Research Mentor Name

Charles S. Day

Research Mentor Email Address

Institution / Department

Henry Ford Health System Department of Orthopaedic Surgery

Document Type

Research Abstract

Research Type


Level of Research




Patient-Reported Outcomes Measurement Information System (PROMIS) scores have been utilized in setting realistic post-intervention expectations. Predicting likelihood of improvement based on pre-operative variables may allow for better decision-making and patient counseling. We hypothesized that preoperative PROMIS scores correlate with patients’ subjective level of improvement after trapeziectomy and ligament reconstruction with tendon interposition (LRTI)


Retrospective chart review was performed to identify patients who underwent trapeziectomy and LRTI. Preoperative PROMIS Upper Extremity (UE), Pain Interference (PI), Depression (DP), and QuickDASH (QD) scores were collected. At follow-up appointments, patients were asked an anchor question: “Since your treatment, how would you rate your overall function?”. Responses represent a 7-point Likert scale from “Much Worse” to “Much Improved”. Univariable logistic regression modeled significance between preoperative scores and subjective improvement. Correlation between preoperative scores and anchor question responses was calculated using Receiver Operating Characteristic (ROC) Curves and reported as area under the curve (AUC).


There were 69 patients included in this study. Forty-two patients (61%) reported “somewhat improved” or better and 27 patients (39%) reported “no change” or worse. Univariate logistic regression revealed that PROMIS Depression scores were significantly correlated with subjective improvement. Patients with higher PROMIS Depression scores demonstrated a lower likelihood of reporting improvement. AUC of 0.76 for PROMIS Depression scores indicated a strong predictive ability.


Patients with higher pre-operative PROMIS Depression scores are significantly less likely to report improvement after trapeziectomy with LRTI. This had a strong predictive ability and may improve future patient selection and pre-operative counseling.


Medicine and Health Sciences | Orthopedics


We thank Dr. Charles Day and the residents, attendings, and faculty at Henry Ford Health System for their mentorship and support on this project.

Included in

Orthopedics Commons