Literature DB >> 25500361

Predictors of outpatient kidney function recovery among patients who initiate hemodialysis in the hospital.

LaTonya J Hickson1, Sanjay Chaudhary2, Amy W Williams2, John J Dillon2, Suzanne M Norby2, James R Gregoire2, Robert C Albright2, James T McCarthy2, Bjorg Thorsteinsdottir3, Andrew D Rule2.   

Abstract

BACKGROUND: Recent policy clarifications by the Centers for Medicare & Medicaid Services have changed access to outpatient dialysis care at end-stage renal disease (ESRD) facilities for individuals with acute kidney injury in the United States. Tools to predict "ESRD" and "acute" status in terms of kidney function recovery among patients who previously initiated dialysis therapy in the hospital could help inform patient management decisions. STUDY
DESIGN: Historical cohort study. SETTING & PARTICIPANTS: Incident hemodialysis patients in the Mayo Clinic Health System who initiated in-hospital renal replacement therapy (RRT) and continued outpatient dialysis following hospital dismissal (2006 through 2009). PREDICTOR: Baseline estimated glomerular filtration rate (eGFR), acute tubular necrosis from sepsis or surgery, heart failure, intensive care unit, and dialysis access. OUTCOMES: Kidney function recovery defined as sufficient kidney function for outpatient hemodialysis therapy discontinuation.
RESULTS: Cohort consisted of 281 patients with a mean age of 64 years, 63% men, 45% with heart failure, and baseline eGFR≥30mL/min/1.73m(2) in 46%. During a median of 8 months, 52 (19%) recovered, most (94%) within 6 months. Higher baseline eGFR (HR per 10-mL/min/1.73m(2) increase eGFR, 1.27; 95% CI, 1.16-1.39; P<0.001), acute tubular necrosis from sepsis or surgery (HR, 3.34; 95% CI, 1.83-6.24; P<0.001), and heart failure (HR, 0.40; 95% CI, 0.19-0.78, P=0.007) were independent predictors of recovery within 6 months, whereas first RRT in the intensive care unit and catheter dialysis access were not. There was a positive interaction between absence of heart failure and eGFR≥30mL/min/1.73m(2) for predicting kidney function recovery (P<0.001). LIMITATIONS: Sample size.
CONCLUSIONS: Kidney function recovery in the outpatient hemodialysis unit following in-hospital RRT initiation is not rare. As expected, higher baseline eGFR is an important determinant of recovery. However, patients with heart failure are less likely to recover even with a higher baseline eGFR. Consideration of these factors at hospital discharge informs decisions on ESRD status designation and long-term hemodialysis care.
Copyright © 2015 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute kidney injury (AKI); acute on chronic kidney disease; discontinuation of dialysis; end-stage renal disease (ESRD); heart failure; hospitalization; kidney function prognosis; renal recovery; renal replacement therapy (RRT); reversible renal injury; risk factors; transition to outpatient dialysis

Mesh:

Year:  2014        PMID: 25500361      PMCID: PMC4630340          DOI: 10.1053/j.ajkd.2014.10.015

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


  43 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.  Urinary biomarkers and renal recovery in critically ill patients with renal support.

Authors:  Nattachai Srisawat; Xiaoyan Wen; Minjae Lee; Lan Kong; Michele Elder; Melinda Carter; Mark Unruh; Kevin Finkel; Anitha Vijayan; Mohan Ramkumar; Emil Paganini; Kai Singbartl; Paul M Palevsky; John A Kellum
Journal:  Clin J Am Soc Nephrol       Date:  2011-07-14       Impact factor: 8.237

3.  Association between renal replacement therapy in critically ill patients with severe acute kidney injury and mortality.

Authors:  Sean M Bagshaw; Shigehiko Uchino; John A Kellum; Hiroshi Morimatsu; Stanislao Morgera; Miet Schetz; Ian Tan; Catherine Bouman; Etienne Macedo; Noel Gibney; Ashita Tolwani; Heleen M Oudemans-van Straaten; Claudio Ronco; Rinaldo Bellomo
Journal:  J Crit Care       Date:  2013-09-24       Impact factor: 3.425

4.  An assessment of the RIFLE criteria for acute renal failure in hospitalized patients.

Authors:  Shigehiko Uchino; Rinaldo Bellomo; Donna Goldsmith; Samantha Bates; Claudio Ronco
Journal:  Crit Care Med       Date:  2006-07       Impact factor: 7.598

5.  Heart failure severity scoring system and medical- and health-related quality-of-life outcomes: the HEMO study.

Authors:  Kelly V Liang; Francis Pike; Christos Argyropoulos; Lisa Weissfeld; Jeffrey Teuteberg; Mary Amanda Dew; Mark L Unruh
Journal:  Am J Kidney Dis       Date:  2011-05-06       Impact factor: 8.860

6.  Epidemiology, management, and outcome of severe acute renal failure of critical illness in Australia.

Authors:  W Silvester; R Bellomo; L Cole
Journal:  Crit Care Med       Date:  2001-10       Impact factor: 7.598

Review 7.  Target organ cross talk in cardiorenal syndrome: animal models.

