BONEcheck: a digital tool for personalized bone health assessment

IF 2.5 Q3 ENDOCRINOLOGY & METABOLISM Osteoporosis and Sarcopenia Pub Date : 2023-05-11 DOI:10.1101/2023.05.10.23289825
D. T. Nguyen, T. Ho-Le, L. Pham, V. P. Ho-Van, T. Hoang, T. Tran, S. Frost, T. Nguyen
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Abstract

Background and Aim: 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. We aimed to introduce a digital tool called 'BONEcheck' for personalized bone health assessment. 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. By utilizing published methodologies, BONEcheck generates output related to the likelihood of fracture and its associated outcomes. The vocabulary utilized to convey risk estimation and management is tailored to individuals with a reading proficiency at level 8 or above. Results: The tool is designed for men and women aged 50 years and older who either have or have not sustained a fracture. Based on the input variables, BONEcheck estimates the probability of any fragility and hip fracture within 5 years, skeletal age, subsequent fracture, genetic risk score, and recommended interval for repeating BMD. The probability of fracture is shown in both numeric and human icon array formats. The risk is also presented in the context of treatment and management options based on Australian guidelines. 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. In its entirety, BONEcheck is a system of algorithms translated into a single platform for personalized osteoporosis and fracture risk assessment. Conclusions: BONEcheck is a new system of algorithms that aims to offer not only fracture risk probability but also contextualize the efficacy of anti-fracture measures concerning the survival benefits. The tool can enable 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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BONEcheck:用于个性化骨骼健康评估的数字工具
背景和目的:骨质疏松性骨折是一种重要的公共卫生负担,与增加的死亡率和高昂的医疗费用有关。准确和早期识别高危个体并降低其风险是骨折治疗和预防的核心部分。我们旨在推出一种名为“BONNecheck”的数字工具,用于个性化骨骼健康评估。方法:BONNecheck的开发主要利用基于前瞻性人群的Dubbo骨质疏松症流行病学研究和丹麦全国注册中心的数据。BONNecheck有3个模块:输入数据、风险估计和风险背景。输入变量包括年龄、性别、既往骨折、跌倒发生率、骨密度(BMD)、合并症和与BMD相关的遗传变异。通过利用已发表的方法,BONNecheck生成与骨折可能性及其相关结果相关的输出。用于传达风险估计和管理的词汇是为阅读能力达到8级或以上的个人量身定制的。结果:该工具是为50岁及以上的男性和女性设计的,他们要么有骨折,要么没有骨折。根据输入变量,BONNecheck估计5年内发生任何脆性和髋部骨折的概率、骨龄、后续骨折、遗传风险评分和重复BMD的推荐间隔。骨折的概率以数字和人体图标数组的形式显示。风险也在基于澳大利亚指南的治疗和管理方案中提出。骨骼年龄估计为实际年龄和因骨折或暴露于增加死亡风险的风险因素而损失的寿命之和。总体而言,BONNecheck是一个算法系统,可转化为个性化骨质疏松症和骨折风险评估的单一平台。结论:BONNecheck是一个新的算法系统,其目的不仅是提供骨折风险概率,还将抗骨折措施的疗效与生存效益联系起来。该工具可以使医生和患者参与知情的讨论,并根据患者的风险状况做出决定。公众可通过https://bonecheck.org以及在Apple Store(iOS)和Google Play(Android)中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Osteoporosis and Sarcopenia
Osteoporosis and Sarcopenia Orthopedics, Sports Medicine and Rehabilitation, Endocrinology, Diabetes and Metabolism, Obstetrics, Gynecology and Women's Health, Geriatrics and Gerontology
自引率
5.00%
发文量
23
审稿时长
66 days
期刊最新文献
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