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Idiopathic pulmonary fibrosis (IPF) is a progressive, often fatal form of interstitial lung disease (ILD) characterized by the absence of a known cause and usual interstitial pneumonitis (UIP) pattern on chest CT imaging and/or histopathology. Distinguishing UIP/IPF from other ILD subtypes is essential given different treatments and prognosis. Lung biopsy is necessary when noninvasive data are insufficient to render a confident diagnosis.Can we improve noninvasive diagnosis of UIP be improved by predicting ILD histopathology from CT scans by using deep learning?This study retrospectively identified a cohort of 1,239 patients in a multicenter database with pathologically proven ILD who had chest CT imaging. Each case was assigned a label based on histopathologic diagnosis (UIP or non-UIP). A custom deep learning model was trained to predict class labels from CT images (training set, n = 894) and was evaluated on a 198-patient test set. Separately, two subspecialty-trained radiologists manually labeled each CT scan in the test set according to the 2018 American Thoracic Society IPF guidelines. The performance of the model in predicting histopathologic class was compared against radiologists' performance by using area under the receiver-operating characteristic curve as the primary metric. Deep learning model reproducibility was compared against intra-rater and inter-rater radiologist reproducibility.For the entire cohort, mean patient age was 62 ± 12 years, and 605 patients were female (49%). Deep learning performance was superior to visual analysis in predicting histopathologic diagnosis (area under the receiver-operating characteristic curve, 0.87 vs 0.80, respectively; P .05). Deep learning model reproducibility was significantly greater than radiologist inter-rater and intra-rater reproducibility (95% CI for difference in Krippendorff's alpha did not include zero).Deep learning may be superior to visual assessment in predicting UIP/IPF histopathology from CT imaging and may serve as an alternative to invasive lung biopsy.

PURPOSE: Childhood and adult adversities occur more frequently among women and persons of colour, possibly influencing racial/ethnic disparities in substance use behaviours. This study investigates how childhood and adult adversities cluster together by race/ethnicity and how these adversity clusters predict binge drinking, tobacco, e-cigarette, and marijuana use in women. METHODS: Latent class analysis (LCA) was used in a combined sample from the 2015 and 2018 Minnesota College Student Health Survey to identify clusters of childhood adversities plus highly correlated adult adversities among Asian, Black, Latina, and White women aged 18-25. The LCA method allowed unique clusters of adversity to emerge from these data, stratified by race/ethnicity. Each substance use outcome was regressed on each adversity cluster across each race/ethnicity group. RESULTS: A seven-cluster model was selected for White women, a five-cluster model for Black women, and four-cluster models for Asian and Latina women. Differences across racial/ethnic clusters included the presence of a lifetime sexual assault only cluster in the White, Black, and Asian women that did not exist among Latina women. Across all racial/ethnic groups and substance use outcomes, the high adversity cluster exhibited the greatest risk. Significant racial/ethnic disparities were observed across several substance use behaviours; these were narrowed substantially among women with fewer adversities. CONCLUSIONS: In this study, subtyping women according to their histories of adversity revealed differences in substance use risk. The reduced substance use disparities found among those with lower adversities suggest that prevention of adversities may advance health equity.

Background & aims Increased intrapancreatic fat is associated with pancreatic diseases; however, there are no established objective diagnostic criteria for fatty pancreas. On non-contrast computed tomography (CT), adipose tissue shows negative Hounsfield Unit (HU) attenuations (−150 to −30 HU). Using whole organ segmentation on non-contrast CT, we aimed to describe whole gland pancreatic attenuation and establish 5th and 10th percentile thresholds across a spectrum of age and sex. Subsequently, we aimed to evaluate the association between low pancreatic HU and risk of pancreatic ductal adenocarcinoma (PDAC). Methods The whole pancreas was segmented in 19,456 images from 469 non-contrast CT scans. A convolutional neural network was trained to assist pancreas segmentation. Mean pancreatic HU, volume, and body composition metrics were calculated. The lower 5th and 10th percentile for mean pancreatic HU were identified, examining the association with age and sex. Pre-diagnostic CT scans from patients who later developed PDAC were compared to cancer-free controls. Results Less than 5th percentile mean pancreatic HU was significantly associated with increase in BMI (OR 1.07; 1.03–1.11), visceral fat (OR 1.37; 1.15–1.64), total abdominal fat (OR 1.12; 1.03–1.22), and diabetes mellitus type 1 (OR 6.76; 1.68–27.28). Compared to controls, pre-diagnostic scans in PDAC cases had lower mean whole gland pancreatic HU (−0.2 vs 7.8, p = 0.026). Conclusion In this study, we report age and sex-specific distribution of pancreatic whole-gland CT attenuation. Compared to controls, mean whole gland pancreatic HU is significantly lower in the pre-diagnostic phase of PDAC.

