Literature DB >> 8863326

Neither size nor weight predicts survival in peritoneal dialysis patients.

L Fried1, J Bernardini, B Piraino.   

Abstract

OBJECTIVE: To determine if patient size or weight at the start of PD influences patient or technique survival.
DESIGN: A prospective cohort study of adult PD patients.
SETTING: A university and a Veterans Administration outpatient dialysis unit. PATIENTS: 343 adults patients with 660 years on PD enrolled from 1979 to 1995. MAIN OUTCOME MEASURES: Patient survival (censoring for transplant, 60 days post-transfer to hemodialysis, and end of study) and technique survival (censoring for death, transplant, or end of the study) for patients as grouped by weight (< or = 64 kg vs. > 64 kg or < or = 82.7 kg vs. > 82.7 kg) or BSA (< or = 2.0 m2 vs > 2.0 m2).
RESULTS: Patient survival was 86.3% at one year, 77.0% at two years, 65.2% at three years, and 56.9% at 4 years. Technique survival was 84.9% at one year, 77.5% at two years, 63.5% at three years, and 58.3% at four years. The patient and technique survival curves were not significantly different for patients as grouped by weight or BSA. Using Cox proportional hazards model, age, diabetes, peritonitis rate, and albumin at the start of PD were independent predictors of patient survival, but BSA and weight were not. The only predictor of technique survival was the peritonitis rate. Larger patients had higher initial albumins, which may indicate better nutritional status that may offset the risk of underdialysis.
CONCLUSIONS: Large patients do as well as smaller patients on PD. Size alone should not preclude patients from PD.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8863326

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


  6 in total

1.  Extremes of body mass index and mortality among Asian peritoneal dialysis patients.

Authors:  Sharon J Nessim
Journal:  Perit Dial Int       Date:  2014-06       Impact factor: 1.756

2.  Effect of body mass index on outcomes of peritoneal dialysis patients in India.

Authors:  Narayan Prasad; Archana Sinha; Amit Gupta; Raj Kumar Sharma; Dharmendra Bhadauria; Abhilash Chandra; Kashi Nath Prasad; Anupama Kaul
Journal:  Perit Dial Int       Date:  2014-03-01       Impact factor: 1.756

Review 3.  Home dialysis as a first option: a new paradigm.

Authors:  Dimitrios G Oreopoulos; Elias Thodis; Ploumis Passadakis; Vassilis Vargemezis
Journal:  Int Urol Nephrol       Date:  2009-05-09       Impact factor: 2.370

4.  Frequency and microbiology of peritonitis and exit-site infection among obese peritoneal dialysis patients.

Authors:  Sharon J Nessim; Paul Komenda; Claudio Rigatto; Mauro Verrelli; Manish M Sood
Journal:  Perit Dial Int       Date:  2012-09-01       Impact factor: 1.756

5.  Reverse epidemiology in peritoneal dialysis patients: the Canadian experience and review of the literature.

Authors:  T Pliakogiannis; L Trpeski; H Taskapan; H Shah; M Ahmad; S Fenton; J Bargman; D Oreopoulos
Journal:  Int Urol Nephrol       Date:  2006-12-14       Impact factor: 2.266

6.  Association of Body Mass Index and Body Mass Index Change with Mortality in Incident Peritoneal Dialysis Patients.

Authors:  Liping Xiong; Shirong Cao; Fenghua Xu; Qian Zhou; Li Fan; Qingdong Xu; Xueqing Yu; Haiping Mao
Journal:  Nutrients       Date:  2015-10-13       Impact factor: 5.717

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.