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Published on: February 28, 2012
[Clinical applications of dosing algorithm in the predication of warfarin maintenance dose]
Sheng-wen Huang1, Dao-kang Xiang, Bang-quan An
1Department of Laboratory Medicine, Guizhou Provincial People's Hospital, Guiyang, China. hsw713@sina.com
Insights
A genetic-based warfarin dosing algorithm improved warfarin stability in Chinese patients. This approach may shorten the time to reach a stable warfarin dose, demonstrating clinical feasibility.
Area of Science:
- Pharmacogenomics
- Clinical Pharmacology
Background:
- Warfarin dosing requires careful management due to its narrow therapeutic index.
- Genetic factors, including VKORC1 and CYP2C9 polymorphisms, significantly influence warfarin metabolism and response.
- Optimizing warfarin dosing is crucial for patient safety and treatment efficacy.
Purpose of the Study:
- To assess the clinical feasibility of a genetic-based dosing algorithm for predicting warfarin maintenance dose in a Chinese population.
- To evaluate the impact of a pharmacogenomic dosing strategy on the time to achieve a stable international normalized ratio (INR).
Main Methods:
- A cohort of 126 patients undergoing heart valve replacement were enrolled.
- VKORC1 and CYP2C9 genotypes were determined using PCR and melting curve analysis.
- Patients were randomized into a study group (genetically guided dosing) and a control group (standard dosing).
- Warfarin doses were adjusted based on measured INR values, with follow-up for 50 days.
Main Results:
- The proportion of patients achieving a stable warfarin dose within 50 days was higher in the study group (82.4%) compared to the control group (62.5%).
- The mean duration to reach a stable warfarin dose was significantly shorter in the study group (27.5 days) versus the control group (34.7 days) (P=0.012).
- The hazard ratio for reaching a stable dose was 1.786 in the study group, indicating a faster achievement of therapeutic stability.
Conclusions:
- A predicted dosing algorithm incorporating genetic and non-genetic factors can shorten the time to achieve a stable warfarin dose.
- The study validates the clinical feasibility of using a genetic-based dosing algorithm for warfarin therapy in the Chinese population.
Objective:
To evaluate the feasibility of clinical application for genetic based dosing algorithm in the predication of warfarin maintenance dose in Chinese population.
Methods:
The clinical data were collected and blood samples harvested from a total of 126 patients undergoing heart valve replacement. The genotypes of VKORC1 and CYP2C9 were determined by melting curve analysis after PCR. They were divided randomly into the study and control groups. In the study group, the first three doses of warfarin were prescribed according to the predicted warfarin maintenance dose while warfarin was initiated at 2.5 mg/d in the control group. The warfarin doses were adjusted according to the measured international normalized ratio (INR) values. And all subjects were followed for 50 days after an initiation of warfarin therapy.
Results:
At the end of a 50-day follow-up period, the proportions of the patients on a stable dose were 82.4% (42/51) and 62.5% (30/48) for the study and control groups respectively. The mean durations of reaching a stable dose of warfarin were (27.5 ± 1.8) and (34.7 ± 1.8) days and the median durations were (24.0 ± 1.7) and (33.0 ± 4.5) days in the study and control groups respectively. Significant differences existed in the durations of reaching a stable dose between the two groups (P = 0.012). Compared with the control group, the hazard ratio (HR) for the duration of reaching a stable dose was 1.786 in the study group (95%CI 1.088 - 2.875, P = 0.026).
Conclusion:
The predicted dosing algorithm incorporating genetic and non-genetic factors may shorten the duration of achieving efficiently a stable dose of warfarin. And the present study validates the feasibility of its clinical application.
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