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Background: Although plasma concentrations of brain natriuretic peptides (BNP) increase in hemodialysis (HD) patients as well as patients with cardiovascular diseases (CD), the clinical significance of BNP in HD patients has yet to be elucidated. In this study, we investigated the pathophysiological significance of BNP in HD patients. Methods: Plasma BNP concentrations were measured in 164 HD patients after HD and 14 healthy volunteers. In 12 patients without CD, BNP was also measured before HD. Multiple regression analysis was performed to determine the important factors causing increased plasma BNP concentrations. Cardiac mortality was monitored for 36 months after baseline analysis, and the prognostic role of BNP was examined by Cox proportional hazards regression analysis. Results: Plasma BNP concentrations of HD patients without CD decreased significantly during HD session (124.5 ± 90.7 vs. 91.4 ± 67.6 pg/ml, mean ± SD, p = 0.004), but were still significantly higher than those of the healthy subjects (9.7 ± 9.2 pg/ml, p = 0.0002). Plasma BNP concentrations of patients with CD were significantly higher than of those without CD (579.6 ± 564.3 vs. 204.0 ± 241.5 pg/ml, p < 0.0001). Plasma BNP concentrations were also significantly higher in diabetes mellitus (DM) patients than in non-DM patients (514.1 ± 585.4 vs. 296.0 ± 347.0 pg/ml, p = 0.0031). Multiple regression analysis showed that left ventricular mass index (LVMI), CD and DM were independent factors for the elevated BNP (R² = 0.303, p < 0.0001). During a 36-month follow-up period, cardiac death occurred in 13 patients. Kaplan-Meier survival estimates of patients from varying plasma BNP quartiles (<200, 200–450, 450–700 and >700 pg/ml) differed between the four groups (p < 0.0001). The group with the highest BNP level (>700 pg/ml) had the lowest survival. When compared with patients with BNP <200, the hazard ratios for cardiac death of patients with BNP of 200–450, 450–700 and >700 pg/ml were 2.3 [95% confidence interval (CI) 0.14–36.7], 18.7 (1.9–183.4) and 51.9 (6.5–416.3), respectively. The univariate Cox proportional hazards model showed that BNP, left ventricular ejection fraction, LVMI, age, DM, serum albumin and C-reactive protein (CRP) were significantly associated with the risk of cardiac mortality. By stepwise multivariate Cox proportional hazards analysis, only BNP, LVMI and CRP remained powerful independent predictors of cardiac death. The relative risk ratios were 1.002 (95% CI 1.001–1.002) for BNP, 2.192 (1.532–3.135) for CRP and 1.027 (1.013–1.042) for LVMI. Conclusion: High plasma BNP concentrations in HD patients were associated with volume overload, left ventricular hypertrophy, CD and DM. Plasma BNP concentration may be a useful parameter for assessing the risk of cardiac death in HD patients by providing prognostic information independently of other variables previously reported.

Background: Cerebrovascular diseases are very common in hemodialysis (HD) patients. Silent cerebral infarction (SCI) has not been investigated in HD patients although it may be a significant risk factor for cerebrovascular diseases. Hypothesis: Chronic renal failure may be an independent risk factor for SCI and cerebrovascular diseases. Methods: Cranial magnetic resonance imaging (MRI) was performed on 123 HD patients without symptomatic cerebrovascular disease and on 52 control subjects. We investigated the prevalence of SCI and performed cross-sectional study using multiple logistic analysis to assess the relationship between SCI and the risk factors. Results: The prevalence of SCI was significantly higher in HD patients than in the healthy control group (60 patients (48.8%) vs. 5 patients (9.6%), χ² = 22.4, p < 0.0001). Multiple logistic regression analysis with all subjects showed that independent risk factors of SCI were chronic renal failure, hypertension, smoking and age (R² = 0.468, p < 0.0001). In only the HD patient group, age and smoking were shown to be independent risk factors of SCI (R² = 0.378, p < 0.0001) while HD duration and hypertension were not. Conclusions: The findings of the present study indicate that chronic renal failure maintained by hemodialysis increases the prevalence of SCI and that age and smoking habits are also significantly associated with SCI in HD patients.

As regulators of malignant cell behaviour and communication with stroma, cytokines have proved useful in understanding cancer biology and developing novel therapies. In renal cell carcinoma, patients with inflammatory reactions are known to have poor prognosis. In order to elucidate the relation between renal cell carcinoma and the host, serum levels of inflammatory cytokines, interleukin-6, tumour necrosis factor a, interleukin-1b, were measured. One hundred and twenty-two patients with renal cell carcinoma and 21 healthy control subjects were studied, and serum cytokine levels were measured using a highly sensitive ELISA kit. As a result, in the control group, interleukin-6, tumour necrosis factor a and interleukin-1b levels were 1.79+2.03, 2.74+0.94 and 0.16+0.17 pg ml 71, respectively. In the renal cell carcinoma patients, they were 8.91+13.12, 8.44+4.15 and 0.53+0.57 pg ml 71 , respectively, and significantly higher. In the comparison of stage, interleukin-6 level was significantly higher in the stage IV group compared to the other stage groups including the control group, while tumour necrosis factor a level was significantly higher in each stage group compared to the control group. As for grade, interleukin-6 level was significantly higher in the grade 3 group compared to the control, grade 1 and grade 2 groups, while tumour necrosis factor a level was significantly higher in each grade group compared to the control group. All cytokines had a positive correlation with tumour size. In regard to the correlation with CRP, all cytokines had a positive correlation with CRP, while interleukin-6 had a particularly strong correlation. In conclusion, interleukin-6 may be one of the factors for the poor prognosis of patients with renal cell carcinoma. In addition, tumour necrosis factor a may be useful in the early diagnosis of renal cell carcinoma and post-operative follow-up.