2 ± 13.4 Home  Mornings on HD days   Systolic 155.8 ± 17.8a   Diastolic 80.9 ± 14.5  Nights on HD days   Systolic 152.3 ± 19.6   Diastolic 81.7 ± 14.4  Mornings on non-HD days   Systolic 150.9 ± 18.4a   Diastolic 80.6 ± 12.4  Nights on non-HD days   Systolic 156.1 ± 17.1   Diastolic 81.1 ± 12.9

aBP in the morning on HD days versus BP in the morning on non-HD days, P < 0.05 Predialysis and home BPs and LVMI As shown in Fig. 1, home BPs, especially morning systolic BPs on HD and non-HD days, had a significant positive correlation with LVMI (r = 0.50, P < 0.01 and r = 0.41, P < 0.01, respectively). On the other hand, predialysis BP did not correlate with LVMI (r = 0.27, NS). Multivariate https://www.selleckchem.com/products/c188-9.html analysis including various factors (HD vintage, age, gender, diabetes, ARB, and BPs) demonstrated that only morning systolic BPs on HD and non-HD days had significant

correlation with LVMI (Table 3). Fig. 1 Correlation with left ventricular mass index (LVMI) and various types of blood pressures (BPs). LVMI demonstrated significant correlation with morning BPs on hemodialysis (HD) (R = 0.50, P < 0.01) and non-HD (R = 0.41, P < 0.01) days. In contrast, LVMI did not have a correlation with predialysis BPs (R = 0.27, NS) Table 3 Correlation with LVMI and various factors assessed by multivariate analysis   Model 1 Model 2 R P R P HD duration 0.03 0.83 0.03 0.84 Age 0.02 0.87 0.05 0.76 Gender −0.22 0.19 −0.26 0.15 DM −0.15 0.35 −0.05 0.77 ARB 0.12 0.45 0.18 0.30 BPs (mmHg)  Predialysis 0.27 0.12 0.31 0.09 Home  Mornings on HD days 0.57 0.008      Nights on HD days learn more 0.20 0.44 −0.12 0.67  Mornings on non-HD days     0.55 0.03  Nights on non-HD days −0.32 0.27 −0.15 0.60 Predialysis and home BPs and cardiovascular events During the follow-up period (47 ± 18 months), 11 (22%) patients had CV events (4 with angina, 4 with stroke, 2 with idiopathic ventricular tachycardia, and 1 with aortic dissection). Among these patients, 3 patients died with stroke. Table 4 presents the relative risks (RR) of CV events in the study population. As assessed by multivariate pheromone Cox analysis, the significant predictors of CV events were diabetes and home BPs, especially systolic BPs on the

morning of HD days. A 10 mmHg increase in BP had a significantly elevated RR for CV events (RR 2.00, 95% CI 1.07–3.74, P = 0.03). Table 4 Relative risk of cardiovascular events assessed by multivariate Cox proportional hazards models   Relative risk 95% confidence limits P HD duration 1.19 0.93–1.52 0.17 Age 1.06 0.97–1.15 0.21 Gender 1.93 0.20–18.9 0.57 DM 8.76 1.30–58.9 0.03 ARB 1.16 0.18–7.50 0.88 Cr 1.20 0.77–1.87 0.41 Alb 1.69 0.09–33.7 0.73 Ca 1.14 0.34–3.79 0.83 P 0.44 0.17–1.18 0.10 Hb 1.10 0.45–2.66 0.84 BPs (10 mmHg)  Mornings on HD days 2.00 1.07–3.74 0.03 Discussion The results demonstrated that the median systolic values of predialysis and home BPs were around 150 mmHg, Mizoribine ranging from 151 to 156 mmHg, while the median diastolic values were around 80 mmHg.