Publications by authors named "Ashley Pournamdari"
Cardiac diseases represent common highly morbid conditions for which molecular mechanisms remain incompletely understood. Here we report the analysis of 1,459 protein measurements in 44,313 UK Biobank participants to characterize the circulating proteome associated with incident coronary artery disease, heart failure, atrial fibrillation and aortic stenosis. Multivariable-adjusted Cox regression identified 820 protein-disease associations-including 441 proteins-at Bonferroni-adjusted P < 8.
View Article and Find Full Text PDFArticle Synopsis
- Elevated lipoprotein(a) (Lp[a]) levels are considered a potential risk factor for atherosclerotic cardiovascular disease (ASCVD), but there is debate about the role of inflammation in this relationship.
- The study aims to determine if Lp(a) increases cardiovascular risk independently of high-sensitivity C-reactive protein (hs-CRP) among diverse patient populations.
- Results show that higher Lp(a) levels are associated with increased risk of major cardiovascular events, regardless of the presence of high or low hs-CRP levels, indicating that Lp(a) is a significant risk factor on its own.
Article Synopsis
- Scientists studied blood proteins in over 44,000 people to understand heart diseases better.
- They found 820 important protein links to conditions like heart failure and aortic stenosis, which could help create new treatments.
- Their research showed that looking at these proteins can improve predictions for heart diseases more than just using regular health information.
Importance: The use of artificial intelligence (AI) is expanding throughout the field of medicine. In dermatology, researchers are evaluating the potential for direct-to-patient and clinician decision-support AI tools to classify skin lesions. Although AI is poised to change how patients engage in health care, patient perspectives remain poorly understood.
View Article and Find Full Text PDFImportance: Acne is a common reason for referral to dermatologists from primary care clinicians. We previously modeled the impact of algorithm-based acne care in reducing dermatology referrals, missed appointments, and treatment delays.
Objective: To prospectively evaluate the downstream outcomes following a real-time, algorithm-based electronic decision-support tool on the treatment of patients referred for acne.
Importance: Emerging efforts to recognize and combat medical overuse are important solutions to mitigate patient morbidity from unnecessary health care interventions.
Objectives: To identify and highlight important original investigations on medical overuse in dermatology from 2017 to 2018.
Evidence Review: The PubMed and Embase databases coupled with articles published in 8 major dermatology and medical journals from January 1, 2017, to December 31, 2018, were searched to identify articles related to medical overuse in dermatology.