Introduction. Postvoid residualurine (PVR) can be an unknown chronic disorder, but it can also occur after surgery. A pilot-study initiated in Elective Surgery Center, Silkeborg led to collaboration with a urologist to develop a flowchart regarding treatment of PVR. Depending on the severity, men with significant PVR volumes were either recommend follow up by general practitioner or referred to an urologist for further diagnose and/or treatment. Aim: to determine the prevalence of pre- and postoperative PVR in men >65 years undergoing orthopedic surgeries and associated risk factors. Method. A single-center, prospective cohort study. Male patients were consecutively included during one year from April 2022. Data was extracted from the electronic patient files: age, lower urinary tract symptoms (LUTS), co-morbidity (e.g. diabetes), type of surgery and anesthesia, opioid use, pre- and postoperative PVR. Result. 796 participants; 316 knee-, 276 hip-, 26 shoulder arthroplasties and 178 lower back spinal surgeries. 95% (755) were bladder scanned preoperatively. 12% (89) had PVR 150-300ml, and 3% (23) had PVR >300ml. There was a higher risk of preoperative PVR ≥150ml in patients reporting LUTS, OR 1.97(1.28;3.03), having known neurological disease, OR 3.09(1.41;6.74), and the risk increased with higher age, OR 1.08 per year (1.04;1.12). Diabetes and the type of surgery was not associated with higher risk of PVR. 72% (569) had a postoperative bladder scan. 15% (95%CI: 12-19%) (70) patients without PVR preoperatively had PVR ≥150ml postoperatively. Conclusion. Approximately 15% of the men had PVR ≥150ml preoperatively. Neurological disease was the most severe risk factor and secondary if reporting LUTS. As expected, the risk increased with age. Neither diabetes nor the type of surgery was associated with higher risk. 15% of men without preoperative PVR had PVR after surgery. It is not possible to conclude if it is transient or chronic but further studies are ongoing

Background. Comminuted fractures involving the tibia are associated with a high level of complications including delayed healing and non-union, in conjunction with dramatically increased healthcare costs. Certain clinicians utilise a Pixel Value Ratio (PRV) of 1 to indicate such fracture healing. The subjectivity of this method has led to mixed outcomes including regenerate fracture. The poor prognosis of complex load bearing fractures is accentuated by the fact that no quantitative gold standard currently exists to which clinicians can reference regarding the definition of a healed fracture. The aim of the current study is to use patient specific finite element analysis of complex tibial fractures treated with Ilizarov frames to demonstrate callus maturation and to determine the optimum frame removal time. Methods. 3 patients (2 males, 1 female) were analysed following presentation with complex tibial fractures treated with Ilizarov frames. Patient specific computational analysis was performed according to radiographic data, incorporating maturing material properties to analyse the callus response to weight bearing over the healing timeframe. Computational results were compared to the PVR method to evaluate its efficacy in determining the optimum Ilizarov frame removal time. Results. All fractures were observed to clinically heal at a mean of 25.4 (±2.404) weeks. Following computational analysis however, the mean optimum Ilizarov frame removal time was seen to be 23.5 (±2.323) weeks. When compared with the PVR method, the suggested removal time presented a mean PVR of 1.025 (±0.017). Conclusion. Computational models of patient specific tibial fractures has shown promising correlations with the PVR method and has shown efficacy in predicting callus strength and subsequent optimum frame removal time. Level of Evidence. Level 4