Patient-Perceived Hand Function Can Predict Treatment for Dupuytren Disease

Web-based patient-reported outcome measures (PROMs) could help surgeons remotely assess the need for examination and subsequent treatment of patients with Dupuytren disease (DD). The authors studied whether the Unité Rhumatologique des Affections de la Main (URAM) and the Michigan Hand Questionnaire (MHQ) could predict DD treatment.

In this prospective cohort study, the authors compared MHQ and URAM scores of treated patients with those of untreated patients. For the treatment group, the authors selected a score closest to 1 year before treatment. For controls, the authors randomly selected a score. The authors also tested the predictive value of a 1-year change score between 15 months and 6 weeks before treatment. The primary outcome measure was DD treatment. The predictive value was determined using the area under the curve (AUC). An AUC greater than 0.70 was considered good predictive ability; 0.70 to 0.50, poor predictive ability; and less than 0.50, no predictive ability.

The authors included 141 patients for the MHQ analysis and 145 patients for the URAM analysis. The AUC of the MHQ and URAM scores measured 1 year before treatment were 0.80 (95% CI, 0.71 to 0.88) and 0.75 (95% CI, 0.68 to 0.82), respectively. The 1-year change score resulted in an AUC less than 0.60 for both questionnaires.

The results show that both the MHQ and URAM score measured around 1 year before treatment can predict treatment for DD. If future studies show that telemonitoring of patients with DD with PROMs is also cost-effective, web-based PROMs could optimize patient care and effectiveness of DD treatment.

Risk, III.