Aims. The aim of this study was to compare the preinjury functional scores with the postinjury preoperative score and postoperative outcome scores following anterior cruciate ligament (ACL) reconstruction surgery (ACLR). Methods. We performed a prospective study on patients who underwent primary ACLR by a single surgeon at a single centre between October 2010 and January 2018. Preoperative preinjury scores were collected at time of first assessment after the index injury. Preoperative (pre- and post-injury), one-year, and two-year postoperative functional outcomes were assessed by using the Knee injury and Osteoarthritis Outcome Score (KOOS), Lysholm Knee Score, and Tegner Activity Scale. Results. We enrolled 308 males and 263 females of mean age 27 years (19 to 46). The mean preinjury and preoperative post-injury Lysholm Knee Scores were 94 (73 to 100) and 63 (25 to 85), respectively, while the respective mean scores at one and two years postoperatively were 84 (71 to 100) and 89 (71 to 100; p < 0.001). The mean Tegner preinjury and preoperative post-injury scores were 7 (3 to 9) and 3 (0 to 6), respectively, while the respective mean scores at one and two years postoperatively were 6 (1 to 8) and 6 (1 to 9) (p < 0.001). The mean KOOS scores at preinjury versus two years postoperatively were: symptoms (96 vs 84); pain (94 vs 87); activities of daily living (97 vs 91), sports and recreation function (84 vs 71), and quality of life (82 vs 69), respectively (p < 0.001). Conclusion. Functional scores improved following ACLR surgery at two years in comparison to preoperative post-injury scores. However, at two-year follow-up, the majority of patients failed to achieve their preinjury scores. The evaluation of ACLR outcomes needs to consider the preinjury scores rather than the immediate preoperative score that is usually collected. Cite this article: Bone Jt Open 2023;4(1):46–52

Background. Masses are not uncommon in the foot and ankle. Most of these masses are benign, often leading clinicians to underestimate their potential for malignancy. Methods. We conducted a retrospective review of our clinical records, on patients with histologically confirmed musculoskeletal tumours of the foot and ankle, treated in a single nstitution between 2010 and 2019. The maximum diameter of each lesion was determined through MRI or Ultrasound analysis in centimeters. To develop a scoring system we compared the risk of malignancy with five criteria: site (proximal or distal to the first TMTJ), gender, age, composition and the diameter as observed. Results. Our study included 496 patients, of whom 39 (7.9%) were identified as having malignancies. The incidence of malignancy demonstrated an increased propensity among male patients, patients over 50 years of age and lesions located proximal to the TMTJ. A ROC Analysis determined that lesions measuring over 2.85 cm had an increased risk of malignancy, with a PPV of 31.1%, a NPV of 94.2%, a Sensitivity of 0.82, and a Specificity of 0.62. These identified patterns of risk were employed to formulate a scoring system, aimed at facilitating informed clinical judgment in the referral of patients to regional tumor services. Conclusion. The new OxFAT scoring system highlights the importance of lesion size, site, age and gender of the patient in determining the risk of malignancy in lump in the foot and ankle. We propose this new scoring system to aid health care professionals in managing these patients. Based on our results any patient with a foot or ankle mass of less than 2.85cm, an OxFAT score < 4/7 and no malignant or sinister features on MRI or USS can be managed locally with excision biopsy. All other patients should be referred urgently to a Regional Tumour Service

Aims. The metabolic equivalent of task (MET) score examines patient performance in relation to energy expenditure before and after knee arthroplasty. This study assesses its use in a knee arthroplasty population in comparison with the widely used Oxford Knee Score (OKS) and EuroQol five-dimension index (EQ-5D), which are reported to be limited by ceiling effects. Methods. A total of 116 patients with OKS, EQ-5D, and MET scores before, and at least six months following, unilateral primary knee arthroplasty were identified from a database. Procedures were performed by a single surgeon between 2014 and 2019 consecutively. Scores were analyzed for normality, skewness, kurtosis, and the presence of ceiling/floor effects. Concurrent validity between the MET score, OKS, and EQ-5D was assessed using Spearman’s rank. Results. Postoperatively the OKS and EQ-5D demonstrated negative skews in distribution, with high kurtosis at six months and one year. The OKS demonstrated a ceiling effect at one year (15.7%) postoperatively. The EQ-5D demonstrated a ceiling effect at six months (30.2%) and one year (39.8%) postoperatively. The MET score did not demonstrate a skewed distribution or ceiling effect either at six months or one year postoperatively. Weak-moderate correlations were noted between the MET score and conventional scores at six months and one year postoperatively. Conclusion. In contrast to the OKS and EQ-5D, the MET score was normally distributed postoperatively with no ceiling effect. It is worth consideration as an arthroplasty outcome measure, particularly for patients with high expectations. Cite this article: Bone Jt Open 2023;4(3):129–137

