New Diagnosis Of Atrial Fibrillation Research Articles

Clinical significance of a new diagnosis of atrial fibrillation in patients with vascular disease.

The Cardiovascular Outcomes for People Using Anticoagulation Strategies (COMPASS) trial enrolled patients with vascular disease, but excluded patients requiring oral anticoagulation. To explore the clinical significance of a new diagnosis of atrial fibrillation (AF) during follow-up. New AF was identified from hospitalization, study drug discontinuation and adverse event reports. Multivariable Cox regression was used to determine risk factors for new AF. Time-updated covariate analysis was used to study the association of new AF with outcomes. During a mean follow-up of 23 months, 655 of 27,395 participants (2.4%) were diagnosed with AF (incidence, 1.3 per 100 patient-years). In adjusted analyses, advanced age, male sex, Caucasian ethnicity, higher body mass index, higher systolic blood pressure, heart failure and prior myocardial infarction were associated with new AF. Compared to participants without a new diagnosis of AF during follow-up or prior to receiving a diagnosis of new AF, participants were at increased risk of a composite outcome of cardiovascular death, stroke or myocardial infarction following a new diagnosis of AF (8.8 vs. 2.4 per 100 patient-years, hazard ratio [HR] 3.66, 95% confidence interval [CI] 2.81-4.75). Risk increases with new AF were also observed for hospitalization for heart failure (6.8 vs. 0.8 per 100 patient-years, HR 8.64, 95% CI 6.31-11.83) and major bleeding (3.9 vs. 1.3 per 100 patient-years, HR 3.18, 95% CI 2.15-4.69). In patients with vascular disease, a new diagnosis of AF was associated with a marked increase in risk of adverse outcomes, especially hospitalization for heart failure.

MVP Risk score y nuevo diagnóstico de fibrilación auricular: estudio de cohorte prospectivo PREFATE

ObjectiveTo assess the association between electrocardiogram (ECG) patterns according to the MVP ECG risk score (morphology-voltage-P-wave duration) and a diagnosis of Atrial Fibrillation (AF). DesignProspective observational cohort study (1/01/2023-31/12/2024). SitePrimary care. ParticipantsRandomized sample of 150 patients aged 65-85 years without prior diagnosis of AF, stroke, or current anticoagulant treatment; high risk of future AF; CHA2DS2-VASc ≥2; and ability to use the FibricheckR application (App). MeasurementsAt baseline, a standard ECG, MVP risk score assessment, and cardiac rhythm monitoring for 15 days using the FibricheckR App were performed. The dependent variables were the presence of P-wave patterns on the electrocardiogram according to MVP risk score and a new diagnosis of AF. ResultsThe diagnosis of AF was confirmed in 14 cases (9.3%, 95% CI 5.6-15.1), 3 men and 11 women. In 3 cases, the arrhythmia was diagnosed on the baseline ECG, and in 11 cases by Holter after being reported as possible AF by the FibricheckR App. A higher prevalence of atypical advanced interatrial block (A-AIB) (p 0.007) was detected among participants with AF, as well as the prevalence of P-wave <0.1mV. (p=0.006). All new diagnoses of AF were made at scores ≥4 in the MVP risk score. ConclusionsUsing scales for identifying ECG patterns in high-risk subjects in primary care can facilitate the diagnosis of unknown AF.

Impact of race and ethnicity on the rhythm control of newly diagnosed atrial fibrillation: Insights from the Get With the Guidelines Atrial Fibrillation Registry

BackgroundAn early rhythm control strategy is the preferred management for patients newly diagnosed with atrial fibrillation (AF). A rhythm control strategy, however, has been historically underused for patients from underrepresented racial and ethnic groups (UREGs). ObjectiveWe aimed to determine whether disparities in rhythm control are present at the initial diagnosis with AF. MethodsWe used the Get With the Guidelines (GWTG)-Atrial Fibrillation registry to compare the use of a rhythm control strategy among patients with different racial and ethnic backgrounds hospitalized with a new diagnosis of AF from January 2013 through December 2023. ResultsAmong 21,567 patients hospitalized for newly detected AF across 249 hospitals, 17,659 patients (81.9%) identified as non-Hispanic White (NHW), 1,860 patients (8.6%) identified as Black, 1,232 patients (5.7%) identified as Hispanic, and 255 patients (1.2%) identified as Asian. After adjusting for age, sex, and year of presentation, NHW patients were more likely to receive rhythm control (odds ratio [OR], 1.19 [1.07, 1.33], P = .0013) compared with non-White patients at the time of initial diagnosis with AF. Black patients were less likely to receive rhythm control compared with all other racial and ethnic groups (OR, 0.80 [0.71, 0.91], P = .0005). These differences persisted after fully adjusting for demographic characteristics, clinical variables, hospital characteristics, and socioeconomic factors. ConclusionsDifferences in rhythm management exist amongst patients from different racial and ethnic groups. Efforts to mitigate disparities in AF management should include an emphasis on rhythm control at the time of initial diagnosis.

