AAOS Shoulder & Elbow Registry Launches Shoulder Arthroplasty Predictive Model

    Campbell Clinic Orthopaedics has gifted the AAOS Shoulder & Elbow Registry (SER) its Shoulder Arthroplasty Predictive (SHARP) Model, a tool designed to help surgeons predict postoperative shoulder arthroplasty outcomes.

    The SHARP Model, which will be available exclusively to current and future SER participants, is intended to assist surgeons in assessing risk associated with each patient undergoing a shoulder arthroplasty procedure. It offers point-of-care feedback based on preoperative factors, such as:

    • Patient age
    • Preoperative ASES score
    • Disability
    • Chronic obstructive pulmonary disease
    • Type of shoulder arthroplasty

    The SHARP Model was created by the Campbell Clinic utilizing pooled data from 1947 patients at 3 high-volume shoulder arthroplasty institutions: 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,” said Jessica Welter, DO, who recently completed her fellowship in sports, shoulder and elbow surgery at Campbell Clinic. “As an early-practice surgeon, I don’t 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.”