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Application of multimarker approach to risk stratification among patients on dialysis

dc.contributor.advisorCvetković, Tatjana
dc.contributor.otherPavlović, Dušica
dc.contributor.otherMilošević, Zoran
dc.contributor.otherVeličković-Radovanović, Radmila
dc.contributor.otherBogdanović, Dragan
dc.creatorIgnjatović, Aleksandra
dc.date.accessioned2016-01-05T13:22:46Z
dc.date.available2016-01-05T13:22:46Z
dc.date.available2020-07-03T16:08:48Z
dc.date.issued2013
dc.identifier.urihttps://nardus.mpn.gov.rs/handle/123456789/3918
dc.identifier.urihttp://eteze.ni.ac.rs/application/showtheses?thesesId=1261
dc.identifier.urihttps://fedorani.ni.ac.rs/fedora/get/o:846/bdef:Content/download
dc.identifier.urihttp://vbs.rs/scripts/cobiss?command=DISPLAY&base=70052&RID=1024665069
dc.description.abstractIntroduction:The mortality rate of hemodialysis patients is very high, 10-20 times higer than in general population. Cardiovascular disease is reported to be major cause of death. By using this approach many different pathophysiological components will be covered. For validation one marker or combination of few markers as risk factors is needed to perform several statistical tests. Aim:The main goal of this thesis is to compare predictive values of ADMA as marker of endothelial dysfunction, CRP and SAA, as markers of inflammation and albumin as marker of malnutrition among patients on dyalisis,and in addition to create a common predictive value for patients with several risk factors. Methods:In this 3-years follow-up stady, plasma concentrations of ADMA and SDMA was measured by HPLC. CRP was measured using immunoturbidimetricassays; SAA was measured using immunonephalometric assays. Albumin level was obtained using standard clinical laboratory methods. Importance: The use of multimarker approach in evaluating markers of endothelial dysfunction, inflammation and malnutrion gives a new data related to risk stratification among patients on dialysis. This research shows that all markers are independent proctors of all-cause and cardiovascular cause of death. It is demonstrated that combined use of biomarkers increases the predictive power of prognostic model, whichwould improve risk stratification among patients on dyalisis.Best combination of markers for risk stratification is ADMA and albumin. Study of assessment of novel markers as risk factors contributes to better classification patients on dialysis in groups with different risk level. Therefore, management and treatment of patients on dialysis is adjusted by risk level.en
dc.formatapplication/pdf
dc.languagesr
dc.publisherУниверзитет у Нишу, Медицински факултетsr
dc.rightsopenAccessen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceУниверзитет у Нишуsr
dc.subjectBubrežne bolestisr
dc.titlePrimena multimarker pristupa u proceni rizika kod pacijenata na dijalizisr
dc.titleApplication of multimarker approach to risk stratification among patients on dialysisen
dc.typedoctoralThesisen
dc.rights.licenseBY-NC-ND
dcterms.abstractЦветковић, Татјана; Богдановић, Драган; Павловић, Душица; Милошевић, Зоран; Величковић-Радовановић, Радмила; Игњатовић, Aлександра; Примена мултимаркер приступа у процени ризика код пацијената на дијализи; Примена мултимаркер приступа у процени ризика код пацијената на дијализи;
dc.identifier.fulltexthttps://nardus.mpn.gov.rs/bitstream/id/53695/Disertacija.pdf
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/53695/Disertacija.pdf
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_nardus_3918


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