A machine learning model trained to identify patients with familial hypercholesterolemia using large deidentified healthcare encounter data was found to be successful.
Patients with COVID-19 and comorbidities who present with elevated levels of inflammatory markers and D-dimer may have an increased risk for large vessel peripheral arterial occlusion.
In this phase 2 trial, patients with hypercholesterolemia and clinical atherosclerotic cardiovascular disease were recruited from 85 sites across 20 countries.
Patients with type 2 diabetes mellitus at risk for heart failure treated with metformin may have reduced deterioration of LV filling pressures and myocardial relaxation.
Elevated LDL-C polygenic scores associated with higher LDL-C levels and increased risk for ASCVD in patients with monogenic familial hypercholesterolemia.
Associations between pathogenic variant positivity and 4-single nucleotide polymorphism score were established in patients with familial hypercholesterolemia in response to lipid-lowering therapy.