Ultrasound screening for abdominal aortic aneurysm in high-risk women.

Br J Surg

Department of Cardiovascular Sciences & National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC), University of Leicester, Glenfield Hospital, Leicester, UK.

Published: October 2021

Background: Population-wide ultrasound screening programmes for abdominal aortic aneurysm (AAA) for men have already been established in some countries. Women account for one third of aneurysm-related mortality and are four times more likely to experience an AAA rupture than men. Whole-population screening for AAA in women is unlikely to be clinically or economically effective. The aim of this study was to determine the outcomes of a targeted AAA screening programme for women at high risk of AAA.

Method: Women aged 65-74 years deemed at high risk of having an AAA (current smokers, ex-smokers, or with a history of coronary artery disease) were invited to attend ultrasound screening (July 2016 to March 2019) for AAA in the Female Aneurysm screening STudy (FAST). Primary outcomes were attendance for screening and prevalence of AAA. Biometric data, medical history, quality of life (QoL) and aortic diameter on ultrasound imaging were recorded prospectively.

Results: Some 6037 women were invited and 5200 attended screening (86.7 per cent). Fifteen AAAs larger than 29 mm were detected (prevalence 0.29 (95 per cent c.i. 0.18 to 0.48) per cent). Current smokers had the highest prevalence (0.83 (95 per cent c.i. 0.34 to 1.89) per cent) but lowest attendance (75.2 per cent). Three AAAs greater than 5.5 cm were identified and referred for consideration of surgical repair; one woman underwent repair. There was a significant reduction in patient-reported QoL scores following screening.

Conclusion: A low prevalence of AAA was detected in high-risk women, with lowest screening uptake in those at highest risk. Screening for AAA in high-risk women may not be beneficial.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545265PMC
http://dx.doi.org/10.1093/bjs/znab220DOI Listing

Publication Analysis

Top Keywords

ultrasound screening
12
high-risk women
12
screening
9
aaa
9
abdominal aortic
8
aortic aneurysm
8
women
8
screening aaa
8
high risk
8
current smokers
8

Similar Publications

Drug Development.

Alzheimers Dement

December 2024

University of California San Francisco (UCSF), San Francisco, CA, USA; Northern California Institute for Research & Education (NCIRE), San Francisco, CA, USA; San Francisco Veterans Administration Medical Center (SFVAMC), San Francisco, CA, CA, USA.

The Alzheimer's Disease Neuroimaging Initiative (ADNI) has made many important contributions to the development of Alzheimer's Disease (AD) disease modifying treatments and diagnostic biomarkers. Since its funding in 2004 by the National Institutes of Aging, the goal of ADNI has been the validation of biomarkers for AD treatment trials. ADNI has enrolled over 2,400 participants in the USA and Canada for longitudinal clinical, cognitive, and biomarker studies.

View Article and Find Full Text PDF

Background: Alzheimer's and related disorders (ADRD) represent a range of neurodegenerative conditions characterized by abnormal protein deposits in the brain. Despite advances, there is a need for enhanced diagnostic and treatment approaches that acknowledge the diversity of ADRD. This project introduces the Alzheimer's and Related Disorders Multicenter Archive (ARMA), a collaborative platform with an advanced Electronic Data Capture (EDC) system linked to Electronic Medical Records (EMR) designed to refine ADRD diagnosis and natural history understanding, thus informing precision medicine.

View Article and Find Full Text PDF

Background: Protein misfolding is a key pathological phenomenon driving neurodegenerative diseases that affect millions of people. Visualizing this misfolding process with smart imaging probes would greatly facilitate early diagnosis, etiology elucidation, disease progression monitoring, and drug discovery of neurodegeneration. Although numerous probes have been reported, several unmet needs still exist.

View Article and Find Full Text PDF

Background: Environmental factors account for a considerable percentage of dementia cases. Studies in animal models have shown that environmental enrichment (EE; i.e.

View Article and Find Full Text PDF

Background: Currently, the diagnosis of Alzheimer's disease dementia (ADD) is determined based on clinical criteria, as well as specific imaging and cerebrospinal fluid (CSF) biomarker profiles. However, healthcare professionals face a variety of challenges that hinder their application, such as the interpretation and integration or large amounts of data derived from neuropsychological assessment, the importance attributed to each source of information and the impact of unknown variables, among others. Therefore, this research focuses on the development of a computerized diagnostic tool based on Artificial Intelligence (AI), to strengthen the capacity of healthcare professionals in the identification and diagnosis of ADD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!