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Despite the success of stochastic variance-reduced gradient (SVRG) algorithms in solving large-scale problems, their stochastic gradient complexity often scales linearly with data size and is expensive for huge data. Accordingly, we propose a hybrid stochastic-deterministic minibatch proximal gradient~(HSDMPG) algorithm for strongly convex problems with linear prediction structure, e.g.~least squares and logistic/softmax regression. HSDMPG~enjoys improved computational complexity that is data-size-independent for large-scale problems. It iteratively samples an evolving~minibatch of individual losses to estimate the original problem, and efficiently minimizes the sampled smaller-sized subproblems. For strongly convex loss of n components, HSDMPG~attains an $\epsilon$ -optimization-error within $\mathcal{O} \left(\kappa\log^{\zeta+1}\left(\frac{1}{\epsilon}\right)\frac{1}{\epsilon}\bigwedge n\log^{\zeta}\left(\frac{1}{\epsilon}\right)\right)$ stochastic gradient evaluations, where $\kappa$ is condition number, $\zeta=1$ for quadratic loss and $\zeta=2$ for generic loss. For large-scale problems, our complexity outperforms those of SVRG-type algorithms with/without dependence on data size. Particularly, when $\epsilon=\mathcal{O}(1/\sqrt{n})$ which matches the intrinsic excess error of a learning model and is sufficient for generalization, our complexity for quadratic and generic losses is respectively $\mathcal{O} (n^{0.5}\log^{2}(n))$ and $\mathcal{O} (n^{0.5}\log^{3}(n))$ , which for the first time achieves optimal generalization in less than a single pass over data. Besides, we extend HSDMPG~to online strongly convex problems and prove its higher efficiency over the prior algorithms. Numerical results demonstrate the computational advantages of~HSDMPG.

To determine the optimal combination of imaging and biochemical biomarkers for use in the prediction of knee osteoarthritis (OA) progression.The present study was a nested case-control trial from the Foundation of the National Institutes of Health OA Biomarkers Consortium that assessed study participants with a Kellgren/Lawrence grade of 1-3 who had complete biomarker data available (n = 539 to 550). Cases were participants' knees that had radiographic and pain progression between 24 and 48 months compared to baseline. Radiographic progression only was assessed in secondary analyses. Biomarkers (baseline and 24-month changes) that had a P value of0.10 in univariate analysis were selected, including quantitative cartilage thickness and volume on magnetic resonance imaging (MRI), semiquantitative MRI markers, bone shape and area, quantitative meniscal volume, radiographic progression (trabecular bone texture [TBT]), and serum and/or urine biochemical markers. Multivariable logistic regression models were built using 3 different stepwise selection methods (complex models versus parsimonious models).Among baseline biomarkers, the number of locations affected by osteophytes (semiquantitative), quantitative central medial femoral and central lateral femoral cartilage thickness, patellar bone shape, and semiquantitative Hoffa-synovitis predicted OA progression in most models (C statistic 0.641-0.671). In most models, 24-month changes in semiquantitative MRI markers (effusion-synovitis, meniscal morphologic changes, and cartilage damage), quantitative central medial femoral cartilage thickness, quantitative medial tibial cartilage volume, quantitative lateral patellofemoral bone area, horizontal TBT (intercept term), and urine N-telopeptide of type I collagen predicted OA progression (C statistic 0.680-0.724). A different combination of imaging and biochemical biomarkers (baseline and 24-month change) predicted radiographic progression only, which had a higher C statistic of 0.716-0.832.The present study highlights the combination of biomarkers with potential prognostic utility in OA disease-modifying trials. Properly qualified, these biomarkers could be used to enrich future trials with participants likely to experience progression of knee OA.

ObjectiveTo develop a simple and effective risk score for predicting which stroke patients will have persistent impairment of upper extremity motor function at 90 days.DesignPost hoc analysis of clinical trial patients hospitalized with acute ischemic stroke who were followed for 90 days to determine functional outcome.SettingPatient were hospitalized at facilities across the United States.ParticipantsWe created a harmonized cohort of individual patients (N=1653) from the NINDS tPA, ALIAS part 2, IMS-III, DEFUSE 3, and FAST-MAG trials. We split the cohort into balanced derivation and validation samples.InterventionsNot applicable.Main outcome measuresThe primary outcome was persistent arm impairment, defined as a National Institutes of Health Stroke Scale (NIHSS) arm domain score of 2 to 4 at 90 days in patients who had a 24-hour NIHSS arm score of 1 or more. We used least absolute shrinkage and selection operator regression to determine the elements of the persistent upper extremity impairment (PUPPI) index, which we validated as a predictive tool.ResultsWe included 1653 patients (827 derivation, 826 validation), of whom 803 (48.6%) had persistent arm impairment. The PUPPI index gives 1 point each for age 55 years or older and NIHSS values of worse arm (4), worse leg (>2), facial palsy (3), and total NIHSS (≥10). The optimal cutpoint for the PUPPI index was 3 or greater, at which the area under the curve was greater than 0.75 for the derivation and validation cohorts and when using NIHSS values from either 24 hours or in a subacute or discharge time window. Results were similar across different levels of stroke severity.ConclusionThe PUPPI index uses readily available information to accurately predict persistent upper extremity motor impairment at 90 days poststroke. The PUPPI index can be administered in minutes and could be used as inclusion criterion in recovery-related clinical trials or, with additional development, as a prognostic tool for patients, caregivers, and clinicians.

Defect detection of trains is of great significance for operation safety and maintenance efficiency for railway maintenance. Nowadays, China railway system utilizes high-speed line scan cameras to capture images of critical parts of moving trains. The visual inspection on the images still heavily relies on manual interpretation. To reduce the labor requirements, we propose a novel two-stage deep learning based framework for component defect detection of moving trains. The proposed framework is composed of two major successive stages: detecting train components by using our proposed hierarchical object detection scheme (HOD), and detecting component defects based on multiple neural networks and image processing methods. Our proposed HOD can effectively detect and localize train components from large to small in a hierarchical way. Furthermore, a gated feature fusion method that can extract and combine the hierarchical contextual features and spatial contexts is also proposed to improve the performance. To the best of our knowledge, it is the first time in the literature that component defect detection of moving trains is systematically analyzed. Extensive experiments on real images from China railway system have demonstrated that our framework outperforms the state-of-the-art baselines significantly.

Objective Older adults are one of the fastest growing age groups seeking emergency care for suicidal ideation and self-harm. Timely follow-up outpatient mental healthcare is important to suicide prevention, yet little is known about predictors of care continuity following hospital discharge. This study identified patient-, hospital-, and regional-level factors associated with 7-day follow-up outpatient mental healthcare in suicidal older adults. Methods Retrospective cohort analysis using 2015 Medicare data for adults aged ≥65 years hospitalized for suicidal ideation, suicide attempt, or deliberate self-harm (n = 27,257) linked with the American Hospital Association survey and Area Health Resource File. Rates and adjusted risk ratios stratified by patient, hospital, and regional variables were assessed for 7-day follow-up outpatient mental healthcare. Results Overall, 30.3% of patients received follow-up mental healthcare within 7 days of discharge. However, follow-up rates were higher for patients with any mental healthcare within 30 days prehospitalization (43.7%) compared to patients with no recent mental healthcare (15.7%). Longer length of stay and care in psychiatric hospitals were associated with higher odds of follow-up. For patients with no mental healthcare in the 30 days prehospitalization, discharge from hospitals that were large, system-affiliated, academic medical centers, or provided hospitalist-based care were associated with lower odds of follow-up. Females were more likely to receive 7-day follow-up, whereas non-white patients were less likely to receive follow-up care. Conclusion Timely follow-up is influenced by multiple patient, hospital, and community characteristics. Findings highlight the need for quality improvement to promote successful transitions from inpatient to outpatient care.

