Biomarkers for Atrial Fibrillation Detection After Stroke: Systematic Review and Meta-analysis.


Journal

Neurology
ISSN: 1526-632X
Titre abrégé: Neurology
Pays: United States
ID NLM: 0401060

Informations de publication

Date de publication:
02 11 2021
Historique:
received: 03 03 2021
accepted: 18 08 2021
pubmed: 11 9 2021
medline: 8 4 2022
entrez: 10 9 2021
Statut: ppublish

Résumé

To identify clinical, ECG, and blood-based biomarkers associated with atrial fibrillation (AF) detection after ischaemic stroke or TIA that could help inform patient selection for cardiac monitoring. We performed a systematic review and meta-analysis and searched electronic databases for cohort studies from January 15, 2000, to January 15, 2020. The outcome was AF ≥30 seconds within 1 year after ischemic 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. We identified 8,503 studies, selected 34 studies, and assessed 69 variables (42 clinical, 20 ECG, and 7 blood-based biomarkers). The studies included 11,569 participants and AF was detected in 1,478 (12.8%). Overall, risk of bias was moderate. Variables associated with increased likelihood of AF detection are older age (odds ratio [OR] 3.26, 95% confidence interval [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 ischemic 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), IV 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 high-density lipoprotein 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), low-density lipoprotein cholesterol (OR 0.73, 95% CI 0.57-0.93), and triglyceride (OR 0.51, 95% CI 0.41-0.64) concentrations. We identified multimodal 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.

Sections du résumé

BACKGROUND AND OBJECTIVE
To identify clinical, ECG, and blood-based biomarkers associated with atrial fibrillation (AF) detection after ischaemic stroke or 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 January 15, 2000, to January 15, 2020. The outcome was AF ≥30 seconds within 1 year after ischemic 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.
RESULTS
We identified 8,503 studies, selected 34 studies, and assessed 69 variables (42 clinical, 20 ECG, and 7 blood-based biomarkers). The studies included 11,569 participants and AF was detected in 1,478 (12.8%). Overall, risk of bias was moderate. Variables associated with increased likelihood of AF detection are older age (odds ratio [OR] 3.26, 95% confidence interval [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 ischemic 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), IV 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 high-density lipoprotein 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), low-density lipoprotein cholesterol (OR 0.73, 95% CI 0.57-0.93), and triglyceride (OR 0.51, 95% CI 0.41-0.64) concentrations.
DISCUSSION
We identified multimodal 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.

Identifiants

pubmed: 34504030
pii: WNL.0000000000012769
doi: 10.1212/WNL.0000000000012769
doi:

Substances chimiques

Biomarkers 0
Natriuretic Peptide, Brain 114471-18-0

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1775-e1789

Informations de copyright

© 2021 American Academy of Neurology.

Auteurs

Alan Cameron (A)

From the Institute of Cardiovascular and Medical Sciences (A.C., H.K.C., R.-P.L., D.D., M.H., P.K., T.Q., J.D.) and Institute of Neuroscience and Psychology (A.A.-R.), University of Glasgow, UK; Faculty of Medicine (H.K.C.), University of Hong Kong, Pokfulam; and Liverpool Centre for Cardiovascular Science (G.L.), University of Liverpool, UK. alan.cameron.2@glasgow.ac.uk.

Huen Ki Cheng (HK)

From the Institute of Cardiovascular and Medical Sciences (A.C., H.K.C., R.-P.L., D.D., M.H., P.K., T.Q., J.D.) and Institute of Neuroscience and Psychology (A.A.-R.), University of Glasgow, UK; Faculty of Medicine (H.K.C.), University of Hong Kong, Pokfulam; and Liverpool Centre for Cardiovascular Science (G.L.), University of Liverpool, UK.

Ren-Ping Lee (RP)

From the Institute of Cardiovascular and Medical Sciences (A.C., H.K.C., R.-P.L., D.D., M.H., P.K., T.Q., J.D.) and Institute of Neuroscience and Psychology (A.A.-R.), University of Glasgow, UK; Faculty of Medicine (H.K.C.), University of Hong Kong, Pokfulam; and Liverpool Centre for Cardiovascular Science (G.L.), University of Liverpool, UK.

Daniel Doherty (D)

From the Institute of Cardiovascular and Medical Sciences (A.C., H.K.C., R.-P.L., D.D., M.H., P.K., T.Q., J.D.) and Institute of Neuroscience and Psychology (A.A.-R.), University of Glasgow, UK; Faculty of Medicine (H.K.C.), University of Hong Kong, Pokfulam; and Liverpool Centre for Cardiovascular Science (G.L.), University of Liverpool, UK.

Mark Hall (M)

From the Institute of Cardiovascular and Medical Sciences (A.C., H.K.C., R.-P.L., D.D., M.H., P.K., T.Q., J.D.) and Institute of Neuroscience and Psychology (A.A.-R.), University of Glasgow, UK; Faculty of Medicine (H.K.C.), University of Hong Kong, Pokfulam; and Liverpool Centre for Cardiovascular Science (G.L.), University of Liverpool, UK.

Pouria Khashayar (P)

From the Institute of Cardiovascular and Medical Sciences (A.C., H.K.C., R.-P.L., D.D., M.H., P.K., T.Q., J.D.) and Institute of Neuroscience and Psychology (A.A.-R.), University of Glasgow, UK; Faculty of Medicine (H.K.C.), University of Hong Kong, Pokfulam; and Liverpool Centre for Cardiovascular Science (G.L.), University of Liverpool, UK.

Gregory Y H Lip (GYH)

From the Institute of Cardiovascular and Medical Sciences (A.C., H.K.C., R.-P.L., D.D., M.H., P.K., T.Q., J.D.) and Institute of Neuroscience and Psychology (A.A.-R.), University of Glasgow, UK; Faculty of Medicine (H.K.C.), University of Hong Kong, Pokfulam; and Liverpool Centre for Cardiovascular Science (G.L.), University of Liverpool, UK.

Terence Quinn (T)

From the Institute of Cardiovascular and Medical Sciences (A.C., H.K.C., R.-P.L., D.D., M.H., P.K., T.Q., J.D.) and Institute of Neuroscience and Psychology (A.A.-R.), University of Glasgow, UK; Faculty of Medicine (H.K.C.), University of Hong Kong, Pokfulam; and Liverpool Centre for Cardiovascular Science (G.L.), University of Liverpool, UK.

Azmil Abdul-Rahim (A)

From the Institute of Cardiovascular and Medical Sciences (A.C., H.K.C., R.-P.L., D.D., M.H., P.K., T.Q., J.D.) and Institute of Neuroscience and Psychology (A.A.-R.), University of Glasgow, UK; Faculty of Medicine (H.K.C.), University of Hong Kong, Pokfulam; and Liverpool Centre for Cardiovascular Science (G.L.), University of Liverpool, UK.

Jesse Dawson (J)

From the Institute of Cardiovascular and Medical Sciences (A.C., H.K.C., R.-P.L., D.D., M.H., P.K., T.Q., J.D.) and Institute of Neuroscience and Psychology (A.A.-R.), University of Glasgow, UK; Faculty of Medicine (H.K.C.), University of Hong Kong, Pokfulam; and Liverpool Centre for Cardiovascular Science (G.L.), University of Liverpool, UK.

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