Prevalence and Risk of Atrial Fibrillation in China: A National Cross-Sectional Epidemiological Study

2021 ◽  
Author(s):  
Shaobo Shi ◽  
Yanhong Tang ◽  
Qingyan Zhao ◽  
Hong Yan ◽  
Bin Yu ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Epidemiological Study ◽  
Cross Sectional

Prevalence of Erectile Dysfunction in Atrial Fibrillation Patients: A Cross-Sectional, Epidemiological Study

2015 ◽  
Vol 39 (1) ◽  
pp. 28-35 ◽  
Author(s):  
ANNA E. PLATEK ◽  
ANNA HRYNKIEWICZ-SZYMANSKA ◽  
MARCIN KOTKOWSKI ◽  
FILIP M. SZYMANSKI ◽  
JOANNA SYSKA-SUMINSKA ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Erectile Dysfunction ◽  
Epidemiological Study ◽  
Cross Sectional

scholarly journals A meta-epidemiological study of subgroup analyses in cochrane systematic reviews of atrial fibrillation

2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Miney Paquette ◽  
Ahlam Mohammed Alotaibi ◽  
Robby Nieuwlaat ◽  
Nancy Santesso ◽  
Lawrence Mbuagbaw
Keyword(s):  
Atrial Fibrillation ◽  
Epidemiological Study ◽  
Systematic Reviews ◽  
Randomized Trials ◽  
Clinical Decision Making ◽  
Meta Analysis ◽  
Cross Sectional ◽  
Cochrane Reviews ◽  
Subgroup Analyses ◽  
Subgroup Effects

Abstract Background Information on subgroup assessments in systematic reviews (SR) of atrial fibrillation (AF) is limited. This review aims to describe subgroup analyses in AF SRs to inform the design of SRs and randomized trials as well as clinical practice. Methods We conducted a cross sectional meta-epidemiological study of Cochrane AF reviews by searching AF (including variants) in the title, abstract, or keyword field without date or language restrictions (Issue 9; September 2018). Two reviewers independently extracted study characteristics to summarize frequency of subgroups pre-specified and conducted and report credibility of subgroup effects claimed. Results Of 39 Cochrane reviews identified, 17 met inclusion criteria (including 168 reports of 127 randomized trials) and the majority (16; 94.1%) conducted meta-analysis of outcomes. Most (13; 76.5%) planned pre-specified subgroup analyses; 7 of which (41.2%) conducted subgroups. In these 7 reviews, 56 subgroups were planned, 17 (30.4%) conducted and 6 (10.7%) yielded subgroup effects. Variables such as co-morbid disease, stroke risk factors, prior stroke/transient ischemic attack, age, race, and sex represented 44% (24 subgroups) of all planned subgroups (8 conducted; 14.3%); however, information on covariate selection was lacking. Overall, more subgroups were planned than conducted (mean difference (95% CI) 2.3 (1.2–3.5, p < 0.001)). Of all subgroups conducted, anticoagulant characteristics comprised a third of all subgroup effects (n = 5, 35.7%). The credibility of subgroups identified (n = 14) was assessed and less than half (43%) represented one of a small number of pre-specified hypothesis and rarely were effects seen within studies (7%). Of 5 reviews that reported subgroup effects, only 3 discussed subgroup effects as part of the overall conclusions; none discussed credibility of subgroup effects. Conclusions This meta-epidemiological review of a subset of Cochrane AF reviews suggests that planning and reporting of subgroup analyses in AF reviews can be improved to better inform clinical management. Most pre-specified subgroup analyses were not performed, important variables (such as stroke, bleeding risk, and other comorbidities) were rarely examined and credibility of subgroup effects claimed was low. Future reviews should aim to identify important subgroups in their protocols and use recommended approaches to test subgroup effects in order to better support clinical decision-making.

scholarly journals Mortality in patients with atrial fibrillation with or without heart failure following hospital discharge

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
A Kartas ◽  
A Samaras ◽  
D Vasdeki ◽  
G Dividis ◽  
G Fotos ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Primary Endpoint ◽  
Cox Regression ◽  
Cross Sectional ◽  
Tertiary Center ◽  
All Cause Mortality ◽  
Endpoint Event ◽  
Secondary Endpoints ◽  
Sectional Analysis

Abstract Background The association of heart failure (HF) with the prognosis of atrial fibrillation (AF) remains unclear. OBJECTIVES To assess all-cause mortality in patients following hospitalization with comorbid AF in relation to the presence of HF. Methods We performed a cross-sectional analysis of data from 977 patients discharged from the cardiology ward of a single tertiary center between 2015 and 2018 and followed for a median of 2 years. The association between HF and the primary endpoint of death from any cause was assessed using multivariable Cox regression. Results HF was documented in 505 (51.7%) of AF cases at discharge, including HFrEF (17.9%), HFmrEF (16.5%) and HFpEF (25.2%). A primary endpoint event occurred in 212 patients (42%) in the AF-HF group and in 86 patients (18.2%) in the AF-no HF group (adjusted hazard ratio [aHR] 2.27; 95% confidence interval [CI], 1.65 to 3.13; P&lt;0.001). HF was associated with a higher risk of the composite secondary endpoint of death from any cause, AF or HF-specific hospitalization (aHR 1.69; 95% CI 1.32 to 2.16 p&lt;0.001). The associations of HF with the primary and secondary endpoints were significant and similar for AF-HFrEF, AF-HFmrEF, AF-HFpEF. Conclusions HF was present in half of the patients discharged from the hospital with comorbid AF. The presence of HF on top of AF was independently associated with a significantly higher risk of all-cause mortality than did absence of HF, irrespective of HF subtype. Funding Acknowledgement Type of funding source: None

