Safety and effectiveness of left atrial appendage closure in atrial fibrillation patients with different types of heart failure.

BACKGROUND: Both atrial fibrillation (AF) and heart failure (HF) are common cardiovascular diseases. If the two exist together, the risk of stroke, hospitalization for HF and all-cause death is increased. Currently, research on left atrial appendage closure (LAAC) in patients with AF and HF is limited and controversial. This study was designed to investigate the safety and effectiveness of LAAC in AF patients with different types of HF. METHODS: Patients with non-valvular atrial fibrillation (NVAF) and HF who underwent LAAC in the First Affiliated Hospital of Army Medical University from August 2014 to July 2021 were enrolled. According to left ventricular ejection fraction (LVEF), the study divided into HF with reduced ejection fraction (LVEF < 50%, HFrEF) group and HF with preserved ejection fraction (LVEF ≥ 50%, HFpEF) group. The data we collected from patients included: gender, age, comorbid diseases, CHA2DS2-VASc score, HAS-BLED score, NT-proBNP level, residual shunt, cardiac catheterization results, occluder size, postoperative medication regimen, transthoracic echocardiography (TTE) results and transesophageal echocardiography (TEE) results, etc. Patients were followed up for stroke, bleeding, device related thrombus (DRT), pericardial tamponade, hospitalization for HF, and all-cause death within 2 years after surgery. Statistical methods were used to compare the differences in clinical outcome of LAAC in AF patients with different types of HF. RESULTS: Overall, 288 NVAF patients with HF were enrolled in this study, including 142 males and 146 females. There were 74 patients in the HFrEF group and 214 patients in the HFpEF group. All patients successfully underwent LAAC. The CHA2DS2-VASc score and HAS-BLED score of HFrEF group were lower than those of HFpEF group. A total of 288 LAAC devices were implanted. The average diameter of the occluders was 27.2 ± 3.5 mm in the HFrEF group and 26.8 ± 3.3 mm in the HFpEF group, and there was no statistical difference between the two groups (P = 0.470). Also, there was no statistically significant difference in the occurrence of residual shunts between the two groups as detected by TEE after surgery (P = 0.341). LVEF was significantly higher in HFrEF group at 3 days, 3 months and 1 year after operation than before (P < 0.001). At 45-60 days after surgery, we found DRT in 9 patients and there were 4 patients (5.4%) in HFrEF group and 5 patients (2.3%) in HFpEF group, with no significant difference between the two groups (P = 0.357). One patient with DRT had stroke. The incidence of stroke was 11.1% in patients with DRT and 0.7% in patients without DRT (P = 0.670). There was one case of postoperative pericardial tamponade, which was improved by pericardiocentesis at 24 h after surgery in the HFpEF group, and there was no significant difference between the two groups (P = 1.000). During a mean follow-up period of 49.7 ± 22.4 months, there were no significant differences in the incidence of stroke, bleeding, DRT and HF exacerbation between the two groups. We found a statistical difference in the improvement of HF between HFrEF group and HFpEF group (P < 0.05). CONCLUSIONS: LAAC is safe and effective in AF patients with different types of HF. The improvement of cardiac function after LAAC is more pronounced in HFrEF group than in HFpEF group.

Association between personality type and patient-reported outcomes (PRO) in patients with atrial fibrillation.

