Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Ha Young | - |
dc.contributor.author | Jang, Eun Jin | - |
dc.contributor.author | Park, ByeongJu | - |
dc.contributor.author | Kim, Tae-Young | - |
dc.contributor.author | Shin, Soon-Ae | - |
dc.contributor.author | Ha, Yong-Chan | - |
dc.contributor.author | Jang, Sunmee | - |
dc.date.available | 2020-02-28T01:42:55Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2016-07-11 | - |
dc.identifier.issn | 1932-6203 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/8106 | - |
dc.description.abstract | Background Asian-specific prediction models for estimating individual risk of osteoporotic fractures are rare. We developed a Korean fracture risk prediction model using clinical risk factors and assessed validity of the final model. Methods A total of 718,306 Korean men and women aged 50-90 years were followed for 7 years in a national system-based cohort study. In total, 50% of the subjects were assigned randomly to the development dataset and 50% were assigned to the validation dataset. Clinical risk factors for osteoporotic fracture were assessed at the biennial health check. Data on osteoporotic fractures during the follow-up period were identified by ICD-10 codes and the nationwide database of the National Health Insurance Service (NHIS). Results During the follow-up period, 19,840 osteoporotic fractures were reported (4,889 in men and 14,951 in women) in the development dataset. The assessment tool called the Korean Fracture Risk Score (KFRS) is comprised of a set of nine variables, including age, body mass index, recent fragility fracture, current smoking, high alcohol intake, lack of regular exercise, recent use of oral glucocorticoid, rheumatoid arthritis, and other causes of secondary osteoporosis. The KFRS predicted osteoporotic fractures over the 7 years. This score was validated using an independent dataset. A close relationship with overall fracture rate was observed when we compared the mean predicted scores after applying the KFRS with the observed risks after 7 years within each 10th of predicted risk. Conclusion We developed a Korean specific prediction model for osteoporotic fractures. The KFRS was able to predict risk of fracture in the primary population without bone mineral density testing and is therefore suitable for use in both clinical setting and self-assessment. The website is available at http://www.nhis.or.kr. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | PUBLIC LIBRARY SCIENCE | - |
dc.relation.isPartOf | PLOS ONE | - |
dc.subject | POSTMENOPAUSAL WOMEN | - |
dc.subject | HIP-FRACTURES | - |
dc.subject | OLDER WOMEN | - |
dc.subject | METAANALYSIS | - |
dc.subject | BMD | - |
dc.subject | MEN | - |
dc.subject | QFRACTURESCORES | - |
dc.subject | PERFORMANCE | - |
dc.subject | COHORT | - |
dc.subject | FRAX | - |
dc.title | Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000379508100012 | - |
dc.identifier.doi | 10.1371/journal.pone.0158918 | - |
dc.identifier.bibliographicCitation | PLOS ONE, v.11, no.7 | - |
dc.identifier.scopusid | 2-s2.0-84978879537 | - |
dc.citation.title | PLOS ONE | - |
dc.citation.volume | 11 | - |
dc.citation.number | 7 | - |
dc.contributor.affiliatedAuthor | Jang, Sunmee | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | POSTMENOPAUSAL WOMEN | - |
dc.subject.keywordPlus | HIP-FRACTURES | - |
dc.subject.keywordPlus | OLDER WOMEN | - |
dc.subject.keywordPlus | METAANALYSIS | - |
dc.subject.keywordPlus | BMD | - |
dc.subject.keywordPlus | MEN | - |
dc.subject.keywordPlus | QFRACTURESCORES | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordPlus | COHORT | - |
dc.subject.keywordPlus | FRAX | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.