01 March 2007
Hemodialysis shortens long in vitro closure times as measured by the PFA-100Aynur Ugur Bilgin, Ihsan Karadogan, Mehmet Artac, Aytug Kizilors, Rasim Bilgin, Levent Undar
Med Sci Monit 2007; 13(3): CR141-145 :: ID: 475622
Background: Hemorrhagic complications are commonly encountered in patients with end-stage renal disease (ESRD). Uremic patients show a bleeding diathesis mainly due to abnormalities in platelet function.
There are several tests to detect and measure impairment of hemostasis in these patients, but none appear to be ideal. In recent years, the PFA-100 (platelet function analyzer) was introduced to measure primary, platelet-dependent hemostasis. In this study, the effect of hemodialysis
on platelet function was evaluated using the PFA-100 in patients with ESRD.
Material/Methods: The study was performed on 45 patients with ESRD undergoing regular hemodialysis aged between 20–76 years (median: 54 years). Collagen/epinephrine (CEPI) and collagen/ADP (CADP)
closure times were measured before and after the hemodialysis session using the PFA.
Results: CEPI (normal range: 85–165 sec) was signifi cantly shortened from 230±60 to 206±63 sec after hemodialysis (p0.05). CEPI closure times of 10 (26%) in 38 patients with long CT
returned to normal after hemodialysis. CADP closure times of 9 (25%) of 36 patients with long CT returned to normal after hemodialysis.
Conclusions: This study confi rms the existence of a dysfunction of primary hemostasis in patients with ESRD, and hemodialysis has the ability to correct some part of the hemostatic disturbances. As a sensitive, specifi c, reproducible, easy to perform, and noninvasive test for platelet-related primary hemostasis, the PFA-100 system may become a useful tool for an overall evaluation of primary hemostasis in patients with ESRD.
Keywords: Adenosine Diphosphate - metabolism, Blood Platelets - physiology, Collagen - metabolism, Epinephrine - metabolism, Hematocrit, Hemoglobins - metabolism, Platelet Count, Platelet Function Tests, Renal Dialysis, Time Factors
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