Introduction Superficial venous aneurysms are uncommon entities though venous Doppler has facilitated the detection of asymptomatic small aneurysms. Thromboembolic complications are rare with superficial venous aneurysms. The data regarding optimal therapy and pathogenesis of superficial venous aneurysm is sparse and is limited to isolated case reports.Methods Here, we present an unusual case of thrombosed large great saphenous vein aneurysm which was managed with Doppler, preoperative anticoagulation and surgical excision. Results and conclusion This paper is intended to review the current knowledge about the pathogenesis of superficial venous aneurysm of lower extremities, their optimal management and to guide future research in this area.

Ruptured popliteal artery aneurysm is a rare entity, which can cause severe nerve neuropathy. Open surgical repair is the preferred treatment for ruptured popliteal artery aneurysm but may aggravate nerve injuries or lead to postoperative aneurysm enlargement. The current surgical techniques for ruptured popliteal artery aneurysm have some deficiencies.

We present the case of a 78-year-old woman with sudden swelling of left knee joint and left foot drop, which was caused by the ruptured popliteal artery aneurysm and its compression. A modified open surgical repair was applied in our case, and glucocorticoid therapy was given perioperatively.

The motor function of left lower limb had rapidly recovered after operation, and six-month follow-up showed patency of prosthetic vessel and significant shrinkage of aneurysm sac.

Our modified open surgical repair can relieve the compression and prevent possible “type II endoleak” without dissecting in popliteal fossa. Acute common peroneal nerve neuropathy and foot drop are reversible with immediate removal of compression and glucocorticoid therapy for patients with ruptured popliteal artery aneurysm.

Our modified open surgical repair can relieve the compression and prevent possible “type II endoleak” without dissecting in popliteal fossa. Acute common peroneal nerve neuropathy and foot drop are reversible with immediate removal of compression and glucocorticoid therapy for patients with ruptured popliteal artery aneurysm.

While the percutaneous approach is increasingly preferred, suture-mediated closure devices have been put into clinical practice to close the femoral artery during procedures requiring a large-sized introducer. However, scar in the groin is considered a contraindication or an exclusion criterion for percutaneous procedures. The aim of our study was to investigate the outcomes and safety of Pro-Glide device as suture-mediated closure device in patients who underwent thoracic endovascular aortic repair with percutaneous femoral access ≥22 F who had previous groin intervention.

A total of 73 patients who underwent endovascular repair with percutaneous femoral access were retrospectively included in the study. Previous groin intervention was defined as history of open surgical access or large sheath insertion (>18 F) to femoral artery because of endovascular or valvular intervention. Patients were divided into two groups as who had previous groin intervention PGI (+) and had not PGI (-).

A total of 73 patss in patients with PGI and might not be considered as a contraindication for patients with history of PGI.

The study evaluates the plausibility and applicability of prediction, pattern recognition and modelling of complications post-endovascular aneurysm repair (EVAR) by artificial intelligence for more accurate surveillance in practice.

A single-centre prospective data collection on (

 = 250) EVAR cases with

 = 26 preoperative attributes (factors) on endpoint of endoleak (types I-VI), occlusion, migration and mortality over a 13-year period was conducted. In addition to the traditional statistical analysis, data was subjected to machine learning algorithm through artificial neural network. The predictive accuracy (specificity and -1 sensitivity) on each endpoint is presented with percentage and receiver operative curve. The pattern recognition and model classification were conducted using discriminate analysis, decision tree, logistic regression, naive Bayes and support vector machines, and the best fit model was deployed for pattern recognition and modelling.

The accuracy of the training, validation and predictive ability of artificial neural network in detection of endoleak type I was 95, 96 and 94%, type II (94, 83, 90 and 82%) and type III was 96, 94 and 96%, respectively. Endpoints are associated with increase in weights through predictive modeling that were not detected through statistical analytics. G150 nmr The overall accuracy of the model was >86%.

The study highlights the applicability, accuracy and reliability of artificial intelligence in the detection of adverse outcomes post-EVAR for an accurate surveillance stratification.

The study highlights the applicability, accuracy and reliability of artificial intelligence in the detection of adverse outcomes post-EVAR for an accurate surveillance stratification.

Approximately three billion people in Asia, Africa, and the Americas cook with biomass, cleaner cooking technologies with the potential to reduce household air pollution exposure. It is necessary to assess the adoption and long-term use of these stoves, measure perceived benefits among users, and use this information to provide feedback to programs that are implementing new cooking technologies. The aim of this study is to determine the level of adoption and impact of improved biomass cookstoves in the rural area of Lambayeque, Peru, in 2017.

A descriptive cross-sectional study was conducted. A total of 52 homes were surveyed in the districts of Pacora and Íllimo where improved biomass stoves were introduced between 2005 and 2013. A questionnaire for the assessment of adoption and impact indexes proposed by the

was applied. The STROBE checklist was used.

The mean number of years with the improved biomass cookstove was 9.1 (standard deviation 2.9); 51.9% always used the improved stove, and 34.6% never used it due to destruction during the El Niño phenomenon in 2017.