Objective In this study, we examine associations between objectively measured weekend night vs. school night sleep patterns, weight status, and weight-related behaviors among adolescents. Design Cross-sectional study. Setting Five Minnesota high schools that started early (7:30 or 7:45 AM) in Spring 2016. Participants Ninth grade students, ages 14.5-16 years (n = 284). Measurements Students completed surveys, had body measurements taken, and wore sleep (wrist) actigraphs for 1 week (n = 284). We examined weekend night-school night differences in sleep duration and sleep timing. We then assessed whether these factors were related to weight status and weight-related behaviors (eating behaviors, food consumption, physical activity, beverage consumption) using generalized linear mixed models. Results On average, students slept 1.5 hours (95% confidence interval 1.3-1.7) more and had a sleep midpoint 1.9 hours (1.8-2.1) later on weekend nights compared to school nights. Female students had larger increases in sleep duration on weekend nights than males but similar timing differences. Sleep duration differences were uncorrelated with sleep timing differences (r = 0.01). Neither duration nor timing differences were associated with overweight, obesity, or any of the eating behaviors we examined. However, sleeping longer on weekend nights than on school nights was associated with lower probability of being active 6-7 days per week (p = .02). Conclusions Adolescents have substantial sleep duration and sleep timing differences on weekend nights vs. school nights. While these differences may not be associated with weight status or weight-related behaviors, they reflect the reality that most adolescents have schedules that restrict their sleep.

Introduction: The management of follicular (FN) and Hurthle cell neoplasms (HCN) is often difficult because of the uncertainty of malignancy risk. We aimed to assess characteristics of benign and malignant follicular and Hurthle neoplasms based on their shape and size. Materials and methods: Patients with Follicular adenoma (FA) or carcinoma (FC) and Hurthle Cell adenoma (HCA) or carcinoma (HCC) who had preoperative ultrasonography were included. Demographic data were retrieved. Size and shape of the nodules were measured. Logistic regression analyses and odds ratios were performed. Results: A total of 115 nodules with 57 carcinomas and 58 adenomas were included. Logistic regression analysis shows that the nodule height and the patient age are predictors of malignancy (p-values = 0.001 and 0.042). A cutoff value of nodule height ≥ 4 cm. produces an odds ratio of 4.5 (p-value = 0.006). An age ≥ 55 year-old demonstrates an odds ratio of 2.4-3.6 (p-value = 0.03). Taller-than-wide shape was not statistically significant (p-value = 0.613). Conclusion: FC and HCC are larger than FA and HCA in size, with a cutoff at 4 cm. Increasing age increases the odds of malignancy with a cutoff at 55 year-old. Taller-than-wide shape is not a predictor of malignancy.

