
An analysis of the phase 3 EXPLORER-HCM trial offers further insight into the effects of mavacamten in patients with obstructive hypertrophic cardiomyopathy.
Patrick Campbell is the editorial director of HCPLive. Patrick has spent years spearheading coverage surrounding cardiometabolic health and rheumatic disease for MJH Life Sciences. Before joining MJH Life Sciences in 2019, he spent time as a beat reporter and/or multimedia specialist with the Pocono Record, Star News Group, and NJ Advance Media. He is the executive producer for multiple HCPLive podcasts, including Diabetes Dialogue, Don't Miss a Beat, Kidney Compass, Medical Ethics Unpacked, The Medical Sisterhood, and Skin of Color Savvy.
Follow him on Twitter @RealPatCampbell or reach him via email at [email protected].

An analysis of the phase 3 EXPLORER-HCM trial offers further insight into the effects of mavacamten in patients with obstructive hypertrophic cardiomyopathy.

An analysis of CDC data presented at AHA Scientific Sessions 2020 suggests rates of high blood pressure complications during pregnancy nearly doubled during a period lasting from 2008-2017.

Analysis of data from the 5000-patient Look AHEAD Trial details the varying effects of changes in lean mass, fat mass, and waist circumference, respectively, on risk of heart failure and myocardial infarctions in patients with type 2 diabetes.

A nephrologist and professor from the University of Toronto offers insight into the results of a key kidney outcomes analysis of the VERTIS-CV trial.

Practical Cardiology's Chief Advisory Board member Dr. Guy Mintz and a principal investigator from the CLEAR program discuss bempedoic acid and how they envision it fitting into treatment algorithms going forward.


An analysis of data from 3 major health studies details associations between anti-inflammatory foods and lower risk of stroke and heart disease.

Analysis of data from the SUSTAIN program suggests adverse gastrointestinal events contributed little to superior weight loss seen with semaglutide versus other GLP-1 receptor agonists.

An analysis of patients presenting to more than a dozen stroke centers in England and Scotland gives physicians an updated look at trends and outcomes of stroke patients with COVID-19 compared to their counterparts without the disease.

Learn more about the latest indication for ticagrelor from the FDA and check out an exclusive interview from S. Claiborne Johnston, MD, PhD, on results of the pivotal THALES trial.

Collaborative Care: Technology’s Evolving Role in Cardiometabolic Health is a 3-part feature series examining the evolution of technology in the management of patients with cardiometabolic diseases, such as cardiovascular disease and diabetes.

A recent trial found incorporating an online weight loss program to population health management strategies was linked to greater reductions in body weight.

An analysis of more than 2k patients from hospitals in Spain detail associations between statin use and lower rates of COVID-19 mortality.

Analysis of data from the SUSTAIN program suggests adverse gastrointestinal events contributed little to superior weight loss seen with semaglutide versus other GLP-1 receptor agonists.

An extension study of the phase 3 trial indicate combination therapy with exenatide and dapagliflozin was effective 104 weeks after randomization in patients with type 2 diabetes and inadequate glycemic control despite metformin therapy.

An analysis of data from 3 major studies details associations between diets characterized by intake of pro versus anti-inflammatory foods with incidence of cardiovascular disease.

Georgiana Dobri, MD, a neuroendocrinologist from Weill Cornell Medicine, discusses the approval of osilodrostat and management of Cushing's disease in 2020.

An analysis of women treated at Columbia University Irving Medical Center details outcomes in pregnant women with cardiovascular disease treated by a cardio-obstetrics care team.

A podcast episode featuring a discussion related to racial and ethnic disparities in the care of children with type 1 diabetes.

An analysis of data from patients presenting to a medical center in New York City details associations between statin use and mortality among diabetics hospitalized with COVID-19.

Results from an analysis of patients presenting at 3 NYC-based centers suggests CTA scans combined with clinical questionnaire data yielded an 83% accuracy rate for diagnosing COVID-19 in stroke patients.

An analysis of data from European registries provide an overview of reductions in MACE and other benefits associated with metabolic surgery in severely obese patients with a history of myocardial infarction.

An analysis of the Dallas Heart Study from UTSW details how use of CAC scoring can help determine what patients would stand to benefit from aspirin use for primary prevention.

An analysis of data from women treated at Columbia University Irving Medical Center details outcomes in pregnant women with cardiovascular disease treated by a cardio-obstetrics care team.

An analysis of data from patients presenting to a medical center in New York City details associations between statin use and mortality among diabetics hospitalized with COVID-19.

Results of a prospective, non-randomized trial indicate an approach using the HeartMate II LVAD combined with optimized medical therapy could increase the rate of device explantation and help facilitate cardiac remodeling.

Results of an analysis of data from the SWEDEHEART and SOReg registries describe reductions in MACE and other health markers associated with metabolic surgery in severely obese patients with a history of myocardial infarction.

The Assistant Dean of Community Engagement at the School of Nursing at the University of Pennsylvania offers perspective on addressing racial and ethnic disparities in medicine at an individual and societal level.

Results from FIDELIO-DKD suggest finerenone was associated with reductions in progression of chronic kidney disease and potential improvements in cardiovascular health.

Using data from the CRIC study, a team of investigators has designed a machine learning model they suggest could predict AF incidence in patients with chronic kidney disease.