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Updated: May 31, 2025
Manufacturing Abdominal Aorta Hydrogel Tissue-Mimicking Phantoms for Ultrasound Elastography Validation
Published on: September 19, 2018
Differential Risk Profiles of Incident Abdominal Aortic Aneurysms in Specific Subgroups: A Large Cohort-based Study
Yudiyang Ma1,2, Jianing Wang2, Linxi Tang2
1Hubei Key Laboratory of lschemic Cardiovascular Disease, The First College of Clinical Medical Science, China Three Gorges University and Yichang Central People's Hospital, Yichang, China.
Objective:
To explore the risk profiles associated with abdominal aortic aneurysm (AAA) incidence in both the general population and diverse subpopulations.
Background:
AAA is a life-threatening arterial disease, and there is limited understanding of its etiological spectrum across the age, sex, and genetic risk subgroups, making early prevention efforts more complicated.
Methods:
This study encompassed a sample size of 364399 participants from the UK. Utilizing the Cox proportional hazards model, we estimated hazard ratio and population attributable fraction (PAF) for 24 risk factors and 5 weighted risk scores associated with AAA incidence. Subsequently, this study investigated the relationships between AAA onset and various risk factors based on age, sex, and genetic susceptibility subgroups, and assessed the 2 and 3-way interactions.
Results:
After a median follow-up of 12.62 years, 1684 participants developed AAA. Among the 24 risk factors from 5 different aspects, 12 risk factors were significantly associated with AAA development. Sociodemographic factors (age and sex) and genetic factors accounted for the majority of AAA cases in both the general population and diverse subpopulations. For lifestyle factors, AAA cases attributable to smoking are larger in the aged group (PAF: 15.45% vs 11.25%) and women (PAF: 23.79% vs 16.75%). Similarly, physical inactivity had a greater effect on AAA risk in women (4.84% vs 1.95%), but no age and genetic risk differences were observed. PAF of high C-reactive protein was the most prominent of all cardiometabolic factors across different age, sex, and genetic risk strata, with 18.92% (<60 years) and 13.71% (≥60 years) in age groups, 18.18% (women) and 13.31% (men) in sex groups, and 17.64% (intermediate genetic risk) and 13.01% (high genetic risk) in genetic risk groups. Clinical comorbidities, such as cardiovascular diseases, dyslipidemia, and hypertension, were significantly associated with the risk of incident AAA, and these factors exerted a greater influence on AAA risk in younger groups, women, and those with low genetic risk ( P for interaction <0.05).
Conclusions:
This study depicted specific risk profiles that influence AAA incidence among the general population and diverse subpopulations, thereby aiding in the formulation of precise and effective strategies for AAA prevention.
