Upper extremity venous thrombosis in hospitalized patients: A prospective epidemiological study.

BACKGROUND: The frequency of upper extremities vein thrombosis (UEVT) is rising with the increasing use of endovenous devices. These thromboses are particularly common among hospitalized patients. The epidemiology and risk factors for UEVT are poorly understood in a hospitalized population. OBJECTIVE: To assess the prevalence of UEVT in hospitalized patients and study thrombosis risk factors according to their location. METHODS: Prospective evaluation of patients hospitalized in a university hospital with clinical and Doppler ultrasound (DUS) assessment of the upper extremities. RESULTS: Of the 400 patients included, 91(22.8 %) had UEVT including 8 (8.8 %) proximal thrombosis, 32 (35.2 %) arm venous thrombosis and 51 (56.0 %) forearm venous thrombosis; 7 (7.7 %) patients with UEVT had a concomitant symptomatic pulmonary embolism. In this population of hospitalized patients, 40 (10 %) had proximal or arm thrombosis and 51 (12.8 %) forearm thrombosis. All patients with UEVT had a venous catheter and 63 (69.2 %) of UEVT patients had therapeutic or prophylactic anticoagulation at the time of DUS evaluation. In multivariate analysis, peripheral intravenous catheter (PIVC) OR 3.71 [1.90; 7.91] (p < 0.001); MID line OR 3.58 [1.46; 8.91] (p = 0.005) and infection disease OR 2.21 [1.26; 4386] (p = 0.005) were associated with UEVT. Central venous catheter OR 66.24 [12.64; 587.03] was associated with proximal UEVT and MID line OR 12.61 [4.64; 35.77] (p < 0.001) with arm UEVT. Forearm UEVT were associated with PIVCOR 10.71[3.14; 67.37] (p = 0.001); infectious disease OR 2.87 [1.48; 5.60] (p = 0.002), iron infusion OR 3.11 [1.23; 7.47] and hospitalization for postpartum OR 4.37 [0.97; 18.06] (p = 0.04). CONCLUSION: One in 5 hospitalized patients suffers from UEVT. Proximal venous thrombosis is uncommon. The presence of a catheter and hospitalization for infection are the factors most frequently associated with UEVT.

Predictive Factors of Stent Patency in Iliofemoral Venous Diseases in a Multicentre Cohort Study.

OBJECTIVE: This study assessed primary stent patency predictive factors in three groups of patients with history of lower limb (LL) vein thrombosis: non-thrombotic iliac vein lesion (NIVL), acute deep vein thrombosis (aDVT), and post-thrombotic syndrome (PTS). METHODS: Consecutive patients from January 2014 to December 2020 with history of LL vein stenting from seven hospitals were included. All patients received an iliac or common femoral venous stent and had at least a six month follow up available with stent imaging. Anticoagulant and antiplatelet therapy strategies employed after venous stenting are reported and compared between groups. RESULTS: This study included 377 patients: 134 NIVL, 55 aDVT, and 188 PTS. Primary patency was statistically significantly higher in the NIVL group (99.3%) compared with the PTS group (68.6%) (p < .001) and the aDVT group (83.6%) (p = .002). PTS patients received a statistically significantly greater number of stents (p < .001) and had more stents below the inguinal ligament (p < .001). Median follow up was 28.8 months (IQR 16, 47). Discontinuation of antiplatelet therapy at the last assessment was 83.6% for NIVL, 100% for aDVT, and 95.7% for the PTS group (p < .001). Discontinuation of anticoagulation therapy at the last assessment was 93.2% for NIVL, 25.0% for aDVT, and 70.3% for the PTS group (p < .001). The only predictor of worse primary patency in the aDVT group was long term anticoagulation before stenting. CONCLUSION: Patients with NIVL have better primary patency after venous stenting than patients with venous thrombotic disorders. Long term anticoagulation before stenting was the only factor associated with poorer primary patency in patients with aDVT.

Corrigendum: Arterial Doppler Waveforms Are Independently Associated With Maximal Walking Distance in Suspected Peripheral Artery Disease Patients.

[This corrects the article DOI: 10.3389/fcvm.2021.608008.].

Arterial Doppler Waveforms Are Independently Associated With Maximal Walking Distance in Suspected Peripheral Artery Disease Patients.

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/m2) 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.

Proficiency of Medical Students at Obtaining Pressure Measurement Readings Using Automated Ankle and Toe Measuring Devices for Diagnosis of Lower Extremity Peripheral Artery Disease.

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.