Aims. The aim of this study is to evaluate the change in incidence rate of shoulder arthroplasty, indications, and surgeon volume trends associated with these procedures between January 2003 and April 2021 in the province of Nova Scotia, Canada. Methods. A total of 1,545 patients between 2005 and 2021 were analyzed. Patients operated on between 2003 and 2004 were excluded due to a lack of electronic records. Overall, 84.1% of the surgeries (n = 1,299) were performed by two fellowship-trained upper limb surgeons, with the remainder performed by one of the 14 orthopaedic surgeons working in the province. Results. Total shoulder arthroplasty (TSA) was the most frequent procedure (32.17%; n = 497), followed by stemmed hemiarthroplasty (SHA) (27.7%; n = 428). The most frequent indication for primary shoulder arthroplasty was degenerative osteoarthritis (58.1%; n = 882), followed by acute proximal humerus fracture in 15.11% (n = 245), and rotator cuff arthropathy in 14.18% (n = 220). The overall rate of revision was 7.7% (2.8% to 11.2%). The number of TSAs and reverse shoulder arthroplasties (RSAs) has been increasing since 2016. The amount of revision cases is proportional to the number of operations performed in the same year throughout the study period. Conclusion. The incidence of shoulder arthroplasty in the Maritime Provinces has increased over the last 16 years. Revision rates are similar the those found in other large database registries. Reverse shoulder arthroplasty prevalence has increased since 2016. Cite this article: Bone Jt Open 2023;4(8):567–572

Aims. The aims of this study were to characterize the frequency of missing data in the National Surgical Quality Improvement Program (NSQIP) database and to determine how missing data can influence the results of studies dealing with elderly patients with a fracture of the hip. Patients and Methods. Patients who underwent surgery for a fracture of the hip between 2005 and 2013 were identified from the NSQIP database and the percentage of missing data was noted for demographics, comorbidities and laboratory values. These variables were tested for association with ‘any adverse event’ using multivariate regressions based on common ways of handling missing data. Results. A total of 26 066 patients were identified. The rate of missing data was up to 77.9% for many variables. Multivariate regressions comparing three methods of handling missing data found different risk factors for postoperative adverse events. Only seven of 35 identified risk factors (20%) were common to all three analyses. Conclusion. Missing data is an important issue in national database studies that researchers must consider when evaluating such investigations. Cite this article: Bone Joint J 2018;100-B:226–32

Little is known about the incidence of rotator cuff pathology or its demographic associations in the general population. We undertook a large epidemiological study of rotator cuff pathology in the United Kingdom using The Health Improvement Network (THIN) database. The incidence of rotator cuff pathology was 87 per 100 000 person-years. It was more common in women than in men (90 cases per 100 000 person-years in women and 83 per 100 000 person-years in men; p < 0.001). The highest incidence of 198 per 100 000 person-years was found in those aged between 55 and 59 years. The regional distribution of incidence demonstrated an even spread across 13 UK health authorities except Wales, where the incidence was significantly higher (122 per 100 000 person-years; p < 0.001). The lowest socioeconomic group had the highest incidence (98 per 100 000 person-years). The incidence has risen fourfold since 1987 and as of 2006 shows no signs of plateauing.

This study represents the largest general population study of rotator cuff pathology reported to date. The results obtained provide an enhanced appreciation of the epidemiology of rotator cuff pathology and may help to direct future upper limb orthopaedic services.

Cite this article: Bone Joint J 2014;96-B:350–3.

Introduction The value of collecting continuous prospective patient data, including operation records and outcome scores, is well known. In 1994, a systematic prospective patient data collection was initiated on all patients attending the Reading Shoulder Unit (RSU). Initially this was done with hand written records. In 1995 a Windows Access ® database was formulated on a portable laptop. This was used continuously through until September 2005 when an Internet web-based database was introduced. We present this collective data and trends in practice from a busy shoulder unit over this decade. Results Between 1995 and 2005, 10005 entries were made to the Reading Shoulder Unit database. 3233 patient visits to outpatient clinics were recorded. 6772 operations were recorded – this includes: arthroscopic decompressions (ASD) + AC joint excisions − 3514, MUA for frozen shoulder 842, shoulder arthroplasty 432, open stabilisation 356, arthroscopic stabilisation 192, arthroscopic rotator cuff repair (RCR) 402, open cuff repair 290, arthroscopic capsular release 78 and 248 trauma cases. Changes in the unit practice include the move from open to arthroscopic reconstructive surgery (RC and stabilisation), RCR rather than ASD alone in elderly patients with impingement and cuff weakness, and repairing partial rotator cuff tears when previously we did not. Conclusions With over 10000 continuous and prospective entries – the RSU database is invaluable for continuous audit of practice and assessment of outcomes of the different procedures. Several practices have changed through the decade; most notably from predominately open reconstructive surgery through to arthroscopic reconstructive surgery. We would recommend to every surgeon and unit to collect his own data prospectively to enable him to analyse and assess his results