The long-term usage of statin prevents adverse events in patients with atrial fibrillation

Abstract Background The effectiveness of statins in preventing adverse cardiovascular events in individuals with atrial fibrillation (AF) has remained uncertain. This study aimed to assess whether statin use could lead to better outcomes among individuals with AF. Purpose Our study aimed to investigate the relationship between statin use and cardiovascular outcomes in patients with newly-diagnosed AF. Methods This study used the National Health Insurance Research Database (NHIRD) in Taiwan. We enrolled 397,787 patients with AF from January 1st, 2012, to December 31st, 2020. Patients with AF were divided into 2 groups (statin user and statin non-user), and the risks of composite outcomes (ischemic stroke, hemorrhagic stroke and transient ischemic attack [TIA]), all-cause death and major adverse cardiovascular events (MACEs, which encompassed cardiovascular death, non-fatal myocardial infarction and heart failure hospitalization) were analyzed. Propensity score matching with time-dependent analysis was examined. Results We analyzed 288,958 patients with newly diagnosed AF (mean age, 73 years; 44% women; mean CHA2DS2-VASc score, 3.5). Compared with patients without statin use, statin user had a lower risk of composite endpoint, which included ischemic stroke, hemorrhagic stroke and TIA. (adjusted hazard ratio, 0.92; 95% confidence interval, 0.88-0.95; p &amp;lt; 0.01) after adjusting for patients’ age, gender, CHA2DS2-VASc score, cardiovascular medications, and comorbidities. In regard to all-cause mortality, statin users exhibited a 62% risk reduction compared to statin non-users (hazard ratio, 0.38; 95% confidence interval, 0.37-0.39; p &amp;lt; 0.01). Statin use was also associated with reduced incidence of MACEs (hazard ratio, 0.70, 95% confidence interval, 0.68-0.71; p &amp;lt; 0.01). In the subgroups stratified by CHA2DS2 VASc score, statin therapy was particularly effective for patients with CHA2DS2-VASc scores 0-3 for composite endpoints but consistently reduced all-cause mortality and MACEs across all score categories. Conclusions Among patients with newly diagnosed AF, statin use was associated with a lower risk of ischemic stroke, hemorrhagic stroke, TIA, all-cause mortality and MACEs.

External validation of a machine learning based classification algorithm for ambulatory heart rhythm diagnostics using smartphone-photoplethysmography - the SMARTBEATS algorithm study

Abstract Introduction Smartphone-photoplethysmography (PPG) can be used for heart rhythm monitoring. According to current guidelines, ECG verification is required for a new diagnosis of atrial fibrillation (AF). Accurate machine learning (ML) based automatic algorithms have the potential to facilitate clinical applications generating large numbers of PPG recordings, by offloading the need for manual over-read. Purpose The aim of this study was to evaluate the diagnostic performance of an automatic ML-based algorithm for heart rhythm diagnostics using smartphone-PPG recorded by patients with AF in an unsupervised ambulatory setting. Methods Patients undergoing direct current cardioversion (DCCV) at a university hospital for treatment of AF or atrial flutter (AFL) were asked to perform one-minute heart rhythm recordings post-cardioversion at least twice daily for 30 days. All participants were provided with an iPhone 7 smartphone running the CORAI Heart Monitor PPG application simultaneously with a single-lead ECG recording (KardiaMobile). The automatic algorithm uses support vector machines (SVM) to classify heart rhythm from smartphone-PPG recordings. The SVM classifier evaluated here was trained on ambulatory PPG recordings made by patients in a separate cardioversion cohort, ensuring complete independence between training and validation sets. PPG recordings in the validation cohort were analyzed by the automatic algorithm and diagnostic performance was calculated by comparing heart rhythm classification output from the SVM classifier to the heart rhythm diagnosis from the simultaneous ECG recordings. ECG recordings were interpreted independently by two cardiologists and were set as gold standard. Results The SVM classifier was trained on data from 153 patients with 11,749 PPG recordings, of which 5,873 (50.0%) were labelled as AF and 5,876 (50.0%) as sinus rhythm (SR), as assessed by manual reading. In the validation cohort, 280 patients, with a median age of 69.0 years (31% women), registered 18,005 simultaneous PPG and ECG recordings. Recordings interpreted as AFL on ECG (2.0%), as having insufficient quality on ECG (4.9%) or PPG (2.8%), and low certainty algorithmic classifications (1.2%) were excluded, leaving 16,057 PPG recordings. Included ECG recordings consisted of 71.2% interpreted as (SR) and 28.8% as AF. Algorithm classification of the PPG recordings in the validation cohort diagnosed AF (sensitivity) in 99.7% and SR (specificity) in 99.7% of the recordings, with an overall accuracy of 99.7%. F1-score was 99.4% and area under the ROC curve (AUC) was 0.999. Conclusion A machine learning based algorithm for automatic heart rhythm diagnostics showed excellent diagnostic performance for smartphone-PPG recordings in an unsupervised ambulatory setting, minimizing the need for ECG verification in cardioversion populations.

