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COMPARATIVE STUDY
JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
The patterns of anticoagulation control and the risk of stroke, bleeding and mortality in patients with non-valvular atrial fibrillation.
Journal of Thrombosis and Haemostasis : JTH 2013 January
BACKGROUND: Anticoagulation control is often summarized using the percentage of time spent in a therapeutic range (TTR). This method does not describe the timing and severity of fluctuations in the International Normalised Ratio (INR).
OBJECTIVE: To evaluate whether the TTR method can be improved by considering the patterns of INR over time.
METHODS: The cohort included adults aged 40+ years with atrial fibrillation (AF) and laboratory records of INR as recorded in the UK Clinical Practice Research Datalink. Statistical clustering techniques based on simple INR measures were used to describe the patterns of INR. Nested case-control studies calculated the odds ratios (ORs) for the risk of stroke, bleeding and mortality with TTR and different INR patterns. It was also evaluated whether cluster analyses improved the prediction of outcomes over TTR.
RESULTS: A number of 27 381 patients were studied with a mean age of 73 years. The OR for mortality was 3.76 (95% confidence interval [CI] 3.03-4.68) in patients with < 30% TTR compared with patients with 100% TTR. INR patterns were found to be best described by six different clusters. The cluster with the most unstable pattern was associated with the largest risk of mortality (OR 10.7, 95% CI 8.27-13.85) and stroke (OR 3.42, 95% CI 2.08-5.63). INR measures that predicted death independent of the TTR-included absolute difference between two subsequent INR measurements and change relative to the mean over time.
CONCLUSION: Cluster analysis of INR patterns improved the prediction of clinical outcomes over TTR and may help to identify warfarin users who need additional anticoagulation monitoring.
OBJECTIVE: To evaluate whether the TTR method can be improved by considering the patterns of INR over time.
METHODS: The cohort included adults aged 40+ years with atrial fibrillation (AF) and laboratory records of INR as recorded in the UK Clinical Practice Research Datalink. Statistical clustering techniques based on simple INR measures were used to describe the patterns of INR. Nested case-control studies calculated the odds ratios (ORs) for the risk of stroke, bleeding and mortality with TTR and different INR patterns. It was also evaluated whether cluster analyses improved the prediction of outcomes over TTR.
RESULTS: A number of 27 381 patients were studied with a mean age of 73 years. The OR for mortality was 3.76 (95% confidence interval [CI] 3.03-4.68) in patients with < 30% TTR compared with patients with 100% TTR. INR patterns were found to be best described by six different clusters. The cluster with the most unstable pattern was associated with the largest risk of mortality (OR 10.7, 95% CI 8.27-13.85) and stroke (OR 3.42, 95% CI 2.08-5.63). INR measures that predicted death independent of the TTR-included absolute difference between two subsequent INR measurements and change relative to the mean over time.
CONCLUSION: Cluster analysis of INR patterns improved the prediction of clinical outcomes over TTR and may help to identify warfarin users who need additional anticoagulation monitoring.
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