Deep infection after THA is a devastating complication that implies major suffering for the patients and large costs for society. Reports from multiple national and regional registries show increasing incidence of deep infection. Is this a consequence of improved diagnostics, changed virulence of the causative organism, increased co-morbidity of the patients?. An open database will be setup and hosted by an existing, high quality registry. All possible variables including patient demographic, detailed surgical information, bacteria/fungus characteristics, antibiotic treatment, radiographic findings and follow-up for 3 years will be collected. The incoming data will be displayed on a dashboard with continuous analyses and statistics. Any individual surgeon or hospital can report data. A board with members from the International Hip Society and the International Society of Arthroplasty Registries will supervise the process and facilitate scientific analyses from collected data

Abstract. Objectives. Biomechanics is an essential form of measurement in the understanding of the development and progression of osteoarthritis (OA). However, the number of participants in biomechanical studies are often small and there is limited ways to share or combine data from across institutions or studies. This is essential for applying modern machine learning methods, where large, complex datasets can be used to identify patterns in the data. Using these data-driven approaches, it could be possible to better predict the optimal interventions for patients at an early stage, potentially avoiding pain and inappropriate surgery or rehabilitation. In this project we developed a prototype database platform for combining and sharing biomechanics datasets. The database includes methods for importing and standardising data and associated variables, to create a seamless, searchable combined dataset of both healthy and knee OA biomechanics. Methods. Data was curated through calls to members of the OATech Network+ (. https://www.oatechnetwork.org/. ). The requirements were 3D motion capture data from previous studies that related to analysing the biomechanics of knee OA, including participants with OA at any stage of progression plus healthy controls. As a minimum we required kinematic data of the lower limbs, plus associated kinetic data (i.e. ground reaction forces). Any additional, complementary data such as EMG could also be provided. Relevant ethical approvals had to be in place that allowed re-use of the data for other research purposes. The datasets were uploaded to a University hosted cloud platform. The database platform was developed using Javascript and hosted on a Windows server, located and managed within the department. Results. Three independent datasets were curated following the call to OATech Network+ members. These originated from separate studies collected from biomechanics labs at Cardiff University, Keele University, and Imperial College London. Participants with knee OA were at various stages of progression and all datasets included healthy controls. The total sample size of the three datasets is n=244, split approximately equally between healthy and knee OA participants. Naming conventions and formatting of the exported data varied greatly across datasets. Datasets were therefore formatted into a common format prior to upload, with guidelines developed for future contributions. Uploading data at the marker set level was too complicated for combination at the prototype stage. Therefore, processed variables relating to joint angles and joint moments were used. The resulting prototype database included an import function to align and standardise variables. A a simple query tool was further developed to extract outputs from the database, along with a suitable user interface for basic data exploration. Conclusion. Combining biomechanics dataset presents a wide range of challenges from both a technical and data governance context. Here we have taken the first steps to demonstrate a proof-of-concept that can combine heterogenous data from independent OA-related biomechanics studies into a combined, searchable resource. Expanding this in the future to a fully open access database will create an essential resource that will facilitate the application of data-driven models and analyses for better understanding, stratification and prediction of OA progression. Declaration of Interest. (b) declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported:I declare that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research project

