How the adoption of prediction models to decide which patient with atrial fibrillation (AF) to anticoagulate can affect prescription rates and outcomes is unclear.

A decisional model to individualize warfarin recommendations: Expected impact on treatment and outcome rates in a real-world population with atrial fibrillation

MARCUCCI, MAURA;MARCUCCI, MAURA;
2016-01-01

Abstract

How the adoption of prediction models to decide which patient with atrial fibrillation (AF) to anticoagulate can affect prescription rates and outcomes is unclear.
2016
Anticoagulation
Atrial fibrillation
Decision model
Personalized medicine
Aged
Aged
80 and over
Anticoagulants
Atrial Fibrillation
Blood Coagulation
Denmark
Drug Prescriptions
Female
Follow-Up Studies
Humans
Incidence
Male
Middle Aged
Population Surveillance
Registries
Retrospective Studies
Risk Assessment
Stroke
Warfarin
Decision Support Techniques
Practice Guidelines as Topic
Anticoagulation
Atrial fibrillation
Decision model
Personalized medicine
Aged
Aged
80 and over
Anticoagulants
Atrial Fibrillation
Blood Coagulation
Denmark
Drug Prescriptions
Female
Follow-Up Studies
Humans
Incidence
Male
Middle Aged
Population Surveillance
Registries
Retrospective Studies
Risk Assessment
Stroke
Warfarin
Decision Support Techniques
Practice Guidelines as Topic
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11699/82880
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