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This text discusses a rare case of soft tissue infection caused by the fungus Saksenaea in a young, immunocompetent woman following an all-terrain vehicle accident abroad. Despite initial treatment, her wound worsened, necessitating multiple surgical revisions and aggressive antifungal therapy with liposomal Amphotericin B. The interdisciplinary collaboration among orthopedic surgeons, infectious disease specialists, and plastic surgeons played a vital role in her successful treatment. Prompt identification of the fungus and immediate intervention were crucial. This case emphasizes the importance of awareness among healthcare providers regarding this rare condition and underscores the significance of early diagnosis and timely surgical and medical interventions for a positive outcome.

Background: Fractures around the knee joint are inherently complex in terms of treatment; complication rates are high, and they are difficult to diagnose on a plain radiograph. An automated way of classifying radiographic images could improve diagnostic accuracy and would enable production of uniformly classified records of fractures to be used in researching treatment strategies for different fracture types. Recently deep learning, a form of artificial intelligence (AI), has shown promising results for interpreting radiographs. In this study, we aim to evaluate how well an AI can classify knee fractures according to the detailed 2018 AO-OTA fracture classification system., Methods: We selected 6003 radiograph exams taken at Danderyd University Hospital between the years 2002-2016, and manually categorized them according to the AO/OTA classification system and by custom classifiers. We then trained a ResNet-based neural network on this data. We evaluated the performance against a test set of 600 exams. Two senior orthopedic surgeons had reviewed these exams independently where we settled exams with disagreement through a consensus session., Results: We captured a total of 49 nested fracture classes. Weighted mean AUC was 0.87 for proximal tibia fractures, 0.89 for patella fractures and 0.89 for distal femur fractures. Almost ¾ of AUC estimates were above 0.8, out of which more than half reached an AUC of 0.9 or above indicating excellent performance., Conclusion: Our study shows that neural networks can be used not only for fracture identification but also for more detailed classification of fractures around the knee joint., Competing Interests: The authors have read the journal’s policy and the authors of this manuscript have the following competing interests: MG, OS, and AS are co-founders and shareholders in DeepMed AB. While this puts us at a financial competing interest, the company has limited activity with currently no revenue stream, no external investors and no pending patents. There are no patents, products in development or marketed products to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Introduction: For any orthopaedic surgeon working with trauma; ankle fractures are one of the most common injuries treated. The treatment of ankle fractures can be conservative, using external fixation, but more commonly the fractures are treated with open reduction and internal fixation. Residual pain and discomfort are common in patients after surgical treatment of fractures of the ankle. Sometimes it is difficult to determine whether the pain or discomfort is due to the implants left in situ or the primary injury itself. In many cases, the decision is made to remove the implants. Extraction of internal fixation material from the ankle is a common procedure in many orthopaedic clinics. There are no evidence-based guidelines or consensus regarding the effect of hardware removal from the ankle. The aim of this protocol is to describe the method that will be used to collect, describe and analyse the current evidence regarding hardware removal after fracture healing of the ankle., Methods and Analysis: We will conduct a systematic review of studies that were published after 1967 regarding the benefits of hardware removal in patients with pain or discomfort after fracture healing of the ankle. Study selection will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. We will make a predefined search strategy and use it in several databases. We will include both randomised controlled trials (RCTs) and non-RCT studies. We will use descriptive statistics to summarise the studies collected. If more than one RCT is collected then a meta-analysis will be conducted. The quality of evidence will be assessed using Grading of Recommendations Assessment, Development and Evaluation guidelines., Ethics and Dissemination: No ethics approval is required as no primary data will be collected. Once complete, the results will be made available by peer-reviewed publication., Trial Registration Number: PROSPERO registration number CRD42016039186., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Background: A femoral neck fracture (FNF) is a common cause of suffering and premature death in the elderly population. Optimizing the treatment for improved outcome and a reduced need for secondary surgery is important both for the patient and the society. The choice of primary total or hemiarthroplasty in patients over eighty years are controversial. We hypothesized that total hip arthroplasty has an equal or better outcome in patient-reported outcome compared with hemiarthroplasty., Methods/design: A prospective, randomized, single-blinded trial will be conducted. We will include 120 patients, 80 years of age and over with an acute (<36 h) displaced femoral neck fracture. The patients will be randomized in a 1:1 ratio to either total hip arthroplasty or hemiarthroplasty. The primary endpoints are Harris hip Score and EQ-5D. Secondary endpoints include pain measured with visual analogue scale, surgical time, reoperations, complications and radiological measurement of erosion in patients operated with hemiarthroplasty. Follow-up will be performed postoperatively after three months, 1, 2, 4 and 10 years., Discussion: To our knowledge, this is the first randomized controlled trial comparing total hip arthroplasty and hemiarthroplasty for displaced femoral neck fracture in patients age 80 years and over., Trial Registration: Clinicaltrial.gov: NCT02246335.

