Potential Impact of an Artificial Intelligence-based Mammography Triage Algorithm on Performance and Workload in a Population-based Screening Sample.

OBJECTIVE: To evaluate potential screening mammography performance and workload impact using a commercial artificial intelligence (AI)-based triage device in a population-based screening sample. METHODS: In this retrospective study, a sample of 2129 women who underwent screening mammograms were evaluated. The performance of a commercial AI-based triage device was compared with radiologists' reports, actual outcomes, and national benchmarks using commonly used mammography metrics. Up to 5 years of follow-up examination results were evaluated in cases to establish benignity. The algorithm sorted cases into groups of "suspicious" and "low suspicion." A theoretical workload reduction was calculated by subtracting cases triaged as "low suspicion" from the sample. RESULTS: At the default 93% sensitivity setting, there was significant improvement (P <.05) in the following triage simulation mean performance measures compared with actual outcome: 45.5% improvement in recall rate (13.4% to 7.3%; 95% CI, 6.2-8.3), 119% improvement in positive predictive value (PPV) 1 (5.3% to 11.6%; 95% CI, 9.96-13.4), 28.5% improvement in PPV2 (24.6% to 31.6%; 95% CI, 24.8-39.1), 20% improvement in sensitivity (83.3% to 100%; 95% CI, 100-100), and 7.2% improvement in specificity (87.2% to 93.5%; 95% CI, 92.4-94.5). A theoretical 62.5% workload reduction was possible. At the ultrahigh 99% sensitivity setting, a theoretical 27% workload reduction was possible. No cancers were missed by the algorithm at either sensitivity. CONCLUSION: Artificial intelligence-based triage in this simulation demonstrated potential for significant improvement in mammography performance and predicted substantial theoretical workload reduction without any missed cancers.

Radiation hazards of the Ukraine nuclear power plants: how can international blood and marrow stem cell transplant societies help?

Any conflict in countries that process nuclear power plants raises concerns of the potential radiation injuries to the people in that region and beyond such as the current conflict in Ukraine. International healthcare organizations and societies should prepare for the potential scenarios of nuclear incidents. The Worldwide Network for Blood and Marrow Transplantation (WBMT) and its members, have recent experience preparing for this type of events such as the Fukushima incident in 2011. In this article, we discuss the risks of radiation exposure, current guidelines, and scientific evidence on hematopoietic support, including the role of hematopoietic stem cell transplant (HCT) for those exposed to nuclear radiation, and the role that the WBMT and other global BMT societies can play in triaging and managing people suffering from radiation injuries.

Comparative Study of Plan Robustness for Breast Radiotherapy: Volumetric Modulated Arc Therapy Plans with Robust Optimization versus Manual Flash Approach.

A previous study investigated robustness of manual flash (MF) and robust optimized (RO) volumetric modulated arc therapy plans for breast radiotherapy based on five patients in 2020 and indicated that the RO was more robust than the MF, although the MF is still current standard practice. The purpose of this study was to compare their plan robustness in terms of dose variation to clinical target volume (CTV) and organs at risk (OARs) based on a larger sample size. This was a retrospective study involving 34 female patients. Their plan robustness was evaluated based on measured volume/dose difference between nominal and worst scenarios (ΔV/ΔD) for each CTV and OARs parameter, with a smaller difference representing greater robustness. Paired sample t-test was used to compare their robustness values. All parameters (except CTV ΔD98%) of the RO approach had smaller ΔV/ΔD values than those of the MF. Also, the RO approach had statistically significantly smaller ΔV/ΔD values (p < 0.001-0.012) for all CTV parameters except the CTV ΔV95% and ΔD98% and heart ΔDmean. This study's results confirm that the RO approach was more robust than the MF in general. Although both techniques were able to generate clinically acceptable plans for breast radiotherapy, the RO could potentially improve workflow efficiency due to its simpler planning process.