Objective Few studies have examined associations between vascular compression and postoperative pain relief in patients undergoing microvascular decompression (MVD) for treatment of medically refractory type 1 trigeminal neuralgia (TN). The authors sought to examine for associations between vascular compression and postoperative pain relief to determine the utility of preoperative magnetic resonance imaging (MRI) in surgical decision-making for TN. Methods The charts of 59 patients who underwent 60 MVDs for TN between 2007 and 2017 at a single academic institution were reviewed. Patient demographics, the presence of compressing vessel on preoperative MRI and intraoperatively, complications, follow-up time, performance of a partial sensory rhizotomy, and pain resolution at most recent follow-up were recorded. Sensitivity and specificity of MRI for detecting vascular compression were calculated and associations between preoperative and intraoperative evidence of vascular compression with postoperative pain relief were examined. Results Sensitivity and specificity of preoperative MRI determined through blinded reads by the senior author were 65.3% (95% confidence interval, 13.5–32.0) and 90.9% (95% confidence interval, 86.1–100.0), respectively. Overall, 76.3% of patients were pain free at most recent follow-up. Preoperative MRI and intraoperative evidence of vascular compression were not associated with postoperative pain relief at most recent follow-up (P = 0.47 and 0.43, respectively). Conclusions The findings of lower sensitivity and poor interrater reliability of MRI, as well as a lack of association between compressive vessel and postoperative pain relief reported in this study, suggest the decision to pursue MVD for TN should be based more heavily on classic symptomatic presentation over preoperative evidence of vascular compression.

Background Total shoulder arthroplasty is an accepted treatment for glenohumeral osteoarthritis. The Arthrex Eclipse shoulder prosthesis is a stemless, canal-sparing humeral prosthesis with bone ingrowth capacity on the trunnion, as well as through the fenestrated hollow screw, that provides both diaphyseal and metaphyseal load sharing and fixation. Methods Between 2013 and 2018, 16 sites in the United States enrolled 327 patients (Eclipse in 237 and Arthrex Univers II in 90). All patients had glenohumeral arthritis refractory to nonsurgical care. Strict exclusion criteria were applied to avoid confounding factors such as severe patient comorbidities, arthritis not consistent with osteoarthritis, and medical or prior surgical treatments that may have affected outcomes. Patients were randomized to the Eclipse or Univers II group via block randomization. Results In total, 149 Eclipse and 76 Univers II patients reached 2-year follow-up (139 Eclipse patients [93.3%] and 68 Univers II patients [89.5%] had complete data). The success rate using the Composite Clinical Success score was 95% in the Eclipse group vs. 89.7% in the Univers II group. No patient exhibited radiographic evidence of substantial humeral radiolucency, humeral migration, or subsidence at any point. Reoperations were performed in 7 patients (3.2%) in the Eclipse group and 3 (3.8%) in the Univers II group. Conclusion The Arthrex Eclipse shoulder prosthesis is a safe and effective humeral implant for patients with glenohumeral arthritis at 2-year follow-up, with no differences in outcomes compared with the Univers II shoulder prosthesis.

Growth hormone-producing pituitary adenomas are divided into two clinically relevant histologic subtypes, densely (DG-A) and sparsely (SG-A) granulated. Histologic subtype was evaluated in a large cohort of patients with acromegaly, separating DG-A and SG-A, and correlated with clinicopathological characteristics. Patients with acromegaly undergoing surgery as initial therapy between 1995 and 2015 were identified. Histologic subtype was determined by keratin expression pattern with CAM5.2 and correlated with clinical and imaging parameters, somatostatin receptor subtype 2 (SST2) expression, post-surgical remission rate, and application of a prognostic scoring system incorporating proliferation and invasiveness. One hundred thirty-one patients were included. Tumors were classified as DG-A (75, 57.3%), SG-A (29, 22.1%), intermediate (I-A) (9, 6.9%), and unclassified (18, 13.7%) when CAM5.2 was negative. DG-A and I-A were combined for analysis (DG/I-A) and compared to SG-A. Age, gender, proliferation, and post-surgical remission did not differ. SG-A were larger [2 vs. 1.5 cm (median), p = 0.03], more frequently invasive [65.5% vs. 32.9%, p = 0.004], associated with higher MRI T2-weighted signal ratio [1.01 vs. 0.82 (median), p = 0.01], showed lower SST2 expression (p

