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PurposeDual-energy X-ray absorptiometry (DEXA) studies are used for screening patients for low bone mineral density (BMD). Patients with breast and prostate cancer are often treated with hormone-altering drugs that result in low BMD. These patients may have incidental osteoblastic metastases of the spine that may be detected on screening DEXA studies. The aim of this pilot study is to assess whether random forest classifiers or support vector machines can identify patients with incidental osteoblastic metastases of the spine from screening DEXA studies and to evaluate which technique is better.MethodsWe retrospectively reviewed the DEXA studies from 200 patients (155 normal control patients and 45 patients with osteoblastic metastases of one or more lumbar vertebral bodies from L1 to L4). The dataset was split into training (80%) and validation (20%) datasets. The optimal random forest (RF) and support vector machine (SVM) classifiers were obtained. Receiver-operator-characteristic curves were compared with DeLong’s test.ResultsThe sensitivity, specificity, accuracy and area under the curve (AUC) of the optimal RF classifier were 77.8%, 100.0%, 98.0% and 0.889, respectively, in the validation dataset. The sensitivity, specificity, accuracy and AUC of the optimal SVM classifier were 33.3%, 96.8%, 82.5% and 0.651 in the validation dataset. The RF classifier was significantly better than the SVM classifier (P = 0.008). Only 7 of the 45 patients with osteoblastic metastases (15.6%) were prospectively identified by the radiologist interpreting the study.ConclusionsRF classifiers can be used as a useful adjunct to identify incidental lumbar spine osteoblastic metastases in screening DEXA studies.

Idiopathic sudden sensorineural hearing loss (ISSNHL) is the rapid onset of reduced hearing due to loss of function of the inner ear or hearing nerve of unknown aetiology. Evidence supports improved hearing recovery with early steroid treatment, via oral, intravenous, intratympanic or a combination of routes. The STARFISH trial aims to identify the most clinically and cost-effective route of administration of steroids as first-line treatment for ISSNHL. STARFISH is a pragmatic, multicentre, assessor-blinded, three-arm intervention, superiority randomised controlled trial (1:1:1) with an internal pilot (ISRCTN10535105, IRAS 1004878). 525 participants with ISSNHL will be recruited from approximately 75 UK Ear, Nose and Throat units. STARFISH will recruit adults with sensorineural hearing loss averaging 30dBHL or greater across three contiguous frequencies (confirmed via pure tone audiogram), with onset over a ≤3-day period, within four weeks of randomisation. Participants will be randomised to 1) oral prednisolone 1mg/Kg/day up to 60mg/day for 7 days; 2) intratympanic dexamethasone: three intratympanic injections 3.3mg/ml or 3.8mg/ml spaced 7±2 days apart; or 3) combined oral and intratympanic steroids. The primary outcome will be absolute improvement in pure tone audiogram average at 12-weeks following randomisation (0.5, 1.0, 2.0 and 4.0kHz). Secondary outcomes at 6 and 12 weeks will include: Speech, Spatial and Qualities of hearing scale, high frequency pure tone average thresholds (4.0, 6.0 and 8.0kHz), Arthur Boothroyd speech test, Vestibular Rehabilitation Benefit Questionnaire, Tinnitus Functional Index, adverse events and optional weekly online speech and pure tone hearing tests. A health economic assessment will be performed, and presented in terms of incremental cost effectiveness ratios, and cost per quality-adjusted life-year. Primary analyses will be by intention-to-treat. Oral prednisolone will be the reference. For the primary outcome, the difference between group means and 97.5% confidence intervals at each time-point will be estimated via a repeated measures mixed-effects linear regression model.

Key Clinical Message Cortical venous thrombosis is a rare but severe complication of TBM that requires a high index of suspicion for early diagnosis. The treatment of CVT in TBM is based on anticoagulant therapy, which is known to improve the outcomes of the patients. The case report describes an 18‐year‐old male in India with symptoms of tubercular meningitis complicated by cortical venous thrombosis. Tubercular meningitis is a rare but severe form of meningitis caused by tuberculosis bacteria and is a significant public health concern in India. The patient presented to the emergency department with a history of fever, headache, and vomiting for the past month, with a positive Mycobacterium tuberculosis test. The patient was started on standard antitubercular therapy and was diagnosed with cortical venous thrombosis via an MRI scan. Treatment included antitubercular therapy, anticoagulation therapy, dexamethasone, and antiemetic drugs. The patient's symptoms improved over 2 weeks of therapy. The case highlights the importance of early detection, treatment, and prevention strategies, such as the National Tuberculosis elimination program, in controlling the spread of tuberculosis in India. It also emphasizes the importance of close monitoring for complications in patients with tubercular meningitis, such as cortical venous thrombosis, which can be life‐threatening. Tubercular meningitis complicated by cortical venous thrombosis.