Prosthetic joint infections (PJI) are one of the most devastating complications of joint replacement surgery. They are associated with significant patient morbidity and carry a significant economic cost to treat. The management of PJI varies from antibiotic suppression, debridement, antibiotics, and implant retention (DAIR) procedures through to single/multiple stage revision procedures. Concerns have been raised recently in relation to the rising number of revision arthroplasty procedures that are being undertaken in relation to infection. This database aims to collect data on all PJIs that have been managed in the Australian Capital Territory (ACT) region. This will allow us to investigate the microbial trends, outcomes of surgical intervention and patient outcomes within our local population. This database will incorporate diagnostic, demographic, microbiological and treatment information in relation to local PJI cases. The data will be collated from the local infectious diseases database, hospital medical records, and where available the Australian Orthopaedic Association National Joint Replacement Registry Data. The first 100 cases of PJI were assessed. 76% were defined as being acute. 56% of the patients received antibiotics prior to their diagnosis however only 3% were culture negative. 89% were monomicrobial and 11% polymicrobial. The intended management strategy was a DAIR in 38% of patients and a 2-stage revision in 12% of cases. The intended management strategy was successful in 46% of the patients. The ACT is uniquely placed to analyze and create a local PJI database. This will allow us to guide further treatment and local guidelines in terms of management of these complex patients

To create a comprehensive, user-friendly, database that facilitates selection of optimized animal models for fracture research. Preclinical testing using research animal models can expedite effective and safe interventions for clinical fracture patients but ethical considerations (e.g., adherence to 3R humane principles) and failure to meet critical review (e.g., clinical translation, reproducibility) currently complicate the model selection process. English language publications (1980-2021) were derived from PubMed® using the search-term ‘bone and fracture and animal’. Clinical cases, reviews, and cadaver studies were excluded. Qualifying papers reporting use of fracture models had the following data transcribed: Author, journal, abstract, summary data, animal data, bone, focus (e.g., allograft) and model (e.g., articular fracture). Publications were quantitatively scored (1 star [very poor] – 5 stars [excellent]) for reproducibility, clinical translation and animal welfare. 4602 papers were derived from 677 journals from 177 publishers. Number of annual publications progressively increased from 18 (1980), peaking in 2015 (250) before substantially declining in 2020 (121) and 2021 (51). Descriptors (low to high) included 15 species (frog [1]–rat [1586]), 24 bones (phalanx [1]–femur [1646]), 134 research foci (bioprinting [4]–fracture healing [3533]), and 37 fracture models (avulsion [4]–diaphyseal [2113]). Percent of total publications scoring 1 or more stars for reproducibility, clinical translation and animal welfare ranged from: 1.0–5.8% (1 star), 5.9–30.6% (2 star), 21.3–42.8% (3 star), 19.2–44.4% (4 stars), and 1.3–26.7% (5 stars). FRAMD provides a dedicated resource that enhances selection of animal models that pertain to researchers’ fracture focus while being clinically relevant, reproducible and humane. FRAMD will help improve scientific data, reduce unnecessary use of animals, heighten workplace efficiency, and reduce cost by avoiding ill-suited or outdated models. FRAMD may particularly benefit grant writers and organizations seeking ‘best-practice’ assurance (e.g., funding agencies, academic research societies, CROs)

Abstract. Introduction. Inter-prosthetic femoral fractures (IPFF) are fractures occurring between ipsilateral hip and knee implants or fixation devices. In 2020, the National Hip Fracture Database (NHFD) was extended to capture data from patients with peri-prosthetic femoral fractures (PPFF), including those specifically with IPFF. This study aims to describe the epidemiology and treatment of IPFF in England and Wales. Methodology. This population-based observational cohort study utilised open-access data available from the NHFD. Patients aged over 60, admitted to an acute hospital in England or Wales with an IPFF, within the period 1st January 2020 to 31st December 2020 were included. The primary outcome of this study was the incidence of IPFF in England and Wales. The secondary outcome was the treatment received. Results. Of 2606 patients admitted with PPFF, a total of 133 fractures occurred between ipsilateral hip and knee implants. Internal fixation was performed most frequently, in 87 cases. Revision arthroplasty was performed in 15 cases (hip n=10, knee n=5). A total of 20 patients were managed non-operatively, and three underwent primary arthroplasty (hip n=2, knee n=1). Conclusion. As the proportion of patients living with hip and knee implants continues to increase, it is expected that so too will the incidence of IPFF. This study is the first to estimate the incidence of IPFF in England and Wales. This is likely an underestimate of the true incidence and so we support calls for the prioritisation of further research into the epidemiology, prevention, and management of IPFF

