Literature DB >> 19874475

Prediction of the warfarin maintenance dose after completion of the 10 mg initiation nomogram: do we really need genotyping?

G Le Gal1, M Carrier, S Tierney, H Majeed, M Rodger, P S Wells.   

Abstract

INTRODUCTION: Initiation of warfarin therapy is complicated by its narrow therapeutic index and inter-patient dose-effect variability. A '10-mg nomogram' warfarin initiation protocol permits safe therapeutic anticoagulation in outpatients started on warfarin. We aimed to develop a safe and effective warfarin maintenance dose prediction tool in these patients.
METHODS: Baseline potential predictor variables were collected on a retrospective cohort of outpatients initiated on warfarin for venous thromboembolism treatment. The primary outcome was the warfarin maintenance dose, defined as mean warfarin dose over the last 10 days of the first month of warfarin treatment. Univariate and multivariate analyses were performed to determine which baseline variables were warfarin maintenance dose predictors. An independent cohort of patients validated the derived warfarin maintenance dose prediction rule.
RESULTS: Patient's age and weight, cumulative dose of warfarin over the first week of induction and international normalized ratio (INR) on days 3, 5 and 8 were statistically significant predictors of the warfarin maintenance dose. Our final prediction rule reads: maintenance dose (in mg) = 2.5 + 10% of the first week cumulative dose - INR value at day 8 + 1.5 if INR was below 2.0 at day 5. In the validation cohort, the predicted dose was strongly correlated with the actual maintenance dose (r = 0.88, P < 0.0001). The mean difference between observed and predicted dose was not clinically significant: -0.1 +/- 1.1 mg.
CONCLUSION: In outpatients initiated on warfarin using a '10-mg nomogram', a simple prediction rule can accurately predict warfarin maintenance dose. Prospective studies employing the rule are indicated.

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Year:  2009        PMID: 19874475     DOI: 10.1111/j.1538-7836.2009.03676.x

Source DB:  PubMed          Journal:  J Thromb Haemost        ISSN: 1538-7836            Impact factor:   5.824


  5 in total

1.  Dosage individualization of warfarin using artificial neural networks.

Authors:  Mohammad I Saleh; Sameh Alzubiedi
Journal:  Mol Diagn Ther       Date:  2014-06       Impact factor: 4.074

2.  Cost-effectiveness of apixaban versus low molecular weight heparin/vitamin k antagonist for the treatment of venous thromboembolism and the prevention of recurrences.

Authors:  Tereza Lanitis; Robert Leipold; Melissa Hamilton; Dale Rublee; Peter Quon; Chantelle Browne; Alexander T Cohen
Journal:  BMC Health Serv Res       Date:  2017-01-23       Impact factor: 2.655

3.  A Simple Formula for Predicting the Maintenance Dose of Warfarin with Reference to the Initial Response to Low Dosing at an Outpatient Clinic.

Authors:  Masaaki Shoji; Shinya Suzuki; Takayuki Otsuka; Takuto Arita; Naoharu Yagi; Hiroaki Semba; Hiroto Kano; Shunsuke Matsuno; Yuko Kato; Tokuhisa Uejima; Yuji Oikawa; Minoru Matsuhama; Junji Yajima; Takeshi Yamashita
Journal:  Intern Med       Date:  2019-09-11       Impact factor: 1.271

Review 4.  A review of a priori regression models for warfarin maintenance dose prediction.

Authors:  Ben Francis; Steven Lane; Munir Pirmohamed; Andrea Jorgensen
Journal:  PLoS One       Date:  2014-12-12       Impact factor: 3.240

5.  A factor VII-based method for the prediction of anticoagulant response to warfarin.

Authors:  Qing-Xi Ooi; Daniel F B Wright; Geoffrey K Isbister; Stephen B Duffull
Journal:  Sci Rep       Date:  2018-08-13       Impact factor: 4.379

  5 in total

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