Literature DB >> 19781831

Computerized decision support for EPO dosing in hemodialysis patients.

Dana C Miskulin1, Daniel E Weiner, Hocine Tighiouart, Vladimir Ladik, Karen Servilla, Philip G Zager, Alice Martin, H K Johnson, Klemens B Meyer.   

Abstract

BACKGROUND: Anemia management in hemodialysis patients poses significant challenges. The present study explored the hypothesis that computerized dosing of intravenous erythropoietin (EPO) would increase the percentage of hemoglobin (Hb) values within the target range and reduce staff time spent on anemia management. STUDY
DESIGN: Retrospective cohort. SETTING & PARTICIPANTS: In-center hemodialysis patients who received EPO at Dialysis Clinic Inc dialysis units for at least 3 months between October 1, 2005, and April 30, 2006. QUALITY IMPROVEMENT PLAN: Computerized decision support (CDS) for EPO dosing is compared with manual physician-directed dosing. OUTCOMES: Achieved monthly Hb values, quantity of EPO administered, and time spent by dialysis unit personnel. MEASUREMENTS: Monthly Hb and quantity of EPO administered to 1,118 patients from 18 dialysis units treated using CDS and 7,823 patients from 125 dialysis units treated using manual dosing.
RESULTS: There was no difference in the likelihood of a monthly Hb level of 11-12 or 10-12 g/dL using CDS compared with manual dosing. The likelihood of an Hb level > 12 g/dL decreased and the likelihood of an Hb level < 10 g/dL increased using CDS. EPO use was 4% lower using CDS, although the difference was not statistically significant. CDS was associated with a nearly 50% decrease (P < 0.001) in the time spent by dialysis unit staff on anemia management. LIMITATIONS: Retrospective and nonrandomized.
CONCLUSION: The number of monthly Hb values in an 11- (and 10-) to 12-g/dL target range and EPO use did not differ with EPO dosing using CDS compared with manual dosing. Staff resources devoted to anemia management decreased significantly using CDS.

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Year:  2009        PMID: 19781831      PMCID: PMC2788058          DOI: 10.1053/j.ajkd.2009.07.010

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


  12 in total

1.  Prospective evaluation of an anemia treatment algorithm in hemodialysis patients.

Authors:  P Patterson; M Allon
Journal:  Am J Kidney Dis       Date:  1998-10       Impact factor: 8.860

Review 2.  Medication-related clinical decision support in computerized provider order entry systems: a review.

Authors:  Gilad J Kuperman; Anne Bobb; Thomas H Payne; Anthony J Avery; Tejal K Gandhi; Gerard Burns; David C Classen; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

3.  Protocolized anemia management with erythropoietin in hemodialysis patients: a randomized controlled trial.

Authors:  K Scott Brimble; Christian G Rabbat; Pat McKenna; Kim Lambert; Euan J Carlisle
Journal:  J Am Soc Nephrol       Date:  2003-10       Impact factor: 10.121

4.  Model predictive control of erythropoietin administration in the anemia of ESRD.

Authors:  Adam E Gaweda; Alfred A Jacobs; George R Aronoff; Michael E Brier
Journal:  Am J Kidney Dis       Date:  2008-01       Impact factor: 8.860

5.  The relationship between dialysis performance measures: adequacy and anemia management.

Authors:  Yonatan S Spolter; Stephen L Seliger; Min Zhan; Van Doren Hsu; Lori D Walker; Jeffrey C Fink
Journal:  Am J Kidney Dis       Date:  2007-11       Impact factor: 8.860

6.  Dosage individualization of erythropoietin using a profile-dependent support vector regression.

Authors:  José David Martín-Guerrero; Gustavo Camps-Valls; Emilio Soria-Olivas; Antonio José Serrano-López; Juan José Pérez-Ruixo; Nicolas Víctor Jiménez-Torres
Journal:  IEEE Trans Biomed Eng       Date:  2003-10       Impact factor: 4.538

7.  A pharmacodynamic model of erythropoietin therapy for uremic anemia.

Authors:  D E Uehlinger; F A Gotch; L B Sheiner
Journal:  Clin Pharmacol Ther       Date:  1992-01       Impact factor: 6.875

8.  Functional data analysis applied to a randomized controlled clinical trial in hemodialysis patients describes the variability of patient responses in the control of renal anemia.

