Literature DB >> 7492481

On-line monitoring of the delivery of the hemodialysis prescription.

P R Keshaviah1, J P Ebben, P F Emerson.   

Abstract

The BioStat 1000 is a new device which employs dialysate-based urea kinetics to calculate the dose of dialysis (Kt/V) based on a two-pool model and protein catabolic rate (PCR). Previous methods relying on blood sampling techniques were subject to error and difficult to implement. This paper describes the features of the Biostat and the results of the first clinical validation study with an early prototype. The BioStat was found to compare favorably with the reference method of direct dialysate quantification (mDDQ) which had been modified to obtain a "two-pool" Kt/V. In 31 patients no significant difference was found between mean Kt/V from the mDDQ and the mean Kt/V from the BioStat (1.35 +/- 0.33 versus 1.38 +/- 0.36, respectively). The PCR was also not significantly different (53.4 +/- 18.5 g/day versus 51.8 +/- 16 g/day, respectively). The BioStat was demonstrated to be a convenient method producing reliable results.

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Year:  1995        PMID: 7492481     DOI: 10.1007/bf00867675

Source DB:  PubMed          Journal:  Pediatr Nephrol        ISSN: 0931-041X            Impact factor:   3.714


  16 in total

1.  Introduction and summary. Proceedings from the Morbidity, Mortality and Prescription of Dialysis Symposium, Dallas, Tx, September 15 to 17, 1989.

Authors: 
Journal:  Am J Kidney Dis       Date:  1990-05       Impact factor: 8.860

2.  Shortfalls in the delivery of dialysis.

Authors:  J A Sargent
Journal:  Am J Kidney Dis       Date:  1990-05       Impact factor: 8.860

3.  A kinetic survey of US hemodialysis prescriptions.

Authors:  F A Gotch; S Yarian; M Keen
Journal:  Am J Kidney Dis       Date:  1990-05       Impact factor: 8.860

4.  A concordance correlation coefficient to evaluate reproducibility.

Authors:  L I Lin
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

5.  A mechanistic analysis of the National Cooperative Dialysis Study (NCDS).

Authors:  F A Gotch; J A Sargent
Journal:  Kidney Int       Date:  1985-09       Impact factor: 10.612

6.  Second generation logarithmic estimates of single-pool variable volume Kt/V: an analysis of error.

Authors:  J T Daugirdas
Journal:  J Am Soc Nephrol       Date:  1993-11       Impact factor: 10.121

7.  Principles of prescribing dialysis therapy: implementing recommendations from the National Cooperative Dialysis Study.

Authors:  E G Lowrie; B P Teehan
Journal:  Kidney Int Suppl       Date:  1983-04       Impact factor: 10.545

8.  Nitrogen balance during intermittent dialysis therapy of uremia.

Authors:  M F Borah; P Y Schoenfeld; F A Gotch; J A Sargent; M Wolfsen; M H Humphreys
Journal:  Kidney Int       Date:  1978-11       Impact factor: 10.612

9.  Mortality and duration of hemodialysis treatment.

Authors:  P J Held; N W Levin; R R Bovbjerg; M V Pauly; L H Diamond
Journal:  JAMA       Date:  1991-02-20       Impact factor: 56.272

10.  Effect of the hemodialysis prescription of patient morbidity: report from the National Cooperative Dialysis Study.

Authors:  E G Lowrie; N M Laird; T F Parker; J A Sargent
Journal:  N Engl J Med       Date:  1981-11-12       Impact factor: 91.245

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  1 in total

1.  Do only small uremic toxins, chromophores, contribute to the online dialysis dose monitoring by UV absorbance?

Authors:  Jürgen Arund; Risto Tanner; Fredrik Uhlin; Ivo Fridolin
Journal:  Toxins (Basel)       Date:  2012-10-18       Impact factor: 4.546

  1 in total

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