European Journal of Vascular and Endovascular Surgery最新文献

Objective: Data on the incidence of aortic dissection (AD) from population based prospective studies are scarce and its risk factors are not well studied in China. The aim of this study was to investigate the relatively accurate incidence of AD in ten regions of China and to identify its potential risk factors using a population based prospective study.

Methods: Data from a prospective cohort study involving ∼510 000 middle aged adults in ten regions of China from 2004 - 2008 (the China Kadoorie Biobank) were used. The incidence of AD was calculated and the association between potential risk factors (body mass index [BMI], hypertension, and diabetes) and the occurrence of AD was evaluated using competing risk analysis.

Results: The study included 512 724 participants (59.0% female, median age 51.5 years). During a median follow up of 121 months, 119 participants developed AD. The incidence of AD was 2.35 (95% confidence interval [CI] 1.93 - 2.77), 3.97 (95% CI 3.10 - 4.83), and 1.25 (95% CI 0.86 - 1.65) per 100 000 person years for the whole cohort, male participants, and female participants, respectively. Competing risk analysis identified female sex (hazard ratio [HR] 0.35, 95% CI 0.24 - 0.52; p < .001) and hypertension (HR 6.21, 95% CI 3.94 - 9.80; p < .001) as independent predictors of AD. BMI, diabetes, and random blood glucose were not associated with AD.

Conclusion: In contrast to previous data and clinical observations, there was no significant correlation between diabetes (or random blood glucose) or BMI and the occurrence of AD. Male sex and hypertension were independently associated with the occurrence of AD.

Objective: Outcome registries in vascular surgery are increasingly used to drive quality improvement by vascular societies. The VASCUNET collaboration, within the European Society for Vascular Surgery (ESVS), and the International Consortium of Vascular Registries (ICVR) developed a set of variables for quality improvement registries on abdominal aortic aneurysm (AAA) repair as a registry standard.

Methods: Representatives from international vascular registries within VASCUNET, ICVR, and other nations with established registries were invited to provide the variables. The final variables were developed through a two stage modified Delphi process. Variables from the established registries with at least 60% consensus among all the registries were included for round 1. A five point Likert scale (strongly disagree to fully agree) was used. If the limit of consensual agreement was not reached in round 1, the variable was discussed again in round 2. For round 2, an array question method (yes, no to unsure) was used. Agreement of at least 70% resulted in the variable being included in the final dataset.

Results: A total of 88 out of 371 variables extracted from all AAA registries were circulated in the modified Delphi process as they reached the 60% consensus threshold. The questionnaire was circulated to 55 participants (round 1: 49; 89%; round 2: 43; 78%). After two rounds, 70 variables were recommended on consensual agreement. These variables comprised demographics (n = 4), pre-operative information (n = 28), intra-operative variables (n = 18), post-operative variables (n = 5), and follow up (n = 13).

Conclusion: Based on this modified Delphi process, an international panel of vascular surgeons representing quality improvement registries recommended 70 core variables as standard in registries on AAA repair. The inclusion of a core set of variables in AAA vascular registries may help to further harmonise observational research and quality of AAA repair among global healthcare systems.

Objective: The decision to electively repair an abdominal aortic aneurysm (AAA) involves balancing the risk of rupture, periprocedural mortality, and life expectancy. Random forest classifiers (RFCs) are powerful machine learning algorithms. The aim of this study was to construct and validate a random forest machine learning tool to predict two year survival following elective AAA repair.

Methods: All patients who underwent elective open or endovascular repair of AAA from 1 January 2008 to 31 March 2021 were reviewed. They were assessed using the Vascular Surgery Quality Improvement Program pathway involving cardiopulmonary exercise testing, contrast enhanced computerised tomography scan, and multidisciplinary assessment. Patients were followed up for at least two years. A RFC was developed using 70% of the dataset and validated using 30% to predict survival for at least two years following AAA repair.

Results: A total of 925 patients (n = 836 men; n = 89 women) underwent elective repair of AAA; 126 (13.6%) died during the first two years; 11 (1.2%) died from periprocedural mortality. Variable importance analysis suggested that anaerobic threshold, pre-operative haemoglobin, maximal O₂ consumption, body mass index, risk category, and forced expiratory volume in 1 second - forced vital capacity ratio were the most important contributors to the model. Sensitivity and specificity of the RFC for prediction of two year survival following surgery was 96.7% (95% CI 94.4 - 99%) and 67.1% (95% CI 61 - 72%); overall accuracy: 92.6% (95% CI 88 - 95%) (positive predictive value: 0.93, negative predictive value: 0.80); 10-fold cross validation revealed area under the receiver operator characteristic curve of 0.88.

Conclusion: RFCs based on readily available clinical data can successfully predict survival in the first two years following elective repair of AAA. Such information can contribute to the risk benefit assessment when deciding to electively repair AAAs.

Objective: The clinical significance of family history (FH) of aortic disease on the outcomes of fenestrated and branched endovascular aneurysm repair (FB-EVAR) has not been well described. This study aimed to assess how FH of aortic disease affects outcomes following FB-EVAR for complex aortic aneurysms (CAAs).

Methods: This study retrospectively reviewed the clinical data of consecutive patients enrolled in 10 ongoing, prospective, non-randomised, physician sponsored, investigational device exemption studies to evaluate FB-EVAR (2005 - 2022) in the United States Aortic Research Consortium database. Patients were stratified by presence or absence of FH of any aortic disease in any relative. Patients with confirmed genetically triggered aortic diseases were excluded. Primary outcomes were 30 day major adverse events (MAEs) and late survival. Secondary outcomes included late secondary interventions and aneurysm sac enlargement.

Results: During the study period, 2 901 patients underwent FB-EVAR. A total of 2 355 patients (81.2%) were included in the final analysis: 427 (18.1%) with and 1 928 (81.9%) without a FH of aortic disease. Patient demographics, clinical characteristics, and aneurysm extent were similar between the groups. Patients with a FH of aortic disease more frequently had prior open abdominal aortic repair, but less frequently had prior endovascular aneurysm repair (p < .050). There were no statistically significant differences in 30 day mortality (4% vs. 2%; p = .12) and MAEs (12% vs. 12%; p = .89) for patients with or without a FH of aortic disease. Three year survival estimates were 71% (95% confidence interval [CI] 67 - 78%) and 71% (95% CI 68 - 74%), respectively (p = .74). Freedom from secondary intervention and aneurysm sac enlargement were also not statistically significantly different between groups.

Conclusion: A FH of aortic disease had no impact on 30 day or midterm outcomes of FB-EVAR of CAAs. In the absence of an identified genetically triggered aortic disease, treatment selection for CAAs should be based on clinical risk and patient anatomy rather than FH of aortic disease.