Literature DB >> 20176613

Use of 12x/month haemoglobin monitoring with a computer algorithm reduces haemoglobin variability.

Warren R Ho1, Michael J Germain, Jane Garb, Sue Picard, Molly-Kate Mackie, Cherry Bartlett, Eric J Will.   

Abstract

BACKGROUND: Haemoglobin variability may be associated with increased death. Frequent haemoglobin monitoring may allow earlier detection of trends in haemoglobin slopes, alerting staff to intercurrent events. The more frequent haemoglobin values may provide early evidence of response to erythropoietin (EPO) doses, and allow more appropriate anaemia management. Our objective is to assess whether frequent haemoglobin monitoring data (12x/month) using a computer algorithm (AMIE, Leeds, UK) will reduce haemoglobin variability compared with 1x/month monitoring.
METHODS: We performed an observational case-control study of 44 unselected patients, comprising one dialysis facility measuring Crit-Line haemoglobin, lab haemoglobin, standard deviation of residuals as surrogate of haemoglobin variability and EPO dosing.
RESULTS: Haemoglobin variability and 'percent in target haemoglobin range' significantly improved with 12x/month haemoglobin results using a computer algorithm. There was also a non-significant trend toward for lower EPO doses.
CONCLUSION: Use of a computer algorithm to analyse 12x/month haemoglobin values provides early evidence of haemoglobin trends and allows more appropriate anaemia management, with decreased haemoglobin variability, lower EPO doses and more patients achieving target haemoglobin.

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Year:  2010        PMID: 20176613     DOI: 10.1093/ndt/gfq016

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  5 in total

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Authors:  Adam E Gaweda; Brian H Nathanson; Alfred A Jacobs; George R Aronoff; Michael J Germain; Michael E Brier
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Review 2.  Dashboard systems: implementing pharmacometrics from bench to bedside.

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3.  CRIT-LINE: a noninvasive tool to monitor hemoglobin levels in pediatric hemodialysis patients.

Authors:  Rouba Garro; Scott Sutherland; Liz Bayes; Steven Alexander; Cynthia Wong
Journal:  Pediatr Nephrol       Date:  2015-04-09       Impact factor: 3.714

4.  The Role of Feedback Control Design in Developing Anemia Management Protocols.

Authors:  Yossi Chait; Michael J Germain; Christopher V Hollot; Joseph Horowitz
Journal:  Ann Biomed Eng       Date:  2020-05-07       Impact factor: 3.934

5.  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
  5 in total

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