[Detection model of atrial fibrillation based on multi-branch and multi-scale convolutional networks].

Atrial fibrillation (AF) is a life-threatening heart condition, and its early detection and treatment have garnered significant attention from physicians in recent years. Traditional methods of detecting AF heavily rely on doctor's diagnosis based on electrocardiograms (ECGs), but prolonged analysis of ECG signals is very time-consuming. This paper designs an AF detection model based on the Inception module, constructing multi-branch detection channels to process raw ECG signals, gradient signals, and frequency signals during AF. The model efficiently extracted QRS complex and RR interval features using gradient signals, extracted P-wave and f-wave features using frequency signals, and used raw signals to supplement missing information. The multi-scale convolutional kernels in the Inception module provided various receptive fields and performed comprehensive analysis of the multi-branch results, enabling early AF detection. Compared to current machine learning algorithms that use only RR interval and heart rate variability features, the proposed algorithm additionally employed frequency features, making fuller use of the information within the signals. For deep learning methods using raw and frequency signals, this paper introduced an enhanced method for the QRS complex, allowing the network to extract features more effectively. By using a multi-branch input mode, the model comprehensively considered irregular RR intervals and P-wave and f-wave features in AF. Testing on the MIT-BIH AF database showed that the inter-patient detection accuracy was 96.89%, sensitivity was 97.72%, and specificity was 95.88%. The proposed model demonstrates excellent performance and can achieve automatic AF detection.

Unlocking Hidden Risks: Harnessing Artificial Intelligence (AI) to Detect Subclinical Conditions from an Electrocardiogram (ECG).

Recent artificial intelligence (AI) advancements in cardiovascular medicine offer potential enhancements in diagnosis, prediction, treatment, and outcomes. This article aims to provide a basic understanding of AI enabled ECG technology. Specific conditions and findings will be discussed, followed by reviewing associated terminology and methodology. In the appendix, definitions of AUC versus accuracy are explained. The application of deep learning models enables detecting diseases from normal electrocardiograms at accuracy not previously achieved by technology or human experts. Results with AI enabled ECG are encouraging as they considerably exceeded current screening models for specific conditions (i.e., atrial fibrillation, left ventricular dysfunction, aortic stenosis, and hypertrophic cardiomyopathy). This could potentially lead to a revitalization of the utilization of the ECG in the insurance domain. While we are embracing the findings with this rapidly evolving technology, but cautious optimism is still necessary at this point.

Surgical Removal of a Migrated WATCHMAN Device.

The WATCHMAN™ atrial appendage closure device is designed to reduce the risk of stroke in patients with nonvalvular atrial fibrillation who are not suitable candidates for long-term oral anticoagulation therapy. However, the device also carries small risks, including procedural complications such as device migration, embolization, or pericardial effusion. We describe a case of WATCHMAN device migration requiring surgical retrieval.

Prevalence and Associated Factors of Paroxysmal Atrial Fibrillation and Atrial Arrhythmias During Hospitalizations for Exacerbation of COPD.

Purpose: This study aimed to investigate the proportion and risk factors of paroxysmal atrial fibrillation (AF) and atrial arrhythmias (AA) in patients hospitalized for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) in Vietnam. Patients and Methods: A prospective observational study was conducted at two major hospitals in Hanoi, Vietnam, from January 2022 to January 2023. A total of 197 AECOPD patients were recruited. ECG and 24-hour Holter ECG were used to diagnose paroxysmal AF and AA. Results: The prevalence of paroxysmal AF and AA were 15.2% and 72.6%, respectively. Factors associated with a higher likelihood of paroxysmal AF included aging 75 years old and above (aOR = 3.15; 95% CI: 1.28 to 8.48), Premature atrial complex (PAC) with 500 or more (aOR = 3.81; 95% CI: 1.48 to 10.97) and severity of COPD as group C and D (aOR = 3.41; 95% CI: 1.28 to 10.50). For AA, aging 75 years old and above (aOR = 2.25; 95% CI: 1.28 to 5.20), smoking (aOR = 2.10; 95% CI: 1.07 to 4.23) and P wave dispersion (PWD) with 40 milliseconds or more (aOR = 3.04; 95% CI: 1.54 to 6.19) were associated with a higher likelihood of AA. Conclusion: Overall, our findings highlight the associated factors with the paroxysmal AF and AA among AECOPD patients. This underscores the importance of a multifaceted approach to risk assessment and management in this vulnerable population, focusing not only on respiratory symptoms but also on comprehensive cardiovascular evaluation and intervention.