Abstract. Patient Reported Outcome Measures (PROMs) can be completed using paper and postal services (pPROMS) or via computer, tablet or smartphone (ePROMs). We have investigated whether there are differences in scores depending on the method of PROMs acquisition for the Oxford Knee (OKS) and the EQ-5D scores, at one and two years post operatively. Patient demographics, mode of preferred data collection and pre-and post-operative PROMs for Total Knee Replacements (TKRs) performed between 1st January 2018 and 31st December 2018 were collected. During the study period, 1573 patients underwent TKRs. The average OHS and EQ-5D pre-operatively scores was 19.47 and 0.40 respectively. 71.46% opted to undertake post-operative questionnaires using ePROMs. The remaining 28.54% opted for pPROMS. The one and two-year OHS for ePROMS patients increased to 37.64 and 39.76 while the OHS scores for pPROMS patients were 35.71 and 36.83. At the one and two-year post-operative time intervals, a Mann-Whitney test showed statistical significance between the modes of administration for OHS (P-Value = 0.044 and 0.01 respectively). The one and two-year EQ-5D for ePROMS patients increased to 0.76 and 0.78 while the EQ-5D scores for pPROMS patients were 0.73 and 0.76. The P-Value for Mann-Whitney tests comparing the modes of administration for EQ-5D were 0.04 and 0.07 respectively. There is no agreed mode of PROMs data acquisition for the OKS and EQ-5D Scores. While we have demonstrated an apparent difference in scores depending on the mode of administration, further work is required to establish the influence of potentially confounding factors

Disease specific or generic Patient Reported Outcome Measures (PROMs) can be completed by patients using paper and postal services (pPROMS) or via computer, tablet or smartphone (ePROMs) or by hybrid data collection, which uses both paper and electronic questionnaires. We have investigated whether there are differences in scores depending on the method of PROMs acquisition for the Oxford Hip Score (OHS) and the EQ-5D scores, at one and two years post operatively. Patients for this study were identified retrospectively from a prospectively compiled arthroplasty database held at the study centre. Patient demographics, mode of preferred data collection and pre- and post-operative PROMs for Total Hip Replacements (THRs) performed at this centre between 1. st. January 2018 and 31. st. December 2018 were collected. During the study period, 1494 patients underwent THRs and had complete one and two-year PROMs data available for analysis. All pre-operative scores were obtained by pPROMS. The average OHS and EQ-5D pre-operatively scores were 19.51 and 0.36 respectively. 72.02% of the patients consented to undertake post-operative questionnaires using ePROMs. The remaining 27.98% opted for pPROMS. The one and two-year OHS for ePROMS patients increased to 41.31 and 42.14 while the OHS scores for pPROMS patients were 39.80 and 39.83. At the one and two-year post-operative time intervals, a Mann-Whitney test showed statistical significance between the modes of administration for OHS (P-Value =0.044 and 0.01 respectively). The one and two-year EQ-5D for ePROMS patients increased to 0.83 and 0.84 while the EQ-5D scores for pPROMS patients were 0.79 and 0.81. The P-Value for Mann-Whitney tests comparing the modes of administration for EQ-5D were 0.13 and 0.07 respectively. Within Orthopaedics, PROMs have become the most widely used instrument to assess patients’ subjective outcomes. However, there is no agreed mode of PROMs data acquisition. While we have demonstrated an apparent difference in scores depending on the mode of administration, further work is required to establish the influence of potentially confounding factors such as patient age, gender and familiarity with computer technology

