Mathematical model of the bone biological age based on the bone mineral density and quality indicex and Ukrainian FRAX model

N. Grygorieva, H. Dubetska, N. Koshel, A. Pisaruk, I. Antoniuk-Shcheglova
{"title":"Mathematical model of the bone biological age based on the bone mineral density and quality indicex and Ukrainian FRAX model","authors":"N. Grygorieva, H. Dubetska, N. Koshel, A. Pisaruk, I. Antoniuk-Shcheglova","doi":"10.22141/pjs.12.1.2022.324","DOIUrl":null,"url":null,"abstract":"Background. It is well-known that with aging there is a loss of bone mass and its strength, which leads to the development of osteoporosis and its complications. The aim of the study was to create a modern mathematical model for determining the biolo­gical age of the bone system, taking into account indices of bone mineral density (BMD) and quality and the FRAX® questionnaire. Materials and methods. 77 women and 44 men aged 30 to 90 years without any significant somatic pathology were included in the study. Patients were divided into 4 age groups: 30–44 years old — young, 45–59 years — mature, 60–74 years — old age and 75–90 years — senile age. We measured the parameters of BMD in the different areas of the skeleton by means of the dual-photon X-ray absorptiometry (DXA, “Prodigy”). The 10-year probability of major osteoporotic and hip fractures was measured using the Ukrainian version of the FRAX®. Statistical analysis was performed in the Statistica 7.0 program (StatSoft Inc., USA). Results. The dependence of the indices of BMD and bone quality, risk of osteoporotic fractures on age and the need for their early determination in young people to predict the risk of osteoporosis and its complications have been proven. The coefficient of determination of the R2 model was 0.62, which indicates that 62 % of the variance of the “Age” can be explained by the predictors included in the model (DXA and FRAX indices); adjusted R2 index was 0.59 (p < 0.001), which indicates high significance of the model. Conclusions. The developed model for estimating the bone biological age has high accuracy and can be used to assess the risk of osteoporosis and its complications in young people for the purpose of predicting the disease.","PeriodicalId":320219,"journal":{"name":"PAIN, JOINTS, SPINE","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PAIN, JOINTS, SPINE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22141/pjs.12.1.2022.324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Background. It is well-known that with aging there is a loss of bone mass and its strength, which leads to the development of osteoporosis and its complications. The aim of the study was to create a modern mathematical model for determining the biolo­gical age of the bone system, taking into account indices of bone mineral density (BMD) and quality and the FRAX® questionnaire. Materials and methods. 77 women and 44 men aged 30 to 90 years without any significant somatic pathology were included in the study. Patients were divided into 4 age groups: 30–44 years old — young, 45–59 years — mature, 60–74 years — old age and 75–90 years — senile age. We measured the parameters of BMD in the different areas of the skeleton by means of the dual-photon X-ray absorptiometry (DXA, “Prodigy”). The 10-year probability of major osteoporotic and hip fractures was measured using the Ukrainian version of the FRAX®. Statistical analysis was performed in the Statistica 7.0 program (StatSoft Inc., USA). Results. The dependence of the indices of BMD and bone quality, risk of osteoporotic fractures on age and the need for their early determination in young people to predict the risk of osteoporosis and its complications have been proven. The coefficient of determination of the R2 model was 0.62, which indicates that 62 % of the variance of the “Age” can be explained by the predictors included in the model (DXA and FRAX indices); adjusted R2 index was 0.59 (p < 0.001), which indicates high significance of the model. Conclusions. The developed model for estimating the bone biological age has high accuracy and can be used to assess the risk of osteoporosis and its complications in young people for the purpose of predicting the disease.
基于骨矿物质密度和质量指数和乌克兰FRAX模型的骨生物年龄数学模型
背景。众所周知,随着年龄的增长,骨量和强度会减少,从而导致骨质疏松症及其并发症的发生。该研究的目的是建立一个现代数学模型,用于确定骨系统的生物年龄,同时考虑到骨矿物质密度(BMD)和质量指标以及FRAX®问卷调查。材料和方法。77名女性和44名男性年龄在30至90岁之间,没有任何明显的躯体病理。患者分为4个年龄组:30-44岁为青年,45-59岁为成熟,60-74岁为老年,75-90岁为老年。我们通过双光子x射线吸收仪(DXA,“Prodigy”)测量了骨骼不同区域的骨密度参数。使用乌克兰版本的FRAX®测量10年主要骨质疏松症和髋部骨折的概率。统计分析在Statistica 7.0程序(StatSoft Inc., USA)中进行。结果。已证实骨密度、骨质量、骨质疏松性骨折风险等指标与年龄的相关性,以及在年轻人中早期检测这些指标以预测骨质疏松症及其并发症风险的必要性。R2模型的决定系数为0.62,表明模型中包含的预测因子(DXA和FRAX指数)可以解释62%的“年龄”方差;调整后的R2指数为0.59 (p < 0.001),表明模型具有较高的显著性。结论。所建立的骨生物年龄模型具有较高的准确性,可用于评估年轻人骨质疏松症及其并发症的风险,以达到预测骨质疏松症的目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信