BACKGROUND: Atrial Fibrillation (AF) is known to be associated with a negative emotional state. Patient-reported outcomes (PROs) are important tools for evaluating the endpoints of AF management. This study aims to examine the correlation between personality types and PROs in patients with AF. METHODS: All included subjects were newly diagnosed with AF fewer than one month, and their personality types were assessed using the Eysenck Personality Questionnaire (EPQ). Quality of life (QoL) was measured using the Atrial Fibrillation Effect on Quality of Life (AFEQT) questionnaire. Anxiety and depression were assessed using the General Anxiety Scale (GAD-7) and the 9-item Patient Health Questionnaire (PHQ-9), respectively. We constructed stepwise linear regression analyses for factors related to the QoL and emotional state in patients with AF. RESULTS: A total of 531 AF patients completed the survey and were categorized into four groups based on their personality types. Of these patients (mean age: 67.12 ± 10.93 years, 50.28% male), 357 (67.23%) had paroxysmal AF, and 16.95% (n = 90) had a sanguine personality. Compared to patients with other personality types, those with a sanguine personality had the highest average AFEQT scores (P < 0.001) and the lowest scores of GAD-7 and PHQ-9 scales (P < 0.05). Furthermore, multiple linear regression analyses suggested that sanguine personality was also independently associated with better QoL and emotional states (P < 0.05). CONCLUSION: There is a significant association between the personality types and PROs in AF patients.

Machine learning-based model to predict composite thromboembolic events among Chinese elderly patients with atrial fibrillation.

OBJECTIVE: Accurate prediction of survival prognosis is helpful to guide clinical decision-making. The aim of this study was to develop a model using machine learning techniques to predict the occurrence of composite thromboembolic events (CTEs) in elderly patients with atrial fibrillation(AF). These events encompass newly diagnosed cerebral ischemia events, cardiovascular events, pulmonary embolism, and lower extremity arterial embolism. METHODS: This retrospective study included 6,079 elderly hospitalized patients (≥ 75 years old) with AF admitted to the People's Liberation Army General Hospital in China from January 2010 to June 2022. Random forest imputation was used for handling missing data. In the descriptive statistics section, patients were divided into two groups based on the occurrence of CTEs, and differences between the two groups were analyzed using chi-square tests for categorical variables and rank-sum tests for continuous variables. In the machine learning section, the patients were randomly divided into a training dataset (n = 4,225) and a validation dataset (n = 1,824) in a 7:3 ratio. Four machine learning models (logistic regression, decision tree, random forest, XGBoost) were trained on the training dataset and validated on the validation dataset. RESULTS: The incidence of composite thromboembolic events was 19.53%. The Least Absolute Shrinkage and Selection Operator (LASSO) method, using 5-fold cross-validation, was applied to the training dataset and identified a total of 18 features that exhibited a significant association with the occurrence of CTEs. The random forest model outperformed other models in terms of area under the curve (ACC: 0.9144, SEN: 0.7725, SPE: 0.9489, AUC: 0.927, 95% CI: 0.9105-0.9443). The random forest model also showed good clinical validity based on the clinical decision curve. The Shapley Additive exPlanations (SHAP) showed that the top five features associated with the model were history of ischemic stroke, high triglyceride (TG), high total cholesterol (TC), high plasma D-dimer, age. CONCLUSIONS: This study proposes an accurate model to stratify patients with a high risk of CTEs. The random forest model has good performance. History of ischemic stroke, age, high TG, high TC and high plasma D-Dimer may be correlated with CTEs.

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.

Sex differences in early-onset atrial fibrillation in Norwegian primary care: a retrospective national database analysis.

BACKGROUND: Individual variation in the need for healthcare constitutes knowledge gaps for young atrial fibrillation (AF) patients. We aimed to estimate the prevalence and primary care burden of early-onset AF in Norway, emphasising sex differences, in a nationwide healthcare database. METHODS: We used data from the Norwegian Control and Payment of Health Reimbursement database to identify all Norwegian residents ≥18 years of age registered with a primary care physician (PCP) in 2019, with onset of AF at ≤50 years of age (early-onset AF) in the period 2006-2019. From the accumulated number of early-onset AF cases among current residents, we calculated the prevalence in 2019. The group-level primary care burden was calculated as the total number of annual AF consultations divided by the annual number of AF patients (2014-2018), and individual burden as the mean number of consultations per AF patient per year within the study period. We analysed the distribution of AF consultations between PCP and primary care emergency room (ER) services in total and by sex. RESULTS: We identified 10 925 Norwegian residents with early-onset AF in 2019 (26.3% women, mean age 48.4 years). The prevalence of early-onset AF was 0.34% (women: 0.19%, men: 0.50%). The early-onset AF population had on average one annual primary care consultation for AF. The individual burden of annual AF consultations varied widely; <1: 66% of women and 54% of men, (1-5]: 25% of women and 36% of men, (5-10]: 6% of women and 8% of men, ≥10: 2% of women and 2% of men. A higher proportion of men (71%) than women (38%) attended both PCP and ER services due to AF. CONCLUSIONS: The study confirmed a low prevalence of early-onset AF, with substantial sex differences and individual variation in primary healthcare needs. Our results signal a need for a higher resolution with regard to age groups in future research on burden and sex differences in early-onset AF.

