Jäckle, Katharina

Background: In the age of individualised arthroplasty, the question arises whether currently available standard implants adequately consider femoral condylar morphology (FCM). Therefore, physiological reference values of FCM are needed. The aim was to establish physiological reference values for anterior (ACO) and posterior condylar offset (PCO) as well as for the length of the medial (LMC) and lateral femoral condyles (LLC). Methods: The knee joints of 517 patients (mean age: 52.3 years (±16.8)) were analysed retrospectively using MRI images. Medial (med) and lateral (lat) ACO and PCO, as well as LMC and LLC, were measured. All FCM parameters were examined for association with age, gender, side and osteoarthritis. Results: Mean ACOmed was 2.8 mm (±2.5), mean ACOlat was 6.7 mm (±2.3), mean PCOmed was 25.7 mm (±4.6), mean PCOlat was 23.6 mm (±3.0), mean LMC was 63.7 mm (±5.0) and mean LLC was 64.4 mm (±5.0). Except for PCOmed, the mean values of all other FCM parameters were significantly higher in male knees compared to female knees. ACOmed and PCOmed showed significant side-specific differences. There were no significant differences in relation to age and osteoarthritis. Conclusion: The study showed significant differences in FCM side- and gender-specifically in adult knees. These aspects should be considered in the discussion of individual and gender-specific knee joint replacement.

Abstract Background Cage implantations and autologous pelvic bone grafts are common surgical procedures to fuse the spine in cases of spinal disorders such as traumatic fractures or degenerative diseases. These surgical methods are designed to stably readjust the spine and to prevent late detrimental effects such as pain or increasing kyphosis. Benefits of these surgical interventions have been evaluated, but the long-term well-being of patients after the respective treatments has not yet been examined. This study was designed to evaluate the clinical outcome for patients who received iliac crest or cage implantations. Material and Methods Forty-six patients with traumatic fractures after they obtained an anterior fusion in the thoracic or lumbar spine (12 cages; mean age: 54.08 years; 34 pelvic bone grafts; mean age: 42.18 years) were asked to participate in the survey using a precast questionnaire according the Visual Analog Scale (VAS) Spine Score. Twenty-nine of them provided the data requested. Results Evaluation of the VAS scores of the patients, reporting at least 1 year after the surgery, revealed that cage implantations led to significantly better results with respect to all aspects of their daily life such as pain sensing, capability to undertake physical activities and exercise as compared with patients with autologous pelvic bone graft. Patients with autologous pelvic bone graft treatment reported a particularly poor overall satisfaction level concerning their long-term well-being. Conclusions Patients with cage implantation reported a higher degree of long-term well-being. The data provide evidence for a positive impact on the postsurgery quality of life after cage implantation.

Background: While primary hip arthroplasty is the most common operative procedure in orthopedic surgery, a periprosthetic joint infection is its most severe complication. Early detection and prediction are crucial. In this study, we aimed to determine the value of postoperative C-reactive protein (CRP) and develop a formula to predict this rare, but devastating complication. Methods: We retrospectively evaluated 708 patients with primary hip arthroplasty. CRP, white blood cell count (WBC), and several patient characteristics were assessed for 20 days following the operative procedure. Results: Eight patients suffered an early acute periprosthetic infection. The maximum CRP predicted an infection with a sensitivity and specificity of 75% and 56.9%, respectively, while a binary logistic regression reached values of 75% and 80%. A multinominal logistic regression, however, was able to predict an early infection with a sensitivity and specificity of 87.5% and 78.9%. With a one-phase decay, 71.6% of the postoperative CRP-variance could be predicted. Conclusion: To predict early acute periprosthetic joint infection after primary hip arthroplasty, a multinominal logistic regression is the most promising approach. Including five parameters, an early infection can be predicted on day 5 after the operative procedure with 87.5% sensitivity, while it can be excluded with 78.9% specificity.