Geriatric acetabular, pelvis, and subtrochanteric femur fractures are poorly understood and rapidly growing clinical problems. The purpose of this study was to describe the epidemiologic trends of these injuries as compared with traditional fragility fractures about the hip. From 1993 to 2010, the Nationwide Inpatient Sample (NIS) recorded more than 600 million Medicare-paid hospital discharges. This retrospective study used the NIS to compare patients with acetabular fractures (n=87,771), pelvic fractures (n=522,831), and subtrochanteric fractures (n=170,872) with patients with traditional hip fractures (intertrochanteric and femoral neck, n=3,495,742) with regard to annual trends over an 18-year period in incidence, length of hospital stay, hospital mortality, transfers from acute care institutions, and hospital charges. Traditional hip fractures peaked in 1996 and declined by 25.7% by 2010. During the same 18-year period, geriatric acetabular fractures increased by 67%, subtrochanteric femur fractures increased by 42%, and pelvic fractures increased by 24%. Hospital charges, when controlling for inflation, increased roughly 50% for all fracture types. Furthermore, transfers from outside acute care hospitals for definitive management stayed elevated for acetabular fractures as compared with traditional hip fractures, suggesting a greater need for tertiary care of acetabular fractures. Geriatric acetabular fractures are rapidly increasing, whereas traditional hip fractures continue to decline. Patients with these injuries are more likely to be transferred from their hospital of presentation to another acute care institution, possibly increasing costs and complications. This is likely related to their complexity and the lack of consensus regarding optimal management. [ Orthopedics. 2014; 37(3):151–157.]

PurposeAlthough image-guided biopsies of bone and soft tissue lesions have a low complication rate, there is limited data evaluating use of preprocedural laboratory tests. To address this issue, patients were not required to stop non-steroidal antiinflammatory drugs (NSAIDs) and aspirin or to obtain preprocedural laboratory tests [complete blood count (CBC) and international normalized ratio (INR)], except in special circumstances. The bleeding complication rate, rate of same day biopsies, and the time from when the biopsy was ordered to when it was performed were obtained.Materials and MethodsA total of 332 patients who underwent bone or soft tissue biopsies performed at our institution between 9/1/2017 and 1/9/2019 were prospectively analyzed. These data were compared to a retrospective biopsy cohort of 323 patients between 7/1/2015 and 7/1/2017. Data collected included method of image guidance and bleeding complication rate. The number of days from ordering to performing a biopsy and number of same day biopsies were recorded.ResultsThere were no bleeding complications in either cohort (OR 1.00, P = 1). The mean time from ordering to performing a bone biopsy was significantly decreased in the prospective group (6.6 days) compared to the retrospective group (8.1 days) (P = 0.012). There were more same day biopsies in the prospective cohort (11.4% vs. 3.4%) (P < 0.001).ConclusionsPreprocedural CBC and INR for bone and soft tissue biopsies can be safely eliminated in most patients. Biopsies performed while patients are taking NSAIDs/aspirin can safely be performed. Adopting revised preprocedural laboratory criteria can result in decreased time to completion of biopsies.

IntroductionAortic stenosis (AS) is common affecting >13% of adults over the age of 75 years. In people who develop symptoms, without valve replacement, prognosis is dismal with mortality as high as 50% at 1 year. In asymptomatic patients, the timing of valve intervention is less well defined and a strategy of watchful waiting is recommended. Many, however, may develop symptoms and attribute this to age related decline, rather than worsening AS. Timely intervention in asymptomatic severe AS is critical, since delayed intervention often results in poor outcomes. Proactive surveillance of symptoms, quality of life and functional capacity should enable timely identification of people who will benefit from aortic valve replacement. There are no data however, to support the clinical and cost effectiveness of such an approach in a healthcare setting in the UK. The aim of this pilot trial is to test the feasibility of a full-scale randomised controlled trial (RCT) to determine the utility of proactive surveillance in people with asymptomatic severe AS to guide the timing of intervention.Methods and analysisAPRAISE-AS is a multi-centre, non-blinded, two-arm, parallel group randomised controlled trial of up to 66 participants aged >18 years with asymptomatic severe AS. Participants will be randomised to either standard care or standard care supplemented with the APRAISE-AS intervention. Primary outcomes will capture; adherence to and participant acceptability of the intervention, recruitment and retention rates, and completeness of data collection. The findings will be used to inform the sample size and most appropriate outcome measure(s) for a full-scale RCT and health economic evaluation.Ethics and disseminationEthical approval was granted by the Black Country REC, reference: 22/WM/0214. Results will be submitted for publication in peer-reviewed journals and disseminated at local, regional and national meetings where appropriate.Trial registration number ISRCTN19413194 registered on 14.07.2023.

