Search

Objective: Patients with symptomatic lower extremity artery disease (LEAD) should have an optimal management in terms of lipid goal [i.e. controlled LDL-cholesterol (LDLc)] and medical treatment (triple therapy with an antiplatelet agent, a statin and an angiotensin-converting enzyme inhibitor or a angiotensin-receptor antagonist). Prevalence of LEAD patients with a LDLc < 0.55 g/l is unknown. Aims of this study were to: (i) describe the prevalence of patients with a LDLc < 0.55 g/l, (ii) describe the prevalence of patients with an optimal medical treatment; (iii) compare this management between patients with a vascular surgery history and those without a vascular surgery history; and (iv) evaluate the number of patients eligible for new lipid-lowering therapies according to FOURIER and REDUCE-IT criteria., Methods: In this single-center retrospective study, prevalence is expressed as numbers and percentages. Comparison of the number of well managed patients between LEAD patients with a vascular surgery history and those without was performed. Number of patients who would be eligible for FOURIER and REDUCE-IT studies were calculated., Results: Among the LEAD patients included in the analysis (n = 225), only 12.4% (n = 28) had a LDLc < 0.55 g/L. The prevalence of patients who received the optimal medical treatment was 50.7% (n = 114). There was no statistical difference in the prevalence of patients with and without vascular surgery history achieving the LDLc goal (n = 9 (10.6%) vs. n = 19 (13.6%); p = not significant). Ninety-three patients (46.0%) would be eligible for EVOLOCUMAB treatment according to the Fourier study design whereas 17 patients (8.4%) would be eligible for treatment with ICOSAPENT ETHYL according to the REDUCE-IT study design., Conclusion: A majority of LEAD patients did not reach the LDLc goals. LEAD patients with a vascular surgery history did not experience a better management whereas they had a more consistent follow-up., (© 2024. The Author(s).)

Objective: The objective was to assess the accuracy and optimal threshold of the Walking Impairment Questionnaire (WIQ) and the Walking Estimated-Limitation Calculated by History (WELCH) questionnaire in identifying patients with a maximal walking distance (MWD) below or equal to 250 m., Methods: This retrospective study screened 388 consecutive patients with suspected symptomatic lower extremity arterial disease (LEAD). Collected data included the patient's history, resting ankle-brachial index, WIQ, and WELCH. MWD was assessed with a treadmill test at 2 mph (3.2 km/h) with a 10% grade. An optimized threshold for detection of MWD ≤ 250 m was determined for each questionnaire via receiver operating characteristic (ROC) curves. Subsequently, multivariate analysis was performed to build a new simple score to detect MWD ≤ 250 m., Results: The study included 297 patients (63 ± 10 years old). With a threshold of ≤ 64%, the WIQ predicted MWD ≤ 250 m with an accuracy of 71.4% (66.2, 76.5%). With a threshold of ≤ 22, the WELCH predicted a treadmill walking distance of ≤ 250 m with an accuracy of 68.7% (63.4, 74.0%). A new score with only four "yes or no" questions had an accuracy of 71.4% (66.3, 76.6%). Items on this new score consisted of the level of difficulty of walking 1 block, declared maximum walking distance, usual walking speed, and maximum duration of slow walking., Conclusion: A WIQ score ≤ 64% and a WELCH score ≤ 22 help to predict a walking distance of ≤ 250 m in a treadmill test at 2 mph (3.2 km/h) with a 10% grade. A 4-item score could be used for rapid evaluation of walking distance among patients with LEAD, but the validity of this 4-item score requires further confirmation studies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Tollenaere, Métairie, Le Pabic, Le Faucheur and Mahé.)

Objectives: Ankle-brachial index (ABI) is commonly used for screening lower extremity peripheral artery disease (PAD) according to the international guidelines. Arterial Doppler waveform recordings is a tool to diagnose and assess PAD severity. We hypothesized that ABI measurement could be simplified by measuring only the pressure where the best arterial flow is recorded. The aim of this study was to evaluate the concordance between ABI performed according to the American Heart Association guidelines (AHA-ABI) and ABI measured according to best arterial waveform (FLOW-ABI)., Design: This was a monocentric cross-sectional study., Methods: We included patients with exertional limb symptoms suspected of PAD. Arterial Doppler waveforms and ABI were acquired on both lower extremities at the pedis and tibial posterior arteries. Each arterial waveform was classified using the Saint-Bonnet classification. Concordances were analyzed with the kappa coefficient (confidence interval 95%). Exercise PAD study was registered n° NCT03186391., Results: In total, one hundred and eighty-eight patients (62+/-12 years and 26.8+/-4.5 kg/m 2 ) with exertional limb symptoms were included from May 2016 to June 2019. On each extremity, FLOW-ABI had excellent concordance for the diagnosis of PAD with the AHA-ABI with a kappa of 0.95 (95% CI: 0.90, 0.99) in the right extremity and 0.91 (95% CI: 0.86, 0.97) in the left extremity., Conclusion: There is almost perfect concordance between AHA-ABI and FLOW-ABI. Thus, ABI can be simplified into five pressure measurements instead of seven in patient suspected of PAD with exertional limb symptoms. The question remains in patients with chronic limb ischemia., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Métairie, Tollenaere, Lanéelle, Le Faucheur, Le Pabic, Omarjee and Mahé.)

