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Comparative analysis of the long-term effect of two families of high-flux polysulfone dialysers on platelet count: a retrospective cross-sectional study

Authors :
Del Giorno R
Berwert L
Pianca S
Bianchi G
Giannini O
Gabutti L
Source :
Therapeutics and Clinical Risk Management, Vol Volume 13, Pp 1415-1422 (2017)
Publication Year :
2017
Publisher :
Dove Medical Press, 2017.

Abstract

Rosaria Del Giorno,1 Lorenzo Berwert,1 Silvio Pianca,2 Giorgia Bianchi,3 Olivier Giannini,4 Luca Gabutti1 1Department of Internal Medicine, Nephrology and Dialysis Unit, Regional Hospital of Bellinzona and Valli, Ente Ospedaliero Cantonale, Bellinzona, 2Nephrology Unit, Civico Hospital, Ente Ospedaliero Cantonale, Lugano, 3Nephrology Unit, La Carità Hospital, Ente Ospedaliero Cantonale, Locarno, 4Nephrology Unit, Beata Vergine Hospital, Ente Ospedaliero Cantonale, Mendrisio, Switzerland Introduction: Thrombocytopenia is a potential complication of hemodialysis (HD), and its occurrence has been described even with highly biocompatible polysulfone (PSf) membranes. Dialysis units routinely monitor platelet (PLT) count at the beginning of HD sessions. However, considering that the long-term effects on PLT count could easily be missed, the prevalence of HD-related thrombocytopenia could be underestimated. In the present study, we aimed to investigate the following: 1) the long-term impact of HD treatment on PLT count, comparing two families of dialysis membranes made up of similar PSfs; 2) whether the switch between the dialysis membranes studied significantly affects PLT count; and 3) the prevalence and the risk of HD-induced thrombocytopenia according to the dialysis membranes used. Methods: A cross-sectional retrospective study was performed comprising 157 adult chronic HD patients. The HD membranes under investigation were of the series FX, Helixone® Fresenius (Filters A), and Polyflux® Gambro (Filters B). Patients were treated in 4 dialysis units in Southern Switzerland. Data were collected from a centralized computing platform. Findings: PLT count significantly differs between Filters A and B with, respectively, 188 (153–243) ×10E9/L versus 214 (179–255) ×10E9/L (p=0.036). The prevalence of thrombocytopenia was higher for Filter A compared with Filter B (28.4% versus 12.8%; p

Details

Language :
English
ISSN :
1178203X
Volume :
ume 13
Database :
Directory of Open Access Journals
Journal :
Therapeutics and Clinical Risk Management
Publication Type :
Academic Journal
Accession number :
edsdoj.2d4b0ad7454d83be6654ce3d7e900c
Document Type :
article