D-transposition of the great arteries (D-TGA) is a common cyanotic critical congenital heart disease. An arterial switch operation (ASO) with/without a ventricular septal defect (VSD) closure is the preferred surgical approach, with an added challenge when an intramural coronary artery (IMC) is present (1), with a reported increased incidence of postoperative complications and mortality (2,3). We present our recent D-TGA with intramural coronary artery (TGA-IMC) experience, focusing on the salient features identified on echocardiography, computed tomography (CT) angiography, and invasive angiograms, as well as variations in ASO surgical techniques for repair. Diagnostic imaging evaluation allowed for identification of the lesion, as well as planning for and undertaking of two different surgical approaches. While the two patients had differing immediate postoperative courses, both were asymptomatic at discharge, with normal biventricular systolic function. Our experience demonstrates that the suspicion for a coronary anomaly in TGA can be raised prenatally and confirmed postnatally with focused trans-thoracic echocardiography and ECG-gated CT angiogram evaluation while also aiding in operative planning. Moreover, suggesting further exploration of the optimal surgical technique for the repair of TGA-IMC.

Background: Surgical specialties face unique challenges caused by SARS-COV-2 (COVID-19). These disruptions will call on clinicians to have greater consideration for non-operative treatment options to help manage patient symptoms and provide therapeutic care in lieu of the traditional surgical management course of action. This study aimed to summarize the current guidance on elective surgery during the COVID-19 pandemic, assess how this guidance may impact orthopaedic care, and review any recommendations for non-operative management in light of elective surgery disruptions. Methods: A systematic search was conducted, and included guidance were categorized as either “Selective Postponement” or “Complete Postponement” of elective surgery. Selective postponement was considered as guidance that suggested elective cases should be evaluated on a case-by-case basis, whereas complete postponement suggested that all elective procedures be postponed until after the pandemic, with no case-by-case consideration. In addition, any statements regarding conservative/non-operative management were summarized when provided by included reports. Results: A total of 11 reports from nine different health organizations were included in this review. There were seven (63.6%) guidance reports that suggested a complete postponement of non-elective surgical procedures, whereas four (36.4%) reports suggested the use of selective postponement of these procedures. The guidance trends shifted from selective to complete elective surgery postponement occurred throughout the month of March. The general guidance provided by these reports was to have an increased consideration for non-operative treatment options whenever possible and safe. As elective surgery begins to re-open, non-operative management will play a key role in managing the surgical backlog caused by the elective surgery shutdown. Conclusion: Global guidance from major medical associations are in agreement that elective surgical procedures require postponement in order to minimize the risk of COVID-19 spread, as well as increase available hospital resources for managing the influx of COVID-19 patients. It is imperative that clinicians and patients consider non-operative, conservative treatment options in order to manage conditions and symptoms until surgical management options become available again, and to manage the increased surgical waitlists caused by the elective surgery shutdowns.

To assess whether application of a support vector machine learning algorithm to ancillary data obtained from posterior-anterior dual-energy X-ray absorptiometry (DEXA) studies could identify patients with lumbar spine (L1–L4) vertebral body fractures without additional DEXA imaging or radiation. Three hundred seven patients (199 without any fractures of the spine, and 108 patients with at least one fracture of the L1, L2, L3, or L4 vertebral bodies) who had DEXA studies were evaluated. Ancillary data from DEXA output was analyzed. The dataset was split into training (80%) and test (20%) datasets. Support vector machines (SVMs) with 10-fold cross-validation and different kernels were used to identify the best kernel based on the greatest area under the curve (AUC) and the best training vectors in the training dataset. The SVM with the best kernel was then applied to the test dataset to assess the accuracy of the SVM. Receiver operating characteristic (ROC) curves of the SVMs using different kernels in the test dataset were compared using DeLong’s test. The SVM classifier with the linear kernel had the greatest AUC in the training dataset (AUC = 0.9258). The AUC of the SVM classifier with the linear kernel in the test dataset was 0.8963. The SVM classifier with the linear kernel had an overall average accuracy of 91.8% in the test dataset. The sensitivity, specificity, positive predictive value, and negative predictive of the SVM classifier with the linear kernel to detect lumbar spine fractures were 81.8%, 97.4%, 94.7%, and 90.5%, respectively. The SVM classifier with the linear kernel ROC curve had a significantly better AUC than the SVM classifier with the cubic polynomial kernel (P = 0.034) for discriminating between patients with lumbar spine fractures and control patients, but not significantly different from the SVM classifier with a radial basis function (RBF) kernel (P = 0.317) or the SVM classifier with a sigmoid kernel (P = 0.729). All fractures identified by the SVM classifiers were not prospectively identified by the radiologist. SVM analysis of ancillary data obtained from routine DEXA studies can identify lumbar spine fractures without the use of vertebral fracture assessment (VFA) DEXA imaging or radiation, and identify fractures missed by radiologists.