Abstract WP226: Short Lasting Runs (<30 sec) of Atrial Fibrillation are More Commonly Observed in Ischemic Stroke Patients in Comparison to Controls

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Ethem Murat Arsava ◽  
Ezgi Yetim ◽  
Ugur Canpolat ◽  
Necla Ozer ◽  
Kudret Aytemir ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Ischemic Stroke ◽  
Multivariate Analyses ◽  
Holter Monitoring ◽  
Female Gender ◽  
Prior History ◽  
Consecutive Series ◽  
Stroke Patients ◽  
Cross Sectional ◽  
History Of

Background: The role of short-lasting (<30 sec) runs of atrial fibrillation (AF) in ischemic stroke pathophysiology is currently unknown. Although these non-sustained attacks are considered as a risk factor for future development of longer lasting, classical AF episodes, prior research has highlighted that associated clinical stroke features are not entirely similar between these two types of arrhythmias. In this study we determined the prevalence of short-lasting AF in stroke-free controls and compared it to a consecutive series of ischemic stroke patients. Methods: A total 235 controls, without any prior history stroke or AF, were evaluated with ECG and 24-hour Holter monitoring for the presence of <30-sec or ≥30-sec lasting AF episodes. The results were compared to a consecutive series of ischemic stroke patients without prior history of AF (n=456). Univariate and multivariate analyses were performed to determine demographic and cardiovascular factors related to <30-sec lasting AF and its association with ischemic stroke. Results: Expectedly, the frequency of newly diagnosed ≥30-sec lasting AF, detected either on ECG or Holter monitoring, was significantly higher in patients with ischemic stroke (18% vs. 2%; p<0.01). Non-sustained AF was positively related to old age (p<0.01), female gender (p=0.01) and hypertension (p<0.01) in univariate analyses. In multivariate analyses, after adjustment for demographic and cardiovascular risk factors, presence of non-sustained AF was significantly higher among both cryptogenic (OR 1.78; 95% CI 1.02-3.10) and non-cryptogenic (OR 1.84; 95% CI 1.15-2.94) stroke patients with respect to controls. Conclusion: Our study shows a higher prevalence of non-sustained AF episodes in ischemic stroke patients in comparison to controls. Whether this cross-sectional association translates into causality in terms of stroke pathophysiology will be the subject of future studies.

Abstract P630: Detection of Atrial Fibrillation by Prolonged Cardiac Monitoring in Cryptogenic and Known Stroke Etiology

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Michal krawczyk ◽  
Sebastián Fridman ◽  
Maria Bres Bullrich ◽  
Palak Shah ◽  
Juan C Vargas-Gonzalez ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Logistic Regression ◽  
Cryptogenic Stroke ◽  
Left Atrial Volume ◽  
Cardiac Monitoring ◽  
Volume Index ◽  
Multivariate Logistic Regression Model ◽  
Stroke Patients ◽  
Cross Sectional ◽  
Therapeutic Decisions

Introduction: Approximately 25% of strokes are classified as cryptogenic (CS), while greater than 50% have an identifiable or ‘known’ etiology (KS). Several studies have demonstrated that prolonged cardiac monitoring (PCM) after cryptogenic stroke substantially increases the detection of atrial fibrillation (AF), but the yield of PCM in KS stroke is unknown. As a result, the majority of guidelines recommend restricting PCM to patients with cryptogenic stroke. If the detection of AF in KS is no different to cryptogenic stroke, it would suggest that this group too would similarly benefit from PCM, with the potential to impact therapeutic decisions (e.g. initiating anticoagulation). Methods: In a cross-sectional study, we compared AF detection by PCM (minimum of 48 hrs) between CS and KS patients without a previous diagnosis of AF. We developed a multivariate logistic regression model by including known and significant clinical, echocardiographic, and radiological factors known to be associated with the detection of AF. We reported results as odds ratios (OR) and 95% confidence intervals (95% CI). Results: We included 561 ischemic stroke patients, 376 with CS and 185 with KS. The median duration of PCM was 167h for CS and 48h for KS. AF was detected in 30 of 376 (8%) CS patients, and 20 of 185 (7.9%) KS patients. Age, history of thyroid disease, clinical presentation of dysarthria, wake-up stroke, and left atrial volume index on echocardiography were significantly associated with a new diagnosis of AF after stroke in the univariable analysis and were thus included in the logistic regression analysis. Additionally, duration of PCM was included in the multivariate model. After adjustment for potential confounders, AF detection by PCM was not significantly higher for CS than KS (OR 0.95, 95% CI 0.25-3.32, P=0.94). Conclusion: To the best of our knowledge this is the first study directly comparing the incidence of AF between CS and KS as the pre-specified primary outcome. Our findings suggest that CS and KS patients have similar rates of AF detection by PCM. Future prospective research is required to confirm these findings and to determine the cost-effectiveness of PCM in non-cryptogenic stroke patients.

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