Literature DB >> 1953510

Standardised initial warfarin treatment: evaluation of initial treatment response and maintenance dose prediction by randomised trial, and risk factors for an excessive warfarin response.

C J Doecke1, D G Cosh, A S Gallus.   

Abstract

We report a comparison of warfarin treatment outcomes in 172 inpatients in two general hospitals randomly assigned to commence warfarin therapy by one of two methods; the first where warfarin dosage was determined using a flexible dose induction protocol, and the other where dosage was prescribed empirically by resident medical staff. The mean INR for each treatment day, the mean time to reach a therapeutic level of INR, the mean maintenance dose and the mean time to reach maintenance dose were not significantly different between the protocol and empirical treatment groups. Although the mean observations of warfarin effect were similar between the two groups, there were more patients with excessive warfarin effect (INR greater than 4.0) during empirical treatment. In addition, age and identified complicating factors such as interfering drugs, heart failure or alcohol abuse were significant predictors of excessive warfarin effect, regardless of treatment group. The protocol dose administered on day 4 of treatment, which has been used as a determinant of maintenance dose, predicted maintenance dose to within 1 mg in 57/83 patients (69%, 95% confidence interval: 59-79%). We conclude that as a method for safely and effectively initiating warfarin therapy, this protocol at least matches the empirical prescribing skills of medical staff in a teaching hospital.

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Year:  1991        PMID: 1953510     DOI: 10.1111/j.1445-5994.1991.tb04697.x

Source DB:  PubMed          Journal:  Aust N Z J Med        ISSN: 0004-8291


  10 in total

Review 1.  Evidence-based management of anticoagulant therapy: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence-Based Clinical Practice Guidelines.

Authors:  Anne Holbrook; Sam Schulman; Daniel M Witt; Per Olav Vandvik; Jason Fish; Michael J Kovacs; Peter J Svensson; David L Veenstra; Mark Crowther; Gordon H Guyatt
Journal:  Chest       Date:  2012-02       Impact factor: 9.410

2.  Impact of incorporating ABCB1 and CYP4F2 polymorphisms in a pharmacogenetics-guided warfarin dosing algorithm for the Brazilian population.

Authors:  Letícia C Tavares; Nubia E Duarte; Leiliane R Marcatto; Renata A G Soares; Jose E Krieger; Alexandre C Pereira; Paulo Caleb Junior Lima Santos
Journal:  Eur J Clin Pharmacol       Date:  2018-07-26       Impact factor: 2.953

3.  Effect of Left Ventricular Systolic Dysfunction on Response to Warfarin.

Authors:  Sameer Ather; Aditi Shendre; T Mark Beasley; Todd Brown; Charles E Hill; Sumanth D Prabhu; Nita A Limdi
Journal:  Am J Cardiol       Date:  2016-05-05       Impact factor: 2.778

Review 4.  Quality measures and benchmarking for warfarin therapy.

Authors:  Daniel M Witt
Journal:  J Thromb Thrombolysis       Date:  2011-04       Impact factor: 2.300

5.  Polymorphisms in the VKORC1 gene are strongly associated with warfarin dosage requirements in patients receiving anticoagulation.

Authors:  T Li; L A Lange; X Li; L Susswein; B Bryant; R Malone; E M Lange; T-Y Huang; D W Stafford; J P Evans
Journal:  J Med Genet       Date:  2006-04-12       Impact factor: 6.318

6.  Evaluation of an Initiation Regimen of Warfarin for International Normalized Ratio Target 2.0 to 3.0.

Authors:  Sahimi Mohamed; Chan Mei Fong; Yew Jie Ming; Ahlam Naila Kori; Sopian Abdul Wahab; Zarina Mohd Ali
Journal:  J Pharm Technol       Date:  2021-08-05

7.  Warfarin dose adjustments based on CYP2C9 genetic polymorphisms.

Authors:  Mark W Linder; Stephen Looney; Jesse E Adams; Nancy Johnson; Deborah Antonino-Green; Nichole Lacefield; Bonny L Bukaveckas; Roland Valdes
Journal:  J Thromb Thrombolysis       Date:  2002-12       Impact factor: 2.300

Review 8.  Optimal loading dose of warfarin for the initiation of oral anticoagulation.

Authors:  Kamal R Mahtani; Carl J Heneghan; David Nunan; Clare Bankhead; David Keeling; Alison M Ward; Sian E Harrison; Nia W Roberts; F D Richard Hobbs; Rafael Perera
Journal:  Cochrane Database Syst Rev       Date:  2012-12-12

9.  Identification of clinical factors predicting warfarin sensitivity after cardiac surgery.

Authors:  Karen Tyson; Nevil Hutchinson; Sian Williams; Greg Scutt
Journal:  Ther Adv Drug Saf       Date:  2018-06-05

10.  Factors influencing warfarin response in hospitalized patients.

Authors:  Mahmoud I Abdel-Aziz; Mostafa A Sayed Ali; Ayman K M Hassan; Tahani H Elfaham
Journal:  Saudi Pharm J       Date:  2015-02-27       Impact factor: 4.330

  10 in total

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