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dc.contributor.author배상철-
dc.date.accessioned2021-03-29T07:00:48Z-
dc.date.available2021-03-29T07:00:48Z-
dc.date.issued2020-01-
dc.identifier.citationINTERNATIONAL JOURNAL OF RHEUMATIC DISEASES, v. 23, no. 1, page. 84-91en_US
dc.identifier.issn1756-1841-
dc.identifier.issn1756-185X-
dc.identifier.urihttps://onlinelibrary.wiley.com/doi/full/10.1111/1756-185X.13745-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/160933-
dc.description.abstractAim Systemic lupus erythematosus (SLE) causes irreversible damage to organ systems. Recently, evidence has been obtained for subphenotypes of SLE. This study aimed to identify damage clusters and compare the associated clinical manifestations, SLE disease activity, mortality, and genetic risk scores (GRS). Methods The study was conducted on the Hanyang BAE lupus cohort. Patients with disease duration k-means cluster analysis. Results Among the 1130 analyzed patients, musculoskeletal damage was most prevalent (20.2%), followed by ocular (11.4%), renal (10.5%), and neuropsychiatric damage (10.2%). Three significantly different damage clusters were identified. Patients in cluster 1 (n = 824) showed the least damage. Cluster 2 (n = 195) was characterized by frequent renal (55.4%) and ocular (58.0%) damage, and cluster 3 (n = 111) was dominated by neuropsychiatric (100%) and musculoskeletal damage (35.1%). Cluster 2 had the highest adjusted mean AMS (adjusted mean SLE Disease Activity Index score; mean +/- SD: 5.4 +/- 2.9), while cluster 3 had the highest mortality (14.4%). Weighted GRS did not differ significantly between the clusters. Conclusion Patients in prevalent renal and ocular damage cluster had the highest AMS scores, while the cluster with frequent neuropsychiatric damage had the highest mortality.en_US
dc.description.sponsorshipBio & Medical Technology Development Program of the NRF, Grant/Award Number: NRF-2017M3A9B4050335; Korean government, MSIT, Grant/Award Number: NRF-2017M3A9B4050335en_US
dc.language.isoenen_US
dc.publisherWILEYen_US
dc.subjectcluster analysisen_US
dc.subjectgenetic risk scoreen_US
dc.subjectmortalityen_US
dc.subjectorgan damageen_US
dc.subjectSLEDAIen_US
dc.subjectsystemic lupus erythematosusen_US
dc.titleIdentifying damage clusters in patients with systemic lupus erythematosusen_US
dc.typeArticleen_US
dc.relation.no1-
dc.relation.volume23-
dc.identifier.doi10.1111/1756-185X.13745-
dc.relation.page84-91-
dc.relation.journalINTERNATIONAL JOURNAL OF RHEUMATIC DISEASES-
dc.contributor.googleauthorAhn, Ga Young-
dc.contributor.googleauthorLee, Jiyoung-
dc.contributor.googleauthorWon, Soyoung-
dc.contributor.googleauthorHa, Eunji-
dc.contributor.googleauthorKim, Hyoungyoung-
dc.contributor.googleauthorNam, Bora-
dc.contributor.googleauthorKim, Ji Soong-
dc.contributor.googleauthorKang, Juyeon-
dc.contributor.googleauthorKim, Jae‐Hoon-
dc.contributor.googleauthorBae, Sang‐Cheol-
dc.relation.code2020050328-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF MEDICINE[S]-
dc.sector.departmentDEPARTMENT OF MEDICINE-
dc.identifier.pidscbae-
dc.identifier.orcidhttps://orcid.org/0000-0003-4658-1093-
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COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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