A Cautionary Tale of Hypertrophic Cardiomyopathy-From "Benign" Left Ventricular Hypertrophy to Stroke, Atrial Fibrillation, and Molecular Genetic Diagnostics: A Case Report and Review of Literature.

This case report concerns a 48-year-old man with a history of ischemic stroke at the age of 41 who reported cardiac hypertrophy, registered in his twenties when explained by increased physical activity. Family history was positive for a mother with permanent atrial fibrillation from her mid-thirties. At the age of 44, he had a first episode of persistent atrial fibrillation, accompanied by left atrial thrombosis while on a direct oral anticoagulant. He presented at our clinic at the age of 45 with another episode of persistent atrial fibrillation and decompensated heart failure. Echocardiography revealed a dilated left atrium, reduced left ventricular ejection fraction, and an asymmetric left ventricular hypertrophy. Cardiac magnetic resonance was positive for a cardiomyopathy with diffuse fibrosis, while slow-flow phenomenon was present on coronary angiography. Genetic testing by whole-exome sequencing revealed three variants in the patient, c.309C > A, p.His103Gln in the ACTC1 gene, c.116T > G, p.Leu39Ter in the PLN gene, and c.5827C > T, p.His1943Tyr in the SCN5A gene, the first two associated with hypertrophic cardiomyopathy and the latter possibly with familial atrial fibrillation. This case illustrates the need for advanced diagnostics in unexplained left ventricular hypertrophy, as hypertrophic cardiomyopathy is often overlooked, leading to potentially debilitating health consequences.

A Crowdsourced AI Framework for Atrial Fibrillation Detection in Apple Watch and Kardia Mobile ECGs.

Background: Atrial fibrillation (AFib) detection via mobile ECG devices is promising, but algorithms often struggle to generalize across diverse datasets and platforms, limiting their real-world applicability. Objective: This study aims to develop a robust, generalizable AFib detection approach for mobile ECG devices using crowdsourced algorithms. Methods: We developed a voting algorithm using random forest, integrating six open-source AFib detection algorithms from the PhysioNet Challenge. The algorithm was trained on an AliveCor dataset and tested on two disjoint AliveCor datasets and one Apple Watch dataset. Results: The voting algorithm outperformed the base algorithms across all metrics: the average of sensitivity (0.884), specificity (0.988), PPV (0.917), NPV (0.985), and F1-score (0.943) on all datasets. It also demonstrated the least variability among datasets, signifying its highest robustness and effectiveness in diverse data environments. Moreover, it surpassed Apple's algorithm on all metrics and showed higher specificity but lower sensitivity than AliveCor's Kardia algorithm. Conclusions: This study demonstrates the potential of crowdsourced, multi-algorithmic strategies in enhancing AFib detection. Our approach shows robust cross-platform performance, addressing key generalization challenges in AI-enabled cardiac monitoring and underlining the potential for collaborative algorithms in wearable monitoring devices.

Predictive indicators in peripheral blood and left atrium blood for left atrial spontaneous echo contrast in atrial fibrillation patients.