BACKGROUND There is an ongoing debate about whether neoadjuvant radiation therapy is associated with higher rates of postoperative complications after head and neck reconstruction. Herle et al. conducted a systematic review in 2014 of 24 studies, finding higher complication rates in irradiated fields. We sought to perform an exhaustive updated systematic review and meta-analysis. METHODS We conducted an updated systematic review of the literature, as outlined in our protocol, which was registered on PROSPERO. Databases included Medline, Embase, Cochrane Central, and Web of Science. There were no limits placed on the date range, place of publication, or origin. Exclusion criteria included patients less than 18 years of age, studies with less than 20 participants (n < 20), case studies, skull base reconstructions, and local tissue rearrangements. The combined results of the studies and relative risks (RR) were calculated. RESULTS 53 studies were included for analysis, including 5,086 free flaps in an irradiated field, and 9,110 free flaps in a non-irradiated field. Of the 53 studies, 21 studies overlapped with those discussed in Herle et al.'s study, with a total of 32 additional studies. Neoadjuvant radiation was found to be a statistically significant risk factor for postoperative complications (RR 1.579, P < 0.001), total flap failure (RR, 1.565; P < 0.001), and fistula (RR, 1.810; P < 0.001). Our work reaffirmed the findings of the Herle et al. STUDY CONCLUSION Preoperative radiation was associated with a statistically significant increase in the risk of total flap failure, fistula, and total complications but not partial flap failure. These high-morbidity complications must be taken into consideration when determining which patients should receive neoadjuvant radiation therapy.

BACKGROUND: Obesity is correlated with many biomarkers, but the extent to which these correlate with underlying body composition is poorly understood. OBJECTIVES: Our objectives were to 1) describe/compare distinct contributions of fat/lean mass with BMI–metabolite correlations and 2) identify novel metabolite biomarkers of fat/lean mass. METHODS: The Alberta Physical Activity and Breast Cancer Prevention Trial was a 2-center randomized trial of healthy, inactive, postmenopausal women (n = 304). BMI (in kg/m(2)) was calculated using weight and height, whereas DXA estimated fat/lean mass. Ultra-performance liquid chromatography and mass spectrometry measured relative concentrations of serum metabolite concentrations. We estimated partial Pearson correlations between 1052 metabolites and BMI, adjusting for age, smoking, and site. Fat mass index (FMI; kg/m(2)) and lean mass index (LMI; kg/m(2)) correlations were estimated similarly, with mutual adjustment to evaluate independent effects. RESULTS: Using a Bonferroni-corrected α level 0.20), 25 modestly (0.10 ≤ |r| ≤ 0.20), and 7 virtually null (|r| < 0.10). Ten of 53 were more strongly correlated with LMI than with FMI. Examining non–BMI-correlated metabolites, 6 robustly correlated with FMI (|r| = 0.24–0.31) and 2 with LMI (r = 0.25–0.26). For these, correlations for fat and lean mass were in opposing directions compared with BMI-correlated metabolites, in which correlations were mostly in the same direction. CONCLUSIONS: Our results demonstrate how a thorough evaluation of the components of fat and lean mass, along with BMI, provides a more accurate assessment of the associations between body composition and metabolites than BMI alone. Such an assessment makes evident that some metabolites correlated with BMI predominantly reflect lean mass rather than fat, and some metabolites related to body composition are not correlated with BMI. Correctly characterizing these relations is important for an accurate understanding of how and why obesity is associated with disease.

BACKGROUND: The time course and longitudinal impact of the COVID -19 pandemic on surgical education(SE) and learner well-being (LWB)is unknown. MATERIAL AND METHODS: Check-in surveys were distributed to Surgery Program Directors and Department Chairs, including general surgery and surgical specialties, in the summer and winter of 2020 and compared to a survey from spring 2020. Statistical associations for items with self-reported ACGME Stage and the survey period were assessed using categorical analysis. RESULTS: Stage 3 institutions were reported in spring (30%), summer (4%) [p 

Purpose We aim to assess the healthcare value achieved from a shared savings program for pediatric appendectomy. Methods All appendectomy patients covered by our health plan were included. Quality targets were 15% reduction in time to surgery, length of stay, readmission rate, and patient satisfaction. Quality targets and costs for an appendectomy episode in two 6-month performance periods (PP1, PP2) were compared to baseline. Results 640 patients were included (baseline:317, PP1:167, PP2:156). No quality targets were met in PP1. Two quality targets were met during PP2: readmission rate (−57%) and patient satisfaction. No savings were realized because the cost reduction threshold (−9%) was not met during PP1 (+1.7%) or PP2 (−0.4%). Conclusions Payer-provider partnerships can be a platform for testing value-based reimbursement models. Setting achievable targets, identifying affectable quality metrics, considering case mix index, and allowing sufficient time for interventions to generate cost savings should be considered in future programs.

PURPOSE/OBJECTIVE(S) To determine if patients with unfavorable intermediate-risk (UIR), high-risk (HR), or very high-risk (VHR) prostate cancer (PCa) treated with 125I interstitial brachytherapy benefit from androgen deprivation therapy (ADT). MATERIALS/METHODS We reviewed our institutional database of patients with UIR, HR, or VHR PCa, per 2018 NCCN risk classification, treated with definitive 125I interstitial brachytherapy with or without ADT from 1998-2017. Outcomes including biochemical failure (bF), distant metastases (DM), and overall survival (OS) were analyzed with the Kaplan-Meier method and Cox proportional hazards regression. PCa-specific mortality (PCSM) was analyzed with Fine-Gray competing-risk regression. RESULTS Of 1033 patients, 262 (25%) received ADT and 771 (75%) did not. Median ADT duration was 6 months. By risk group, 764 (74%) patients were UIR, 219 (21%) HR, and 50 (5%) VHR. ADT was more frequently given to HR (50%) and VHR (56%) patients compared to UIR (16%; p

Purpose: This study assessed the efficacy, safety, and pharmacokinetics of adavosertib in combination with four chemotherapy agents commonly used in patients with primary platinum-resistant ovarian cancer. Patients and Methods: Women with histologically or cytologically confirmed epithelial ovarian, fallopian tube, or peritoneal cancer with measurable disease were enrolled between January 2015 and January 2018 in this open-label, four-arm, multicenter, phase II study. Patients received adavosertib (oral capsules, 2 days on/5 days off or 3 days on/4 days off) in six cohorts from 175 mg once daily to 225 mg twice daily combined with gemcitabine, paclitaxel, carboplatin, or pegylated liposomal doxorubicin. The primary outcome measurement was overall response rate. Results: Three percent of patients (3/94) had confirmed complete response and 29% (27/94) had confirmed partial response. The response rate was highest with carboplatin plus weekly adavosertib, at 66.7%, with 100% disease control rate, and median progression-free survival of 12.0 months. The longest median duration of response was in the paclitaxel cohort (12.0 months). The most common grade ≥3 adverse events across all cohorts were neutropenia [45/94 (47.9%) patients], anemia [31/94 (33.0%)], thrombocytopenia [30/94 (31.9%)], and diarrhea and vomiting [10/94 (10.6%) each]. Conclusions: Adavosertib showed preliminary efficacy when combined with chemotherapy. The most promising treatment combination was adavosertib 225 mg twice daily on days 1–3, 8–10, and 15–17 plus carboplatin every 21 days. However, hematologic toxicity was more frequent than would be expected for carboplatin monotherapy, and the combination requires further study to optimize the dose, schedule, and supportive medications.

