SCMH Dr Paul Welsh has paper published in AHA Journal Circulation
Published: 1 September 2021
A risk score might improve the way patients are selected for ultrasound screening to detect abdominal aortic aneurysm
Derivation and Validation of a 10-Year Risk Score for Symptomatic Abdominal Aortic Aneurysm: Cohort Study of Nearly 500 000 Individuals
Paul Welsh, Claire E. Welsh, Pardeep S. Jhund, Mark Woodward, Rosemary Brown, Jim Lewsey, Carlos A. Celis-Morales, Frederick K. Ho, Daniel F. MacKay, Jason M.R. Gill, Stuart R. Gray, S. Vittal Katikireddi, Jill P. Pell, John Forbes, Naveed Sattar
Full article available here: ahajournals.org
Background:
Abdominal aortic aneurysm (AAA) can occur in patients who are ineligible for routine ultrasound screening. A simple AAA risk score was derived and compared with current guidelines used for ultrasound screening of AAA.
Methods:
United Kingdom Biobank participants without previous AAA were split into a derivation cohort (n=401 820, 54.6% women, mean age 56.4 years, 95.5% White race) and validation cohort (n=83 816). Incident AAA was defined as first hospital inpatient diagnosis of AAA, death from AAA, or an AAA-related surgical procedure. A multivariable Cox model was developed in the derivation cohort into an AAA risk score that did not require blood biomarkers. To illustrate the sensitivity and specificity of the risk score for AAA, a theoretical threshold to refer patients for ultrasound at 0.25% 10-year risk was modeled. Discrimination of the risk score was compared with a model of US Preventive Services Task Force (USPSTF) AAA screening guidelines.
Conclusions:
In an asymptomatic general population, a risk score based on patient age, height, weight, and medical history may improve identification of asymptomatic patients at risk for clinical events from AAA. Further development and validation of risk scores to detect asymptomatic AAA are needed.
PDF/EPUB Can be downloaded here
First published: 1 September 2021
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Sources of Funding
This work was supported by Chest, Heart, and Stroke Association Scotland (Res16/A165). S.V.K. acknowledges funding from a NHS Research Scotland Senior Clinical Fellowship (SCAF/15/02), the Medical Research Council (MC_UU_00022/2), and the Scottish Government Chief Scientist Office (SPHSU17).