ABSTRACT
INTRODUCTION: Dead space management following debridement surgery in chronic osteomyelitis or septic non-unions is one of the most crucial and discussed steps for the success of the surgical treatment of these conditions. In this retrospective clinical study, we described the efficacy and safety profile of surgical debridement and local application of S53P4 bioactive glass (S53P4 BAG) in the treatment of bone infections. METHODS: A consecutive single-center series of 38 patients with chronic osteomyelitis (24) and septic non-unions (14), treated with bioactive glass S53P4 as dead space management following surgical debridement between May 2015 and November 2020, were identified and evaluated retrospectively. RESULTS: Infection eradication was reached in 22 out of 24 patients (91.7%) with chronic osteomyelitis. Eleven out of 14 patients (78.6%) with septic non-union achieved both fracture healing and infection healing in 9.1 ± 4.9 months. Three patients (7.9%) developed prolonged serous discharge with wound dehiscence but healed within 2 months with no further surgical intervention. Average patient follow-up time was 19.8 months ± 7.6 months. CONCLUSION: S53P4 bioactive glass is an effective and safe therapeutic option in the treatment of chronic osteomyelitis and septic non-unions because of its unique antibacterial properties, but also for its ability to generate a growth response in the remaining healthy bone at the bone-glass interface.
Subject(s)
Bone Substitutes , Osteomyelitis , Humans , Retrospective Studies , Bone Substitutes/therapeutic use , Anti-Bacterial Agents/therapeutic use , Persistent Infection , Osteomyelitis/drug therapy , Osteomyelitis/surgery , Osteomyelitis/microbiologyABSTRACT
Background and Objective: Proximal femoral replacement due to revision hip arthroplasty or catastrophic proximal femur fracture fixation failures with considerable proximal femur bone loss can lead to a substantial loss of function of the soft tissue around the hip and the abductor muscles in particular. Surgical techniques of gluteus medius repair and/or abductor mechanism reattachment/reconstruction are widely debated in the literature, but it is quite rarely dealt with in the context of megaprosthesis and femoral reconstruction, particularly in non-oncologic patients. The aim of this study is to present a narrative review of the literature on techniques for abductor reattachment in proximal femoral replacement for non-oncological reconstructions. Methods: MEDLINE, Embase, and Cochrane databases were searched by two researchers independently from inception until February 1st, 2023 (923 for MEDLINE and 963 for Embase; Cochrane is a composite of multiple databases and thus does not report a standard inception date). Articles examining proximal femoral reconstruction with megaprosthesis or allograft prosthesis were included. Studies concerning cadaver and oncologic patients were excluded. If the researchers failed to find an agreement on whether to include a study, the senior researcher would make a final decision in such cases. Data were extracted and stored, and qualitative synthesis was performed. Key Content and Findings: A total of 1,157 articles from MEDLINE, 11,187 articles from Embase, and 0 articles from Cochrane were identified. Of 12,344 articles, the structured screening process revealed 10 eligible trials. Four different types of abductor musculature reconstruction/reinsertion were identified. Conclusions: Multiple and complex revision hip arthroplasties as well as multiple surgical procedures for proximal femur fracture fixations failures may have a great impact on proximal femur bone stock condition and soft tissue preservation requiring the use of a proximal femur megaprosthesis. In such cases, the abductor mechanism reconstruction and/or reattachment is achievable with different techniques that can be resumed in four different groups: direct suture to the prosthesis, trochanteric sleeve osteotomy, muscle-to-muscle suture, and synthetic tube augmentation suture.
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Revision of anterior cruciate ligament reconstruction (ACL-R) presents many challenges that are not encountered in the primary setting and, therefore, requires thorough preoperative planning. Recently, there has been growing evidence showing that combining the anterolateral ligament (ALL) reconstruction with ACL-R revision reduces the risk of postoperative ACL rupture and meniscal tears, and therefore, the ALL reconstruction becomes essential to a complex ACL revision. The technique that we describe is mainly used in the setting of complex ACL revision with extensive tunnel osteolysis associated with rotational instability of the knee. This article presents a technique for a one-stage complex ACL-R revision combined with ALL reconstruction using an Achilles tendon allograft with a bone plug.
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Artificial Neural Network (ANN), together with a Particle Swarm Optimization (PSO) and Finite Element Model (FEM), was used to forecast the process performances for the Micro Electrical Discharge Machining (micro-EDM) drilling process. The integrated ANN-PSO methodology has a double direction functionality, responding to different industrial needs. It allows to optimize the process parameters as a function of the required performances and, at the same time, it allows to forecast the process performances fixing the process parameters. The functionality is strictly related to the input and/or output fixed in the model. The FEM model was based on the capacity of modeling the removal process through the mesh element deletion, simulating electrical discharges through a proper heat-flux. This paper compares these prevision models, relating the expected results with the experimental data. In general, the results show that the integrated ANN-PSO methodology is more accurate in the performance previsions. Furthermore, the ANN-PSO model is faster and easier to apply, but it requires a large amount of historical data for the ANN training. On the contrary, the FEM is more complex to set up, since many physical and thermal characteristics of the materials are necessary, and a great deal of time is required for a single simulation.