OBJECTIVE To analyze predictors, extent and functional implications associated with renal parenchymal volume replacement (PVR) by renal cell carcinoma (RCC) prior to intervention. This phenomenon is well-recognized yet not adequately studied, and, if severe, can influence management. MATERIALS AND METHODS A retrospective review was performed of partial nephrectomy (PN) and radical nephrectomy (RN) patients with available preoperative nuclear-renal-scan and imaging demonstrating solitary RCC with normal contralateral kidney. Normal renal parenchymal volume of each kidney was measured by free-hand scripting from preoperative axial images. Primary endpoint was percent PVR which was estimated assuming that the contralateral-kidney serves as a control: PVR = (volume contralateral kidney - volume ipsilateral kidney) normalized by volume contralateral kidney. Multivariable linear-regression analysis assessed factors associated with preoperative PVR. Further analysis evaluated the functional effect of PVR prior to surgery. RESULTS 146 PN and 136 RN patients with necessary studies were analyzed. For RN, the median PVR was 15% and a quarter of patients had PVR ≥27%. In contrast, PVR was negligible in PN patients for whom median preoperative parenchymal volumes were nearly identical in the ipsilateral/contralateral kidneys (179/180cc, respectively). PVR inversely correlated with preoperative renal function in the ipsilateral kidney (P

Background: Bariatric surgery leads to long-term remission and reduced incidence of diabetes, hypertension, and dyslipidemia. Short-term studies suggest reduction in specific fat depots may be more predictive of health improvement than reduced body mass index (BMI). Visceral, subcutaneous, epicardial, and liver fat, measured 11 years after bariatric surgery, were associated with long-term remission and incidence of diabetes, dyslipidemia, and hypertension. Methods: Fat depots an average of 11 (maximum 14) years after surgery were quantified by noncontrast computed tomography in subjects who did (N = 261; 86% gastric bypass) or did not (N = 243) have bariatric surgery. Multiple regression related fat depots to disease endpoints with and without adjustment for change in BMI and surgical status. Results: Visceral fat was 42% lower, subcutaneous fat 20% lower, epicardial fat 30% lower, and liver-to-spleen density ratio 9% higher at follow-up in the bariatric surgery group compared with the nonsurgery group (all P

Background Although several Utstein variables are known to independently improve survival, how they moderate the effect of emergency medical service (EMS) response times on survival is unknown. Objectives To quantify how public location, witnessed status, bystander CPR, and bystander AED shock individually and jointly moderate the effect of EMS response time delays on OHCA survival. Methods This retrospective cohort study was a secondary analysis of the Resuscitation Outcomes Consortium Epistry-Cardiac Arrest database (December 2005 to June 2015). We included all adult, non-traumatic, non-EMS witnessed, and EMS-treated OHCAs from eleven sites across the US and Canada. We trained a logistic regression model with standard Utstein control variables and interaction terms between EMS response time and the four aforementioned OHCA characteristics. Results 102,216 patients were included. Three of the four characteristics – witnessed OHCAs (OR = 0.962), bystander CPR (OR = 0.968) and public location (OR = 0.980) – increased the negative effect of a one-minute delay on the odds of survival. In contrast, a bystander AED shock decreased the negative effect of a one-minute response time delay on the odds of survival (OR = 1.064). The magnitude of the effect of a one-minute delay in EMS response time on the odds of survival ranged from 1.3% to 9.8% (average: 5.3%), depending on the underlying OHCA characteristics. Conclusions Delays in EMS response time had the largest reduction in survival odds for OHCAs that did not receive a bystander AED shock but were witnessed, occurred in public, and/or received bystander CPR. A bystander AED shock appears to be protective against a delay in EMS response time.

INTRODUCTION Studies have shown the benefit of intensive care unit (ICU) bundled protocols; however, they are primarily derived from medical patients. We hypothesized that patients and their medication profiles are different between critically ill medical, surgical, and trauma patients. METHODS The Pediatric Health Information System 2017 dataset was used to perform a retrospective cohort study of critically ill children. The pediatric medical, surgical, and trauma cohorts were separated based on ICD-10 codes. Data collected included demographics, secondary diagnoses, outcomes, and medication data. Medications were grouped as opiates, GABA-agonists, alpha-2 agonists, anti-psychotics, paralytics, and "other" sedatives. A non-parametric Kolmogorov-Smirnov test (KS test) and odds ratios (reference group: medical cohort) were calculated to compare medication administration between the study cohorts for the first 30 ICU days. RESULTS A total of 4488 critically ill children (medical 2078, surgical 1650, and trauma 760) were identified. The trauma cohort had increased incidence of delirium (medical 10.8%, surgical 11.5%, trauma 13.8%; p 50% received GABA-agonists on ICU days 0-30. With the KS test, there was a significant difference in administration of opiates, GABA-agonists, alpha-2 agonists, anti-psychotics, and "other" sedatives over the first 30 days in the ICU. Relative to medical patients, trauma patients had significantly higher odds of receiving anti-psychotics on ICU days 10-20 and 22-24. CONCLUSION Critically ill pediatric trauma, medical, and surgical patients are distinctly different patient populations with differing pharmacologic profiles for analgesia, sedation, and delirium. LEVEL OF EVIDENCE Level III (Retrospective Comparative Study).

Background In the present study, the authors aimed to compare the pharmacokinetics (PK) of micafungin in critically ill patients receiving continuous veno-venous hemofiltration (CVVH, 30 mL/kg/h) with those of patients receiving equidoses of hemodiafiltration (CVVHDF, 15 mL/kg/h + 15 mL/kg/h) and determine the optimal dosing regimen using the developed model. Methods Patients with septic shock undergoing continuous renal replacement therapy (CRRT) and receiving a conventional dose of 100 mg micafungin once daily were eligible for inclusion. Total micafungin plasma concentrations from eight CVVH sessions and eight CVVHDF sessions were subjected to a population PK analysis using Pmetrics. Validation of the model performance was reinforced by external validation. Monte Carlo simulations were performed considering the total ratio of free drug area under the curve (AUC) over 24 h to the minimum inhibitory concentration (MIC) (AUC0-24/MIC) in plasma. Results The median total body weight (min-max) was 94.8 (66-138) kg. Micafungin concentrations were best described by a two-compartmental PK model. No covariates, including CRRT modality (CVVH or CVVHDF), were retained in the final model. The mean parameter estimates (standard deviation) were 0.96 (0.32) L/h for clearance and 14.8 (5.3) L for the central compartment volume. External validation confirmed the performance of the developed PK model. Dosing simulations did not support the use of standard 100 mg daily dosing, except for Candida albicans on the second day of therapy. A loading dose of 150 mg followed by 100 mg daily reached the probability of target attainment for all C. albicans and C. glabrata, but not for C. krusei and C. parapsilosis. Conclusions No difference was observed in micafungin PK between equidoses of CVVH and CVVHDF. A loading dose of 150 mg is required to achieve the PK/PD target for less susceptible Candida species from the first day of therapy.

