13 research outputs found

    Associations between microalbuminuria and parameters of flow-mediated vasodilatation obtained by continuous measurement approaches

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    The associations between microalbuminuria and various parameters of flow-mediated vasodilatation (FMD) are not completely understood. We retrospectively analyzed 265 consecutive patients who underwent coronary angiography and in whom we could measure FMD and the urine albumin-creatinine ratio (UACR). Using 15 continuous measurement approaches, we measured FMD as the magnitude of the percentage change in the brachial artery diameter from baseline to peak (bFMD), the maximum FMD rate calculated as the maximal slope of dilation (FMD-MDR), and the integrated FMD response calculated as the area under the dilation curve during the 60- and 120-s dilation periods (FMD-AUC60 and FMD-AUC120). We divided the patients into two groups according to UACR: normoalbuminuria (NOR, n = 211) and microalbuminuria (MIC, n = 54). The MIC group showed a significantly higher percentage of coronary artery disease than the NOR group. FMD-AUC60 and FMD-AUC120, but not FMD-MDR, in the MIC group were significantly lower than those in the NOR group. On the other hand, bFMD in the MIC group tended to be lower than that in the NOR group, but this difference was not significant. A multiple regression analysis indicated that FMD-AUC120 and diabetes mellitus were predictors of MIC. Finally, we defined the cut-off value of FMD-AUC120 for the presence of MIC in all patients as 8.4 mm x second (sensitivity 0.640, specificity 0.588) by a receiver-operating characteristic curve analysis. In conclusion, this study provides more definitive evidence for the association of microalbuminuria with endothelial dysfunction. FMD-AUC120 may be a superior marker for MIC

    Associations between lipid profiles and MACE in hemodialysis patients with percutaneous coronary intervention: From the FU-Registry

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    AbstractBackgroundIt is well known that percutaneous coronary intervention (PCI) in hemodialysis (HD) patients is associated with higher rates of in-stent restenosis and major adverse cardiovascular events (MACE) compared to that in non-HD patients, even if the target value in cholesterol management is achieved.MethodsTo evaluate the factors that are associated with MACE in HD patients, we selected 142 HD patients (164 lesions) without acute coronary syndrome (ACS) from 2148 patients (2568 lesions) who underwent PCI in our database of the FU-Registry [UMIN000005679, Fukuoka University Hospital EC/IRB:10-1-08(09-105)], and compared 52 patients (53 lesions) with MACE [MACE(+)] to 90 patients (111 lesions) without MACE [MACE(−)].ResultsTotal cholesterol (TC: 150±30mg/dL vs 166±39mg/dL, p<0.05) and high-density lipoprotein cholesterol (HDL-C: 40.1±14.7mg/dL vs 47.8±13.5mg/dL, p<0.01) levels were significantly lower in the MACE(+) group at follow-up. No significant differences were observed in other parameters, including triglyceride, low-density lipoprotein cholesterol (LDL-C; LDL-C/HDL-C ratio, and % changes in HDL-C, non-HDL-C, LDL-C), and hemoglobin A1c (US National Glycohemoglobin Standardization Program) between before and after PCI. TC, LDL-C, and non-HDL-C at the time of PCI and TC, and HDL-C at the 9-month follow-up were negatively correlated with MACE, while body mass index (BMI) [odds ratio (OR): 0.81; 95% confidence interval (CI): 0.68–0.95)], prior coronary artery bypass graft (CABG) (OR: 3.89; 95%CI: 1.29–12.6), and insulin use (OR: 3.17; 95%CI: 1.23–8.55) were strongly correlated with MACE in a multivariate analysis.ConclusionBMI, CABG, and insulin use, but not LDL-C, are independent predictors of MACE in HD patients, suggesting that the application of lipid management for non-HD patients to HD patients at the time of PCI may not necessarily be beneficial for medium-term clinical outcomes
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