Ryan Pelletier, Jeff Nagge, John-Michael Gamble
OBJECTIVE: To assess the variation in bleeding risk estimates and risk stratification among Web and mobile applications for patients with atrial fibrillation. DESIGN: Cross-sectional study. SETTING: Simulated patient population. PARTICIPANTS: Hypothetical patient cohorts that encompassed all possible binary risk factor combinations for each clinical prediction model. INTERVENTIONS: Twenty-five bleeding risk calculators (18 Web and 7 mobile apps), each of which used 1 of 4 clinical prediction models to predict an individual's 12-month bleed risk: ATRIA (Anticoagulation and Risk Factors in Atrial Fibrillation), HAS-BLED (hypertension [systolic blood pressure >160 mm Hg], abnormal renal or liver function, stroke [caused by bleeding], bleeding, labile international normalized ratio, elderly [age >65 years], drugs [acetylsalicylic acid or nonsteroidal anti-inflammatory drugs] or alcohol [≥8 drinks per week]), HEMORR2 HAGES (hepatic or renal disease, ethanol abuse, malignancy, older [age >75 years], reduced platelet count or function, rebleeding risk [history of past bleeding], hypertension [uncontrolled], anemia, genetic factors, excessive fall risk, and stroke), and mOBRI (modified Outpatient Bleeding Risk Index)...
April 2022: Canadian Family Physician Médecin de Famille Canadien