Literature DB >> 26588170

Patterns of Dialysis Initiation Affect Outcomes of Incident Hemodialysis Patients.

Yung-Ming Chen1, Yi-Cheng Wang, Shang-Jyh Hwang, Shih-Hwa Lin, Kwan-Dun Wu.   

Abstract

AIMS: There is a trend toward deferring the initiation of chronic dialysis until absolutely indicated. This strategy, however, might lead to increased uncertainties in the timing of dialysis access creation prior to dialysis onset for patients approaching end-stage renal disease (ESRD), and the impact of which on hard end points remains largely unclear. We hereby investigated the effect of varied patterns of dialysis initiation on outcomes of new-onset hemodialysis (HD) patients.
METHODS: Four hundred sixty-two prospectively recruited patients were stratified into planned elective (n = 117, 25%), planned urgent (n = 65, 14%) or unplanned urgent (n = 280, 61%) starters based on the timing of access creation with respect to dialysis initiation. The outcome measures were all-cause mortality, hospitalization and access reconstruction over 2 years.
RESULTS: The mean estimated glomerular filtration rate (eGFR) was higher in the planned elective than in the planned urgent or unplanned urgent starters at access creation (5.3 vs. 4.4 or 4.3 ml/min/1.73 m2), but not at dialysis initiation (4.2 vs. 3.9 or 4.3 ml/min/1.73 m2). During the follow-up, the planned elective population exhibited the lowest rates of overall mortality and hospitalization, but not access reconstruction. Multivariate Cox's regression analysis showed that the planned urgent and the unplanned urgent groups, comparing to the planned elective population, displayed a greater risk of early death (hazards ratio [HR] 3.324, 95% CI 1.409-7.840; HR 2.510, 95% CI 1.177-5.355, respectively) and early hospitalization (sub-hazards ratio [SubHR] 2.238, 95% CI 1.530-3.274; SubHR 1.529, 95% CI 1.096-2.133, respectively).
CONCLUSION: Incident ESRD patients undergoing planned elective start of HD, compared to their planned or unplanned urgent counterparts, showed reduced risk of overall mortality and hospitalization in the first 2 years after commencing long-term dialysis at a mean eGFR <5 ml/min/1.73 m2.
© 2015 S. Karger AG, Basel.

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Year:  2015        PMID: 26588170     DOI: 10.1159/000442168

Source DB:  PubMed          Journal:  Nephron        ISSN: 1660-8151            Impact factor:   2.847


  13 in total

1.  Early Mortality Associated with Inpatient versus Outpatient Hemodialysis Initiation in a Large Cohort of US Veterans with Incident End-Stage Renal Disease.

Authors:  Faisal M Arif; Keiichi Sumida; Miklos Z Molnar; Praveen K Potukuchi; Jun Ling Lu; Fatima Hassan; Fridtjof Thomas; Omer A Siddiqui; Geeta G Gyamlani; Kamyar Kalantar-Zadeh; Csaba P Kovesdy
Journal:  Nephron       Date:  2017-04-27       Impact factor: 2.847

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Journal:  Clin Kidney J       Date:  2020-04-17

3.  Comparison of outcomes between emergent-start and planned-start peritoneal dialysis in incident ESRD patients: a prospective observational study.

Authors:  Wen-Yi Li; Yi-Cheng Wang; Shang-Jyh Hwang; Shih-Hua Lin; Kwan-Dun Wu; Yung-Ming Chen
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4.  Abrupt Decline in Kidney Function Precipitating Initiation of Chronic Renal Replacement Therapy.

Authors:  Csaba P Kovesdy; Adnan Naseer; Keiichi Sumida; Miklos Z Molnar; Praveen K Potukuchi; Fridtjof Thomas; Elani Streja; Michael Heung; Kevin C Abbott; Rajiv Saran; Kamyar Kalantar-Zadeh
Journal:  Kidney Int Rep       Date:  2017-12-23

5.  Geographic Variations in the Risk of Emergency First Dialysis for Patients with End Stage Renal Disease in the Bretagne Region, France.

Authors:  Cindy M Padilla; Maxime Raffray; Adélaïde Pladys; Cécile Vigneau; Sahar Bayat
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7.  Predialysis Care Trajectories of Patients With ESKD Starting Dialysis in Emergency in France.

Authors:  Maxime Raffray; Cécile Vigneau; Cécile Couchoud; Sahar Bayat
Journal:  Kidney Int Rep       Date:  2020-10-31

Review 8.  Aging and Renal Disease: Old Questions for New Challenges.

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Journal:  Aging Dis       Date:  2021-04-01       Impact factor: 6.745

9.  Predicting mortality in hemodialysis patients using machine learning analysis.

Authors:  Victoria Garcia-Montemayor; Alejandro Martin-Malo; Carlo Barbieri; Francesco Bellocchio; Sagrario Soriano; Victoria Pendon-Ruiz de Mier; Ignacio R Molina; Pedro Aljama; Mariano Rodriguez
Journal:  Clin Kidney J       Date:  2020-08-11

10.  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

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