Bidirectional associations between hyperopia, myopia, astigmatism, and strabismus, and attention-deficit/hyperactivity disorder in children: a national population-based cohort study

Objectives: The present study analyzed the reciprocal relationships between four common pediatric ophthalmic diseases (i.e., hyperopia, myopia, astigmatism, and strabismus) and attention‐deficit/hyperactivity disorder (ADHD) in children. Methods: This study enrolled 86,028 children with ADHD and 1,798,673 children without ADHD in the Taiwan Maternal and Child Health Database who were born at any time from 2004 to 2017. Cox proportional hazards regression models were used to estimate the bidirectional relationships of the four ophthalmic diseases with ADHD in children after adjusting for age, sex, and gestational age at birth. Survival curves for time-to-event variables were estimated using the Kaplan-Meier method, and the log-rank test was used to compare the curves. Results: The results indicated that ADHD significantly predicted the occurrence of hyperopia, myopia, astigmatism, and strabismus. Furthermore, hyperopia, myopia, astigmatism, and strabismus significantly predicted the occurrence of ADHD. The time between enrollment and ADHD diagnosis was shorter for patients with ophthalmic diseases than for the control group, and the time between enrollment and ophthalmic disease diagnosis was also shorter for ADHD patients than for the control group. Sex differences were found in the associations between ADHD and ophthalmic diseases. Conclusion: Clinicians should monitor children with ADHD for hyperopia, myopia, astigmatism, and strabismus to ensure appropriate treatment, and vice versa.

Efficient and Automatic Breast Cancer Early Diagnosis System Based on the Hierarchical Extreme Learning Machine.

Breast cancer is the leading type of cancer in women, causing nearly 600,000 deaths every year, globally. Although the tumors can be localized within the breast, they can spread to other body parts, causing more harm. Therefore, early diagnosis can help reduce the risks of this cancer. However, a breast cancer diagnosis is complicated, requiring biopsy by various methods, such as MRI, ultrasound, BI-RADS, or even needle aspiration and cytology with the suggestions of specialists. On certain occasions, such as body examinations of a large number of people, it is also a large workload to check the images. Therefore, in this work, we present an efficient and automatic diagnosis system based on the hierarchical extreme learning machine (H-ELM) for breast cancer ultrasound results with high efficiency and make a primary diagnosis of the images. To make it compatible to use, this system consists of PNG images and general medical software within the H-ELM framework, which is easily trained and applied. Furthermore, this system only requires ultrasound images on a small scale, of 28×28 pixels, reducing the resources and fulfilling the application with low-resolution images. The experimental results show that the system can achieve 86.13% in the classification of breast cancer based on ultrasound images from the public breast ultrasound images (BUSI) dataset, without other relative information and supervision, which is higher than the conventional deep learning methods on the same dataset. Moreover, the training time is highly reduced, to only 5.31 s, and consumes few resources. The experimental results indicate that this system could be helpful for precise and efficient early diagnosis of breast cancers with primary examination results.

Impact of N-terminal pro-B-type natriuretic peptide and related inflammatory biomarkers on periodontal treatment outcomes in patients with periodontitis: An explorative human randomized-controlled clinical trial.

BACKGROUND: N-terminal portion of the B-type natriuretic propeptide (NT-proBNP) has potentially been shown to play an important role in the development of periodontitis and cardiovascular disease (CVD). This study evaluated the efficacy of periodontal treatment on NT-proBNP and related CVD biomarkers and explored whether subjects harboring high NT-proBNP at baseline showed increased clinical benefits with the non-surgical periodontal treatment performed with full-mouth scaling and root planing (FM-SRP) at 6-month follow-up. METHODS: Forty-eight patients with stage III periodontitis were randomized to receive minimal standard oral care (SOC) (n = 24) or FM-SRP (n = 24) protocol. Clinical periodontal parameters (probing depth, clinical attachment loss, bleeding on probing), serum NT-proBNP, α1-antitrypsin, C-reactive protein (hs-CRP), endothelial cell-specific molecule-1 (ECM-1), and neutrophil gelatinase-associated lipocalin (NGAL) concentrations were assessed at baseline and at 1-, 3-, and 6- month follow-up. RESULTS: At 6 months, FM-SRP was more effective than SOC in reducing periodontal parameters and mean proportions of NT-proBNP (p = 0.004), hs-CRP (p = 0.003), α1-antitrypsin (p = 0.012), ECM-1 (p = 0.014), and NGAL (p = 0.045). At 6-month follow-up, the reduced NT-proBNP, α1-antitrypsin, hs-CRP, ECM-1, and NGAL levels were significantly correlated with the extent of periodontitis (p < 0.05). Furthermore, the analysis of variance analysis evidenced that, at 6-month follow-up, FM-SRP significantly impacted the reduction of NT-proBNP, hs-CRP, ECM-1, and NGAL. Moreover, high levels of NT-proBNP, hs-CRP, ECM-1, and NGAL at baseline significantly influenced the efficacy of periodontal treatment positively. CONCLUSION: In this study, FM-SRP was more effective than SOC in reducing clinical variables and NT-proBNP levels, although subjects who harbored high NT-proBNP concentrations at baseline showed greater clinical benefits of periodontal treatment at 6-month follow-up.

