Required to derive therapy options
Select all that apply
All four values are required to calculate Creatinine Clearance
Consider a patient's bleed risk when evaluating for anticoagulation therapy, and minimize bleed risk whenever possible.
Renal-Function Adjusted Dose | Patient-Adjusted Dose | Calculate Creatinine Clearance |
Standard Dose (clinical trials) Standard Dose (clinical trials) |
Patient's ANNUAL risk of stroke + thromboembolism with ** |
Patient's ADJUSTED ANNUAL risk of stroke + thromboembolism with ** | % | % |
Relative risk reduction | % | |
Absolute risk reduction | % | |
Chance of benefit per year | 1 in |
Patient's ADJUSTED ANNUAL risk of stroke with ** (GARFIELD-AF) | ||
Patient's ADJUSTED ANNUAL risk of stroke with ** (GARFIELD-AF) | % | % |
Relative risk reduction | % | % |
Absolute risk reduction | % | % |
Chance of benefit per year |
Based on
SPARC Tool developed by Peter Loewen, ACPR, Pharm.D., FCSHP
*This table refers to
and calculates individualized annual risk of ischemic stroke and
thromboembolism using relative risk reduction from the clinical
trials in combination with individual risk factors. This data is not the
result of head-to-head trials and cannot be compared side by side.
**An important difference is that the DOAC trials combined
stroke and systemic embolism for relative risk reduction on therapy,
compared to the placebo/no therapy that calculated stroke alone and to
warfarin trials that calculated stroke alone.
Population avg ANNUAL risk of major bleed | % |
Population avg annual chance of being harmed by (major bleed) | 1 in |
Patient's ANNUAL risk of major bleed (HAS-BLED) | % HAS-BLED Scores greater than 5 are too rare to determine risk, but are likely over % |
Patient's annual chance of being harmed by (major bleed) | At least 1 in |
Based on SPARC Tool developed by Peter Loewen, ACPR, Pharm.D., FCSHP
*This table refers to
and calculates individualized annual risk of major bleed using relative risk
reduction from the clinical trials in combination with individual risk
factors. This data is not the result of head-to-head trials.
Additional Dose Considerations | |
Major Side Effects | |
Drug Interactions |
For full list of interactions and all other safety
information for this drug,
see prescribing information (N/A) |
Reversal Strategies | Download Reversal Strategies Fact Sheet (N/A) |
Patient’s ANNUAL risk of mortality with No OAC Therapy (GARFIELD-AF) | |
Patient’s ANNUAL risk of mortality with DOAC (GARFIELD-AF) | |
Patient’s ANNUAL risk of mortality with Warfarin/VKA (GARFIELD-AF) |
2023
ACC/AHA/ACCP/HRS Guideline for the Diagnosis and
Management of Atrial Fibrillation
:
Joglar, J, Chung, M. et al.
2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial
Fibrillation: A Report of the American
College of Cardiology/American Heart Association Joint Committee on Clinical
Practice Guidelines.
J Am Coll Cardiol. 2024 Jan, 83 (1) 109–279.
2019
AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the
Management of Patients With Atrial Fibrillation: January C, Wann L,
Calkins H, et al. 2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS
Guideline for the Management of Patients With Atrial Fibrillation.
J Am Coll
Cardiol. 2019 Jul, 74 (1) 104–132.
2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: January C, Wann L, Alpert J, et al. 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation. J Am Coll Cardiol. 2014 Dec, 64 (21) e1–e76.
CHA₂DS₂-VASc: Lip GY, Nieuwlaat R, Pisters R, Lane DA, Crijns HJ. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. Chest. 2010 Feb;137(2):263-72. doi: 10.1378/chest.09-1584. Epub 2009 Sep 17. PubMed PMID: 19762550.
