This study aimed to identify factors that inde- pendently predict increased rates of transfusion following total hip arthroplasty (THA) surgery. A retrospective analysis of all patients undergoing THA surgery over 12 months was performed. Electronic operative records were analysed to determine the following patient factors: American Society of Anesthesiologists (ASA) grade, body mass index (BMI), co-morbidities, indication for surgery, surgical technique, type of implant used, haematological markers, hospital length of stay (LOS) and complications. A total of 244 patients were included. There were 141 females (58%) and 103 males (42%). The median age was 65±12. The median pre-operative blood volume was 4500mls (IQR; 4000-5200). The median blood loss was 1069mls (IQR; 775-1390). The total number of patients requiring transfusion was 28 (11%), with a median of two units being transfused. Pre-operative haemoglobin (p<0.001) level, haematocrit (p<0.001) level and weight (p=0.016) were found to be predictive of transfusion requirement as well as ASA grade (p=0.005). Application of an intra-operative surgical drain was associated with higher rates of transfusion (p<0.001). Our study strengthens the evidence that pre-operative haemoglobin and haematocrit levels are valuable predictors of patients requiring transfusion. Additionally, ASA grade may be viewed as a helpful factor in predicting risk of transfusion. A strategy incorporating pre-operative optimisation of modifiable factors may reduce rates of transfusion requirement.

Background This systematic review aims to ascertain how accurately 3D models can be predicted from two‐dimensional (2D) imaging utilising statistical shape modelling. Methods A systematic search of published literature was conducted in September 2022. All papers which assessed the accuracy of 3D models predicted from 2D imaging utilising statistical shape models and which validated the models against the ground truth were eligible. Results 2127 papers were screened and a total of 34 studies were included for final data extraction. The best overall achievable accuracy was 0.45 mm (root mean square error) and 0.16 mm (average error). Conclusion Statistical shape modelling can predict detailed 3D anatomical models from minimal 2D imaging. Future studies should report the intended application domain of the model, the level of accuracy required, the underlying demographics of subjects, and the method in which accuracy was calculated, with root mean square error recommended if appropriate.

Superior teamwork in the operating theatre is associated with improved technical performance and clinical outcomes. Yet modern rota patterns, workforce shortages, and increasing complexity of surgery, means that there is less familiarity between staff and the required choreography. Immersive Virtual Reality (iVR) can successfully train surgical staff individually, however iVR team training has yet to be investigated. We aimed to design a multiplayer iVR platform for anterior approach total hip arthroplasty (AA-THA) and assess if multiplayer iVR training was superior to single player training for acquisition of both technical and non-technical skills.An iVR platform with choreographed roles for the surgeon and scrub nurse was developed using Cognitive Task Analysis. Forty participants were randomised to individual or team iVR training. Individually- trained participants practiced alongside virtual avatar counterparts, whilst teams trained live in pairs. Both groups underwent five iVR training sessions over 6-weeks. Subsequently, they underwent a real-life assessment in which they performed AA-THA on a high-fidelity model with real equipment in a simulated theatre. Teams performed together and individually trained participants were randomly paired up. Videos were marked by two blinded assessors recording the NOTSS, NOTECHS II and SPLINTS scores - validated technical and non-technical scores assessing surgeon and scrub nurse skills. Secondary outcomes were procedure time and number of technical errors.Teams outperformed individually trained participants for non-technical skills in the real-world assessment (NOTSS 13.1 ± 1.5 vs 10.6 ± 1.6, p =0.002, NOTECHS-II score 51.7 ± 5.5 vs 42.3 ± 5.6, p=0.001 and SPLINTS 10 ± 1.2 vs 7.9 ± 1.6, p = 0.004). They completed the assessment 28.1% faster (27.2 minutes ± 5.5 vs 41.8 ±8.9, p<0.001), and made fewer than half the number of technical errors (10.4 ± 6.1 vs 22.6 ± 5.4, p<0.001).Multiplayer training leads to faster surgery with fewer technical errors and the development of superior non-technical skills for anterior approach total hip arthroplasty. The convention of surgeons and nurses training separately, but undertaking real complex surgery together, can be supplanted by team training, delivered through immersive virtual reality.

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