Distal Radius Fractures: AAOS Appropriate Use Criteria Versus Actual Management at a Level I Trauma Center

Comparison of Distal Radius Fracture Outcomes in Older Adults Stratified by Chronologic vs Physiologic Age Managed With Casting vs Surgery

IMPORTANCE

Casting is recommended for adults older than 65 years with distal radius fractures (DRFs) because similar long-term outcomes are achieved regardless of treatment. However, physiologically younger adults could benefit from operative DRF management despite advanced chronologic age.

OBJECTIVE

To examine how chronologic age compares with measures of physiologic age in DRF treatment recovery.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective secondary analysis of the Wrist and Radius Injury Surgical Trial (WRIST) was performed from May 1 to August 31, 2022. WRIST was a 24-center randomized clinical trial that enrolled participants older than 60 years with unstable DRFs from April 1, 2012, to December 31, 2016.

INTERVENTIONS

Participants selected casting or surgery. Patients who selected surgery were randomly assigned to volar lock plating, percutaneous pinning, or external fixation. Participants were stratified by chronologic age, number of comorbidities, and activity status.

MAIN OUTCOMES AND MEASURES

The primary outcome was Michigan Hand Outcomes Questionnaire (MHQ) score assessed at 6 weeks, 3 months, 6 months, and 1 year. Partial correlation (PC) analysis adjusted for confounding.

RESULTS

The final cohort consisted of 293 participants (mean [SD] age, 71.1 [8.89] years; 255 [87%] female; 247 [85%] White), with 109 receiving casting and 184 receiving surgery. Increased chronologic age was associated with increased MHQ scores in the surgery group at all time points but decreased MHQ scores in the casting group at 12 months (mean [SD] score, -0.46 [0.21]; P = .03). High activity was associated with improved MHQ scores in the surgical cohort at 6 weeks (mean [SD] score, 12.21 [5.18]; PC = 0.27; P = .02) and 12 months (mean [SD] score, 13.25 [5.77]; PC = 0.17; P = .02). Comorbidities were associated with decreased MHQ scores at all time points in the casting group. Clinically significant differences in MHQ scores were associated with low physical activity, 4 or more comorbidities, or increased age by 15 years.

CONCLUSIONS AND RELEVANCE

In this retrospective secondary analysis of WRIST, chronologic age was not associated with functional demand. These findings suggest that physicians should counsel active older adults with few comorbidities on earlier return to daily activities after surgery compared with casting.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01589692.

Predictors of Management of Distal Radius Fractures in Patients Aged >65 Years

BACKGROUND

Treatment of distal radius fractures (DRFs) in patients aged >65 years is controversial. The purpose of this study was to identify what patient and fracture characteristics may influence the decision to pursue surgical versus nonsurgical treatment in patients aged >65 years sustaining a DRF.

METHODS

We queried our institutional DRF database for patients aged >65 years who presented to a single academic, tertiary center hand clinic over a 5-year period. In all, 164 patients treated operatively were identified, and 162 patients treated nonoperatively during the same time period were selected for comparison (total N = 326). Demographic variables and fracture-specific variables were recorded. Patient and fracture characteristics between the groups were compared to determine which variables were associated with each treatment modality (operative or nonoperative).

RESULTS

The average age in our cohort was 72 (SD: 11) years, and 274 patients (67%) were women. The average Charlson Comorbidity Index (CCI) was 4.1 (SD: 2.1). The CCI is a validated tool that predicts 1-year mortality based on patient age and a list of 22 weighted comorbidities. Factors associated with operative treatment in our population were largely related to the severity of the injury and included increasing dorsal tilt (odds ratio [OR], 1.09; 95% confidence interval [CI], 1.05-1.12; P < .001) and AO Classification type C fractures (OR, 5.42; 95% CI, 2.35-11.61; P < .001). Increasing CCI was the only factor independently associated with nonoperative management (OR, 0.84; 95% CI, 0.72-0.997; P = .046).

CONCLUSION

Fracture severity is a strong driver in the decision to pursue operative management in patients aged >65 years, whereas increasing CCI predicts nonoperative treatment.

Treatment Patterns for Distal Radius Fractures Before and After Appropriate Use Criteria Adoption

BACKGROUND

The purpose of this study was to determine agreement with the American Academy of Orthopaedic Surgery Appropriate Use Criteria (AUC) for distal radius fractures (DRFs), before and after their adoption, and secondarily determine predictors of operative management.

METHODS

A single-institution retrospective cohort study comparing patients treated either nonoperatively (115 patients) or operatively (767 patients) for DRFs between May 1, 2008, and May 1, 2018, by 8 hand surgeons was performed. Data included demographics, injury characteristics, DRF radiographic measurements, treatment rendered, and their appropriateness according to the AUC. Statistical testing used the Fisher and χ2 tests, t test, and multiple variable logistic regression, with a significance level of .05.