Body mass index may alter cardiovascular outcomes in patients with newly-diagnosed atrial fibrillation and previous stroke: an interaction analysis using longitudinal data from the GLORIA-AF registry

Abstract Background Patients with new onset atrial fibrillation (AF) and previous stroke (PS) are at higher risk of cardiovascular (CV) outcomes. An obesity paradox, where overweight or obese patients have better outcomes, has been seen. Whether body mass index (BMI) modify the risks of cardiovascular (CV) events and mortality in AF patients with PS remains uncertain. Purpose To ascertain whether BMI of AF patients with PS events alters risks of CV outcomes. Methods A cohort from phase III of the prospective GLORIA-AF (Global Registry on Long-Term Oral Anti-thrombotic Treatment in Patients With Atrial Fibrillation) was included. Risks of Major Adverse Cardiovascular Events (MACE), CV death, and all-cause mortality were analysed using COX proportional hazard regression with interaction terms added between PS and the BMI characteristics. Results Data from 17482 patients [median age: 71.0 (IQR: 64.0–78.0) years; 45.3% female] with newly-diagnosed AF were analysed and included in risk models. At baseline, 1840 (10.5%) patients with AF had PS in which 1694 (9.7%) and 170 (0.97%) patients had one (1 PS) and ≥2 (2 PS) respectively. After a median follow-up of 3.0 (IQR: 2.9–3.1) years, 1111 MACE, 562 CV deaths, and 1266 all-cause deaths were recorded. In a multivariate COX regression model, interaction between BMI and PS was significant in predicting risk of CV death (Pint =0.019). BMI was also associated with increased risk of CV death among AF patients with ≥1 PS. The interaction between PS and BMI was borderline significant in predicting MACE (Pint=0.063) and all-cause death (Pint=0.057). Figure 1 showed the different risks associated with different BMI statuses. Conclusion The risks of adverse CV outcomes were higher in AF patients with higher BMI and previous stroke. An obesity paradox was not evident in AF patients with previous stroke.Figure 1

Centre-Specific Variation in Atrial Fibrillation Ablation-Treatment Rates in a Universal Single-Payer Healthcare System

BackgroundDisparities in atrial fibrillation ablation rates have been studied previously, with a focus on either patient characteristics or systems factors, rather than geographic factors. The impact of electrophysiology (EP) centre practice patterns on ablation rates has not been well studied. MethodsThis population-based cohort study used linked administrative datasets covering physician billing codes, hospitalizations, prescriptions, and census data. The study population consisted of patients who visited an emergency department with a new diagnosis of atrial fibrillation, in the period 2007-2016, in Ontario, Canada. Patient characteristics, including age, sex, medical history, comorbidities, socioeconomic factors, closest EP centre within 20 km, and distance to the nearest centre, were used as predictors in multivariable logistic regression models to assess the relationship between living in a location around specific EP centres and ablation rates. ResultsThe cohort included 134,820 patients, of whom 9267 had an ablation treatment during the study period. Patients undergoing ablation treatment were younger, had a lower Congestive Heart Failure, Hypertension, Age, Diabetes, Stroke/Transient Ischemic Attack (CHADS2) score, lived closer to EP centres, and had fewer comorbidities than those who did not receive ablation treatment. Wide variation occurred in ablation rates, with adjacent census divisions having ablation rates up to 2.6 times higher. Multivariate regression revealed significant differences in ablation rates for patients who lived in a location around certain EP centres. The odds ratios for living in a location closest to specific centres ranged from 0.78 (95% confidence interval: 0.68-0.89) to 1.60 (95% confidence interval:1.34-1.90). ConclusionsLiving near specific EP centres may significantly affect a patient’s likelihood of receiving ablation treatment, regardless of factors such as age, gender, socioeconomic status, prior medical history, and distance to EP centres.

Recurrent vascular events and mortality outcomes in patients with known atrial fibrillation, compared to atrial fibrillation detected early after stroke.

Atrial fibrillation (AF) detected after stroke (AFDAS) may represent a distinct clinical entity to that of known AF (KAF). However, there is limited long-term outcome data available for patients with AFDAS. More information regarding prognosis in AFDAS is required to inform future trial design in these patients. We used data (2015-2019) from a national prospective stroke registry of consecutive patients with acute ischaemic stroke and AF. AFDAS was defined as a new diagnosis of AF after stroke detected on electrocardiograph or cardiac monitoring. The co-primary endpoints were: (1) all-cause mortality; (2) recurrent major adverse cardiovascular events (MACE) at 3 years. Secondary endpoints were: (1) recurrent stroke; (2) functional outcome at discharge; (3) presence of co-existing stroke mechanisms. 583 patients were included. After a median follow-up of 2.65 years (cumulative 1064 person-years) 309 patients died and 23 had recurrent MACE. Compared with AFDAS, KAF was associated with a higher risk of all-cause mortality (adjusted Hazard Ratio (aHR) 1.56, 95% CI 1.12-2.18), a higher prevalence of co-existing stroke mechanisms (adjusted odds ratio (aOR) 2.28, 95% CI 1.14-4.59), but not poor functional outcome (aOR 1.61, 95% CI 0.98-2.64). A trend towards a higher risk of MACE was observed in patients with KAF, but this was limited by statistical power (aHR 2.90, 95% CI 0.67-12.51). All 14 recurrent strokes occurred in the KAF group (Log-rank p = 0.03). These data provide further evidence that AFDAS differs to KAF with respect to risk of recurrent stroke, MACE, and all-cause mortality.