Aims. This study investigates the use of the metabolic equivalent of task (MET) score in a young hip arthroplasty population, and its ability to capture additional benefit beyond the ceiling effect of conventional patient-reported outcome measures. Methods. From our electronic database of 751 hip arthroplasty procedures, 221 patients were included. Patients were excluded if they had revision surgery, an alternative hip procedure, or incomplete data either preoperatively or at one-year follow-up. Included patients had a mean age of 59.4 years (SD 11.3) and 54.3% were male, incorporating 117 primary total hip and 104 hip resurfacing arthroplasty operations. Oxford Hip Score (OHS), EuroQol five-dimension questionnaire (EQ-5D), and the MET were recorded preoperatively and at one-year follow-up. The distribution was examined reporting the presence of ceiling and floor effects. Validity was assessed correlating the MET with the other scores using Spearman’s rank correlation coefficient and determining responsiveness. A subgroup of 93 patients scoring 48/48 on the OHS were analyzed by age, sex, BMI, and preoperative MET using the other metrics to determine if differences could be established despite scoring identically on the OHS. Results. Postoperatively the OHS and EQ-5D demonstrate considerable negatively skewed distributions with ceiling effects of 41.6% and 53.8%, respectively. The MET was normally distributed postoperatively with no relevant ceiling effect. Weak-to-moderate significant correlations were found between the MET and the other two metrics. In the 48/48 subgroup, no differences were found comparing groups with the EQ-5D, however significantly higher mean MET scores were demonstrated for patients aged < 60 years (12.7 (SD 4.7) vs 10.6 (SD 2.4), p = 0.008), male patients (12.5 (SD 4.5) vs 10.8 (SD 2.8), p = 0.024), and those with preoperative MET scores > 6 (12.6 (SD 4.2) vs 11.0 (SD 3.3), p = 0.040). Conclusion. The MET is normally distributed in patients following hip arthroplasty, recording levels of activity which are undetectable using the OHS. Cite this article: Bone Joint Res 2022;11(5):317–326

Introduction. Patient reported outcome measures (PROMs) are recognized as crucial in evaluating the outcome of total knee arthroplasty (TKA). New Knee Society Score (NKSS), introduced in 2011, is reported to be an effective, such outcome measure. Forgotten Joint score (FJS), introduced in 2012, has been validated but has only a few studies in literature reporting upon it. In a normal population without arthritis, the FJS is reported to be between 50–95, a higher score representing better status. Our aim was to determine 1) the FJS at 1-year post TKA, distributing patients in 2 groups of FJS less than/more than 50; assessing its ceiling and floor effect 2) the influence of age, sex, BMI, diabetes, thyroid, type of deformity, pre/post-operative flexion and 3) to compare and correlate FJS with NKSS and its sub-scores - Objective knee score(OKS) and Subjective knee score(SKS). Methods. We enrolled 181 patients (222 knees), who had primary TKA performed by the same surgeon at Lilavati Hospital & Research Centre, Mumbai, between June 2016 to February 2017. NKSS was administered to each patient preoperatively. At 1 year, they were prospectively called for review and NKSS and FJS were administered. 151 patients attended the review clinic and 17 patients completed the forms with the help of their physiotherapist and sent them via email. 13 patients who could not do either, were excluded from the study. Thus, we had 168 patients (207 knees) whose complete data was analyzed. Of 168 patients, 37 were males and 131 were females, with an average age of 67 years (37–85). Patients were divided into two groups based on their FJS score - Group A (FJS<50) and Group B (FJS≥50). The demographics and NKSS in both groups were compared. The study was approved by our Institutional Review Board. Statistical analysis was done using SPSS software. Raw data statistics for FJS was determined and unpaired t-test used to compare all parameters in Groups A and B. Correlation of NKSS to FJS was analyzed using Pearson's correlation test. Results. 1). FJS at 1 year: The median FJS at 1 year was 68.8 (IQR 41.7, mean 68, SD 25.3, range 0–100). It exhibited a 14% ceiling and 0.5% floor effect. There were 49 (24%) TKAs in Group A and 158 (76%) TKAs in Group B. 2). Comparison of parameters of age, sex, BMI, diabetes, thyroid disorder, type and severity of deformity and pre/post-operative flexion between the two groups showed no difference (unpaired t-test p>0.05) for each parameter, with the numbers available. 3).  . In Group A, the median values of NKSS, OKS and SKS were 174, 94 and 87 respectively as compared to the corresponding median values of 198, 98 and 100 in Group B. The difference in their corresponding values was seen to be significant (p<0.005). For both groups, the change in scores from preoperative to postoperative values was significant for NKSS (median of 73 vs 69, p=0.003) & SKS (median of 39 vs 30, p=0.006) but not for OKS (median of 47 vs 46, p=0.655). Correlation of the FJS to NKSS at 1 year was seen to be significant (p<0.005), the strength of correlation was found to be moderate (r=0.43). Each sub-score also showed significant correlation (p<0.005), which was weak to moderate (r=0.32 to 0.43). Conclusion. Mean FJS at 1-year post TKA was 68 which compares well with a mean of 72 reported in the normal population without arthritis. It exhibited 14% ceiling and 0.5% floor effects. FJS was not influenced by age, sex, BMI, co-morbidities, type/extent of deformity or pre/post-operative flexion range. Patients with higher FJS also had higher NKSS and higher OKS/SKS values but change in scores was significant only for NKSS & SKS. We observed a moderately positive correlation of FJS with NKSS at 1 year