The National Hip Fracture Database (NHFD) is a clinically led web based audit used to inform national policy guidelines. The aim of this audit was to establish the accuracy of completion of NHFD v13.0 theatre collection sheets, identify common pitfalls and areas of good practice, whilst raising awareness of the importance of accuracy of this data and the manner in which it reflects performance of CAH Trauma & Orthopaedic unit in relation to national guidelines. Our aim was to improve completion up to >80% by the operating surgeon and improve overall accuracy. The methodology within both cycles of the audit were identical. It involved reviewing the NHFD V13.0 completed by the operating surgeon and cross-checking their accuracy against clinical notes, operation notes, imaging, anaesthetic charts and A&E admission assessment. Following completion of cycle 1 these results were presented, and education surrounding V13.0 was provided, at the monthly trust audit meeting. At this point we introduced a sticker onto the pre-operative checklist for Hip fractures. This included time of admission and reason for delay. We then completed a re-audit. Cycle-1 included 25 operations, 56% (n=14) had a completed V13.0 form. Of these 21% (n=3) were deemed to be 100% accurate. Cycle-2 included 31 operations (between April – June 21) 81% (n=25) had a completed intra-operative from and showed an increase in accuracy to 56% (n=14). Through raising awareness, education and our interventions we have seen a significant improvement in the completion and accuracy of v13.0. Although 100% accuracy was not achieved its clear that education and intervention will improve compliance over time. Through the interventions that we have implemented we have shown that it is possible to improve completion and accuracy of the NHFD V13.0 theatre collection sheet locally and feel this could be implemented nationally

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

Abstract. Introduction. In 2020, the National Hip Fracture Database (NHFD) was extended to capture data from patients with periprosthetic femoral fractures (PPFF) with plans to include these patients in Best Practice Tarif. We aimed to describe the epidemiology of PPFF in England and Wales, with a particular focus on fractures occurring around the femoral component of knee prostheses. Methodology. This population-based observational cohort study utilised open-access data available from the NHFD. Patients aged over 60, admitted to an acute hospital in England or Wales with a PPFF, within the period 1st January 2020 to 31st December 2020 were included. The primary outcome was the incidence of PPFF in England and Wales. The secondary outcome was the treatment received. Results. We identified 2606 patients with PPFF from 135 hospitals. Of these, a total of 578 fractures occurred around the femoral component of a knee implant. These were classified as Vancouver A (epicondylar, n=77), B (involving implant/cement, n=166) and C (proximal to implant/cement, n=335). Internal fixation was the most employed treatment, used in 352 cases. Revision arthroplasty was performed in 80 cases, and 100 were managed non-operatively. Only 28% of operated PPFF went to theatre within 36 hours but nearly 90% had orthogeriatrician review within 72 hours. Conclusion. Eighty six percent of patients with PPFF were treated with non-revision surgery and would not be recorded in the National Joint Registry. In response, we support calls for the prioritisation of further research into the prevention and management of PPFF around the knee

Septic Arthritis (SA) is considered a surgical urgency/ emergency by physicians around the world. As our understanding grows, and improved diagnostic algorithms are developed, it has become apparent that competing interests in terms of accurately diagnosing concurrent osteomyelitis may supercede rapid surgical intervention when the imaging is timely. Nevertheless, even in cases of isolated SA, many patients will require repeat surgery. We aimed to assess factors which could predict this. A multicenter retrospective redcap database was created involving 20 pediatric centers from the CORTICES study group with the goal of better understanding pediatric musculoskeletal infection (PMSKI). All patients who met inclusion for the database were considered, surgeons for each site determined through imaging and chart review which patients met the diagnosis of isolated SA. Patients with concomitant abscesses or osteomyelitis were expressly excluded. Appropriate non parametric statistics were used to assess univariate significance. Multivariable logistic regression was used to assess clinical factors associated with an increased likelihood of more than one surgery. Receiver characteristics operating curve (ROC) analysis was used to determine optimal cutoffs to discriminate between children who required more than one surgery compared to those who required only one surgery. A probability algorithm was developed for the number of clinical factors present and the likelihood requiring more than one surgery following SA diagnosis. “Four hundred and fifty-four patients with isolated SA were analyzed from 20 US hospitals. Patients were 5.4 +/− 4.8 years old at admission, and the cohort was 56% male. Of the 454 patients, 47 (10.4%) needed more than one surgery. Bivariate comparisons across surgery groups found significant differences in minimum platelet count (pplatelet, a patient has a 0.3% reduction in the odds of needing more than one surgery (OR=.997; p=0.04). For each additional ten units of CRP, a patient has a 0.1% increase in the odds of needing more than one surgery (OR=1.001; p<0.001). Our predictive algorithm found that children with both risk factors had a 64% chance of requiring multiple surgeries. Higher CRP values and lower platelet values indicate more severe disease in isolated SA with a greater likelihood of repeat surgery. Higher CRP and lower platelet counts may portend multiple surgeries and caregivers of children with isolated SA should be advised as such