Population Dementia Incidence and Direct Oral Anticoagulant Use in a Representative Population With Atrial Fibrillation.

Incidence and prevalence of atrial fibrillation (AF), a risk factor of dementia, have been increasing over time. Oral anticoagulation reduces risk of stroke and other negative outcomes of AF and may reduce dementia health inequities. The objective of this study was to estimate dementia incidence in patients with newly-diagnosed AF and taking an anticoagulant as use of direct oral anticoagulants (DOACs) increased. We used a retrospective cohort design with annual incident AF cohorts of community-dwelling Medicare Fee-for-Service beneficiaries, enrolled in Parts A, B, and D from 2007 to 2017. The sample was limited to beneficiaries aged 67 years and older with incident AF; no prior dementia; and use of anticoagulants warfarin, dabigatran, rivaroxaban, apixaban, or edoxaban in year t. A total of 1,083,338 beneficiaries were included in the study, 58.5% female, with mean (SD) age 77.2 (6.75) years. Among anticoagulated, incident AF cohorts, use of DOACs increased from 10.6% in their first year of availability (2011) to 41.4% in 2017. Among incident AF cohorts taking any oral anticoagulant, 3-year dementia incidence did not change significantly over the cohorts after adjusting for confounders. For example, incidence was 9.1% (95% CI 8.9-9.4) among White persons diagnosed with AF in 2007 and 2008 and 8.9% (95% CI 8.7-9.1) in 2017. Across cohorts, dementia incidence was consistently highest for Black persons, followed by American Indian/Alaska Native and White persons, and lowest for Asian persons. In 2017, 10.9% (95% CI 10.4-11.3) of Black persons in the cohort developed dementia within 3 years, 9.4% (95% CI 8.0-10.9) of American Indian/Alaska Native, 8.9% (95% CI 8.7-9.1) of White, 8.7% (95% CI 8.2-9.1) of Hispanic, and 6.9% (95% CI 6.4-7.4) of Asian persons. Across race/ethnicity, 3-year stroke risk decreased consistently over time; however, the increasing availability of DOACs did not alter the trend. Increased use of DOACs among incident AF cohorts from 2007 to 2017 was not associated with significant declines in dementia or stroke risk. Consideration of similar stroke and dementia risk, as well as differences in cost, is warranted when weighing the risks and benefits of available oral anticoagulants.

Clinical significance of new-onset atrial fibrillation in patients with coronary artery or peripheral artery disease: results from the COMPASS trial

Abstract Background The COMPASS trial enrolled patients with coronary artery or peripheral artery disease, but excluded patients requiring oral anticoagulation. Compared to aspirin alone, rivaroxaban in addition to aspirin reduced a composite of cardiovascular death, stroke or myocardial infarction. Purpose This study aimed to explore the clinical significance of a new diagnosis of atrial fibrillation (AF) during follow-up. Methods New AF was identified from unplanned hospitalization, study drug discontinuation and adverse event reports. The associations between new-onset AF, clinical characteristics and outcomes in COMPASS participants were studied using time-updated regression modeling. Event rates were reported as per 100 patient-years (following a new diagnosis of AF vs. from randomization until the end-follow-up or new AF, whichever came first). Results During a mean follow-up of 23 months, 655 of 27,395 participants (2.4%) were newly diagnosed with AF. Advanced age, male sex, white race, higher body mass index, higher systolic blood pressure, heart failure and prior myocardial infarction were independently associated with new-onset AF. The rates of permanent discontinuation of study drug were 83.8% following a new diagnosis of AF, compared to 17.5% in participants without/before new AF. Compared to participants without/before a new diagnosis of AF, participants with new-onset AF were at increased risk of a composite of cardiovascular death, stroke or myocardial infarction (8.9 vs. 2.5 per 100 patient-years, hazard ratio [HR] 4.49, 95% confidence interval [CI] 3.37-6.00) (Figure 1). Risk increases with new-onset AF were also observed for hospitalization for heart failure (9.1 vs. 1.1 per 100 patient-years, HR 6.35, 95% CI 4.59-8.80) (Figure 2) and major bleeding (4.1 vs. 1.3 per 100 patient-years, HR 2.93, 95% CI 1.99-4.33). Conclusion In COMPASS, a new diagnosis of AF during trial follow-up was associated with a marked increase in risk of adverse outcomes.Composite outcome after new-onset AFHeart failure after new-onset AF

Effectiveness, utilisation and cost associated with implantable loop recorders versus external monitors after ischaemic or cryptogenic stroke

ObjectiveImplantable loop recorders (ILRs) are increasingly used for long-term rhythm monitoring after ischaemic and cryptogenic stroke, with the goal of detecting atrial fibrillation (AF) and subsequent initiation of oral anticoagulation...

