Use of risk scores for predicting new atrial fibrillation after ischemic stroke or transient ischemic attack—A systematic review. Issue 6 (July 2022)

• Record Type: Journal Article
• Authors: Kishore, Amit K; Hossain, Mohammad J; Cameron, Alan; Dawson, Jesse; Vail, Andy; Smith, Craig J
• Is Part Of: International journal of stroke. Volume 17:Issue 6(2022)
• Page Start: 608
• Page End: 617
• Publication Date: 2022-07
• Subjects: Ischemic stroke -- transient ischemic attack -- risk score -- atrial fibrillation; 616.8005
• DOI: 10.1177/17474930211045880
• Languages: English
• ISSNs: 1747-4930

Abstract

Background: Newly detected atrial fibrillation (NDAF) following an ischemic stroke or transient ischemic attack is often paroxysmal in nature. While challenging to detect, extended electrocardiographic (ECG) monitoring is often used to identify NDAF which has resource implications. Prognostic risk scores have been derived which may stratify the risk of NDAF and inform patient selection for ECG monitoring approaches after ischemic stroke/transient ischemic attack. Aim: The overall aim was to identify risk scores that were derived and/or validated to predict NDAF after ischemic stroke/transient ischemic attack and evaluate their performance. Summary of review: A systematic literature review was undertaken in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, with application of the Quality Assessment of Diagnostic Accuracy-2 tool. Published studies, which derived and validated clinical risk scores in patients with ischemic stroke/transient ischemic attack, or externally validated an existing score to predict NDAF after ischemic stroke/transient ischemic attack, were considered and independently screened by two reviewers. Twenty-one studies involving 23 separate cohorts were analyzed from which 17 integer-based risk scores were identified. The overall frequency of NDAF was 9.7% (95% confidence intervals 8%–11.5%; I 2 = 98%). The performance of the scores varied widely among derivation and validation cohorts (area under the receiver operating characteristic curve (AUC) 0.54–0.94); scores derived from stroke cohorts (12 scores) appeared to perform better (AUC 0.7–0.94) than those derived from non-stroke cohorts (five scores; AUC 0.53–0.79). The scores also varied considerably in their complexity, ascertainment, component variables, participant characteristics, outcome definition, and ease of application limiting their generalizability and utility. Conclusion: Overall, the risk scores identified performed variably in their discriminative ability and the utility of these scores to predict NDAF in clinical practice remains uncertain. Further studies are required using larger prospective cohorts and randomized control trials to evaluate the usefulness of such scores for clinical decision making and preventative intervention.