CHADS2 score has a better predictive value than CHA2DS2-VASc score in elderly patients with atrial fibrillation

Clin Interv Aging. 2016 Jul 14:11:941-6. doi: 10.2147/CIA.S105360. eCollection 2016.

Abstract

Aim: The study aims to compare the ability of CHA2DS2-VASc (defined as congestive heart failure, hypertension, age ≥75 years [two scores], type 2 diabetes mellitus, previous stroke, transient ischemic attack, or thromboembolism [TE] [doubled], vascular disease, age 65-74 years, and sex category) and CHADS2 (defined as congestive heart failure, hypertension, age ≥75 years, type 2 diabetes mellitus, previous stroke [doubled]) scores to predict the risk of ischemic stroke (IS) or TE among patients with nonvalvular atrial fibrillation (NVAF).

Methods: A total of 413 patients with NVAF aged ≥65 years, and not on oral anticoagulants for the previous 6 months, were enrolled in the study. The predictive value of the CHA2DS2-VASc and CHADS2 scores for IS/TE events was evaluated by the Kaplan-Meier method.

Results: During a follow-up period of 1.99±1.29 years, 104 (25.2%) patients died and 59 (14.3%) patients developed IS/TE. The CHADS2 score performed better than the CHA2DS2-VASc score in predicting IS/TE as assessed by c-indexes (0.647 vs 0.615, respectively; P<0.05). Non-CHADS2 risk factors, such as vascular disease and female sex, were not found to be predictive of IS/TE (hazard ratio 1.518, 95% CI: 0.832-2.771; hazard ratio 1.067, 95% CI: 0.599-1.899, respectively). No differences in event rates were found in patients with the CHADS2 scores of 1 and 2 (7.1% vs 7.8%). It was observed that patients with a CHADS2 score of ≥3 were most in need of anticoagulation therapy.

Conclusion: In patients with NVAF aged ≥65 years, the CHADS2 score was found to be significantly better in predicting IS/TE events when compared to the CHA2DS2-VASc score. Patients with a CHADS2 score of ≥3 were associated with high risk of IS/TE events.

Keywords: NVAF; elderly; sex; vascular disease.

MeSH terms

  • Aged
  • Atrial Fibrillation / complications*
  • Female
  • Humans
  • Male
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Risk Assessment
  • Risk Factors
  • Stroke / etiology*