Clinical utility of the 4S-AF scheme in predicting progression of atrial fibrillation: data from the RACE V study.

AIMS: The recent 4S-AF (scheme proposed by the 2020 ESC AF guidelines to address stroke risk, symptom severity, severity of AF burden and substrate of AF to provide a structured phenotyping of AF patients in clinical practice to guide therapy and assess prognosis) scheme has been proposed as a structured scheme to characterize patients with atrial fibrillation (AF). We aimed to assess whether the 4S-AF scheme predicts AF progression in patients with self-terminating AF. METHODS AND RESULTS: We analysed 341 patients with self-terminating AF included in the well-phenotyped Reappraisal of Atrial Fibrillation: Interaction between HyperCoagulability, Electrical remodelling, and Vascular Destabilization in the Progression of AF (RACE V) study. Patients had continuous monitoring with implantable loop recorders or pacemakers. AF progression was defined as progression to persistent or permanent AF or progression of self-terminating AF with >3% burden increase. Progression of AF was observed in 42 patients (12.3%, 5.9% per year). Patients were given a score based on the components of the 4S-AF scheme. Mean age was 65 [interquartile range (IQR) 58-71] years, 149 (44%) were women, 103 (49%) had heart failure, 276 (81%) had hypertension, and 38 (11%) had coronary artery disease. Median CHA2DS2-VASc (the CHA2DS2-VASc score assesses thromboembolic risk. C, congestive heart failure/left ventricular dysfunction; H, hypertension; A2, age ≥ 75 years; D, diabetes mellitus; S2, stroke/transient ischaemic attack/systemic embolism; V, vascular disease; A, age 65-74 years; Sc, sex category (female sex)) score was 2 (IQR 2-3), and median follow-up was 2.1 (1.5-2.6) years. The average score of the 4S-AF scheme was 4.6 ± 1.4. The score points from the 4S-AF scheme did not predict the risk of AF progression [odds ratio (OR) 1.1 95% CI 0.88-1.41, C-statistic 0.53]. However, excluding the symptoms domain, resulting in the 3S-AF (4S-AF scheme without the domain symptom severity, only including stroke risk, severity of AF burden and substrate of AF) scheme, predicted the risk of progression (OR 1.59 95% CI 1.15-2.27, C-statistic 0.62) even after adjusting for sex and age. CONCLUSIONS: In self-terminating AF patients, the 4S-AF scheme does not predict AF progression. The 3S-AF scheme, excluding the symptom domain, may be a more appropriate score to predict AF progression. TRIAL REGISTRATION NUMBERS: Clinicaltrials.gov NCT02726698 for RACE V.

Prevalence and determinants of atrial fibrillation progression in paroxysmal atrial fibrillation.

OBJECTIVE: Atrial fibrillation (AF) often progresses from paroxysmal AF (PAF) to more permanent forms. To improve personalised medicine, we aim to develop a new AF progression risk prediction model in patients with PAF. METHODS: In this interim-analysis of the Reappraisal of AF: Interaction Between HyperCoagulability, Electrical Remodelling, and Vascular Destabilisation in the Progression of AF study, patients with PAF undergoing extensive phenotyping at baseline and continuous rhythm monitoring during follow-up of ≥1 year were analysed. AF progression was defined as (1) progression to persistent or permanent AF or (2) progression of PAF with >3% burden increase. Multivariable analysis was done to identify predictors of AF progression. RESULTS: Mean age was 65 (58-71) years, 179 (43%) were female. Follow-up was 2.2 (1.6-2.8) years, 51 of 417 patients (5.5%/year) showed AF progression. Multivariable analysis identified, PR interval, impaired left atrial function, mitral valve regurgitation and waist circumference to be associated with AF progression. Adding blood biomarkers improved the model (C-statistic from 0.709 to 0.830) and showed male sex, lower levels of factor XIIa:C1-esterase inhibitor and tissue factor pathway inhibitor, and higher levels of N-terminal pro-brain natriuretic peptide, proprotein convertase subtilisin/kexin type 9 and peptidoglycan recognition protein 1 were associated with AF progression. CONCLUSION: In patients with PAF, AF progression occurred in 5.5%/year. Predictors for progression included markers for atrial remodelling, sex, mitral valve regurgitation, waist circumference and biomarkers associated with coagulation, inflammation, cardiomyocyte stretch and atherosclerosis. These prediction models may help to determine risk of AF progression and treatment targets, but validation is needed. TRIAL REGISTRATION NUMBER: NCT02726698.