HAS-BLED: Pisters R, Lane DA, Nieuwlaat R, et al. A Novel User-Friendly Score (HAS-BLED) To Assess 1-Year Risk Of Major Bleeding In Patients With Atrial Fibrillation: The Euro Heart Survey. Chest. 2010;138(5):1093-1100
Cockcroft-Gault Equation for CrCl: Cockcroft DW, Gault MH. Prediction of creatinine clearance from serum creatinine. Nephron. 1976;16(1):31-41. PubMed PMID: 1244564
A New Risk Scheme to Predict Ischemic Stroke and Other Thromboembolism in Atrial Fibrillation: The ATRIA Study Stroke Risk Score: Daniel E. Singer, Yuchiao Chang, Leila H. Borowsky, Margaret C. Fang, Niela K. Pomernacki, Natalia Udaltsova, Kristi Reynolds and Alan S. Go. Journal of the American Heart Association. 19 Jun 2013;2:e000250
Improved risk stratification of patients with atrial fibrillation: an integrated GARFIELD-AF tool for the prediction of mortality, stroke and bleed in patients with and without anticoagulation: Fox KAA, Lucas JE, Pieper KS, et al. BMJ Open 2017;7:e017157. doi:10.1136/bmjopen-2017-017157
Evaluation of risk stratification schemes for ischaemic stroke and bleeding in 182 678 patients with atrial fibrillation: the Swedish Atrial Fibrillation cohort study: Friberg L, Rosenqvist M, Lip GY. Eur Heart J. 2012 Jun;33(12):1500-10. doi: 10.1093/eurheartj/ehr488. Epub 2012 Jan 13. PMID: 22246443.
Comparative
Validation of a Novel Risk Score for Predicting Bleeding Risk in
Anticoagulated Patients With Atrial
Fibrillation: The HAS-BLED Score: Lip GY, Frison L, Halperin J, Lane D.
J Am Coll Cardiol. 2011 Jan, 57 (1) 173-180.
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July 2024
Use the updated AnticoagEvaluator to make informed decisions on initiation of antithrombotic therapy for patients with atrial fibrillation, in the absence of moderate to severe mitral stenosis or a mechanical heart valve. App updates include expanded advice from the 2023 ACC/AHA/ACCP/HRS Guideline for the Diagnosis and Management of Atrial Fibrillation.
Use the App to:The information and recommendations in this app are intended to support clinical decision making. They are not intended to represent the only or best course of care, or to replace clinical judgment for diagnosis, cure, mitigation, treatment, or prevention of disease. Use of this app assumes clinicians will conduct a full evaluation of the patient, consult relevant medical specialists as needed, and utilize a team-based approach to optimize therapy. In addition, therapeutic options should be determined after discussion between the patient and their care provider.
The app was developed as part of the ongoing mission of the College to generate and deliver actionable knowledge at the point of care to improve quality, efficiency, and patient outcomes. This app was originally developed as part of the ACC’s Anticoagulation Initiative, a comprehensive quality effort to improve care for patients on anticoagulation therapy. Financial support for the development of the app was provided by Daiichi Sankyo, Inc. All content was independently developed with no sponsor involvement.
The GARFIELD-AF and ATRIA risk models were incorporated into this app by expanding the Patient Information parameters and applicable Risk Factors beyond CHA₂DS₂-VASc to satisfy all three models. The risk bar above will display the risk model with the highest resulting stroke risk magnitude once risk factors are selected. All risk models’ annual stroke risk magnitudes are available on the Review Therapy tab in the Evaluate Therapy section for further review, however. A detailed table of which risk factors affect which risk model is available in the Resources section of this app.
The adjusted annual risk of stroke calculations for therapy selection in the CHA₂DS₂-VASc risk model were adapted from a web tool created by Peter Loewen, B.Sc.(Pharm), ACPR, Pharm.D., FCSHP, which can be viewed at http://www.sparctool.com/. The App was further refined and vetted through review and user testing by physicians, nurse practitioners, pharmacists, and other relevant specialists. It combines risk estimates from clinical prediction rules (i.e., CHA₂DS₂-VASc) with relative risk data from clinical trials (e.g., ACTIVE-A, RE-LY, ROCKET-AF, ARISTOTLE, ENGAGE-AF) to produce individualized efficacy estimates for patients. A detailed description of this methodology can be found at http://www.sparctool.com/sparcnotes.htm. Because relative risk effect sizes in this therapeutic area are quite stable across the spectrum of absolute risk, this method allows for reasonable comparison between clinical research studies that used different methodologies and study populations. Nonetheless, this type of approach is no substitute for sound clinical judgment.
Please see the Resources section of this App for links to additional references.
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