Long-term results of thoracic endovascular aortic repair in atherosclerotic aneurysms involving the descending aorta. 2010

Martin Czerny, and Martin Funovics, and Gottfried Sodeck, and Julia Dumfarth, and Maria Schoder, and Andrzej Juraszek, and Tomasz Dziodzio, and Daniel Zimpfer, and Christian Loewe, and Johannes Lammer, and Raphael Rosenhek, and Marek Ehrlich, and Michael Grimm
Department of Cardiovascular Surgery, University Hospital Berne, Berne, Switzerland. michael.grimm@meduniwien.ac.at

OBJECTIVE This study evaluated long-term results of thoracic endovascular aortic repair for atherosclerotic aneurysms involving descending aorta. METHODS One hundred thirteen patients underwent thoracic endovascular aortic repair for this indication from 1996 to 2009. Mean follow-up was 54 ± 38 months (5-144 months). In-hospital mortality, neurologic injury, need for rerouting, occurrence of endoleaks and their treatment, and survival were recorded. RESULTS In-hospital mortality was 5.3%. Transient neurologic injury rate was 2.6%. Previous rerouting was performed in 51%. Assisted early and late type I and III endoleak rates were 7.9% and 5.7%, respectively. Five percent of patients required late surgical conversion. Actuarial survivals were 86%, 60%, and 42% at 1, 5, and 10 years, respectively. Aorta-related actuarial survivals were 94%, 90%, and 83% at 1, 5, and 10 years, respectively. Cox regression analysis revealed higher number of prostheses as independent risk factor for early (hazard ratio, 5.38; 95% confidence interval, 1.68-42.37) and late (hazard ratio, 8.49; 95% confidence interval, 1.09-66.06) endoleak formation. Female sex (hazard ratio, 0.35; 95% confidence interval, 0.13-0.99), no arch involvement (hazard ratio, 0.21; 95% confidence interval, 0.05-0.08), and higher number of prostheses (hazard ratio, 7.95; 95% confidence interval, 1.36-46.58) affected survival. CONCLUSIONS Aorta-related survival is excellent among patients undergoing thoracic endovascular aortic repair for atherosclerotic aneurysms involving the descending aorta. Life-long surveillance remains mandatory, with early and late failure uncommon but still needing consideration. Thoracic endovascular aortic repair in this group of patients remains attractive and has now proven durability.

UI MeSH Term Description Entries
D008297 Male Males
D012086 Reoperation A repeat operation for the same condition in the same patient due to disease progression or recurrence, or as followup to failed previous surgery. Revision, Joint,Revision, Surgical,Surgery, Repeat,Surgical Revision,Repeat Surgery,Revision Surgery,Joint Revision,Revision Surgeries,Surgery, Revision
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D001317 Austria A country located in Central Europe, north of Italy and Slovenia. The capital is Vienna.
D012307 Risk Factors An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent. Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor
D013997 Time Factors Elements of limited time intervals, contributing to particular results or situations. Time Series,Factor, Time,Time Factor
D016009 Chi-Square Distribution A distribution in which a variable is distributed like the sum of the squares of any given independent random variable, each of which has a normal distribution with mean of zero and variance of one. The chi-square test is a statistical test based on comparison of a test statistic to a chi-square distribution. The oldest of these tests are used to detect whether two or more population distributions differ from one another. Chi-Square Test,Chi Square Distribution,Chi Square Test,Chi-Square Distributions,Chi-Square Tests,Distribution, Chi-Square,Distributions, Chi-Square,Test, Chi-Square,Tests, Chi-Square
D016016 Proportional Hazards Models Statistical models used in survival analysis that assert that the effect of the study factors on the hazard rate in the study population is multiplicative and does not change over time. Cox Model,Cox Proportional Hazards Model,Hazard Model,Hazards Model,Hazards Models,Models, Proportional Hazards,Proportional Hazard Model,Proportional Hazards Model,Cox Models,Cox Proportional Hazards Models,Hazard Models,Proportional Hazard Models,Hazard Model, Proportional,Hazard Models, Proportional,Hazards Model, Proportional,Hazards Models, Proportional,Model, Cox,Model, Hazard,Model, Hazards,Model, Proportional Hazard,Model, Proportional Hazards,Models, Cox,Models, Hazard,Models, Hazards,Models, Proportional Hazard

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