Purpose: Endovascular revascularization is becoming the established first-line treatment of peripheral artery disease (PAD). Ultrasound (US) imaging is used pre-operatively to make the first diagnosis and is often followed by a CT angiography (CTA). US provides a non-invasive and non-ionizing method for the visualization of arteries and lesion(s). This paper proposes to generate a 3D stretched reconstruction of the femoral artery from a sequence of 2D US B-mode frames., Methods: The proposed method is solely image-based. A Mask-RCNN is used to segment the femoral artery on the 2D US frames. In-plane registration is achieved by aligning the artery segmentation masks. Subsequently, a convolutional neural network (CNN) predicts the out-of-plane translation. After processing all input frames and re-sampling the volume according to the vessel's centerline, the whole femoral artery can be visualized on a single slice of the resulting stretched view., Results: 111 tracked US sequences of the left or right femoral arteries have been acquired on 18 healthy volunteers. fivefold cross-validation was used to validate our method and achieve an absolute mean error of 0.28 ± 0.28 mm and a median drift error of 8.98%., Conclusion: This study demonstrates the feasibility of freehand US stretched reconstruction following a deep learning strategy for imaging the femoral artery. Stretched views are generated and can give rich diagnosis information in the pre-operative planning of PAD procedures. This visualization could replace traditional 3D imaging in the pre-operative planning process, and during the pre-operative diagnosis phase, to identify, locate, and size stenosis/thrombosis lesions., (© 2022. CARS.)

Objective: Arterial Doppler waveform recordings are commonly used to assess lower extremity arterial disease (LEAD) severity. However, little is known about the relationship between arterial Doppler waveform profiles and patients' walking capacity. The purpose of this study was to assess whether arterial Doppler waveforms are independently associated with maximal walking distance (MWD) in patients experiencing exertional limb symptoms. Materials and Methods: This cross-sectional study included suspected LEAD patients experiencing exertional limb symptoms. In both lower extremities, arterial Doppler waveforms and ankle-brachial index (ABI) values were obtained from the pedis and tibial posterior arteries. Each arterial flow measurement was ranked using the Saint-Bonnet classification system. Treadmill stress testing (3.2 km/h, 10% slope) coupled with exercise oximetry (Exercise-TcPO2) were used to determine MWD. Delta from rest oxygen pressure (DROP) was calculated. Following treadmill stress testing, post-exercise ABI values were recorded. Univariate and multivariate analyses were used to determine the clinical variables associated with MWD. Results: 186 patients experiencing exertional limb symptoms (62 ± 12 years and 26.8 ± 4.5 kg/m 2 ) were included between May 2016 and June 2019. Median [25th; 75th] treadmill MWD was 235 [125;500]m. Better arterial Doppler waveforms were associated with better walking distance ( p = 0.0012). Whereas, median MWD was 524 [185;525]m in the group that yielded the best Doppler waveforms, it was 182 [125,305]m in the group with the poorest Doppler waveforms ( p = 0.0012). MWD was significantly better ( p = 0.006) in the patients with the best ABIs. However, arterial Doppler waveforms alone were significantly associated with MWD ( p = 0.0009) in the multivariate model. When exercise variables (post-exercise ABI or DROP) were incorporated into the multivariate model, these were the only variables to be associated with MWD. Conclusion: Of the various clinical parameters at rest, Doppler flow waveform profiles were associated with MWD in suspected LEAD patients. A stronger link was however found between exercise variables and MWD., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Miossec, Tollenaere, Lanéelle, Guilcher, Métairie, Le Pabic, Carel, Le Faucheur and Mahé.)

Background: Pressure measurement is a key component in the diagnosis of lower extremity peripheral artery disease (PAD) but is technically challenging and time-consuming for nonvascular specialists, thus hindering its wider implementation. The aim of this study was to assess the proficiency of students at obtaining satisfactory ankle or toe pressure readings for PAD diagnosis using 2 automated devices., Methods: Medical students followed a training session after which they performed ankle and toe pressure measurements to calculate the ankle-brachial index (ABI) using the MESI ABPI MD® device, and the toe-brachial index (TBI) using the SYSTOE® device. Blinded vascular specialists took the same measurements. Use of the automated devices was considered satisfactory when a valid reading was measured in as few attempts as possible. A comparison was made of each student's proficiency at performing valid ankle and toe pressure measurements. The secondary objective was to compare the readings taken by the vascular specialists with those of the students., Results: Forty-three medical students were included. Mean number of attempts was 1.23 ± 0.48 with the MESI ABPI MD device and 1.44 ± 0.55 with the SYSTOE device (P = 0.04). There was no statistically significant difference between ABI readings taken by the students and those taken by the vascular specialists, 1.17 (0.90; 1.39) vs. 1.18 (0.86; 1.39) (P = 0.33), contrary to TBI readings 0.70 (0.22; 1.74) vs. 0.72 (0.23; 1.16) (P = 0.03). Measurement duration for the students and vascular specialists was 3.75 min ± 1.12 min and 2.26 min ± 0.82 min (P < 0.01) with the MESI ABPI MD device and 4.30 min ± 1.23 min and 3.33 min ± 1.49 min (P = 0.03) with the SYSTOE device. Correlation coefficients between the students and the vascular specialists were 0.56 and 0.34 with the MESI ABPI MD and SYSTOE devices (P < 0.05)., Conclusions: After a brief theoretical training session, the medical students were better at taking ankle pressure measurements than toe pressure measurements with an automated device for the purposes of PAD diagnosis. It would be of value to assess the advantages of these automated devices in primary care practice in future research., (Copyright © 2019 Elsevier Inc. All rights reserved.)