Clinical Trial Details
— Status: Completed
Administrative data
NCT number |
NCT03911661 |
Other study ID # |
00115634 |
Secondary ID |
|
Status |
Completed |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
November 20, 2018 |
Est. completion date |
December 31, 2021 |
Study information
Verified date |
May 2023 |
Source |
University of Utah |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
This study aims to explore the feasibility of a novel, patient-specific algorithm for
adjusting warfarin doses during chronic anticoagulation therapy. Specifically investigators
are interested in determining whether patients can use this algorithm to assume
responsibility for managing their own warfarin therapy including making independent decisions
about their warfarin dose and when to retest their next international normalized ratio (INR)
test based on the result of their current INR result obtained using a point-of-care INR
monitor.
Description:
Vitamin K antagonists (VKA) such as warfarin are very effective anticoagulants for the
prevention of thrombosis. However, warfarin is also a leading cause of emergency room visits
and hospitalizations for bleeding complications. A laboratory test of coagulation, the
prothrombin time (PT), is used to monitor warfarin's anticoagulant effect on the hemostatic
system. For warfarin monitoring the PT is expressed as an international normalized ratio
(INR) to reduce the impact of interlaboratory PT variation. For individuals not on warfarin,
the INR is about 1.0 while most patients on VKA require an INR between 2.0 and 3.0 to best
balance the competing risks of thromboembolism and bleeding.
The INR response to warfarin can fluctuate as a result of changes in health status,
interactions with other drugs, changes in dietary vitamin K intake, alcohol consumption, as
well as for no apparent reason. In addition, the response to a change in warfarin dose varies
between patients as does the time required for the INR response to reach steady state. A
substantial proportion of patients treated with warfarin have stable INRs and remain on the
same weekly maintenance dose month after month. Patients with variable INRs resulting in a
low proportion of time in therapeutic INR range (TTR) have a higher risk of both bleeding
complications and thromboembolic events. Good TTR is generally considered to be over 60% and
TTR above 72% is considered excellent. One quarter to one third of patients have unstable INR
results and require more frequent monitoring and warfarin dosing adjustments. This is
demanding for patients and also for health care systems. Many of these patients remain
unstable even when drug interactions, irregular dietary vitamin K intake, and missed warfarin
doses have been excluded indicating the need for improved approaches to adjusting VKA doses
in response to out-of-range INRs.
Interventions aimed at improving INR stability during warfarin therapy have been
investigated. Using warfarin dosing algorithms is one intervention associated with improved
INR stability and decreased risk for thromboembolic and bleeding complications and lower
mortality. Patient self-management (PSM) of warfarin therapy using INRs obtained by patients
in their home environment using point-of-care INR monitoring devices has also been shown to
improve INR stability and decrease the risk of thromboembolic complications and mortality.
Unfortunately, the US healthcare system lags behind other countries in widespread adoption of
these evidence-based interventions for improving warfarin therapeutic outcomes.
Potential explanations for the underutilization of warfarin dosing algorithms and PSM include
mistrust of algorithms among anticoagulation providers, complexity associated with algorithm
use, lack of algorithm validation, and the effort required to train patients in
self-management. As most patients receiving warfarin therapy in the US are outside the
targeted INR range approximately 40% of the time, there is a critical need for approaches
that remove barriers to adopting proven interventions like using warfarin dosing algorithms
and PSM.
The Fearon Algorithm Mike Fearon, PhD has developed a patient-individualized warfarin dosing
algorithm (the Fearon Algorithm [FA]) to predict INR results using parameters derived from
the patient's prior warfarin dosing history. Key FA parameters not available with existing
warfarin dosing algorithms include: 1) warfarin dose sensitivity (i.e. the likely change in
INR from an increment change in warfarin dose), 2) optimal warfarin tablet strength for a
given patient, 3) time required to reach INR steady state, and 4) inherent variability of the
INR.
Warfarin dosing algorithms generally suggest a fixed percentage change (e.g. 10% to 20%) to
the weekly warfarin maintenance dose in response to out-of-range INR results. While seemingly
straightforward, training patients to use such algorithms during PSM has proven challenging.
In contrast, the FA includes a personalized dose-effect curve for each patient and predicts
the optimum warfarin dose required to center the patient's expected INR in the therapeutic
range. Patient warfarin dose sensitivity is used to compute an optimal tablet strength for
dose changes; sensitive patients require lower tablet strengths to facilitate small step
increments in warfarin dosing. The tablet strength is used to provide the closest
approximation to the optimum warfarin dose in mg/week. The FA discourages warfarin dose
adjustments for INRs moderately deviating from the therapeutic range and encourages instead
earlier repeat INR testing to confirm a suspected trend or to demonstrate stabilization.
Earlier repeat INR testing is best accomplished with patient testing using point-of-care INR
monitors.
Another unique feature of the FA is assigning likelihood probabilities expressed as the
percentage of times the INR will fall in a range of INR values for each patient. This enables
clinicians or patients to evaluate whether an extreme INR value requires immediate
intervention or is simply to be expected occasionally.
Rationale The FA provides an understanding of the individual dose-response to warfarin. With
a personalized approach to warfarin dose adjustments, we may be able to improve TTR and on a
larger scale reduce clinically-important adverse events. In addition, the simplicity of the
FA may facilitate the use of PSM in more patients in the US.
Despite the introduction of direct oral anticoagulants (DOACs) warfarin will be used by many
patients in the US into the foreseeable future. DOACs are contraindicated in patients with
mechanical heart valves and in patients with impaired renal function. Also, some patients
prefer warfarin over DOACs and others are unable to afford DOACs.
A previous FA pilot study showed promising results but also identified improvement
opportunities. In this study, the stability of INRs improved in 7 out of 10 patients during
the study period. It was also demonstrated that the management of some patients would improve
by switching warfarin tablet strengths to allow better dose fine tuning. The study also
showed that an INR retest before the warfarin dose is changed from the optimum dose may
reduce INR instability arising from unnecessary warfarin dose changes. A major flaw of this
study was the failure of anticoagulation providers to adhere to the algorithm following out
of range INRs.
Therefore, another study is necessary to demonstrate the feasibility of the FA. It is also
important to demonstrate the ability of both anticoagulation providers and patients to use
the FA in order to expand the use of PSM among US anticoagulated patients.
Study Objectives Primary objective: Compare measures of INR control (TTR, percent INRs in
range (PIR), and control error distribution) between patients managed by anticoagulation
management service (AMS) providers without the FA (standard management phase), patients
managed by AMS providers using the FA (FA AMS phase), and patients using the FA to support
PSM (FA PSM phase).
Secondary objectives: Compare 1) proportion of INRs associated with a warfarin dose change
(DC), 2) inherent INR variability, 3) major bleeding events, 4) clinically relevant non-major
bleeding events, 5) any bleeding event, and 6) thromboembolic events (TE) between the
standard management, FA AMS, and FA PSM phases as defined previously.
Study Design Open label single-center cross-over study