Literature DB >> 1986566

Survival in patients with end-stage renal disease.

L F Wright1.   

Abstract

Based on age and medical condition at the time of treatment, 138 patients beginning dialysis for treatment of chronic renal failure between January 1, 1984 and December 31, 1988, were classified into low, average, and high risk of death. The survival in these three groups was shown to be significantly different after as little as 6 months. The classification scheme is simple, and can be performed at the bedside. Efforts to monitor quality assurance in the dialysis unit must account for the significant differences in expected survival that reflect the case-mix observed in a particular unit.

Entities:  

Mesh:

Year:  1991        PMID: 1986566     DOI: 10.1016/s0272-6386(12)80245-9

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  13 in total

1.  Is there a rationale for rationing chronic dialysis? Two points need clarification.

Authors:  R Ahmad
Journal:  BMJ       Date:  1999-06-12

2.  The SF36 as an outcome measure of services for end stage renal failure.

Authors:  J P Wight; L Edwards; J Brazier; S Walters; J N Payne; C B Brown
Journal:  Qual Health Care       Date:  1998-12

3.  A clinical score to predict 6-month prognosis in elderly patients starting dialysis for end-stage renal disease.

Authors:  Cécile Couchoud; Michel Labeeuw; Olivier Moranne; Vincent Allot; Vincent Esnault; Luc Frimat; Bénédicte Stengel
Journal:  Nephrol Dial Transplant       Date:  2008-12-18       Impact factor: 5.992

4.  Functional cardiovascular reserve predicts survival pre-kidney and post-kidney transplantation.

Authors:  Stephen M S Ting; Hasan Iqbal; Hemali Kanji; Thomas Hamborg; Nicolas Aldridge; Nithya Krishnan; Chris H E Imray; Prithwish Banerjee; Rosemary Bland; Robert Higgins; Daniel Zehnder
Journal:  J Am Soc Nephrol       Date:  2013-11-14       Impact factor: 10.121

5.  Charlson comorbidity score is a strong predictor of mortality in hemodialysis patients.

Authors:  Manoch Rattanasompattikul; Usama Feroze; Miklos Z Molnar; Ramanath Dukkipati; Csaba P Kovesdy; Allen R Nissenson; Keith C Norris; Joel D Kopple; Kamyar Kalantar-Zadeh
Journal:  Int Urol Nephrol       Date:  2011-11-30       Impact factor: 2.370

6.  Is there a rationale for rationing chronic dialysis? A hospital based cohort study of factors affecting survival and morbidity.

Authors:  S M Chandna; J Schulz; C Lawrence; R N Greenwood; K Farrington
Journal:  BMJ       Date:  1999-01-23

7.  Health-related quality of life and long-term mortality in young and middle-aged hemodialysis patients.

Authors:  Vladimir A Dobronravov; Irina A Vasilieva
Journal:  Int Urol Nephrol       Date:  2021-05-24       Impact factor: 2.370

8.  Development and validation of a predictive mortality risk score from a European hemodialysis cohort.

Authors:  Jürgen Floege; Iain A Gillespie; Florian Kronenberg; Stefan D Anker; Ioanna Gioni; Sharon Richards; Ronald L Pisoni; Bruce M Robinson; Daniele Marcelli; Marc Froissart; Kai-Uwe Eckardt
Journal:  Kidney Int       Date:  2015-02-04       Impact factor: 10.612

9.  Worldwide, mortality risk is high soon after initiation of hemodialysis.

Authors:  Bruce M Robinson; Jinyao Zhang; Hal Morgenstern; Brian D Bradbury; Leslie J Ng; Keith P McCullough; Brenda W Gillespie; Raymond Hakim; Hugh Rayner; Joan Fort; Tadao Akizawa; Francesca Tentori; Ronald L Pisoni
Journal:  Kidney Int       Date:  2013-06-26       Impact factor: 10.612

10.  Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts.

Authors:  Marine Lorent; Magali Giral; Manuel Pascual; Michael T Koller; Jürg Steiger; Katy Trébern-Launay; Christophe Legendre; Henri Kreis; Georges Mourad; Valérie Garrigue; Lionel Rostaing; Nassim Kamar; Michèle Kessler; Marc Ladrière; Emmanuel Morelon; Fanny Buron; Dela Golshayan; Yohann Foucher
Journal:  PLoS One       Date:  2016-05-06       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.