Background: Tobacco smoking is a major health and economic concern and is also known to have a significant negative effect on surgical outcomes. The benefits of a smoking cessation intervention prior to elective orthopaedic surgery have been evaluated previously. Our aim was to assess whether a smoking cessation program, initiated during the acute hospitalization period and carried out for six weeks, could reduce the number of complications following emergency surgical treatment of fractures., Methods: In a multicenter, single-blinded, randomized, controlled clinical trial, 105 smokers with a fracture of the lower or upper extremity that needed acute surgical treatment were randomized to an intervention group (n = 50) or a control group (n = 55). The intervention group was offered a standardized smoking cessation program for six weeks, and all patients were followed at two to three weeks, four weeks, and six to twelve weeks., Results: The proportion of patients with at least one postoperative complication was significantly larger in the control group than it was in the intervention group (38% and 20%, respectively; p = 0.048). The development of two or more postoperative complications was also more common among the controls (p = 0.039). The rates of superficial wound infection, the most frequently recorded complication in both groups, were 20% and 8%, but this difference was not significant. A secondary analysis showed that the odds of having a complication were 2.51 times (95% confidence interval, 0.96 to 6.9 times) higher in the control group than in the intervention group, but this difference was not significant., Conclusions: Our results indicate that a smoking cessation intervention program during the first six weeks after acute fracture surgery decreases the risk of postoperative complications.

Objective: To determine whether an intervention with smoking cessation starting 4 weeks before general and orthopedic surgery would reduce the frequency of postoperative complications., Summary Background Data: Complications are a major concern after elective surgery and smokers have an increased risk. There is insufficient evidence concerning how the duration of preoperative smoking intervention affects postoperative complications., Methods: A randomized controlled trial, conducted between February 2004 and December 2006 at 4 university-affiliated hospitals in the Stockholm region, Sweden. The outcome assessment was blinded. The follow-up period for the primary outcome was 30 days. Eligibility criteria were active daily smokers, aged 18 to 79 years. Of the 238 patients assessed, 76 refused participating, and 117 men and women undergoing surgery for primary hernia repair, laparoscopic cholecystectomy, or a hip or knee prosthesis were enrolled., Intervention: Smoking cessation therapy with individual counseling and nicotine substitution started 4 weeks before surgery and continued 4 weeks postoperatively. The control group received standard care. The main outcome measure was frequency of any postoperative complication., Results: An intention-to-treat analysis showed that the overall complication rate in the control group was 41%, and in the intervention group, it was 21% (P = 0.03). Relative risk reduction for the primary outcome of any postoperative complication was 49% and number needed to treat was 5 (95% CI, 3-40). An analysis per protocol showed that abstainers had fewer complications (15%) than those who continued to smoke or only reduced smoking (35%), although this difference was not statistically significant., Conclusion: Perioperative smoking cessation seems to be an effective tool to reduce postoperative complications even if it is introduced as late as 4 weeks before surgery.

Tobacco smokers suffer from postoperative complications after surgery more often than non-smokers. This has been proven in both general, orthopaedic and plastic surgery. In recent years, preoperative smoking cessation has been evaluated in several studies. It has been shown that smoking cessation four to eight weeks prior to surgery significantly reduces wound healing complications. There are still some unanswered questions concerning the necessary length of preoperative smoking cessation to affect the complication rate. There is also lacking evidence on smoking cessation in emergency surgery, and the cost-effectiveness of a smoking cessation intervention programme. Therefore, further studies on preoperative smoking cessation are needed. Three randomised multi-center trials in greater Stockholm are planned to further elucidate these questions.