Predicting Atrial Fibrillation after Ischemic Stroke: Clinical, Genetics, and Electrocardiogram Modelling.

Introduction: Detection of atrial fibrillation (AF) is challenging in patients after ischaemic stroke due to its paroxysmal nature. We aimed to determine the utility of a combined clinical, electrocardiographic, and genetic variable model to predict AF in a post-stroke population.

Materials And Methods: We performed a cohort study at a single comprehensive stroke centre from November 09, 2009, to October 31, 2017.

Reliability and longitudinal validity of computer-assisted methods for measuring joint damage progression in subjects with rheumatoid arthritis.

Objective: To compare the metric properties of a computer-assisted erosion segmentation volume measurement with scoring using the Rheumatoid Arthritis Magnetic Resonance Imaging Score (RAMRIS) in a longitudinal cohort of patients with rheumatoid arthritis (RA).

Methods: Thirty-two sets of baseline and 2-year followup magnetic resonance imaging (MRI) of metacarpal phalangeal 2-5 joints of patients with RA were scored using RAMRIS and segmented using OSIRIS software. The smallest detectable difference (SDD), standardized response mean (SRM), and paired t-test were used to evaluate the sensitivity to change.