Aims. The aim of this study was to develop and evaluate machine-learning-based computerized adaptive tests (CATs) for the Oxford Hip Score (OHS), Oxford Knee Score (OKS), Oxford Shoulder Score (OSS), and the Oxford Elbow Score (OES) and its subscales. Methods. We developed CAT algorithms for the OHS, OKS, OSS, overall OES, and each of the OES subscales, using responses to the full-length questionnaires and a machine-learning technique called regression tree learning. The algorithms were evaluated through a series of simulation studies, in which they aimed to predict respondents’ full-length questionnaire scores from only a selection of their item responses. In each case, the total number of items used by the CAT algorithm was recorded and CAT scores were compared to full-length questionnaire scores by mean, SD, score distribution plots, Pearson’s correlation coefficient, intraclass correlation (ICC), and the Bland-Altman method. Differences between CAT scores and full-length questionnaire scores were contextualized through comparison to the instruments’ minimal clinically important difference (MCID). Results. The CAT algorithms accurately estimated 12-item questionnaire scores from between four and nine items. Scores followed a very similar distribution between CAT and full-length assessments, with the mean score difference ranging from 0.03 to 0.26 out of 48 points. Pearson’s correlation coefficient and ICC were 0.98 for each 12-item scale and 0.95 or higher for the OES subscales. In over 95% of cases, a patient’s CAT score was within five points of the full-length questionnaire score for each 12-item questionnaire. Conclusion. Oxford Hip Score, Oxford Knee Score, Oxford Shoulder Score, and Oxford Elbow Score (including separate subscale scores) CATs all markedly reduce the burden of items to be completed without sacrificing score accuracy. Cite this article: Bone Jt Open 2022;3(10):786–794

Background. The Fracture Fixation Assessment Tool score (FFATs) was developed as an objective evaluation of post-operative fracture fixation radiographs as a means of appraisal and education. The tool has proven validity, simple to use and based upon AO principles of fracture fixation. This study has been designed to assess how FFATs changes throughout the training program in the UK. Methods. The local trauma database of a district general hospital, with trauma unit status was used to identify cases. Although FFATs is designed to apply to any fracture fixation, Weber B ankle fractures were selected as common injuries, which constitute indicative cases in T&O training. Grade of the primary surgeon and supervision level were both stratified. The initial and intraoperative radiographs were anonymised and presented to the assessor who had been blinded to the identity and grade of the surgeon, for scoring using FFATs. Results. 293 fractures around the ankle were identified from the Database between 2013 and 2016. After applying the inclusion criteria of Weber B fractures operatively fixed, Specialist training registrars and consultants, there were 99 cases for evaluation. These were grouped by training experience into 4 groups. (ST3-4, ST5-6, ST7-8, Consultants) and demonstrated a trend of increasing scores with experience level with a dip in consultant scores, albeit not statistically significant due to low numbers of cases at higher training grades. Conclusions. We present our first experience of using FFATs in a uniform series of fractures in surgeons of different training grades. There is a trend to increasing scores throughout training with a dip in consultant scores likely reflecting increased complexity of cases. Implications. FFATs could prove to be an invaluable appraisal tool for teaching and mentoring surgeons in training both locally in the United Kingdom and remotely overseas

