Development and validation of a score to detect paroxysmal atrial fibrillation after stroke. (8th January 2019)
- Record Type:
- Journal Article
- Title:
- Development and validation of a score to detect paroxysmal atrial fibrillation after stroke. (8th January 2019)
- Main Title:
- Development and validation of a score to detect paroxysmal atrial fibrillation after stroke
- Authors:
- Uphaus, Timo
Weber-Krüger, Mark
Grond, Martin
Toenges, Gerrit
Jahn-Eimermacher, Antje
Jauss, Marek
Kirchhof, Paulus
Wachter, Rolf
Gröschel, Klaus - Abstract:
- Abstract : Objective: Prolonged monitoring times (72 hours) are recommended to detect paroxysmal atrial fibrillation (pAF) after ischemic stroke but this is not yet clinical practice; therefore, an individual patient selection for prolonged ECG monitoring might increase the diagnostic yield of pAF in a resource-saving manner. Methods: We used individual patient data from 3 prospective studies (ntotal = 1, 556) performing prolonged Holter-ECG monitoring (at least 72 hours) and centralized data evaluation after TIA or stroke in patients with sinus rhythm. Based on the TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis) guideline, a clinical score was developed on one cohort, internally validated by bootstrapping, and externally validated on 2 other studies. Results: pAF was detected in 77 of 1, 556 patients (4.9%) during 72 hours of Holter monitoring. After logistic regression analysis with variable selection, age and the qualifying stroke event (categorized as stroke severity with NIH Stroke Scale [NIHSS] score ⩽5 [odds ratio 2.4 vs TIA; 95% confidence interval 0.8–6.9, p = 0.112] or stroke with NIHSS score >5 [odds ratio 7.2 vs TIA; 95% confidence interval 2.4–21.8, p < 0.001]) were found to be predictive for the detection of pAF within 72 hours of Holter monitoring and included in the final score (Age: 0.76 points/year, Stroke Severity NIHSS ⩽5 = 9 points, NIHSS >5 = 21 points; to Find AF [AS5F]). The high-risk groupAbstract : Objective: Prolonged monitoring times (72 hours) are recommended to detect paroxysmal atrial fibrillation (pAF) after ischemic stroke but this is not yet clinical practice; therefore, an individual patient selection for prolonged ECG monitoring might increase the diagnostic yield of pAF in a resource-saving manner. Methods: We used individual patient data from 3 prospective studies (ntotal = 1, 556) performing prolonged Holter-ECG monitoring (at least 72 hours) and centralized data evaluation after TIA or stroke in patients with sinus rhythm. Based on the TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis) guideline, a clinical score was developed on one cohort, internally validated by bootstrapping, and externally validated on 2 other studies. Results: pAF was detected in 77 of 1, 556 patients (4.9%) during 72 hours of Holter monitoring. After logistic regression analysis with variable selection, age and the qualifying stroke event (categorized as stroke severity with NIH Stroke Scale [NIHSS] score ⩽5 [odds ratio 2.4 vs TIA; 95% confidence interval 0.8–6.9, p = 0.112] or stroke with NIHSS score >5 [odds ratio 7.2 vs TIA; 95% confidence interval 2.4–21.8, p < 0.001]) were found to be predictive for the detection of pAF within 72 hours of Holter monitoring and included in the final score (Age: 0.76 points/year, Stroke Severity NIHSS ⩽5 = 9 points, NIHSS >5 = 21 points; to Find AF [AS5F]). The high-risk group defined by AS5F is characterized by a predicted risk between 5.2% and 40.8% for detection of pAF with a number needed to screen of 3 for the highest observed AS5F points within the study population. Regarding the low number of outcomes before generalization of AS5F, the results need replication. Conclusion: The AS5F score can select patients for prolonged ECG monitoring after ischemic stroke to detect pAF. Classification of evidence: This study provides Class I evidence that the AS5F score accurately identifies patients with ischemic stroke at a higher risk of pAF. … (more)
- Is Part Of:
- Neurology. Volume 92:Number 2(2019)
- Journal:
- Neurology
- Issue:
- Volume 92:Number 2(2019)
- Issue Display:
- Volume 92, Issue 2 (2019)
- Year:
- 2019
- Volume:
- 92
- Issue:
- 2
- Issue Sort Value:
- 2019-0092-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-01-08
- Subjects:
- Neurology -- Periodicals
Neurology -- Periodicals
Neurologie -- Périodiques
616.8 - Journal URLs:
- http://www.mdconsult.com/public/search?search_type=journal&j_sort=pub_date&j_issn=0028-3878 ↗
http://www.mdconsult.com/about/journallist/192093418-5/about0nz0.html ↗
http://www.neurology.org ↗
http://journals.lww.com ↗ - DOI:
- 10.1212/WNL.0000000000006727 ↗
- Languages:
- English
- ISSNs:
- 0028-3878
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6081.500000
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