Aims. The aim of this study was to evaluate the clinical and radiological outcomes of locking plate fixation, with and without an associated fibular strut allograft, for the treatment of displaced
Aims. The aim of this study was to explore whether time to surgery affects functional outcome in displaced
Aims. The aims of this study were to investigate the mortality following a
Aims. There is no consensus on the treatment of
Aims. In order to determine whether and for whom serial radiological evaluation is necessary in one-part
Aims.
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
Aims. Open reduction and plate fixation (ORPF) for displaced
We treated 47 patients with a mean age of 57 years (22 to 88) who had a
Our aim was to determine the effect of the initial pattern of fracture and the displacement of fragments on the outcome of
The PROximal Fracture of the Humerus Evaluation by Randomisation
(PROFHER) randomised clinical trial compared the operative and non-operative
treatment of adults with a displaced fracture of the proximal humerus
involving the surgical neck. The aim of this study was to determine
the long-term treatment effects beyond the two-year follow-up. Of the original 250 trial participants, 176 consented to extended
follow-up and were sent postal questionnaires at three, four and
five years after recruitment to the trial. The Oxford Shoulder Score
(OSS; the primary outcome), EuroQol 5D-3L (EQ-5D-3L), and any recent
shoulder operations and fracture data were collected. Statistical
and economic analyses, consistent with those of the main trial were
applied.Aims
Patients and Methods
Low-energy fractures of the proximal humerus indicate osteoporosis and it is important to direct treatment to this group of patients who are at high risk of further fracture. Data were prospectively collected from 79 patients (11 men, 68 women) with a mean age of 69 years (55 to 86) with fractures of the proximal humerus in order to determine if current guidelines on the measurement of the bone mineral density at the hip and lumbar spine were adequate to stratify the risk and to guide the treatment of osteoporosis. Bone mineral density measurements were made by dual-energy x-ray absorptiometry at the proximal femur, lumbar spine (L2-4) and contralateral distal radius, and the T-scores were generated for comparison. Data were also collected on the use of steroids, smoking, the use of alcohol, hand dominance and comorbidity. The mean T-score for the distal radius was −2.97 ( The assessment of osteoporosis must include measurement of the bone mineral density at the distal radius to avoid underestimation of osteoporosis in the upper limb.
Aims. The purpose of this study was to identify factors associated with limitations in function, measured by patient-reported outcome measures (PROMs), six to nine months after a
This study describes the epidemiology and outcome
of 637
We evaluated the impact of stereo-visualisation of three-dimensional volume-rendering CT datasets on the inter- and intraobserver reliability assessed by kappa values on the AO/OTA and Neer classifications in the assessment of
Heterotopic ossification (HO) is a common complication after elbow trauma and can cause severe upper limb disability. Although multiple prognostic factors have been reported to be associated with the development of post-traumatic HO, no model has yet been able to combine these predictors more succinctly to convey prognostic information and medical measures to patients. Therefore, this study aimed to identify prognostic factors leading to the formation of HO after surgery for elbow trauma, and to establish and validate a nomogram to predict the probability of HO formation in such particular injuries. This multicentre case-control study comprised 200 patients with post-traumatic elbow HO and 229 patients who had elbow trauma but without HO formation between July 2019 and December 2020. Features possibly associated with HO formation were obtained. The least absolute shrinkage and selection operator regression model was used to optimize feature selection. Multivariable logistic regression analysis was applied to build the new nomogram: the Shanghai post-Traumatic Elbow Heterotopic Ossification Prediction model (STEHOP). STEHOP was validated by concordance index (C-index) and calibration plot. Internal validation was conducted using bootstrapping validation.Aims
Methods
Existing classifications of fractures of the head of the humerus are inadequate in terms of interobserver reliability and the predictability of the clinical outcome. From a combined study of 73 fracture specimens in museums and 84 CT-three-dimensional reconstructions in patients, we have devised a classification which appears to be more useful clinically. Common patterns of fracture and a plausible mechanism of injury were observed. In 3-D most
Patient engagement in adaptive health behaviours and interactions with their healthcare ecosystem can be measured using self-reported instruments, such as the Patient Activation Measure (PAM-13) and the Effective Consumer Scale (ECS-17). Few studies have investigated the influence of patient engagement on limitations (patient-reported outcome measures (PROMs)) and patient-reported experience measures (PREMs). First, we assessed whether patient engagement (PAM-13, ECS-17) within two to four weeks of an upper limb fracture was associated with limitations (the Quick Disabilities of the Arm, Shoulder and Hand questionnaire (QuickDASH), and Patient-Reported Outcome Measurement Information System Upper Extremity Physical Function computer adaptive test (PROMIS UE PF) scores) measured six to nine months after fracture, accounting for demographic, clinical, and psychosocial factors. Secondly, we assessed the association between patient engagement and experience (numerical rating scale for satisfaction with care (NRS-C) and satisfaction with services (NRS-S) six to nine months after fracture. A total of 744 adults with an isolated fracture of the proximal humerus, elbow, or distal radius completed PROMs. Due to multicollinearity of patient engagement and psychosocial variables, we generated a single variable combining measures of engagement and psychosocial factors using factor analysis. We then performed multivariable analysis with p < 0.10 on bivariate analysis.Aims
Methods
The primary aim of this study was to develop a reliable, effective radiological score to assess the healing of humeral shaft fractures, the Radiographic Union Score for HUmeral fractures (RUSHU). The secondary aim was to assess whether the six-week RUSHU was predictive of nonunion at six months after the injury. Initially, 20 patients with radiographs six weeks following a humeral shaft fracture were selected at random from a trauma database and scored by three observers, based on the Radiographic Union Scale for Tibial fractures system. After refinement of the RUSHU criteria, a second group of 60 patients with radiographs six weeks after injury, 40 with fractures that united and 20 with fractures that developed nonunion, were scored by two blinded observers.Aims
Patients and Methods
Outcome measures quantifying aspects of health in a precise,
efficient, and user-friendly manner are in demand. Computer adaptive
tests (CATs) may overcome the limitations of established fixed scales
and be more adept at measuring outcomes in trauma. The primary objective
of this review was to gain a comprehensive understanding of the
psychometric properties of CATs compared with fixed-length scales
in the assessment of outcome in patients who have suffered trauma
of the upper limb. Study designs, outcome measures and methodological
quality are defined, along with trends in investigation. A search of multiple electronic databases was undertaken on 1
January 2017 with terms related to “CATs”, “orthopaedics”, “trauma”,
and “anatomical regions”. Studies involving adults suffering trauma
to the upper limb, and undergoing any intervention, were eligible.
Those involving the measurement of outcome with any CATs were included.
Identification, screening, and eligibility were undertaken, followed
by the extraction of data and quality assessment using the Consensus-Based
Standards for the Selection of Health Measurement Instruments (COSMIN) criteria.
The review is reported according to the Preferred Reporting Items
for Systematic Reviews and Meta-Analyses (PRISMA) criteria and reg istered (PROSPERO: CRD42016053886).Aims
Materials and Methods