Literature DB >> 25185013

Risk factors for mortality in Chinese patients on continuous ambulatory peritoneal dialysis.

Fan Zhang1, Hong Liu1, Xiaoli Gong2, Fuyou Liu1, Youming Peng1, Meichu Cheng1, Hongqing Zhang1, Yang Liu1, Yuyuan Liu1, Chunyan Guo1.   

Abstract

OBJECTIVE: The intent of this study was to evaluate the clinical outcome and risk factors affecting mortality of the continuous ambulatory peritoneal dialysis (CAPD) patients in a single peritoneal dialysis (PD) center over a period of 10 years. PATIENTS AND METHODS: We retrospectively analyzed patients on PD from June 2001 to June 2011. The clinical and biochemical data were collected from the medical records. Clinical variables included gender, age at the start of PD, smoking status, body mass index (BMI), cause of end-stage renal disease (ESRD), presence of diabetes mellitus and blood pressure. Biochemical variables included hemoglobin, urine volume, residual renal function (RRF), serum albumin, blood urea nitrogen (BUN), creatinine, total cholesterol, triglyceride, comorbidities, and outcomes. Survival curves were made by the Kaplan-Meier method. Univariate and multivariate analyses to identify mortality risk factors were performed using the Cox proportional hazard regression model.
RESULTS: A total of 421 patients were enrolled, 269 of whom were male (63.9%). The mean age at the start of PD was 57.9 ± 14.8 years. Chronic glomerulonephritis was the most common cause of ESRD (39.4%). Estimation of patient survival by Kaplan-Meier was 92.5%, 80.2%, 74.4%, and 55.7% at 1, 3, 5, and 10 years, respectively. Patient survival was associated with age (hazard ratio [HR]: 1.641 [1.027 - 2.622], p = 0.038), cardiovascular disease (HR: 1.731 [1.08 - 2.774], p = 0.023), hypertriglyceridemia (HR: 1.782 [1.11 - 2.858], p = 0.017) in the Cox proportional hazards model analysis. Estimation of technique survival by Kaplan-Meier was 86.7%, 68.8%, 55.7%, and 37.4% at 1, 3, 5, and 10 years, respectively. In the Cox proportional hazards model analysis, age (HR: 1.672 [1.176 - 2.377], p = 0.004) and hypertriglyceridemia (HR: 1.511 [1.050 - 2.174], p = 0.026) predicted technique failure.
CONCLUSION: The PD patients in our center exhibited comparable or even superior patient survival and technical survival rates, compared with reports from other centers in China and other countries.
Copyright © 2015 International Society for Peritoneal Dialysis.

Entities:  

Keywords:  Clinical outcome; Cox proportional hazards model; dialysis patients; mortality; patient survival; peritoneal dialysis; risk factors; technique survival

Mesh:

Year:  2014        PMID: 25185013      PMCID: PMC4406315          DOI: 10.3747/pdi.2013.00164

Source DB:  PubMed          Journal:  Perit Dial Int        ISSN: 0896-8608            Impact factor:   1.756


  25 in total

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Authors:  Philip Kam-Tao Li; Cheuk Chun Szeto; Beth Piraino; Judith Bernardini; Ana E Figueiredo; Amit Gupta; David W Johnson; Ed J Kuijper; Wai-Choong Lye; William Salzer; Franz Schaefer; Dirk G Struijk
Journal:  Perit Dial Int       Date:  2010 Jul-Aug       Impact factor: 1.756

Review 2.  The story of continuous ambulatory peritoneal dialysis in Iran.

Authors:  Iraj Najafi; Monirossadat Hakemi; Saeed Safari; Shahnaz Atabak; Hoshang Sanadgol; Nader Nouri-Majalan; Mohamad Reza Ardalan; Ali Ghafari Moghadam; Hossein Ashegh; Amir Keshvari
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3.  Association of hypertriglyceridemia and insulin resistance in uremic patients undergoing CAPD.