Authors:  Robert M West; Katie Harris; Mark S Gilthorpe; Cae Tolman; Eric J Will
Journal:  J Am Soc Nephrol       Date:  2007-07-11       Impact factor: 10.121

9.  Hemoglobin level variability: associations with comorbidity, intercurrent events, and hospitalizations.

Authors:  James P Ebben; David T Gilbertson; Robert N Foley; Allan J Collins
Journal:  Clin J Am Soc Nephrol       Date:  2006-09-06       Impact factor: 8.237

Review 10.  Development and exploitation of a clinical decision support system for the management of renal anaemia.

Authors:  Eric J Will; Donald Richardson; Cae Tolman; Cherry Bartlett
Journal:  Nephrol Dial Transplant       Date:  2007-06       Impact factor: 5.992

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  10 in total

Review 1.  Predictive modeling for improved anemia management in dialysis patients.

Authors:  Michael E Brier; Adam E Gaweda
Journal:  Curr Opin Nephrol Hypertens       Date:  2011-11       Impact factor: 2.894

Review 2.  Dashboard systems: implementing pharmacometrics from bench to bedside.

Authors:  Diane R Mould; Richard N Upton; Jessica Wojciechowski
Journal:  AAPS J       Date:  2014-06-20       Impact factor: 4.009

3.  Nadir hemoglobin levels after discontinuation of epoetin in hemodialysis patients.

Authors:  Jose A Calvo; Dana C Miskulin; Klemens B Meyer; Daniel E Weiner
Journal:  Clin J Am Soc Nephrol       Date:  2010-07-22       Impact factor: 8.237

4.  Comparative effectiveness studies to improve clinical outcomes in end stage renal disease: the DEcIDE patient outcomes in end stage renal disease study.

Authors:  L Ebony Boulware; Navdeep Tangri; Patti L Ephraim; Julia J Scialla; Stephen M Sozio; Deidra C Crews; Tariq Shafi; Dana C Miskulin; Jiannong Liu; Wendy St Peter; Bernard G Jaar; Albert W Wu; Neil R Powe; Sankar D Navaneethan; Karen Bandeen-Roche
Journal:  BMC Nephrol       Date:  2012-12-06       Impact factor: 2.388

5.  Association of dialysis facility-level hemoglobin measurement and erythropoiesis-stimulating agent dose adjustment frequencies with dialysis facility-level hemoglobin variation: a retrospective analysis.

Authors:  Irfan Khan; Mahesh Krishnan; Anupam Kothawala; Akhtar Ashfaq
Journal:  BMC Nephrol       Date:  2011-05-20       Impact factor: 2.388

6.  Benefits and drawbacks of electronic health record systems.

Authors:  Nir Menachemi; Taleah H Collum
Journal:  Risk Manag Healthc Policy       Date:  2011-05-11

7.  Successful creation of an anemia management algorithm for hemodialysis patients.

Authors:  Kazuhiro Hara; Yasuhide Mizutani; Hitoshi Kodera; Masato Miyake; Yoshiki Yasuda; Sanae Ohara
Journal:  Int J Nephrol Renovasc Dis       Date:  2015-06-23

8.  Investigating the Perceptions of Primary Care Dietitians on the Potential for Information Technology in the Workplace: Qualitative Study.

Authors:  Aimee Jones; Lana J Mitchell; Rochelle O'Connor; Megan E Rollo; Katherine Slater; Lauren T Williams; Lauren Ball
Journal:  J Med Internet Res       Date:  2018-10-15       Impact factor: 5.428

9.  Trends in anemia management in US hemodialysis patients 2004-2010.

Authors:  Dana C Miskulin; Jing Zhou; Navdeep Tangri; Karen Bandeen-Roche; Courtney Cook; Patti L Ephraim; Deidra C Crews; Julia J Scialla; Stephen M Sozio; Tariq Shafi; Bernard G Jaar; L Ebony Boulware
Journal:  BMC Nephrol       Date:  2013-12-01       Impact factor: 2.388

10.  Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients.

Authors:  Carlo Barbieri; Elena Bolzoni; Flavio Mari; Isabella Cattinelli; Francesco Bellocchio; José D Martin; Claudia Amato; Andrea Stopper; Emanuele Gatti; Iain C Macdougall; Stefano Stuard; Bernard Canaud
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

  10 in total

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