Detailed Information

Cited 0 time in webofscience Cited 2 time in scopus
Metadata Downloads

Dominant predictors of early post-transplant outcomes based on the Korean Organ Transplantation Registry (KOTRY)

Full metadata record
DC Field Value Language
dc.contributor.authorJeong, Jong Cheol-
dc.contributor.authorKoo, Tai Yeon-
dc.contributor.authorRo, Han-
dc.contributor.authorLee, Dong Ryeol-
dc.contributor.authorLee, Dong Won-
dc.contributor.authorOh, Jieun-
dc.contributor.authorKim, Jayoun-
dc.contributor.authorChae, Dong-Wan-
dc.contributor.authorKim, Young Hoon-
dc.contributor.authorHuh, Kyu Ha-
dc.contributor.authorPark, Jae Berm-
dc.contributor.authorKim, Yeong Hoon-
dc.contributor.authorHan, Seungyeup-
dc.contributor.authorChoi, Soo Jin Na-
dc.contributor.authorLee, Sik-
dc.contributor.authorMin, Sang-Il-
dc.contributor.authorHa, Jongwon-
dc.contributor.authorKim, Myoung Soo-
dc.contributor.authorAhn, Curie-
dc.contributor.authorYang, Jaeseok-
dc.date.accessioned2022-07-17T03:40:16Z-
dc.date.available2022-07-17T03:40:16Z-
dc.date.created2022-07-11-
dc.date.issued2022-05-
dc.identifier.issn2045-2322-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/84975-
dc.description.abstractData for Asian kidney transplants are very limited. We investigated the relative importance of prognostic markers in Asian kidney transplants by using Korean Organ Transplantation Registry (KOTRY) cohort. Prediction models were developed by data-driven variable selection approach. The relative importance of the selected predictors was measured by dominance analysis. A total of 4854 kidney transplant donor-recipient pairs were analyzed. Overall patient survival rates were 99.8%, 98.8%, and 91.8% at 1, 3, and 5 years, respectively. Death-censored graft survival rates were 98.4%, 97.0%, and 95.8% at 1, 3, and 5 years. Biopsy-proven acute rejection free survival rates were 90.1%, 87.4%, and 87.03% at 1, 3, and 5 years. The top 3 dominant predictors for recipient mortality within 1 year were recipient cardiovascular disease history, deceased donor, and recipient age. The dominant predictors for death-censored graft loss within 1 year were acute rejection, deceased donor, and desensitization. The dominant predictors to acute rejection within 1 year were donor age, HLA mismatched numbers, and desensitization. We presented clinical characteristics of patients enrolled in KOTRY during the last 5 years and investigated dominant predictors for early post-transplant outcomes, which would be useful for clinical decision-making based on quantitative measures.-
dc.language영어-
dc.language.isoen-
dc.publisherNATURE PORTFOLIO-
dc.relation.isPartOfSCIENTIFIC REPORTS-
dc.titleDominant predictors of early post-transplant outcomes based on the Korean Organ Transplantation Registry (KOTRY)-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000799975800066-
dc.identifier.doi10.1038/s41598-022-12302-5-
dc.identifier.bibliographicCitationSCIENTIFIC REPORTS, v.12, no.1-
dc.description.isOpenAccessY-
dc.identifier.scopusid2-s2.0-85131106402-
dc.citation.titleSCIENTIFIC REPORTS-
dc.citation.volume12-
dc.citation.number1-
dc.contributor.affiliatedAuthorRo, Han-
dc.type.docTypeArticle-
dc.subject.keywordPlusKIDNEY-TRANSPLANTATION-
dc.subject.keywordPlusVARIABLE SELECTION-
dc.subject.keywordPlusIMMUNE-RESPONSE-
dc.subject.keywordPlusSCORING SYSTEM-
dc.subject.keywordPlusVALIDATION-
dc.subject.keywordPlusALLOCATION-
dc.subject.keywordPlusRECIPIENTS-
dc.subject.keywordPlusSURVIVAL-
dc.subject.keywordPlusRISK-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
의과대학 > 의학과 > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Ro, Han photo

Ro, Han
College of Medicine (Department of Medicine)
Read more

Altmetrics

Total Views & Downloads

BROWSE