Authors:  S C Cheng; T S Chu; K Y Huang; Y M Chen; W K Chang; T J Tsai; K D Wu
Journal:  Perit Dial Int       Date:  2001 May-Jun       Impact factor: 1.756

4.  Continuous ambulatory peritoneal dialysis: a new era in the treatment of chronic renal failure.

Authors:  D G Oreopoulos; M Robson; B Faller; R Ogilvie; A Rapoport; G A deVeber
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5.  Relative contribution of residual renal function and peritoneal clearance to adequacy of dialysis: a reanalysis of the CANUSA study.

Authors:  Joanne M Bargman; Kevin E Thorpe; David N Churchill
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6.  Peritonitis-related mortality in patients undergoing chronic peritoneal dialysis.

Authors:  Miguel Pérez Fontan; Ana Rodríguez-Carmona; Rafael García-Naveiro; Miguel Rosales; Pedro Villaverde; Francisco Valdés
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7.  Peritoneal dialysis in developing countries.

Authors:  K S Nayak; M V Prabhu; K A Sinoj; S V Subhramanyam; G Sridhar
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9.  Clinical outcome and risk factors for mortality in Chinese patients with diabetes on peritoneal dialysis: a 5-year clinical cohort study.

Authors:  Xiao Yang; Chunyan Yi; Xinhui Liu; Qunying Guo; Rui Yang; Peiyi Cao; Jiangxiong Lin; Haiping Mao; Xueqing Yu
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10.  Long-term clinical outcomes of peritoneal dialysis patients: single center experience from Korea.

Authors:  Seung Hyeok Han; Jung Eun Lee; Dong Ki Kim; Sung Jin Moon; Hyun-Wook Kim; Jae Hyun Chang; Beom Seok Kim; Shin-Wook Kang; Kyu Hun Choi; Ho Yung Lee; Dae Suk Han
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2.  The importance of residual renal function in peritoneal dialysis.

Authors:  Dorota Sikorska; Krzysztof Pawlaczyk; Anna Olewicz-Gawlik; Natasza Czepulis; Bartlomiej Posnik; Ewa Baum; Maria Wanic-Kossowska; Bengt Lindholm; Andrzej Oko
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Review 3.  Peritoneal Dialysis in Asia.

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Journal:  Kidney Dis (Basel)       Date:  2015-09-11

4.  Serum Albumin at Start of Peritoneal Dialysis Predicts Long-Term Outcomes in Anhui Han Patients on Continuous Ambulatory Peritoneal Dialysis: A Retrospective Cohort Study.

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Journal:  Kidney Dis (Basel)       Date:  2018-09-03

5.  Safety and effectiveness evaluation of a domestic peritoneal dialysis fluid packed in non-PVC bags: study protocol for a randomized controlled trial.

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6.  Triglyceride to high-density lipoprotein cholesterol ratio is associated with increased mortality in older patients on peritoneal dialysis.

Authors:  Xiaojiang Zhan; Mei Yang; Ruitong Zhou; Xin Wei; Yanbing Chen; Qinkai Chen
Journal:  Lipids Health Dis       Date:  2019-11-15       Impact factor: 3.876

7.  Peritoneal transport status and first episode of peritonitis: a large cohort study.

Authors:  Jing Hu; Hao Zhang; Bin Yi
Journal:  Ren Fail       Date:  2021-12       Impact factor: 2.606

8.  Hypomagnesemia Is Associated with Increased Mortality among Peritoneal Dialysis Patients.

Authors:  Kedan Cai; Qun Luo; Zhiwei Dai; Beixia Zhu; Jinping Fei; Congping Xue; Dan Wu
Journal:  PLoS One       Date:  2016-03-29       Impact factor: 3.240

9.  Patient characteristics and risk factors of early and late death in incident peritoneal dialysis patients.

Authors:  Xinhui Liu; Rong Huang; Haishan Wu; Juan Wu; Juan Wang; Xueqing Yu; Xiao Yang
Journal:  Sci Rep       Date:  2016-08-31       Impact factor: 4.379

  9 in total

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