Aims. While use of large national clinical databases for orthopaedic trauma research has increased dramatically, there has been little study of the differences in populations contained therein. In this study we aimed to compare populations of patients with femoral shaft fractures across three commonly used national databases, specifically with regard to age and comorbidities. Patients and Methods. Patients were identified in the Nationwide Inpatient Sample (NIS), National Surgical Quality Improvement Program (NSQIP) and National Trauma Data Bank (NTDB). . Results. The distributions of age and Charleston comorbidity index (CCI) reflected a predominantly older population with more comorbidities in NSQIP (mean age 71.5; . sd. 15.6), mean CCI 4.9; . sd. 1.9) than in the NTDB (mean age 45.2; . sd. 21.4), mean CCI = 2.1; . sd. 2.0). Bimodal distributions in the NIS population showed a more mixed population (mean age 56.9; . sd.  24.9), mean CCI 3.2; . sd. 2.3). Differences in age and CCI were all statistically significant (p <  0.001). . Conclusion. While these databases have been commonly used for orthopaedic trauma research, differences in the populations they represent are not always readily apparent. Care must be taken to understand fully these differences before performing or evaluating database research, as the outcomes they detail can only be analysed in context. Take home message: Researchers and those evaluating research should be aware that orthopaedic trauma populations contained in commonly studied national databases may differ substantially based on sampling methods and inclusion criteria. Cite this article: Bone Joint J 2016;98-B:425–32

Objectives. One commonly used rat fracture model for bone and mineral research is a closed mid-shaft femur fracture as described by Bonnarens in 1984. Initially, this model was believed to create very reproducible fractures. However, there have been frequent reports of comminution and varying rates of complication. Given the importance of precise anticipation of those characteristics in laboratory research, we aimed to precisely estimate the rate of comminution, its importance and its effect on the amount of soft callus created. Furthermore, we aimed to precisely report the rate of complications such as death and infection. Methods. We tested a rat model of femoral fracture on 84 rats based on Bonnarens’ original description. We used a proximal approach with trochanterotomy to insert the pin, a drop tower to create the fracture and a high-resolution fluoroscopic imager to detect the comminution. We weighed the soft callus on day seven and compared the soft callus parameters with the comminution status. Results. The mean operating time was 34.8 minutes (. sd. 9.8). The fracture was usable (transverse, mid-shaft, without significant comminution and with displacement < 1 mm) in 74 animals (88%). Of these 74 usable fractures, slight comminution was detected in 47 (63%). In 50 animals who underwent callus manipulation, slight comminution (n = 32) was statistically correlated to the amount of early callus created (r = 0.35, p = 0.015). Two complications occurred: one death and one deep infection. Conclusions. We propose an accurate description of comminution and complications in order to improve experiments on rat femur fracture model in the field of laboratory research. Cite this article: Bone Joint Res 2013;2:149–54

Aims. Frailty greatly increases the risk of adverse outcome of trauma in older people. Frailty detection tools appear to be unsuitable for use in traumatically injured older patients. We therefore aimed to develop a method for detecting frailty in older people sustaining trauma using routinely collected clinical data. Methods. We analyzed prospectively collected registry data from 2,108 patients aged ≥ 65 years who were admitted to a single major trauma centre over five years (1 October 2015 to 31 July 2020). We divided the sample equally into two, creating derivation and validation samples. In the derivation sample, we performed univariate analyses followed by multivariate regression, starting with 27 clinical variables in the registry to predict Clinical Frailty Scale (CFS; range 1 to 9) scores. Bland-Altman analyses were performed in the validation cohort to evaluate any biases between the Nottingham Trauma Frailty Index (NTFI) and the CFS. Results. In the derivation cohort, five of the 27 variables were strongly predictive of the CFS (regression coefficient B = 6.383 (95% confidence interval 5.03 to 7.74), p < 0.001): age, Abbreviated Mental Test score, admission haemoglobin concentration (g/l), pre-admission mobility (needs assistance or not), and mechanism of injury (falls from standing height). In the validation cohort, there was strong agreement between the NTFI and the CFS (mean difference 0.02) with no apparent systematic bias. Conclusion. We have developed a clinically applicable tool using easily and routinely measured physiological and functional parameters, which clinicians and researchers can use to guide patient care and to stratify the analysis of quality improvement and research projects. Cite this article: Bone Joint J 2024;106-B(4):412–418

