
Vol 9 (9) ◽  
pp. 2713
Author(s):  
Rungroj Krittayaphong ◽  
Ply Chichareon ◽  
Chulalak Komoltri ◽  
Sakaorat Kornbongkotmas ◽  
Ahthit Yindeengam ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Body Weight ◽  
Ischemic Stroke ◽  
Major Bleeding ◽  
Demographic Data ◽  
Adverse Outcomes ◽  
Multicenter Cohort Study ◽  
Clinical Events ◽  
Increased Risk

We aimed to determine if low body weight (LBW) status (<50 kg) is independently associated with increased risk of ischemic stroke and bleeding in Thai patients with non-valvular atrial fibrillation (NVAF). (1) Background: It has been unclear whether LBW influence clinical outcome of patients with NVAF. (2) Methods: This prospective multicenter cohort study included patients enrolled in the COOL-AF Registry. The following data were collected: demographic data, medical history, risk factors and comorbid conditions, laboratory and investigation data, and medications. Follow-up data were collected every 6 months. Clinical events during follow-up were confirmed by the adjudication committee. (3) Results: A total of 3367 patients were enrolled. The mean age was 67.2 ± 11.2 years. LBW was present in 338 patients (11.3%). Anticoagulant and antiplatelet was prescribed in 75.3% and 26.2% of patients, respectively. Ischemic stroke, major bleeding, intracerebral hemorrhage (ICH), and death occurred during follow-up in 2.9%, 4.4%, 1.4%, and 7.7% of patients, respectively, during 25.7 months follow-up. LBW was an independent predictor of ischemic stroke, major bleeding, ICH, and death, with a hazard ratio of 2.40, 1.79, 2.37, and 2.65, respectively. (4) Conclusions: LBW was independently associated with increased risk of adverse outcomes in Thai patients with NVAF. This should be carefully considered when balancing the risks and benefits of stroke prevention among patients with different body weights.

Does atrial fibrillation burden measured by continuous monitoring during the blanking period predict the response to ablation at 12-month follow-up?

Heart Rhythm ◽  
2012 ◽  
Vol 9 (9) ◽  
pp. 1375-1379 ◽  
Author(s):  
Evgeny Pokushalov ◽  
Alexander Romanov ◽  
Giorgio Corbucci ◽  
Sevda Bairamova ◽  
Denis Losik ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Continuous Monitoring ◽  
Atrial Fibrillation Burden

scholarly journals Renal function and outcomes in atrial fibrillation patients after catheter ablation

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0241449
Author(s):  
Tetsuma Kawaji ◽  
Satoshi Shizuta ◽  
Takanori Aizawa ◽  
Shintaro Yamagami ◽  
Yasuaki Takeji ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Renal Function ◽  
Catheter Ablation ◽  
Clinical Outcomes ◽  
Cox Model ◽  
Strong Predictor ◽  
Multivariable Analysis ◽  
Heart Failure Hospitalization

Background Atrial fibrillation (AF) and renal failure coexist and interact. However, scarce data about association between renal function and clinical outcomes in patients undergoing catheter ablation for AF are available. We sought to evaluate long-term renal function and clinical outcomes after AF ablation. Methods We enrolled 791 non-dialysis patients undergoing catheter ablation for AF, and evaluated the incidence of worsening renal function (WRF) after the procedure, defined as >30% decline in estimate glomerular filtration rate. Results Mean follow-up duration was 5.1±2.5 years. Five hundreds and twenty-six patients (66.5%) were free from recurrent atrial arrhythmias without any antiarrhythmic drugs at the time of final follow-up. Cumulative incidence of WRF was 13.2% at 5-year after procedure, which was significantly higher in patients with recurrent AF compared to those without (21.6% versus 8.7%, P<0.001). In the multivariable analysis, recurrent AF was an independent risk factor for WRF (adjusted hazard ratio [HR] 1.89, 95% confidence interval 1.27–2.81, P = 0.002), along with congestive heart failure, diabetes, and eGFR <60 ml/min/1.73m2 at baseline. Patients with WRF had significantly higher 5-year incidences of all-cause death, cardiovascular death, heart failure hospitalization, ischemic stroke, and major bleeding compared to those without WRF. After adjustment of baseline differences in the multivariate Cox model, the excessive risks of WRF for all-cause death and heart failure hospitalization remained significant (adjusted HR 3.46, P = 0.002; adjusted HR 3.67, P<0.001). Conclusions In AF patients undergoing catheter ablation for AF, arrhythmia recurrence was associated with WRF during follow-up, which was a strong predictor of adverse clinical outcomes.

scholarly journals Pulmonary Vein Enlargement as an Independent Predictor for New-Onset Atrial Fibrillation

2020 ◽  
Vol 9 (2) ◽  
pp. 401
Author(s):  
Sunwon Kim ◽  
Yong-Hyun Kim ◽  
Seung-Hwa Lee ◽  
Jin-Seok Kim
Keyword(s):  
Atrial Fibrillation ◽  
Pulmonary Vein ◽  
Cox Model ◽  
Three Dimensional ◽  
Left Ventricular ◽  
Aged Subjects ◽  
Onset Atrial Fibrillation ◽  
Ventricular Dimension ◽  
New Onset

