» Articles » PMID: 21282258

Validation of Risk Stratification Schemes for Predicting Stroke and Thromboembolism in Patients with Atrial Fibrillation: Nationwide Cohort Study

Abstract

Objectives: To evaluate the individual risk factors composing the CHADS(2) (Congestive heart failure, Hypertension, Age ≥ 75 years, Diabetes, previous Stroke) score and the CHA(2)DS(2)-VASc (CHA(2)DS(2)-Vascular disease, Age 65-74 years, Sex category) score and to calculate the capability of the schemes to predict thromboembolism.

Design: Registry based cohort study.

Setting: Nationwide data on patients admitted to hospital with atrial fibrillation. Population All patients with atrial fibrillation not treated with vitamin K antagonists in Denmark in the period 1997-2006.

Main Outcome Measures: Stroke and thromboembolism.

Results: Of 121,280 patients with non-valvular atrial fibrillation, 73,538 (60.6%) fulfilled the study inclusion criteria. In patients at "low risk" (score = 0), the rate of thromboembolism per 100 person years was 1.67 (95% confidence interval 1.47 to 1.89) with CHADS(2) and 0.78 (0.58 to 1.04) with CHA(2)DS(2)-VASc at one year's follow-up. In patients at "intermediate risk" (score = 1), this rate was 4.75 (4.45 to 5.07) with CHADS(2) and 2.01 (1.70 to 2.36) with CHA(2)DS(2)-VASc. The rate of thromboembolism depended on the individual risk factors composing the scores, and both schemes underestimated the risk associated with previous thromboembolic events. When patients were categorised into low, intermediate, and high risk groups, C statistics at 10 years' follow-up were 0.812 (0.796 to 0.827) with CHADS(2) and 0.888 (0.875 to 0.900) with CHA(2)DS(2)-VASc.

Conclusions: The risk associated with a specific risk stratification score depended on the risk factors composing the score. CHA(2)DS(2)-VASc performed better than CHADS(2) in predicting patients at high risk, and those categorised as low risk by CHA(2)DS(2)-VASc were truly at low risk for thromboembolism.

Citing Articles

Prediction models for ischemic stroke and bleeding in dialysis patients: a systematic review and meta-analysis.

Travlos C, Chirgwin-Dasgupta A, Trinh E, Sniderman A, Alam A, Mavrakanas T Clin Kidney J. 2025; 17(12):sfae347.

PMID: 39981320 PMC: 11841370. DOI: 10.1093/ckj/sfae347.


Left atrial size and echocardiographic diastolic parameters as predictors of incident atrial fibrillation in older hospitalized patients.

Yin Y, Li Y, Wang L, Li Q, Liu X, Hu Z Aging Clin Exp Res. 2025; 37(1):38.

PMID: 39953320 PMC: 11828783. DOI: 10.1007/s40520-025-02936-6.


Association between tumour somatic mutations and venous thromboembolism in the 100,000 Genomes Project cancer cohort: a study protocol.

Cornish N, Westbury S, Warkentin M, Thirlwell C, Mumford A, Haycock P Wellcome Open Res. 2025; 9:640.

PMID: 39931111 PMC: 11809147. DOI: 10.12688/wellcomeopenres.23156.1.


Modifiable risk factors and symptom progression in dementia over up to 8 years-Results of the DelpHi-MV trial.

Blotenberg I, Wittstrom F, Michalowsky B, Platen M, Wucherer D, Teipel S Alzheimers Dement (Amst). 2025; 17(1):e70050.

PMID: 39811699 PMC: 11730075. DOI: 10.1002/dad2.70050.


90-day mortality risk related to postoperative potassium levels in patients undergoing coronary bypass surgery.

Kjeldgaard M, Maeng M, Torp-Pedersen C, Sogaard P, Kragholm K, Andreasen J J Mol Cell Cardiol Plus. 2025; 4():100035.

PMID: 39801695 PMC: 11708319. DOI: 10.1016/j.jmccpl.2023.100035.


References
1.
. Comparison of 12 risk stratification schemes to predict stroke in patients with nonvalvular atrial fibrillation. Stroke. 2008; 39(6):1901-10. DOI: 10.1161/STROKEAHA.107.501825. View

2.
van Walraven C, Hart R, Connolly S, Austin P, Mant J, Hobbs F . Effect of age on stroke prevention therapy in patients with atrial fibrillation: the atrial fibrillation investigators. Stroke. 2009; 40(4):1410-6. DOI: 10.1161/STROKEAHA.108.526988. View

3.
Kumler T, Gislason G, Kirk V, Bay M, Nielsen O, Kober L . Accuracy of a heart failure diagnosis in administrative registers. Eur J Heart Fail. 2008; 10(7):658-60. DOI: 10.1016/j.ejheart.2008.05.006. View

4.
Lane D, Lip G . Female gender is a risk factor for stroke and thromboembolism in atrial fibrillation patients. Thromb Haemost. 2009; 101(5):802-5. View

5.
. Independent predictors of stroke in patients with atrial fibrillation: a systematic review. Neurology. 2007; 69(6):546-54. DOI: 10.1212/01.wnl.0000267275.68538.8d. View