Aims. National hip fracture registries audit similar aspects of care but there is variation in the actual data collected; these differences restrict international comparison, benchmarking, and research. The Fragility Fracture Network (FFN) published a revised minimum common dataset (MCD) in 2022 to improve consistency and interoperability. Our aim was to assess compatibility of existing registries with the MCD. Methods. We compared 17 hip fracture registries covering 20 countries (Argentina; Australia and New Zealand; China; Denmark; England, Wales, and Northern Ireland; Germany; Holland; Ireland; Japan; Mexico; Norway; Pakistan; the Philippines; Scotland; South Korea; Spain; and Sweden), setting each of these against the 20 core and 12 optional fields of the MCD. Results. The highest MCD adherence was demonstrated by the most recently established registries. The first-generation registries in Scandinavia collect data for 60% of MCD fields, second-generation registries (UK, other European, and Australia and New Zealand) collect for 75%, and third-generation registries collect data for 85% of MCD fields. Five of the 20 core fields were collected by all 17 registries (age; sex; surgery date/time of operation; surgery type; and death during acute admission). Two fields were collected by most (16/17; 94%) registries (date/time of presentation and American Society of Anesthesiologists grade), and five more by the majority (15/17; 88%) registries (type, side, and pathological nature of fracture; anaesthetic modality; and discharge destination). Three core fields were each collected by only 11/17 (65%) registries: prefracture mobility/activities of daily living; cognition on admission; and bone protection medication prescription. Conclusion. There is moderate but improving compatibility between existing registries and the FFN MCD, and its introduction in 2022 was associated with an improved level of adherence among the most recently established programmes. Greater interoperability could be facilitated by improving consistency of data collection relating to prefracture function, cognition, bone protection, and follow-up duration, and this could improve international collaborative benchmarking, research, and quality improvement. Cite this article: Bone Joint J 2023;105-B(9):1013–1019

Aims. In the Netherlands, general practitioners (GPs) can request radiographs. After a radiologically diagnosed fracture, patients are immediately referred to the emergency department (ED). Since 2020, the Máxima Medical Centre has implemented a new care pathway for minor trauma patients, referring them immediately to the traumatology outpatient clinic (OC) instead of the ED. We investigated whether this altered care pathway leads to a reduction in healthcare consumption and concomitant costs. Methods. In this retrospective cohort study, patients were included if a radiologist diagnosed a fracture on a radiograph requested by the GP from August to October 2019 (control group) or August to October 2020 (research group), on weekdays between 8.30 am and 4.00 pm. The study compared various outcomes between groups, including the length of the initial hospital visit, frequency of hospital visits and medical procedures, extent of imaging, and healthcare expenses. Results. A total of 634 patients were included. The results show a median reduction of 25 minutes in duration of initial hospital visits, one fewer hospital visit, overall fewer medical procedures, and a decrease in healthcare costs of €303.40 per patient in the research group compared to the control group. No difference was found in the amount of imaging. Conclusion. The implementation of the new care pathway has resulted in a substantial reduction in healthcare use and costs. Moreover, the pathway provides advantages for patients and helps prevent crowding at the ED. Hence, we recommend immediately referring all minor trauma patients to the traumatology OC instead of the ED. Cite this article: Bone Jt Open 2023;4(10):728–734

Aims. The purpose of this study was to develop a convolutional neural network (CNN) for fracture detection, classification, and identification of greater tuberosity displacement ≥ 1 cm, neck-shaft angle (NSA) ≤ 100°, shaft translation, and articular fracture involvement, on plain radiographs. Methods. The CNN was trained and tested on radiographs sourced from 11 hospitals in Australia and externally validated on radiographs from the Netherlands. Each radiograph was paired with corresponding CT scans to serve as the reference standard based on dual independent evaluation by trained researchers and attending orthopaedic surgeons. Presence of a fracture, classification (non- to minimally displaced; two-part, multipart, and glenohumeral dislocation), and four characteristics were determined on 2D and 3D CT scans and subsequently allocated to each series of radiographs. Fracture characteristics included greater tuberosity displacement ≥ 1 cm, NSA ≤ 100°, shaft translation (0% to < 75%, 75% to 95%, > 95%), and the extent of articular involvement (0% to < 15%, 15% to 35%, or > 35%). Results. For detection and classification, the algorithm was trained on 1,709 radiographs (n = 803), tested on 567 radiographs (n = 244), and subsequently externally validated on 535 radiographs (n = 227). For characterization, healthy shoulders and glenohumeral dislocation were excluded. The overall accuracy for fracture detection was 94% (area under the receiver operating characteristic curve (AUC) = 0.98) and for classification 78% (AUC 0.68 to 0.93). Accuracy to detect greater tuberosity fracture displacement ≥ 1 cm was 35.0% (AUC 0.57). The CNN did not recognize NSAs ≤ 100° (AUC 0.42), nor fractures with ≥ 75% shaft translation (AUC 0.51 to 0.53), or with ≥ 15% articular involvement (AUC 0.48 to 0.49). For all objectives, the model’s performance on the external dataset showed similar accuracy levels. Conclusion. CNNs proficiently rule out proximal humerus fractures on plain radiographs. Despite rigorous training methodology based on CT imaging with multi-rater consensus to serve as the reference standard, artificial intelligence-driven classification is insufficient for clinical implementation. The CNN exhibited poor diagnostic ability to detect greater tuberosity displacement ≥ 1 cm and failed to identify NSAs ≤ 100°, shaft translations, or articular fractures. Cite this article: Bone Joint J 2024;106-B(11):1348–1360