This study aims to correlate Oxford shoulder score (OSS) to EQ5D score in healthy patients presenting to a shoulder clinic with shoulder pain. OSS and EQ5D scores were collected prospectively from 101 consecutive patients presenting with shoulder pain in a shoulder clinic at one specialist centre. Patients with ASA > 2 and other significant joint arthritis were excluded from the study. Scores were collected from electronic patient records. Spearman's rho correlation of oxford shoulder scores and EQ5D scores was completed. Mean age of subjects was 51.8 (range 19.1–81.9) years, 55 of 101 subjects were men (54%). Median OSS was 26 (range 3–48) and median EQ5D score was 0.76 (range 0–0.76). Correlation for all patients was 0.624 (Sig p<0.001). This study demonstrates a strong correlation between Oxford shoulder scoring and EQ5D in a fit and well shoulder surgery clinic population. It is possible that Oxford shoulder scores may be a useful indicator of quality of life in healthy shoulder clinic patients presenting with shoulder pain

Introduction. Patient satisfaction after total hip arthroplasty (THA) has been reported to be significantly better than after total knee arthroplasty (TKA). The same has been observed for the capacity to forget during daily life activities about the operated joint. Recently a new patient reported outcome score, the Forgotten Joint Score (FJS-12) a twelve item questionaire, has been used to evaluate postoperative outcome in joint arthroplasty. A better FJS-12 score was measured in THA than in TKA objectivating the intuitive feeling that the joint was more forgotten in THA than in TKA. Hypothesis. A higher preoperative FJS-12 score is the reason for a higher postoperative FJS-12 score in THA compared to TKA. Materials and methods. FJS-12 scores were prospectively collected in 75 THA and 75 TKA preoperatively and one year postoperative. Patients were stratified according to age and BMI. Effect size of treatment was calculated using the FJS-12. Results. No preoperative difference in mean (SD) FJS-12 was observed for THA (24(17) versus TKA (22(15)). The mean (SD) postoperative FJS-12 was significantly higher for THA (79(25)) than for TKA (73(22)). Effect size of treatment was 3.4 for TKA and 3.2 for THA. Mean (SD) for men in THA (89(25)) was significantly higher than for men in TKA (74(22)). Discussion. Postoperative differences in forgotten joint feeling after THA compared to TKA can not be explained by a preoperative difference. TKA is an effective surgery as measured by the effect size of treatment. Male TKA patients have worst outcome than male THA patients. This can probably be explained by mechanical or proprioceptive differences in between both types of arthroplasty

Aims. The Forgotten Joint Score-12 (FJS-12) is a validated patient-reported outcome measure (PROM) tool designed to assess artificial prosthesis awareness during daily activities following total hip arthroplasty (THA). The patient-acceptable symptom state (PASS) is the minimum cut-off value that corresponds to a patient’s satisfactory state-of-health. Despite the validity and reliability of the FJS-12 having been previously demonstrated, the PASS has yet to be clearly defined. This study aims to define the PASS of the FJS-12 following primary THA. Methods. We retrospectively reviewed all patients who underwent primary elective THA from 2019 to 2020, and answered both the FJS-12 and the Hip Disability and Osteoarthritis Outcome Score, Joint Replacement (HOOS, JR) questionnaires one-year postoperatively. HOOS, JR score was used as the anchor to estimate the PASS of FJS-12. Two statistical methods were employed: the receiver operating characteristic (ROC) curve point, which maximized the Youden index; and 75th percentile of the cumulative percentage curve of patients who had the HOOS, JR score difference larger than the cut-off value. Results. This study included 780 patients. The mean one-year FJS-12 score was 65.42 (SD 28.59). The mean one-year HOOS, JR score was 82.70 (SD 16.57). A high positive correlation between FJS-12 and HOOS, JR was found (r = 0.74; p<0.001), making the HOOS, JR a valid external anchor. The threshold score of the FJS-12 that maximized the sensitivity and specificity for detecting a PASS was 66.68 (area under the curve = 0.8). The cut-off score value computed with the 75th percentile approach was 92.20. Conclusion. The PASS threshold for the FJS-12 at one year following primary THA was 66.68 and 92.20 using the ROC curve and 75th percentile approaches, respectively. These values can be used to achieve consensus about meaningful postoperative improvement to maximize the utility of the FJS-12 to evaluate and counsel patients undergoing THA. Cite this article: Bone Jt Open 2022;3(4):307–313