Artificial intelligence-enabled electrocardiogram in the detection of patients at risk of atrial functional mitral regurgitation

Abstract Background Atrial functional mitral regurgitation (AFMR) is an increasingly recognized cause of functional MR thought to result from left atrial enlargement and myopathy in the setting of preserved left ventricular geometry and function. AFMR mostly occurs in patients with atrial fibrillation (AF) and/or heart failure with preserved ejection fraction. Purpose We investigated whether the use of an artificial intelligence-based electrocardiogram (AI-ECG) can identify patients with new-onset AF and sinus rhythm (SR) who are at highest risk of developing AFMR. Methods Adults with a new diagnosis of AF between 2010 and 2021 who had a transthoracic echocardiogram (TTE) within 1 month after AF diagnosis were identified. Similarly, adults in SR who never had AF diagnosis and had a TTE during the same period were identified. Exclusion criteria from both groups included &amp;gt;mild MR at baseline, primary mitral valve disease, cardiomyopathy, ≥moderate aortic valve disease, current or previous low ejection fraction, enlarged left ventricle, cardiac devices, previous cardiac surgeries, and the absence of follow-up TTE ≥6 months from baseline. Only patients who had ECG within 10 days of the TTE were included. When multiple ECGs were available, the closest was considered. A previously trained AI-ECG algorithm to detect the probability of AF was utilized. Incident AFMR was defined as &amp;gt;mild functional MR in the absence of &amp;gt;mild left ventricle enlargement or dysfunction. Diastolic dysfunction was defined according to ASE/EACVI guidelines. Results Overall, 1,570 patients with new-onset AF (median age 67 years; 34% females) and 16,802 patients in SR (median age 59 years; 46% females) were included. The median AI ECG probability for AF was 43% (IQR 26%-59%) in the new-onset AF group and 2% (0.5%-7%) in the SR group, Figure 1. Incident AFMR occurred in 152 patients in the AF group over median 3.06 (IQR 1.5-5.2) years of follow-up and in 482 patients in the SR group over median 3.0 (1.5-5.6) years of follow-up. The probability of silent AF by the AI-ECG was associated with incident AFMR in the new-onset AF group [hazard ratio 1.19 (95% CI 1.11-1.28) per 10%, p &amp;lt;.001] and the SR group [hazard ratio 1.19 (95% CI 1.12-1.25) per 10%, p &amp;lt;.001]. The AI ECG-derived AF probability remained as an independent risk factor for AFMR in multivariable analysis in both AF and SR, Table 1. Conclusion The AI ECG for AF might be able to reflect the degree of left atrial myopathy and thus the risk of incident AFMR in patients with AF and SR.Distribution of AI ECG probability of AFMultivariable risk factors for AFMR

Differences of women and men in smartphone-based screening for atrial fibrillation: a pre-specified subgroup analysis of the eBRAVE-AF trial

Abstract Background eBRAVE-AF, a siteless, randomized, controlled trial, showed that digital smart-device based screening for atrial fibrillation (AF) significantly increased the detection rate of treatment-relevant AF when compared to usual care. Purpose In this pre-specified subgroup analysis, we aimed to investigate the effect of sex on compliance, efficacy of digital screening, as well as the interaction between sex and AF-triggered major adverse cardiovascular complications (MACCE). Methods 5.551 individuals, free of AF at baseline were randomized to digital screening (n=2.860) or usual care (n=2.691). For digital screening, participants used a certified app to screen for irregularities in their pulse waves by means of photoplethysmography (PPG). Abnormal findings were confirmed by a 14-day Holter-ECG. The primary endpoint was newly diagnosed AF treated with oral anticoagulation (OAC) within 6 months. After 6 months, participants were invited to cross-over for a second study phase with reverse assignment. For this analysis we combined the two phases of the study using multilevel clustered Cox-regression analysis. Results The median age was 65 ± 11 years, the median CHA2DS2-VASc score was 3 ± 1 and 1.725 participants (31%) were females. Female sex was associated with better compliance in terms of more frequent PPG-measurements (57 ± 57) compared to male sex (50 ± 62; p&amp;lt;0.001). During a median follow-up time of 12 months 102 subjects reached the primary endpoint (including 2 endpoints in the cross-over window). Male sex (81 events) compared to female sex (21 events) was a significant predictor for reaching the primary endpoint (HR 1.74; 95% CI 1.08-2.82, p=0.023). While digital screening significantly increased the detection rate of AF requiring OAC in men (HR 2.48; 95% CI 1.52-4.05, p &amp;lt;0.001; Fig 1A), this effect did not reach the level of statistical significance in women (HR 1.83; 95% CI 0.74-4.54, p=0.193; Fig 1B), most probably due to the lower event-rate. The interaction between sex and the efficacy of digital screening was not statistically significant (p=0.563). Next to a higher incidence of AF in men (3.0% per year; 95% CI 2.4-4.5%) compared to women (1.8% per year; 95% CI 1.1%-2.4%; p=0.013), male participants were also at a higher risk for developing MACCE (106 vs. 20 events) (HR 2.57; 95% CI 1.57-4.20, p &amp;lt;0.001). AF was a significant predictor for developing MACCE in men (HR 6.52; 95% CI 3.42-12.43, p&amp;lt;0.001). Only one female participant with AF developed MACCE. Therefore, this analysis cannot be applied in females. Conclusion In a large-scale clinical trial, comparing digital screening to usual care for detecting AF requiring OAC, female sex was associated with better compliance to the study protocol and lower risk for developing AF requiring OAC. There was no significant interaction between sex and the efficacy of digital screening for detecting AF requiring OAC. In men, newly-diagnosed AF was associated with increased risk for MACCE.