[Simulation training for French obstetrics and gynecology residents: A national survey in 2022]. / Formation initiale par la simulation pour les internes français de gynécologie et obstétrique : état des lieux en 2022.

OBJECTIVES: To evaluate the use of simulation among French Obstetrics and Gynecology residency programs. METHODS: A survey was conducted with all 28 French residency program directors. The questionnaire covered equipment and human resources, training programs, types of simulation tools and time spent. RESULTS: Of the cities hosting a residency program, 93% (26/28) responded regarding equipment and human resources, and 75% (21/28) responded regarding training program details. All respondents declared having at least one structure dedicated to simulation. A formal training program was reported by 81% (21/26) of cities. This training program was mandatory in 73% of the cases. There was a median number of seven senior trainers involved, three of whom had received a specific training in medical education. Most of declared simulation activities concerned technical skills in obstetrics and surgery. Simulations to practice breaking bad news were offered by 62% (13/21) of cities. The median number of half-days spent annually on simulation training was 55 (IQR: 38-83). CONCLUSION: Simulation training is now widely available among French residency programs. There remains heterogeneity between centers regarding equipment, time spent and content of simulation curricula. The French College of Teachers of Gynecology and Obstetrics has proposed a roadmap for the content of simulation-based training based on the results of this survey. An inventory of all existing "train the trainers" simulation programs in France is also provided.

Aspirin Use as a Risk Factor for Marginal Ulceration in Roux-en-Y Gastric Bypass Patients: A Meta-Analysis of 24,770 Patients.

BACKGROUND: Roux-en-Y gastric bypass (RYGB) is a recognized, safe bariatric procedure with minimal complications. Marginal ulceration, however, remains a challenging problem with an incidence of 8-12%. While chronic NSAID use is an established risk factor for ulcer formation, aspirin use itself as a cause for marginal ulceration is still unclear. We aim to compare the rates of marginal ulceration in RYGB with and without aspirin use. METHODS: PubMed, ScienceDirect, Cochrane, Web of Science, and Google Scholar were searched for articles between 2008 and 2021 by two independent reviewers using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA). The risk of bias was assessed using Newcastle-Ottawa Scale. Meta-analysis was conducted using a fixed-effect model. RESULTS: From 5324 studies screened, we included 3 studies. Two studies had a low risk of bias, and the other one presented a high risk of bias on the Newcastle-Ottawa Scale. We included 24,770 patients, 1911 with aspirin use and 22,859 without aspirin use. After the meta-analysis, patients who used aspirin had a significantly higher marginal ulceration rate than those who did not (OR = 1.33 [95% CI 1.08 to 1.63], P < .002; I2 = 39%). CONCLUSIONS: Aspirin use is associated with increased rates of marginal ulceration after RYGB.

Comparison of Human, Porcine, and Bovine Acellular Dermal Matrix in Prepectoral Breast Reconstruction: A Scoping Review.

