Literature DB >> 11510301

Evaluation of drainage times and alarms with various automated peritoneal dialysis modalities.

L Neri1, G Viglino, A Cappelletti, C Gandolfo.   

Abstract

This paper assesses the variation in total drainage time (TDT) and number of alarms due to low drainage volume (LDV) in automated peritoneal dialysis (APD) patients with varying catheter performance. Catheter performance was measured by drainage break point (DBP) in a supine position. Six patients with DBP > or = 80% underwent three types of APD: non tidal, 50% tidal, and 80% tidal. Six patients with DBP < 70% underwent two types of APD: non tidal and tidal fixed at 5% below DBP. In every case, the fill volume was 2.3 L. For the purpose of the study, each treatment was continued for seven consecutive nights. Home Choice Pro (Baxter Healthcare Corporation, Deerfield, Illinois, U.S.A.) was used to calculate the TDT and LDV. With both the non tidal and tidal treatments, TDT was higher in patients with DBP < 70% as compared with patients with DBP > or = 80%. In the latter group, 50% tidal was the most effective technique in reducing TDT. In patients with DBP < 70%, the tidal treatment reduced not only TDT, but also LDV alarms, as compared to the non tidal treatment. In conclusion, choosing the tidal method helps to reduce LDV alarms and TDT, especially in patients with a low DBP. The Home Choice Pro device is an effective aid in setting up and assessing the dialytic prescription.

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Year:  2001        PMID: 11510301

Source DB:  PubMed          Journal:  Adv Perit Dial        ISSN: 1197-8554


  3 in total

1.  A multicenter survey of why and how tidal peritoneal dialysis (TPD) is being used.

Authors:  Peter G Blake; James A Sloand; Susan McMurray; Arsh K Jain; Sandee Matthews
Journal:  Perit Dial Int       Date:  2014-06       Impact factor: 1.756

2.  The occurrence of increased intraperitoneal volume events in automated peritoneal dialysis in the US: role of programming, patient/user actions and ultrafiltration.

Authors:  Borut Cižman; Steve Lindo; Brian Bilionis; Ira Davis; Aaron Brown; Jennifer Miller; Gerald Phillips; Alex Kriukov; James A Sloand
Journal:  Perit Dial Int       Date:  2014-06       Impact factor: 1.756

3.  Assessing mechanical catheter dysfunction in automated tidal peritoneal dialysis using cycler software: a case control, proof-of-concept study.

Authors:  Krystell Oviedo Flores; Lukas Kaltenegger; Fabian Eibensteiner; Markus Unterwurzacher; Klaus Kratochwill; Christoph Aufricht; Franz König; Andreas Vychytil
Journal:  Sci Rep       Date:  2022-04-05       Impact factor: 4.996

  3 in total

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