Shoulder Arthroplasty Predictive Model Now Available

The Shoulder Arthroplasty Predictive (SHARP) Model created by Campbell Clinic Orthopaedics is now available to current and new American Academy of Orthopaedic Surgeons (AAOS) Registry participants.

The SHARP model is designed to help surgeons predict post-operative shoulder arthroplasty outcomes. It can be used to guide preoperative conversations between surgeons and patients and set appropriate expectations for surgical outcomes.

The predictive model assesses individual patient risk using preoperative factors such as patient age, American Shoulder and Elbow Surgeons score, disability, chronic obstructive pulmonary disease and type of shoulder arthroplasty.

The model is based on pooled data from 1,947 patients at the Hospital for Special Surgery, the Rothman Institute and Atlantis Orthopaedics.

“The shoulder predictive model is a great resource for clinicians who need to educate patients on their expected outcomes after shoulder arthroplasty procedures. As an early-practice surgeon, I do not have the benefit of years of surgery experience yet to predict how individual patients will respond to different procedures. This model provides a turnkey, in-office tool to help guide treatment conversations and decisions,” said Jessica Welter, D.O., who recently completed her fellowship in sports, shoulder and elbow surgery at Campbell Clinic.

The AAOS Shoulder & Elbow Registry has more than 100 participating facilities including hospitals, private practices and ambulatory surgical centers across 31 states. Data on over 10,500 surgeries are included in the registry.

To request a demonstration of the SHARP model or learn more about the registry, email RegistryEngagement@aaos.org or call 847-292-0530.

The AAOS registry program also includes the American Joint Replacement Registry, the Musculoskeletal Tumor Registry and the American Spine Registry. The American Joint Replacement Registry (AJRR), the Academy’s hip and knee replacement registry, is the world’s largest national registry of hip and knee joint replacement data by annual procedural count, with more than 2.1 million procedures stored within its database.