There is no consensus on how to evaluate and grade pin site infection. A precise, objective and reliable pin site infectious score is warranted. The literature was reviewed for pin site infection classification systems, The Modified Gordon Score (MGS) grade 0-6 was used. The aim was to test the reliability of The Modified Gordon Infection Score. The observed agreement and inter-rater reliability were investigated between nurse and doctors. MGS was performed in the outpatient clinic at Aalborg University Hospital, Denmark on 1472 pin sites in 119 patients by one nurse and one of three orthopaedic surgeons blinded to each other's judgement. The data was stored in a Red Cap Database for further statistical analysis. The observed agreement between the nurse and the 3 orthopaedic surgeons was evaluated with a one-way random-effect model with interclass correlation with absolute agreement. Furthermore the observed agreement for each of the 3 surgeons with the nurse was calculated. The distribution of MGS infection grade in the 1472 pin sites was: Grade 0; n=1372, Grade 1; n=32, Grade 2; n=39, Grade 3; n=24, Grade 4; n=5, Grade 5; n=0, Grade 6; n=0. The observed agreement between the nurse and the surgeons was calculated as 98%. The ICC estimated between nurse and the surgeons was 0,8943 (ICC >0,85 = reliable). The grading was done by three different doctors with an agreement with the nurse as follows. Rater1 (n=416) =99,5 %, Rater2 (n=1440) =97,4%, Rater3 (n=1440) =96,6%. A limitation to this study is that the dataset represents mostly clean pin sites with MGS 0. Only 100 pin sites had signs of superficial infection MGS 1-4 none above 4. We found that the MGS infection score is highly reliable for low grade infections but we cannot conclude on reliability in severe infections

Objective: The purpose of this study was to determine how changes in functional shoulder score (Constant Score) affected the values of the SF-36 score, to determine the amount of functional score change to be considered relevant. Material and Method: 427 patients were included. All of them were assessed with a functional shoulder score (Constant Score) and fulfilled SF-36 score. Mean age was of 50,61(18–85), 200 of them were male and 227 female. 280 were considered to be active while 147 were retired as far as working status is concerned. There were 191 patients with university studies and 236 with primary studies. Primary diagnosis was cuff disorders in 265 patients, old-fracture in 43, degenerative in 72 and instability in 34. Correlations were performed with Spearman’s rho and regression models were evaluated. Results: There was a moderate but significant correlation between the total Constant Score and PF_NORM (0,511) and US standardized physical component (US STPH) (0,491) of the SF-36. For every point of increase in the Constant score the SF-36 increases 0,235 points. Looking into the different items of the Constant Score, Activities of daily living (ADL) and strength presented the stronger correlation with SF-36 (0,428, 0,411). In the regression model, every point of increase of pain, ADL, forward elevation, external rotation and internal rotation means an increase of 0,472, 0,39, 0,84, 0,82 and 0,86 of the US STPH of the SF-36. Conclusions: Whenever the outcome of any shoulder treatment is analyzed it has to be taken into account that for every point of increase of the Total Constant Score just 0,235 points of the US SPTH of the SF-36 increase. Depending on the mean value of the US SPTH of the SF-36 of the population studied, the relevant increase of Constant Score can be calculated. Mobility improvements seem to have more influence that pain changes as far as increasing the US SPTH of the SF-36 is concerned

