Cargando…
Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service
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...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939957/ https://www.ncbi.nlm.nih.gov/pubmed/27399597 http://dx.doi.org/10.1371/journal.pone.0158918 |
_version_ | 1782442078586798080 |
---|---|
author | Kim, Ha Young Jang, Eun Jin Park, ByeongJu Kim, Tae-Young Shin, Soon-Ae Ha, Yong-Chan Jang, Sunmee |
author_facet | Kim, Ha Young Jang, Eun Jin Park, ByeongJu Kim, Tae-Young Shin, Soon-Ae Ha, Yong-Chan Jang, Sunmee |
author_sort | Kim, Ha Young |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4939957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-49399572016-07-22 Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service Kim, Ha Young Jang, Eun Jin Park, ByeongJu Kim, Tae-Young Shin, Soon-Ae Ha, Yong-Chan Jang, Sunmee PLoS One Research Article 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. Public Library of Science 2016-07-11 /pmc/articles/PMC4939957/ /pubmed/27399597 http://dx.doi.org/10.1371/journal.pone.0158918 Text en © 2016 Kim et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kim, Ha Young Jang, Eun Jin Park, ByeongJu Kim, Tae-Young Shin, Soon-Ae Ha, Yong-Chan Jang, Sunmee Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service |
title | Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service |
title_full | Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service |
title_fullStr | Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service |
title_full_unstemmed | Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service |
title_short | Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service |
title_sort | development of a korean fracture risk score (kfrs) for predicting osteoporotic fracture risk: analysis of data from the korean national health insurance service |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939957/ https://www.ncbi.nlm.nih.gov/pubmed/27399597 http://dx.doi.org/10.1371/journal.pone.0158918 |
work_keys_str_mv | AT kimhayoung developmentofakoreanfractureriskscorekfrsforpredictingosteoporoticfractureriskanalysisofdatafromthekoreannationalhealthinsuranceservice AT jangeunjin developmentofakoreanfractureriskscorekfrsforpredictingosteoporoticfractureriskanalysisofdatafromthekoreannationalhealthinsuranceservice AT parkbyeongju developmentofakoreanfractureriskscorekfrsforpredictingosteoporoticfractureriskanalysisofdatafromthekoreannationalhealthinsuranceservice AT kimtaeyoung developmentofakoreanfractureriskscorekfrsforpredictingosteoporoticfractureriskanalysisofdatafromthekoreannationalhealthinsuranceservice AT shinsoonae developmentofakoreanfractureriskscorekfrsforpredictingosteoporoticfractureriskanalysisofdatafromthekoreannationalhealthinsuranceservice AT hayongchan developmentofakoreanfractureriskscorekfrsforpredictingosteoporoticfractureriskanalysisofdatafromthekoreannationalhealthinsuranceservice AT jangsunmee developmentofakoreanfractureriskscorekfrsforpredictingosteoporoticfractureriskanalysisofdatafromthekoreannationalhealthinsuranceservice |