Objective Reducing suicidal behavior among patients in the healthcare system requires accurate and explainable predictive models of suicide risk across diverse healthcare settings. Materials and Methods We proposed a general targeted fusion learning framework that can be used to build a tailored risk prediction model for any specific healthcare setting, drawing on information fusion from a separate more comprehensive dataset with indirect sample linkage through patient similarities. As a proof of concept, we predicted suicide-related hospitalizations for pediatric patients in a limited statewide Hospital Inpatient Discharge Dataset (HIDD) fused with a more comprehensive medical All-Payer Claims Database (APCD) from Connecticut. Results We built a suicide risk prediction model for the source data (APCD) and calculated patient risk scores. Patient similarity scores between patients in the source and target (HIDD) datasets using their demographic characteristics and diagnosis codes were assessed. A fused risk score was generated for each patient in the target dataset using our proposed targeted fusion framework. With this model, the averaged sensitivities at 90% and 95% specificity improved by 67% and 171%, and the positive predictive values for the combined fusion model improved 64% and 135% compared to the conventional model. Discussion and Conclusions We proposed a general targeted fusion learning framework that can be used to build a tailored predictive model for any specific healthcare setting. Results from this study suggest we can improve the performance of predictive models in specific target settings without complete integration of the raw records from external data sources.

Background The American College of Surgeon (ACS), American Surgical Association (ASA), Association of Women Surgeons (AWS), and Society of Black Academic Surgeons (SBAS) partnered to gain insight into whether inequities found in surgical society presidents may be present earlier. Methods ACS, ASA, AWS, and SBAS presidents’ CVs were assessed for demographics and scholastic achievements at the time of first faculty appointment. Regression analyses controlling for age were performed to determine relative differences across societies. Results 66 of the 68 presidents’ CVs were received and assessed (97% response rate). 50% of AWS future presidents were hired as Instructors rather than Assistant professors, compared to 29.4% of SBAS, 25% of ASA and 29.4% of ACS. The future ACS, ASA, and SBAS presidents had more total publications than the AWS presidents, but similar numbers of 1st and Sr. author publications. Conclusion Gender inequities in academic surgeon hiring practices and perceived scholastic success may be present at first hire.

Objective To describe the practice patterns and outcomes of patients with stage 3B endometrial cancer. Methods We queried the National Cancer Database for all surgically staged, stage 3 patients between 2012 and 2016. Patients who received any pre-operative therapy were excluded. Demographics, tumor factors, and adjuvant therapy for the stage 3 substages were compared. Logistic regression was used to identify factors associated with adjuvant therapy. Kaplan Meier curves were generated and compared using the log-rank test. Multivariable Cox Proportional Hazards Model was used to adjust for prognostic factors. Findings with p Results Of 7363 patients with stage 3 disease, 478 (6%) had stage 3B; 1732 (23%) had stage 3A, 3457 (48%) had stage 3C1, and 1696 (23%) had stage 3C2 disease. Post-surgical treatment consisted of: combined chemotherapy (CT) and radiation (RT) (49%), CT alone (28%), RT alone (9%), 14% received no postoperative therapy. Among all stage 3 substages, patients with stage 3B disease were the least likely to receive any CT, and the most likely to receive RT alone. After adjusting for known prognostic factors, patients with stage 3A (Hazard ratio (HR) of death = 0.64) and 3C1 (HR of death = 0.79) disease had significantly worse overall survival compared to stage 3B; survival was not demonstrably different from patients with stage 3C2 disease. Patients with stage 3B disease who received CT + RT had the best overall survival. Conclusion Survival of patients with stage 3B disease is similar to that of patients with para-aortic node metastases and is inferior to all others with stage 3 endometrial cancer. Less frequent CT and a higher rate of post-operative RT alone, describes a distinct practice from that seen in other stage 3 patients.

OBJECTIVE: Emergency departments (EDs) are well positioned to deliver suicide prevention services. This study examined hospital and community correlates of recommended practices. METHOD: This study examined results from a national survey of ED nursing directors (N=513) focusing on hospital- and community-level variation in the routine provision of four recommended practices: suicide risk screening, access to means assessment, safety planning, and follow-up referrals. RESULTS: Few significant differences existed between hospitals that routinely provided these practices and hospitals that did not. Routine scheduling of follow-up appointments was associated with presence of formal contractual relationships with outpatient mental health facilities (p=0.005). Routine provision of safety planning was associated with higher levels of psychiatrist or psychologist staffing (p=.03). DISCUSSION: There were few differences in the hospital and community characteristics between EDs that routinely provided recommended care and those that did not, suggesting few structural barriers to implementation of these recommended services for high-risk ED patients.

OBJECTIVES To describe micafungin pharmacokinetic (PK) alterations of sepsis induced in piglets and to determine whether the porcine septic model is able to predict the PK of micafungin in septic patients at the plasma and peritoneal sites. METHODS From healthy (n = 8) and septic piglet group (n = 16), total micafungin concentrations were subject to a population PK analysis using Monolix®. Data from 16 septic humans patients from others studies was used to compare micafungin PK between septic piglets and septic patients. RESULTS Sepsis induced in piglets slightly alters the total clearance and the volume of distribution, while inter-compartment clearance is increased (from 3.88 to 5.74 L/h) as well as the penetration into peritoneal cavity (from 61 to 90%). In septic human patients, PK parameters are similar except for the Vd, which is corrected by an allometric factor based on the body weight of each species. Micafungin penetration into peritoneal cavity of humans is lower than in septic piglets (40 versus 90%). CONCLUSIONS The sepsis induced in the porcine model alters the PK of micafungin comparable to that in humans. In addition, micafungin PK is similar between these two species at the plasma level taking into account the allometric relationship of the body weight of these species on the central volume of distribution. The porcine septic plasma model would be able to predict the micafungin PK in the septic patients. However, further studies on peritoneal penetration are necessary to characterize this inter-species difference.

Background Z scores are the method of choice to report dimensions in pediatric echocardiography. Z scores based on body surface area (BSA) have been shown to cause systematic biases in overweight and obese children. Using aortic valve (AoV) diameters as a paradigm, the aims of this study were to assess the magnitude of z score underestimation in children with increased body mass index z score (BMI-z) and to determine if a predicting model with height and weight as independent predictors would minimise this bias. Methods In this multicentre, retrospective, cross-sectional study, 15,006 normal echocardiograms in healthy children 1-18 years old were analyzed. Residual associations with body size were assessed for previously published z score. BSA-based and alternate prediction models based on height and weight were developed and validated in separate training and validation samples. Results Existing BSA-based z scores incompletely adjusted for weight, BSA, and BMI-z and led to an underestimation of > 0.8 z score units in subjects with higher BMI-z compared with lean subjects. BSA-based models led to overestimation of predicted AoV diameters with increasing weight or BMI-z. Models using height and weight as independent predictors improved adjustment with body size, including in children with higher BMI-z. Conclusions BSA-based models result in underestimation of z scores in patients with high BMI-z. Prediction models using height and weight as independent predictors minimise residual associations with body size and generate well fitted predicted values that could apply to all children, including those with low or high BMI-z.

