A New Approach towards Minimizing the Risk of Misdosing Warfarin Initiation Doses

11Citations
Citations of this article
27Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

It is a challenge to be able to prescribe the optimal initial dose of warfarin. There have been many studies focused on an efficient strategy to determine the optimal initial dose. Numerous clinical, genetic, and environmental factors affect the warfarin dose response. In practice, it is common that the initial warfarin dose is substantially different from the stable maintenance dose, which may increase the risk of bleeding or thrombosis prior to achieving the stable maintenance dose. In order to minimize the risk of misdosing, despite popular warfarin dose prediction models in the literature which create dose predictions solely based on patients' attributes, we have taken physicians' opinions towards the initial dose into consideration. The initial doses selected by clinicians, along with other standard clinical factors, are used to determine an estimate of the difference between the initial dose and estimated maintenance dose using shrinkage methods. The selected shrinkage method was LASSO (Least Absolute Shrinkage and Selection Operator). The estimated maintenance dose was more accurate than the original initial dose, the dose predicted by a linear model without involving the clinicians initial dose, and the values predicted by the most commonly used model in the literature, the Gage clinical model.

Cite

CITATION STYLE

APA

Sharabiani, A., Nutescu, E. A., Galanter, W. L., & Darabi, H. (2018). A New Approach towards Minimizing the Risk of Misdosing Warfarin Initiation Doses. Computational and Mathematical Methods in Medicine, 2018. https://doi.org/10.1155/2018/5340845

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free