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dc.contributor.authorAkın, Mustafa Salih
dc.contributor.authorYeniova, Abdullah Özgür
dc.contributor.authorDemir, Osman
dc.date.accessioned2020-02-27T07:51:40Z
dc.date.available2020-02-27T07:51:40Z
dc.date.issued2019en_US
dc.identifier.citationAkın, M. S., Yeniova, A. Ö. ve Demir, O. (2019). Non-invasive prediction of fibrosis in chronic hepatitis B. Annals of Medical Research, 26(8), 1588-1593. http://doi.org/10.5455/annalsmedres.2019.05.256en_US
dc.identifier.issn2636-7688
dc.identifier.urihttp://doi.org/10.5455/annalsmedres.2019.05.256
dc.identifier.urihttps://hdl.handle.net/20.500.12511/4965
dc.description.abstractAim: To date, the main diagnostic tool for assessing the liver fibrosis stage has been liver biopsy. Despite the advantages in patient prognosis prediction and disease management, the application of liver biopsy is hampered by its limitations. The limitations of liver biopsy have led to a need for the development of a non- invasive scoring system that is simple to use, reliable, and cheap. The aim of this study was to evaluate the accuracy of APRI (AST to Platelet Ratio Index) and FIB-4 (Fibrosis-4) scores in the prediction of liver fibrosis in Chronic Hepatitis B patients. Material and Methods: A retrospective assessment was made of the electronic medical records to identify patients who underwent liver biopsy for evaluation of fibrosis related to CHB (Chronic Hepatitis B). A total of 352 patients were included in the study. Laboratory parameters that were measured within 7 days of the liver biopsy day were considered suitable for the calculation of the formulae. The APRI and FIB-4 scores was calculated. Liver biopsy reports, which were eligible for inclusion in the study, were assessed retrospectively. The fibrosis stage and histological acitvity index were used as previously described by Ishak. Analyses were performed using SPSS 22 (IBM SPSS Statistics 22, SPSS inc., an IBM Co., Somers, NY). Results: APRI was well correlated with fibrosis and HAI score (r=0.280, p<0.05; r=0.22, p<0.05) respectively. The FIB-4 correlation between fibrosis and HAI was significant (r=0.433, p<0.05; r=0.34, p<0.05) respectively. Conclusion: Inexpensive, non-invasive, and reliable fibrosis assessement models for CHC should be applied in clinical practice.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectChronic Hepatitis Ben_US
dc.subjectLiver Fibrosisen_US
dc.subjectAPRIen_US
dc.subjectFIB-4en_US
dc.titleNon-invasive prediction of fibrosis in chronic hepatitis Ben_US
dc.typearticleen_US
dc.relation.ispartofAnnals of Medical Researchen_US
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, İç Hastalıkları Ana Bilim Dalıen_US
dc.authorid0000-0002-1309-6588en_US
dc.identifier.volume26en_US
dc.identifier.issue8en_US
dc.identifier.startpage1588en_US
dc.identifier.endpage1593en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.5455/annalsmedres.2019.05.256en_US


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