The effect of treatment strategy on long-term follow-up results in patients with nonvalvular atrial fibrillation in Turkey: AFTER-2 subgroup analysis

Automatic Echocardiographic Assessment of Left Atrial Function for Prediction of Low-Voltage Areas in Non-Valvular Atrial Fibrillation

Purpose

Left atrial low-voltage areas (LA-LVAs) identified by 3D-electroanatomical mapping are crucial for determining treatment strategies and prognosis in patients with atrial fibrillation (AF). However, convenient and accurate prediction of LA-LVAs remains challenging. This study aimed to assess the viability of utilizing automatically obtained echocardiographic parameters to predict the presence of LA-LVAs in patients with non-valvular atrial fibrillation (NVAF).

Patients and Methods

This retrospective study included 190 NVAF patients who underwent initial catheter ablation. Before ablation, echocardiographic data were obtained, left atrial volume and strain were automatically calculated using advanced software (Dynamic-HeartModel and AutoStrain). Electroanatomic mapping (EAM) was also performed. Results were compared between patients with LA-LVAs ≥5% (LVAs group) and <5% (non-LVAs group).

Results

LA-LVAs were observed in 81 patients (42.6%), with a significantly higher incidence in those with persistent AF than paroxysmal AF (55.6% vs 19.3%, P <0.001). Compared with the non-LVAs group, the LVAs group included significantly older patients, lower left ventricular ejection fraction, higher heart rate, and higher E/e' ratio (P <0.05). The LVAs group exhibited higher left atrial volumemax index (LAVimax) and lower left atrial reservoir strain (LASr) (P <0.001). In multivariate analysis, both LAVimax and LASr emerged as independent indicators of LVAs (OR 0.85; 95% CI 0.80-0.90, P<0.001) and (OR 1.15, 95% CI 1.02-1.29, P =0.021). ROC analysis demonstrated good predictive capacity for LA-LVAs, with an AUC of 0.733 (95% CI 0.650-0.794, P <0.001) for LAVimax and 0.839 (95% CI 0.779-0.898, P <0.001) for LASr.

Conclusion

Automatic assessment of LAVimax and LASr presents a promising non-invasive modality for predicting the presence of LA-LVAs and evaluating significant atrial remodeling in NVAF patients. This approach holds potential for aiding in risk stratification and treatment decision-making, ultimately improving clinical outcomes in patients.

Patients with Atrial Fibrillation are Unlikely to Benefit from Aspirin Monotherapy

Background

Aspirin (ASA), the mainstay antiplatelet treatment in patients with cardiovascular disease (CVD), has been received by a considerable number of AF patients. This study sought to examine the association between ASA monotherapy and the risk of major adverse cardiac and cerebrovascular events (MACCE) in patients with atrial fibrillation (AF).

Methods

A total of 850 patients with AF were identified from a community-based Kailuan study. All patients were assigned to two groups according to their medicine history: an aspirin therapy group (ASA group) (n = 174), and a non-aspirin therapy group (non-ASA group) (n = 676). The clinical endpoints are MACCE, including myocardial infarction (MI), ischemic stroke (IS), and hemorrhagic stroke (HS). Incidence curves for MACCE were plotted using the Kaplan-Meier method, and the Log rank test was used to assess the differences in incidence rates. The hazard ratios (HR) and 95% confidence intervals (CI) for MACCE were analyzed using Cox proportional-hazards analysis regression models.

Results

During the 7.2-year follow-up, 30 MACCE occurred in the ASA group, and 101 in the non-ASA group, with a cumulative incidence of 19.88% vs 17.27%, P = 0.511; 3 cases of MI occurred in the ASA group, and 18 cases in the non-ASA group, with a cumulative incidence of 1.78% vs 2.90%, P = 0.305. Twenty-seven cases of IS occurred in the ASA group, and 84 cases in the non-ASA group, with a cumulative incidence of 1.78% vs 2.90%, P = 0.305. Eight cases of HS occurred in the ASA group, and 13 cases in the non-ASA group, with a cumulative incidence of 5.01% vs 2.34%, P = 0.045. Multivariate regression analysis showed that ASA therapy was not associated with MACCE (HR: 1.130, 95% CI: 0.747-1.710, P = 0.562). In addition, ASA therapy was not associated with IS (HR: 1.309, 95% CI: 0.843-2.034, P = 0.231). However, ASA therapy was significantly associated with HS (HR: 2.563, 95% CI: 1.024-6.418, P = 0.044).