OBJECTIVES: The purpose of this study was to demonstrate the discriminating predictive indicators in peripheral blood and left atrium blood for predicting the risk of left atrial spontaneous echo contrast (LASEC) in atrial fibrillation patients underwent catheter ablation. METHODS: A total of 108 consecutive AF patients treated with radiofrequency ablation between July 2022 and July 2023 were enrolled and divided into two groups based on preprocedural transesophageal echocardiography: the non LASEC group (n = 71) and the LASEC group (n = 37). Circulating platelet and endothelial- derived MPs (PMPs and EMPs) in peripheral blood and left atrial blood were detected. Plasma soluble P-selectin (sP-selectin) and von Willebrand factor (vWF) were observed. Diagnostic efficiency was measured using receiver operating characteristic (ROC) curve. RESULTS: Peripheral sP-selectin, vWF and EMPs expressions elevated in all subjects when compared to those in left atrium blood. Levels of sP-selectin and vWF were significantly higher in peripheral blood of LASEC group than those of non LASEC group (p = 0.0018,p = 0.0271). Significant accumulations of peripheral PMPs and EMPs were documented in LASEC group by comparison with non LASEC group (p = 0.0395,p = 0.018). The area under curve(AUC) of combined PMPs and sP-selectin in predicting LASEC was 0.769 (95%CI: 0.678-0.845, sensitivity: 86.49%, specificity: 59.15%), significantly larger than PMPs or sP-selectin alone. CONCLUSIONS: Expressions of PMPs, sP-selectin, EMPs and vWF Increased in NVAF patients with LASEC and that might be potential biomarkers for LASEC prediction.

Association of nonalcoholic fatty liver disease with new-onset atrial fibrillation stratified by age groups.

BACKGROUND: The association between nonalcoholic fatty liver disease (NAFLD) and atrial fibrillation (AF) has been inconsistent, and the impact of hepatic fibrosis on this relationship remains uncertain. We investigated the association between NAFLD and the risk of new-onset AF across different age groups. METHODS: A total of 3,179,582 participants from the 2009 Korean National Health Screening Program were divided into five groups based on NAFLD status: no NAFLD (fatty liver index [FLI] < 30); grade 1 NAFLD without advanced fibrosis (FLI 30-59 & BARD < 2); grade 1 NAFLD with advanced fibrosis (FLI 30-59 & BARD ≥ 2); grade 2 NAFLD without advanced fibrosis (FLI ≥ 60 & BARD < 2); and grade 2 NAFLD with advanced fibrosis (FLI ≥ 60 & BARD ≥ 2). The primary outcome was incident AF. RESULTS: During the median follow-up of 9.3 years, 62,542 patients were diagnosed with new-onset AF. In the age- and sex-adjusted model, the risk of new-onset AF increased across NAFLD grades and fibrosis categories: grade 1 NAFLD without advanced fibrosis (hazard ratio [HR] 1.120, 95% confidence interval [CI]: 1.081-1.161); grade 1 NAFLD with advanced fibrosis (HR 1.275, 95% CI 1.251-1.300); grade 2 NAFLD without advanced fibrosis (HR 1.305, 95% CI: 1.252-1.360); and grade 2 NAFLD with advanced fibrosis (HR 1.627, 95% CI: 1.586-1.670). In the multivariate model, the excess risk of AF in patients with NAFLD and advanced fibrosis remained significant, even in participants aged 20-39 years. CONCLUSION: Patients with NAFLD had a higher risk of new-onset AF, which increased progressively with NAFLD severity, particularly in those aged 20-29 years.

Comparing simultaneous hybrid ablation with stand-alone thoracoscopic surgical ablation for the treatment of non-paroxysmal atrial fibrillation: a prospective randomized controlled trial.