Differences between atrial fibrillation diagnosed before and after stroke: A large real-world cohort study.

The clinical characteristics and long-term outcomes of patients with ischemic stroke (IS) and atrial fibrillation detected after stroke (AFDAS) have not been clearly established. Previous studies evaluating patients with AFDAS were limited by the low prescription rates of anticoagulants and short follow-up periods. Consecutive patients hospitalized for IS between 2014 and 2017 were identified from a National Health Insurance Research Database. The included patients were categorized into three groups: (1) known diagnosis of AF (KAF) before the index stroke, (2) AFDAS, and (3) without AF (non-AF). Univariable and multivariable Cox regression analyses were performed to estimate the hazard ratio (HR) for independent variables and recurrent IS, hemorrhagic stroke, or all-cause mortality. We identified 158,909 patients with IS of whom 16,699 (10.5%) had KAF and 7,826 (4.9%) had AFDAS. The patients with AFDAS were younger, more often male, and had lower CHA2DS2-VASc scores (3.8 ± 1.9 versus 4.9 ± 1.8, p < 0.001) than the patients with KAF. Anticoagulant treatment significantly reduced the risks of all outcomes. The standardized mortality rates were 40.4, 28.6, and 18.4 (per 100 person-years) for the patients with KAF, AFDAS, and non-AF, respectively. Compared with AFDAS, KAF was associated with lower risks of recurrent IS [hazard ratio (HR): 0.91, 95% confidence interval (CI): 0.86-0.97, p < 0.01] and hemorrhagic stroke (HR: 0.88, 95% CI: 0.79-0.99, p < 0.01) and a higher risk of all-cause mortality (HR: 1.11, 95% CI: 1.07-1.16, p < 0.001). The risks of recurrent IS and hemorrhagic stroke were higher and of all-cause mortality was lower for patients with AFDAS than with KAF. There is a strong need to refine treatment modalities to reduce the high mortality in patients with KAF and AFDAS.

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.

Prevalence and associated factors of atrial fibrillation among patients with rheumatic heart disease attending public referral hospitals in Bahir Dar city, Northwest Ethiopia, 2023.

BACKGROUND: Atrial fibrillation (AF) is a supraventricular arrhythmia associated with uncoordinated atrial activation. Atrial fibrillation is complication of rheumatic heart disease and is associated with substantial morbidity and mortality. It is a growing public health problem and economic and social burden. Studies investigating the prevalence and factors associated with atrial fibrillation among chronic rheumatic heart disease patients in Ethiopia are scarce. Therefore, this study aimed to determine the prevalence and factors associated with atrial fibrillation in patients with chronic rheumatic heart disease. METHODS AND MATERIALS: A hospital-based cross-sectional study was conducted. A total of 410 patients were selected using a systematic random sampling method. The data were entered into Epi-Data version 4.6 and subsequently exported to SPSS version 26 software for analysis. A binary logistic regression model was applied to identify significant variables related to AF. RESULTS: In this study, 410 patient charts were reviewed. The prevalence of atrial fibrillation was 43% (95% CI of 38% up to 48%). Male (AOR = 3.81, 95% CI 2.00-7.26), age greater than 30 years (AOR = 7.26, 95% CI 3.93-13.41), heart failure (AOR = 4.65, 95% CI 2.39-9.04), mitral valve stenosis (AOR = 6.36, 95% CI 2.92-13.87), and left atrial diameter enlargement (AOR = 3.41, 95% CI 1.64-7.09) were associated with atrial fibrillation. CONCLUSIONS AND RECOMMENDATIONS: Atrial fibrillation leads patients to frequent hospital admission and increases hospital mortality. As a result, health care professionals need to pay more attention to and apply more clinical treatment for older patients, those with heart failure, those with mitral valve stenosis, and those with left atrial diameter enlargement-associated causes of atrial fibrillation.

