scholarly journals Abdominal Aortic Aneurysm and Aortic Occlusive Disease: a Comparison of Risk Factors and Inflammatory Response

2000 ◽  
Vol 20 (5) ◽  
pp. 462-465 ◽  
Author(s):  
D Shteinberg ◽  
M Halak ◽  
S Shapiro ◽  
A Kinarty ◽  
E Sobol ◽  
...  
Keyword(s):  
Risk Factors ◽  
Abdominal Aortic Aneurysm ◽  
Aortic Aneurysm ◽  
Inflammatory Response ◽  
Occlusive Disease ◽  
Abdominal Aortic

scholarly journals Risk factors in abdominal aortic aneurysm and aortoiliac occlusive disease and differences between them in the Polish population

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Joanna Mikołajczyk-Stecyna ◽  
Aleksandra Korcz ◽  
Marcin Gabriel ◽  
Katarzyna Pawlaczyk ◽  
Grzegorz Oszkinis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Abdominal Aortic Aneurysm ◽  
Aortic Aneurysm ◽  
Environmental Factors ◽  
Occlusive Disease ◽  
Polish Population ◽  
Aortoiliac Occlusive Disease ◽  
Vascular Disorders ◽  
Abdominal Aortic ◽  
Genetic And Environmental Factors

Abstract Abdominal aortic aneurysm (AAA) and aortoiliac occlusive disease (AIOD) are multifactorial vascular disorders caused by complex genetic and environmental factors. The purpose of this study was to define risk factors of AAA and AIOD in the Polish population and indicate differences between diseases.

scholarly journals Erratum: Risk factors in abdominal aortic aneurysm and aortoiliac occlusive disease and differences between them in the Polish population

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Joanna Mikołajczyk-Stecyna ◽  
Aleksandra Korcz ◽  
Marcin Gabriel ◽  
Katarzyna Pawlaczyk ◽  
Grzegorz Oszkinis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Abdominal Aortic Aneurysm ◽  
Aortic Aneurysm ◽  
Occlusive Disease ◽  
Polish Population ◽  
Aortoiliac Occlusive Disease ◽  
Abdominal Aortic

Abstract P392: Utilization of Electronic Medical Records to Identify Risk Factors for Abdominal Aortic Aneurysm

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Diane T Smelser ◽  
Gerardus Tromp ◽  
James R Elmore ◽  
S. H Kuivaniemi ◽  
David P Franklin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Abdominal Aortic Aneurysm ◽  
Aortic Aneurysm ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Occlusive Disease ◽  
Epidemiological Methods ◽  
Abdominal Aortic ◽  
Increased Risk ◽  
Group Frequency

Introduction: Electronic medical records (EMR) contain a wealth of phenotypic information with high potential to replace costly traditional epidemiological methods for purposes such as determining disease risk factors. EMRs designed for clinical and billing applications frequently do not meet the standardization and quality of data essential for biomedical research. Hypothesis: Using abdominal aortic aneurysm (AAA) as a model, we assessed the hypothesis that utilizing EMR in a retrospective study is comparable to traditional epidemiologic methods for risk factor assessment of a complex disease. Methods: The Geisinger Health System is the main health provider serving a highly stable population in central and northeastern Pennsylvania. Clinical and diagnostic data from January 2004 to December 2009 were extracted from the Geisinger EMR. The study population consisted of cases diagnosed with AAA ( n =964) and controls without AAA from the Geisinger MyCode ® biobanking repository ( n =14,555). The de-identified dataset was cleaned and formatted for research purposes. Data were analyzed unmatched, then cases were matched to controls on the confounders of sex, age, body mass index and smoking status. Matching was performed randomly, by propensity score and by group-frequency procedures. Bootstrap replication procedures (with and without replacement) confirmed the reproducibility of the results. Results: We replicated the direction and magnitude of several risk factors commonly noted in traditional epidemiologic AAA studies. Type 2 diabetes was associated with a decreased risk (OR=0.61, 95%CI 0.40–0.93). Peripheral artery disease (OR=2.94, 95%CI 1.81–4.78), kidney disease (OR=2.78, 95%CI 1.68–4.61), coronary occlusive disease (OR=2.64, 95%CI 1.79–3.88), cranial artery occlusive disease (OR=4.82, 95%CI 2.84–8.16), and pulmonary disease (OR=2.14, 95%CI 1.44–3.20) were all associated with an increased risk of AAA. In our population, the diagnosis of benign neoplasms was significantly inversely associated with AAA, a novel finding (OR=0.55, 95%CI 0.38–0.80). Pulse pressure was the most significant measure of hypertension associated with AAA (OR of 1.25 per 10 mmHg). Conclusions: This study demonstrated that EMR data can be feasibly used to assess risk factors and identify new associations. These findings could serve to enhance the current AAA screening guidelines to more efficiently target patients and increase screening utilization.

scholarly journals Abdominal aortic aneurysm expansion: Risk factors and time intervals for surveillance

2004 ◽  
Vol 13 (10) ◽  
pp. 44-45 ◽  
Author(s):  
A.R. Brady ◽  
S.G. Thompson ◽  
F.G.R. Fowkes ◽  
R.M. Greenhalgh ◽  
J.T. Powell
Keyword(s):  
Risk Factors ◽  
Abdominal Aortic Aneurysm ◽  
Aortic Aneurysm ◽  
Time Intervals ◽  
Abdominal Aortic

Abstract 032: Associations between Middle-age Risk Factors and Future Risk of Abdominal Aortic Aneurysm: The Atherosclerosis Risk in Communities (ARIC) Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Weihong Tang ◽  
Alvaro Alonso ◽  
Pamela L Lutsey ◽  
Frank A Lederle ◽  
Lu Yao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Abdominal Aortic Aneurysm ◽  
Aortic Aneurysm ◽  
Middle Age ◽  
Disease Risk ◽  
Atherosclerotic Disease ◽  
Cross Sectional ◽  
Abdominal Aortic ◽  
Aric Study

Introduction: Abdominal aortic aneurysm (AAA) is an important manifestation of vascular disease in older age and rupture of an AAA is a life threatening condition. Traditional atherosclerotic disease risk factors, particularly male sex, smoking and hypertension, are known to contribute to the etiology of AAA. However, epidemiologic studies of AAA have often been cross-sectional, and few have employed a prospective cohort design, especially with long follow-up. The objective of this study was to prospectively assess the association between atherosclerotic disease risk factors and hospitalized AAA in 15,722 participants (68% whites) of the ARIC study, a large, community-based cohort. Methods: Risk factors were measured at baseline at 45-64 year of age. Clinical AAAs were ascertained through hospital discharge diagnoses or death certificates. Over 15 years of follow-up, a total of 265 AAAs (85.3% whites) were identified, including repair procedures, AAA rupture or dissection, and incidental detection. Multivariable Cox proportional hazard models were used to estimate the association of risk factors with the risk of future AAA. Results: Consistent with the literature from prospective studies, we identified age, male gender, white race, smoking, height, total and HDL cholesterols, triglycerides, white blood cell count, and hypertension as risk factors for AAA (Table). In addition, LDL-C, fibrinogen, and peripheral artery disease that were previously reported only in cross-sectional case-control studies were also strongly associated with AAA (Table). Body mass index, diabetes, and alcohol consumption were not associated with AAA occurrence. Conclusions: Several lifestyle and clinical variables measured in middle-age were strong risk factors for future AAA during a long follow-up.

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