Risk of incident atrial fibrillation and subsequent use of oral anticoagulants in patients with dementia

Abstract Background Dementia and atrial fibrillation (AF) have many shared risk factors, and the presence of AF is associated with a higher risk of incident dementia. Although patients with dementia have higher risk of adverse cardiovascular events, there are limited data on the risks of incident AF, and the associated AF-related clinical outcomes. Patients with dementia are under-represented in randomised trials, and even if AF is present, oral anticoagulants (OAC) are not prescribed frequently. We aimed to report the incidence of newly-diagnosed AF in dementia patients, and the impact on stroke and bleeding outcomes with vitamin K antagonist (VKA, eg warfarin) and non-VKA OAC (NOACs). Methods Nationwide cohort study of 544,074 patients with dementia, compared to 554,074 age- and sex-matched patients without dementia. Results Rates of newly-diagnosed AF were higher in patients with dementia compared to those without history of dementia (1.89 per 100 person-years vs 1.78 per 100 person-years, respectively); adjusted risk of incident AF was greater in all types of dementia, pre-senile/senile dementia and vascular dementia (Figure 1). When compared to non-OAC users, warfarin use was associated with higher risk of ischaemic stroke (aHR, 1.290; 95% CI, 1.156 - 1.440), intracranial hemorrhage (ICH) risk (aHR, 1.678; 95% CI, 1.346 - 2.09) and major bleeding (aHR, 1.192; 95% CI, 1.073 - 1.323). NOAC use was associated with lower risk of ischaemic stroke (aHR, 0.42; 95% CI, 0.352 - 0.501) and major bleeding (aHR; 0.504, 95% CI, 0.433 - 0.587), when compared to non-OAC use (Figure 2). Conclusions In this large nationwide cohort of dementia patients, the incidence rate of newly-diagnosed or incident AF was higher in patients with dementia compared to patients without dementia. Compared to non-OAC users, NOAC use was associated with a lower risk of ischaemic stroke and major bleeding. Patients with dementia require a holistic approach to their care and management, including the use of NOACs to reduce their risks of clinical events.

Abstract 15925: Comparative Mortality, Safety, and Cost Among Stroke Patients Who Received Implantable Loop Records Compared to Continuous External Cardiac Monitors

Background: Implantable loop recorders (ILR) are increasingly used to screen for atrial fibrillation (AF) among patients with stroke, but real-world outcomes are lacking. Goal: To determine comparative effectiveness, safety, and costs of ILR compared with continuous external monitors (CEM) and Holter monitors in a real-world setting of patients with stroke. Methods: This retrospective cohort analysis used the Optum Labs Data Warehouse, which contains longitudinal, de-identified administrative claims. The cohort included patients with recent stroke who received cardiac monitoring from 1/1/2016 - 6/30/2021, comparing those with ILR to those with CEM (&gt;48 hours to 30 days) or Holter (≤48 hours). Eligibility criteria included: ischemic stroke during 6 month baseline; continuous enrollment with medical and pharmacy coverage; no evidence of pacemaker, implantable cardioverter-defibrillator, AF, left atrial appendage ablation, or oral anticoagulants. The primary outcome was 12-month all-cause mortality, secondary outcomes included new diagnosis of AF + initiation of anticoagulants, hemorrhagic stroke, and total and device-related costs. Final analyses were adjusted for CHA 2 DS 2 -VASc score. Results: Among 48,801 individuals, 18.9% received ILR, 59.5% CEM, and 21.6% Holter. Groups had similar demographics and comorbidities (Table). Compared to those with CEM, the ILR group had higher odds of a new diagnosis of AF plus initiation of anticoagulants (OR 2.27; (95% CI 2.09, 2.48)), and hemorrhagic stroke (OR of 1.60 (95% CI 1.34, 1.93)). There was no difference in mortality. Unadjusted direct medical cost of monitoring was substantially higher in the ILR group ($13,975) compared to CEM ($449) and Holter ($149). Conclusions: Although the use of ILRs was associated with increased detection and treatment for AF, there was no impact on all-cause mortality. ILR was associated with increased hemorrhagic stroke and higher costs.