OBJECTIVE: The aim of the study is to determine rates of overall complications and failure of prepectoral breast reconstruction between various types of acellular dermal matrices (ADMs). BACKGROUND: Implant-based breast reconstruction is the most common reconstructive technique after mastectomy in the United States. Traditionally, the reconstruction has been performed in the subpectoral plane; however, there has been an emerging interest in prepectoral reconstruction using ADM. Human (hADM), porcine (pADM), and bovine (bADM) ADMs are available for use, but little is known about the benefits and complication profiles of each for prepectoral breast reconstruction. METHODS: Studies examining complications after the use of ADM for prepectoral breast reconstruction were identified using MEDLINE, Embase, the Cochrane Library, LILACS, and the Web of Science from January 2010 to August 2021. Titles and abstracts of 1838 studies were screened, followed by full-text screening of 355 articles. Thirty-three studies were found to meet inclusion criteria. RESULTS: From the 33 studies, 6046 prepectoral reconstructions were examined. Implant loss was comparable across the different types of ADM (pADM, 4.0%; hADM, 4.0%; bADM, 3.7%). Bovine ADM had the highest rate of capsular contracture (6.1%), infection (9.0%), skin flap necrosis (8.3%), dehiscence (5.4%), and hematoma (6.1%) when compared with both hADM and pADM. Human ADM had the highest rate of postoperative seroma (5.3%), followed by pADM (4.6%) and bADM (4.5%). CONCLUSIONS: Among the prepectoral breast reconstruction studies using hADM, pADM, or bADM included in our analysis, complication profiles were similar. Bovine ADM had the highest proportion of breast complications in the following categories: capsular contracture, infection rate, skin flap necrosis, dehiscence, and hematoma. Implant loss was comparable across the cohorts. Overall, prepectoral breast reconstruction using ADM leads to relatively low complication rates with the highest rates within the bADM cohort.

Second-line immunotherapy and functional outcomes in autoimmune encephalitis: A systematic review and individual patient data meta-analysis.

Autoimmune encephalitis (AE) is a neurological disorder caused by autoimmune attack on cerebral proteins. Experts currently recommend staged immunotherapeutic management, with first-line immunotherapy followed by second-line immunotherapy if response to first-line therapy is inadequate. Meta-analysis of the evidence base may provide higher quality evidence to support this recommendation. We undertook a systematic review of observational cohort studies reporting AE patients treated with either second-line immunotherapy or first-line immunotherapy alone, and outcomes reported using the modified Rankin Scale (mRS; search date: April 22, 2020). We performed several one-stage multilevel individual patient data (IPD) meta-analyses to examine the association between second-line immunotherapy and final mRS scores (PROSPERO ID CRD42020181805). IPD were obtained for 356 patients from 25 studies. Most studies were rated as moderate to high risk of bias. Seventy-one patients (71/356, 19%) were treated with second-line immunotherapy. We did not find a statistically significant association between treatment with second-line immunotherapy and final mRS score for the cohort overall (odds ratio [OR] = 1.74, 95% confidence interval [CI] = .98-3.08, p = .057), or subgroups with anti-N-methyl-D-aspartate receptor encephalitis (OR = 1.03, 95% CI = .45-2.38, p = .944) or severe AE (maximum mRS score > 2; OR = 1.673, 95% CI = .93-3.00, p = .085). Treatment with second-line immunotherapy was associated with higher final mRS scores in subgroups with anti-leucine-rich glioma-inactivated 1 AE (OR = 6.70, 95% CI = 1.28-35.1, p = .024) and long-term (at least 12 months) follow-up (OR = 3.94, 95% CI = 1.67-9.27, p = .002). We did not observe an association between treatment with second-line immunotherapy and lower final mRS scores in patients with AE. This result should be interpreted with caution, given the risk of bias, limited adjustment for disease severity, and insensitivity of the mRS in estimating psychiatric and cognitive disability.

SFPQ-ABL1 and BCR-ABL1 use different signaling networks to drive B-cell acute lymphoblastic leukemia.

Philadelphia-like (Ph-like) acute lymphoblastic leukemia (ALL) is a high-risk subtype of B-cell ALL characterized by a gene expression profile resembling Philadelphia chromosome-positive ALL (Ph+ ALL) in the absence of BCR-ABL1. Tyrosine kinase-activating fusions, some involving ABL1, are recurrent drivers of Ph-like ALL and are targetable with tyrosine kinase inhibitors (TKIs). We identified a rare instance of SFPQ-ABL1 in a child with Ph-like ALL. SFPQ-ABL1 expressed in cytokine-dependent cell lines was sufficient to transform cells and these cells were sensitive to ABL1-targeting TKIs. In contrast to BCR-ABL1, SFPQ-ABL1 localized to the nuclear compartment and was a weaker driver of cellular proliferation. Phosphoproteomics analysis showed upregulation of cell cycle, DNA replication, and spliceosome pathways, and downregulation of signal transduction pathways, including ErbB, NF-κB, vascular endothelial growth factor (VEGF), and MAPK signaling in SFPQ-ABL1-expressing cells compared with BCR-ABL1-expressing cells. SFPQ-ABL1 expression did not activate phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) signaling and was associated with phosphorylation of G2/M cell cycle proteins. SFPQ-ABL1 was sensitive to navitoclax and S-63845 and promotes cell survival by maintaining expression of Mcl-1 and Bcl-xL. SFPQ-ABL1 has functionally distinct mechanisms by which it drives ALL, including subcellular localization, proliferative capacity, and activation of cellular pathways. These findings highlight the role that fusion partners have in mediating the function of ABL1 fusions.