To develop a reliable and effective radiological score to assess the healing of isolated ulnar shaft fractures (IUSF), the Radiographic Union Score for Ulna fractures (RUSU). Initially, 20 patients with radiographs six weeks following a non-operatively managed ulnar shaft fracture were selected and scored by three blinded observers. After intraclass correlation (ICC) analysis, a second group of 54 patients with radiographs six weeks after injury (18 who developed a nonunion and 36 who united) were scored by the same observers. In the initial study, interobserver and intraobserver ICC were 0.89 and 0.93, respectively. In the validation study the interobserver ICC was 0.85. The median score for patients who united was significantly higher than those who developed a nonunion (11 vs 7, p<0.001). A ROC curve demonstrated that a RUSU ≤8 had a sensitivity of 88.9% and specificity of 86.1% in identifying patients at risk of nonunion. Patients with a RUSU ≤8 (n = 21) were more likely to develop a nonunion (n = 16/21) than those with a RUSU ≥9 (n = 2/33; OR 49.6, 95% CI 8.6–284.7). Based on a PPV of 76%, if all patients with a RUSU ≤8 underwent fixation at 6-weeks, the number of procedures needed to avoid one nonunion would be 1.3. The RUSU shows good interobserver and intraobserver reliability and is effective in identifying patients at risk of nonunion six weeks after fracture. This tool requires external validation but may enhance the management of patients with isolated ulnar shaft fractures

Introduction and Aims: The clinical studies of knee disorders utilise patients’ activity levels to measure issues that are really important to the patients. Knowing the large variations among patients in terms of the frequency and intensity of sports participation and frustrated by the lack of relevance and specificity of current questionnaires to the Australian public, the authors have devised their own. Method: The new questionnaire was sent to all members of the Australian Knee Society in an attempt to formulate a consensus view that could then be sent for reliablility and validity testing. The score is represented by two numbers. The first one represents the activity performed and the second, the level at which it was played. These scores are multiplied to give a variable score ranging from one to 20. Results: An 80% response rate was achieved. Of those that responded, 30.5% agreed completely with the questionnaire as it stood, 69.5% agreed with few modifications, and none disagreed. Conclusion: A rating of activity level is critical for studies comparing two treatments to ensure that the patient groups are equivalent. We believe that the new Wood-ford activity level scale is fast, easy to use and will facilitate a more accurate comparision among patients with knee injuries in sports medicine. It is easily transferred between different countries and their common sports

Patient reported outcome measures (PROMs) after total knee arthroplasty (TKA) are typically used to assess longitudinal change in pain and function after total knee arthroplasty (TKA). The Patient's Knee Implant Performance (PKIP) score was developed to evaluate outcomes more broadly including function, stability, confidence, and satisfaction. Although validated in patients having a primary TKA, the PKIP has not been evaluated as an outcome measure for patients having revision TKA. This study examined patient outcomes at one year following primary and revision TKA measured using the PKIP, compared to Oxford Knee Scores. A retrospective analysis of pre-operative and one-year post-operative outcomes was completed for 39 patients (21 female) who had primary (n=27) or revision (n=12) TKA with a single surgeon between 2017 and 2020. The mean age was 69.2±7.4 years, and mean weight 87.4± 5.1kg. The change over time and correlation between the self-reported outcome measures was evaluated. There was a significant improvement in the PKIP overall score at the 12-month follow-up (32± 13 v 69± 15, p= <0.001), with no significant difference between groups (3.3 points, p=0.50). Among the PKIP sub-scores, there was a significant improvement in knee confidence (3.5±2 vs 7.7±2; p<0.001), stability (3.4±2 vs 7.4±3; p<0.001) and satisfaction (2.5±1.7 vs 6.6±3, p<0.001). Between group differences in PKIP sub-scores one year after surgery were small and non-significant. For all patients, the OKS and PKIP scores were moderately correlated before surgery (r=0.64, p=<0.05), and at 1 year after surgery (r=0.61, p= <0.001). Significant improvements in knee confidence, stability, and satisfaction one year after TKA were identified from the PKIP responses, with no significant difference between primary and revision surgery. The moderate correlation with the OKS suggests these questionnaires measure difference constructs and may provide complementary outcome information in this patient cohort

