Literature DB >> 17526548

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

Eric J Will1, Donald Richardson, Cae Tolman, Cherry Bartlett.   

Abstract

The management of renal disease and its comorbidities lends itself to the use of computer-assisted decision support systems (CDSS); however, several issues with regard to computer-based treatment algorithms remain unresolved. This review examines the development and application of a clinical decision support system for the management of renal anaemia. Studies illustrate the dependence of outcome on prespecified haemoglobin (Hb) intervention values (thresholds) and the use of a computer program containing treatment algorithms to manage Epoetin doses and iron supplements. Early experimental studies and randomized, controlled studies are discussed that examine the use of clinical measures of haemodialysis (HD) and peritoneal dialysis (PD), including Hb, serum ferritin and red cell hypochromia or transferrin saturation. Broad flexibility of erythropoietic agent, dosing, route of administration and frequency has been built into computer programs written for clinical and experimental application. While further studies with the system are anticipated, predictability and sustainability of Hb outcomes and a capacity to manage large patient groups have been demonstrated and wider application appears promising.

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Year:  2007        PMID: 17526548     DOI: 10.1093/ndt/gfm163

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


  4 in total

1.  Determining optimum hemoglobin sampling for anemia management from every-treatment data.

Authors:  Adam E Gaweda; Brian H Nathanson; Alfred A Jacobs; George R Aronoff; Michael J Germain; Michael E Brier
Journal:  Clin J Am Soc Nephrol       Date:  2010-07-29       Impact factor: 8.237

Review 2.  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

3.  Computerized decision support for EPO dosing in hemodialysis patients.

Authors:  Dana C Miskulin; Daniel E Weiner; Hocine Tighiouart; Vladimir Ladik; Karen Servilla; Philip G Zager; Alice Martin; H K Johnson; Klemens B Meyer
Journal:  Am J Kidney Dis       Date:  2009-09-25       Impact factor: 8.860

Review 4.  A short cultural history of the UK Renal Registry 1995-2020.

Authors:  Eric John Will
Journal:  BMC Nephrol       Date:  2020-08-12       Impact factor: 2.388

  4 in total

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