Abstract P667: Clinical Variables, Electrocardiogram Parameters and Blood Biomarkers Associated With Atrial Fibrillation Detection in the First Year After Ischaemic Stroke - A Systematic Review and Meta-Analysis

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Alan Cameron ◽  
Huen Ki Cheng ◽  
Ren Ping Lee ◽  
Pouria Khashayar ◽  
Mark Hall ◽  
...  

Introduction: Cardiac monitoring is performed to detect atrial fibrillation (AF) after stroke. Identifying patients at high or low risk of AF may allow cardiac monitoring approaches to be tailored on a more personalised basis. We performed a systematic review and meta-analysis to identify variables associated with AF detection after ischaemic stroke. Methods: We followed the Cochrane Collaboration Guidelines and retrieved 8503 studies. After screening, 35 studies were selected and 68 variables were assessed. We assessed 41 clinical variables, 20 ECG parameters and 7 blood biomarkers associated with AF detection >30 seconds duration in the first year after stroke. Comprehensive Meta-analysis software was used to generate an odds ratio and Forest plot for each variable. Studies were assessed for quality using the Quality in Prognostic Studies (QUIPS) tool. Results: The 35 studies included 12010 patients and AF was detected in 1551 patients (13%). Of the 68 variables assessed, 20 were associated with increased odds of AF, 5 were associated with reduced odds of AF and 43 were not associated with AF (Figure 1). The variables most strongly associated with AF detection (odds ratio >3.00) were older age, patients who received IV thrombolytic therapy, maximum P-wave duration, premature atrial complexes, P-wave dispersion, P-wave index, QTc interval and brain natriuretic peptide. Risk of bias was low in 3 studies, moderate in 24 studies and high in 8 studies. Conclusions: We have identified clinically applicable variables that can stratify the probability of AF detection after stroke. Our results will help guide more personalised approaches to cardiac monitoring for AF detection after stroke.

Neurology ◽  
2021 ◽  
pp. 10.1212/WNL.0000000000012769
Author(s):  
Alan Cameron ◽  
Huen Ki Cheng ◽  
Ren-Ping Lee ◽  
Daniel Doherty ◽  
Mark Hall ◽  
...  

Objective:To identify clinical, ECG and blood-based biomarkers associated with atrial fibrillation (AF) detection after ischaemic stroke or transient ischaemic attack (TIA) that could help inform patient selection for cardiac monitoring.Methods:We performed a systematic review and meta-analysis and searched electronic databases for cohort studies from 15/01/2000-15/01/2020. The outcome was AF ≥30 seconds within one year after ischaemic stroke/TIA. We used random effects models to create summary estimates of risk. Risk of bias was assessed using the Quality in Prognostic Studies tool. PROSPERO registration: CRD42020168307.Results:We identified 8503 studies, selected 34 studies and assessed 69 variables (42 clinical, 20 ECG and seven blood-based biomarkers). The studies included 11569 participants and AF was detected in 1478 people (12.8%). Overall, risk of bias was moderate. Variables associated with increased likelihood of AF detection are older age (OR 3.26, 95%CI 2.35-4.54), female sex (OR 1.47, 95%CI 1.23-1.77), a history of heart failure (OR 2.56, 95%CI 1.87-3.49), hypertension (OR 1.42, 95%CI 1.15-1.75) or ischaemic heart disease (OR 1.80, 95%CI 1.34-2.42), higher modified Rankin Scale (OR 6.13, 95%CI 2.93-12.84) or National Institutes of Health Stroke Scale score (OR 2.50, 95%CI 1.64-3.81), no significant carotid/intracranial artery stenosis (OR 3.23, 95%CI 1.14-9.11), no tobacco use (OR 1.93, 95%CI 1.48-2.51), statin therapy (OR 2.07, 95%CI 1.14-3.73), stroke as index diagnosis (OR 1.59, 95%CI 1.17-2.18), systolic blood pressure (OR 1.61, 95%CI 1.16-2.22), intravenous thrombolysis treatment (OR 2.40, 95%CI 1.83-3.16), atrioventricular block (OR 2.12, 95%CI 1.08-4.17), left ventricular hypertrophy (OR 2.21, 95%CI 1.03-4.74), premature atrial contraction (OR 3.90, 95%CI 1.74-8.74), maximum P-wave duration (OR 3.19, 95%CI 1.40-7.25), PR interval (OR 2.32, 95%CI 1.11-4.83), P-wave dispersion (OR 7.79, 95%CI 4.16-14.61), P-wave index (OR 3.44, 95%CI 1.87-6.32), QTc interval (OR 3.68, 95%CI 1.63-8.28), brain natriuretic peptide (OR 13.73, 95%CI 3.31-57.07) and HDL-cholesterol (OR 1.49, 95%CI 1.17-1.88) concentrations. Variables associated with reduced likelihood are minimum P-wave duration (OR 0.53, 95%CI 0.29-0.98), LDL-cholesterol (OR 0.73, 95%CI 0.57-0.93) and triglyceride (OR 0.51, 95%CI 0.41-0.64) concentrations.Discussion:We have identified multi-modal biomarkers that could help guide patient selection for cardiac monitoring after ischaemic stroke/TIA. Their prognostic utility should be prospectively assessed with AF detection and recurrent stroke as outcomes.


