Specific geometric parameters in AAA models in the presence of ILT could serve as potential predictors of elevated PWS. PWS correlated significantly with the maximum diameter and the degree of centreline tortuosity. Centreline tortuosity may become a useful addition to maximum diameter in the decision-making process of AAA treatment.

Aortic endograft infection is a rare complication after EVAR. Surgical treatment with complete explantation of the infected endograft seems to be the optimal management in selected patients. Supportive medical treatment without surgical intervention has a significant associated mortality.

Our analysis provides evidence to motivate the adoption of an EVAR-first policy in a nonelective setting and the establishment of standardized protocols for the management ruptured AAAs.

We examined the effectiveness of teaching ankle-brachial index (ABI) measurement to medical students. ABI was estimated in 28 lower limbs by an experienced vascular surgeon. After a 2-week training course, 5 fourth-year students repeated the estimations and their results were compared with that of the trainer's. There was no difference in ABI values between trainees and trainer for subjects with mild-to-moderate peripheral arterial disease (PAD; 0.77 ± 0.22 vs 0.77 ± 0.19, respectively, P = .95). In the 4 normal limbs, ABI was 1.37 ± 0.12 and 1.16 ± 0.11, as measured by the trainer and the trainees, respectively (P < .00001). In subjects with severe PAD, trainees tended to overestimate ABI (P = .0002) in the beginning of the educational process, but this was no longer the case at a later stage of the training with no difference in ABI values between the 2 examiner groups (P = .09). In conclusion, training of medical students in ABI measurement can be helpful toward accurate estimation of PAD and merits further practice.

In about half of patients with unilateral varicosities, CVD developed in the contralateral initially asymptomatic limb in 5 years. CVD progression consisted of reflux development and clinical deterioration of the affected limbs. Obesity, orthostatism, and noncompliance with ESU were independent risk factors for CVD progression, but ET and multiparity were not. Maintenance of a normal body weight, limitation of prolonged orthostatism, and systematic ESU may be recommended in patients with CVD to limit future disease progression.

When considering primary success, it appears that larger-bore femoral access sheaths (≥ 20-F) introduced for percutaneous EVAR after pre-application of SMCDs are predictors of primary failure and the need for conversion to a femoral cutdown. More advanced large-bore SMCDs are required to further reduce the necessity for conversion. Planned use of multiple SMCDs might be more beneficial when ≤ 18-F sheaths are required.

ESRD diabetics with radial artery Mönckeberg calcifications receiving RCFs had worse late clinical outcomes compared with ESRD diabetics with healthy distal arm vessels receiving the same access. The long-term benefit of RCFs may be lost in diabetics with extensively calcified vessels, and preferably the brachial artery should be used instead.

In current clinical practice, aneurysm diameter is one of the primary criteria used to decide when to treat a patient with an abdominal aortic aneurysm (AAA). It has been shown that simple association of aneurysm diameter with the probability of rupture is not sufficient, and other parameters may also play a role in causing or predisposing to AAA rupture. Peak wall stress (PWS), intraluminal thrombus (ILT), and AAA wall mechanics are the factors most implicated with rupture risk and have been studied by computational risk evaluation techniques. The objective of this review is to examine these factors that have been found to influence AAA rupture. The prediction rate of rupture among computational models depends on the level of model complexity and the predictive value of the biomechanical parameters used to assess risk, such as PWS, distribution of ILT, wall strength, and the site of rupture. There is a need for simpler geometric analogues, including geometric parameters (e.g., lumen tortuosity and neck length and angulation) that correlate well with PWS, conjugated with clinical risk factors for constructing rupture risk predictive models. Such models should be supported by novel imaging techniques to provide the required patient-specific data and validated through large, prospective clinical trials.