Abstract

Objectives To compare the clinical characteristics, long-term survival and associated risk factors of automated peritoneal dialysis (APD) patients and continuous ambulatory peritoneal dialysis (CAPD) patients. Methods As a retrospectively study, adult patients started peritoneal dialysis in Peking Union Medical College Hospital (PUMCH) from September 1st, 2002 to September 30th, 2016 were enrolled. Baseline information and dialysis associated parameters were collected. The primary outcome was death and the secondary outcome was technical failure. The risk factors of death were analyzed in APD patients by Cox's regression model. Homochromous gender and age matched CAPD patients were analyzed as control. Results The baseline condition of 69 APD patients were similar to those of 138 CAPD patients. The survival rates of APD patients at 1-year、3-year and 5-year were 95.4%, 88.0% and 73.0% respectively, which were superior to CAPD patients. No significant difference in technical survival was found between APD and CAPD patients. Singlefactor Cox's regression analysis showed that all-cause mortality of CAPD patients was 2.2 times higher than that of APD patients (95% CI 1.221-3.837). In the multi-factor Cox regression analysis model, adjusted by age, complications (including cardiovascular disease and diabetes), nPCR and serum creatinine, dialysis modality was not an independent risk factor of dialysis patients. Age (HR=1.077, 95%CI 1.016-1.142, P=0.013), diabetes (HR=3.608, 95%CI 1.117-11.660, P=0.032) and serum albumin (HR=0.890, 95%CI 0.808-0.982, P=0.020) were independently associated with all-cause death of APD patients. Conclusions Dialysis modality was not an independent risk factor for the all-cause mortality of peritoneal dialysis patients. Age, diabetic nephropathy and hypoalbuminemia were independently associated with the death of APD patients. Key words: Peritoneal dialysis, continuous ambulatory; Kindney failure, chronic; Survival analysis

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call