AIMS: Advanced atrial fibrillation (AF) is currently a dilemma for electrophysiologists when choosing a minimally invasive treatment strategy. Previous studies have demonstrated the outcome of either catheter ablation or thoracoscopic surgical ablation (SA) is unsatisfactory in these patients. Whether hybrid ablation (HA) could improve outcomes in these patients is unknown. The purpose of this study was to evaluate the clinical efficacy of HA for the treatment of advanced AF. METHODS AND RESULTS: A randomized controlled trial was designed to enrol patients with persistent AF (PerAF) and enlarged left atrium or long-standing persistent AF (LSPAF) who were randomized to HA or thoracoscopic SA at a 1:1 ratio. The primary endpoint was freedom from any recurrence of AF off antiarrhythmic drugs (AADs) 12 months after operation. The primary endpoint was monitored by 7-day electrocardiogram monitoring devices. One hundred patients were enrolled. The mean age was 58.5 ± 7.6 years, and the mean left atrial diameter (LAD) was 50.1 ± 6.1 mm. At 12 months, freedom from AF off AADs was recorded in 71.4% (35/49) of patients in HA group and 45.8% (22/48) in SA group [odds ratio 2.955, 95% confidence interval (1.275-6.848), P = 0.014]. HA significantly reduced patients' AF burden (30.2% in SA group and 14.8% in HA group, P = 0.048) and the LAD (mean differences: -5.53 ± 4.97 mm in HA group and -3.27 ± 5.20 mm in SA group, P = 0.037) at 12 months after operation. CONCLUSION: In patients with PerAF and enlarged left atrium or LSPAF, HA achieved better freedom from AF after 1 year of follow-up compared with thoracoscopic SA.

Fed-CL- an atrial fibrillation prediction system using ECG signals employing federated learning mechanism.

Deep learning has shown great promise in predicting Atrial Fibrillation using ECG signals and other vital signs. However, a major hurdle lies in the privacy concerns surrounding these datasets, which often contain sensitive patient information. Balancing accurate AFib prediction with robust user privacy remains a critical challenge to address. We suggest Federated Learning , a privacy-preserving machine learning technique, to address this privacy barrier. Our approach makes use of FL by presenting Fed-CL, a advanced method that combines Long Short-Term Memory networks and Convolutional Neural Networks to accurately predict AFib. In addition, the article explores the importance of analysing mean heart rate variability to differentiate between healthy and abnormal heart rhythms. This combined approach within the proposed system aims to equip healthcare professionals with timely alerts and valuable insights. Ultimately, the goal is to facilitate early detection of AFib risk and enable preventive care for susceptible individuals.

The effect of different power radiofrequency ablations in treatment and postoperative pain in patients with atrial fibrillation: a retrospective study.

BACKGROUND: There has been no consensus on what power of radiofrequency energy can be used to produce the best surgical results in patients with atrial fibrillation. In addition, patients undergoing local anesthesia and fentanyl analgesia may experience pain when radiofrequency ablation is performed. This study investigated the effect of different power radiofrequency ablations in treatment and postoperative pain in patients with atrial fibrillation. METHODS: A retrospective study was performed with 60 patients who underwent radiofrequency ablation for atrial fibrillation between January and June 2023. Patients were divided into 2 groups according to the power of the radiofrequency ablation catheter used, with 30 patients in the conventional power group (35 W) and 30 patients in the high-power group (50 W). The cardiac electrophysiological indexes and postoperative pain of the 2 groups were compared. RESULTS: Most of the procedural key parameters between the 2 groups had no significant differences. However, the total application time during radiofrequency ablation and pulmonary vein isolation time in the high-power group were significantly shorter than those in the conventional power group (p < 0.001). Patients in the high-power group reported significantly less pain than those in the conventional power group in the immediate postoperative period and the late postoperative period (p < 0.001). CONCLUSIONS: High-power radiofrequency ablation showed a shorter treatment time, and could reduce postoperative pain compared to conventional power ablation.

Editorial on the article «Natriuretic Peptide Concentrations and Echocardiography Findings in Patients with Micro-atrial Fibrillation¼.

In relation with the published article "Natriuretic Peptide Concentrations and Echocardiography Findings in Patients with Micro-atrial Fibrillation", we have issued a comment. The authors of the article addressed a widely discussed topic of "Short episodes of fast arrhythmias initially detected in records on implantable devices". Further, these episodes are studied already by Holter monitoring of different durations with assessment of their clinical significance. This is the subject of the cited article and our comment.

Natriuretic Peptide Concentrations and Echocardiography Findings in Patients with Micro-atrial Fibrillation.