PurposeTo estimate the effect of Healthy, Hunger-Free Kids Act of 2010 (HHFKA) implementation on dietary quality of all US school-aged children and adolescents, and examine whether those effects differed by demographic group.MethodsWe used survey regression on 2007-2016 National Health and Nutrition Examination Survey (NHANES) data to estimate the proportion of energy intake from school foods and the association between school food intake and dietary quality, before and after HHFKA passage/implementation. To account for demographic changes in the US population over time, inverse probability weighting was employed. The product of the proportion of energy from school foods and the association between school food intake and dietary quality estimated the effect of HHFKA implementation on dietary quality.ResultsSchool food intake quantity remained stable during the study period. HHFKA implementation improved students’ dietary quality by 4.3 Healthy Eating Index-2010 (HEI) points (95% CI: 2.5, 6.1) on days when school foods were eaten, and by 1.3 HEI points (95% CI: 0.73, 1.8) averaged over all days annually.ConclusionsHHFKA implementation improved the total dietary quality of US school students. US students would benefit from eating school meals in the post-HHFKA era, and HHFKA regulations should not be relaxed.

Reverse total shoulder arthroplasty (RTSA) is an effective treatment option for many shoulder conditions. Historically, this surgical procedure was performed on an inpatient basis. There has been a recent trend to perform RTSA on an outpatient basis in proper candidates.All patients who underwent outpatient RTSA performed by a single surgeon between 2015 and 2017 were included. Demographic information and clinical outcome scores (American Shoulder and Elbow Surgeons, visual analog scale, and Single Assessment Numeric Evaluation scores), as well as data on complications, readmission, and revision surgery, were recorded. This group of patients was then compared with a cohort of patients who underwent RTSA in the inpatient setting during the same period.Overall, 241 patients (average age, 68.9 years; 52.3% female patients) underwent outpatient RTSA and were included. Patients who underwent outpatient RTSA showed significant improvements in all clinical outcome scores at both 1 and 2 year postoperatively (all P.0001). The control group of patients who underwent RTSA as inpatients consisted of 373 patients (average age, 72 years; 66% female patients). Significantly more controls had diabetes (P = .007), and controls had a higher body mass index (P = .022). No significant differences existed in improvements in clinical outcome scores between the inpatient and outpatient groups. Complication rates were significantly lower for outpatient cases than for inpatient controls (7.0% vs. 12.7%, P = .023).RTSA performed in an outpatient setting is a safe and reliable procedure that provides significant improvements in clinical outcome scores with fewer complications compared with inpatient RTSA.

The purpose of this study was to assess the prevalence of prenatal and postpartum depression screening in a large health system and to identify covariates for screening, with a specific focus in understanding disparities in practice. A retrospective cohort of women with deliveries in 2016 was created using electronic health records. Primary outcomes were depression screening during pregnancy and the first 3 months postpartum. Generalized linear mixed models with women nested within clinic were used to determine the effect of maternal and clinical characteristics on depression screening. The sample included 7548 women who received prenatal care at 35 clinics and delivered at 10 hospitals. The postpartum sample included 7059 women who returned within 3 months for a postpartum visit. Of those, 65.1% were screened for depression during pregnancy, and 64.4% were screened postpartum. Clinic site was the strongest predictor of screening, accounting for 23–30% of the variability in screening prevalence. There were no disparities identified with regard to prenatal screening. However, several disparities were identified for postpartum screening. After adjusting for clinic, women who were African American, Asian, and otherwise non-white (Native American, multi-racial) were less likely to be screened postpartum than white women (AOR (CI)’s 0.81 (0.65, 1.01), 0.64 (0.53, 0.77), and 0.44 (0.21, 0.96), respectively). Women insured by Medicaid/Medicare, a proxy for low-income, were less likely to be screened postpartum than women who were privately insured (AOR (CI) 0.78 (0.68, 0.89)). National guidelines support universal depression screening of pregnant and postpartum women. The current study found opportunities for improvement in order to achieve universal screening and to deliver equitable care.