Conclusion

ASA monotherapy is not associated with a lower risk of ischemic events, while significantly associated with a higher risk of bleeding events. Patients with AF are unlikely to benefit from aspirin monotherapy.

Association of red cell distribution width/albumin ratio and in hospital mortality in patients with atrial fibrillation base on medical information mart for intensive care IV database

BACKGROUND

Atrial fibrillation (AF) is a common cardiac arrhythmia. The ratio of red cell distribution width (RDW) to albumin has been recognized as a reliable prognostic marker for poor outcomes in a variety of diseases. However, the evidence regarding the association between RDW to albumin ratio (RAR) and in hospital mortality in patients with AF admitted to the Intensive Care Unit (ICU) currently was unclear. The purpose of this study was to explore the association between RAR and in hospital mortality in patients with AF in the ICU.

METHODS

This retrospective cohort study used data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database for the identification of patients with atrial fibrillation (AF). The primary endpoint investigated was in-hospital mortality. Multivariable-adjusted Cox regression analysis and forest plots were utilized to evaluate the correlation between the RAR and in-hospital mortality among patients with AF admitted to ICU. Additionally, receiver operating characteristic (ROC) curves were conducted to assess and compare the predictive efficacy of RDW and the RAR.

RESULTS

Our study included 4,584 patients with AF with a mean age of 75.1 ± 12.3 years, 57% of whom were male. The in-hospital mortality was 20.3%. The relationship between RAR and in-hospital mortality was linear. The Cox proportional hazard model, adjusted for potential confounders, found a high RAR independently associated with in hospital mortality. For each increase of 1 unit in RAR, there is a 12% rise in the in-hospital mortality rate (95% CI 1.06-1.19). The ROC curves revealed that the discriminatory ability of the RAR was better than that of RDW. The area under the ROC curves (AUCs) for RAR and RDW were 0.651 (95%CI: 0.631-0.671) and 0.599 (95% CI: 0.579-0.620).

CONCLUSIONS

RAR is independently correlated with in hospital mortality and in AF. High level of RAR is associated with increased in-hospital mortality rates.

Development and Validation of a New Nomogram Model for Predicting Acute Ischemic Stroke in Elderly Patients with Non-Valvular Atrial Fibrillation: A Single-Center Cross-Sectional Study

Background and Aims

Non-valvular atrial fibrillation (NVAF) patients face a 3-5 times greater risk of acute ischemic stroke (AIS) compared to those without NVAF. This study aims to establish a novel clinical prediction model for AIS in elderly patients with NVAF by incorporating relevant biomarker indicators.

Methods

A total of 301 individuals diagnosed with NVAF were selected for this investigation at the Third Affiliated Hospital of Anhui Medical University. Based on the presence of AIS, patients were categorized into two groups: the Stroke Cohort and the Non-Stroke Cohort. Predictor screening was performed using the least absolute shrinkage and selection operation (LASSO) regression algorithm. The binary logistic regression equation was applied to fit the model, followed by internal validation using the bootstrap resampling method (1000 times). Receiver operating characteristic (ROC) curve, calibration degree curve plots, and clinical decision curve analysis (DCA) were generated, respectively. Finally, a nomogram was constructed to present the prediction model.

Results

The final results of this study revealed that neutrophil-to-lymphocyte ratio (NLR), red cell distribution width (RDW), lipoprotein(a) (Lp(a)), systolic pressure, history of stroke, hyperlipidemia were independent risk factors for AIS in elderly patients with NVAF (P<0.05). And the high-density lipoprotein cholesterol (HDL-C) was an independent protective factor (P<0.05). By incorporating these indicators, a nomogram prediction model for predicting AIS in elderly patients with NVAF was constructed. Comparative analysis between the nomogram predictive model and CHA2DS2-VASc score revealed that the AUC of the nomogram predictive model surpassed that of the CHA2DS2-VASc score (AUC: 0.881vs 0.850).