Association between comorbidities and left and right atrial dysfunction in patients with paroxysmal atrial fibrillation: Analysis of AF-RISK.

BACKGROUND: To identify the association between comorbidities and left atrial (LA) and right atrial (RA) function in patients with paroxysmal atrial fibrillation (AF). METHODS: This is a cross-sectional study. Speckle-tracking echocardiography was performed in 344 patients with paroxysmal AF at baseline, and available in 298 patients after 1-year follow-up. The number of comorbidities (hypertension, diabetes mellitus, coronary artery disease, body mass index > 25 kg/m2, age > 65 years, moderate to severe mitral valve regurgitation and kidney dysfunction (estimated glomerular filtration rate < 60 ml/min/1.73 m2)) was determined and the association with atrial strain was tested. RESULTS: Mean age of the patients was 58 (SD 12) years and 137 patients were women (40%). Patients with a higher number of comorbidities had larger LA volumes (p for trend <0.001), and had a decrease in all strain phases from the LA and RA, except for the RA contraction phase (p for trend 0.47). A higher number of comorbidities was associated with LA reservoir and conduit strain decrease independently of LA volume (p < 0.001, p < 0.001 respectively). Patients with 1-2 comorbidities, but not patients with 3 or more comorbidities, showed a further progression of impaired LA and RA function in almost all atrial strain phases at 14 [13-17] months follow-up. CONCLUSIONS: In patients with paroxysmal AF, individual and combined comorbidities are related to lower LA and RA strain. In patients with few comorbidities, impairment in atrial function progresses during one year of follow-up. Whether comorbidity management prevents or reverses decrease in atrial function warrants further study.

Atrial function in paroxysmal AF patients with and without heart failure with preserved ejection fraction: Data from the AF-RISK study.

Atrial fibrillation (AF) and heart failure with preserved ejection fraction (HFpEF) are 2 cardiovascular conditions that often coexist. Strain phases of both the left and right atria are more impaired in paroxysmal AF patients with HFpEF than those without HFpEF in spite of comparable global longitudinal strain of the left ventricle. Atrial function may differentiate paroxysmal AF patients with HFpEF from those without HFpEF.

Different circulating biomarkers in women and men with paroxysmal atrial fibrillation: results from the AF-RISK and RACE V studies.

AIMS: The clinical risk profile of atrial fibrillation (AF) patients is different in men and women. Our aim was to identify sex differences in blood biomarkers in patients with paroxysmal AF. METHODS AND RESULTS: Sex differences in 92 blood biomarkers were measured in 364 patients included in our discovery cohort, the identification of a risk profile to guide atrial fibrillation therapy (AF-RISK) study, assessed by multivariable logistic regression and enrichment pathway analysis. Findings were subsequently confirmed in 213 patients included in our validation cohort, the Reappraisal of Atrial Fibrillation: Interaction between HyperCoagulability, Electrical remodelling, and Vascular Destabilisation in the Progression of AF (RACE V) study. In the discovery cohort, mean age was 59 ± 12 years, 41% were women. CHA2DS2-VASc-score was 1.6 ± 1.4. A total of 46% had hypertension, 10% diabetes, and 50% had heart failure, predominantly with preserved ejection fraction (47%). In women, activated leucocyte cell adhesion molecule (ALCAM) and fatty acid binding protein-4 (FABP-4) were higher. In men, matrix metalloproteinase-3 (MMP-3), C-C motif chemokine-16 (CCL-16), and myoglobin were higher. In the validation cohort, four out of five biomarkers could be confirmed: levels of ALCAM (P = 1.73 × 10-4) and FABP-4 (P = 2.46 × 10-7) and adhesion biological pathways [false discovery rate (FDR) = 1.23 × 10-8] were higher in women. In men, levels of MMP-3 (P = 4.31 × 10-8) and myoglobin (P = 2.10 × 10-4) and markers for extracellular matrix degradation biological pathways (FDR = 3.59 × 10-9) were higher. CONCLUSION: In women with paroxysmal AF, inflammatory biomarkers were more often higher, while in men with paroxysmal AF, biomarkers for vascular remodelling were higher. Our data support the clinical notion that pathophysiological mechanisms in women and men with AF may differ. TRIAL REGISTRATION: Clinicaltrials.gov identifier NCT01510210 for AF-RISK; Clinicaltrials.gov NCT02726698 for RACE V.

