Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
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
_version_ 1783625622569877504
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
work_keys_str_mv AT eerjiang theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT wangtingyan theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT yanglan theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT dempseymary theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT brennanattracta theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT yuming theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT chanwingp theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT whelanbryan theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT silkecarmel theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT osullivanmiriam theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT rooneybridie theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT mcpartlandaoife theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT omalleygrainne theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT careyjohnj theirishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT eerjiang irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT wangtingyan irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT yanglan irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT dempseymary irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT brennanattracta irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT yuming irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT chanwingp irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT whelanbryan irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT silkecarmel irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT osullivanmiriam irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT rooneybridie irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT mcpartlandaoife irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT omalleygrainne irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject
AT careyjohnj irishdualenergyxrayabsorptiometrydxahealthinformaticspredictionhipforosteoporosisproject