Warfarin Dosage Adjustment Model Analysis Study

NCT ID: NCT05609500

Last Updated: 2022-11-08

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

1200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-09-06

Study Completion Date

2023-12-23

Brief Summary

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Despite the wide availability of Direct oral anticoagulation (DOAC), warfarin remains an important oral anticoagulant1 especially in patients with mechanical valve replacement or chronic renal failure where the evidence of DOAC is limited. However, the dosing of warfarin is challenging as it has a narrow therapeutic index and is highly influenced by dietary vitamin K intake and drugs that interacts with cytochrome (CYP) P4501. The time outside therapeutic range will carry the risk of adverse events such as thrombosis and bleeding. Numerous algorithms have been proposed that utilized either clinical or pharmacogenetics factors. The Clinical Pharmacogenetics Implementation Consortium (CPIC) has recommended the use of 4 dosing algorithms. However, these algorithms require the input of genetic information such as CYP2C9 and VKORC1 type which are not widely available locally and are less relevant in maintenance phase. Furthermore, these algorithms target mainly at predicting the initiation and the maintenance dose of warfarin. This has provided us with the opportunities to explore the Prediction model for on-treatment warfarin dose titration for outside therapeutic range.

Detailed Description

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Despite the wide availability of Direct oral anticoagulation (DOAC), warfarin remains an important oral anticoagulant1 especially in patients with mechanical valve replacement or chronic renal failure where the evidence of DOAC is limited. However, the dosing of warfarin is challenging as it has a narrow therapeutic index and is highly influenced by dietary vitamin K intake and drugs that interacts with cytochrome (CYP) P4501. The time outside therapeutic range will carry the risk of adverse events such as thrombosis and bleeding. Numerous algorithms have been proposed that utilized either clinical or pharmacogenetics factors. The Clinical Pharmacogenetics Implementation Consortium (CPIC) has recommended the use of 4 dosing algorithms. However, these algorithms require the input of genetic information such as CYP2C9 and VKORC1 type which are not widely available locally and are less relevant in maintenance phase. Furthermore, these algorithms target mainly at predicting the initiation and the maintenance dose of warfarin. This has provided us with the opportunities to explore the Prediction model for on-treatment warfarin dose titration for outside therapeutic range.

Conditions

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Warfarin

Study Design

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Observational Model Type

CASE_ONLY

Study Time Perspective

CROSS_SECTIONAL

Interventions

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Warfarin dosage adjustment model

Warfarin dosage adjustment model use to predict the initiation and the maintenance dose of warfarin. Variation of warfarin dose during stable maintenance phase for the same patient might be influenced more by temporal factors such as modification of drug regimens that utilize the CYP450 pathway, or dietary vitamin K intake

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

1. Patients who have been on maintenance warfarin treatment
2. Patients whose INR have fallen outside therapeutic range will be identified using CDARS enquiry
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Professor Bryan Ping Yen YAN (byan)

UNKNOWN

Sponsor Role collaborator

Chinese University of Hong Kong

OTHER

Sponsor Role lead

Responsible Party

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Gormin Tan

Assistant professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Bryan Yan

Role: STUDY_CHAIR

Chinese University of Hong Kong

Guangming Tan

Role: STUDY_CHAIR

Chinese University of Hong Kong

Locations

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Prince of Wales Hospital

Hong Kong, Shatin, Hong Kong

Site Status RECRUITING

Countries

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Hong Kong

Central Contacts

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Daniel Xu

Role: CONTACT

Facility Contacts

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Daniel Xu

Role: primary

35051518 ext. 1518

References

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Johnson JA, Caudle KE, Gong L, Whirl-Carrillo M, Stein CM, Scott SA, Lee MT, Gage BF, Kimmel SE, Perera MA, Anderson JL, Pirmohamed M, Klein TE, Limdi NA, Cavallari LH, Wadelius M. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Pharmacogenetics-Guided Warfarin Dosing: 2017 Update. Clin Pharmacol Ther. 2017 Sep;102(3):397-404. doi: 10.1002/cpt.668. Epub 2017 Apr 4.

