Literature DB >> 29507006

Association between Duration of Predialysis Care and Mortality after Dialysis Start.

Ping Liu1, Robert R Quinn1, Matthew J Oliver2, Paul E Ronksley1, Brenda R Hemmelgarn1, Hude Quan1, Swapnil Hiremath3, Aminu K Bello4, Peter G Blake5, Amit X Garg6, John Johnson7, Mauro Verrelli8, James M Zacharias8, Samar Abd ElHafeez1,9, Marcello Tonelli1, Pietro Ravani10.   

Abstract

BACKGROUND AND OBJECTIVES: Early nephrology referral is recommended for people with CKD on the basis of observational studies showing that longer nephrology care before dialysis start (predialysis care) is associated with lower mortality after dialysis start. This association may be observed because predialysis care truly reduces mortality or because healthier people with an uncomplicated course of disease will have both longer predialysis care and lower risk for death. We examined whether the survival benefit of longer predialysis care exists after accounting for the potential confounding effect of disease course that may also be affected by predialysis care. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We performed a retrospective cohort study and used data from 3152 adults with end stage kidney failure starting dialysis between 2004 and 2014 in five Canadian dialysis programs. We obtained duration of predialysis care from the earliest nephrology outpatient visit to dialysis start; markers of disease course, including inpatient or outpatient dialysis start and residual kidney function around dialysis start; and all-cause mortality after dialysis start.
RESULTS: The percentages of participants with 0, 1-119, 120-364, and ≥365 days of predialysis care were 23%, 8%, 10%, and 59%, respectively. When we ignored markers of disease course as in previous studies, longer predialysis care was associated with lower mortality (hazard ratio120-364 versus 0-119 days, 0.60; 95% confidence interval, 0.46 to 0.78]; hazard ratio≥365 versus 0-119 days, 0.60; 95% confidence interval, 0.51 to 0.71; standard Cox model adjusted for demographics and laboratory and clinical characteristics). When we additionally accounted for markers of disease course using the inverse probability of treatment weighted Cox model, this association was weaker and no longer significant (hazard ratio120-364 versus 0-119 days, 0.84; 95% confidence interval, 0.60 to 1.18; hazard ratio≥365 versus 0-119 days, 0.88; 95% confidence interval, 0.69 to 1.13).
CONCLUSIONS: The association between longer predialysis care and lower mortality after dialysis start is weaker and imprecise after accounting for patients' course of disease.
Copyright © 2018 by the American Society of Nephrology.

Entities:  

Keywords:  Canada; Demography; Disease Progression; Fluid Therapy; Inpatients; Outpatients; Proportional Hazards Models; Referral and Consultation; Renal Insufficiency, Chronic; Retrospective Studies; kidney failure; mortality risk; nephrology; peritoneal dialysis; predialysis care; referral; renal dialysis

Mesh:

Year:  2018        PMID: 29507006      PMCID: PMC5989670          DOI: 10.2215/CJN.11951017

Source DB:  PubMed          Journal:  Clin J Am Soc Nephrol        ISSN: 1555-9041            Impact factor:   8.237


  20 in total

1.  Trajectories of kidney function decline in the 2 years before initiation of long-term dialysis.

Authors:  Ann M O'Hare; Adam Batten; Nilka Ríos Burrows; Meda E Pavkov; Leslie Taylor; Indra Gupta; Jeff Todd-Stenberg; Charles Maynard; Rudolph A Rodriguez; Fliss E M Murtagh; Eric B Larson; Desmond E Williams
Journal:  Am J Kidney Dis       Date:  2012-02-04       Impact factor: 8.860

2.  Outcomes in patients with chronic kidney disease referred late to nephrologists: a meta-analysis.

Authors:  Micah R Chan; Aaron T Dall; Kathlyn E Fletcher; Na Lu; Hariprasad Trivedi
Journal:  Am J Med       Date:  2007-12       Impact factor: 4.965

Review 3.  Outcomes of early versus late nephrology referral in chronic kidney disease: a systematic review.

Authors:  Neil A Smart; Thomas T Titus
Journal:  Am J Med       Date:  2011-11       Impact factor: 4.965

4.  Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts: a collaborative meta-analysis.

