Literature DB >> 22525667

A comparative assessment of survival between propensity score-matched patients with peritoneal dialysis and hemodialysis in Taiwan.

Yu-Kang Chang1, Chih-Cheng Hsu, Shang-Jyh Hwang, Pei-Chun Chen, Chiu-Chin Huang, Tsai-Chung Li, Fung-Chang Sung.   

Abstract

Studies comparing mortality for Asian populations with end-stage renal disease (ESRD) on hemodialysis (HD) and peritoneal dialysis (PD) are limited. We compared mortality between patients treated with PD and HD in Taiwan, the population with the highest incidence of ESRD worldwide. Using the population-based insurance claims data of Taiwan from 1997 to 2006, we identified 4721 patients treated with PD and randomly selected 4721 patients treated with HD who were frequency-matched to the PD patients based on their propensity scores. In follow-up analyses we measured mortalities and hazard ratios associated with comorbidities in 2 different 5-year cohorts (1997-2001 and 2002-2006).In the 10-year period from 1997 to 2006, the overall mortality rates were similar in patients treated with PD and in patients treated with HD (12.0 vs. 11.7 per 100 person-years, respectively), with a PD-to-HD hazard ratio of 1.02 (95% confidence interval [CI], 0.96-1.08). In the first 5-year period (1997-2001), the hazard ratio for mortality was higher for PD (1.33; 95% CI, 1.21-1.46), but there was no difference between PD and HD in the 2002-2006 cohort. Of note, younger patients who received PD had better survival than younger patients who received HD; this was especially true for patients aged younger than 40 years.In summary, in this Asian population, no significant survival differences were noted between propensity score-matched PD and HD patients. The selection of a dialysis modality must be tailored to the individual patient. Studies in which patients who are appropriate for either modality are randomly assigned to HD or PD may provide helpful information to clinicians and patients.

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Year:  2012        PMID: 22525667     DOI: 10.1097/MD.0b013e318256538e

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


  24 in total

1.  Translating an understanding of the determinants of technique failure to maximize patient time on peritoneal dialysis?

Authors:  Rajnish Mehrotra
Journal:  Perit Dial Int       Date:  2013 Mar-Apr       Impact factor: 1.756

Review 2.  The Current State of Peritoneal Dialysis.

Authors:  Rajnish Mehrotra; Olivier Devuyst; Simon J Davies; David W Johnson
Journal:  J Am Soc Nephrol       Date:  2016-06-23       Impact factor: 10.121

Review 3.  Dialysis Modality and Mortality in the Elderly: A Meta-Analysis.

Authors:  Seung Seok Han; Jae Yoon Park; Soohee Kang; Kyoung Hoon Kim; Dong-Ryeol Ryu; Hyunwook Kim; Kwon Wook Joo; Chun Soo Lim; Yon Su Kim; Dong Ki Kim
Journal:  Clin J Am Soc Nephrol       Date:  2015-05-04       Impact factor: 8.237

4.  Impact of dialysis modality on the survival of patients with end-stage renal disease and prior stroke.

Authors:  I-Kuan Wang; Wen-Miin Liang; Cheng-Li Lin; Yao-Lung Liu; Chiz-Tzung Chang; Tzung-Hai Yen; Chiu-Ching Huang; Fung-Chang Sung
Journal:  Int Urol Nephrol       Date:  2015-11-11       Impact factor: 2.370

Review 5.  Patient and Technique Survival of Older Adults with ESRD Treated with Peritoneal Dialysis.

Authors:  Scott D Bieber; Rajnish Mehrotra
Journal:  Perit Dial Int       Date:  2015-11       Impact factor: 1.756

6.  Predicting mortality of incident dialysis patients in Taiwan--a longitudinal population-based study.

Authors:  Ping-Hsun Wu; Yi-Ting Lin; Tzu-Chi Lee; Ming-Yen Lin; Mei-Chuan Kuo; Yi-Wen Chiu; Shang-Jyh Hwang; Hung-Chun Chen
Journal:  PLoS One       Date:  2013-04-23       Impact factor: 3.240

7.  Comparison of dementia risk between end stage renal disease patients with hemodialysis and peritoneal dialysis--a population based study.

Authors:  Yi-Ting Lin; Ping-Hsun Wu; Mei-Chuan Kuo; Cheng-Sheng Chen; Yi-Wen Chiu; Yi-Hsin Yang; Ming-Yen Lin; Shang-Jyh Hwang; Hung-Chun Chen
Journal:  Sci Rep       Date:  2015-02-23       Impact factor: 4.379

8.  Impact of initial dialysis modality on mortality: a propensity-matched study.

Authors:  Bård Waldum-Grevbo; Torbjørn Leivestad; Anna V Reisæter; Ingrid Os
Journal:  BMC Nephrol       Date:  2015-10-30       Impact factor: 2.388

9.  Patterns of health-related quality of life and associated factors in Chinese patients undergoing haemodialysis.

Authors:  Eric Y F Wan; Julie Y Chen; Edmond P H Choi; Carlos K H Wong; Anca K C Chan; Karina H Y Chan; Cindy L K Lam
Journal:  Health Qual Life Outcomes       Date:  2015-07-29       Impact factor: 3.186

10.  Hemodialysis versus Peritoneal Dialysis: A Comparison of Survival Outcomes in South-East Asian Patients with End-Stage Renal Disease.

Authors:  Fan Yang; Lay-Wai Khin; Titus Lau; Horng-Ruey Chua; A Vathsala; Evan Lee; Nan Luo
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

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