A Study Of the effect of Sex on drug dosing, concentrations, and pharmacogenomics in the Montreal Heart Institute Hospital Cohort (SOS-PGx): methodology and research progress.

Background: Women are underrepresented in drug development trials and there is no sex-tailored drug regimen for most medications. It has been repeatedly shown that women have more adverse drug reactions than men for several medications. These differences could be explained by higher dose-adjusted drug concentrations in women.

Childhood maltreatment, cognitive performance, and cognitive decline in middle-aged and older adults with chronic disease: A prospective study.

Objectives: Childhood maltreatment (CM) may increase the risk for cognitive deficits and dementia later in life. However, most research has been cross-sectional in nature, has typically focused on specific types of CM, and rarely examined individual differences. The objectives are to evaluate 1) if CM predicts poorer cognitive performance and greater cognitive decline over a 5-year follow-up in older men and women with coronary artery disease (CAD) or other non-cardiovascular (non-CVD) chronic disease, and whether 2) sex and CAD status influence these relations.

Prediction of incident atrial fibrillation using deep learning, clinical models, and polygenic scores.

Background And Aims: Deep learning applied to electrocardiograms (ECG-AI) is an emerging approach for predicting atrial fibrillation or flutter (AF). This study introduces an ECG-AI model developed and tested at a tertiary cardiac centre, comparing its performance with clinical models and AF polygenic score (PGS).

Methods: Electrocardiograms in sinus rhythm from the Montreal Heart Institute were analysed, excluding those from patients with pre-existing AF.