Aims. Several studies have reported that patients presenting during the evening or weekend have poorer quality healthcare. Our objective was to examine how timely surgery for patients with severe open tibial fracture varies by day and time of presentation and by type of hospital. This cohort study included patients with severe open tibial fractures from the Trauma Audit and Research Network (TARN). Methods. Provision of prompt surgery (debridement within 12 hours and soft-tissue coverage in 72 hours) was examined, using multivariate logistic regression to derive adjusted risk ratios (RRs). Time was categorized into three eight-hour intervals for each day of the week. The models were adjusted for treatment in a major trauma centre (MTC), sex, age, year of presentation, injury severity score, injury mechanism, and number of operations each patient received. Results. We studied 8,258 patients from 175 hospitals. Patients presenting during the day (08:00 to 15:59; risk ratio (RR) 1.11, 95% confidence interval (CI) 1.02 to 1.20) were more likely to receive debridement within 12 hours, and patients presenting at night (16:00 to 23:59; RR 0.56, 95% CI 0.51 to 0.62) were less likely to achieve the target; triage to a MTC had no effect. Day of presentation was associated with soft-tissue coverage within 72 hours; patients presenting on a Thursday or Friday being less likely to receive this surgery within 72 hours (Thursday RR 0.88, 95% CI 0.81 to 0.97; Friday RR 0.89, 95% CI 0.81 to 0.98), and the standard less likely to be achieved for those treated in ‘non-MTC’ hospitals (RR 0.76, 95% CI 0.70 to 0.82). Conclusion. Variations in care were observed for timely surgery for severe open tibial fractures with debridement surgery affected by time of presentation and soft-tissue coverage affected by day of presentation and type of hospital. The variation is unwarranted and highlights that there are opportunities to substantially improve the delivery and quality of care for patients with severe open tibial fracture. Cite this article: Bone Jt Open 2022;3(12):941–952

Aims. Understanding of open fracture management is skewed due to reliance on small-number lower limb, specialist unit reports and large, unfocused registry data collections. To address this, we carried out the Open Fracture Patient Evaluation Nationwide (OPEN) study, and report the demographic details and the initial steps of care for patients admitted with open fractures in the UK. Methods. Any patient admitted to hospital with an open fracture between 1 June 2021 and 30 September 2021 was included, excluding phalanges and isolated hand injuries. Institutional information governance approval was obtained at the lead site and all data entered using Research Electronic Data Capture. Demographic details, injury, fracture classification, and patient dispersal were detailed. Results. In total, 1,175 patients (median age 47 years (interquartile range (IQR) 29 to 65), 61.0% male (n = 717)) were admitted across 51 sites. A total of 546 patients (47.1%) were employed, 5.4% (n = 63) were diabetic, and 28.8% (n = 335) were smokers. In total, 29.0% of patients (n = 341) had more than one injury and 4.8% (n = 56) had two or more open fractures, while 51.3% of fractures (n = 637) occurred in the lower leg. Fractures sustained in vehicle incidents and collisions are common (38.8%; n = 455) and typically seen in younger patients. A simple fall (35.0%; n = 410) is common in older people. Overall, 69.8% (n = 786) of patients were admitted directly to an orthoplastic centre, 23.0% (n = 259) were transferred to an orthoplastic centre after initial management elsewhere, and 7.2% were managed outwith specialist units (n = 81). Conclusion. This study describes the epidemiology of open fractures in the UK. For a decade, orthopaedic surgeons have been practicing in a guideline-driven, network system without understanding the patient features, injury characteristics, or dispersal processes of the wider population. This work will inform care pathways as the UK looks to the future of trauma networks and guidelines, and how to optimize care for patients with open fractures. Cite this article: Bone Jt Open 2022;3(10):746–752

