Work

A Prediction Model for Instability in Adult Distal Radius Fractures: Integrating Post-Reduction and Follow-Up Indicators

Year: 2025

Type: article

Abstract: Background/Objectives: Although Lafontaine criteria are widely used to predict fracture instability for distal radius fractures (DRFs), their predictive performance remains limited. This study aimed to enhance prediction accuracy by incorporating post-reduction and one-week follow-up radiographic findings. Methods: This retrospective study included adults with DRFs treated with closed reduction and casting. A predictive model was developed using pre- and post-reduction radiographs through stepwise multivariable logistic regression. Simplified scores were derived to classify patients into low-, moderate- and high-risk groups, guiding follow-up or early surgical intervention. An additional predictive model based on one-week radiographs was developed for the moderate-risk group with uncertain stability. Internal validation was performed using bootstrapping, and model performance was compared with Lafontaine criteria. Results: Of 402 patients identified, 244 met inclusion criteria; 161 developed malalignment and 98 required surgery. The mean age was 58.5 ± 16.7 years, and 75.1% were female. In baseline model, significant predictors of instability included dorsal angulation > 20°, intra-articular fracture, ulnar variance > 3 mm, volar cortex restoration, and post-reduction volar angulation ≤ 0°. Internal validation demonstrated good performance (optimism-adjusted AUC = 0.86). Risk stratification identified 39% of patients as moderate risk, who were subsequently used to develop a one-week follow-up model, with ulnar variance > 3 mm as a key predictor for instability. The overall model outperformed Lafontaine criteria (AUC = 0.75 vs. 0.68). Conclusions: The proposed model effectively stratifies instability risk and supports clinical decision-making by integrating critical post-reduction and one-week radiographic parameters, offering greater accuracy than existing criteria.

Source: Journal of Clinical Medicine

DOI: 10.3390/jcm14238336

Authors: Nuttapol Khajonvittayakul, Kittiwan Supichyangur, Adinun Apivatgaroon, Pichaya Tantiyavarong

Institutions: Thammasat University, Rajavithi Hospital, Rangsit University

Language: English

Topic: Orthopedic Surgery and Rehabilitation

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,137