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.

Complications of new-onset atrial fibrillation in critically ill COVID-19 patients admitted to the intensive care unit (ICU): a meta-analysis.

BACKGROUND: COVID-19 infections can result in severe acute respiratory distress syndrome (ARDS) requiring admission to the intensive care unit (ICU). Cardiovascular manifestation or exacerbation of cardiovascular diseases could be another complication. Cardiac arrhythmias including New-Onset Atrial Fibrillation (NOAF), have been observed in hospitalized patients with COVID-19 infections. In this analysis, we aimed to systematically compare the complications associated with NOAF in critically ill COVID-19 patients admitted to the ICU. METHODS: MEDLINE, EMBASE, Web of Science, the Cochrane database, http://www. CLINICALTRIALS: gov , Google Scholar and Mendeley were searched for relevant publications based on COVID-19 patients with NOAF admitted to the ICU. Complications including in-hospital mortality, ICU mortality, patients requiring mechanical ventilation, acute myocardial infarction, acute kidney injury, renal replacement therapy and pulmonary embolism were assessed. This is a meta-analysis and the analytical tool which was used was the RevMan software version 5.4. Risk ratios (RR) and 95% confidence intervals (CIs) were used to represent the data post analysis. RESULTS: In critically ill COVID-19 patients with NOAF admitted to the ICU, the risks of ICU mortality (RR: 1.39, 95% CI: 1.07 - 1.80; P = 0.01), in-hospital mortality (RR: 1.56, 95% CI: 1.20 - 2.04; P = 0.001), patients requiring mechanical ventilation (RR: 1.32, 95% CI: 1.04 - 1.66; P = 0.02) were significantly higher when compared to the control group without AF. Acute myocardial infarction (RR: 1.54, 95% CI: 1.31 - 1.81; P = 0.00001), the risk for acute kidney injury (RR: 1.31, 95% CI: 1.11 - 1.55; P = 0.002) and patients requiring renal replacement therapy (RR: 1.83, 95% CI: 1.60 - 2.09; P = 0.00001) were also significantly higher in patients with NOAF. CONCLUSIONS: Critically ill COVID-19 patients with NOAF admitted to the ICU were at significantly higher risks of developing complications and death compared to similar patients without AF.

An Underestimated Cause of Hemoptysis in a 41-Year-Old Man.

CASE PRESENTATION: A 41-year-old man who currently smokes with previous sporadic use of cocaine and cannabinoids was admitted at the hospital suffering from hemoptysis which had developed 4 days before. The patient was on anticoagulant therapy with rivaroxaban due to paroxysmal atrial fibrillation diagnosed in 2018, for which he had undergone pulmonary vein electrical isolation by radiofrequency and ablation of cavotricuspid isthmus in January 2019. The procedure was completed in July 2019. Treatment with flecainide was introduced due to recurrences of atrial fibrillation. In February 2021, a new attempt at ablation was performed by electrical isolation of the left atrial posterior wall. The latest cardiologic checkup documented an echocardiographic framework of mild left atrial dilatation and normal-sized right ventricle with longitudinal shortening index at the lower limits, and a recurrence of asymptomatic atrial fibrillation at Holter ECG (March 2022).