Aims. The Open-Fracture Patient Evaluation Nationwide (OPEN) study was performed to provide clarity in open fracture management previously skewed by small, specialist centre studies and large, unfocused registry investigations. We report the current management metrics of open fractures across the UK. Method. Patients admitted to hospital with an open fracture (excluding phalanges or isolated hand injuries) between 1 June 2021 and 30 September 2021 were included. Institutional information governance approval was obtained at the lead site and all data entered using Research Electronic Data Capture software. All domains of the British Orthopaedic Association Standard for Open Fracture Management were recorded. Results. Across 51 centres, 1,175 patients were analyzed. Antibiotics were given to 754 (69.0%) in the emergency department, 240 (22.0%) pre-hospital, and 99 (9.1%) as inpatients. Wounds were photographed in 848 (72.7%) cases. Median time to first surgery was 16 hrs 14 mins (interquartile range (IQR) 8 hrs 29 mins to 23 hrs 19 mins). Complex injuries were operated on sooner (median 12 hrs 51 mins (IQR 4 hrs 36 mins to 21 hrs 14 mins)). Of initial procedures, 1,053 (90.3%) occurred between 8am and 8pm. A consultant orthopaedic surgeon was present at 1,039 (89.2%) first procedures. In orthoplastic centres, a consultant plastic surgeon was present at 465 (45.1%) first procedures. Overall, 706 (60.8%) patients required a single operation. At primary debridement, 798 (65.0%) fractures were definitively fixed, while 734 (59.8%) fractures had fixation and coverage in one operation through direct closure or soft-tissue coverage. Negative pressure wound therapy was used in 235 (67.7%) staged procedures. Following wound closure or soft-tissue cover, 509 (47.0%) patients received antibiotics for a median of three days (IQR 1 to 7). Conclusion. OPEN provides an insight into care across the UK and different levels of hospital for open fractures. Patients are predominantly operated on promptly, in working hours, and at specialist centres. Areas for improvement include combined patient review and follow-up, scheduled operating, earlier definitive soft-tissue cover, and more robust antibiotic husbandry. Cite this article: Bone Joint J 2022;104-B(9):1073–1080

Aims. Due to the recent rapid expansion of scooter sharing companies, there has been a dramatic increase in the number of electric scooter (e-scooter) injuries. Our purpose was to conduct a systematic review to characterize the demographic characteristics, most common injuries, and management of patients injured from electric scooters. Methods. We searched PubMed, EMBASE, Scopus, and Web of Science databases using variations of the term “electric scooter”. We excluded studies conducted prior to 2015, studies with a population of less than 50, case reports, and studies not focused on electric scooters. Data were analyzed using t-tests and p-values < 0.05 were considered significant. Results. We studied 5,705 patients from 34 studies. The mean age was 33.3 years (SD 3.5), and 58.3% (n = 3,325) were male. The leading mechanism of injury was falling (n = 3,595, 74.4%). Injured patients were more likely to not wear a helmet (n = 2,114; 68.1%; p < 0.001). The most common type of injury incurred was bony injuries (n = 2,761, 39.2%), of which upper limb fractures dominated (n = 1,236, 44.8%). Head and neck injuries composed 22.2% (n = 1,565) of the reported injuries, including traumatic brain injuries (n = 455; 2.5%), lacerations/abrasions/contusions (n = 500; 7.1%), intracerebral brain haemorrhages (n = 131; 1.9%), and concussions (n = 255; 3.2%). Standard radiographs comprised most images (n = 2,153; 57.7%). Most patients were treated and released without admission (n = 2,895; 54.5%), and 17.2% (n = 911) of injured patients required surgery. Qualitative analyses of the cost of injury revealed that any intoxication was associated with higher billing costs. Conclusion. The leading injuries from e-scooters are upper limb fractures. Falling was the leading mechanism of injury, and most patients did not wear a helmet. Future research should focus on injury characterization, treatment, and cost. Cite this article: Bone Jt Open 2022;3(9):674–683