2017 ◽  
Vol 2 (4) ◽  
pp. 287-307 ◽  
Author(s):  
Gerard Urimubenshi ◽  
Peter Langhorne ◽  
Dominique A Cadilhac ◽  
Jeanne N Kagwiza ◽  
Olivia Wu

Purpose Translating research evidence into clinical practice often uses key performance indicators to monitor quality of care. We conducted a systematic review to identify the stroke key performance indicators used in large registries, and to estimate their association with patient outcomes. Method We sought publications of recent (January 2000–May 2017) national or regional stroke registers reporting the association of key performance indicators with patient outcome (adjusting for age and stroke severity). We searched Ovid Medline, EMBASE and PubMed and screened references from bibliographies. We used an inverse variance random effects meta-analysis to estimate associations (odds ratio; 95% confidence interval) with death or poor outcome (death or disability) at the end of follow-up. Findings We identified 30 eligible studies (324,409 patients). The commonest key performance indicators were swallowing/nutritional assessment, stroke unit admission, antiplatelet use for ischaemic stroke, brain imaging and anticoagulant use for ischaemic stroke with atrial fibrillation, lipid management, deep vein thrombosis prophylaxis and early physiotherapy/mobilisation. Lower case fatality was associated with stroke unit admission (odds ratio 0.79; 0.72–0.87), swallow/nutritional assessment (odds ratio 0.78; 0.66–0.92) and antiplatelet use for ischaemic stroke (odds ratio 0.61; 0.50–0.74) or anticoagulant use for ischaemic stroke with atrial fibrillation (odds ratio 0.51; 0.43–0.64), lipid management (odds ratio 0.52; 0.38–0.71) and early physiotherapy or mobilisation (odds ratio 0.78; 0.67–0.91). Reduced poor outcome was associated with adherence to swallowing/nutritional assessment (odds ratio 0.58; 0.43–0.78) and stroke unit admission (odds ratio 0.83; 0.77–0.89). Adherence with several key performance indicators appeared to have an additive benefit. Discussion Adherence with common key performance indicators was consistently associated with a lower risk of death or disability after stroke. Conclusion Policy makers and health care professionals should implement and monitor those key performance indicators supported by good evidence.


2019 ◽  
Vol 21 (3) ◽  
pp. 302-311 ◽  
Author(s):  
Georgios Tsivgoulis ◽  
Aristeidis H. Katsanos ◽  
Martin Köhrmann ◽  
Valeria Caso ◽  
Fabienne Perren ◽  
...  

VASA ◽  
2016 ◽  
Vol 45 (4) ◽  
pp. 293-298
Author(s):  
Victoria Gandara ◽  
Fernando Vazquez ◽  
Esteban Gandara

Abstract. Background: The aim of this systematic review and meta-analysis was to evaluate the efficacy of direct oral factor Xa inhibitors for preventing non-central nervous systemic embolism in patients with non-valvular atrial fibrillation. Methods: We conducted a systematic review of the following databases: Ovid Medline, Europubmed, Embase, and the Cochrane Central Register of Controlled Trials, from July 1st 1990 to April 1st, 2015. Randomised controlled trials were included if they reported the outcomes of patients with non-valvular atrial fibrillation treated with a direct oral factor Xa inhibitors compared to a vitamin K antagonist. The primary outcome was objectively confirmed as non-central nervous systemic embolism and ischaemic stroke was the secondary outcome. The random-effects model odds ratio was used as the outcome measure. Results: Our initial search identified 987 relevant articles, of which three satisfied our inclusion criteria and were included. Compared to vitamin K antagonists targeting an INR between 2 and 3, direct oral factor Xa inhibitors alone did not reduce the incidence of non-central nervous systemic embolism [OR 0.63 (95 % CI 0.30 - 1.35)] or ischaemic stroke [OR 1.06 (95 % CI 0.86 - 1.32)]. Conclusions: As a drug class, direct oral factor Xa inhibitors do not reduce the incidence of non-central nervous systemic embolism (or ischaemic stroke) in patients with non-valvular atrial fibrillation. Selecting drugs for the prevention of non-central nervous systemic embolism in patients with non-valvular atrial fibrillation should be based on individual drug efficacy data, rather than class data.