Antiarrhythmic drugs in patients with early persistent atrial fibrillation and heart failure: results of the RACE 3 study.

AIMS: Maintaining sinus rhythm in patients with persistent atrial fibrillation (AF) is challenging. We explored the efficacy of class I and III antiarrhythmic drugs (AADs) in patients with persistent AF and mild to moderate heart failure (HF). METHODS AND RESULTS: In the RACE 3 trial, patients with early persistent symptomatic AF and short history of mild to moderate HF with preserved or reduced left ventricular ejection fraction (LVEF) were randomized to targeted or conventional therapy. Both groups received AF and HF guideline-driven treatment. Additionally, the targeted-group received mineralocorticoid receptor antagonists, statins, angiotensin-converting enzyme inhibitors and/or receptor blockers, and cardiac rehabilitation. Class I and III AADs could be instituted in case of symptomatic recurrent AF. Eventually, pulmonary vein isolation could be performed. Primary endpoint was sinus rhythm on 7-day Holter after 1-year. Included were 245 patients, age 65 ± 9 years, 193 (79%) men, AF history was 3 (2-6) months, HF history 2 (1-4) months, 72 (29.4%) had HF with reduced LVEF. After baseline electrical cardioversion (ECV), 190 (77.6%) had AF recurrences; 108 (56.8%) received class I/III AADs; 19 (17.6%) flecainide, 36 (33.3%) sotalol, 3 (2.8%) dronedarone, 50 (46.3%) amiodarone. At 1-year 73 of 108 (68.0%) patients were in sinus rhythm, 44 (40.7%) without new AF recurrences. Maintenance of sinus rhythm was significantly better with amiodarone [n = 29/50 (58%)] compared with flecainide [n = 6/19 (32%)] and sotalol/dronedarone [n = 9/39 (23%)], P = 0.0064. Adverse events occurred in 27 (25.0%) patients, were all minor and reversible. CONCLUSION: In stable HF patients with early persistent AF, AAD treatment was effective in nearly half of patients, with no serious adverse effects reported.

Temporal patterns and short-term progression of paroxysmal atrial fibrillation: data from RACE V.

AIMS: Atrial fibrillation (AF) often starts as a paroxysmal self-terminating arrhythmia. Limited information is available on AF patterns and episode duration of paroxysmal AF. In paroxysmal AF patients, we longitudinally studied the temporal AF patterns, the association with clinical characteristics, and prevalence of AF progression. METHODS AND RESULTS: In this interim analysis of the Reappraisal of AF: Interaction Between HyperCoagulability, Electrical Remodelling, and Vascular Destabilisation in the Progression of AF (RACE V) registry, 202 patients with paroxysmal AF were followed with continuous rhythm monitoring (implantable loop recorder or pacemaker) for 6 months. Mean age was 64 ± 9 years, 42% were women. Atrial fibrillation history was 2.1 (0.5-4.4) years, CHA2DS2-VASc 1.9 ± 1.3, 101 (50%) had hypertension, 69 (34%) heart failure. One-third had no AF during follow-up. Patients with long episodes (>12 hours) were often men with more comorbidities (heart failure, coronary artery disease, higher left ventricular mass). Patients with higher AF burden (>2.5%) were older with more comorbidities (worse renal function, higher calcium score, thicker intima media thickness). In 179 (89%) patients, 1-year rhythm follow-up was available. On a quarterly basis, average daily AF burden increased from 3.2% to 3.8%, 5.2%, and 6.1%. Compared to the first 6 months, 111 (62%) patients remained stable during the second 6 months, 39 (22%) showed progression to longer AF episodes, 8 (3%) developed persistent AF, and 29 (16%) patients showed AF regression. CONCLUSIONS: In paroxysmal AF, temporal patterns differ suggesting that paroxysmal AF is not one entity. Atrial fibrillation burden is low and determined by number of comorbidities. Atrial fibrillation progression occurred in a substantial number. TRIAL REGISTRATION NUMBER: Clinicaltrials.gov identifier NCT02726698.