Conclusion

NLR, RDW, Lp(a), SP, history of stroke, hyperlipidemia, and HDL-C emerge as independent prognostic factors for acute ischemic stroke in elderly patients with non-valvular atrial fibrillation. The predictive utility of the nomogram model may potentially surpass that of the CHA2DS2-VASc scoring system.

Vascular Endothelial Dysfunction and Immunothrombosis in the Pathogenesis of Atrial Fibrillation

Atrial Fibrillation (AF) induces proinflammatory processes which incite vascular endothelial activation and dysfunction. This study seeks to examine the potential relationship between various endothelial, inflammatory, thrombotic, and renin-angiotensin-system (RAS) biomarkers in AF patients.Blood samples were from AF patients (n = 110) prospectively enrolled in this study prior to their first AF ablation. Control plasma samples (n = 100) were used as reference. All samples were analyzed for endothelial (NO, ICAM-1, VEGF, TF, TFPI, TM, Annexin V), inflammatory (IL-6, TNFα, CRP), thrombotic (vWF, tPA, PAI-1, TAFI, D-dimer), and RAS (Renin, Ang-II) biomarkers using ELISA methods. Biomarker average comparisons and Spearman correlations were performed.AF patients showed varying levels of biomarker increase compared to controls. We observed a significant decrease of Ang-II in the AF population relative to controls when stratified for the use of angiotensin-converting enzyme inhibitor (ACEI) or angiotensin II receptor blocker (ARB) upon study enrollment. AF patients showed statistically significant correlations between the following biomarkers: TNFα vs IL-6 (rs = 0.317, p = .004), ICAM-1 vs TNFα (rs = 0.527, p = .012), Annexin V vs VEGF (rs = 0.620, p < .001), CRP vs VEGF (rs = 0.342, p = .031), Ang-II vs tPA (rs = -0.592, p = .010), and tPA vs PAI-1 (rs = 0.672, p < .001).Our study demonstrated significant elevation of endothelial, inflammatory, and thrombotic biomarkers in AF patients compared to controls, with significant correlations between these biomarkers in the AF population. Future investigations are required to better elucidate the mechanistic pathways that lead to endothelial dysfunction and thromboinflammation in AF. This may provide novel therapeutic targets, that in addition to current anticoagulation practices, can best curtail thrombogenicity in AF.

Clinical Characteristics and Treatment Outcomes of Acute Ischemic Stroke with Atrial Fibrillation Among Patients Admitted to Tertiary Care Hospitals in Amhara Regional State: Retrospective-Cohort Study

Background

Atrial fibrillation (AF) is the leading cause of a surge in hospital expenses for the treatment of strokes. However, evidence regarding clinical features and survival of patients admitted with acute ischemic stroke (AIS) plus AF in Ethiopia is lacking.

Objective

We assess clinical characteristics, survival, and predictors of mortality of patients with acute ischemic stroke and atrial fibrillation among patients admitted to Tertiary Care Hospitals in Amhara regional state.

Methods

A retrospective cohort study was done on patients diagnosed with AIS who received care at Tibebe Ghion and Felege Hiwot hospitals from November 2018 to November 2021. Data were analyzed using SPSS version 25. Cox regression analysis was used to identify predictors of in-hospital mortality. Kaplan-Meier analysis was used to identify survival rates and mean survival time. The hazard ratio was used as a measure of the strength of the association and statistical significance was declared at p-value <0.05.

Results

Of 378 patients with AIS, 58.7% were male. AF was diagnosed in 102 (26.9%) patients. Compared with patients without AF, patients with AF were more likely to have Glasgow Coma Scale <8 (83.3 vs 4%), valvular heart disease (56.9 vs 4.7%), and coronary heart disease (11.8 vs 4%). Patients with AF had a significant incidence of in-hospital mortality (38 per 1000 vs 17 per 1000) person-days. Glasgow Coma Scale <8: (AHR=12.69, 95% CI: [2.603-61.873]), aspirational pneumonia (AHR=2.602, 95% CI: 1.085-6.242), acute renal failure (AHR=6.114, 95% CI: [1.817-20.576]), hypokalemia (AHR=1.179, 95% CI: [1.112,-3.373]), atrial fibrillation (AHR=1.104, 95% CI: [1.015-5.404]), HIV/AIDS (AHR=8.302, 95% CI: [1.585-43.502]) and chronic liver disease (AHR=4.969, 95% CI: [1.192-20.704]) were indicators of in-hospital mortality.

