Literature DB >> 28160278

Warfarin Dosing Algorithms Underpredict Dose Requirements in Patients Requiring ≥7 mg Daily: A Systematic Review and Meta-analysis.

S M Saffian1,2, S B Duffull1, Dfb Wright1.   

Abstract

There is preliminary evidence to suggest that some published warfarin dosing algorithms produce biased maintenance dose predictions in patients who require higher than average doses. We conducted a meta-analysis of warfarin dosing algorithms to determine if there exists a systematic under- or overprediction of dose requirements for patients requiring ≥7 mg/day across published algorithms. Medline and Embase databases were searched up to September 2015. We quantified the proportion of over- and underpredicted doses in patients whose observed maintenance dose was ≥7 mg/day. The meta-analysis included 47 evaluations of 22 different warfarin dosing algorithms from 16 studies. The meta-analysis included data from 1,492 patients who required warfarin doses of ≥7 mg/day. All 22 algorithms were found to underpredict warfarin dosing requirements in patients who required ≥7 mg/day by an average of 2.3 mg/day with a pooled estimate of underpredicted doses of 92.3% (95% confidence interval 90.3-94.1, I2 = 24%).
© 2017 American Society for Clinical Pharmacology and Therapeutics.

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Year:  2017        PMID: 28160278     DOI: 10.1002/cpt.649

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  11 in total

1.  Warfarin dose requirement in patients having severe thrombosis or thrombophilia.

Authors:  Tuukka A Helin; Lotta Joutsi-Korhonen; Heidi Asmundela; Mikko Niemi; Arto Orpana; Riitta Lassila
Journal:  Br J Clin Pharmacol       Date:  2019-06-17       Impact factor: 4.335

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.  Interpretation of the effect of CYP2C9, VKORC1 and CYP4F2 variants on warfarin dosing adjustment in Turkey.

Authors:  Ahmet Kocael; Allison Pınar Eronat; Mete Bora Tüzüner; Ahmet Ekmekçi; Ahmet Lütfullah Orhan; İbrahim İkizceli; Hülya Yılmaz-Aydoğan; Oğuz Öztürk
Journal:  Mol Biol Rep       Date:  2019-02-02       Impact factor: 2.316

4.  The Prediction Model of Warfarin Individual Maintenance Dose for Patients Undergoing Heart Valve Replacement, Based on the Back Propagation Neural Network.

Authors:  Qian Li; Jing Wang; Huan Tao; Qin Zhou; Jie Chen; Bo Fu; WenZhe Qin; Dong Li; JiangLong Hou; Jin Chen; Wei-Hong Zhang
Journal:  Clin Drug Investig       Date:  2020-01       Impact factor: 2.859

Review 5.  Pharmacogenomics of CYP2C9: Functional and Clinical Considerations.

Authors:  Ann K Daly; Allan E Rettie; Douglas M Fowler; John O Miners
Journal:  J Pers Med       Date:  2017-12-28

6.  Development and Validation of a Novel Warfarin Dosing Algorithm for Korean Patients With VKORC1 1173C.

Authors:  Eun Hye Cho; Kyunghoon Lee; Mina Yang; Rihwa Choi; Sun Young Baek; Insuk Sohn; June Soo Kim; Young Keun On; Oh Young Bang; Hyun Jung Cho; Soo Youn Lee
Journal:  Ann Lab Med       Date:  2020-05       Impact factor: 3.464

7.  Warfarin maintenance dose prediction for Chinese after heart valve replacement by a feedforward neural network with equal stratified sampling.

Authors:  Weijie Ma; Hongying Li; Li Dong; Qin Zhou; Bo Fu; Jiang-Long Hou; Jing Wang; Wenzhe Qin; Jin Chen
Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

8.  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

Review 9.  Warfarin: The End or the End of One Size Fits All Therapy?

Authors:  Munir Pirmohamed
Journal:  J Pers Med       Date:  2018-06-28

10.  DBCSMOTE: a clustering-based oversampling technique for data-imbalanced warfarin dose prediction.

Authors:  Yanyun Tao; Yuzhen Zhang; Bin Jiang
Journal:  BMC Med Genomics       Date:  2020-10-22       Impact factor: 3.063

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