Authors:  Kunihiro Matsushita; Marije van der Velde; Brad C Astor; Mark Woodward; Andrew S Levey; Paul E de Jong; Josef Coresh; Ron T Gansevoort
Journal:  Lancet       Date:  2010-05-17       Impact factor: 79.321

5.  Timing of nephrology referral: influence on mortality and morbidity.

Authors:  C Roubicek; P Brunet; L Huiart; X Thirion; F Leonetti; B Dussol; K Jaber; D Andrieu; P Ramananarivo; Y Berland
Journal:  Am J Kidney Dis       Date:  2000-07       Impact factor: 8.860

Review 6.  Chronic Kidney Disease.

Authors:  Angela C Webster; Evi V Nagler; Rachael L Morton; Philip Masson
Journal:  Lancet       Date:  2016-11-23       Impact factor: 79.321

7.  Prevalence, predictors, and consequences of late nephrology referral at a tertiary care center.

Authors:  P Arora; G T Obrador; R Ruthazer; A T Kausz; K B Meyer; C S Jenuleson; B J Pereira
Journal:  J Am Soc Nephrol       Date:  1999-06       Impact factor: 10.121

8.  Predicting the risk of 1-year mortality in incident dialysis patients: accounting for case-mix severity in studies using administrative data.

Authors:  Robert R Quinn; Andreas Laupacis; Janet E Hux; Matthew J Oliver; Peter C Austin
Journal:  Med Care       Date:  2011-03       Impact factor: 2.983

Review 9.  Early referral to specialist nephrology services for preventing the progression to end-stage kidney disease.

Authors:  Neil A Smart; Gudrun Dieberg; Maleeka Ladhani; Thomas Titus
Journal:  Cochrane Database Syst Rev       Date:  2014-06-18

Review 10.  A systematic analysis of worldwide population-based data on the global burden of chronic kidney disease in 2010.

Authors:  Katherine T Mills; Yu Xu; Weidong Zhang; Joshua D Bundy; Chung-Shiuan Chen; Tanika N Kelly; Jing Chen; Jiang He
Journal:  Kidney Int       Date:  2015-07-29       Impact factor: 10.612

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1.  Nephrology consultation and mortality in people with stage 4 chronic kidney disease: a population-based study.

Authors:  Ping Liu; Robert R Quinn; Mohammad Ehsanul Karim; Aminu Bello; Helen Tam-Tham; Robert Weaver; Paul E Ronksley; Hude Quan; Giovanni F M Strippoli; Braden Manns; Brenda R Hemmelgarn; Marcello Tonelli; Pietro Ravani
Journal:  CMAJ       Date:  2019-03-11       Impact factor: 8.262

2.  Machine Learning to Identify Dialysis Patients at High Death Risk.

Authors:  Oguz Akbilgic; Yoshitsugu Obi; Praveen K Potukuchi; Ibrahim Karabayir; Danh V Nguyen; Melissa Soohoo; Elani Streja; Miklos Z Molnar; Connie M Rhee; Kamyar Kalantar-Zadeh; Csaba P Kovesdy
Journal:  Kidney Int Rep       Date:  2019-06-22

3.  Primary care referrals to nephrology in patients with advanced kidney disease.

Authors:  Ajay Dharod; Richa Bundy; Gregory B Russell; William Y Rice; Cameron E Golightly; Gary E Rosenthal; Barry I Freedman
Journal:  Am J Manag Care       Date:  2020-11       Impact factor: 2.229

4.  Pre-ESKD Nephrology Care and Employment at the Start of Dialysis.

Authors:  Ahmed A Awan; Bo Zhao; Samaya J Anumudu; Wolfgang C Winkelmayer; Vivian Ho; Kevin F Erickson
Journal:  Kidney Int Rep       Date:  2020-04-06

5.  The Pre-Dialysis Care Trajectory of Chronic Kidney Disease Patients and the Start of Dialysis in Emergency: A Mixed Method Study Protocol.

Authors:  Maxime Raffray; Sahar Bayat; Arnaud Campéon; Laëtitia Laude; Cécile Vigneau
Journal:  Int J Environ Res Public Health       Date:  2019-12-09       Impact factor: 3.390

  5 in total

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