Pulmonary vein (PV) enlargement is associated with atrial fibrillation (AF). However, the predictive value of PV volume for new-onset AF has not been determined. We retrospectively assessed and enrolled non-AF subjects who underwent echocardiography and cardiac CT angiography (CCTA) around the same time and evaluated the development of AF longitudinally. PV volume was assessed by estimating the three-dimensional CCTA-derived mid-diastolic PV volume from the ostium to tertiary branches. Overall, 1105 subjects were enrolled. Among them, 29 developed AF during a mean follow-up of 4.28 ± 3.08 years after baseline CCTA and echocardiography. The AF group had a higher proportion of older aged subjects, a higher ratio of early mitral flow velocity (E) to early mitral annular tissue velocity (Em), higher Em, and larger left atrial (LAVI) and PV (PVVI) volume indices. PVVI was independently associated with male sex, left ventricular dimension, E/Em and LAVI. AF incidence increased markedly across each baseline PVVI tertile (2.2%, 5.1%, and 10.8%). In the multivariate Cox model, increased PVVI was independently associated with new-onset AF (hazard ratio (HR) = 5.401, 4.931–6.193, p = 0.007). Based on the analysis of multimodal cardiac imaging, our results provide mechanistic insights into PV remodeling and its potential role as a link between diastolic dysfunction and developing AF.

P5656Heart failure clinical phenotypes and outcomes in patients with atrial fibrillation: an analysis from the eurobservational research programme in atrial fibrillation long-term general registry

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Proietti ◽  
C Laroche ◽  
A Tello-Montoliu ◽  
R Lenarczyk ◽  
G A Dan ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Acute Coronary Syndrome ◽  
Regression Analysis ◽  
Cox Regression ◽  
Adverse Outcomes ◽  
Cox Regression Analysis ◽  
Coronary Syndrome

Abstract Introduction Heart failure (HF) is a well-known risk factor for atrial fibrillation (AF). Moreover, HF is associated with worse clinical outcomes in patients with known AF. Recently, phenotypes of HF have been redefined according to the level of ejection fraction (EF). New data are needed to understand if a differential risk for outcomes exists according to the new phenotypes' definitions. Purpose To evaluate the risk of major adverse outcomes in patients with AF and HF according to HF clinical phenotypes. Methods We performed a subgroup analysis of AF patients enrolled in the EORP-AF Long-Term General Registry with a history of HF at baseline, available EF and follow-up data. Patients were categorized as follows: i) EF<40%, i.e. HF reduced EF [HFrEF]; ii) EF 40–49%, i.e. HF mid-range EF [HFmrEF]; iii) EF ≥50%, i.e. HF preserved EF [HFpEF]. Any thromboembolic event (TE)/acute coronary syndrome (ACS)/cardiovascular (CV) death, CV death and all-cause death were recorded. Results A total of 3409 patients were included in this analysis: of these, 907 (26.6%) had HFrEF, 779 (22.9%) had HFmrEF and 1723 (50.5%) had HFpEF. An increasing proportion with CHA2DS2-VASc ≥2 was found across the three groups: 90.4% in HFrEF, 94.6% in HFmrEF and 97.3% in HFpEF (p<0.001), while lower proportions of HAS-BLED ≥3 were seen (28.0% in HFrEF, 26.3% in HFmrEF and 23.6% in HFpEF, p=0.035). At discharge patients with HFpEF were less likely treated with antiplatelet drugs (22.0%) compared to other classes and were less prescribed with vitamin K antagonists (VKA) (57.0%) and with any oral anticoagulant (OAC) (85.7%). No differences were found in terms of non-vitamin K antagonist oral anticoagulant use. At 1-year follow-up, a progressively lower rate for all study outcomes (all p<0.001), with an increasing cumulative survival, was found across the three groups, with patients with HFpEF having better survival (all p<0.0001 for Kaplan-Meier curves). After full adjustment, Cox regression analysis showed that compared to HFrEF, HFmrEF and HFpEF were associated with risk of all study outcomes (Table). Cox Regression Analysis HR (95% CI) Any TE/ACS/CV Death CV Death All-Cause Death HFmrEF 0.65 (0.49–0.86) 0.53 (0.38–0.74) 0.55 (0.41–0.74) HFpEF 0.50 (0.39–0.64) 0.42 (0.31–0.56) 0.45 (0.35–0.59) ACS = Acute Coronary Syndrome; CI = Confidence Interval; CV = Cardiovascular; EF = Ejection Fraction; HF = Heart Failure; HR = Hazard Ratio. Conclusions In this cohort of AF patients with HF, HFpEF was the most common phenotype, being associated with a profile related to an increased thromboembolic risk. Compared to HFrEF, both HFmrEF and HFpEF were associated with a lower risk of all major adverse outcomes in AF patients.

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