Machine Learning Based Hardware Architecture for DOA Measurement From Mice EEG.

OBJECTIVE: This research aims to design a hardware optimized machine learning based Depth of Anesthesia (DOA) measurement framework for mice and its FPGA implementation. METHODS: Electroencephalography or EEG signal is acquired from 16 mice in the Neural Interface Research (NIR) Laboratory of the City University of Hong Kong. We present a logistic regression based approach with mathematically uncomplicated feature extraction techniques for efficient hardware implementation to estimate the DOA. RESULTS: With the extraction of only two features, the proposed system can classify the state of consciousness with 94% accuracy for a 1 second EEG epoch, leading to a 100% accurate channel prediction after a 7 s run-time on average. CONCLUSION: Through performance evaluation and comparative study confirmed the efficacy of the prototype. SIGNIFICANCE: DOA is the measure of consciousness to distinguish whether a patient is suitably anesthetized or not during a surgical procedure. Traditionally the DOA is estimated by checking biophysical responses of a patient during the surgery. However, the physical symptoms can be misleading for a decisive conclusion due to the patient's health condition or as a side-effect of anesthetic drugs. Recently, several neuroscientific research works are correlating the EEG signal with conscious states, which is likely to have less interference with the patient's medical condition. This research presents the first-of-its-kind hardware implemented automatic DOA computation system for mice.

Layered Closure of Lumbosacral Myelomeningocele Defects with Bilateral Paraspinous Muscle and Composite Fasciocutaneous Flaps.

Robust, reliable, and reproducible closure of lumbosacral myelomeningocele defects remains a challenge. In infants with lumbosacral myelomeningocele defects, multiple methods of soft tissue coverage have been described. These include various cutaneous, fascial, and muscle flaps and grafts. This is done with relative ease when ample soft tissue is present but becomes extremely difficult for large and distally located defects. We present here our closure technique of lumbosacral myelomeningocele defects in newborns, with associated short- and medium-term outcomes. We demonstrate the anatomy of this technique with fresh cadaver dissection and present a review of demographic and outcome data of 12 consecutive patients treated with this method from June 2014 to August 2019. No major intra- or postoperative complications have been encountered, with a mean follow-up of 22.2 months and median follow up of 18 months. After the neurosurgical repair of lumbosacral myelomeningocele, bilateral composite fascial flaps composed of thoracolumbar and gluteus maximus fascia are elevated in continuity. The paraspinous muscle flaps are then elevated, disinserted distally, and medialized to provide complete muscular coverage of the dural repair. The bilateral composite fascial flaps are medialized and closed over the deep paraspinous muscle flap repair. Two patients experienced areas of small, superficial skin necrosis, one of which healed by secondary intention and the other by debridement and full-thickness skin grafting. Use of bilateral paraspinous muscle flaps and bilateral composite fascial flaps composed of thoracolumbar and gluteus maximus fascia provides robust coverage of lumbosacral defects following myelomeningocele repair in infants.

The application of RNA sequencing for the diagnosis and genomic classification of pediatric acute lymphoblastic leukemia.

Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy, and implementation of risk-adapted therapy has been instrumental in the dramatic improvements in clinical outcomes. A key to risk-adapted therapies includes the identification of genomic features of individual tumors, including chromosome number (for hyper- and hypodiploidy) and gene fusions, notably ETV6-RUNX1, TCF3-PBX1, and BCR-ABL1 in B-cell ALL (B-ALL). RNA-sequencing (RNA-seq) of large ALL cohorts has expanded the number of recurrent gene fusions recognized as drivers in ALL, and identification of these new entities will contribute to refining ALL risk stratification. We used RNA-seq on 126 ALL patients from our clinical service to test the utility of including RNA-seq in standard-of-care diagnostic pipelines to detect gene rearrangements and IKZF1 deletions. RNA-seq identified 86% of rearrangements detected by standard-of-care diagnostics. KMT2A (MLL) rearrangements, although usually identified, were the most commonly missed by RNA-seq as a result of low expression. RNA-seq identified rearrangements that were not detected by standard-of-care testing in 9 patients. These were found in patients who were not classifiable using standard molecular assessment. We developed an approach to detect the most common IKZF1 deletion from RNA-seq data and validated this using an RQ-PCR assay. We applied an expression classifier to identify Philadelphia chromosome-like B-ALL patients. T-ALL proved a rich source of novel gene fusions, which have clinical implications or provide insights into disease biology. Our experience shows that RNA-seq can be implemented within an individual clinical service to enhance the current molecular diagnostic risk classification of ALL.

Metabolic Responses to Metformin in Inoperable Early-stage Non-Small Cell Lung Cancer Treated With Stereotactic Radiotherapy: Results of a Randomized Phase II Clinical Trial.

BACKGROUND: Metformin reduces glucose uptake in physiologic tissues and has been shown to affect non-small cell lung cancer (NSCLC) metabolism. We hypothesized that positron emission tomography (PET) scans could detect the impact of metformin on glucose uptake in NSCLC and we sought to test this hypothesis in a prospective clinical trial. MATERIALS AND METHODS: A single-blinded phase II clinical trial was performed with subjects randomized 6:1 to 3 to 4 weeks of metformin versus placebo for inoperable early-stage NSCLC. PET scans were performed at baseline, mid-treatment (after 2 wk study medication), and 6 months postradiation. The primary endpoint of the trial was tumor metabolic response to metformin by PERCIST before definitive radiation. Stereotactic body radiotherapy to 50 Gy in 4 fractions was used for peripheral tumors and 70 Gy in 10 fractions for central tumors. RESULTS: There were 14 subjects randomized to the metformin and 1 to placebo. Histologies were 60% adenocarcinoma, 33.3% squamous cell carcinoma, and 6.7% poorly differentiated carcinoma. At mid-treatment PET scan, 57% of subjects randomized to metformin met PERCIST criteria for metabolic response, of which 75% had progressive metabolic disease and 25% had partial metabolic response, whereas the placebo subject had stable metabolic disease. At 6 months, the metformin arm had 69% complete metabolic response, 23% partial metabolic response and 1 progressive metabolic disease, and the subject treated with placebo had a complete metabolic response. There were no CTCAE grade ≥3 toxicities. CONCLUSIONS: Despite low accrual, majority of subjects treated with metformin had metabolic responses by PERCIST criteria on PET imaging. Contrary to the effect of metformin on most physiologic tissues, most tumors had increased metabolic activity in response to metformin.

Impact of hospital nephrectomy volume on intermediate- to long-term survival in renal cell carcinoma.

OBJECTIVE: To evaluate the relationship between hospital volume and intermediate- and long-term patient survival for patients undergoing nephrectomy for renal cell carcinoma (RCC). PATIENTS AND METHODS: Adult patients with RCC treated with nephrectomy between 2000 and 2010 were identified from the English Hospital Episode Statistics database and National Cancer Data Repository. Patients with nodal or metastatic disease were excluded. Hospitals were categorised into low- (LV; <20 cases/year), medium- (20-39 cases/year) and high-volume (HV; ≥40 cases/year), based on annual cases of RCC nephrectomy. Multivariable Cox regression analyses were used to calculate hazard ratios (HRs) for all-cause mortality by hospital volume, adjusting for patient, tumour and surgical characteristics. We assessed conditional survival over three follow-up periods: short (30 days to 1 year), intermediate (1-3 years) and long (3-5 years). We additionally explored whether associations between volume and outcomes varied by tumour stage. RESULTS: A total of 12 912 patients were included. Patients in HV hospitals had a 34% reduction in mortality risks up to 1 year compared to those in LV hospitals (HR 0.66, 95% confidence interval 0.53-0.83; P < 0.01). Assuming causality, treatment in HV hospitals was associated with one fewer death in every 71 patients treated. Benefit of nephrectomy centralisation did not change with higher T stage (P = 0.17). No significant association between hospital volume and survival was observed beyond the first year. CONCLUSIONS: Nephrectomy for RCC in HV hospitals was associated with improved survival for up to 1 year after treatment. Our results contribute new insights regarding the value of nephrectomy centralisation.