Authors:  Lennart G Bongartz; Branko Braam; Carlo A Gaillard; Maarten J Cramer; Roel Goldschmeding; Marianne C Verhaar; Pieter A Doevendans; Jaap A Joles
Journal:  Am J Physiol Renal Physiol       Date:  2012-08-22

8.  Intensity of renal support in critically ill patients with acute kidney injury.

Authors:  Paul M Palevsky; Jane Hongyuan Zhang; Theresa Z O'Connor; Glenn M Chertow; Susan T Crowley; Devasmita Choudhury; Kevin Finkel; John A Kellum; Emil Paganini; Roland M H Schein; Mark W Smith; Kathleen M Swanson; B Taylor Thompson; Anitha Vijayan; Suzanne Watnick; Robert A Star; Peter Peduzzi
Journal:  N Engl J Med       Date:  2008-05-20       Impact factor: 91.245

9.  Prognosis of patients with acute renal failure in the intensive-care unit: a tale of two eras.

Authors:  J T McCarthy
Journal:  Mayo Clin Proc       Date:  1996-02       Impact factor: 7.616

10.  Derivation and validation of automated electronic search strategies to extract Charlson comorbidities from electronic medical records.

Authors:  Balwinder Singh; Amandeep Singh; Adil Ahmed; Gregory A Wilson; Brian W Pickering; Vitaly Herasevich; Ognjen Gajic; Guangxi Li
Journal:  Mayo Clin Proc       Date:  2012-09       Impact factor: 7.616

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  31 in total

1.  Hospital Readmission among New Dialysis Patients Associated with Young Age and Poor Functional Status.

Authors:  LaTonya J Hickson; Bjorg Thorsteinsdottir; Priya Ramar; Megan S Reinalda; Cynthia S Crowson; Amy W Williams; Robert C Albright; Macaulay A Onuigbo; Andrew D Rule; Nilay D Shah
Journal:  Nephron       Date:  2018-01-09       Impact factor: 2.847

2.  Younger Adults Initiating Hemodialysis: Antidepressant Use for Depression Associated With Higher Health Care Utilization.

Authors:  Diana L Vork; Terry D Schneekloth; Adam C Bartley; Lisa E Vaughan; Maria I Lapid; Sheila G Jowsey-Gregoire; Ziad M El-Zoghby; Sandra M Herrmann; Cheryl L Tran; Robert C Albright; LaTonya J Hickson
Journal:  Mayo Clin Proc       Date:  2018-03       Impact factor: 7.616

3.  End of Life, Withdrawal, and Palliative Care Utilization among Patients Receiving Maintenance Hemodialysis Therapy.

Authors:  Joy Chieh-Yu Chen; Bjorg Thorsteinsdottir; Lisa E Vaughan; Molly A Feely; Robert C Albright; Macaulay Onuigbo; Suzanne M Norby; Christy L Gossett; Margaret M D'Uscio; Amy W Williams; John J Dillon; LaTonya J Hickson
Journal:  Clin J Am Soc Nephrol       Date:  2018-07-19       Impact factor: 8.237

Review 4.  Promoting Kidney Function Recovery in Patients with AKI Requiring RRT.

Authors:  Jorge Cerdá; Kathleen D Liu; Dinna N Cruz; Bertrand L Jaber; Jay L Koyner; Michael Heung; Mark D Okusa; Sarah Faubel
Journal:  Clin J Am Soc Nephrol       Date:  2015-07-02       Impact factor: 8.237

5.  Tolerability and Healthcare Utilization in Maintenance Hemodialysis Patients Undergoing Treatment for Tuberculosis-Related Conditions.

Authors:  Abdurrahman M Hamadah; Lynn M Beaulieu; John W Wilson; Timothy R Aksamit; James R Gregoire; Amy W Williams; John J Dillon; Robert C Albright; Macaulay Onuigbo; Venkateshwaran K Iyer; LaTonya J Hickson
Journal:  Nephron       Date:  2016-02-10       Impact factor: 2.847

6.  Echocardiography Criteria for Structural Heart Disease in Patients With End-Stage Renal Disease Initiating Hemodialysis.

Authors:  LaTonya J Hickson; Sara M Negrotto; Macaulay Onuigbo; Christopher G Scott; Andrew D Rule; Suzanne M Norby; Robert C Albright; Edward T Casey; John J Dillon; Patricia A Pellikka; Sorin V Pislaru; Patricia J M Best; Hector R Villarraga; Grace Lin; Amy W Williams; Vuyisile T Nkomo
Journal:  J Am Coll Cardiol       Date:  2016-03-15       Impact factor: 24.094

7.  Pre-admission proteinuria impacts risk of non-recovery after dialysis-requiring acute kidney injury.

Authors:  Benjamin J Lee; Alan S Go; Rishi Parikh; Thomas K Leong; Thida C Tan; Sophia Walia; Raymond K Hsu; Kathleen D Liu; Chi-Yuan Hsu
Journal:  Kidney Int       Date:  2018-01-15       Impact factor: 10.612

8.  Prevalence and mortality of transient acute kidney injury within 48 h, as new subtype, following coronary angiography: a cohort study.

Authors:  Qiang Li; Mengfei Lin; Haozhang Huang; Liwei Liu; Weihua Chen; Dehua Huang; Ronghui Tang; Miao Zhao; Wen Wei; Bo Wang; Zhidong Huang; Ning Tan; Jiyan Chen; Shiqun Chen; Jin Liu; Yong Liu
Journal:  Clin Exp Nephrol       Date:  2022-01-06       Impact factor: 2.801

9.  Predictors of Recurrent AKI.

Authors:  Edward D Siew; Sharidan K Parr; Khaled Abdel-Kader; Svetlana K Eden; Josh F Peterson; Nisha Bansal; Adriana M Hung; James Fly; Ted Speroff; T Alp Ikizler; Michael E Matheny
Journal:  J Am Soc Nephrol       Date:  2015-08-11       Impact factor: 10.121

10.  Outcomes of acute kidney injury in a nephrology ward.

Authors:  Ana R Fernandes; Márcio S R Viegas; Elsa Q Soares; Sofia S Coelho; Patricia Valério; José C Barreto; José M Vinhas
Journal:  Int Urol Nephrol       Date:  2017-10-11       Impact factor: 2.370

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