AO Trauma Orthogeriatrics vs DRU Classification

The AOTrauma Orthogeriatrics App (Orthogers) is an educational tool for healthcare professionals managing older adults with a fragility fracture. Its second release covers four areas of medical management: osteoporosis, delirium, anticoagulation, and perioperative pain. The primary audience is surgeons and surgical trainees and the content is also appropriate for other physicians and professionals who are involved in comanagement. All information contained in the Orthogers App is intended for preparing medical procedures and considering clinical options and not as an aid while carrying out medical procedures or making and implementing clinical decisions. The content is presented through a series of decision pathways but is solely for educational purposes (ie, it is NOT designed for making diagnostic or treatment decisions for any individual patient). Orthogers is not designed for laypersons and all users must read and accept the Terms, Conditions, and Disclaimers within the App.

The distal radius and ulna (DRU) classification is an accurate parameter of a child’s maturity status. It is useful for management of spine and limb deformities as it can predict the peak growth spurt and growth cessation with good sensitivity and specificity. It has also been shown to be an indicator of scoliosis curve progression and predict which curves will deteriorate. This app provides users with a tool to understand the DRU classification, how to use the classification for grading skeletal maturity, and also for guiding treatment. In addition, this app has a calculation function for final body height prediction for female patients with idiopathic scoliosis. Current features: 1. Explanation of the DRU classification 2. Distal radius and ulna features on x-rays for grading 3. DRU grading quiz 4. Final height prediction calculator 5. Useful publications in this field of paediatric skeletal growth and scoliosis curve progression Features to come: 1. Curve progression prediction 2. Image capture and automated grading and prediction