Conclusion

In the current study, hospital mortality was greater in AIS associated with atrial fibrillation. Stroke-related complications were significant predictors of mortality. Hence, effective strategies should be in place to curb the impacts of these factors.

Platelet-to-Lymphocyte Ratio Improves the Predictive Ability of the Risk Score for Atrial Fibrillation Recurrence After Radiofrequency Ablation

Purpose

To investigate the effect and comprehensive predictive value of the platelet-to-lymphocyte ratio (PLR) for long-term recurrence in patients with atrial fibrillation (AF) post ablation.

Patients and Methods

We retrospectively analysed 638 consecutive AF patients who underwent ablation, including 302 (47.3%) with paroxysmal AF and 336 (52.7%) with nonparoxysmal AF. Patients were grouped into the recurrence and nonrecurrence groups.

Results

After a mean follow-up of 15.1±9.3 months, 175 patients (27.4%) with AF had long-term recurrence, including 114 patients (33.9%) with nonparoxysmal AF and 61 patients (20.2%) with paroxysmal AF. In the entire cohort and in patients with nonparoxysmal AF, but not in those with paroxysmal AF, the PLR was significantly higher in the recurrence group than in the nonrecurrence group (P<0.05). After adjusting for the APPLE score, the PLR as a continuous variable independently predicted AF recurrence (hazard ratio [HR], 1.003; 95% confidence interval [CI], 1.001-1.005; P<0.01). The addition of the PLR to the APPLE score improved its predictive ability for recurrence (the C-statistic value increased from 0.645 to 0.675, P=0.02; the net reclassification improvement was 0.221, 95% CI 0.049-0.394, P=0.01; and the integrated discrimination improvement was 0.029, 95% CI 0.013-0.045, P<0.01). For nonparoxysmal AF, the PLR was stratified into tertiles, the PLR independently increased the nonparoxysmal AF recurrence risk after adjusting for multiple confounding factors (HR, 1.393; 95% CI, 1.102-1.762; P<0.01), and the addition of the PLR to the left atrial diameter improved its predictive ability for arrhythmia recurrence (the C-statistic value increased from 0.601 to 0.667, P<0.01).

Conclusion

The PLR is an independent predictive factor of long-term AF recurrence post ablation after adjusting for the APPLE score and can improve the predictive ability and clinical usefulness of the APPLE score. However, the PLR is an effective predictor of recurrence in patients with nonparoxysmal AF rather than in paroxysmal AF.

The role of miR1 and miR133a in new-onset atrial fibrillation after acute myocardial infarction

BACKGROUND

The development of new-onset atrial fibrillation (NOAF) after acute myocardial infarction (AMI) is a clinical complication that requires a better understanding of the causative risk factors. This study aimed to explore the risk factors and the expression and function of miR-1 and miR-133a in new atrial fibrillation after AMI.

METHODS

We collected clinical data from 172 patients with AMI treated with emergency percutaneous coronary intervention (PCI) between October 2021 and October 2022. Independent predictors of NOAF were determined using binary logistic univariate and multivariate regression analyses. The predictive value of NOAF was assessed using the area under the receiver operating characteristic (ROC) curve for related risk factors. In total, 172 venous blood samples were collected preoperatively and on the first day postoperatively; the expression levels of miR-1 and miR-133a were determined using the polymerase chain reaction. The clinical significance of miR-1 and miR-133a expression levels was determined by Spearman correlation analysis.

RESULTS

The Glasgow prognostic score, left atrial diameter, and infarct area were significant independent risk factors for NOAF after AMI. We observed that the expression levels of miR-1 and miR-133a were significantly higher in the NOAF group than in the non-NOAF group. On postoperative day 1, strong associations were found between miR-133a expression levels and the neutrophil ratio and between miR-1 expression levels and an increased left atrial diameter.

CONCLUSIONS

Our findings indicate that the mechanism of NOAF after AMI may include an inflammatory response associated with an increased miR-1-related mechanism. Conversely, miR-133a could play a protective role in this clinical condition.