Atrial fibrillation progression risk factors and associated cardiovascular outcome in well-phenotyped patients: data from the AF-RISK study.

AIMS: Atrial fibrillation (AF) is a progressive disease, but identifying patients at risk for AF progression is challenging. We aimed to identify factors associated with AF progression. METHODS AND RESULTS: Atrial fibrillation progression was assessed in 392 patients with recent-onset paroxysmal or persistent AF included in the prospective, observational, multicentre identification of a risk profile to guide atrial fibrillation (AF-RISK) study. Progression of AF was assessed by Holter monitoring and 2-week event recorder at baseline and 1-year follow-up. AF progression was defined as: (i) doubling in AF burden at 1 year compared to baseline with a minimum AF burden of 10% in paroxysmal AF; or (ii) transition from paroxysmal to persistent or permanent AF; or (iii) persistent to permanent AF. Age was 60 ± 11 years, 62% were men, and 83% had paroxysmal AF. At 1 year, 52 (13%) had AF progression (11% in paroxysmal; 26% in persistent AF). Multivariable logistic regression showed that left atrial volume [odds ratio (OR) per 10 mL 1.251, 95% confidence interval (CI) 1.078-1.450; P < 0.001], N-terminal pro-B-type natriuretic peptide (NT-proBNP; OR per standard deviation increase 1.583, 95% CI 1.099-2.281; P = 0.014), and plasminogen activator inhibitor-1 (PAI-1; OR per standard deviation increase 0.660, 95% CI 0.472-0.921; P = 0.015) were associated with AF progression. In an additional follow-up of 1.9 (0.9-3.3) years patients with AF progression developed more cardiovascular events and all-cause mortality (12.4%/year vs. 2.3%/year, P < 0.001). CONCLUSION: Atrial fibrillation progression occurred in 13% of patients with recent-onset AF during 1-year follow-up. Left atrial volume, NT-proBNP, and PAI-1 were associated with AF progression. Patients with AF progression had a higher event rate. TRIAL REGISTRATION NUMBER: Clinicaltrials.gov NCT01510210.

Targeted therapy of underlying conditions improves quality of life in patients with persistent atrial fibrillation: results of the RACE 3 study.

AIMS: Atrial fibrillation (AF) reduces quality of life (QoL). We aim to evaluate effects of targeted therapy of underlying conditions on QoL in patients with AF and heart failure (HF). METHODS AND RESULTS: The Routine versus Aggressive risk factor driven upstream rhythm Control for prevention of Early atrial fibrillation in heart failure (RACE 3) study randomized patients with early persistent AF and HF to targeted or conventional therapy. Both groups received guideline-driven treatment. The targeted group received four additional therapies: mineralocorticoid receptor antagonists; statins; angiotensin converting enzyme inhibitors and/or receptor blockers; and cardiac rehabilitation including physical activity, dietary restrictions, and counselling. Quality of life was analysed in 230 patients at baseline and 1 year with available Medical Outcomes Study Short-Form Health Survey (SF-36), University of Toronto AF Severity Scale (AFSS) questionnaires, and European Heart Rhythm Association (EHRA) class. Improvements in SF-36 subscales were larger in the targeted group for physical functioning (Δ12 ± 19 vs. Δ6 ± 22, P = 0.007), physical role limitations (Δ32 ± 41 vs. Δ17 ± 45, P = 0.018), and general health (Δ8 ± 16 vs. Δ0 ± 17, P < 0.001). Dyspnoea at rest improved more (Δ-0.8 ± 1.3 vs. Δ-0.4 ± 1.2, P = 0.018) and EHRA class was lower at 1-year follow-up in the targeted group. Patients with AF at 1 year, improvement in physical functioning (Δ9 ± 9 vs. Δ-3 ± 16, P = 0.001), general health (Δ7 ± 16 vs. Δ-7 ± 19, P = 0.004), and social functioning (Δ6 ± 23 vs. Δ-4 ± 16, P = 0.041) were larger in the targeted group. CONCLUSION: A strategy aiming to treat underlying conditions improved QoL more compared with conventional therapy in patients with early persistent AF and HF. Its benefit was even observed in patients in AF at 1 year. TRIAL REGISTRATION NUMBER: Clinicaltrials.gov NCT00877643.

