Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/116825
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dc.contributorSchool of Optometry-
dc.contributorResearch Centre for SHARP Vision-
dc.creatorYusufu, M-
dc.creatorKang, M-
dc.creatorDayimu, A-
dc.creatorShi, D-
dc.creatorZhu, LZ-
dc.creatorChen, R-
dc.creatorVingrys, AJ-
dc.creatorShang, X-
dc.creatorHe, M-
dc.creatorZhang, L-
dc.date.accessioned2026-01-21T03:53:00Z-
dc.date.available2026-01-21T03:53:00Z-
dc.identifier.urihttp://hdl.handle.net/10397/116825-
dc.language.isoenen_US
dc.publisherAssociation for Research in Vision and Ophthalmologyen_US
dc.rightsCopyright 2025 The Authorsen_US
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Mayinuer Yusufu, Mengtian Kang, Alimu Dayimu, Danli Shi, Lisa Zhuoting Zhu, Ruiye Chen, Algis J. Vingrys, Xianwen Shang, Mingguang He, Lei Zhang; Photoreceptor Layer Thinning as Biomarker for Circulatory Premature Mortality: UK Biobank Cohort Study. Trans. Vis. Sci. Tech. 2025;14(8):10 is available at https://doi.org/10.1167/tvst.14.8.10.en_US
dc.subjectAll-cause mortalityen_US
dc.subjectCirculatory mortalityen_US
dc.subjectCohort studyen_US
dc.subjectOptical coherence tomographyen_US
dc.subjectPremature mortalityen_US
dc.titlePhotoreceptor layer thinning as biomarker for circulatory premature mortality : UK biobank cohort studyen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume14-
dc.identifier.issue8-
dc.identifier.doi10.1167/tvst.14.8.10-
dcterms.abstractPurpose: To explore associations between optical coherence tomography (OCT) parameters and mortality risk.-
dcterms.abstractMethods: This study used data from the UK Biobank participants with eligible OCT data. Feature selection was conducted with the least absolute shrinkage and selection operator. Selected parameters were fitted into Cox regression, with the full model adjusting for demographic, socioeconomic, lifestyle, and genetic factors.-
dcterms.abstractResults: During a median follow-up duration of 10.6 years, 3174 were deceased. After matching the deceased and surviving participants (1:3) by age and gender, 12,696 were included. Ten out of 18 parameters showed significant associations with all-cause mortality. Each standard deviation increase in optic disc diameter parameters (hazard ratios [HRs] ranging from 1.042 to 1.052), thinning of ganglion cell-inner plexiform layer (HR = 0.958, 0.920–0.998), thinning of the photoreceptor layer and its sublayers (HRs = 0.937–0.960) were significant biomarkers of all-cause mortality. Cause-specific analyses by mortality age revealed that thinner photoreceptor layer and sublayers were significantly associated with circulatory premature mortality (HRs = 0.856–0.915).-
dcterms.abstractConclusions: Enlarging disc diameter, thinning of ganglion cell-inner plexiform layer, and thinning of photoreceptor layers are associated with all-cause mortality, with photoreceptor thinning especially linked to premature circulatory mortality.-
dcterms.abstractTranslational Relevance: These findings suggest that specific OCT parameters could serve as noninvasive biomarkers for mortality risk assessment, potentially enhancing early identification of individuals at higher risk of premature death, particularly from circulatory diseases.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTranslational vision science & technology, Aug. 2025, v. 14, no. 8, 10-
dcterms.isPartOfTranslational vision science & technology-
dcterms.issued2025-08-
dc.identifier.scopus2-s2.0-105013075113-
dc.identifier.pmid40762537-
dc.identifier.eissn2164-2591-
dc.identifier.artn10-
dc.description.validate202601 bcch-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Centre for Eye Research Australia receives Operational Infrastructure Support from the Victorian State Government. Supported by the National Key R&D Program of China (022YFC2505100, 2022YFC2304900); Outstanding Young Scholars Support Program (3111500001); Xi'anJiaotong University Basic Research and Profession Grant (xtr022019003, xzy032020032) and Xi'an Jiaotong University Young Scholar Support Grant (YX6J004). M.Y. is supported by the Melbourne Research Scholarship established by the University of Melbourne. The funding source had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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