The National Hip Fracture Database (NHFD) started collecting data on peri-prosthetic femoral fractures (PPFF) in December 2019. We reviewed the data from the first year of data collection to describe the patients being admitted with PPFF and the care they received according to established Key Performance Indicators (KPIs) used in hip fracture surgery. We performed a retrospective review of the NHFD between 1 January and 31 December 2020. Analyses consisted of the summary statistics used to generate the NHFD annual report. Of the KPIs used in hip fracture, data were available for PPFF on time to assessment by a geriatrician (KPI 1), time to theatre (if applicable) (KPI 2), and mobilisation the day after surgery (if applicable) (KPI 4). There were 2,411 PPFF fractures around a hip or knee replacement reported out of a total of 2,606 PPFF. Of the 171 hospitals reporting data to the NHFD, 135 reported at least one. The median number of fractures per hospital was 14 (IQR 8, 25, range 1 to 110). The median age of patients was 84 (range 60 to 104) and 1,604 (67%) patients were female. Of the 1,850 occasions a time to geriatrician review was documented, review within 72 hours was achieved on 89.2% of occasions. Of the 1,973 patients who underwent operative interventions, 546 patients went to theatre before the 36-hour target (28.4%). Of patients who had surgery 1,323 (67.4%) were mobilised the following day. In the first year collecting data on PPFF we can give the first idea of the incidence of these life changing injuries. Whilst geriatrician review with 72 hours was achieved in a high proportion of cases nationally, our data suggest fewer patients are mobilised the day after surgery. Notably, only 28.4% of patients who were managed operatively went to theatre within 36 hours of admission. We provide the first insight into the incidence and management of these injuries

Aims. This study, using a surgeon-maintained database, aimed to explore the risk factors for surgery-related complications in patients undergoing primary cervical spine surgery for degenerative diseases. Methods. We studied 5,015 patients with degenerative cervical diseases who underwent primary cervical spine surgery from 2012 to 2018. We investigated the effects of diseases, surgical procedures, and patient demographics on surgery-related complications. As subcategories, the presence of cervical kyphosis ≥ 10°, the presence of ossification of the posterior longitudinal ligament (OPLL) with a canal-occupying ratio ≥ 50%, and foraminotomy were selected. The surgery-related complications examined were postoperative upper limb palsy (ULP) with a manual muscle test (MMT) grade of 0 to 2 or a reduction of two grade or more in the MMT, neurological deficit except ULP, dural tear, dural leakage, surgical-site infection (SSI), and postoperative haematoma. Multivariate logistic regression analysis was performed. Results. The significant risk factors (p < 0.050) for ULP were OPLL (odds ratio (OR) 1.88, 95% confidence interval (CI) 1.29 to 2.75), foraminotomy (OR 5.38, 95% CI 3.28 to 8.82), old age (per ten years, OR 1.18, 95% CI 1.03 to 1.36), anterior spinal fusion (OR 2.85, 95% CI 1.53 to 5.34), and the number of operated levels (OR 1.25, 95% CI 1.11 to 1.40). OPLL was also a risk factor for neurological deficit except ULP (OR 5.84, 95% CI 2.80 to 12.8), dural tear (OR 1.94, 95% CI 1.11 to 3.39), and dural leakage (OR 3.15, 95% CI 1.48 to 6.68). Among OPLL patients, dural tear and dural leakage were frequently observed in those with a canal-occupying ratio ≥ 50%. Cervical rheumatoid arthritis (RA) was a risk factor for SSI (OR 10.1, 95% CI 2.66 to 38.4). Conclusion. The high risk of ULP, neurological deficit except ULP, dural tear, and dural leak should be acknowledged by clinicians and OPLL patients, especially in those patients with a canal-occupying ratio ≥ 50%. Foraminotomy and RA were dominant risk factors for ULP and SSI, respectively. An awareness of these risks may help surgeons to avoid surgery-related complications in these conditions. Cite this article: Bone Joint J 2021;103-B(1):157–163

