scholarly journals Inflammatory abdominal aortic aneurysms: A case-control study

1996 ◽  
Vol 23 (5) ◽  
pp. 860-869 ◽  
Author(s):  
Samy S. Nitecki ◽  
John W. Hallett ◽  
Anthony W. Stanson ◽  
Duane M. Ilstrup ◽  
Thomas C. Bower ◽  
...  
2016 ◽  
Vol 19 (5) ◽  
pp. E224-E228 ◽  
Author(s):  
Huifeng Yuan ◽  
Xinwei Han ◽  
Dechao Jiao ◽  
Pengli Zhou

Objective: To explore the potential risk factors of abdominal aortic aneurysm (AAA) in the Chinese population. Methods: A matched case-control study was designed for the study. Patients with AAA administrated in the First Affiliated Hospital of Zhengzhou University from January 2005 to December 2007 were included in the study. Sex and age-matched volunteers were selected for the case-control in the same period. A uniform questionnaire was sent to patients and volunteers to collect demographic data, past medical history, and behavioral factors. General physical examination, ultrasound examination of the abdominal aorta, and serological testing were used to collect clinical data. Environmental risk factors of abdominal aortic aneurysms were analyzed by conditional logistic regression. Results: A total of 465 subjects including 155 patients were enrolled in the study. Multivariate regression analysis found that people with high blood pressure have high risk of AAA (OR = 1.88, 95% CI 1.12-3.18; P = .02). Smoking is a significant independent risk factor for AAA; the morbidity of AAA in smokers is 5.23-fold of non-smokers (95% CI 2.44-11.23). Dyslipidemia (OR = 2.61, 95% CI 1.45-4.70), serum high sensitivity C-reactive protein (OR = 2.43, 95% CI 1.37-4.31), and homocysteine (OR = 2.73, 95% CI 1.61-4.65) were valuable parameters in detecting AAA. Conclusion: Hypertension and smoking are risk factors of abdominal aortic aneurysms; dyslipidemia, high-sensitivity C-reactive protein, and homocysteine levels are associated with AAA.


Clinics ◽  
2006 ◽  
Vol 61 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Telmo Pedro Bonamigo ◽  
Monica Becker ◽  
Elton Luiz Schmidt Weber ◽  
Cláudia Bianco ◽  
Fausto Miranda Jr ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242097
Author(s):  
Lukas Bruder ◽  
Jaroslav Pelisek ◽  
Hans-Henning Eckstein ◽  
Michael W. Gee

We present a data-informed, highly personalized, probabilistic approach for the quantification of abdominal aortic aneurysm (AAA) rupture risk. Our novel framework builds upon a comprehensive database of tensile test results that were carried out on 305 AAA tissue samples from 139 patients, as well as corresponding non-invasively and clinically accessible patient-specific data. Based on this, a multivariate regression model is created to obtain a probabilistic description of personalized vessel wall properties associated with a prospective AAA patient. We formulate a probabilistic rupture risk index that consistently incorporates the available statistical information and generalizes existing approaches. For the efficient evaluation of this index, a flexible Kriging-based surrogate model with an active training process is proposed. In a case-control study, the methodology is applied on a total of 36 retrospective, diameter matched asymptomatic (group 1, n = 18) and known symptomatic/ruptured (group 2, n = 18) cohort of AAA patients. Finally, we show its efficacy to discriminate between the two groups and demonstrate competitive performance in comparison to existing deterministic and probabilistic biomechanical indices.


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