BACKGROUND Nursing assistants have one of the highest injury rates in the U.S., but few population-based studies assess differential injury risk by occupation in nursing homes. This statewide study assessed differences in musculoskeletal disorders (MSDs) and patient handling injuries among direct care workers in Minnesota nursing homes. METHODS Indemnity claims from the Minnesota workers' compensation database were matched to time at risk from the Minnesota Nursing Home Report Card to estimate 2005 to 2016 injury and illness claim rates for certified nursing assistants (CNAs), licensed practical nurses (LPNs), and registered nurses (RNs). Associations between occupation and claim characteristics were assessed using multivariable regression modeling. RESULTS Indemnity claim rates were 3.68, 1.38, and 0.69 per 100 full-time equivalent workers for CNAs, LPNs, and RNs, respectively. Patient handling injuries comprised 62% of claims. Compared to RNs, CNAs had higher odds of an indemnity claim resulting from an MSD (odds ratio [OR] = 1.67; 95% confidence interval [CI], 1.31-2.14) or patient handling injury (OR = 1.89; 95% CI, 1.47-2.45) as opposed to another type of injury or illness. CNAs had lower odds of receiving temporary and permanent partial disability benefits and higher odds of receiving a stipulation settlement. CONCLUSIONS CNAs in Minnesota nursing homes are at heightened risk for lost time MSDs and patient handling injuries. Claims filed by CNAs are more frequently settled outside the regular workers' compensation benefit structure, an indication that the workers' compensation system is not providing adequate and timely benefits to these workers.

Background Provider orders for inappropriate advanced imaging, while rarely altering patient management, contribute enough to the strain on available health care resources, and therefore the United States Congress established the Appropriate Use Criteria Program. Objectives To examine whether co-designing clinical decision support (CDS) with referring providers will reduce barriers to adoption and facilitate more appropriate shoulder ultrasound (US) over magnetic resonance imaging (MRI) in diagnosing Veteran shoulder pain, given similar efficacies and only 5% MRI follow-up rate after shoulder US. Methods We used a theory-driven, convergent parallel mixed-methods approach to prospectively (1) determine medical providers' reasons for selecting MRI over US in diagnosing shoulder pain and identify barriers to ordering US, (2) co-design CDS, informed by provider interviews, to prompt appropriate US use, and (3) assess CDS impact on shoulder imaging use. CDS effectiveness in guiding appropriate shoulder imaging was evaluated through monthly monitoring of ordering data at our quaternary care Veterans Hospital. Key outcome measures were appropriate MRI/US use rates and transition to ordering US by both musculoskeletal specialist and generalist providers. We assessed differences in ordering using a generalized estimating equations logistic regression model. We compared continuous measures using mixed effects analysis of variance with log-transformed data. Results During December 2016 to March 2018, 569 (395 MRI, 174 US) shoulder advanced imaging examinations were ordered by 111 providers. CDS “co-designed” in collaboration with providers increased US from 17% (58/335) to 50% (116/234) of all orders (p Conclusion Partnering with medical providers to co-design CDS reduced barriers and prompted appropriate transition to US from MRI for shoulder pain diagnosis, promoting evidence-based practice. This approach can inform the development and implementation of other forms of CDS.

