Purpose: This single centre study investigates the influence of diabetes mellitus on outcomes following carotid artery endarterectomy or stenting.
Methods: In total, 752 carotid revascularizations (58.2% carotid artery stenting and 41.8% carotid endarterectomy) were performed in 221 (29.4%) patients with diabetes and 532 (70.6%) patients without diabetes. The study outcomes were death, disabling and non-disabling stroke, transient ischaemic attack and restenosis within 36 months after the procedure.
Results: Patients with diabetes had higher periprocedural risk of any stroke or death (3.6% diabetes vs 0.6% no diabetes; p < 0.05), transient ischaemic attack (1.8% diabetes vs 0.2% no diabetes; p > 0.05) and restenosis (2.7% diabetes vs 0.6% no diabetes; p < 0.05). During long-term follow-up, there were no significant differences in Kaplan-Meier estimates of freedom from death, any stroke and transient ischaemic attack, between people with and without diabetes for each carotid artery stenting and carotid endarterectomy subgroup. Patients with diabetes showed higher rates of restenosis during follow-up than patients without diabetes (36-months estimate risk of restenosis: 21.2% diabetes vs 12.5% no diabetes; p < 0.05).
Conclusion: The presence of diabetes was associated with increased periprocedural risk, but no further additional risk emerged during longer term follow-up. Restenosis rates were higher among patients with diabetes.
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http://dx.doi.org/10.1177/1479164118769530 | DOI Listing |
Cancer Med
January 2025
Division of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Yonago, Japan.
Background And Aim: In recent years, there has been a rise in cryptogenic hepatocellular carcinoma (c-HCC) cases in Japan, posing a detection challenge due to an unknown etiology. This study aims to enhance diagnostic strategies for c-HCC by analyzing its characteristics and exploring current opportunities for detection.
Methods: A retrospective study was conducted from April 2012 to March 2022, enrolling 372 newly diagnosed hepatocellular carcinoma (HCC) patients.
Afr J Prim Health Care Fam Med
December 2024
Department of Anaesthesiology, Pharmacology and Therapeutics, Faculty of Medicine, University of British Columbia, Vancouver.
In older adults with type 2 diabetes (T2DM), tight glycaemic control (HbA1c 7%) can result in more harm than benefit, especially when using insulin or sulfonylureas. Older adults are at higher risk for adverse drug events, especially hypoglycaemia, which may cause falls, confusion and hospitalisations. This Therapeutic Letter evaluates the risks of tight glycaemic control in older adults with T2DM, focusing on deprescribing diabetes medications in those over 65, especially those with multimorbidity and polypharmacy.
View Article and Find Full Text PDFEur Heart J Digit Health
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, 200 1st St SW, Rochester, MN 55905, USA.
Aims: Gender-affirming hormone therapy (GAHT) is used by some transgender individuals (TG), who comprise 1.4% of US population. However, the effects of GAHT on electrocardiogram (ECG) remain unknown.
View Article and Find Full Text PDFEur Heart J Digit Health
January 2025
Kolling Institute, Royal North Shore Hospital, University of Sydney, St Leonards, Sydney, NSW 2065, Australia.
Aims: An explainable advanced electrocardiography (A-ECG) Heart Age gap is the difference between A-ECG Heart Age and chronological age. This gap is an estimate of accelerated cardiovascular aging expressed in years of healthy human aging, and can intuitively communicate cardiovascular risk to the general population. However, existing A-ECG Heart Age requires sinus rhythm.
View Article and Find Full Text PDFHealth Sci Rep
January 2025
Department of Cardiac Surgery, School of Medicine Hamadan University of Medical Sciences Hamadan Iran.
Background And Aim: Coronary artery bypass grafting (CABG) is a key treatment for coronary artery disease, but accurately predicting patient survival after the procedure presents significant challenges. This study aimed to systematically review articles using machine learning techniques to predict patient survival rates and identify factors affecting these rates after CABG surgery.
Methods: From January 1, 2015, to January 20, 2024, a comprehensive literature search was conducted across PubMed, Scopus, IEEE Xplore, and Web of Science.
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