The Role of Electrocardiographic Markers for Predicting Atrial Fibrillation in Patients with Acute Ischemic Stroke: Data from the BIOSIGNAL Cohort Study.

P-wave abnormalities in the 12-lead electrocardiogram (ECG) have been associated with a higher risk of acute ischemic stroke (AIS) as well as atrial fibrillation (AF). This study aimed to assess pre-determined ECG criteria during sinus rhythm in unselected AIS patients and their value for predicting newly diagnosed atrial fibrillation (NDAF) after hospital admission. P-wave alterations were measured on 12-lead ECG on admission in all consecutively enrolled patients without known AF between October 2014 and 2017. The outcome of interest was NDAF, identified by prolonged electrocardiographic monitoring within one year after the index AIS. Univariable and multivariable logistic regression was applied to assess the magnitude and independence of the association between pre-selected ECG markers and NDAF. The discriminatory accuracy was evaluated with the area under the receiver operating characteristic curve (AUC), and the incremental prognostic value was estimated with the net reclassification index. NDAF was detected in 87 (10%) of 856 patients during a follow-up of 365 days. Out of the pre-selected ECG parameters, advanced interatrial block (aIAB) and PR interval in lead II were independently associated with NDAF in univariable regression analysis. Only aIAB remained a significant predictor in multivariable analysis. Adding aIAB to the best-performing multivariable regression model improved the discriminatory accuracy to predict NDAF from an AUC of 0.78 (95%-CI 0.77-0.80) to 0.81 (95%-CI 0.80-0.83, p < 0.001). aIAB is independently and highly associated with NDAF in patients with AIS, has high inter-rater reliability, and therefore may be helpful to refine diagnostic work-up to search for AF in AIS.

Influence of thrombocytopenia on bleeding and vascular events in atrial fibrillation

AbstractWhether thrombocytopenia substantively increases the risk of hemorrhage associated with anticoagulation in patients with atrial fibrillation (AF) is not established. The purpose of this study was to compare rates of bleeding in patients with AF and thrombocytopenia (platelet count < 100 000/μL) to patients with AF and normal platelet counts (>150 000/μL). We performed a propensity score–matched, retrospective cohort study of adults (n = 1070) with a new diagnosis of AF who received a prescription for an oral anticoagulant between 2015 and 2020. The thrombocytopenia cohort was defined as having at least 2 platelet counts <100 000/μL on separate days in the period spanning the 12 weeks preceding the initiation of anticoagulation to 6 weeks after the initiation of anticoagulation. The primary end point was the 1-year cumulative incidence of major bleeding; secondary end points included clinically relevant bleeding, arterial and venous thrombotic events, and all-cause mortality. Patients with AF and thrombocytopenia experienced a higher 1-year cumulative incidence of major bleeding (13.3% vs 5.7%; P < .0001) and clinically relevant bleeding (24.5% vs 16.7%; P = .005) than the controls. Thrombocytopenia was identified as an independent risk factor for major bleeding (hazard ratio, 2.20; confidence interval, 1.36-3.58; P = .001), with increasing risk based on the severity of thrombocytopenia. The cumulative incidence of arterial thrombosis at 1 year was 3.6% in the group with thrombocytopenia and 1.5% in controls (Gray test, P = .08). These findings suggest that baseline platelet counts are an important biomarker for hemorrhagic outcomes in AF and that the degree of thrombocytopenia is an important factor in determining the level of risk.

Oral Anticoagulant Use in Patients with Atrial Fibrillation at Low Risk of Stroke and Associated Bleeding Complications.

