This week's roundup, in order: a fresh look at statins as a possible disease-modifying therapy for abdominal aortic aneurysm, a practical interpretation of the CREST-2 trial for asymptomatic carotid disease, a "risk-stacking" framework for why peripheral arterial disease outcomes are worsening in younger patients, an AI tool for recognizing chronic venous insufficiency skin changes from clinical photos, and a simple post-procedure flow measurement that predicts how long a dialysis access fix will last.
Aortic disease: Statins may be the closest thing we have to a disease-modifying drug for abdominal aortic aneurysm. Pooled registry, screening-cohort, and genetic evidence shows a dose-dependent association between statin intensity and slower aneurysm growth, with a favorable safety profile — though no dedicated randomized trial has tested this yet.
Skovbo JS, Lindholt JS. Statins in abdominal aortic aneurysm: a risk-benefit analysis. Curr Opin Cardiol. 2026. https://pubmed.ncbi.nlm.nih.gov/42647406/
Carotid disease: A commentary walks through how to interpret CREST-2 for asymptomatic carotid stenosis: adding carotid stenting to intensive contemporary medical management reduced the four-year risk of stroke or death versus medical management alone, while adding endarterectomy trended the same direction but did not reach statistical significance — a sign that modern medical therapy has narrowed, but not eliminated, the benefit of intervention.
Kelly P, McCabe J, De Borst GJ. Medical Treatment or Intervention for Asymptomatic Carotid Stenosis?: Interpreting CREST-2. Stroke. 2026;57(9):2952-2955. https://pubmed.ncbi.nlm.nih.gov/42495730/
Peripheral arterial disease: A proposed "risk-stacking" model argues that rising amputation rates in younger patients reflect the interaction of three layers — genetic risk via lipoprotein(a), cardiovascular-kidney-metabolic syndrome, and social determinants of health — and suggests one-time Lp(a) testing plus routine social-barrier screening to better target prevention.
Nudy M, Sinoway L, Aziz F, Brunner G. Risk stacking in peripheral artery disease (PAD): Integrating genetics, cardiometabolic disease and social determinants of health to explain worsening PAD outcomes. Int J Cardiol Cardiovasc Risk Prev. 2026;30:200684. https://pubmed.ncbi.nlm.nih.gov/42577030/
Venous disease: A deep learning pipeline trained on clinical photographs accurately distinguishes chronic venous insufficiency-related skin changes (lipodermatosclerosis, stasis dermatitis) from other skin conditions, with performance holding up on external multicenter data and a diverse public skin-tone dataset — a promising decision-support tool for telemedicine and primary care triage.
Kim KE, Lee Y, Kang H, et al. A deep learning framework for recognizing skin changes secondary to chronic venous insufficiency in clinical photographs: a multicentre validation study. Ann Med. 2026;58(1):2694142. https://pubmed.ncbi.nlm.nih.gov/42438416/
Dialysis access: In a recurrent-event cohort of hemodialysis patients, lower access blood flow measured immediately after endovascular intervention independently predicted a shorter time to the next required intervention — a simple, low-tech post-procedure check that could help target surveillance.
Shih HM, Lin CJ, Chuang SM, Chang KS, Wu CJ, Pan CF. Post-procedural access blood flow and repeat endovascular intervention in hemodialysis vascular access: a recurrent-event cohort study. Ren Fail. 2026;48(1):2697399. https://pubmed.ncbi.nlm.nih.gov/42635106/
All studies retrieved via PubMed.
Educational content only. Not medical advice. Consult your own clinical judgment and institutional protocols for any individual patient.