Although D/P Cr levels at 6 months after the therapy were signifi

Although D/P Cr levels at 6 months after the therapy were significantly lower than those at the initiation of the therapy (0.68 ± 0.10 to 0.62 ± 0.10), D/P Cr levels at 18 months after the therapy were aggravated. Conclusion: It appears that the combination therapy with PD and HD improves Hb levels MK-8669 clinical trial and cardiac function because of adjusting

body fluid status. It was indicated that the peritoneal function at 6 months after the therapy may be improved, but that at over 18 months after the therapy may be aggravated. Therefore, the combination therapy is useful for a lifestyle viewpoint of patients at the transitioned period of PD to HD with end-stage kidney disease. LAI XUELI, CHEN WEI, LI JUAN, BIAN XIAOLU, WANG HAIYAN, GUO ZHIYONG Department of Nephrology, Changhai Hospital

Introduction: It is known that sleep disturbance is associated with quality of life and all cause mortality in end stage renal disease population. However, limited researches focused on biomarkers of daytime sleepiness, especially excessive daytime sleepiness (EDS) in peritoneal dialysis (PD) patients. This study aims to explore the metabolic signatures of EDS cases in PD population. Methods: A cross-sectional study collected fast serum SAHA HDAC molecular weight from no-diabetic continuous ambulatory peritoneal dialysis (CAPD) patients in a single centre from Feb 2013 to June 2013. A validated Chinese version of Epworth Sleepiness Scale (ESS), self-administered questionnaires for sleep quality evaluation was performed. EDS group was defined as ESS ≥ 9. Meanwhile the PD Kt/V, residual renal function (RRF) and peritoneal equilibration test were recorded. Ultra-performance liquid chromatography

(UPLC) coupled with Q-TOF mass spectrometry were conducted to explore the metabolic profile in serum sample. After raw data acquisition and transformation by Agilent Masshunter Qualitative Analysis software, Mann-Whitney U Test Protirelin and fold change analysis were performed to find the feature difference. Finally the different metabolites were defined by on-line software. Results: Eighteen (male/female, 10/8; age, 61.4 ± 18.1 years) PD patients with ESS ≥ 9 were assigned into EDS group, while 18 selected gender matched patients (age, 56.9 ± 12.9 years) were defined non-EDS group. Changes of metabolites with significant difference between groups can be classified into three metabolic pathways. They were amino acids, tricarboxylic acid cycle, and lipid metabolism. (Table 1). Scores of principal components between groups were illustrated in a 3D PCA plots. (Figure 1). Conclusion: Present study provided potential application of metabonomics in early diagnosis and new insight into mechanism of EDS in peritoneal dialysis patients.

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