Publications

Atrial fibrillation affects 33.5 million people worldwide and its prevalence is expected to double by 2050 because of the aging population. Atrial fibrillation confers a 5-fold higher risk of ischemic stroke compared to sinus rhythm. We present our view of the role of shared medical decision-making to combat global underutilization of oral anticoagulation for stroke prevention in atrial fibrillation patients. Oral anticoagulation underuse is widespread as it is present within atrial fibrillation patients of all risk strata and in countries across all income levels. Reasons for oral anticoagulation underuse include but are probably not limited to poor risk stratification, over-interpretation of contraindications, and discordance between physician prescription preferences and actual administration. By comparing a catastrophic event to the consequences of atrial fibrillation related strokes, it may help physicians and patients understand the negative outcomes associated with oral anticoagulation under-utilization and the magnitude to which oral anticoagulations neutralize atrial fibrillation burden.

The association between female sex and IS rate has decreased and become non-significant over the course of the study period from 2007 to 2018, suggesting that female sex could be omitted as a factor when estimating expected IS rates and the need for OAC therapy in patients with AF.

Single stage models are still heavily utilized by many CVD risk prediction studies for modelling longitudinal data. Future studies should fully utilize available longitudinal data when analyzing CVD risk by employing two-stage and joint approaches which can often better utilize the available data.

Overall, LAA occlusion might be a suitable alternative to NOAC therapy for stroke prevention in patients with AF.

We aimed to develop a machine learning (ML) model for predicting cardiovascular (CV) events in patients with diabetes (DM). This was a prospective, observational study where clinical data of patients with diabetes hospitalized in the diabetology center in Poland (years 2015-2020) were analyzed using ML. The occurrence of new CV events following discharge was collected in the follow-up time for up to 5 years and 9 months. An end-to-end ML technique which exploits the neighborhood component analysis for elaborating discriminative predictors, followed by a hybrid sampling/boosting classification algorithm, multiple logistic regression (MLR), or unsupervised hierarchical clustering was proposed. In 1735 patients with diabetes (53% female), there were 150 (8.65%) ones with a new CV event in the follow-up. Twelve most discriminative patients' parameters included coronary artery disease, heart failure, peripheral artery disease, stroke, diabetic foot disease, chronic kidney disease, eosinophil count, serum potassium level, and being treated with clopidogrel, heparin, proton pump inhibitor, and loop diuretic. Utilizing those variables resulted in the area under the receiver operating characteristic curve (AUC) ranging from 0.62 (95% Confidence Interval [CI] 0.56-0.68, P < 0.01) to 0.72 (95% CI 0.66-0.77, P < 0.01) across 5 nonoverlapping test folds, whereas MLR correctly determined 111/150 (74.00%) high-risk patients, and 989/1585 (62.40%) low-risk patients, resulting in 1100/1735 (63.40%) correctly classified patients (AUC: 0.72, 95% CI 0.66-0.77). ML algorithms can identify patients with diabetes at a high risk of new CV events based on a small number of interpretable and easy-to-obtain patients' parameters.

Background and Purpose- Recurrent bleeding associated with oral anticoagulants (OACs) causes a dilemma in patients with atrial fibrillation (AF) sustaining an intracerebral hemorrhage. Treatment recommendations guiding clinical practice on optimal OAC agent selection in this population are lacking. This study aimed to investigate the comparative effectiveness and safety of non-vitamin K antagonist OAC (NOAC) versus warfarin in patients with AF sustaining an intracerebral hemorrhage. Methods- We conducted a nationwide observational cohort study including patients with AF sustaining an intracerebral hemorrhage and who subsequently claimed an OAC prescription. Contrasts of 1-year risks for ischemic stroke and intracerebral hemorrhage risks were obtained and evaluated by inverse probability treatment weighted absolute risk reduction and risk ratios. Results- Among 622 AF patients with intracerebral hemorrhage, 274 claimed a warfarin prescription and 348 a NOAC prescription. Mean age was 76 years (39% females); 72% had an index nonsevere event and 28% moderate to severe index event according to the Scandinavian Stroke Severity scale. The 1-year ischemic stroke risk was 7.85% for warfarin and 4.01% for NOACs, with a weighted absolute risk reduction of 3.78% (95% CI, -0.15% to 7.71%); the weighted risk ratio was 0.52 (0.27-1.00). For recurrent intracerebral hemorrhage, the risk was 7.00% for warfarin and 5.07% for NOACs. The absolute risk reduction was 1.93% (-2.02% to 5.87%), with an a weighted risk ratio of 0.72 (0.38-1.38). Conclusions- NOACs were associated with a nonsignificant lower risk of ischemic stroke and recurrent intracerebral hemorrhage compared with warfarin. The results add to current recommendations of selecting a NOAC agent for stroke prophylaxis treatment in patients with AF, including those with sustaining an intracerebral hemorrhage.

AF was more likely to recur among patients with lower educational attainment, lower family income, or those living alone. Multidisciplinary efforts are needed to reduce socioeconomic inequity in the effect of ablation.

Background Dose adjustment of non-vitamin K antagonist oral anticoagulants (NOACs) is indicated in some patients with atrial fibrillation (AF), based on selected patient factors or concomitant medications. We assessed the frequency of label adherence of NOAC dosing among AF patients and the associations between off-label NOAC dosing and clinical outcomes. Methods and Results We evaluated 53 649 AF patients treated with an NOAC using Korean National Health Insurance Service database during the period from 2013 to 2016. NOAC doses were classified as either underdosed or overdosed, consistent with Korea Food and Drug Administration labeling. Cox proportional hazards regression was performed to investigate the effectiveness and safety outcomes including stroke or systemic embolism, major bleeding, and all-cause mortality. Overall, 16 757 NOAC-treated patients (31.2%) were underdosed, 4492 were overdosed (8.4%), and 32 400 (60.4%) were dosed appropriately according to drug labeling. Compared with patients with label adherence, those who were underdosed or overdosed were older (aged 71±8 and 75±7 years versus 70±9 years, respectively; <i>P</i><0.001) and had higher CHA₂DS₂-VASc scores (4.6±1.7 and 5.3±1.7 versus 4.5±1.8, respectively; <i>P</i><0.001). NOAC overdosing was associated with increased risk for stroke or systemic embolism (5.76 versus 4.03 events/100 patient-years, <i>P</i><0.001), major bleeding (4.77 versus 2.94 events/100 patient-years, <i>P</i><0.001), and all-cause mortality (5.43 versus 3.05 events/100 patient-years, <i>P</i><0.001) compared with label-adherent use. Conclusions In real-world practice, a significant proportion (almost 2 in 5) of AF patients received NOAC doses inconsistent with drug labeling. NOAC overdosing is associated with worse clinical outcomes in Asian AF patients.

Over the time of follow-up in this study lower new-onset incident AF was in association with higher HDL-C and apo-A1 levels. Future studies should investigate mechanisms underlying the association of low HDL-C and low apoA1 with higher risk of incident AF.

Edoxaban 60 mg is a safe and effective treatment compared with warfarin for stroke prevention in routine clinical care for Danish (mainly Caucasian) patients with AF, with non-significantly different risks for stroke and clinically relevant bleeding, but lower all-cause mortality.