Title |
SAMe-TT2R2 predicts quality of anticoagulation in patients with acute venous thromboembolism: The MAQI2 experience
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Published in |
Vascular Medicine, February 2017
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DOI | 10.1177/1358863x16682863 |
Pubmed ID | |
Authors |
Akash Kataruka, Xiaowen Kong, Brian Haymart, Eva Kline-Rogers, Steve Almany, Jay Kozlowski, Gregory D Krol, Scott Kaatz, Michael W McNamara, James B Froehlich, Geoffrey D Barnes |
Abstract |
A high SAMe-TT2R2 score predicted poor warfarin control and adverse events among atrial fibrillation patients. However, the SAMe-TT2R2 score has not been well validated in venous thromboembolism (VTE) patients. A cohort of 1943 warfarin-treated patients with acute VTE was analyzed to correlate the SAMe-TT2R2 score with time in therapeutic range (TTR) and clinical adverse events. A TTR <60% was more frequent among patients with a high (>2) versus low (0-1) SAMe-TT2R2 score (63.4% vs 52.3%, p<0.0001). A high SAMe-TT2R2 score (>2) correlated with increased overall adverse events (7.9 vs 4.5 overall adverse events/100 patient years, p=0.002), driven primarily by increased recurrent VTE rates (4.2 vs 1.5 recurrent VTE/100 patient years, p=0.0003). The SAMe-TT2R2 score had a modest predictive ability for international normalized ratio (INR) quality and adverse clinical events among warfarin-treated VTE patients. The utility of the SAMe-TT2R2 score to guide clinical decision-making remains to be investigated. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 16 | 37% |
Spain | 3 | 7% |
Mexico | 2 | 5% |
Ecuador | 1 | 2% |
Costa Rica | 1 | 2% |
Canada | 1 | 2% |
Malaysia | 1 | 2% |
Saudi Arabia | 1 | 2% |
United Kingdom | 1 | 2% |
Other | 0 | 0% |
Unknown | 16 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 24 | 56% |
Practitioners (doctors, other healthcare professionals) | 12 | 28% |
Scientists | 5 | 12% |
Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 6% |
Unknown | 15 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 25% |
Student > Master | 3 | 19% |
Researcher | 2 | 13% |
Other | 2 | 13% |
Student > Doctoral Student | 1 | 6% |
Other | 1 | 6% |
Unknown | 3 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 44% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 13% |
Unspecified | 1 | 6% |
Agricultural and Biological Sciences | 1 | 6% |
Nursing and Health Professions | 1 | 6% |
Other | 0 | 0% |
Unknown | 4 | 25% |