OBJECTIVE: To investigate (a) the magnitude of the independent associations of neighborhood‐level and person‐level social risk factors (SRFs) with quality, (b) whether neighborhood‐level SRF associations may be proxies for person‐level SRF associations, and (c) how the association of person‐level SRFs and quality varies by neighborhood‐level SRFs. DATA SOURCES: 2015–2016 Medicare Advantage HEDIS data, Medicare beneficiary administrative data, and 2016 American Community Survey (ACS). STUDY DESIGN: Mixed effects linear regression models (1) estimated overall inequities by neighborhood‐level and person‐level SRFs, (2) compared neighborhood‐level associations to person‐level associations, and (3) tested the interactions of person‐level SRFs with corresponding neighborhood‐level SRFs. DATA COLLECTION/EXTRACTION METHODS: Beneficiary‐level SES and disability administrative data and five‐year ACS neighborhood‐level SRF information were each linked to HEDIS data. PRINCIPAL FINDINGS: For all or nearly all HEDIS measures, quality was worse in neighborhoods lower in SES and in neighborhoods with higher proportions of residents with a disability. Quality by neighborhood racial and ethnic composition was mixed. Accounting for corresponding person‐level SRFs reduced neighborhood SRF associations by 25% for disability, 43% for SES, and 74%–102% for racial and ethnic groups. Person‐level SRF coefficients were not consistently reduced in models that added neighborhood‐level SRFs. In 19 of 35 instances, there were significant (p

Online learning represents a family of machine learning methods, where a learner attempts to tackle some predictive (or any type of decision-making) task by learning from a sequence of data instances one by one at each time. The goal of online learning is to maximize the accuracy/correctness for the sequence of predictions/decisions made by the online learner given the knowledge of correct answers to previous prediction/learning tasks and possibly additional information. This is in contrast to traditional batch or offline machine learning methods that are often designed to learn a model from the entire training data set at once. Online learning has become a promising technique for learning from continuous streams of data in many real-world applications. This survey aims to provide a comprehensive survey of the online machine learning literature through a systematic review of basic ideas and key principles and a proper categorization of different algorithms and techniques. Generally speaking, according to the types of learning tasks and the forms of feedback information, the existing online learning works can be classified into three major categories: (i) online supervised learning where full feedback information is always available, (ii) online learning with limited feedback, and (iii) online unsupervised learning where no feedback is available. Due to space limitation, the survey will be mainly focused on the first category, but also briefly cover some basics of the other two categories. Finally, we also discuss some open issues and attempt to shed light on potential future research directions in this field.

The current crisis in US agriculture has seen a growing number of farm bankruptcies. The result has been a “hollowing out” of the middle in the distribution of farm size, with growth in the number of both very large and small farms. A growing number of farms are operated by part-time farmers whose primary occupation is no longer farming. What are some implications of these changes for the well-being of rural communities? Using U.S. non-metropolitan (rural) county level data, we explore how the changing nature of farming has affected community well-being as understood through seven diverse measures. In general, we find conflicting evidence on the impact of farm structure on community well-being. In the end our results suggest that the logical conclusion of what has become known as the Goldschmidt hypothesis line of thinking that the movement to fewer and larger farms will necessarily harm the well-being of the larger community is not supported by the data.

SARS-CoV-2 has profoundly affected the way healthcare is delivered and has created significant strain on medical facilities globally. As a result, hospitals have had to continuously adapt in order to provide optimal patient care while minimizing the risk of SARS-CoV-2 transmission, particularly in the surgical setting. Texas Children's Hospital developed a set of protocols for surgical screening and clearance of patients in the context of the COVID-19 pandemic. These screening protocols were designed to mitigate the risk of exposing patients and healthcare providers to SARS-CoV-2 and have evolved significantly as a result of the emerging changes in medicine, technology, and governmental regulations. In this article, we share the reasoning behind the development, implementation, and successive modification of our institutional screening protocols.

Regionalization of rectal cancer surgery may lead to worse disease free survival owing to longer travel time to reach a high volume center yet no study has evaluated this relationship at a single high volume center volume center.This was a retrospective review of rectal cancer patients undergoing surgery from 2009 to 2019 at a single high volume center. Patients were divided into two groups based on travel time. The primary outcome was disease-free survival (DFS). Additional outcomes included treatment within 60 d of diagnosis, completeness of preoperative staging, and evaluation by a colorectal surgeon prior to initiation of treatment.A lower proportion of patients with long travel time began definitive treatment within 60 d of diagnosis (74.0% versus 84.0%, P= 0.01) or were seen by the treating colorectal surgeon before beginning definitive treatment (74.8% versus 85.4%, P0.01). On multivariable logistic regression analysis, patients with long travel time were significantly less likely to begin definitive treatment within 60 d of diagnosis (OR = 0.54; 95% CI = 0.31-0.93) or to be evaluated by a colorectal surgeon prior to initiating treatment (OR = 0.45; 95% CI = 0.25-0.80). There were no significant differences in DFS based on travel time.Although patients with long travel times may be vulnerable to delayed, lower quality rectal cancer care, there is no difference in DFS when definitive surgery is performed at a high volume canter. Ongoing research is needed to identify explanations for delays in treatment to ensure all patients receive the highest quality care.

Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision. Recent years have witnessed remarkable progress of image super-resolution using deep learning techniques. This article aims to provide a comprehensive survey on recent advances of image super-resolution using deep learning approaches. In general, we can roughly group the existing studies of SR techniques into three major categories: supervised SR, unsupervised SR, and domain-specific SR. In addition, we also cover some other important issues, such as publicly available benchmark datasets and performance evaluation metrics. Finally, we conclude this survey by highlighting several future directions and open issues which should be further addressed by the community in the future., Comment: Accepted by IEEE TPAMI

Multiparametric magnetic resonance imaging (mpMRI) plays several valuable roles in preoperative staging of adenocarcinoma of the prostate gland, including detection of clinically significant disease, determination of extraglandular extension, and assessment of nodal disease. The Prostate Imaging Reporting and Data System (PI-RADS) establishes certain acceptable technical standards for mpMRI. These technical parameters allow for consistent image quality, enabling accurate detection and staging of disease; this in turn has significant implications for treatment recommendations. The prostate gland has a characteristic zonal anatomy, with cancers arising from the peripheral zone tending to demonstrate more aggressive histologic features. The acquisition of several sequences as part of mpMRI protocol allows for assessment of locoregional disease as well as regional and distant lymphadenopathy. The local staging of prostate cancer with mpMRI is reviewed in this article.

Introduction The Nuss procedure is the most common and preferred operative correction of pectus excavatum. Surgeon preference and patient factors can result in variations in Nuss procedure technique. We hypothesize that certain techniques are associated with increased risk of complications. Materials and Methods We performed a single-center retrospective review of Nuss operations from 2016 to 2020. Variations in intraoperative techniques included sternal elevator (SE) use, number of bars placed, and usage of bilateral stabilizing sutures. Patient demographics, intraoperative data, and postoperative outcomes were reported as median with interquartile ranges or percentages. Statistical significance (p Results Two hundred and sixty-five patients were identified. Patients repaired with two bars were older with a larger Haller index (HI). Patient demographics were not significantly different for SE or stabilizing suture use. Placement of two bars was associated with significantly increased risk of readmission. Similarly, SE use was associated with increased risk of pleural effusion and readmission. Finally, the use of bilateral stabilizing sutures resulted in less frequent slipped bars without statistical significance. Conclusion Older patients with a larger HI were more likely to need two bars placed to repair pectus excavatum. Placement of multiple bars and SE use are associated with significantly higher odds of certain complications.

For decades, cognitive and behavioral therapies (CBTs) have been tested in randomized controlled trials for specific psychiatric syndromes that were assumed to represent expressions of latent diseases. Although these protocols were more effective as compared to psychological control conditions, placebo treatments, and even active pharmacotherapies, further advancement in efficacy and dissemination has been inhibited by a failure to focus on processes of change. This picture appears now to be evolving, due both to a collapse of the idea that mental disorders can be classified into distinct, discrete categories, and to the more central attention given to processes of change in newer, so-called "third-wave" CBTs. Here we review the context for this historic progress and evaluate the impact of these newer methods and models, not as protocols for treating syndromes, but as ways of targeting an expanded range of processes of change. Five key features of "third-wave" therapies are underlined: a focus on context and function; the view that new models and methods should build on other strands of CBT; a focus on broad and flexible repertoires vs. an approach to signs and symptoms; applying processes to the clinician, not just the client; and expanding into more complex issues historically more characteristic of humanistic, existential, analytic, or system-oriented approaches. We argue that these newer methods can be considered in the context of an idiographic approach to process-based functional analysis. Psychological processes of change can be organized into six dimensions: cognition, affect, attention, self, motivation and overt behavior. Several important processes of change combine two or more of these dimensions. Tailoring intervention strategies to target the appropriate processes in a given individual would be a major advance in psychiatry and an important step toward precision mental health care.