Aims. We present an audit comparing our level I major trauma centre’s data for a cohort of patients with hip fractures in the National Hip Fracture Database (NHFD) with locally held data on these patients. Patients and Methods. A total of 2036 records for episodes between July 2009 and June 2014 were reviewed. . Results. The demographics of nine patients were recorded incorrectly. The rate of incorrect data in operation codes was most significant with overall accuracy of 0.637 (95% CI 0.615 to 0.658). The sensitivity of NHFD coding ranged from 0.250 to 1.000 and the specificity 0.879 to 0.999. The recording of cementation had a sensitivity of 0.932 and specificity of 0.713. The recording of total hip arthroplasty had a sensitivity of 0.739 and specificity of 0.983. The overall accuracy of mortality data was 0.942 (95% CI 0.931 to 0.952), with sensitivity of 0.967 and specificity of 0.419. Conclusion. This paper highlights the need for local audit of the integrity of data uploaded to the NHFD. Cite this article: Bone Joint J 2016;98-B:1406–9

Aims. Although there is increasing legalization of the use of cannabis in the USA, few well-powered studies have evaluated the association between cannabis use disorder and outcomes following primary total hip arthroplasty (THA). Thus, the aim of this study was to determine whether patients who use cannabis and undergo primary THA have higher rates of in-hospital length of stay (LOS), medical complications, implant-related complications, and costs. Methods. Using an administrative database, patients with cannabis use disorder undergoing primary THA were matched to a control group in a 1:5 ratio by age, sex, and various medical comorbidities. This yielded 23,030 patients (3,842 in the study group matched with 19,188 in the control group). The variables which were studied included LOS, 90-day medical complications, two-year implant-related complications, and 90-day costs of care. Mann-Whitney U tests were used to compare LOS and costs. Multivariate logistic regression analyses were used to calculate the odds ratios (ORs) of developing complications. Results. We found that patients in the study group had a significantly longer mean LOS compared with the controls (four days vs three days; p < 0.0001).The study group also had a significantly higher incidence and odds of developing medical (23.0 vs 9.8%, OR 1.6; p < 0.0001) and implant-related complications (16 vs 7.4%, OR 1.6; p < 0.0001) and incurred significantly higher mean 90-day costs ($16,938.00 vs $16,023.00; p < 0.0001). Conclusion. With the increasing rates of cannabis use, these findings allow orthopaedic surgeons and other healthcare professionals to counsel patients with cannabis use disorder about the possible outcomes following their THA, with increased hospital stays, complications, and costs. Cite this article: Bone Joint J 2021;103-B(7 Supple B):111–115

We have a national UK database for hip fracture outcome. It has been developed synchronously with an agreed care pathway that is multi-disciplinary, including surgeons, anaesthetists, geriatricians, osteoporosis experts, healthcare managers and lay charities. Care has been improved and audit established for future evolution. The database started in 2007 and now includes 85 units. The synchronous care pathway deals with falls and osteoporosis prevention, perioperative multi-disciplinary care, rehabilitation and outcome results. Key issues are avoidance of delay and cancellation of surgery and how we deal with patients with medical co-morbidities. Outcome is analysed prospectively to take account of co-morbidities and variations in surgical techniques. The care pathway and data base are now universally accepted as a national priority with advice for all UK trauma units to participate. Of the 121 registered units, only 85 actively contribute data. The cost and staff needs for data input are now accepted. To date, 12,983 clinical cases have been entered. Variation of trauma theatre list operating time per head of population and other related resource has been highlighted. This has been accepted by politicians and health managers. The NHS Institute of Improvement has started a rapid improvement plan to support units with poor resource/audit outcome. It is early days in terms of validity of outcome data for technical variations in treatment eg. fixation/replacement/use of bone cement. We have a national increase in resouce for hip fractures. We now have some logic to interaction between surgeons and medics/managers. Objectively struggling units get active support. We accept the possible lack of validity of some outcome data. Some units who look bad on paper should not be disadvantaged