Reference Type BACKGROUND
PMID: 28198005 (View on PubMed)

Pokorney SD, Simon DN, Thomas L, Fonarow GC, Kowey PR, Chang P, Singer DE, Ansell J, Blanco RG, Gersh B, Mahaffey KW, Hylek EM, Go AS, Piccini JP, Peterson ED; Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF) Investigators. Patients' time in therapeutic range on warfarin among US patients with atrial fibrillation: Results from ORBIT-AF registry. Am Heart J. 2015 Jul;170(1):141-8, 148.e1. doi: 10.1016/j.ahj.2015.03.017. Epub 2015 Apr 1.

Reference Type BACKGROUND
PMID: 26093875 (View on PubMed)

International Warfarin Pharmacogenetics Consortium; Klein TE, Altman RB, Eriksson N, Gage BF, Kimmel SE, Lee MT, Limdi NA, Page D, Roden DM, Wagner MJ, Caldwell MD, Johnson JA. Estimation of the warfarin dose with clinical and pharmacogenetic data. N Engl J Med. 2009 Feb 19;360(8):753-64. doi: 10.1056/NEJMoa0809329.

Reference Type BACKGROUND
PMID: 19228618 (View on PubMed)

Sconce EA, Khan TI, Wynne HA, Avery P, Monkhouse L, King BP, Wood P, Kesteven P, Daly AK, Kamali F. The impact of CYP2C9 and VKORC1 genetic polymorphism and patient characteristics upon warfarin dose requirements: proposal for a new dosing regimen. Blood. 2005 Oct 1;106(7):2329-33. doi: 10.1182/blood-2005-03-1108. Epub 2005 Jun 9.

Reference Type BACKGROUND
PMID: 15947090 (View on PubMed)

Gage BF, Eby C, Johnson JA, Deych E, Rieder MJ, Ridker PM, Milligan PE, Grice G, Lenzini P, Rettie AE, Aquilante CL, Grosso L, Marsh S, Langaee T, Farnett LE, Voora D, Veenstra DL, Glynn RJ, Barrett A, McLeod HL. Use of pharmacogenetic and clinical factors to predict the therapeutic dose of warfarin. Clin Pharmacol Ther. 2008 Sep;84(3):326-31. doi: 10.1038/clpt.2008.10. Epub 2008 Feb 27.

Reference Type BACKGROUND
PMID: 18305455 (View on PubMed)

Anderson JL, Horne BD, Stevens SM, Grove AS, Barton S, Nicholas ZP, Kahn SF, May HT, Samuelson KM, Muhlestein JB, Carlquist JF; Couma-Gen Investigators. Randomized trial of genotype-guided versus standard warfarin dosing in patients initiating oral anticoagulation. Circulation. 2007 Nov 27;116(22):2563-70. doi: 10.1161/CIRCULATIONAHA.107.737312. Epub 2007 Nov 7.

Reference Type BACKGROUND
PMID: 17989110 (View on PubMed)

Lenzini P, Wadelius M, Kimmel S, Anderson JL, Jorgensen AL, Pirmohamed M, Caldwell MD, Limdi N, Burmester JK, Dowd MB, Angchaisuksiri P, Bass AR, Chen J, Eriksson N, Rane A, Lindh JD, Carlquist JF, Horne BD, Grice G, Milligan PE, Eby C, Shin J, Kim H, Kurnik D, Stein CM, McMillin G, Pendleton RC, Berg RL, Deloukas P, Gage BF. Integration of genetic, clinical, and INR data to refine warfarin dosing. Clin Pharmacol Ther. 2010 May;87(5):572-8. doi: 10.1038/clpt.2010.13. Epub 2010 Apr 7.

Reference Type BACKGROUND
PMID: 20375999 (View on PubMed)

Other Identifiers

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2022.370

Identifier Type: -

Identifier Source: org_study_id

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