To examine factors contributing to completion of a patient-reported outcome (PRO) measure in patients undergoing laser vision correction.Retrospective, population-based study.All patients who underwent primary laser vision correction with a target of plano from July 1, 2014, to June 30, 2016, at a large refractive surgery center.Patients were asked to complete a PRO measure at the time of their preoperative and months 1 and 3 postoperative visits. Characteristics between patients who attended and did not attend the follow-up visits and completed and did not complete the PRO measure were compared. A logistic regression was performed to identify factors associated with likelihood of follow-up and completion of PRO measure. An inverse probability censoring weighted model was created to account for selective loss to follow-up and used to adjust the PRO satisfaction measure.Completion of the PRO measure at 1 and 3 months.A total of 37 043 patients were identified. Of these, 20 501 completed a 1-month postoperative PRO measure and 10 474 completed a 3-month postoperative PRO measure. Patients completing a PRO measure were more likely to be older, be female, have had photorefractive keratectomy (PRK), have completed a preoperative PRO measure, and have had a preoperative hyperopic correction (P0.001 for all comparisons). For every line of postoperative uncorrected acuity worse than 20/16, the odds ratio of completing a PRO measure was 1.33 (95% confidence interval [CI], 1.30-1.36, P0.001) at 1 month and 1.29 (95% CI, 1.26-1.33, P 0.001) at 3 months. At 1 month, there was no difference between the raw and model-adjusted rates of satisfaction with vision, but at 3 months the adjusted rate was significantly higher than the raw rate.Patients with worse objective visual outcomes were more likely to complete PRO measures in this population-based study. In a setting with loss to follow-up, PRO measures require methods to address missing data for correct interpretation.

Hepatic splenosis, a rare entity, is the ectopic implantation of splenic tissue into the hepatic parenchyma, most often incidentally seen in patients with a history of splenic trauma and splenectomy. We present a unique case of hepatic splenosis in a patient with hemosiderosis and splenectomy following the incidental finding of hepatic masses on pretransplant imaging. Final diagnosis was made based on cross-sectional imaging characteristics matching that of the left upper quadrant splenules alone. We discuss common characteristics of hepatic splenosis on multiple modalities, the effect of iron deposition on the imaging characteristics of hepatic and splenic tissue and how that impacts the differential and diagnosis. This case highlights the unique imaging characteristics hepatic splenosis can have particularly in the setting of hemosiderosis. Hepatic splenosis imaging diagnosis has a significant advantage over tissue diagnosis in terms of decreased risk, time and cost.

Objective The goal of the 1-year Advanced Gastrointestinal (AGI) surgery fellowship is to train the general surgeon to perform advanced and complex operations that they had insufficient experience with in residency training. This study examines the case logs of AGI fellows that have completed Society for Surgery of the Alimentary Tract (SSAT)-sponsored Fellowship Council (FC)-accredited AGI fellowships to determine the role of these fellowships in providing complex gastrointestinal operative experience. Design/Participants Institutional Review Board-approved retrospective surgical case log analysis. Case logs of 60 AGI fellows in 12 different AGI fellowships from 2014 to 2019 were requested by the SSAT and provided in a de-identified format from the FC. Cases were categorized as colorectal surgery, anus, hernia-abdomen, hernia inguinal, esophagus-hiatal hernia, esophagus-Heller, pancreas, liver, bile duct, diagnostic/therapeutic esophagogastroduodenoscopy (EGD), diagnostic/therapeutic colonoscopy, thoracic esophagus, thoracic lung, spleen, thyroid, diaphragm, gastric, abdomen, adrenal/kidney, bariatric, diagnostic/therapeutic bronchoscopy, kidney/liver/pancreas transplant, and trauma. Results AGI fellows performed a mean of 345 cases per year (range: 184-558). Our results showed that 5 programs provided >30 colorectal cases, 6 provided >50 hernia (hernia-abdomen and hernia-inguinal) cases, 8 provided >25 hiatal hernia cases, 2 provided >100 endoscopy cases (diagnostic/therapeutic EGD and diagnostic/therapeutic colonoscopy), 6 provided >30 gastric cases, 3 provided >100 bariatric cases, 6 provided >10 pancreas cases, 3 provided >10 liver cases, and 4 provided >6 biliary cases. Conclusion SSAT-sponsored FC-accredited AGI fellowship programs provide a wide array of training in complex gastrointestinal surgeries. Most programs provide broad training in hiatal work, colorectal surgery, hepato-pancreato-biliary surgery, and abdominal wall reconstruction. This FC-accredited AGI training paradigm prepares trainees for broad-based complex abdominal surgery, an area that is sorely needed to augment insufficient experience in many general surgical training programs.

BACKGROUND Mathematical optimization can be used to place automated external defibrillators (AEDs) in locations that maximize coverage of out-of-hospital cardiac arrests (OHCAs). We sought to determine whether optimization can improve alignment between AED locations and OHCA counts across levels of socioeconomic deprivation. METHODS All suspected OHCAs and registered AEDs in Scotland between Jan. 2011 and Sept. 2017 were included and mapped to a corresponding socioeconomic deprivation level using the Scottish Index of Multiple Deprivation (SIMD). We used mathematical optimization to determine optimal locations for placing 10%, 25%, 50%, and 100% additional AEDs, as well as locations for relocating existing AEDs. For each AED placement policy, we examined the impact on AED distribution and OHCA "coverage" (suspected OHCA occurring within 100 m of AED) with respect to SIMD quintiles. RESULTS We identified 49,432 suspected OHCAs and 1532 AEDs. The distribution of existing AED locations across SIMD quintiles significantly differed from the distribution of suspected OHCAs (P

In this work, a novel 670-GHz integrated direct-detection receiver using 25-nm InP HEMT technology is presented. This is the first demonstration of an integrated direct-detection radiometer architecture at these frequencies. The receiver exhibits a noise figure of 11.4 dB with a total dc power consumption of 0.25 W. The integrated receiver measures only 0.8 cm × 1.3 cm × 4.8 cm (0.3” × 0.5” × 1.9”). These results show that transistor-based direct-detection receivers are a viable technology for submillimeter-wave applications, with low SWaP with no compromise in performance.