2020 ◽  
Vol 5 (2) ◽  
pp. 155-168
Author(s):  
Antonia Mentel ◽  
Terence J Quinn ◽  
Alan C Cameron ◽  
Kennedy R Lees ◽  
Azmil H Abdul-Rahim

Introduction There is conflicting evidence on the impact of atrial fibrillation (AF) type, i.e. non-paroxysmal AF or paroxysmal AF, on thromboembolic recurrence. The consensus of risk equivalence is greatly based on historical evidence, focussing on initial stroke risks. We conducted a systematic review and meta-analysis to describe the impact of AF type on the risk of thromboembolic recurrence, mortality and major haemorrhage in patients with previous stroke. Methods We systematically searched four multidisciplinary databases from inception to December 2018. We selected observational studies investigating clinical outcomes in patients with ischaemic stroke and AF, stratified by AF type. We assessed all included studies for risk of bias using the ‘Risk of Bias In Non-randomised Studies – of Exposures’ tool. The Comprehensive Meta-Analysis Software was used to calculate odds ratios from crude event rates. Results After reviewing 14,127 citations, we selected 108 studies for full-text screening. We extracted data from a total of 26 studies, reporting outcomes on 23,054 patients. Overall, risk of bias was moderate. The annual incidence rates of thromboembolism in patients with non-paroxysmal AF and paroxysmal AF were 7.1% (95% confidence interval: 4.2–11.7) and 5.2% (95% confidence interval: 3.2–8.2), respectively. The odds ratio for thromboembolism in patients with non-paroxysmal AF versus paroxysmal AF was 1.47 (95% confidence interval: 1.08–1.99, p = 0.013). The annual mortality rates in patients with non-paroxysmal AF and paroxysmal AF were 20.0% (95% confidence interval: 13.2–28.0) and 10.1% (95% confidence interval: 5.4–17.3), respectively, and odds ratio was 1.90 (95% confidence interval: 1.43–2.52, p < 0.001). There was no difference in rates of major haemorrhage, odds ratio  = 1.01 (95% confidence interval: 0.61–1.69, p = 0.966). Conclusion In patients with prior stroke, non-paroxysmal AF is associated with significantly higher risk of thromboembolic recurrence and mortality than paroxysmal AF. Although current guidelines make no distinction between non-paroxysmal AF and paroxysmal AF for secondary stroke prevention, future guidance and risk stratification tools may need to consider this differential risk (PROSPERO ID: CRD42019118531).


Stroke ◽  
2019 ◽  
Vol 50 (Suppl_1) ◽  
Author(s):  
Georgios Tsivgoulis ◽  
Aristeidis H Katsanos ◽  
Martin Köhrmann ◽  
Valeria Caso ◽  
Fabienne Perren ◽  
...  

2016 ◽  
Vol 12 (1) ◽  
pp. 33-45 ◽  
Author(s):  
Eleni Korompoki ◽  
Angela Del Giudice ◽  
Steffi Hillmann ◽  
Uwe Malzahn ◽  
David J Gladstone ◽  
...  

Background and purpose The detection rate of atrial fibrillation has not been studied specifically in transient ischemic attack (TIA) patients although extrapolation from ischemic stroke may be inadequate. We conducted a systematic review and meta-analysis to determine the rate of newly diagnosed atrial fibrillation using different methods of ECG monitoring in TIA. Methods A comprehensive literature search was performed following a pre-specified protocol the PRISMA statement. Prospective observational studies and randomized controlled trials were considered that included TIA patients who underwent cardiac monitoring for >12 h. Primary outcome was frequency of detection of atrial fibrillation ≥30 s. Analyses of subgroups and of duration and type of monitoring were performed. Results Seventeen studies enrolling 1163 patients were included. The pooled atrial fibrillation detection rate for all methods was 4% (95% CI: 2–7%). Yield of monitoring was higher in selected (higher age, more extensive testing for arrhythmias before enrolment, or presumed cardioembolic/cryptogenic cause) than in unselected cohorts (7% vs 3%). Pooled mean atrial fibrillation detection rates rose with duration of monitoring: 4% (24 h), 5% (24 h to 7 days) and 6% (>7 days), respectively. Yield of non-invasive was significantly lower than that of invasive monitoring (4% vs. 11%). Significant heterogeneity was observed among studies (I2=60.61%). Conclusion This first meta-analysis of atrial fibrillation detection in TIA patients finds a lower atrial fibrillation detection rate in TIA than reported for IS and TIA cohorts in previous meta-analyses. Prospective studies are needed to determine actual prevalence of atrial fibrillation and optimal diagnostic procedure for atrial fibrillation detection in TIA.


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