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The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project
PURPOSE: The purpose of the Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project is to create a large retrospective cohort of adults in Ireland to examine the validity of DXA diagnostic classification, risk assessment tools and management strategi...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751214/ https://www.ncbi.nlm.nih.gov/pubmed/33371026 http://dx.doi.org/10.1136/bmjopen-2020-040488 |
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author | E, Erjiang Wang, Tingyan Yang, Lan Dempsey, Mary Brennan, Attracta Yu, Ming Chan, Wing P. Whelan, Bryan Silke, Carmel O'Sullivan, Miriam Rooney, Bridie McPartland, Aoife O’Malley, Gráinne Carey, John J. |
author_facet | E, Erjiang Wang, Tingyan Yang, Lan Dempsey, Mary Brennan, Attracta Yu, Ming Chan, Wing P. Whelan, Bryan Silke, Carmel O'Sullivan, Miriam Rooney, Bridie McPartland, Aoife O’Malley, Gráinne Carey, John J. |
author_sort | E, Erjiang |
collection | PubMed |
description | PURPOSE: The purpose of the Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project is to create a large retrospective cohort of adults in Ireland to examine the validity of DXA diagnostic classification, risk assessment tools and management strategies for osteoporosis and osteoporotic fractures for our population. PARTICIPANTS: The cohort includes 36 590 men and women aged 4–104 years who had a DXA scan between January 2000 and November 2018 at one of 3 centres in the West of Ireland. FINDINGS TO DATE: 36 590 patients had at least 1 DXA scan, 6868 (18.77%) had 2 scans and 3823 (10.45%) had 3 or more scans. There are 364 unique medical disorders, 186 unique medications and 46 DXA variables identified and available for analysis. The cohort includes 10 349 (28.3%) individuals who underwent a screening DXA scan without a clear fracture risk factor (other than age), and 9947 (27.2%) with prevalent fractures at 1 of 44 skeletal sites. FUTURE PLANS: The Irish DXA HIP Project plans to assess current diagnostic classification and risk prediction algorithms for osteoporosis and fractures, identify the risk predictors for osteoporosis and develop novel, accurate and personalised risk prediction tools, by using the large multicentre longitudinal follow-up cohort. Furthermore, the dataset may be used to assess, and possibly support, multimorbidity management due to the large number of variables collected in this project. |
format | Online Article Text |
id | pubmed-7751214 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-77512142020-12-29 The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project E, Erjiang Wang, Tingyan Yang, Lan Dempsey, Mary Brennan, Attracta Yu, Ming Chan, Wing P. Whelan, Bryan Silke, Carmel O'Sullivan, Miriam Rooney, Bridie McPartland, Aoife O’Malley, Gráinne Carey, John J. BMJ Open Rheumatology PURPOSE: The purpose of the Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project is to create a large retrospective cohort of adults in Ireland to examine the validity of DXA diagnostic classification, risk assessment tools and management strategies for osteoporosis and osteoporotic fractures for our population. PARTICIPANTS: The cohort includes 36 590 men and women aged 4–104 years who had a DXA scan between January 2000 and November 2018 at one of 3 centres in the West of Ireland. FINDINGS TO DATE: 36 590 patients had at least 1 DXA scan, 6868 (18.77%) had 2 scans and 3823 (10.45%) had 3 or more scans. There are 364 unique medical disorders, 186 unique medications and 46 DXA variables identified and available for analysis. The cohort includes 10 349 (28.3%) individuals who underwent a screening DXA scan without a clear fracture risk factor (other than age), and 9947 (27.2%) with prevalent fractures at 1 of 44 skeletal sites. FUTURE PLANS: The Irish DXA HIP Project plans to assess current diagnostic classification and risk prediction algorithms for osteoporosis and fractures, identify the risk predictors for osteoporosis and develop novel, accurate and personalised risk prediction tools, by using the large multicentre longitudinal follow-up cohort. Furthermore, the dataset may be used to assess, and possibly support, multimorbidity management due to the large number of variables collected in this project. BMJ Publishing Group 2020-12-18 /pmc/articles/PMC7751214/ /pubmed/33371026 http://dx.doi.org/10.1136/bmjopen-2020-040488 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Rheumatology E, Erjiang Wang, Tingyan Yang, Lan Dempsey, Mary Brennan, Attracta Yu, Ming Chan, Wing P. Whelan, Bryan Silke, Carmel O'Sullivan, Miriam Rooney, Bridie McPartland, Aoife O’Malley, Gráinne Carey, John J. The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project |
title | The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project |
title_full | The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project |
title_fullStr | The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project |
title_full_unstemmed | The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project |
title_short | The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project |
title_sort | irish dual-energy x-ray absorptiometry (dxa) health informatics prediction (hip) for osteoporosis project |
topic | Rheumatology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7751214/ https://www.ncbi.nlm.nih.gov/pubmed/33371026 http://dx.doi.org/10.1136/bmjopen-2020-040488 |
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