Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/9112
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAlkis, O.-
dc.contributor.authorZümrütbaş, Ali Ersin-
dc.contributor.authorToktas, C.-
dc.contributor.authorAybek, Hülya-
dc.contributor.authorAybek, Zafer-
dc.date.accessioned2019-08-16T12:58:23Z-
dc.date.available2019-08-16T12:58:23Z-
dc.date.issued2017-
dc.identifier.issn0733-2467-
dc.identifier.urihttps://hdl.handle.net/11499/9112-
dc.identifier.urihttps://doi.org/10.1002/nau.22939-
dc.description.abstractAims: The main objective of this study was to define urinary biomarkers that can predict the severity of overactive bladder and detect patients who would benefit most from treatment. Methods: Patients with an OAB diagnosis and healthy controls were included in the study. A bladder diary and a validated OAB questionnaire were given to all patients. In the OAB group, solifenacin 5 mg daily was given for 1 month. Urine samples were taken before the treatment and after the first month of the treatment in both groups and urinary BDNF, NGF, GAG, and MCP-1 levels were measured. Results: A total of 45 OAB patients and 45 healthy age-matched controls were included. BDNF/Cre, NGF/Cre, MCP-1/Cre, and GAG/Cre levels were significantly higher in the OAB group. The levels of these biomarkers significantly decreased after 1 month of solifenacin treatment. After treatment, 66.7% of patients OAB symptoms were relieved and 33.3% did not respond to the treatment. Although basal biomarker levels did not differ between responder and non-responder groups, the ratio of decrease in biomarker levels was significantly higher in treatment-sensitive patients. Postmenopausal women were more resistant to treatment when compared with the premenopausal group. Conclusions: Urinary biomarkers have a role in the pathophysiology of OAB however they did not predict the patients who would benefit from the treatment and in whom antimuscarinics would be useless. Future studies with higher numbers of patients and different OAB subgroups are needed to investigate the exact role of these (and other) biomarkers. Neurourol. Urodynam. 36:390–393, 2017. © 2015 Wiley Periodicals, Inc. © 2015 Wiley Periodicals, Inc.en_US
dc.language.isoenen_US
dc.publisherJohn Wiley and Sons Inc.en_US
dc.relation.ispartofNeurourology and Urodynamicsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectbiomarkersen_US
dc.subjectbrain derived neurotrophic factoren_US
dc.subjectglycosaminoglycansen_US
dc.subjectmonocyte chemoattractant protein 1en_US
dc.subjectnerve growth factoren_US
dc.subjectoveractive bladderen_US
dc.subjectcre recombinaseen_US
dc.subjectGag proteinen_US
dc.subjectmonocyte chemotactic protein 1en_US
dc.subjectsolifenacinen_US
dc.subjectbiological markeren_US
dc.subjectCCL2 protein, humanen_US
dc.subjecturinary tract agenten_US
dc.subjectadulten_US
dc.subjectArticleen_US
dc.subjectclinical articleen_US
dc.subjectcontrolled studyen_US
dc.subjectdisease markeren_US
dc.subjectdisease severityen_US
dc.subjectfemaleen_US
dc.subjecthumanen_US
dc.subjectmaleen_US
dc.subjectoutcome assessmenten_US
dc.subjectpostmenopauseen_US
dc.subjectpredictionen_US
dc.subjectpremenopauseen_US
dc.subjectquestionnaireen_US
dc.subjectsymptomen_US
dc.subjecttreatment durationen_US
dc.subjecttreatment responseen_US
dc.subjecturine samplingen_US
dc.subjectvalidation studyen_US
dc.subjectageden_US
dc.subjectmiddle ageden_US
dc.subjecttreatment failureen_US
dc.subjecttreatment outcomeen_US
dc.subjecturineen_US
dc.subjectAdulten_US
dc.subjectAgeden_US
dc.subjectBiomarkersen_US
dc.subjectBrain-Derived Neurotrophic Factoren_US
dc.subjectChemokine CCL2en_US
dc.subjectFemaleen_US
dc.subjectHumansen_US
dc.subjectMaleen_US
dc.subjectMiddle Ageden_US
dc.subjectNerve Growth Factoren_US
dc.subjectSolifenacin Succinateen_US
dc.subjectTreatment Failureen_US
dc.subjectTreatment Outcomeen_US
dc.subjectUrinary Bladder, Overactiveen_US
dc.subjectUrological Agentsen_US
dc.titleThe use of biomarkers in the diagnosis and treatment of overactive bladder: Can we predict the patients who will be resistant to treatment?en_US
dc.typeArticleen_US
dc.identifier.volume36en_US
dc.identifier.issue2en_US
dc.identifier.startpage390-
dc.identifier.startpage390en_US
dc.identifier.endpage393en_US
dc.authorid0000-0002-1795-9678-
dc.authorid0000-0002-0635-4251-
dc.identifier.doi10.1002/nau.22939-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.pmid26661444en_US
dc.identifier.scopus2-s2.0-84953897806en_US
dc.identifier.wosWOS:000394667800027en_US
dc.identifier.scopusqualityQ1-
dc.ownerPamukkale University-
item.openairetypeArticle-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.cerifentitytypePublications-
crisitem.author.dept14.01. Surgical Medicine-
crisitem.author.dept14.03. Basic Medical Sciences-
crisitem.author.dept14.01. Surgical Medicine-
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Tıp Fakültesi Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

28
checked on Nov 23, 2024

WEB OF SCIENCETM
Citations

28
checked on Nov 24, 2024

Page view(s)

44
checked on Aug 24, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.