The use of oral anticoagulants (OACs) in patients with atrial fibrillation (AF) and low stroke risk might cause more harm than benefit. Little attention has been given to address its prevalence and associated consequences. This study aimed to investigate the prescription rate of OACs, identify associated factors, and describe incident bleeding events in low-risk patients. We included patients with a new diagnosis of AF between 1 January 2011 and 31 December 2018 having a low risk of stroke (CHA2DS2-VASc score of 0 for males and 1 for females) from Australian general practice data (MedicineInsight). Patients were classified as OAC users if there was a recorded prescription of an OAC within 60 days of AF diagnosis, and factors associated with the prescription of an OAC were assessed using logistic regression. Recorded incident bleeding events were identified within 6 months after AF diagnosis or after OAC initiation for OAC non-users and users, respectively. The risk of bleeding was compared between the two groups by adjusting their baseline differences using propensity score matching. The study included 2810 low-risk patients (62.3% male) with a mean age of 49.3 ± 10.8 years. Of the total, 705 (25.1%) patients had a record of OAC prescription within 60 days of diagnosis of AF. Older age (odds ratio [OR] 1.03; 95% confidence interval [CI] 1.03-1.04) and diagnosis periods (2015-2016 [OR 1.46; 95% CI 1.10-1.94] and 2017-2018 [OR 1.65; 95% CI 1.17-2.23] vs. 2011-2012) were associated with higher odds of OAC initiation. Female sex (OR 0.71; 95% CI 0.59-0.85), higher bleeding risk (ORBIT score; OR 0.80; 95% CI 0.68-0.94), and higher socioeconomic index for areas (SEIFA) quintiles (SEIFA quintiles; 2 [OR 0.65; 95% CI 0.48-0.88], 3 [OR 0.74; 95% CI 0.56-0.98], 4 [OR 0.70; 95% CI 0.52-0.94], 5 [OR 0.69; 95% CI 0.52-0.91] compared with quintile 1) were associated with lower odds of OAC prescription. A total of 52 (in 1.8% of patients) incident bleeds were identified, with 18 (2.6%) among OAC users. The rate of bleeding was not significantly different between users and non-users after matching. However, within OAC users, commencement of OAC was associated with an increased risk of bleeding compared to the period before OAC initiation (p = 0.006). One in four patients at low risk of stroke received an OAC within 60 days of AF diagnosis. Older age and the period following the widespread availability of direct-acting OACs were associated with an increased likelihood of OAC prescription. Positively, using OACs was not associated with an increased rate of bleeding compared to non-users.

Incidence, risk factors, and outcomes of atrial functional mitral regurgitation in patients with atrial fibrillation or sinus rhythm.

Atrial functional mitral regurgitation (AFMR) has been associated with atrial fibrillation (AF) and heart failure with preserved ejection fraction. However, data on incident AFMR are scarce. We aimed to study the incidence, risk factors, and clinical significance of AFMR in AF or sinus rhythm (SR). Adults with new diagnosis of AF and adults in SR were identified. Patients with >mild MR at baseline, primary mitral disease, cardiomyopathy, left-sided valve disease, previous cardiac surgery, or with no follow-up echocardiogram were excluded. Diastolic dysfunction (DD) was indicated by ≥2/4 abnormal diastolic function parameters [mitral medial e', mitral medial E/e', tricuspid regurgitation velocity, left atrial volume index (LAVI)]. Overall, 1747 patients with AF and 29 623 in SR were included. Incidence rate of >mild AFMR was 2.6 per 100 person-year in new-onset AF and 0.7 per 100 person-year in SR, P < 0.001. AF remained associated with AFMR in a propensity score-matched analysis based on age, sex, and comorbidities between AF and SR [hazard ratio: 3.80 (95% confidence interval 3.04-4.76)]. Independent risk factors associated with incident AFMR were age ≥65 years, female sex, LAVI, and DD in both AF and SR, in addition to rate (vs. rhythm) control in AF. Incident AFMR was independently associated with all-cause death in both groups (both P < 0.001). AF conferred a three-fold increase in the risk of incident AFMR. DD, older age, left atrial size, and female sex were independent risk factors in both SR and AF, while rhythm control was protective. AFMR was universally associated with worse mortality.

Factors associated with oral anticoagulant prescription status among patients with a new diagnosis of atrial fibrillation.

Atrial fibrillation (AF) is the most common sustained arrhythmia in adults and increases stroke risk. Treatment with oral anticoagulants (OACs) may reduce this risk however many patients do not receive OAC therapy. This study aimed to use electronic health record data to identify newly diagnosed AF patients at high risk for stroke and not anticoagulated as well as factors associated with OAC prescription. Timely prescription of OACs among patients with newly diagnosed AF is poor. We performed a retrospective study of patients with a new diagnosis of AF. We assessed stroke risk with the CHA2 DS2 -VASc score. The primary outcome was prescription of an OAC within 6 months following diagnosis. We used logistic regression to see how the odds of being prescribed an OAC differs for 17 independent variables. We identified 18 404 patients with a new diagnosis of AF. Among patients at high risk for stroke, 41.3% received an OAC prescription within 6 months. Male sex, Caucasian compared to African American race, stroke, obesity, congestive heart failure, vascular disorder, current antiplatelet, beta blocker, or calcium channel blocker prescription, and increasing CHA2 DS2 -VASc score were positively associated with receiving an OAC. Whereas anemia, renal dysfunction, liver dysfunction, antiarrhythmic drug use and increasing HAS-BLED score were negatively associated. Most newly diagnosed AF patients at high stroke risk do not receive an OAC prescription in the first 6 months following diagnosis. Our analysis suggests that patient sex, race, comorbidities, and additional prescriptions are associated with rates of OAC prescribing.