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dc.contributor.authorKirmizis, Dimitriosen
dc.contributor.authorPapagianni, Aikaterinien
dc.contributor.authorEfstratiadis, Georgiosen
dc.contributor.authorMemmos, Dimitriosen
dc.creatorKirmizis, Dimitriosen
dc.creatorPapagianni, Aikaterinien
dc.creatorEfstratiadis, Georgiosen
dc.creatorMemmos, Dimitriosen
dc.date.accessioned2019-11-04T12:52:11Z
dc.date.available2019-11-04T12:52:11Z
dc.date.issued2014
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53178
dc.source.urihttps://nls.ldls.org.uk/welcome.html?lsidyv8d3278eb
dc.titleImpact of inflammation on anti‐oxidative effects of vitamin E‐coated membrane dialyzer in patients on chronic hemodialysisen
dc.typeinfo:eu-repo/semantics/article
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Βιολογικών Επιστημών / Department of Biological Sciences
dc.type.uhtypeArticleen
dc.description.notes<p>ID: 729en
dc.description.notesIn: HEMODIALYSIS INTERNATIONAL volume 18 issue 4 page 751.en
dc.description.notesSummary: Abstract Hemodialysis (HD) with the use of vitamin E‐coated membrane (VEM) dialyzers is shown to exert anti‐inflammatory and antioxidative effects in patients with end‐stage renal disease on HD. However, the association of baseline inflammatory status with the antioxidative effects of VEM has not been investigated thus far. Thirty‐five stable end‐stage renal disease patients treated with VEM for 6 months were enrolled in the present prospective, observational cohort study. For the previous 3 months minimum, 17 (48%) patients were dialyzed with a cellulose, eight (23%) patients with a hemophane, and 10 (29%) patients with a polysulfone 1.2 to 1.5 m2 hollow fiber dialyzer. The effects of treatment on oxidized low‐density lipoprotein (oxLDL) were stratified according to half percentiles of baseline serum logC‐reactive protein and interleukin‐6, and the association between treatment goal, arbitrarily defined as a minimum 30% decrease in baseline oxLDL, was assessed with the use of logistic regression analysis. The higher C‐react</p>en
dc.contributor.orcidKirmizis, Dimitrios [0000-0002-5093-1570]


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