Evaluation of the predictive performance of Bayesian dosing for warfarin in Chinese patients.
Pharmacogenomics
; 20(3): 167-177, 2019 02.
Article
in En
| MEDLINE
| ID: mdl-30777785
ABSTRACT
AIM:
To evaluate the accuracy and predictive performance of Bayesian dosing for warfarin in Chinese patients. MATERIALS &METHODS:
Six multiple linear regression algorithms (Wei, Lou, Miao, Huang, Gage and IWPC) and a Bayesian method implemented in Warfarin Dose Calculator were compared with each other.RESULTS:
Six multiple linear regression warfarin dosing algorithms had similar predictive ability, except Miao and Lou. The mean prediction error of Bayesian priori and posteriori method were 0.01 mg/day (95% CI -0.18 to 0.19) and 0.17 mg/day (95% CI -0.05 to 0.29), respectively, and Bayesian posteriori method demonstrated better performance in all dose ranges.CONCLUSION:
The Bayesian method showed a good potential for warfarin maintenance dose prediction in Chinese patients requiring less than 6 mg/day.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Pharmacogenetics
/
Warfarin
/
Dose-Response Relationship, Drug
/
Anticoagulants
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Adult
/
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
Language:
En
Journal:
Pharmacogenomics
Journal subject:
FARMACOLOGIA
/
GENETICA MEDICA
Year:
2019
Document type:
Article