Literature DB >> 30078411

Predialysis Kidney Function and Its Rate of Decline Predict Mortality and Hospitalizations After Starting Dialysis.

Melissa Soohoo1, Elani Streja2, Yoshitsugu Obi1, Connie M Rhee2, Daniel L Gillen3, Keiichi Sumida4, Danh V Nguyen5, Csaba P Kovesdy4, Kamyar Kalantar-Zadeh6.   

Abstract

OBJECTIVE: To determine whether kidney function level and its rate of decline in the immediate predialysis period among veterans transitioning to end-stage renal disease (ESRD) predict postdialysis mortality and hospitalization. PATIENTS AND METHODS: In 19,985 veterans transitioning to ESRD during the period October 1, 2007, to March 30, 2014, we examined kidney function and its slope over the final year of the pre-ESRD(prelude) period. Two categories of low vs high estimated glomerular filtration rate (eGFR, dichotomized at 10 mL/min/1.73 m2) and slow vs fast slope (dichotomized at -10 mL/min/1.73 m2/y) were combined into 4 groups. Their associations with 12-month post-ESRD all-cause and cardiovascular (CV) mortality and hospitalization rates were examined in adjusted models accounting for clinical characteristics and laboratory measurements at transition.
RESULTS: Patients, 66±11 years old, and 34% blacks, had a median (interquartile range) eGFR at transition and slope of 9.7 (7.1-13.3) mL/min/1.73 m2 and -10.5 (-18.8 to -5.9) mL/min/1.73 m2/y, respectively. Patients with a low eGFR and slow slope had the lowest 12-month all-cause and CV mortality risks and hospitalization rate. Conversely, patients with high eGFR and fast slope had the highest risk of all-cause and CV mortality and hospitalization rate compared with patients with a low eGFR and slow slope. This relationship persisted in sensitivity analyses, including propensity scoring.
CONCLUSION: A kidney profile of a low eGFR and slow slope in the prelude period is associated with favorable early dialysis outcomes in veteran patients. Trials to examine a more conservative approach to dialysis are warranted.
Copyright © 2018 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30078411      PMCID: PMC6116733          DOI: 10.1016/j.mayocp.2018.01.030

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  33 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.  Predialysis health, dialysis timing, and outcomes among older United States adults.

Authors:  Deidra C Crews; Julia J Scialla; Jiannong Liu; Haifeng Guo; Karen Bandeen-Roche; Patti L Ephraim; Bernard G Jaar; Stephen M Sozio; Dana C Miskulin; Navdeep Tangri; Tariq Shafi; Klemens B Meyer; Albert W Wu; Neil R Powe; L Ebony Boulware
Journal:  J Am Soc Nephrol       Date:  2013-10-24       Impact factor: 10.121

Review 3.  Transition of care from pre-dialysis prelude to renal replacement therapy: the blueprints of emerging research in advanced chronic kidney disease.

Authors:  Kamyar Kalantar-Zadeh; Csaba P Kovesdy; Elani Streja; Connie M Rhee; Melissa Soohoo; Joline L T Chen; Miklos Z Molnar; Yoshitsugu Obi; Daniel Gillen; Danh V Nguyen; Keith C Norris; John J Sim; Steve S Jacobsen
Journal:  Nephrol Dial Transplant       Date:  2017-04-01       Impact factor: 5.992

4.  Comparative effectiveness of early versus conventional timing of dialysis initiation in advanced CKD.

Authors:  Deidra C Crews; Julia J Scialla; L Ebony Boulware; Sankar D Navaneethan; Joseph V Nally; Xiaobo Liu; Susana Arrigain; Jesse D Schold; Patti L Ephraim; Stacey E Jolly; Stephen M Sozio; Wieneke M Michels; Dana C Miskulin; Navdeep Tangri; Tariq Shafi; Albert W Wu; Karen Bandeen-Roche
Journal:  Am J Kidney Dis       Date:  2014-02-06       Impact factor: 8.860

Review 5.  Modeling longitudinal data and its impact on survival in observational nephrology studies: tools and considerations.

Authors:  Elani Streja; Leanne Goldstein; Melissa Soohoo; Yoshitsugu Obi; Kamyar Kalantar-Zadeh; Connie M Rhee
Journal:  Nephrol Dial Transplant       Date:  2017-04-01       Impact factor: 5.992

6.  Incremental Hemodialysis, Residual Kidney Function, and Mortality Risk in Incident Dialysis Patients: A Cohort Study.

Authors:  Yoshitsugu Obi; Elani Streja; Connie M Rhee; Vanessa Ravel; Alpesh N Amin; Adamasco Cupisti; Jing Chen; Anna T Mathew; Csaba P Kovesdy; Rajnish Mehrotra; Kamyar Kalantar-Zadeh
Journal:  Am J Kidney Dis       Date:  2016-02-09       Impact factor: 8.860

7.  Association of residual urine output with mortality, quality of life, and inflammation in incident hemodialysis patients: the Choices for Healthy Outcomes in Caring for End-Stage Renal Disease (CHOICE) Study.

Authors:  Tariq Shafi; Bernard G Jaar; Laura C Plantinga; Nancy E Fink; John H Sadler; Rulan S Parekh; Neil R Powe; Josef Coresh
Journal:  Am J Kidney Dis       Date:  2010-06-03       Impact factor: 8.860

8.  Urea kinetics and when to commence dialysis.

Authors:  J Tattersall; R Greenwood; K Farrington
Journal:  Am J Nephrol       Date:  1995       Impact factor: 3.754

Review 9.  Association of early versus late initiation of dialysis with mortality: systematic review and meta-analysis.

Authors:  Yu Pan; Xu Dong Xu; Li Li Guo; Ling Ling Cai; Hui Min Jin
Journal:  Nephron Clin Pract       Date:  2012-05-11

10.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

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  3 in total

1.  Transitional Care Units: Greater Than the Sum of Their Parts.

Authors:  Brendan T Bowman
Journal:  Clin J Am Soc Nephrol       Date:  2019-03-27       Impact factor: 8.237

2.  Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospective cohort study using a large data set from a hospital in Japan.

Authors:  Daijo Inaguma; Hiroki Hayashi; Ryosuke Yanagiya; Akira Koseki; Toshiya Iwamori; Michiharu Kudo; Shingo Fukuma; Yukio Yuzawa
Journal:  BMJ Open       Date:  2022-06-09       Impact factor: 3.006

3.  Statin Therapy Before Transition to End-Stage Renal Disease With Posttransition Outcomes.

Authors:  Melissa Soohoo; Hamid Moradi; Yoshitsugu Obi; Connie M Rhee; Elvira O Gosmanova; Miklos Z Molnar; Moti L Kashyap; Daniel L Gillen; Csaba P Kovesdy; Kamyar Kalantar-Zadeh; Elani Streja
Journal:  J Am Heart Assoc       Date:  2019-03-19       Impact factor: 5.501

  3 in total

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