AIM: Atrial fibrillation (AF) is a rhythm disorder characterized by very rapid and disorganized atrial-derived electrical activations with uncoordinated atrial contractions. Very short periods of AF-like activity (micro-AF) may be precursors of undetected, silent episodes of atrial fibrillation. Here, we examined the relationship between natriuretic peptide concentrations and echocardiography findings in patients with micro-AF. MATERIAL AND METHODS: The electrocardiograms (ECGs) of patients complaining of palpitations were recorded with a 24­hour Holter monitor, and the patients were consecutively included in the study. Micro-AF was defined as sudden, irregular atrial tachycardia lasting less than 30 sec with episodes of ≥5 consecutive supraventricular depolarizations with the absolute absence of p-waves. After a G-power test, patients were consecutively included in the study: 45 patients in the micro-AF group and 45 patients in the control group. Laboratory parameters, ECG and echocardiographic findings of the two groups were compared. RESULTS: N-terminal pro B-type natriuretic peptide (Pro-BNP) and serum troponin T concentrations were higher in the micro-AF group, (375.5±63.6 pg / ml vs. 63.1±56.8 pg / ml, p<0.001; 13±11.4 ng / dl vs. 4.4±2.4 ng / dl, p<0.001 respectively.) Each 1 pg / ml increase in serum Pro-BNP increased the risk of micro-AF by 1.8 %. In the ROC analysis, the cut-off value of Pro-BNP for the diagnosis of micro-AF was 63.4 pg / ml, with a sensitivity of 91.1 % and a specificity of 73.3 %. Atrial electro-mechanical delay durations were significantly higher in the micro-AF group. To predict micro-AF, the inter-annulus plane electromechanical delay time (inter-annulus plane AEMD) had a cut-off value of 18.5 sec, with a sensitivity of 93.3 % and a specificity of 91.1 %. Left intra-annulus plane electro-mechanical delay time (intra-annulus AEMD LEFT) had a cut-off value of 11.5 sec with a 95.6 % sensitivity and 75.6 % specificity. In the ECG evaluation, maximum P wave duration (Pmax) (113±10.2 ms vs. 98±10.4 ms; p<0.001), minimum P wave duration (Pmin) (73.8±5.5 ms vs.70±6.3 ms; p<0.001) and P wave dispersion (PWD) (39.1±7.9 ms vs.28±7.6 ms; p<0.001) were longer in the micro-AF group. CONCLUSIONS: Micro-AF in patients may be predicted by evaluating ECG, echocardiographic, and serum natriuretic peptide data.

Systematic review and meta-analysis of stroke and thromboembolism risk in atrial fibrillation with preserved vs. reduced ejection fraction heart failure.

BACKGROUND: Stroke and thromboembolism (TE) are significant complications in patients with atrial fibrillation (AF) and heart failure (HF). The impact of ejection fraction status on these risks remains unclear. This study aims to compare the risk of stroke and TE in patients with AF and HF with preserved (HFpEF) or reduced (HFrEF) ejection fraction. METHODS: Literature search of PubMed, Embase, and Scopus databases was done for studies in adult (20 years or more) population of AF patients. Included studies had reported on the incidences of stroke and/or TE in patients with AF and associated HF with reduced ejection fraction (HFrEF) and preserved ejection fraction (HFpEF). Cohort (prospective and retrospective), case-control studies, and studies that were based on secondary analysis of data from a trial were eligible for inclusion. Methodological quality was assessed using the Newcastle Ottawa Scale (NOS). Pooled hazard ratio (HR) with 95% confidence intervals (CI) were reported. Exploratory analysis was conducted based on the different cut-offs used to define HFrEF and HFpEF. RESULTS: Twenty studies were analyzed. In the overall analysis, HFrEF in AF patients was associated with a significantly reduced risk of stroke and systemic TE (HR 0.88, 95% CI: 0.81, 0.96; n = 20, I2 = 86.6%), compared to HFpEF. However, most studies showed comparable risk of stroke among the two groups of patients except for two studies that had documented significantly reduced risk. Upon doing the sensitivity analysis by excluding these two studies, we found similar risk among the two group of subjects and with no heterogeneity (HR 1.01, 95% CI: 0.99, 1.03; n = 18, I2 = 0.0%). Exploratory analysis also showed that the risk of stroke and systemic thromboembolism was similar between those with HFpEF and HFrEF. CONCLUSION: The findings suggest that there is no significantly different risk of stroke and systemic thromboembolism in cases of AF with associated HFpEF or HFrEF. The finding does not support integration of left ventricular ejection fraction into stroke risk assessments.