Stress regulation begins to develop in the first year of life through interactions with caregivers, particularly in the presence of stressors. High quality caregiving, characterized by maternal sensitivity and responsiveness to the infant's emotional cues, is particularly important in the development of infant stress regulation. The purpose of this study was to assess the longitudinal stability of, and associations between, maternal interactive behavior and infant stress regulation (indexed by positive infant affect and cortisol reactivity) in response to the Still Face paradigm (SF) in a cohort of infants born preterm (32 weeks gestation, N = 22) at four months and nine months (adjusted age). The percent of time mothers spent using specific interaction styles (contingent maternal interaction (CMI), attention seeking, and watching) during Play/baseline, Reunion#1, and Reunion#2 SF episodes was calculated To assess infant stress regulation, two indices were obtained at both 4 and 9 months during the SF paradigm: the percent of positive affect displayed over each SF episode (0-100%) and a neuroendocrine stress response score based on salivary cortisol reactivity. We found three non-significant but medium-large effect size differences between 4 and 9 month variables, with more positive findings at 9 months. Regarding stability within the 4 month and 9 month episodes, maternal behavior and positive infant affect were non-significantly but moderately stable, with maternal watching behavior being particularly stable. Positive infant affect stability between Reunion#1 and Reunion#2 at 4 months was significantly greater than positive infant affect stability across these two episodes at 9 months. Regarding stability across 4 and 9 month (same) episodes, CMI and positive infant affect showed modest but non-significant stability across (same) 4 and 9 month episodes. Finally, with positive infant affect at Reunion#2 as the "outcome" of the Still Face, CMI at both 4 month Play and Reunion#1 episodes were significantly correlated with this "outcome." Further, positive infant affect at Reunion#2 was more strongly correlated with CMI at both Play and Reunion#1 for 4 month old compared with 9 month old infants. Thus, sensitive care appears particularly important for younger infants born preterm, and mothers' behavior early in a repeated stress exposure paradigm may be particularly important in maintaining positive infant affect and in the development of infants' stress regulation more generally. Identifying the longer-term effects of early stress on infant stress regulation, and its relationship with maternal interaction, has important implications for understanding trajectories of regulatory patterns and deficits. A greater understanding of these relationships is particularly important given that greater emotion and neuroendocrine stress regulation in infancy have been directly associated with numerous positive outcomes throughout childhood.

Dislocation is the most common reason for early revision following total hip arthroplasty (THA). More than 40 years ago, Lewinnek et al. proposed an acetabular "safe zone" to avoid dislocation. While novel at the time, their study was substantially limited according to modern standards. The purpose of this study was to determine optimal acetabular cup positioning during THA as well as the effect of surgical approach on the topography of the acetabular safe zone and the hazard of dislocation.Primary THAs that had been performed at a single institution from 2000 to 2017 were reviewed. Acetabular inclination and anteversion were measured using an artificial intelligence neural network; they were validated with performance testing and comparison with blinded grading by 2 orthopaedic surgeons. Patient demographics and dislocation were noted during follow-up. Multivariable Cox proportional-hazards regression, including multidimensional analysis, was performed to define the 3D topography of the acetabular safe zone and its association with surgical approach.We followed 9,907 THAs in 8,081 patients (4,166 women and 3,915 men; 64 ± 13 years of age) for a mean of 5 ± 3 years (range: 2 to 16); 316 hips (3%) sustained a dislocation during follow-up. The mean acetabular inclination was 44° ± 7° and the mean anteversion was 32° ± 9°. Patients who did not sustain a dislocation had a mean anteversion of 32° ± 9° (median, 32°), with the historic ideal anteversion of 15° observed to be only in the third percentile among non-dislocating THAs (p0.001). Multivariable modeling demonstrated the lowest dislocation hazards at an inclination of 37° and an anteversion of 27°, with an ideal modern safe zone of 27° to 47° of inclination and 18° to 38° of anteversion. Three-dimensional analysis demonstrated a similar safe-zone location but significantly different safe-zone topography among surgical approaches (p = 0.03) and sexes (p = 0.02).Optimal acetabular positioning differs significantly from historic values, with increased anteversion providing decreased dislocation risk. Additionally, surgical approach and patient sex demonstrated clear effects on 3D safe-zone topography. Further study is needed to characterize the 3D interaction between acetabular positioning and spinopelvic as well as femoral-sided parameters.Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