Laboratory evaluation of secondary causes of bone loss in Veterans with spinal cord injury and disorders.

An electronic health record (eHR) review of Veterans with a spinal cord injury and disorder (SCI/D) was conducted to understand the extent to which Veterans Affairs (VA) providers pursue workups for secondary causes of osteoporosis in this population. Laboratory tests for secondary causes were ordered in only one-third of Veterans, with secondary causes identified in two-thirds of those tested, most frequently, hypogonadism and hypovitaminosis D. PURPOSE: To identify workups for secondary causes of osteoporosis in SCI/D and the extent to which subspecialty consultations are sought. METHODS: A total of 3018 prescriptions for an osteoporosis medication (bisphosphonate, calcitonin, denosumab, raloxifene, teriparatide) among 2675 Veterans were identified in fiscal years 2005-2015 from VA administrative databases. Approximately 10% of these prescriptions were selected for eHR review. RESULTS: eHR records of 187 Veterans with a SCI/D who had received pharmacological treatment for osteoporosis were reviewed. Workups for secondary causes of osteoporosis were performed in 31.5% of Veterans (n = 59) with approximately 64.4% of those tested (n = 38) having at least one abnormality. Hypogonadism (52.0% of those tested) and hypovitaminosis D (50.0% of those tested) were the most common secondary causes of osteoporosis identified in this population. Approximately 10% of primary care and SCI providers consulted subspecialists for further evaluation and treatment of osteoporosis. Endocrinologists more frequently performed a workup for secondary causes of osteoporosis compared to other provider specialties. CONCLUSIONS: Screening for secondary causes of osteoporosis, particularly for hypogonadism and hypovitaminosis D, should be considered in patients with a SCI/D.

Relationships of homophobic bullying during childhood and adolescence with problematic internet and smartphone use in early adulthood among sexual minority men in Taiwan

Abstract Background Mental health disparity in sexual minorities is a crucial clinical and public health issue worldwide. A total of 500 homosexual or bisexual men aged between 20 and 25 years participated in this study. Objectives The aims of the study were to examine the relationships of victimization of traditional and cyber homophobic bullying during childhood and adolescence with problematic internet and smartphone use and activities during early adulthood among sexual minority men in Taiwan. Methods The seveirities of problematic internet and smartphone use and activities in early adulthood were compared between victims and non-victims of bullying. The severities of problematic internet and smartphone use were also compared among the groups of various types of bullying as well as among the groups of various persistence durations of being bullied. Results Victims of traditional and cyber homophobic bullying had more severe problematic internet and smartphone use than non-victims. Victims of multi-type bullying had more severe problematic internet use than victims of single-type bullying. Prolonged victimization was significantly associated with problematic internet and smartphone use. Discussion: Victimization of traditional and cyber homophobic bullying during childhood and adolescence predicts problematic internet and smartphone use during early adulthood among sexual minority men.

Targeted therapy and disease monitoring in CNTRL-FGFR1-driven leukaemia.

We report two patients with leukaemia driven by the rare CNTRL-FGFR1 fusion oncogene. This fusion arises from a t(8;9)(p12;q33) translocation, and is a rare driver of biphenotypic leukaemia in children. We used RNA sequencing to report novel features of expressed CNTRL-FGFR1, including CNTRL-FGFR1 fusion alternative splicing. From this knowledge, we designed and tested a Droplet Digital PCR assay that detects CNTRL-FGFR1 expression to approximately one cell in 100 000 using fusion breakpoint-specific primers and probes. We also utilised cell-line models to show that effective tyrosine kinase inhibitors, which may be included in treatment regimens for this disease, are only those that block FGFR1 phosphorylation.