Neural oscillations may contain important information pertaining to stroke rehabilitation. This study examined the predictive performance of electroencephalography‐derived neural oscillations following stroke using a data‐driven approach. Individuals with stroke admitted to an inpatient rehabilitation facility completed a resting‐state electroencephalography recording and structural neuroimaging around the time of admission and motor testing at admission and discharge. Using a lasso regression model with cross‐validation, we determined the extent of motor recovery (admission to discharge change in Functional Independence Measurement motor subscale score) prediction from electroencephalography, baseline motor status, and corticospinal tract injury. In 27 participants, coherence in a 1–30 Hz band between leads overlying ipsilesional primary motor cortex and 16 leads over bilateral hemispheres predicted 61.8% of the variance in motor recovery. High beta (20–30 Hz) and alpha (8–12 Hz) frequencies contributed most to the model demonstrating both positive and negative associations with motor recovery, including high beta leads in supplementary motor areas and ipsilesional ventral premotor and parietal regions and alpha leads overlying contralesional temporal–parietal and ipsilesional parietal regions. Electroencephalography power, baseline motor status, and corticospinal tract injury did not significantly predict motor recovery during hospitalization (R 2 = 0–6.2%). Findings underscore the relevance of oscillatory synchronization in early stroke rehabilitation while highlighting contributions from beta and alpha frequency bands and frontal, parietal, and temporal–parietal regions overlooked by traditional hypothesis‐driven prediction models., This study examined the predictive performance of electroencephalography‐derived neural oscillations following stroke using a data‐driven approach. In 27 participants, EEG coherence in a 1–30 Hz band between leads overlying ipsilesional primary motor cortex and 16 leads over bilateral hemispheres predicted 61.8% of the variance in motor recovery.

To determine minimally clinically important differences (MCIDs) for Disability Rating Scale (DRS), Fugl-Meyer Upper Extremity Subscale (FM-UE), Fugl-Meyer Lower Extremity Subscale (FM-LE), and Fugl-Meyer Motor Scale (FMMS) in patients with chronic motor deficits secondary to traumatic brain injury (TBI).Retrospective analysis from the 1-year, double-blind, randomized, surgical sham-controlled, Phase 2 STEMTRA trial (NCT02416492), in which patients with chronic motor deficits secondary to TBI (N = 61) underwent intracerebral stereotactic implantation of modified bone marrow-derived mesenchymal stromal (SB623) cells. MCIDs for DRS, FM-UE, FM-LE, and FMMS were triangulated with distribution-based, anchor-based, and Delphi panel estimates.Triangulated MCIDs were: 1) -1.5 points for the Disability Rating Scale; 2) 6.2 points for the Fugl-Meyer Upper Extremity Subscale; 3) 3.2 points for the Fugl-Meyer Lower Extremity Subscale; and 4) 8.4 points for the Fugl-Meyer Motor Scale.For the first time in the setting of patients with chronic motor deficits secondary to TBI, this study reports triangulated MCIDs for: 1) DRS, a measure of global outcome; and 2) Fugl-Meyer Scales, measures of motor impairment. These findings guide the use of DRS and Fugl-Meyer Scales in the assessment of global disability outcome and motor impairment in future TBI clinical trials.

N-acetylcysteine (NAC) is the only clinically approved antidote against acetaminophen (APAP) hepatotoxicity. Despite its efficacy in patients treated early after APAP overdose, NAC has been implicated in impairing liver recovery in mice. More recently, 4-methylpyrazole (4MP, Fomepizole) emerged as a potential antidote in the mouse APAP hepatotoxicity model. The objective of this manuscript was to verify the detrimental effect of NAC and its potential mechanism and assess whether 4MP has the same liability. C57BL/6J mice were treated with 300 mg/kg APAP; 9 h after APAP and every 12 h after that, the animals received either 100 mg/kg NAC or 184.5 mg/kg 4MP. At 24 or 48 h after APAP, parameters of liver injury, mitochondrial biogenesis and cell proliferation were evaluated. Delayed NAC treatment had no effect on APAP-induced liver injury at 24 h but reduced the decline of plasma ALT activities and prevented the shrinkage of the areas of necrosis at 48 h. This effect correlated with down-regulation of key activators of mitochondrial biogenesis (AMPK, PGC-1α, Nrf1/2, TFAM) and reduced expression of Tom 20 (mitochondrial mass) and PCNA (cell proliferation). In contrast, 4MP attenuated liver injury at 24 h and promoted recovery at 48 h, which correlated with enhanced mitochondrial biogenesis and hepatocyte proliferation. In human hepatocytes, 4MP demonstrated higher efficacy in preventing cell death compared to NAC when treated at 18 h after APAP. Thus, due to the wider treatment window and lack of detrimental effects on recovery, it appears that at least in preclinical models, 4MP is superior to NAC as an antidote against APAP overdose.

This AUA Guideline focuses on evaluation/counseling/management of adult patients with clinically-localized renal masses suspicious for cancer, including solid-enhancing tumors and Bosniak 3/4 complex-cystic lesions.The Renal Mass and Localized Renal Cancer guideline underwent an update literature review which resulted in the 2021 amendment. When sufficient evidence existed, the body of evidence was assigned a strength rating of A (high), B (moderate), or C (low) for support of Strong, Moderate, or Conditional Recommendations. In the absence of sufficient evidence, additional information is provided as Clinical Principles and Expert Opinions (table 1[Table: see text]).Great progress has been made regarding the evaluation/management of clinically-localized renal masses. These guidelines provide updated, evidence-based recommendations regarding evaluation/counseling including the evolving role of renal-mass-biopsy (RMB). Given great variability of clinical/oncologic/functional characteristics, index patients are not utilized and the panel advocates individualized counseling/management. Options for intervention (partial-nephrectomy (PN), radical-nephrectomy (RN), and thermal-ablation (TA)) are reviewed including recent data about comparative-effectiveness/potential morbidities. Oncologic issues are prioritized while recognizing the importance of functional-outcomes for survivorship. Granular criteria for RN are provided to help reduce overutilization of RN while also avoiding imprudent PN. Priority for PN is recommended for clinical T1a lesions, along with selective utilization of TA, which has good efficacy for tumors≤3.0 cm. Recommendations for genetic-counseling have been revised and considerations for adjuvant-therapies are addressed. Active-surveillance and follow-up after intervention are discussed in an adjunctive article.Several factors require consideration during counseling/management of patients with clinically-localized renal masses including general health/comorbidities, oncologic-considerations, functional-consequences, and relative efficacy/potential morbidities of various management-strategies.