Supportive school and community resources are associated with reduced risk of suicidality among lesbian, gay, bisexual, transgender, and queer/questioning (LGBTQ +) adolescents as well as their cisgender, heterosexual peers. This study examined whether adolescents attending schools and living in communities with more versus fewer LGBTQ +-supportive resources were at lower risk of a past-year suicide attempt. Data on sexual orientation and past-year suicide attempt were obtained from student surveys administered in 30 Massachusetts public high schools between 2014 and 2017 (N = 20,790). Data on school resources were obtained from a questionnaire administered to school officials, and community resources were assessed through internet searching. Modified Poisson generalized estimating equations tested associations between school and community LGBTQ +-supports and suicide attempt separately by sex/gender, adjusting for student, school, and community covariates. Several school resources and the availability of community-wide LGBTQ +-supportive resources were associated with lower risk of a suicide attempt among several subgroups of students, even after controlling for the presence of multiple school and community resources and covariates. For example, the risk of a suicide attempt among gay, bisexual and questioning boys in schools with a gender-neutral restroom was approximately half compared to gay, bisexual and questioning boys in schools without this resource. Past year suicide attempts were also significantly lower among questioning, RR = 0.56, CI [0.37-0.86], and heterosexual, RR = 0.59, CI [0.50-0.68], girls living in communities with more supportive resources compared to those in communities with fewer resources. LGBTQ +-supportive resources in schools and communities may be beneficial for all adolescents regardless of sexual orientation. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

OBJECTIVE Histology reveals that early active multiple sclerosis lesions can be classified into 3 main interindividually heterogeneous but intraindividually stable immunopathological patterns of active demyelination (patterns I-III). In patterns I and II, a T-cell- and macrophage-associated demyelination is suggested, with pattern II only showing signs of a humoral immune response. Pattern III is characterized by inflammatory lesions with an oligodendrocyte degeneration. Patterns suggest pathogenic heterogeneity, and we postulated that they have distinct magnetic resonance imaging (MRI) correlates that may serve as biomarkers. METHODS We evaluated in an international collaborative retrospective cohort study the MRI lesion characteristics of 789 conventional prebiopsy and follow-up MRIs in relation to their histopathologically classified immunopathological patterns (n = 161 subjects) and lesion edge features (n = 112). RESULTS A strong association of a ringlike enhancement and a hypointense T2-weighted (T2w) rim with patterns I and II, but not pattern III, was observed. Only a fraction of pattern III patients showed a ringlike enhancement, and this was always atypical. Ringlike enhancement and T2w rims colocalized, and ringlike enhancement showed a strong association with macrophage rims as shown by histology. A strong concordance of MRI lesion characteristics, meaning that different lesions showed the same features, was found when comparing biopsied and nonbiopsied lesions at a given time point, indicating lesion homogeneity within individual patients. INTERPRETATION We provide robust evidence that MRI characteristics reflect specific morphological features of multiple sclerosis immunopatterns and that ringlike enhancement and T2w hypointense rims might serve as a valuable noninvasive biomarker to differentiate pathological patterns of demyelination. ANN NEUROL 2021;90:440-454.

INTRODUCTION: Short sleep duration is exceedingly common among adolescents and has implications for healthy youth development. We sought to document associations between to adolescents’ sleep duration and characteristics of their schedules, behaviors, and wellbeing. METHODS: We used data from the baseline wave (9(th) grade year) of the START study, a cohort of 2,134 students in five Minnesota high schools to assess how self-reported sleep duration was associated with the prevalence of time-use characteristics (i.e. activity schedules, screen use), sleep-wake problems behaviors (i.e. trouble waking in the morning, calling asleep in class, etc.), and risk of depression. RESULTS: Shorter sleep duration was associated with various behaviors including greater computer/screen time and screen use after bed, a lower probability of doing homework, sports, and chores on school nights, and reporting that it takes at least 20 minutes to fall asleep on school days (p < 0.05). Suboptimal sleep duration was also associated with a higher probability of all reported sleep-wake problems as well as high risk of depressive symptoms (p < 0.05). CONCLUSIONS: Given that getting an optimal amount of sleep can protect youth from risk and promote healthy youth development, it is critical that we gain a greater understanding of correlates and consequences of short sleep duration in order to develop a sleep-friendly culture for youth.

