Skip to content
cardio.webdr
ToolsSpecialtiesEchoHeart sounds
ToolsSpecialtiesEchoHeart soundsFavoritesPrivate notes
cardio.webdr

Clinical clarity, in seconds. Built for focused decisions—not data collection.

Patient inputs stay on this device.
ExploreAll toolsSpecialtiesEchocardiographyHeart sounds
Your workspaceFavoritesPrivate notesCalculation historyOffline access
PlatformAboutFAQDevelopersFeedbackContact
© 2026 CardioWebdr Clinical support, not a substitute for judgment.PrivacyTermsStorageSupportReport an issue
All tools/Cardiovascular Scores, Indexes, And Algorithms
Interactive worksheet5 clinical inputsPatient data not stored

ARISTOTLE HF Subgroup Outcome Index (proxy – ABC-based)

ARISTOTLE HF Subgroup Outcome Index: Rationale and clinical context The original ARISTOTLE trial (apixaban vs warfarin) and its biomarker substudies showed that age, a clinical history of heart failure, and circulating biomarkers — notably NT-proBNP, high-sensitivity cardiac troponin, and growth differentiation factor-15 (GDF-15) — were among the strongest predictors of death and heart-failure related events in patie

Interactive worksheet

Clinical inputs

0/5 filled
Inputs stay on this device
Active structured worksheetActive local worksheet: mapped inputs can be completed, validated, copied, saved, and exported on this device. No numerical score is asserted unless its formula is independently reproducible.
Clinical contextWhy this tool matters and how to interpret it

Understand the result,
not just the number.

ARISTOTLE HF Subgroup Outcome Index: Rationale and clinical context The original ARISTOTLE trial (apixaban vs warfarin) and its biomarker substudies showed that age, a clinical history of heart failure, and circulating biomarkers — notably NT-proBNP, high-sensitivity cardiac troponin, and growth differentiation factor-15 (GDF-15) — were among the strongest predictors of death and heart-failure related events in patients with atrial fibrillation. The ABC (Age, Biomarkers, Clinical history) risk framework was developed from ARISTOTLE data to quantify mortality risk in anticoagulated AF patients; this calculator implements a transparent proxy based on that approach to provide a relative HF-outcome index. For precise absolute risk estimates, one should use the original ABC equations or the published online ABC calculator (model coefficients/baseline hazard).

Evidence & references1 primary source mapped
  1. Source 1

    Hijazi Z, et al. A biomarker-based risk score to predict death in patients with atrial fibrillation: the ABC (Age, Biomarkers, Clinical history) death risk score. (development from ARISTOTLE data). Also see ARISTOTLE biomarker analyses addressing heart-failure events and biomarker prognostic value.

Clinical discussionModerated, tool-specific conversation

Loading discussion…

Moderated before publishingNever include patient identifiers.

Workspace mode

Structured worksheet

Active local worksheet: mapped inputs can be completed, validated, copied, saved, and exported on this device. No numerical score is asserted unless its formula is independently reproducible.

On this pageWorksheet Clinical context References Discussion

Privacy by default

Inputs, results, favorites, and notes remain in your browser unless you explicitly export them.

Privacy details
Report formula or content issue
Continue exploring

Related clinical tools

More in this specialty
Interactive worksheet

ROCKET-AF Heart Failure Subgroup Risk Index

Cardiovascular Scores, Indexes, And Algorithms
Interactive worksheet

STRONG-HF Risk Framework Calculator

Cardiovascular Scores, Indexes, And Algorithms
Interactive worksheet

ADHERE Tree Model for Acute HF Mortality Calculator

Cardiovascular Scores, Indexes, And Algorithms
Score mapped

H2FPEF Score (Heart Failure with Preserved EF Probability) Calculator

Cardiovascular Scores, Indexes, And Algorithms
Clinical structure and calculation context point directly to Source 1; additional primary references remain listed for auditability.