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BONEcheck: A digital tool for personalized bone health assessment

OBJECTIVES: Osteoporotic fracture is a significant public health burden associated with increased mortality risk and substantial healthcare costs. Accurate and early identification of high-risk individuals and mitigation of their risks is a core part of the treatment and prevention of fractures. Her...

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Autores principales: Nguyen, Dinh Tan, Ho-Le, Thao P., Pham, Liem, Ho-Van, Vinh P., Hoang, Tien Dat, Tran, Thach S., Frost, Steve, Nguyen, Tuan V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Osteoporosis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627863/
https://www.ncbi.nlm.nih.gov/pubmed/37941533
http://dx.doi.org/10.1016/j.afos.2023.08.002
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author Nguyen, Dinh Tan
Ho-Le, Thao P.
Pham, Liem
Ho-Van, Vinh P.
Hoang, Tien Dat
Tran, Thach S.
Frost, Steve
Nguyen, Tuan V.
author_facet Nguyen, Dinh Tan
Ho-Le, Thao P.
Pham, Liem
Ho-Van, Vinh P.
Hoang, Tien Dat
Tran, Thach S.
Frost, Steve
Nguyen, Tuan V.
author_sort Nguyen, Dinh Tan
collection PubMed
description OBJECTIVES: Osteoporotic fracture is a significant public health burden associated with increased mortality risk and substantial healthcare costs. Accurate and early identification of high-risk individuals and mitigation of their risks is a core part of the treatment and prevention of fractures. Here we introduce a digital tool called 'BONEcheck' for personalized assessment of bone health. METHODS: The development of BONEcheck primarily utilized data from the prospective population-based Dubbo Osteoporosis Epidemiology Study and the Danish Nationwide Registry. BONEcheck has 3 modules: input data, risk estimates, and risk context. Input variables include age, gender, prior fracture, fall incidence, bone mineral density (BMD), comorbidities, and genetic variants associated with BMD. RESULTS: Based on the input variables, BONEcheck estimates the probability of any fragility fracture and hip fracture within 5 years, subsequent fracture risk, skeletal age, and time to reach osteoporosis. The probability of fracture is shown in both numeric and human icon array formats. The risk is also contextualized within the framework of treatment and management options on Australian guidelines, with consideration given to the potential fracture risk reduction and survival benefits. Skeletal age was estimated as the sum of chronological age and years of life lost due to a fracture or exposure to risk factors that elevate mortality risk. CONCLUSIONS: BONEcheck is an innovative tool that empowers doctors and patients to engage in well-informed discussions and make decisions based on the patient's risk profile. Public access to BONEcheck is available via https://bonecheck.org and in Apple Store (iOS) and Google Play (Android).
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spelling pubmed-106278632023-11-08 BONEcheck: A digital tool for personalized bone health assessment Nguyen, Dinh Tan Ho-Le, Thao P. Pham, Liem Ho-Van, Vinh P. Hoang, Tien Dat Tran, Thach S. Frost, Steve Nguyen, Tuan V. Osteoporos Sarcopenia Original Article OBJECTIVES: Osteoporotic fracture is a significant public health burden associated with increased mortality risk and substantial healthcare costs. Accurate and early identification of high-risk individuals and mitigation of their risks is a core part of the treatment and prevention of fractures. Here we introduce a digital tool called 'BONEcheck' for personalized assessment of bone health. METHODS: The development of BONEcheck primarily utilized data from the prospective population-based Dubbo Osteoporosis Epidemiology Study and the Danish Nationwide Registry. BONEcheck has 3 modules: input data, risk estimates, and risk context. Input variables include age, gender, prior fracture, fall incidence, bone mineral density (BMD), comorbidities, and genetic variants associated with BMD. RESULTS: Based on the input variables, BONEcheck estimates the probability of any fragility fracture and hip fracture within 5 years, subsequent fracture risk, skeletal age, and time to reach osteoporosis. The probability of fracture is shown in both numeric and human icon array formats. The risk is also contextualized within the framework of treatment and management options on Australian guidelines, with consideration given to the potential fracture risk reduction and survival benefits. Skeletal age was estimated as the sum of chronological age and years of life lost due to a fracture or exposure to risk factors that elevate mortality risk. CONCLUSIONS: BONEcheck is an innovative tool that empowers doctors and patients to engage in well-informed discussions and make decisions based on the patient's risk profile. Public access to BONEcheck is available via https://bonecheck.org and in Apple Store (iOS) and Google Play (Android). Korean Society of Osteoporosis 2023-09 2023-09-19 /pmc/articles/PMC10627863/ /pubmed/37941533 http://dx.doi.org/10.1016/j.afos.2023.08.002 Text en © 2023 The Korean Society of Osteoporosis. Publishing services by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Nguyen, Dinh Tan
Ho-Le, Thao P.
Pham, Liem
Ho-Van, Vinh P.
Hoang, Tien Dat
Tran, Thach S.
Frost, Steve
Nguyen, Tuan V.
BONEcheck: A digital tool for personalized bone health assessment
title BONEcheck: A digital tool for personalized bone health assessment
title_full BONEcheck: A digital tool for personalized bone health assessment
title_fullStr BONEcheck: A digital tool for personalized bone health assessment
title_full_unstemmed BONEcheck: A digital tool for personalized bone health assessment
title_short BONEcheck: A digital tool for personalized bone health assessment
title_sort bonecheck: a digital tool for personalized bone health assessment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627863/
https://www.ncbi.nlm.nih.gov/pubmed/37941533
http://dx.doi.org/10.1016/j.afos.2023.08.002
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