Aims. The aim of this study was to determine the impact of hospital-level service characteristics on hip fracture outcomes and quality of care processes measures. Methods. This was a retrospective analysis of publicly available audit data obtained from the National Hip Fracture Database (NHFD) 2018 benchmark summary and Facilities Survey. Data extraction was performed using a dedicated proforma to identify relevant hospital-level care process and outcome variables for inclusion. The primary outcome measure was adjusted 30-day mortality rate. A random forest-based multivariate imputation by chained equation (MICE) algorithm was used for missing value imputation. Univariable analysis for each hospital level factor was performed using a combination of Tobit regression, Siegal non-parametric linear regression, and Mann-Whitney U test analyses, dependent on the data type. In all analyses, a p-value < 0.05 denoted statistical significance. Results. Analyses included 176 hospitals, with a median of 366 hip fracture cases per year (interquartile range (IQR) 280 to 457). Aggregated data from 66,578 patients were included. The only identified hospital-level variable associated with the primary outcome of 30-day mortality was hip fracture trial involvement (no trial involvement: median 6.3%; trial involvement: median 5.7%; p = 0.039). Significant key associations were also identified between prompt surgery and presence of dedicated hip fracture sessions; reduced acute length of stay and both a higher number of hip fracture cases per year and more dedicated hip fracture operating lists; Best Practice Tariff attainment and greater number of hip fracture cases per year, more dedicated hip fracture operating lists, presence of a dedicated hip fracture ward, and hip fracture trial involvement. Conclusion. Exploratory analyses have identified that improved outcomes in hip fracture may be associated with hospital-level service characteristics, such as hip fracture research trial involvement, larger hip fracture volumes, and the use of theatre lists dedicated to hip fracture surgery. Further research using patient level data is warranted to corroborate these findings. Cite this article: Bone Joint J 2021;103-B(10):1627–1632

Aims. This study estimated trends in incidence of open fractures and the adherence to clinical standards for open fracture care in England. Methods. Longitudinal data collected by the Trauma Audit and Research Network were used to identify 38,347 patients with open fractures, and a subgroup of 12,170 with severe open fractures of the tibia, between 2008 and 2019 in England. Incidence rates per 100,000 person-years and 95% confidence intervals were calculated. Clinical care was compared with the British Orthopaedic Association Standards for Trauma and National Major Trauma Centre audit standards. Results. In total, 60% of all open fractures occurred in males; the median age was 48 years (interquartile range (IQR) 29 to 68). Between 2012 and 2019, the overall incidence in England was 6.94 per 100,000 person-years. In males, the highest incidence observed was in those aged 20 to 29 years (11.50 per 100,000 person-years); in females, incidence increased with age, peaking at 32.11/100,000 person-years at 90 years of age and over. Among those with severe open fractures of the tibia, there was a bimodal distribution in males, peaking at 20 to 29 years (3.71/100,000 person-years) and greater than 90 years of age (2.84/100,000 person-years) respectively; among females, incidence increased with age to a peak of 9.91/100,000 person years at 90 years of age and over. There has been variable improvement with time in the clinical care standards for patients with severe open fractures of the tibia. The median time to debridement was 13.0 hours (IQR 6.4 to 20.9); almost two-thirds of patients underwent definitive soft-tissue coverage within 72 hours from 2016 to 2019. Conclusion. This is the first time the incidence of all open fractures has been studied using data from a national audit in England. While most open fractures occurred in young males, the incidence increased with age in females to a much greater level than observed in older males. The degree of missing data in the national audit is startling, and limits the certainty of inferences drawn concerning open fracture care. Cite this article: Bone Joint J 2022;104-B(6):736–746