Magnesium sulphate to prevent perioperative atrial fibrillation in cardiac surgery: a randomized clinical trial : A protocol description of the PeriOperative Magnesium Infusion to Prevent Atrial fibrillation Evaluated (POMPAE) trial.

BACKGROUND: Postoperative atrial fibrillation (POAF) is a common and potentially serious complication post cardiac surgery. Hypomagnesaemia is common after cardiac surgery and recent evidence indicates that supplementation of magnesium may prevent POAF. We aim to investigate the effectiveness of continuous intravenous magnesium sulphate administration in the perioperative period to prevent POAF as compared to placebo. METHODS: The (POMPAE) trial is a phase 2, single-center, double-blinded randomized superiority clinical study. It aims to assess the impact of perioperative continuous intravenous magnesium administration on the occurrence of cardiac surgery-related POAF. A total of 530 patients will be included. Eligible patients will be randomized in 1:1 ratio to the intervention or placebo group with stratification based on the presence of valvular surgery. The objective of the infusion is to maintain ionized magnesium levels between 1.5 and 2.0 mmol/L. DISCUSSION: The primary outcome measure is the incidence of de novo POAF within the first 7 days following surgery, with censoring at hospital discharge. This trial may generate crucial evidence for the prevention of POAF and reduce clinical adverse events in patients following cardiac surgery. TRIAL REGISTRATION: The POMPAE trial was registered at ClinicalTrials.gov under the following identifier NTC05669417, https://clinicaltrials.gov/ct2/show/NCT05669417 . Registered on December 30, 2022. PROTOCOL VERSION: Version 3.3, dated 13-01-2023.

Sex-specific association of cardiovascular drug doses with adverse outcomes in atrial fibrillation.

OBJECTIVES: Sex differences occur in atrial fibrillation (AF), including age at first manifestation, pathophysiology, treatment allocation, complication rates and quality of life. However, optimal doses of cardiovascular pharmacotherapy used in women with AF with or without heart failure (HF) are unclear. We investigated sex-specific associations of beta-blocker and renin-angiotensin system (RAS) inhibitor doses with cardiovascular outcomes in patients with AF or AF with concomitant HF. METHODS: We used data from the prospective Basel Atrial Fibrillation and Swiss Atrial Fibrillation cohorts on patients with AF. The outcome was major adverse cardiovascular events (MACEs), including death, myocardial infarction, stroke, systemic embolisation and HF-related hospitalisation. Predictors of interest were spline (primary analysis) or quartiles (secondary analysis) of beta-blocker or RAS inhibitor dose in per cent of the maximum dose (reference), in interaction with sex. Cox models were adjusted for demographics, comorbidities and comedication. RESULTS: Among 3961 patients (28% women), MACEs occurred in 1113 (28%) patients over a 5-year median follow-up. Distributions of RAS inhibitor and beta-blocker doses were similar in women and men. Cox models revealed no association between beta-blocker dose or RAS inhibitor dose and MACE. In a subgroup of patients with AF and HF, the lowest hazard of MACE was observed in women prescribed 100% of the RAS inhibitor dose. However, there was no association between RAS dose quartiles and MACE. CONCLUSIONS: In this study of patients with AF, doses of beta-blockers and RAS inhibitors did not differ by sex and were not associated with MACE overall.

Effect of Ticagrelor Versus Clopidogrel After Off-Pump Coronary Artery Bypass Grafting on Postoperative Atrial Fibrillation: A Cohort Study.

