In this study, we described the haemodynamic condition in the AVF and found that neointimal hyperplasia predisposed to occur in the inner wall of venous segment near the anastomosis. We also found that not only the neointimal hyperplasia has a strong inverse correlation with WSS levels, but also is related to flow patterns.

Introduction: Epimedium koreanum Nakai (EKN), is a well-known Chinese herbal medicine for the treatment of osteoporosis, immunosuppression, tumours and cardiovascular diseases. Comprehensive component identification is essential for elucidation of its pharmacological mechanism and quality control. However, its complex chemical composition has caused certain difficulties in the analysis of this traditional Chinese medicine (TCM). Therefore, there is an urgent need to establish a method for rapid classification and identification of EKN chemical components.Objective: To establish a method for rapid classification and identification of the main components of flavonoids, organic acids and alkaloids in EKN. Methods:The samples were analysed by ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) and data postprocessing techniques. The UPLC system used a BEH C 18 column to separate the total extract of EKN. The mobile phase consisted of 0.1% formic acid in water and acetonitrile, and the EKN extract was analysed by gradient elution at a flow rate of 0.4 mL/min. In both the positive and negative ion modes, the fragment information was obtained and compared with those of the characteristic fragmentations and neutral losses described in the literature to quickly identify the target compounds.Results: Finally, we successfully screened out 51 chemical components, including 40 flavonoids, nine organic acids, and two alkaloids. Conclusion:The established method not only comprehensively analysed the chemical compositions of EKN, solved the difficult problems of analysis and identification of the complex chemical compositions of the TCM, but also further promoted the development of the application of chemical compositions of TCM.

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Background: Numerous metabolic parameters can be changed during hemodialysis in the end-stage renal disease (ESRD) caused by systemic diseases, such as diabetes mellitus, hypertension. Some ocular parameters also can be variable due to the changes after hemodialysis. This study evaluates the effects of ocular parameters, including best-corrected visual acuity (BCVA), intraocular pressure (IOP), central macular thickness (CMT), subfoveal choroidal thickness (SFCT), retinal arteriolar caliber (RAC), retinal venular calibre (RVC), in ESRD patients following hemodialysis. Materials and methods: Two-hundred and two ESRD patients were recruited resulting in 404 eyes evaluations. All patients underwent hemodialysis in the Dialysis Unit of the Second Hospital of Tianjin Medical University. BCVA, CMT, IOP, SFCT, RAC and RVC were evaluated before and after hemodialysis. Systemic parameters were collected such as age, body weight, systolic blood pressure (SBP), diastolic blood pressure (DBP), duration of hemodialysis, body weight changes, high density lipoprotein cholesterol (HDLC), low density lipoprotein cholesterol (LDLC), very low density lipoprotein cholesterol (VLDLC), glycosylated hemoglobin (HbA1c). Results: The causes of ESRD patients included chronic glomerulonephritis ( n = 65), diabetes mellitus ( n = 60), hypertensive nephrosclerosis ( n = 37), and other causes ( n = 40). In our study, BCVA ( p = .817), CMT ( p = .252) and IOP ( p = .978) did not significantly change after hemodialysis. SFCT significantly decreased from 254.29 ± 69.36 μm to 235.54 ± 659.90 μm ( p = .002) following hemodialysis. SFCT changes were significantly correlated with SBP ( p = .042) and body weight changes ( p = .044). The RAC and RVC were dilated significantly ( p = .033, p = .007). RVC changes were correlated with baseline DBP ( p = .003), HDLC ( p = .009), LDLC ( p = .004) and changes in DBP ( p = .037) and body weight ( p = .001). Conclusion: Hemodialysis can affect various ocular parameters including SFCT, RAC and RVC, which changed significantly following hemodialysis. Whereas BCVA, IOP and CMT did not change after hemodialysis in ESRD patients. The systemic compensatory mechanisms of the changes in SBP, DBP, body weight following hemodialysis need further study.

Prognostic role of ankle-brachial index (ABI) in patients with chronic kidney disease (CKD) is controversial. We aimed to evaluate whether abnormal ABI was an independent predictor of cardiovascular or all-cause mortality in CKD patients with or without hemodialysis by conducting a meta-analysis. We systematically searched Pubmed and Embase databases for prospective observational studies that investigated baseline abnormal ABI and subsequent cardiovascular or all-cause mortality risk in CKD patients with or without hemodialysis. An ABI value of 0.9 to 1.3 was defined as normal. Pooled hazard risk (HR) with 95% confidence interval (CI) was calculated for the abnormal vs. normal ABI category. Six studies enrolling 5820 patients were identified and analyzed. Overall, abnormal ABI was associated with an increased risk of all-cause mortality (HR 2.26; 95% CI 1.60-3.18) and cardiovascular mortality (HR 3.58; 95% CI 2.53-5.06). Subgroup analysis indicated that patients with abnormally low ABI increased by 2.45-fold all-cause mortality and 5.18-fold cardiovascular mortality. Similarly, an abnormally high ABI increased by 1.94-fold all-cause mortality and 4.04-fold cardiovascular mortality. In addition, the effect of abnormal ABI on all-cause mortality was more pronounced among hemodialysis patients (HR 3.06; 95% CI 2.30-4.07) but not in CKD patients (HR 1.42; 95% CI 0.98-2.05). Abnormally low and high ABI are independently associated with cardiovascular or all-cause mortality risk in maintenance hemodialysis patients. This meta-analysis highlighted an U-shaped relationship between ABI and mortality risk in CKD patients undergoing hemodialysis. However, findings of this meta-analysis were undermined by the small number of included studies.