Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/35190
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dc.contributor.authorZhou, Yilingen_UK
dc.contributor.authorHuang, Hongmeien_UK
dc.contributor.authorYan, Xueqinen_UK
dc.contributor.authorHapca, Simonaen_UK
dc.contributor.authorBell, Samiraen_UK
dc.contributor.authorQu, Furongen_UK
dc.contributor.authorLiu, Lien_UK
dc.contributor.authorChen, Xiangyangen_UK
dc.contributor.authorZhang, Shengzhaoen_UK
dc.contributor.authorShi, Qingyangen_UK
dc.contributor.authorZeng, Xiaoxien_UK
dc.contributor.authorWang, Miyeen_UK
dc.contributor.authorLi, Nanen_UK
dc.contributor.authorDu, Heyueen_UK
dc.contributor.authorMeng, Wentongen_UK
dc.date.accessioned2023-06-09T00:00:24Z-
dc.date.available2023-06-09T00:00:24Z-
dc.date.issued2022-11en_UK
dc.identifier.other6692en_UK
dc.identifier.urihttp://hdl.handle.net/1893/35190-
dc.description.abstractOur aim was to investigate the association of glycated haemoglobin A1c (HbA1c) variability score (HVS) with estimated glomerular filtration rate (eGFR) slope in Chinese adults living with type 2 diabetes. This cohort study included adults with type 2 diabetes attending outpatient clinics between 2011 and 2019 from a large electronic medical record-based database of diabetes in China (WECODe). We estimated the individual-level visit-to-visit HbA1c variability using HVS, a proportion of changes in HbA1c of ≥0.5% (5.5 mmol/mol). We estimated the odds of people experiencing a rapid eGFR annual decline using a logistic regression and differences across HVS categories in the mean eGFR slope using a mixed-effect model. The analysis involved 2397 individuals and a median follow-up of 4.7 years. Compared with people with HVS ≤ 20%, those with HVS of 60% to 80% had 11% higher odds of experiencing rapid eGFR annual decline, with an extra eGFR decline of 0.93 mL/min/1.73 m2 per year on average; those with HVS > 80% showed 26% higher odds of experiencing a rapid eGFR annual decline, with an extra decline of 1.83 mL/min/1.73 m2 per year on average. Chinese adults with type 2 diabetes and HVS > 60% could experience a more rapid eGFR decline.en_UK
dc.language.isoenen_UK
dc.publisherMDPI AGen_UK
dc.relationZhou Y, Huang H, Yan X, Hapca S, Bell S, Qu F, Liu L, Chen X, Zhang S, Shi Q, Zeng X, Wang M, Li N, Du H & Meng W (2022) Glycated Haemoglobin A1c Variability Score Elicits Kidney Function Decline in Chinese People Living with Type 2 Diabetes. <i>Journal of Clinical Medicine</i>, 11 (22), Art. No.: 6692. https://doi.org/10.3390/jcm11226692en_UK
dc.rightsCopyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectHbA1c variabilityen_UK
dc.subjecteGFR slopeen_UK
dc.subjecttype 2 diabetesen_UK
dc.subjectkidney function declineen_UK
dc.subjectelectronic medical recordsen_UK
dc.titleGlycated Haemoglobin A1c Variability Score Elicits Kidney Function Decline in Chinese People Living with Type 2 Diabetesen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.3390/jcm11226692en_UK
dc.identifier.pmid36431169en_UK
dc.citation.jtitleJournal of Clinical Medicineen_UK
dc.citation.issn2077-0383en_UK
dc.citation.volume11en_UK
dc.citation.issue22en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailsimona.hapca@stir.ac.uken_UK
dc.citation.date11/11/2022en_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.contributor.affiliationFirst People’s Hospital of Shuangliu Districten_UK
dc.contributor.affiliationSecond People's Hospital of Chengduen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Dundeeen_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.contributor.affiliationSecond People’s Hospital of Ya’an Cityen_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.contributor.affiliationSichuan Universityen_UK
dc.identifier.isiWOS:000887478200001en_UK
dc.identifier.scopusid2-s2.0-85142623211en_UK
dc.identifier.wtid1908820en_UK
dc.contributor.orcid0000-0003-3148-9657en_UK
dc.contributor.orcid0000-0001-9100-1575en_UK
dc.contributor.orcid0000-0002-8681-7403en_UK
dc.contributor.orcid0000-0001-9946-4291en_UK
dc.date.accepted2022-11-09en_UK
dcterms.dateAccepted2022-11-09en_UK
dc.date.filedepositdate2023-06-08en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorZhou, Yiling|en_UK
local.rioxx.authorHuang, Hongmei|en_UK
local.rioxx.authorYan, Xueqin|en_UK
local.rioxx.authorHapca, Simona|0000-0003-3148-9657en_UK
local.rioxx.authorBell, Samira|0000-0001-9100-1575en_UK
local.rioxx.authorQu, Furong|en_UK
local.rioxx.authorLiu, Li|en_UK
local.rioxx.authorChen, Xiangyang|en_UK
local.rioxx.authorZhang, Shengzhao|0000-0002-8681-7403en_UK
local.rioxx.authorShi, Qingyang|en_UK
local.rioxx.authorZeng, Xiaoxi|0000-0001-9946-4291en_UK
local.rioxx.authorWang, Miye|en_UK
local.rioxx.authorLi, Nan|en_UK
local.rioxx.authorDu, Heyue|en_UK
local.rioxx.authorMeng, Wentong|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2023-06-08en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2023-06-08|en_UK
local.rioxx.filenamejcm-11-06692.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2077-0383en_UK
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