Literature DB >> 26073321

Determinants of oral anticoagulation control in new warfarin patients: analysis using data from Clinical Practice Research Datalink.

Ana Filipa Macedo1, James Bell2, Ciaran McCarron3, Rachel Conroy4, James Richardson4, Anna Scowcroft3, Tom Sunderland3, Naj Rotheram5.   

Abstract

BACKGROUND: The safety and effectiveness of warfarin therapy depends critically on the quality of anticoagulation control, often assessed using the percentage time in therapeutic International Normalised Ratio (INR) range (TTR). We aimed to identify patient characteristics related to anticoagulation control with warfarin, measured by TTR.
METHOD: We carried out a population-based study using the Clinical Practice Research Datalink, including two cohorts of patients starting warfarin after a first diagnosis of atrial fibrillation (AF) or venous thromboembolism (VTE) between 2000 and 2013. We used multivariate mixed regression and logistic regression models to predict the fully-adjusted effect of each predictor variable upon TTR.
RESULTS: The study population comprised 29,717 incident AF and 19,113 incident VTE patients who initiated warfarin. In real world clinical practice a minority of patients achieve good anticoagulation control with warfarin (44% AF and 36% VTE patients had TTR≥70%). Poor anticoagulation control driven by subtherapeutic INRs was observed in younger patients (<45years) and in AF patients with increased number of hospitalisations. Poor anticoagulation control driven by sub and/or supratherapeutic INRs was seen in AF and VTE patients current smokers, in patients using medications for pain and in VTE patients with active cancer.
CONCLUSION: In a real world clinical practice there is a high amount of unpredictable inter-individual TTR variability and in some patients good anticoagulation control is more challenging than in others. These findings may help to identify patients who will require closer monitoring or innovative strategies to optimise the outcomes of oral anticoagulant therapy.
Copyright © 2015. Published by Elsevier Ltd.

Entities:  

Keywords:  international normalized ratio (INR); oral anticoagulants; predictors; real world data; time in therapeutic range (TTR); warfarin

Mesh:

Substances:

Year:  2015        PMID: 26073321     DOI: 10.1016/j.thromres.2015.06.007

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   3.944


  14 in total

1.  SAMe-TT2R2 predicts quality of anticoagulation in patients with acute venous thromboembolism: The MAQI2 experience.

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
Journal:  Vasc Med       Date:  2017-02-01       Impact factor: 3.239

2.  Time in therapeutic range as a marker for thrombotic and bleeding outcomes in Fontan patients.

Authors:  Jenna M Faircloth; Kristin M Miner; Tarek Alsaied; Nicole Nelson; Julie Ciambarella; Tomoyuki Mizuno; Joseph S Palumbo; Alexander A Vinks; Gruschen R Veldtman
Journal:  J Thromb Thrombolysis       Date:  2017-07       Impact factor: 2.300

3.  Quality of anticoagulation control and hemorrhage risk among African American and European American warfarin users.

Authors:  Nita A Limdi; Todd M Brown; Aditi Shendre; Nianjun Liu; Charles E Hill; Timothy M Beasley
Journal:  Pharmacogenet Genomics       Date:  2017-10       Impact factor: 2.089

4.  Incidence of residual perfusion defects by lung scintigraphy in patients treated with rivaroxaban compared with warfarin for acute pulmonary embolism.

Authors:  Ming Sheng Lim; Dee Nandurkar; Ian Jong; Anita Cummins; Huyen Tran; Sanjeev Chunilal
Journal:  J Thromb Thrombolysis       Date:  2020-02       Impact factor: 2.300

5.  Vitamin K antagonist therapy: changes in the treated populations and in management results in Italian anticoagulation clinics compared with those recorded 20 years ago.

Authors:  Gualtiero Palareti; Emilia Antonucci; Ludovica Migliaccio; Nicoletta Erba; Francesco Marongiu; Vittorio Pengo; Daniela Poli; Sophie Testa; Alberto Tosetto; Armando Tripodi; Marco Moia
Journal:  Intern Emerg Med       Date:  2017-05-13       Impact factor: 3.397

6.  Clinical usefulness of the SAMe-TT2R2 score: A systematic review and simulation meta-analysis.

Authors:  Jasper H A van Miert; Sarah Bos; Nic J G M Veeger; Karina Meijer
Journal:  PLoS One       Date:  2018-03-13       Impact factor: 3.240

7.  Risk factors for medication non-adherence among atrial fibrillation patients.

Authors:  Stephanie R Reading; Mary Helen Black; Daniel E Singer; Alan S Go; Margaret C Fang; Natalia Udaltsova; Teresa N Harrison; Rong X Wei; In-Lu Amy Liu; Kristi Reynolds
Journal:  BMC Cardiovasc Disord       Date:  2019-02-11       Impact factor: 2.298

Review 8.  Prediction Score for Anticoagulation Control Quality Among Older Adults.

Authors:  Kueiyu Joshua Lin; Daniel E Singer; Robert J Glynn; Suzanne Blackley; Li Zhou; Jun Liu; Gina Dube; Lynn B Oertel; Sebastian Schneeweiss
Journal:  J Am Heart Assoc       Date:  2017-10-05       Impact factor: 5.501

9.  Early real-world evidence of persistence on oral anticoagulants for stroke prevention in non-valvular atrial fibrillation: a cohort study in UK primary care.

Authors:  Michelle E Johnson; Cinira Lefèvre; Shuk-Li Collings; David Evans; Sebastian Kloss; Essra Ridha; Andrew Maguire
Journal:  BMJ Open       Date:  2016-09-26       Impact factor: 2.692

10.  Is the time in therapeutic range on coumarins predicted by previous time in therapeutic range?

Authors:  Jasper H A van Miert; Nic J G M Veeger; Karina Meijer
Journal:  Res Pract Thromb Haemost       Date:  2020-03-30
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