The injury characteristics of open pilon fractures predictive of complications

Does the OTA Open Fracture Classification Align With the Gustilo-Anderson Classification? A Study of 2215 Open Fractures

OBJECTIVES

To characterize the Orthopaedic Trauma Association Open Fracture Classification (OTA-OFC) and Gustilo-Anderson classification of open extremity fractures and determine if there is meaningful alignment between these grading systems.

METHODS

DESIGN

Retrospective case series.

SETTING

Level I academic trauma center.

PATIENT SELECTION CRITERIA

Adult patients with at least 1 operatively treated open extremity fracture and surgeon-assigned OTA-OFC and Gustilo-Anderson classification.

OUTCOME MEASURES AND COMPARISONS

Frequency, distribution, and association measures of OTA-OFC category scores and Gustilo-Anderson classification types.

RESULTS

Two thousand twenty-seven patients (mean age, 43.1 ± 17.5 years) with 2215 fractures were included. Gustilo-Anderson type I or II fractures (n = 961; 43%) most frequently had the least severe scores for all OTA-OFC categories. Type IIIA fractures (n = 978; 44%) were most often assigned intermediate scores for OTA-OFC Bone Loss (n = 564; 58%). Type IIIB fractures (n = 204, 9%) were most often assigned intermediate OTA-OFC Skin scores (n = 120; 59%). Type IIIC fractures (n = 72; 3%) were most often assigned the most severe OTA-OFC Arterial score (n = 60; 83%). In the multivariable model, OTA-OFC Contamination scores showed little association (β = 0.05; 95% confidence interval [CI], 0.01-0.09) with Gustilo-Anderson classification severity. Conversely, higher OTA-OFC Arterial (β = 0.50; 95% CI 0.44-0.56) and Skin (β = 0.46; 95% CI, 0.40-0.51) scores were strongly associated with more severe Gustilo-Anderson classifications.

CONCLUSIONS

OTA-OFC Contamination scores were weakly associated with Gustilo-Anderson classification severity for open fractures. The study findings suggest that the current Gustilo-Anderson classification does not adequately account for injury contamination, a known predictor of infection.

LEVEL OF EVIDENCE

Diagnostic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Factors Associated With the Development of a Confirmed Fracture-Related Infection

OBJECTIVES

To identify factors associated with the development of fracture-related infection (FRI) in patients who have undergone operative fixation of their fracture.

DESIGN

Retrospective study.

SETTING

Academic medical center.

PATIENTS/PARTICIPANTS

Patients with peripheral extremity long-bone fractures and shoulder and pelvic girdle fractures who underwent operative repair. This included patients who had undergone fixation inside and outside of our institution.

INTERVENTION

Chi-square, Fisher exact testing, analysis of variance (ANOVA), and t tests were used for analysis of data, as appropriate. Binomial logistic regression analysis was performed to determine risk factors of FRI.

MAIN OUTCOME MEASUREMENTS

Demographics, fracture location, injury mechanism, open wound status, and wound complication type.

RESULTS

One hundred ninety-three patients comprised the FRI cohort. Of those with confirmed signs of FRI, 36 (18.7%) had wound breakdown to bone or implant, 120 (62.1%) had a sinus track, and 170 patients (88.1%) had the confirmed presence of microorganisms in deep tissue samples obtained during operative intervention. Factors associated with development of an FRI were as follows: higher BMI; being of Black and Hispanic race; higher American Society of Anesthesiologists class; history of tobacco, alcohol, and drug use; and fractures of the lower extremity (foot, tibia, and femur/pelvis). The results of binary logistic regression demonstrated that treatment at an urban level I trauma center and drug use positively predicted the development of FRI.

CONCLUSION

Our results demonstrate that higher BMI; being of Black or Hispanic race; higher American Society of Anesthesiologists; history of tobacco, alcohol, and drug use; and fractures of the foot, tibia, and femur/pelvis are all factors associated with development of FRI.

LEVEL OF EVIDENCE

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Significant Factors of High Performance Outcomes for Tibial Plafond Fractures

BACKGROUND

Limited research exists about high performance postsurgical tibial plafond fractures. This study aimed to identify aspects of the plafond fracture injury and care associated with "high performance" based on Patient Reported Outcome Measurement Information System (PROMIS) Physical Function (PF) scores.

METHODS

Tibial plafond fracture patients with minimum 12-month follow-up treated at a level 1 trauma center from 2006 to 2019 were categorized into high (top 25%) vs average-low (AL) (bottom 75%) performers based on PROMIS PF scores. Demographics and fracture characteristics of high and AL performers were compared. Variables with a P value less than .1 were used in stepwise logistic regressions.

RESULTS

The final cohort of 198 patients was divided into high (n=51) and AL (n=147) performers based on PF scores. The mean PF scores for the high and AL groups were 58 (SD=5.3) and 41.9 (SD=6.5), respectively. The mean PROMIS Pain Interference scores for the high performers and AL were 43.3 (SD=4.9) and 56.8 (SD=8.6) (P < .001), respectively. FAAM activities of daily living (high 95.4 [SD=5.5] vs AL 70.4 [SD=19.8], P < .001) and FAAM sports (high 76.8 [SD=21.3] vs AL 27.3 [SD=28.9], P < .001) subscale scores were significantly greater in the high-performing group. Sex, age, marital status, and diabetes were nonsignificant factors in univariate analysis. Significant demographic factors associated with high performance from univariate analysis were Caucasian race, private insurance, no tobacco use, lower body mass index (BMI), and mechanism of injury. Patients with fracture characteristics of OTA 43C (complete articular) fractures, bone loss, open fractures, or nonexcellent reduction were significantly less likely to be high performers. Additionally, less than excellent reductions were more common in more complex fracture patterns. Multivariable regression modeling showed that higher BMI, OTA/AO 43-C (complete articular) fracture classification, and open fracture were significant independent risk factors for reducing likelihood of high performance.

CONCLUSION

Significant independent factors associated with high performance after tibial plafond fracture are lower BMI, closed fracture, and OTA/AO 43-B (partial articular) fracture.