Introduction. In 2015, the healthcare system transitioned from International Classification of Diseases, Ninth Revision (ICD-9) coding to the Tenth Revision (ICD-10). Given that administrative claims are used for quality initiatives, risk adjustment models and clinical research, we sought to determine the effect of new, more detailed coding on the incidence of complications following primary total knee arthroplasty (TKA). Methods. The Humana administrative claims database was queried from 2-years prior to October 1, 2015 (ICD-9 cohort) and for 1-year after this date (ICD-10 cohort) to identify all primary TKA procedures. Each TKA was then tracked for occurrence of an arthroplasty specific post-operative complication within 6 months of surgery using the respective coding systems. Laterality and joint specific codes were utilized for the ICD-10 cohort to ensure complications occurred on the same side and joint as the index procedure. Incidence of each complication was compared between cohorts using risk ratios (RR) and 95% confidence intervals. Results. There were 19,009 TKAs in the ICD-10 cohort and 38,172 TKAs in the ICD-9 cohort. The incidence of each post-operative complication analyzed was significantly higher in the ICD-9 cohort relative to the ICD-10 cohort (Figure 1). Comparing ICD-9 cohort to ICD-10 cohort, PJI occurred in 1.9% vs 1.3% (RR 1.5), loosening in 0.3% vs 0.1% (RR 2.7), periprosthetic fracture in 0.3% vs 0.1% (RR 3.0) and other mechanical complications in 0.7% vs 0.4% (RR 2.0), respectively (p < 0.05 for all). These findings remained significant when subgroup analyses were performed to control for seasonal variation between groups. Conclusion. The transition from ICD-9 to ICD-10 coding has dramatically altered the reported incidence of complications following TKA. These results are likely due to the added complexity of ICD-10 which is joint and laterality specific. It is important to quantify and understand the differences between coding systems as this data is used for quality initiatives, risk adjustment models and clinical research. Thoughtful methodology will be necessary for future research if both ICD-9 and ICD-10 data are being analyzed simultaneously. Furthermore, additional studies are needed to compare the hospital billing data for complex diagnoses or revision procedures to coding performed by skilled researchers in the field. For figures, tables, or references, please contact authors directly

Total hip replacements (THRs) provide pain relief and improved function to thousands of patients suffering from end-stage osteoarthritis, every year. Over 800 different THR constructs were implanted in the UK in 2017. To ensure reliable implants are used, a NICE revision benchmark of 5% after 10 years exists. Given the 10-year cumulative mortality of patients under 55 years of age receiving THRs is only 5% and that a recent study suggests 25-year THR survival of 58%, we aim to produce revision estimates out to 30 years that may guide future long-term benchmarks. The local database of the Princess Elizabeth Orthopaedic Centre (PEOC), Exeter, holds data on over 20,000 patients with nearly 30-years follow-up with contemporary prostheses. A previous study suggests that the results of this centre are generalisable if comparisons restricted to the same prostheses. Via flexible parametric survival analysis, we created an algorithm using this database, for revision of any part of the construct for any reason, controlling for age and gender. This algorithm was applied to 664,761 patients in the NJR who have undergone THR, producing a revision prediction for patients with the same prostheses as those used at this centre. Using our algorithm, the 10-year predicted revision rate of THRs in the NJR was 2.2% (95% CI 1.8, 2.7) based on a 68-year-old female patient; well below the current NICE benchmark. Our predictions were validated by comparison to the maximum observed survival in the NJR (14.2 years) using restricted mean survival time (P=0.32). Our predicted cumulative revision estimate after 30 years is 6.5% (95% CI 4.5, 9.4). The low observed and predicted revision rate with the prosthesis combinations studied, suggest current benchmarks may be lowered and new ones introduced at 15 and 20 years to encourage the use of prostheses with high survival