Additive Value of Polygenic Risk Score to Family History for Type 2 Diabetes Prediction: Results From the All of Us Research Database.

Objective: The goal of this study was to assess the additive value of considering type 2 diabetes (T2D) polygenic risk score (PRS) in addition to family history for T2D prediction.

Research Design And Methods: Data were obtained from the All of Us (AoU) research database. First-degree T2D family history was self-reported on the personal family history health questionnaire.

A Scoping Review of Electronic Health Records-Based Screening Algorithms for Familial Hypercholesterolemia.

Background: Familial hypercholesterolemia (FH) is a common genetic disorder that is strongly associated with premature cardiovascular disease. Effective diagnosis and appropriate treatment of FH can reduce cardiovascular disease risk; however, FH is underdiagnosed. Electronic health record (EHR)-based FH screening tools have been previously described to enhance the detection of FH.

Mortality prediction after major surgery in a mixed population through machine learning: a multi-objective symbolic regression approach.

Introduction: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predictive model for 1-year mortality in patients undergoing complex non-cardiac surgery using a novel machine-learning technique called multi-objective symbolic regression.

A Survey of Obstetric Anaesthesia Services and Practices in the United Kingdom.

Background Variability in obstetric anaesthetia practice and care delivered within the UK is under-explored. The ObsQoR study explored structures, processes, and outcomes of obstetric anaesthesia in 107 hospitals within the UK's National Health Service, and the results of the hospital-level survey are reported here. Methods Hospitals were surveyed to assess obstetric anaesthesia provision, practice, and care delivery.

Family History of Arthritis, Osteoporosis, and Carpal Tunnel Syndrome and Risk of These Conditions Among US Adults.

Objective: The aim was to estimate odds ratios (ORs) of associations between family history of arthritis, osteoporosis, and carpal tunnel syndrome and prevalence in a real-world population, uncovering family histories of related conditions that may increase risk because of shared heritability, condition pathophysiology, or social/environmental factors.

Methods: Using data from 156,307 participants in the All of Us (AoU) Research Program, we examined associations between self-reported first-degree family history of five common types of arthritis (fibromyalgia, gout, osteoarthritis [OA], rheumatoid arthritis, and systemic lupus erythematosus [SLE]), osteoporosis, and carpal tunnel syndrome and prevalence. We evaluate associations across seven conditions and performed stratified analyses by race and ethnicity, sex, socioeconomic differences, body mass index, and type of affected relative.