OsteoPorosis Treatment Identification Using Machine Learning

OPTIMAL is a pilot feasibility study for a machine learning (ML) based enhanced screening software for osteoporosis.This tool has been created using machine learning, based on data from NHS Greater Glasgow and Clyde. The study will contact individuals deemed at high risk by the study (750 patients will be re-identified, and these will be contacted starting from the highest risk until 250 patients are recruited) and perform DXA scans, clinical review, and bloods tests that are relevant to osteoporosis. This data will then be compared to the predictions made by the OPTIMAL enhanced screening tool, in order to test how effective it is.

Inclusion Criteria:Age >=50yAge <=80yIdentified as high risk by initial modelExclusion Criteria:Age <50yAge >80yBMI <=18 & >=30Recorded diagnosis of osteoporosisPrior prescription of bone protective agents such as:bisphosphonate (alendronic acid, risedronate, ibandronate, zoledronic acid) / denosumab / raloxifene / strontium ranelate / teriparatide / romosozumabHistory of prior DXA imaging (prior quantification of BMD)History of metabolic bone diseaseHistory of primary hyperparathyroidism