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Ohkawa et al. demonstrated that preoperative AP and rotational laxity varied among patients and suggested that postoperative stabilization may vary as well [29]. However, they did not stratify these differences by patient characteristics or additional injuries. The purpose of this study was to determine whether intraoperative prereconstruction stability measurements and/or patient characteristics were associated with final stability results after computer-assisted ACL reconstruction. It was hypothesized that preoperative Temsirolimus rotational and translational stability would predict postoperative stability and that patient characteristics and concomitant intra-articular knee injuries would be associated with more pre- and postoperative instability. 2. Materials and Methods This study was a retrospective review of all patients who underwent computer-assisted primary single-bundle ACL reconstruction by a single surgeon from 2007 to 2012. Exclusion criteria included revision surgeries and those patients with incomplete intraoperative data. All patients had computer-navigated ACL reconstructions using the Aesculap 2.0 Ortho Pilot Navigation System (B. MRIP Braun Aesculap, Tuttlingen, Germany). Intraoperative pre- and post-ACL reconstruction stability measurements were collected; anterior translation, internal rotation, and external rotation were measured at 30 degrees of knee flexion (see Section 3). Patient charts were reviewed for this intraoperative stability data as well as for relevant surgical details (graft type, fixation) as well as patient characteristics (age, gender, and associated injuries). One hundred eighty-seven anterior cruciate ligament reconstructions were performed PD173074 supplier by a single surgeon between January 2007 and January 2012. Twenty-two were revision surgeries and were excluded from data analysis, and an additional 22 patients were excluded due to incomplete charts or documented problems with intraoperative stability measurements. Thus 143 patients with primary ACL reconstructions were included for analysis. Preoperative rotational and translational stability was compared to postoperative stability, and stability data was compared between various patient and injury characteristics. Statistical analysis was performed using Pearson's correlation coefficients, t-tests, and ANOVAs. Significance was set at P

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