Fracture detection by artificial intelligence and especially Deep Convolutional Neural Networks (DCNN) is a topic of growing interest in current orthopaedic and radiological research. As learning a DCNN usually needs a large amount of training data, mostly frequent fractures as well as conventional X-ray are used. Therefore, less common fractures like acetabular fractures (AF) are underrepresented in the literature. The aim of this pilot study was to establish a DCNN for detection of AF using computer tomography (CT) scans.Patients with an acetabular fracture were identified from the monocentric consecutive pelvic injury registry at the BG Trauma Center XXX from 01/2003 - 12/2019. All patients with unilateral AF and CT scans available in DICOM-format were included for further processing. All datasets were automatically anonymised and digitally post-processed. Extraction of the relevant region of interests was performed and the technique of data augmentation (DA) was implemented to artificially increase the number of training samples. A DCNN based on Med3D was used for autonomous fracture detection, using global average pooling (GAP) to reduce overfitting.From a total of 2,340 patients with a pelvic fracture, 654 patients suffered from an AF. After screening and post-processing of the datasets, a total of 159 datasets were enrolled for training of the algorithm. A random assignment into training datasets (80%) and test datasets (20%) was performed. The technique of bone area extraction, DA and GAP increased the accuracy of fracture detection from 58.8% (native DCNN) up to an accuracy of 82.8% despite the low number of datasets.The accuracy of fracture detection of our trained DCNN is comparable to published values despite the low number of training datasets. The techniques of bone extraction, DA and GAP are useful for increasing the detection rates of rare fractures by a DCNN. Based on the used DCNN in combination with the described techniques from this pilot study, the possibility of an automatic fracture classification of AF is under investigation in a multicentre study.Die automatische Frakturerkennung mithilfe von künstlicher Intelligenz (KI) ist derzeit ein wichtiges Thema in der unfallchirurgischen und radiologischen Forschung. Vor allem bei der Nutzung von „Deep Convolutional Neural Networks“ (DCNN) ist allerdings üblicherweise eine große Anzahl an Trainingsdatensätzen erforderlich, um gute Erkennungsraten zu erzielen, weswegen diese Methoden bisher i. d. R. an sehr häufigen Frakturen und an Röntgenbildern angewendet werden. Demgegenüber stellen seltene Frakturen wie die Azetabulumfraktur (AF) eine Herausforderung für neuronale Netzwerke dar. Ziel dieser Pilotstudie war es daher, einen Algorithmus zu entwickeln, mit dessen Hilfe AF anhand von CT-Bildern zuverlässig automatisch erkannt werden können.Patienten mit einer einseitigen AF wurden aus dem monozentrischen Beckenregister der BG Unfallklinik Tübingen über einen Zeitraum von 01/2003 bis 12/2019 identifiziert. Patienten, bei denen CT-Datensätze im DICOM-Format vorlagen, wurden weiterverarbeitet. Die automatische Weiterverarbeitung beinhaltete die Anonymisierung sowie verschiedene Methoden der Knochenextraktion, der „Data Augmentation“ (DA) sowie des Global Average Poolings (GAP), um die Datensätze für das Training des auf Basis von Med3D erstellten DCNN vorzubereiten.Von insgesamt 2340 Patienten mit einer Beckenfraktur erlitten 654 eine AF. Nach Weiterverarbeitung der Datensätze konnten 159 Datensätze für das Training verwendet werden. 80% davon wurden als Trainingsdatensätze randomisiert, 20% wurden als Testdatensätze randomisiert. Durch die Techniken der DA und des GAP konnte die Erkennungsrate des DCNN trotz der geringen Zahl an Trainingsdatensätzen von 58,8 auf 82,8% gesteigert werden.Die Erkennungsrate unseres DCNN ist trotz der im Vergleich niedrigen Zahl an Trainingsdatensätzen vergleichbar mit Literaturangaben bei häufigeren Frakturen. Die Techniken der Knochenextraktion, verbunden mit der DA und der GAP, helfen bei selten auftretenden Frakturen, die Erkennungsraten eines DCNN zu erhöhen. Mit den Techniken und dem DCNN aus dieser Pilotstudie soll in einer Multicenterstudie an einer größeren Anzahl an Datensätzen die Möglichkeit einer automatischen Klassifizierung von AF untersucht werden.

Prevention of premature death in patients with chronic epilepsy remains a major challenge. Multiple pathophysiologic factors have been implicated, with intense investigation of cardiorespiratory mechanisms. Up to four in five patients with chronic epilepsy exhibit cardiovascular comorbidities. These findings led us to propose the concept of an "epileptic heart," defined as "a heart and coronary vasculature damaged by chronic epilepsy as a result of repeated surges in catecholamines and hypoxemia leading to electrical and mechanical dysfunction." Among the most prominent changes documented in the literature are high incidence of myocardial infarction and arrhythmia, altered autonomic tone, diastolic dysfunction, hyperlipidemia, and accelerated atherosclerosis. This suite of pathologic changes prompted us to propose for the first time in this review a syndromic approach for improved clinical detection of the epileptic heart condition. In this review, we discuss the key pathophysiologic mechanisms underlying the candidate criteria along with standard and novel techniques that permit evaluation of each of these factors. Specifically, we present evidence of the utility of standard 12-lead, ambulatory, and multiday patch-based electrocardiograms, along with measures of cardiac electrical instability, including T-wave alternans, heart rate variability to detect altered autonomic tone, echocardiography to detect diastolic dysfunction, and plasma biomarkers for assessing hyperlipidemia and accelerated atherosclerosis. Ultimately, the proposed clinical syndromic approach is intended to improve monitoring and evaluation of cardiac risk in patients with chronic epilepsy to foster improved therapeutic strategies to reduce premature cardiac death.

The Genitourinary Pathology Society (GUPS) reviewed recent advances in renal neoplasia, particularly post-2016 World Health Organization (WHO) classification, to provide an update on existing entities, including diagnostic criteria, molecular correlates, and updated nomenclature. Key prognostic features for clear cell renal cell carcinoma (RCC) remain WHO/ISUP grade, AJCC/pTNM stage, coagulative necrosis, and rhabdoid and sarcomatoid differentiation. Accrual of subclonal genetic alterations in clear cell RCC including SETD2, PBRM1, BAP1, loss of chromosome 14q and 9p are associated with variable prognosis, patterns of metastasis, and vulnerability to therapies. Recent National Comprehensive Cancer Network (NCCN) guidelines increasingly adopt immunotherapeutic agents in advanced RCC, including RCC with rhabdoid and sarcomatoid changes. Papillary RCC subtyping is no longer recommended, as WHO/ISUP grade and tumor architecture better predict outcome. New papillary RCC variants/patterns include biphasic, solid, Warthin-like, and papillary renal neoplasm with reverse polarity. For tumors with 'borderline' features between oncocytoma and chromophobe RCC, a term "oncocytic renal neoplasm of low malignant potential, not further classified" is proposed. Clear cell papillary RCC may warrant reclassification as a tumor of low malignant potential. Tubulocystic RCC should only be diagnosed when morphologically pure. MiTF family translocation RCCs exhibit varied morphologic patterns and fusion partners. TFEB-amplified RCC occurs in older patients and is associated with more aggressive behavior. Acquired cystic disease (ACD) RCC-like cysts are likely precursors of ACD-RCC. The diagnosis of renal medullary carcinoma requires a negative SMARCB1 (INI-1) expression and sickle cell trait/disease. Mucinous tubular and spindle cell carcinoma (MTSCC) can be distinguished from papillary RCC with overlapping morphology by losses of chromosomes 1, 4, 6, 8, 9, 13, 14, 15, and 22. MTSCC with adverse histologic features shows frequent CDKN2A/2B (9p) deletions. BRAF mutations unify the metanephric family of tumors. The term "fumarate hydratase deficient RCC" ("FH-deficient RCC") is preferred over "hereditary leiomyomatosis and RCC syndrome-associated RCC". A low threshold for FH, 2SC, and SDHB immunohistochemistry is recommended in difficult to classify RCCs, particularly those with eosinophilic morphology, occurring in younger patients. Current evidence does not support existence of a unique tumor subtype occurring after chemotherapy/radiation in early childhood.

As more people receive coronavirus disease 2019 (COVID-19) vaccinations, the side effects of the vaccines will become more apparent. One reported side effect that has come to light is unilateral axillary lymphadenopathy ipsilateral to the vaccination site. In general, unilateral axillary lymphadenopathy has a broad differential including malignancy, infection, autoimmune disorder, and iatrogenic etiologies. We present a case of a previously healthy 38-year-old woman who received her first dose of Pfizer COVID-19 vaccination 3 days prior to presenting to the emergency department complaining of 2 weeks of abdominal pain and 20-pound unintentional weight loss. Unilateral axillary lymphadenopathy, ipsilateral to the vaccination site, was found on a contrast-enhanced computed tomography examination of the chest, abdomen, and pelvis. Subsequent diagnostic mammograms did not demonstrate evidence of malignancy; however, axillary ultrasound again revealed nonspecific lymphadenopathy. A short-term follow-up axillary ultrasound was recommended, rather than a lymph node biopsy, given the history of recent vaccination. At clinical follow-up, the patient's abdominal pain resolved and no further weight loss was noted. This case report discusses the key components and workup recommendation of unilateral axillary lymphadenopathy in the setting of COVID-19 vaccination.