Aims. The last decade has seen a marked increase in surgical rib fracture fixation (SRF). The evidence to support this comes largely from retrospective cohorts, and adjusting for the effect of other injuries sustained at the same time is challenging. This study aims to assess the impact of SRF after blunt chest trauma using national prospective registry data, while controlling for other comorbidities and injuries. Methods. A ten-year extract from the Trauma Audit and Research Network formed the study sample. Patients who underwent SRF were compared with those who received supportive care alone. The analysis was performed first for the entire eligible cohort, and then for patients with a serious (thoracic Abbreviated Injury Scale (AIS) ≥ 3) or minor (thoracic AIS < 3) chest injury without significant polytrauma. Multivariable logistic regression was performed to identify predictors of mortality. Kaplan-Meier estimators and multivariable Cox regression were performed to adjust for the effects of concomitant injuries and other comorbidities. Outcomes assessed were 30-day mortality, length of stay (LoS), and need for tracheostomy. Results. A total of 86,838 cases were analyzed. The rate of SRF was 1.2%. SRF significantly reduced risk of mortality (odds ratio (OR) 0.27 (95 confidence interval (CI) 0.128 to 0.273); p < 0.001) and need for tracheostomy (OR 0.22 (95% CI 0.191 to 0.319); p < 0.001) after adjustment for other covariables across the whole cohort. SRF remained protective in patients with a serious chest injury (hazard ratio (HR) 0.24 (95% CI 0.13 to 0.45); p < 0.001). The benefit in more minor chest injury was less clear. Mean LoS for patients who survived was longer in the SRF group (24.29 days (SD 26.54) vs 16.60 days (SD 26.35); p < 0.001). Conclusion. SRF reduces mortality after significant chest trauma associated with both major and minor polytrauma. The rate of fixation in the UK is low and potentially underused as a treatment for severe chest wall injury. Cite this article: Bone Joint J 2022;104-B(6):729–735

Aims. The aim of this study was to investigate the relationship between the Orthopaedic Trauma Society (OTS) classification of open fractures and economic costs. Methods. Resource use was measured during the six months that followed open fractures of the lower limb in 748 adults recruited as part of two large clinical trials within the UK Major Trauma Research Network. Resource inputs were valued using unit costs drawn from primary and secondary sources. Economic costs (GBP sterling, 2017 to 2018 prices), estimated from both a NHS and Personal Social Services (PSS) perspective, were related to the degree of complexity of the open fracture based on the OTS classification. Results. Adjusted mean total NHS and PSS costs were £13,785 following treatment of complex fractures and £3,550 following treatment of simple fractures, where the open fracture wound is closed at the end of the first wound debridement, generating a mean difference of £10,235 (95% confidence interval £8,074 to £12,396). Conclusion. Following previous work correlating clinical outcomes with the OTS classification of open fractures, this study suggests that the new OTS classification also correlates with economic costs estimated from alternative study perspectives. Cite this article: Bone Joint J 2022;104-B(3):408–412

Aims. There is increasing evidence to support the use of topical antibiotics to prevent surgical site infections. Although previous research suggests a minimal nephrotoxic risk with a single dose of vancomycin powder, fracture patients often require multiple procedures and receive additional doses of topical antibiotics. We aimed to determine if cumulative doses of intrawound vancomycin or tobramycin powder for infection prophylaxis increased the risk of drug-induced acute kidney injury (AKI) among fracture patients. Methods. This cohort study was a secondary analysis of single-centre Program of Randomized Trials to Evaluate Pre-operative Antiseptic Skin Solutions in Orthopaedic Trauma (PREP-IT) trial data. We included patients with a surgically treated appendicular fracture. The primary outcome was drug-induced AKI. The odds of AKI per gram of vancomycin or tobramycin powder were calculated using Bayesian regression models, which adjusted for measured confounders and accounted for the interactive effects of vancomycin and tobramycin. Results. Of the 782 included patients (mean age 48 years (SD 20); 59% male), 83% (n = 648) received at least one vancomycin dose (cumulative range 1 to 12 g). Overall, 45% of the sample received at least one tobramycin dose (cumulative range 1.2 to 9.6 g). Drug-induced AKI occurred in ten patients (1.2%). No association was found between the cumulative dose of vancomycin and drug-induced AKI (odds ratio (OR) 1.08 (95% credible interval (CrI) 0.52 to 2.14)). Additional doses of tobramycin were associated with a three-fold increase in the adjusted odds of drug-induced AKI (OR 3.66 (95% CrI 1.71 to 8.49)). Specifically, the risk of drug-induced AKI rose substantially after 4.8 g of tobramycin powder (7.5% (95% CrI 1.0 to 35.3)). Conclusion. Cumulative doses of vancomycin were not associated with an increased risk of drug-induced AKI among fracture patients. While the risk of drug-induced AKI remains less than 4% with three or fewer 1.2 g tobramycin doses, the estimated risk increases substantially to 8% after four cumulative doses. Level of evidence: Therapeutic Level III. Cite this article: Bone Jt Open 2022;3(4):284–290

