The Sex, Age, Medical History, Treatment, Tobacco Use, Race Risk (SAMe TT2R2) Score Predicts Warfarin Control in a Singaporean Population

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Bernaitis, Nijole
Ching, Chi Keong
Chen, Liping
Hon, Jin Shing
Teo, Siew Chong
Davey, Andrew K
Anoopkumar-Dukie, Shailendra
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2017
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Abstract

Background Warfarin reduces stroke risk in atrial fibrillation (AF) patients but requires ongoing monitoring. Time in therapeutic range (TTR) is used as a measure of warfarin control, with a TTR less than 60% associated with adverse patient outcomes. The Sex, Age, Medical history, Treatment, Tobacco use, Race (SAMe-TT2R2) score has been identified as a model able to predict warfarin control, but this has been tested in mainly Caucasian populations. Therefore, the aim of this study was to determine the ability of the SAMe-TT2R2 score to predict warfarin control in a Singaporean population consisting of Chinese, Malay, and Indian race.

Methods Retrospective data were collected from the National Heart Centre Singapore for AF patients receiving warfarin between January and June 2014. The TTR and the SAMe-TT2R2 score were calculated for each patient.

Results The 1137 non-valvular AF patients had a mean TTR of 58.0 ± 34.3% and a median SAMe-TT2R2 score of 3. The categorized SAMe-TT2R2 scores (2 versus >2) showed a significant reduction in mean TTR for the entire population (63.2% versus 55.8%, P = .0004) and also when categorized according to race for Chinese (62.7% versus 56.9%, P = .0075) and Malay (68.4% versus 50.6%, P = .0131) populations.

Conclusion The SAMe-TT2R2 tool is effective in predicting warfarin control in a Singaporean population as patients with a score greater than 2 had poor control. The minimum score for non-Caucasian patients is 2; thus, in these patients, the presence of any additional risk factors identified in the SAMe-TT2R2 tool categorizes them as unlikely to achieve adequate warfarin control and possible candidates for alternative anticoagulants.

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Journal of Stroke and Cerebrovascular Diseases

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26

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1

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Clinical sciences

Clinical sciences not elsewhere classified

Neurosciences

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