Tag Archives: prediction

Introduction The diagnosis of atrial fibrillation (AF) is made from an electrocardiogram (ECG) showing AF lasting for at least 30 seconds.1 The ECG characteristics of AF are irregularly irregular R–R intervals (where atrioventricular conduction is not impaired), absence of distinct repeating P-waves, and irregular atrial activations.1 AF is the most common sustained arrhythmia in the general population, with an estimated prevalence worldwide of 2% to 4%,2 and this is expected to increase two- to three-fold by 2030.3 In the UK, approximately 1.2 million individuals (1.8% of the populace) have been identified and diagnosed with AF.4,5 AF is a

Introduction Figure 1. The five stages of the transtheoretical model (adapted from ref. 8) Exercise-based cardiac rehabilitation (CR) is embedded in cardiac care and can reduce cardiovascular mortality by 30% and death from all causes by 20–25%.1,2 Phase III CR is the stage of the patient journey in the UK that is primarily delivered in a hospital setting.3 It is acknowledged that strategies to increase adherence and participation are needed to maximise health gains from participation in CR.3 Predicting uptake and adherence has, to date, focused on traditional measures, e.g. age.3 New aspects are receiving some attention, these include disp