Utility score is a preference-based measure of general health state – where 0 is equal to death, and 1 is equal to perfect health. To understand a patient's smallest perceptible change in utility score, the minimal clinically important difference (MCID) can be calculated. However, there are multiple methods to calculate MCID with no consensus about which method is most appropriate. The aim of this study is to calculate MCID values for the Veterans-RAND 12 (VR12) utility score using varying methods. Our hypothesis is that different methods will yield different MCID values. A tertiary institutional registry (SMART) was used as the study cohort. Patients who underwent unilateral TKA for osteoarthritis from January 2012 to January 2020 were included. Utility score was calculated from VR12 responses using the standardised Brazier's method. Distribution and anchor methods were used for the MCID calculation. For distribution methods, 0.5 standard deviations of the baseline and change scores were used. For anchor methods, the physical and emotional anchor questions in the VR12 survey were used to benchmark utility score outcomes. Anchor methods included mean difference in change score, mean difference in 12 month score, and receiver operating characteristics (ROC) analysis with the Youden index. Complete case analysis of 1735 out of 1809 eligible patients was performed. Significant variation in the MCID estimates for VR12 utility score were reported dependent on the calculation method used. The MCID estimate from 0.5 standard deviations of the change score was 0.083. The MCID estimate from the ROC analysis method using physical or emotional anchor question improvement was 0.115 (CI95 0.08-0.14; AUC 0.656). Different MCID calculation methods yielded different MCID values. Our results suggest that MCID is not an umbrella concept but rather many distinct concepts. A general consensus is required to standardise how MCID is defined, calculated, and applied in clinical practice

The Nottingham Hip Fracture Score (NHFS) was developed in 2007 as a predictor of 30-day mortality after hip fracture surgery following a neck of femur fracture. The National Hip Fracture Database is the standard used which calculated their own score using national data. The NHF score for 30-day mortality was calculated for 50 patients presenting with a fractured neck femur injury between January 2020 to March 2020. A score <5 was classified as low risk and >/=5 as high risk. Aim was to assess the accuracy in calculating the Nottingham Hip Fracture Score against the National Hip Fracture Database. To explore whether it should it be routinely included during initial assessment to aid clinical management?. There was an increase in the number of mortalities observed in patients who belonged to the high-risk group (>=5) compared to the low risk group. COVID-19 positive patients had worse outcomes with average 30-day mortality of 6.78 compared to the average of 6.06. GEH NHF score per month showed significant accuracy against the NHFD scores. The identification of high-risk groups from their NHF score can allow for targeted optimisations and elucidation of risk factors easily gathered at the point of hospitalisation. The NHFS is a valuable tool and useful predictor to stratify the risk of 30-day mortality and 1-year mortality after hip fracture surgery. Inclusion of the score should be considered as mandatory Trust policy for neck of femur fracture patients to aid clinical management and improve patient safety overall

Abstract. Background. The Forgotten Joint Score (FJS) is a 12-item patient reported outcome measurement instrument. It was developed with classical test theory, without testing assumptions such as unidimensionality (all items reflect one underlying factor), appropriate weighting of each item, no differential item function (DIF, different groups answer the same way), and monotonicity (people with higher function have higher score). We applied item response theory (IRT) to improve the validity of FJS to contemporary standards to optimise it for ongoing use. Research Questions. Does the FJS reflect one latent trait? Can an IRT model be fitted to the FJS to provide interval-scaled measurement?. Methodology. Participants undergoing primary total knee replacement provided pre-operative and post-operative (6-months) responses for FJS. An exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and Mokken analysis were conducted. The data were fitted to a graded response model (GRM). Results. 1288 response patterns were analysed. EFA showed a one factor model (all 12 items load to one underlying trait). CFA demonstrated excellent model fit (X2 <0.001, Tucker Lewis Index=0.96, Comparative Fit Index=0.96). Items did not have equal weighting. The FJS demonstrated good monotonicity with no differential item functioning by sex, age, or body mass index. Conclusions. The FJS meets key validity assumptions supporting its use in clinical practice and research. The IRT-adapted FJS provides continuous measurements with greater granularity including individual measurement error. This adapted score has advantages over traditional FJS scoring, being interval scaled (using GRM) and can be retrospectively applied to existing response sets