Your privacy, your choice

We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media.

By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection.

See our privacy policy for more information on the use of your personal data.

for further information and to change your choices.

You are viewing the site in preview mode

Skip to main content
Fig. 3 | Renal Replacement Therapy

Fig. 3

From: Super high-flux dialyzers improve survival in patients on hemodialysis: a cohort study of the Japanese Society for Dialysis Therapy (JSDT) Renal Data Registry

Fig. 3

Comparison of all-cause mortality among the five dialyzer type groups using Cox proportional hazards regression. The circles indicate the hazard ratios, and the bars correspond to 95% confidence intervals. Model 1 was adjusted for basic factors, including age, sex, dialysis vintage, the presence or absence of diabetes mellitus, and the presence or absence of cardiovascular complications. Model 2 was adjusted for dialysis-related factors, including Kt/V values, β2-microglobulin levels, and systolic and diastolic blood pressure values, in addition to basic factors. Model 3 was adjusted for basic factors, dialysis-related factors, and nutrition- and inflammation-related factors, including body mass index, serum albumin, urea nitrogen, creatinine, hemoglobin, phosphate, calcium, intact parathyroid hormone, normalized protein catabolic rate, and C-reactive protein levels

Back to article page