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Published on: November 13, 2016
A Scoring System for Predicting Nonunion After Intramedullary Nailing of Femoral Shaft Fractures
Kent R Kraus1, Joshua W Flores, James E Slaven
1From the Department of Orthopaedic Surgery (Dr. Kraus, Dr. Flores, Dr. Mullis, and Dr. Natoli), the Department of Biostatistics and Health Data Science (Dr. Slaven), Indiana University School of Medicine, Indianapolis, IN; the Indiana University School of Medicine, Indianapolis, IN (Dr. Sharma and Dr. Arnold); and the Indiana University Health Physicians, Indianapolis, IN (Dr. Mullis and Dr. Natoli).
Introduction:
Femoral shaft nonunion negatively affects patient quality of life. Although multiple risk factors have been identified for femoral shaft nonunion after intramedullary nail (IMN) fixation, there is no quantitative model for predicting nonunion.
Study Description:
The study is a retrospective cohort study of patients with femoral shaft fractures treated at two level one trauma centers who were followed to fracture union or nonunion. Patient, injury, and surgical characteristics were analyzed to create a quantitative model for nonunion risk after intramedullary nailing.
Methods:
Eight hundred one patients aged 18 years and older with femoral shaft fractures treated with reamed, locked IMNs were identified. Risk factors including demographics, comorbidities, surgical variables, and injury-related characteristics were evaluated. Multivariate analysis was conducted, and several variables were included in a scoring system to predict nonunion risk.
Results:
The overall nonunion rate was 7.62% (61/801). Multivariate analysis showed significant association among pulmonary injury (odds ratio [OR] = 2.19, P = 0.022), open fracture (OR=2.36, P = 0.02), current smoking (OR=3.05, P < 0.001), postoperative infection (OR=12.1, P = 0.007), AO/OTA fracture pattern type A or B (OR=0.43, P = 0.014), and percent cortical contact obtained intraoperatively ≥25% (OR=0.41, P = 0.021) and nonunion. The scoring system created to quantitatively stratify nonunion risk showed that a score of 3 or more yielded an OR of 6.38 for nonunion (c-statistic = 0.693, P < 0.0001).
Conclusions:
Femoral shaft nonunion risk is quantifiable based on several independent injury, patient, and surgical factors. This scoring system is an additional tool for clinical decision making when caring for patients with femoral shaft fractures treated with IMNs.