Aims. Postoperative malalignment of the femur is one of the main complications in distal femur fractures. Few papers have investigated the impact of intraoperative malalignment on postoperative function and bone healing outcomes. The aim of this study was to investigate how intraoperative fracture malalignment affects postoperative bone healing and functional outcomes. Methods. In total, 140 patients were retrospectively identified from data obtained from a database of hospitals participating in a trauma research group. We divided them into two groups according to coronal plane malalignment of more than 5°: 108 had satisfactory fracture alignment (< 5°, group S), and 32 had unsatisfactory alignment (> 5°, group U). Patient characteristics and injury-related factors were recorded. We compared the rates of nonunion, implant failure, and reoperation as healing outcomes and Knee Society Score (KSS) at three, six, and 12 months as functional outcomes. We also performed a sub-analysis to assess the effect of fracture malalignment by plates and nails on postoperative outcomes. Results. The rates of nonunion and reoperation in group U were worse than those in group S (25.0% vs 14.3%; 15.6% vs 5.6%), but the differences were not significant (p = 0.180 and p = 0.126, respectively). Mean KSS in group U at all follow-up periods was significantly worse that in group S (75.7 (SD 18.8) vs 86.0 (SD 8.7); p < 0.001; 78.9 (SD 17.2) vs 89.1 (SD 9.8); p < 0.001; 85.0 (SD 11.9) vs 91.1 (SD 7.2); p = 0.002, respectively). In the sub-analysis of plates, mean KSS was significantly worse in group U at three and six months. In the sub-analysis of nails, the rate of reoperation was significantly higher in group U (28.6% vs 5.8%; p = 0.025), and mean KSS at six and 12 months was significantly worse in Group U. Conclusion. To obtain good postoperative functional results, intraoperative alignment of the coronal plane should be accurately restored to less than 5°. Cite this article: Bone Jt Open 2022;3(2):165–172

Aims. Deep surgical site infection (SSI) is common after lower limb fracture. We compared the diagnosis of deep SSI using alternative methods of data collection and examined the agreement of clinical photography and in-person clinical assessment by the Centers for Disease Control and Prevention (CDC) criteria after lower limb fracture surgery. Methods. Data from two large, UK-based multicentre randomized controlled major trauma trials investigating SSI and wound healing after surgical repair of open lower limb fractures that could not be primarily closed (UK WOLLF), and surgical incisions for fractures that were primarily closed (UK WHiST), were examined. Trial interventions were standard wound care management and negative pressure wound therapy after initial surgical debridement. Wound outcomes were collected from 30 days to six weeks. We compared the level of agreement between wound photography and clinical assessment of CDC-defined SSI. We are also assessed the level of agreement between blinded independent assessors of the photographs. Results. Rates of CDC-defined deep SSI were 7.6% (35/460) after open fracture and 6.3% (95/1519) after closed incisional repair. Photographs were obtained for 77% and 73% of WOLLF and WHiST cohorts respectively (all participants n = 1,478). Agreement between photographic-SSI and CDC-SSI was fair for open fracture wounds (83%; k = 0.27 (95% confidence interval (CI) 0.14 to 0.42)) and for closed incisional wounds (88%; k = 0.29 (95% CI 0.20 to 0.37)) although the rate of photographically detected deep SSIs was twice as high as CDC-SSI (12% vs 6%). Agreement between different assessors for photographic-SSI (WOLLF 88%, k = 0.63 (95% CI 0.52 to 0.72); WHiST 89%; k = 0.61 (95% CI 0.54 to 0.69)); and wound healing was good (WOLLF 90%; k = 0.80 (95% CI 0.73 to 0.86); WHiST 87%; k = 0.57 (95% CI 0.50 to 0.64)). Conclusion. Although wound photography was feasible within the research context and inter-rater assessor agreement substantial, digital photographs used in isolation overestimated deep SSI rates, when compared to CDC criteria. Wound photography should not replace clinical assessment in pragmatic trials but may be useful for screening purposes where surgical infection outcomes are paramount. Cite this article: Bone Joint J 2021;103-B(12):1802–1808

