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Background: The great saphenous vein (GSV) has long been recognized as the best conduit for vascular bypass procedures. Concomitant varicose veins disease may be a reason for GSV unavailability either due to dilatation and tortuosity of the vein or due to its destruction during invasive venous treatment. Objectives -to assess the rate of varicose vein patients with concomitant lower extremity arterial disease (LEAD) who have previously lost their GSV due to venous ablation. Material and Methods: A total of 285 patients (76 F, 209 M) with LEAD were consecutively enrolled. A total of 111 patients (222 limbs) underwent a detailed duplex ultrasound of the lower extremity veins for assessing suitability of the GSV as a conduit. We registered presence of varicose veins (VVs), type of previous invasive procedure and availability of saphenous veins as possible grafts. Results: The mean age of screened patients was 70.5 ± 9.1.62 (21.75%) patients had varicose veins or were operated on before due to varicose veins. A total of 42 patients with varicose veins had C2 disease, 10 had C3, 9 had C4 and 1 had C6 according to CEAP classification. A total of 222 lower extremities were examined by duplex ultrasound of which 51 limbs had VVs. Despite the presence of varicose tributaries, the GSV was suitable for bypass in 9 of those lower extremities. The GSV was not available as a conduit in 34 (19.9%) ipsilateral lower extremities in the LEAD with no VVs group and in 42 (82.6%) ipsilateral lower extremities in the LEAD with VVs group ( p = 0.0001). Varicose vein disease was associated with a higher frequency of the GSV unavailability (odds ratio 18.8, 95% confidence interval 8.35-42.35). On the 11 ipsilateral limbs (5% of LEAD patients and 21.6% of LEAD with VVs patients), the GSV was unavailable due to previous venous interventions. Conclusions: Almost 20% of patients may have both LEAD and VVs. Among those with VVs, most have the ipsilateral GSV unavailable as a potential conduit. Additionally, one fifth of limbs with VVs had GSVs destroyed previously due to saphenous ablative procedures.

Background: There are no data on the daily regimen of compression therapy in patients with chronic venous disease. This systematic review aimed to establish the optimal daily duration of compression treatment. Methods: A systematic search of CENTRAL and MEDLINE was performed to identify RCTs, non-RCTs, reviews, systematic reviews, meta-analyses, and guidelines evaluating the use of compression regimens in the treatment of varicose veins. Results: Thirty-two RCTs, three non-RCTs, four observational studies, and two crossover trials reporting the duration and regimes of compression treatment fulfilled the inclusion criteria. The daily duration of compression was reported in patients after invasive treatment, for venous ulcer treatment, in patients with venous symptoms. The quality of the studies varied. We could not conduct a meta-analysis due to the heterogeneity of the research data and their quality. Twenty-three studies reported results of compression usage after invasive procedures. Eight studies reported daily duration regimens in patients with venous ulcers. Nine studies reported the impact of compression on venous symptoms and/or edema or limb volume change. One study was conducted to assess if compression improves QoL in venous patients. While there was a clear difference found in the daily duration depending on the clinical scenario, no data in support of exact regimens were found. Conclusions: There are no reliable data supporting exact daily regimens of compression treatment in various cohorts of CVD patients.

Published scientific evidence demonstrate the current spread of healthcare misinformation in the most popular social networks and unofficial communication channels. Up to 40% of the medical websites were identified reporting inappropriate information, moreover being shared more than 450,000 times in a 5-year-time frame. The phenomenon is particularly spread in infective diseases medicine, oncology and cardiovascular medicine. The present document is the result of a scientific and educational endeavor by a worldwide group of top experts who selected and analyzed the major issues and related evidence-based facts on vein and lymphatic management. A section of this work is entirely dedicated to the patients and therefore written in layman terms, with the aim of improving public vein-lymphatic awareness. The part dedicated to the medical professionals includes a revision of the current literature, summing up the statements that are fully evidence-based in venous and lymphatic disease management, and suggesting future lines of research to fulfill the still unmet needs. The document has been written following an intense digital interaction among dedicated working groups, leading to an institutional project presentation during the Universal Expo in Dubai, in the occasion of the v-WINter 2022 meeting.

Background: Vein-specific inflammation leads to vascular smooth muscle cells proliferation and extracellular matrix degradation of vein wall. This process is known as remodeling and is promoted by "trapped" leukocytes. Monocyte chemoattractant protein 1 (MCP-1) is a chemokine responsible for trafficking of leukocytes from blood to vein wall. The aim of this study was to measure the MCP-1 concentration in varicose veins blood before and after venoactive drug therapy and to compare it with a concentration of blood from varicose veins of subjects who did not receive drug treatment., Methods: Non-randomized comparative study was conducted on 30 patients with primary varicose veins. 20 patients of the study group received diosmin 900 mg/hesperidin 100 mg once daily. 10 controls received no treatment. MCP-1 level was measured (pg/mL) in the blood from varicose veins twice, at the day of inclusion and after 60 days. Legs discomfort related to chronic venous disease (CVD) symptoms was measured with 10-cm Visual Analogue Scale (VAS) at inclusion and at completion of the study., Results: Median (interquartile range, IQR) MCP-1 concentrations in treatment and control groups at inclusion were 171.9 (124.4-216.0) and 157.0 (120.1-163.1), resp., P=0.285. After 60 days of treatment MCP-1 level decreased, but non-significantly to 152.3 (124.1-178.3). In patients who did not receive treatment chemokine level slightly increased to 163.0 (134.0-172.9). Median changes over time were -6.6 (-30.9-7.4) and 10.6 (-3.7-19.2) in the study and control groups, resp. (P=0.048). After 60 days in 12 of 19 and 2 of 9 patients of treatments and control groups MCP-1 decreased (P=0.103). Odds ratio for MCP-1 decreasing was 9.5 (95% CI 1.1-81.5, P=0.043) for those who received venoactive drug. Mean (± standard deviation [SD]) legs discomfort significantly dropped in the study group from 5.7 (±2.5) to 1.9 (±2.2) (P=0.0003), while in controls no changes were registered: 3.4 (±1.3) and 3.5 (± 1.4), resp., P=0.28). Mean difference of VAS at baseline and at follow-up was -3.5 (±2.6) and 0.9 (±2.1), resp. (P<0.0001)., Conclusions: Plasma concentration of MCP-1 in varicose veins blood demonstrates a tendency to decrease under two months treatment with a venoactive drug. Future studies are needed to reveal a possible role of MCP-1 as a target considering its role in varicose veins pathogenesis.

Consultation prioritization is fundamental in optimal healthcare management and its performance can be helped by artificial intelligence (AI)-dedicated software and by digital medicine in general. The need for remote consultation has been demonstrated not only in the pandemic-induced lock-down but also in rurality conditions for which access to health centers is constantly limited. The term "AI" indicates the use of a computer to simulate human intellectual behavior with minimal human intervention. AI is based on a "machine learning" process or on an artificial neural network. AI provides accurate diagnostic algorithms and personalized treatments in many fields, including oncology, ophthalmology, traumatology, and dermatology. AI can help vascular specialists in diagnostics of peripheral artery disease, cerebrovascular disease, and deep vein thrombosis by analyzing contrast-enhanced magnetic resonance imaging or ultrasound data and in diagnostics of pulmonary embolism on multi-slice computed angiograms. Automatic methods based on AI may be applied to detect the presence and determine the clinical class of chronic venous disease. Nevertheless, data on using AI in this field are still scarce. In this narrative review, the authors discuss available data on AI implementation in arterial and venous disease diagnostics and care.