SHAFRE
Skeletal Health Assessment and Fracture Risk Estimator
Unlock the Power of Predictive Analytics for Fracture Risk Assessment
Skeletal Health Assessment and Fracture Risk Estimator (SHAFRE) is a cutting-edge tool designed to enchance the way we evaluate bone health and predict fracture risks. Developed by a team of leading experts in internal medicine, public health, geriatrics, rehabilitation medicine, epidemiology, and data science, SHAFRE offers a comprehensive approach to assessing skeletal integrity and forecasting fracture probabilities.
The SHAFRE Tool is recommended for research only pending certification.
New Publication: A Clinical Prediction Model for Hip Fractures
We are pleased to announce that a key scientific study, “A Novel Clinical Prediction Model for Hip Fractures: A Development and Validation Study in the Total Population of Sweden”, is now available in eClinicalMedicine. This study has developed and validated a model that accurately predicts the 5-year risk of hip fractures without the need for bone density measurements.
The study is based on data from over 3.3 million individuals in Sweden, using 19 predictors such as age, diagnoses like Parkinson’s disease, and socioeconomic factors. This model is the foundation of the SHAFRE tool on our website, allowing users to calculate fracture risk using a proven, evidence-based approach.
How to use SHAFRE
Entering Patient Information
Fill in the required fields with accurate patient information, including age, gender, weight, height, and relevant medical history.
Answering Risk Factor Questions
Respond to the risk factor questions with either "yes" or "no" as applicable. Ensure completeness and accuracy in providing this information. f you are lacking information, leave it blank, and SHAFRE will adjust the algorithms accordingly.
Review and Interpret Results
Once all information is entered, review the results generated by the Risk Assessment Tool. Interpret the risk assessment report carefully, considering the patient's overall health status and individual risk factors.
Review and Interpret Results
Once all information is entered, review the results generated by the Risk Assessment Tool. Interpret the risk assessment report carefully, considering the patient's overall health status and individual risk factors.
Taking Action
Based on the risk assessment report, formulate appropriate management strategies and interventions to address identified fracture risks. Consult with healthcare professionals for further evaluation and guidance if necessary.
Feedback and Support
Provide feedback on the tool's usability and effectiveness to help us improve our services. For any questions or assistance, contact our support team for prompt assistance.
2023
Physical Activity, Cardiovascular Health
Paluch AE, Bajpai S, Ballin M, Bassett DR, Buford TW, Carnethon MR, Chernofsky A, Dooley EE, Ekelund U, Evenson KR, Galuska DA, Jefferis BJ, Kong L, Kraus WE, Larson MG, Lee IM, Matthews CE, Newton RL Jr, Nordström A, Nordström P, Palta P, Patel AV, Pettee Gabriel K, Pieper CF, Pompeii L, Rees-Punia E, Spartano NL, Vasan RS, Whincup PH, Yang S, Fulton JE; Steps for Health Collaborative. Prospective Association of Daily Steps With Cardiovascular Disease: A Harmonized Meta-Analysis. Circulation. 2023 Jan 10;147(2):122-131.
2023
MedTech
Muñoz Esquivel K, Gillespie J, Kelly D, Condell J, Davies R, McHugh C, Duffy W, Nevala E, Alamäki A, Jalovaara J, Tedesco S, Barton J, Timmons S, Nordström A. Factors Influencing Continued Wearable Device Use in Older Adult Populations: Quantitative Study. JMIR Aging. 2023 Jan 19;6:e36807.
2021
Physical Activity, Cardiovascular Health
Ballin M, Nordström P, Nordström A. Associations of Light, Moderate to Vigorous, and Total Physical Activity With the Prevalence of Metabolic Syndrome in 4,652 Community-Dwelling 70-Year-Olds: A Population-Based Cross-Sectional Study. J Aging Phys Act. 2021 Jan 7:1-9.
2021
Tedesco S, Andrulli M, Larsson MÅ, Kelly D, Alamäki A, Timmons S, Barton J, Condell J, O’Flynn B, Nordström A. Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults. International Journal of Environmental Research and Public Health. 2021; 18(23):12806.
2021
Physical Activity, Falls &. Fractures
Scott D, Johansson J, Gandham A, Ebeling PR, Nordstrom P, Nordstrom A. Associations of accelerometer-determined physical activity and sedentary behavior with sarcopenia and incident falls over 12 months in community-dwelling Swedish older adults. J Sport Health Sci. 2021 Sep;10(5):577-584.
2020
Review, MedTech
Alamäki A, Nevala E, Barton, J, Condell J, Munoz Esquivel K, Nordström A, Tedesco S, Kelly D, Heaney D. Wearable Technology Supported Home Rehabilitation Services in Rural Areas -Emphasis on Monitoring Structures and Activities of Functional CapacityPublications of Karelia University of Applied Sciences B, Handbooks and Article collections: 58 ISBN: 978-952-275-283-3
2019
Falls &. Fractures, Physical Activity
Scott D, Johansson J, McMillan LB, Ebeling PR, Nordstrom A, Nordstrom P. Mid-calf skeletal muscle density and its associations with physical activity, bone health and incident 12-month falls in older adults: The Healthy Ageing Initiative. Bone. 2019 Mar;120:446-451.