Young-onset atrial fibrillation: Sex differences in clinical profile, progression rate and cardiovascular outcome.

BACKGROUND: Women are underrepresented in major atrial fibrillation (AF) trials. In addition, data regarding clinical profile and outcome in young AF patients is limited. Therefore we aimed to investigate the clinical profile, AF progression rate and cardiovascular outcome between sexes in patients with young-onset AF. METHODS: A total of 497 patients with AF-onset <60 years of age were included. Data on clinical profile and cardiovascular outcome were prospectively collected. RESULTS: Of 497 patients, 125 (25%) patients were women. Women had more often familial AF (34% versus 22%, P = 0.012) and obesity (26% versus 18%, P = 0.03). Men had more often coronary artery disease (11% versus 5%, P = 0.04), a longer PR interval [163 (148-180) versus 150 (138-167) ms, P < 0.001] and higher left ventricular mass index [82 (71-96) versus 72 (61-83) g/m2, P < 0.001]. During a median follow-up of 7.0 (2.7-10.0) years AF progression rate was comparable (HR 2.03 for men versus women, 95%CI 0.92-4.48; P = 0.08), and no difference in cardiovascular events was observed between women and men (Log rank P-value = 0.07). CONCLUSIONS: In young patients with AF, clinical patient profile is different between the sexes but did not result in differences in cardiovascular outcome.

Atrial fibrillation progression and outcome in patients with young-onset atrial fibrillation.

Aims: Clinicians increasingly encounter patients with young-onset atrial fibrillation (AF). Aim is to study clinical profile, AF progression, and outcome of patients with young-onset AF. Methods and results: A total of 468 patients with paroxysmal or persistent AF starting <60 years of age were included. Clinical profile, AF progression, defined as development of permanent AF, and cardiovascular events were prospectively collected. Onset of AF was at 46 ± 10 years, 354 (76%) were men, 329 (70%) had paroxysmal AF, 50 (11%) had AF without risk factors or comorbidities, and 118 (25%) had familial AF. Hypertension was present in 207 (44%), heart failure in 44 (9%). During 7.2 (2.7-10.0) years, 56 (11%) had AF progression (2.0%/year). Progression rate in patients receiving antiarrhythmic drugs or pulmonary vein isolation during follow-up was not different from patients who did not. Multivariable determinants of AF progression included diastolic blood pressure [hazard ratio (HR) 1.031, 95% confidence interval (95% CI) 1.007-1.055; P = 0.010] and left atrial size (HR 1.055, 95% CI 1.012-1.099; P = 0.012). Cardiovascular events occurred in 61 patients (13%; 2.4%/year). Multivariable determinants of cardiovascular events were PR interval (HR 1.015, 95% CI 1.005-1.024; P = 0.002) and left ventricular hypertrophy (HR 3.429, 95% CI 1.712-6.868; P = 0.001). Yearly event rate was higher in patients who had developed AF progression, compared to patients without progression [4.9 (2.3-9.0)% vs. 1.9 (1.4-2.6)%; P = 0.006]. Conclusion: Nine of 10 patients with young-onset AF had risk factors and comorbidities, 25% had familial AF. Atrial fibrillation progression to permanent AF and cardiovascular events occurred in 2.0% and 2.4% per year, respectively. Cardiovascular events increased after AF progression had occurred.