Aims. The impact of concomitant injuries in patients with proximal femoral fractures has rarely been studied. To date, the few studies published have been mostly single-centre research focusing on the influence of upper limb fractures. A retrospective cohort analysis was, therefore, conducted to identify the impact and distribution of concomitant injuries in patients with proximal femoral fractures. Methods. A retrospective, multicentre registry-based study was undertaken. Between 1 January 2016 and 31 December 2019, data for 24,919 patients from 100 hospitals were collected in the Registry for Geriatric Trauma. This information was queried and patient groups with and without concomitant injury were compared using linear and logistic regression models. In addition, we analyzed the influence of the different types of additional injuries. Results. A total of 22,602 patients met the inclusion criteria. The overall prevalence of a concomitant injury was 8.2% with a predominance of female patients (8.7% vs 6.9%; p < 0.001). Most common were fractures of the ipsilateral upper limb. Concomitant injuries resulted in prolonged time-to-surgery (by 3.4 hours (95 confidence interval (CI) 2.14 to 4.69)) and extended length of stay in hospital by 2.2 days (95% CI 1.74 to 2.61). Mortality during the admission was significantly higher in the concomitant injury group (7.4% vs 5.3%; p < 0.001). Additionally, walking ability and quality of life were reduced in these patients at discharge. More patients were discharged to a nursing home instead of their own home compared to patients without additional injuries (25.8% vs 30.3%; p < 0.001). Conclusion. With a prevalence of 8.2%, the appearance of a concomitant injury is common in elderly patients with hip fracture. These patients are at a greater risk for death during the admission, longer hospital stays, and delayed surgery. This knowledge is clinically important for all who are involved in the treatment of proximal femur fractures. Cite this article: Bone Joint J 2021;103-B(9):1526–1533

Aims. The primary aim of the survey was to map the current provision of simulation training within UK and Republic of Ireland (RoI) trauma and orthopaedic (T&O) specialist training programmes to inform future design of a simulation based-curriculum. The secondary aims were to characterize; the types of simulation offered to trainees by stage of training, the sources of funding for simulation, the barriers to providing simulation in training, and to measure current research activity assessing the educational impact of simulation. Methods. The development of the survey was a collaborative effort between the authors and the British Orthopaedic Association Simulation Group. The survey items were embedded in the Performance and Opportunity Dashboard, which annually audits quality in training across several domains on behalf of the Speciality Advisory Committee (SAC). The survey was sent via email to the 30 training programme directors in March 2019. Data were retrieved and analyzed at the Warwick Clinical Trials Unit, UK. Results. Overall, 28 of 30 programme directors completed the survey (93%). 82% of programmes had access to high-fidelity simulation facilities such as cadaveric laboratories. More than half (54%) had access to a non-technical skills simulation training. Less than half (43%) received centralized funding for simulation, a third relied on local funding such as the departmental budget, and there was a heavy reliance on industry sponsorship to partly or wholly fund simulation training (64%). Provision was higher in the mid-stages (ST3-5) compared to late-stages (ST6-8) of training, and was formally timetabled in 68% of prostgrammes. There was no assessment of the impact of simulation training using objective behavioural measures or real-world clinical outcomes. Conclusion. There is currently widespread, but variable, provision of simulation in T&O training in the UK and RoI, which is likely to expand further with the new curriculum. It is important that research activity into the impact of simulation training continues, to develop an evidence base to support investment in facilities and provision

Aims. This study reviews the past 30 years of research from the Canadian Orthopedic Trauma Society (COTS), to identify predictive factors that delay or accelerate the course of randomized controlled trials in orthopaedic trauma. Methods. We conducted a methodological review of all papers published through the Canadian Orthopaedic Trauma Society or its affiliates. Data abstracted included: year of publication; journal of publication; study type; number of study sites; sample size; and achievement of sample size goals. Information about the study timelines was also collected, including: the date of study proposal to COTS; date recruitment began; date recruitment ended; and date of publication. Results. In total, 22 studies have been published through the COTS working group, 13 of which are randomized controlled trials (RCTs). In total, 1,423 individual patients have been involved in COTS studies, a mean of 110 patients per trial (22 to 424). Each study was conducted across a mean of approximately six centres (1 to 11) and took nearly ten years (mean 119.9 months (59 to 188)) from presentation of concept to publication. The mean length of enrolment was 63 months (26 to 113) and the mean time from cessation of enrolment to publication 51 months (19 to 78). Regardless of sample size, the only factor associated with a decreased length of enrolment was a higher number of clinical sites (p = 0.041). Neither study sample size nor length of enrolment were associated with total time to publication. Conclusion. Over the last three decades, COTS has developed a multinational strategy to produce high-quality evidence in the field of orthopaedic trauma through 13 multicentre RCTs. Future efficiencies can be realized by recruitment of more clinical sites, improving connectivity between the sites, and the promotion of national streamlined ethics processes. Cite this article: Bone Joint J 2021;103-B(5):898–901