News Archive

A new analysis from the DCRI showed that 35 percent of direct costs related to musculoskeletal pain were attributable to about 4 percent of patients who were persistent high-cost utilizers.

The initiative, which will be led by a DCRI pediatrician, aims to create a new care and services model for children in five North Carolina counties.

As the year—and the decade—draws to a close, we take a look back at some of our accomplishments and the ways in which we shared knowledge in 2019.

The survey focused on invasive cardiac care and measured patient knowledge, goals, and concerns related to these procedures.

Study results recently published in Neuropsychopharmacology indicate that young adults with ADHD are at higher risk of becoming addicted to nicotine after even the first exposure to the substance. The study included 136 non-smokers between ages 18 to 25, about half of whom had a clinical diagnosis of ADHD. Participants were administered two different doses of nicotine and a placebo.

The Antibacterial Resistance Leadership Group conducts clinical research to better understand how to diagnose, treat, and prevent antibacterial resistant infections.

With eight-plus clinical areas under one roof, the DCRI enables faculty members of various specialties to work together to draw deeper insights in clinical research and find better treatments for patients.

Recent results from DAPA-HF may be moving the treatment of heart failure into a new era of “quadruple therapy,” but further studies are needed to understand the benefits of using an SGLT2 inhibitor such as dapagliflozin in addition the guideline-recommended triple therapy, wrote the DCRI’s Michael Felker, MD, in a recent editorial in Circulation.

A study of proteins in plasma taken from patients in the IPF-PRO registry found that patients with IPF have a distinct circulating set of proteins and that select proteins correlate well with clini

With machine learning on the rise, DCRI’s Eric Peterson, MD, MPH, takes a retrospective look at prior efforts to implement risk prediction models and what lessons can be drawn from the past for cur