Survival After Endovascular Abdominal Aortic Aneurysm Repair in a Population with a Low Incidence of Coronary Artery Disease View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-05

AUTHORS

Nerea Sevilla, Albert Clara, Carles Diaz-Duran, Carlos Ruiz-Carmona, Sara Ibañez

ABSTRACT

BACKGROUND: Endovascular aortic aneurysm repair (EVAR) is a prophylactic procedure, so the decision to operate should consider, as recent guidelines suggest, the life expectancy of the patient. Several models for predicting life span have been already designed, but little is known about how intervened patients evolve in Southern European Countries, where the incidence of coronary artery disease, the main cause of death among these subjects, is low. METHODS: We conducted a retrospective analysis of 176 consecutive patients who underwent elective EVAR at the Vascular Surgery Department of the Hospital del Mar (Barcelona, Spain) during 2000-2014. Cox regressions were performed to identify preoperative factors associated with long-term survival after EVAR, and a risk model was developed. RESULTS: Three- and five-year survival rates were 73.9 and 53.9 %, respectively. During the follow-up, 72 deaths (40.9 %) were registered, cancer being the most frequent cause (41.7 %). Preoperative variables negatively associated with long-term survival were serum creatinine ≥ 150 µmol/L (HR 2.5; 95 % CI 1.4-4.2), chronic obstructive pulmonary disease (HR 1.9; 95 % CI 1.2-3.1), atrial fibrillation (HR 2.0; 95 % CI 1.2-3.4), and prior cancer history (HR 1.9; 95 % CI 1.2-3.1). Distal pulses present in both lower limbs were marginally associated with survival (HR 0.65; 95 % CI 0.4-1.07). The survival predictive model showed a good discrimination capacity (C statistic = 0.703; 95 % CI 0.641-0.765). CONCLUSIONS: Long-term survival of patients submitted to EVAR in our setting was worse than expected and markedly related to cancer. Our study suggests that predictive models for long-term survival after EVAR may be influenced by regional characteristics of the intervened population. This effect should be taken in consideration in the decision-making process of these patients. More... »

PAGES

1272-1278

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00268-015-3377-x

DOI

http://dx.doi.org/10.1007/s00268-015-3377-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008403459

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26711643


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53 schema:description BACKGROUND: Endovascular aortic aneurysm repair (EVAR) is a prophylactic procedure, so the decision to operate should consider, as recent guidelines suggest, the life expectancy of the patient. Several models for predicting life span have been already designed, but little is known about how intervened patients evolve in Southern European Countries, where the incidence of coronary artery disease, the main cause of death among these subjects, is low. METHODS: We conducted a retrospective analysis of 176 consecutive patients who underwent elective EVAR at the Vascular Surgery Department of the Hospital del Mar (Barcelona, Spain) during 2000-2014. Cox regressions were performed to identify preoperative factors associated with long-term survival after EVAR, and a risk model was developed. RESULTS: Three- and five-year survival rates were 73.9 and 53.9 %, respectively. During the follow-up, 72 deaths (40.9 %) were registered, cancer being the most frequent cause (41.7 %). Preoperative variables negatively associated with long-term survival were serum creatinine ≥ 150 µmol/L (HR 2.5; 95 % CI 1.4-4.2), chronic obstructive pulmonary disease (HR 1.9; 95 % CI 1.2-3.1), atrial fibrillation (HR 2.0; 95 % CI 1.2-3.4), and prior cancer history (HR 1.9; 95 % CI 1.2-3.1). Distal pulses present in both lower limbs were marginally associated with survival (HR 0.65; 95 % CI 0.4-1.07). The survival predictive model showed a good discrimination capacity (C statistic = 0.703; 95 % CI 0.641-0.765). CONCLUSIONS: Long-term survival of patients submitted to EVAR in our setting was worse than expected and markedly related to cancer. Our study suggests that predictive models for long-term survival after EVAR may be influenced by regional characteristics of the intervened population. This effect should be taken in consideration in the decision-making process of these patients.
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