Compressed Deep Learning Models for Wearable Atrial Fibrillation Detection through Attention.

Deep learning (DL) models have shown promise for the accurate detection of atrial fibrillation (AF) from electrocardiogram/photoplethysmography (ECG/PPG) data, yet deploying these on resource-constrained wearable devices remains challenging. This study proposes integrating a customized channel attention mechanism to compress DL neural networks for AF detection, allowing the model to focus only on the most salient time-series features. The results demonstrate that applying compression through channel attention significantly reduces the total number of model parameters and file size while minimizing loss in detection accuracy. Notably, after compression, performance increases for certain model variants in key AF databases (ADB and C2017DB). Moreover, analyzing the learned channel attention distributions after training enhances the explainability of the AF detection models by highlighting the salient temporal ECG/PPG features most important for its diagnosis. Overall, this research establishes that integrating attention mechanisms is an effective strategy for compressing large DL models, making them deployable on low-power wearable devices. We show that this approach yields compressed, accurate, and explainable AF detectors ideal for wearables. Incorporating channel attention enables simpler yet more accurate algorithms that have the potential to provide clinicians with valuable insights into the salient temporal biomarkers of AF. Our findings highlight that the use of attention is an important direction for the future development of efficient, high-performing, and interpretable AF screening tools for wearable technology.

Atrial Fibrillation Prediction Based on Recurrence Plot and ResNet.

Atrial fibrillation (AF) is the most prevalent form of arrhythmia, with a rising incidence and prevalence worldwide, posing significant implications for public health. In this paper, we introduce an approach that combines the Recurrence Plot (RP) technique and the ResNet architecture to predict AF. Our method involves three main steps: using wavelet filtering to remove noise interference; generating RPs through phase space reconstruction; and employing a multi-level chained residual network for AF prediction. To validate our approach, we established a comprehensive database consisting of electrocardiogram (ECG) recordings from 1008 AF patients and 48,292 Non-AF patients, with a total of 2067 and 93,129 ECGs, respectively. The experimental results demonstrated high levels of prediction precision (90.5%), recall (89.1%), F1 score (89.8%), accuracy (93.4%), and AUC (96%) on our dataset. Moreover, when tested on a publicly available AF dataset (AFPDB), our method achieved even higher prediction precision (94.8%), recall (99.4%), F1 score (97.0%), accuracy (97.0%), and AUC (99.7%). These findings suggest that our proposed method can effectively extract subtle information from ECG signals, leading to highly accurate AF predictions.

The effect of non-insulin-based insulin resistance indices on the prediction of recurrence in patients with atrial fibrillation undergoing radiofrequency catheter ablation.

BACKGROUND: Atrial fibrillation (AF) is acknowledged as a disease continuum. Despite catheter ablation being recommended as a primary therapy for AF, the high recurrence rates have tempered the initial enthusiasm. Insulin resistance (IR) has been established as an independent predictor for the onset of AF. However, the correlation between non-insulin-based IR indices and late AF recurrence in patients undergoing radiofrequency catheter ablation remains unknown. METHODS: A retrospective cohort of 910 AF patients who underwent radiofrequency catheter ablation was included in the analysis. The primary endpoint was late AF recurrence during the follow-up period after a defined blank period. The relationship between non-insulin-based IR indices and the primary endpoint was assessed using multivariate Cox hazards regression models and restricted cubic splines (RCS). Additionally, the net reclassification improvement and integrated discrimination improvement index were calculated to further evaluate the additional predictive value of the four IR indices beyond established risk factors for the primary outcome. RESULTS: During a median follow-up period of 12.00 months, 189 patients (20.77%) experienced late AF recurrence, which was more prevalent among patients with higher levels of IR. The multivariate Cox hazards regression analysis revealed a significant association between these IR indices and late AF recurrence. Among the four indices, METS-IR provided the most significant incremental effect on the basic model for predicting late AF recurrence. Multivariable-adjusted RCS curves illustrated a nonlinear correlation between METS-IR and late AF recurrence. In subgroup analysis, METS-IR exhibited a significant correlation with late AF recurrence in patients with diabetes mellitus (HR: 1.697, 95% CI 1.397 - 2.063, P < 0.001). CONCLUSION: All the four non-insulin-based IR indices were significantly associated with late AF recurrence in patients undergoing radiofrequency catheter ablation. Addressing IR could potentially serve as a viable strategy for reducing the late AF recurrence rate.

