RESUMO
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.
Assuntos
Aneurisma da Aorta Abdominal/cirurgia , Doença da Artéria Coronariana/epidemiologia , Procedimentos Endovasculares/mortalidade , Complicações Pós-Operatórias/epidemiologia , Idoso , Idoso de 80 Anos ou mais , Aneurisma da Aorta Abdominal/mortalidade , Doença da Artéria Coronariana/etiologia , Feminino , Humanos , Incidência , Masculino , Pessoa de Meia-Idade , Complicações Pós-Operatórias/etiologia , Estudos Retrospectivos , Fatores de Risco , Espanha/epidemiologia , Taxa de Sobrevida/tendências , Fatores de Tempo , Resultado do TratamentoRESUMO
BACKGROUND: According to the current guidelines, long-term survival is an important factor influencing decision making in patients with severe asymptomatic carotid stenosis. Nevertheless, data are lacking for populations with a low incidence of coronary heart disease, the main cause of death among these patients. We aimed to assess the long-term survival after carotid endarterectomy (CEA) in a Mediterranean hospital. METHODS: Retrospective analysis was conducted of 291 consecutive patients (main age 69 years, 78.7% men) who underwent a CEA for symptomatic (n = 147, 50.5%) or asymptomatic (n = 144, 49.5%) carotid stenosis in 2005-2014 at the Hospital del Mar (Barcelona, Spain). A Kaplan-Meier life table was done and a multivariable Cox regression model was built for the analysis of the long-term survival-associated risk factors. RESULTS: The immediate combined mortality and/or neurological morbidity rate was 2.7%. The mean follow-up was 55 months (complete in 99.7%). During follow-up 62 patients (21.3%) died, being cancer the most frequent cause (35.5%). Cumulative 3- and 5-year survival rates were 89% and 81%, respectively. Independent risk factors (Cox regression) related to survival included age (hazards ratio [HR] 1.09, P < 0.001), an American Society of Anesthesiologists class IV score (HR 4.04, P = 0.015), and the preoperative hemoglobin value (HR 0.73, P < 0.001). The discrimination of the resulting model was 0.719 (95% confidence interval 0.644-0.794). Previous symptomatic carotid stenosis was not related to long-term survival. CONCLUSIONS: The long-term survival of patients submitted to CEA in our series lies in the lower limit of the estimated range by other groups and is markedly related to cancer. Our study suggests that predictive models for survival are influenced by regional characteristics.