RESULTS

Overall, there was a significant increase in AUC agreement for operatively treated DRFs (82.7%-89.3%, P = .01), but no difference in agreement for nonoperatively treated DRFs (12.5%-10.7%, P = .77). Age <80 years, AO classes other than B, intra-articular displacement >1 mm, radial inclination <18°, high-energy mechanism of injury, and greater than 1 week to treatment were independent predictors of operative treatment. The area under the curve for the validated regression model using the aforementioned predictors was 0.82.

CONCLUSION

Agreement with AUC for DRFs increased after its adoption for operatively treated, but not for nonoperatively treated, fractures. In addition, a predictive model for operative treatment was developed and validated. Future studies may benefit from further model refinement and testing in other patient cohorts.

Predicting fracture outcomes from clinical registry data using artificial intelligence supplemented models for evidence-informed treatment (PRAISE) study protocol

BACKGROUND

Distal radius (wrist) fractures are the second most common fracture admitted to hospital. The anatomical pattern of these types of injuries is diverse, with variation in clinical management, guidelines for management remain inconclusive, and the uptake of findings from clinical trials into routine practice limited. Robust predictive modelling, which considers both the characteristics of the fracture and patient, provides the best opportunity to reduce variation in care and improve patient outcomes. This type of data is housed in unstructured data sources with no particular format or schema. The "Predicting fracture outcomes from clinical Registry data using Artificial Intelligence (AI) Supplemented models for Evidence-informed treatment (PRAISE)" study aims to use AI methods on unstructured data to describe the fracture characteristics and test if using this information improves identification of key fracture characteristics and prediction of patient-reported outcome measures and clinical outcomes following wrist fractures compared to prediction models based on standard registry data.

METHODS AND DESIGN

Adult (16+ years) patients presenting to the emergency department, treated in a short stay unit, or admitted to hospital for >24h for management of a wrist fracture in four Victorian hospitals will be included in this study. The study will use routine registry data from the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR), and electronic medical record (EMR) information (e.g. X-rays, surgical reports, radiology reports, images). A multimodal deep learning fracture reasoning system (DLFRS) will be developed that reasons on EMR information. Machine learning prediction models will test the performance with/without output from the DLFRS.

DISCUSSION

The PRAISE study will establish the use of AI techniques to provide enhanced information about fracture characteristics in people with wrist fractures. Prediction models using AI derived characteristics are expected to provide better prediction of clinical and patient-reported outcomes following distal radius fracture.

International Survey: Factors Associated With Operative Treatment of Distal Radius Fractures and Implications for the American Academy of Orthopaedic Surgeons' Appropriate Use Criteria

OBJECTIVES

Through an international survey, we assessed whether deciding to operatively treat an intra-articular distal radius fracture (DRF) is guided by identifiable patient and surgeon factors. In addition, we compared surgeons' treatment decisions with the American Academy of Orthopaedic Surgeons' Appropriate Use Criteria (AUC) treatment recommendations.

METHODS

This cross-sectional survey asked 224 surgeons to operatively or nonoperatively treat 28 hypothetical patients with radiographs of an intra-articular DRF. We randomized patient age (50/70 years), gender, mechanism of injury, activity level, and OTA/AO fracture type. We classified 6 fractures as "nonclinically significant displacement" and 22 as "potentially clinically significant displacement." Multilevel logistic regression analysis was performed. Odds ratios (ORs) and 95% confidence intervals (CIs) were reported. Statistical significance was P < 0.05.

RESULTS

Patient factors independently associated with surgery included younger age (OR 6.7, P = 0.003), clinically significant fracture displacement (type B: OR 122, CI, 20-739, P < 0.001; type C: OR 59, CI, 12-300, P < 0.001), normal activity level (OR 5.0, P < 0.001), and high-energy mechanisms (OR 1.3, P = 0.002). Surgeon factors associated with recommending surgery included practicing outside the United States (Europe: OR 2.6, P < 0.001; "other": OR 4.8, P < 0.001). Hand surgeons most often selected surgery, as compared to orthopaedic trauma surgeons (OR 2.3, P = 0.001) and "other orthopaedists" (OR 2.2, P = 0.022). Thirty-seven percent of treatment decisions for patients with normal activity levels were rated by AUC recommendations as "rarely appropriate," which included 91% disagreement for 70-year-olds with nonclinically significant displacement.

CONCLUSIONS

Surgeons use patient age and fracture displacement to make treatment recommendations for intra-articular DRF. We recommend that the AUC be updated to include these clinical factors as essential components in its algorithm.

LEVEL OF EVIDENCE

Therapeutic Level V. See Instructions for Authors for a complete description of levels of evidence.