BACKGROUND: This study aimed to explore the effect of a P2Y12 inhibitor regimen on the occurrence of postoperative atrial fibrillation (POAF) after off-pump coronary artery bypass graft surgery in carriers with the cytochrome P450 family 2 subfamily C member19 loss-of-function allele. METHODS AND RESULTS: From May 2019 to November 2023, patients containing the cytochrome P450 family 2 subfamily C member19*2 or *3 allele undergoing elective first-time off-pump coronary artery bypass graft surgery including aspirin 100 mg/d and ticagrelor 180 mg/d (AT group; n=95) versus clopidogrel 75 mg/d (aspirin and clopidogrel group; n=95) were prospectively followed. The primary end point was the cumulative incidence of POAF in a week. The secondary end points were POAF burden, platelet aggregability, systemic immune-inflammation index and heart rate variability. The incidence of POAF was 21.1% in the AT group versus 41.1% in the aspirin and clopidogrel group (hazard ratio, 0.46 [95% CI, 0.27-0.76]; P=0.003). POAF burden, ADP-induced platelet aggregation and systemic immune-inflammation index was notably lower in the AT group than the aspirin and clopidogrel group. Heart rate variability data showed an increase in both high-frequency and SD of normal-to-normal RR intervals in the AT group with a decreased low-frequency/high-frequency ratio, suggesting that the sympathetic/parasympathetic activation was balanced. CONCLUSIONS: In patients carrying the cytochrome P450 family 2 subfamily C member19 loss-of-function allele, an AT regimen after off-pump coronary artery bypass grafting was associated with a lower incidence of POAF, paralleled by lower atrial fibrillation burden, ADP-induced platelet aggregation, lower systemic immune-inflammation index reaction, and a balanced automatic nerve system compared with an aspirin and clopidogrel regimen. Inhibiting the systemic immune-inflammation response and sustaining automatic nerve balance may underlie the therapeutic effect of POAF by a potent antiplatelet combination.

Outcomes of newly diagnosed atrial fibrillation in patients with acute coronary syndromes.

BACKGROUND: Acute coronary syndrome (ACS) is frequently accompanied by newly diagnosed atrial fibrillation (AF). AIMS: We aimed to compare the risk of major adverse cardiovascular events (MACE) in ACS patients presenting with known, newly diagnosed, or no AF. METHODS: In our multicentre, prospective registry study, we included patients with confirmed ACS. Patients are classified as having known, newly diagnosed or no AF. Newly diagnosed AF is subdivided according to the duration of the episode, time of onset, post-coronary artery bypass graft (CABG) or spontaneous occurrence, and treatment with oral anticoagulants (OAC). The primary endpoint is MACE at 1 year. Key secondary endpoints include ischaemic stroke and bleeding complications. RESULTS: Amongst 4,433 patients with confirmed ACS, 3,598 (81.2%) had no AF, 438 (9.9%) had newly diagnosed AF, and 397 (9.0%) had known AF. The rates of OAC treatment at discharge were 53.4% in patients with newly diagnosed AF and 89.2% in patients with known AF. After adjusting for baseline imbalances, only new AF was independently associated with increased rates of MACE, whereas known AF was not (hazard ratio [HR] 1.52, 95% confidence interval [CI]: 1.19-1.90 and HR 0.93, 95% CI: 0.70-1.23). For ACS patients with newly diagnosed AF, episodes lasting >24 hours were associated with a higher risk of MACE compared to episodes <24 hours (HR 1.99, 95% CI: 1.36-2.93). Episodes of new AF occurring post-CABG had more favourable outcomes compared to spontaneously occurring new AF (HR for MACE 0.52, 95% CI: 0.31-0.86). OAC treatment rates were higher in the new AF subcategories with higher rates of MACE and ischaemic stroke. CONCLUSIONS: Newly diagnosed AF in ACS patients was associated with higher rates of MACE and ischaemic stroke compared to ACS patients without or with known AF. Among the ACS patients with new AF, an episode lasting >24 hours was associated with worse outcomes than shorter episodes, while post-CABG occurrence of AF showed relatively better outcomes compared to spontaneously occurring AF. Only 53% of new AF patients were discharged on OAC therapy versus 89% with known AF.