Early anti-coagulation therapy in new-onset atrial fibrillation after coronary artery bypass grafting: a randomized trial pilot study.

BACKGROUND: New-onset postoperative atrial fibrillation (POAF) is a common complication after coronary artery bypass grafting (CABG) surgery, increasing the risk of embolism and stroke. There is a lack of information on the use of anticoagulants in this context. The choice between Warfarin and Direct oral anticoagulants (DOACs) also is not well-established. This randomized study aimed to compare the feasibility and safety of Warfarin and Rivaroxaban in preventing thrombotic events in POAF patients after isolated CABG. METHODS: A total of 66 patients were randomized parallelly with 1:1 allocation to receive either Rivaroxaban (n = 34) or Warfarin (n = 32). Major bleeding events within 30 days after discharge were the primary outcome. Secondary outcomes included minor bleeding events and thrombotic episodes. Clinical characteristics, medication regimens, and left atrial diameter were assessed. Statistical analyses were performed using appropriate tests. RESULTS: No thrombotic episodes were observed in either treatment arm. No major bleeding events occurred in either group. Four minor bleeding events were reported, with no significant difference between the treatment groups (P = 0.6). Patients with atrial fibrillation had significantly larger left atrial diameters compared to those with normal sinus rhythm (40.5 vs. 37.8 mm, P = 0.01). CONCLUSIONS: This pilot study suggests that Warfarin and Rivaroxaban are both safe and effective for preventing thrombotic episodes in POAF patients after isolated CABG. No significant differences in major bleeding events were observed between the two anticoagulants. These findings may support the preference for DOACs like Rivaroxaban due to their convenience and easier maintenance. TRIAL REGISTRATION: Number IRCT20200304046696N1, Date 18/03/2020 https//irct.behdasht.gov.ir/ .

Identification of potential biomarkers for atrial fibrillation and stable coronary artery disease based on WGCNA and machine algorithms.

BACKGROUND: Patients with atrial fibrillation (AF) often have coronary artery disease (CAD), but the biological link between them remains unclear. This study aims to explore the common pathogenesis of AF and CAD and identify common biomarkers. METHODS: Gene expression profiles for AF and stable CAD were downloaded from the Gene Expression Omnibus database. Overlapping genes related to both diseases were identified using weighted gene co-expression network analysis (WGCNA), followed by functional enrichment analysis. Hub genes were then identified using the machine learning algorithm. Immune cell infiltration and correlations with hub genes were explored, followed by drug predictions. Hub gene expression in AF and CAD patients was validated by real-time qPCR. RESULTS: We obtained 28 common overlapping genes in AF and stable CAD, mainly enriched in the PI3K-Akt, ECM-receptor interaction, and relaxin signaling pathway. Two hub genes, COL6A3 and FKBP10, were positively correlated with the abundance of MDSC, plasmacytoid dendritic cells, and regulatory T cells in AF and negatively correlated with the abundance of CD56dim natural killer cells in CAD. The AUCs of COL6A3 and FKBP10 were all above or close to 0.7. Drug prediction suggested that collagenase clostridium histolyticum and ocriplasmin, which target COL6A3, may be potential drugs for AF and stable CAD. Additionally, COL6A3 and FKBP10 were upregulated in patients with AF and CAD. CONCLUSION: COL6A3 and FKBP10 may be key biomarkers for AF and CAD, providing new insights into the diagnosis and treatment of this disease.