Previous research has identified significant sexual orientation disparities in obesity. Contextual factors, like lack of anti-discrimination policies and gay-straight alliances, have been shown to be associated with health outcomes like poor mental health and substance use for lesbian, gay, and bisexual (LGB) individuals moreso than their heterosexual counterparts; however, little work to date has explored the role of contextual factors on sexual orientation disparities in obesity. Individual-level, serial cross-sectional data from the 2009-2013 College Student Health Survey, which includes 2- and 4-year college students (n = 29,118) attending 46 Minnesota colleges, were used. College-level data on LGB context were primarily collected through college websites. Multinomial logistic regression models were fit to examine associations between LGB college climate scores (including non-discrimination policies, presence of LGB or diversity-related student groups, LGB courses offered, LGB housing accommodations, and prevalence of LGB students) and students' weight status (underweight, healthy weight, overweight, and obese), based on self-reported height and weight. Higher LGB climate scores (i.e., more supportive environments) were associated with lower risk of overweight and obesity among all students. Sexual orientation-stratified findings among female students suggested that the association between LGB climate scores and weight status was similar to the overall female sample. Sexual orientation-stratified findings among male students showed a more complex relationship between LGB climate scores and weight status. More work is needed to disentangle the observed associations, and to investigate other contextual factors, like state- and city-level policies, social networks and norms, and individual resiliency within these contexts to better understand the contextual influences on sexual orientation disparities in obesity.

Summary Background Atrial fibrillation is frequently asymptomatic and thus underdetected but is associated with stroke, heart failure, and death. Existing screening methods require prolonged monitoring and are limited by cost and low yield. We aimed to develop a rapid, inexpensive, point-of-care means of identifying patients with atrial fibrillation using machine learning. Methods We developed an artificial intelligence (AI)-enabled electrocardiograph (ECG) using a convolutional neural network to detect the electrocardiographic signature of atrial fibrillation present during normal sinus rhythm using standard 10-second, 12-lead ECGs. We included all patients aged 18 years or older with at least one digital, normal sinus rhythm, standard 10-second, 12-lead ECG acquired in the supine position at the Mayo Clinic ECG laboratory between Dec 31, 1993, and July 21, 2017, with rhythm labels validated by trained personnel under cardiologist supervision. We classified patients with at least one ECG with a rhythm of atrial fibrillation or atrial flutter as positive for atrial fibrillation. We allocated ECGs to the training, internal validation, and testing datasets in a 7:1:2 ratio. We calculated the area under the curve (AUC) of the receiver operatoring characteristic curve for the internal validation dataset to select a probability threshold, which we applied to the testing dataset. We evaluated model performance on the testing dataset by calculating the AUC and the accuracy, sensitivity, specificity, and F1 score with two-sided 95% CIs. Findings We included 180 922 patients with 649 931 normal sinus rhythm ECGs for analysis: 454 789 ECGs recorded from 126 526 patients in the training dataset, 64 340 ECGs from 18 116 patients in the internal validation dataset, and 130 802 ECGs from 36 280 patients in the testing dataset. 3051 (8·4%) patients in the testing dataset had verified atrial fibrillation before the normal sinus rhythm ECG tested by the model. A single AI-enabled ECG identified atrial fibrillation with an AUC of 0·87 (95% CI 0·86–0·88), sensitivity of 79·0% (77·5–80·4), specificity of 79·5% (79·0–79·9), F1 score of 39·2% (38·1–40·3), and overall accuracy of 79·4% (79·0–79·9). Including all ECGs acquired during the first month of each patient's window of interest (ie, the study start date or 31 days before the first recorded atrial fibrillation ECG) increased the AUC to 0·90 (0·90–0·91), sensitivity to 82·3% (80·9–83·6), specificity to 83·4% (83·0–83·8), F1 score to 45·4% (44·2–46·5), and overall accuracy to 83·3% (83·0–83·7). Interpretation An AI-enabled ECG acquired during normal sinus rhythm permits identification at point of care of individuals with atrial fibrillation. Funding None.

Research has indicated that lesbian, gay, bisexual, and queer/questioning (LGBQ) adolescents have disproportionately high rates of substance use compared to heterosexual peers; yet certain features of schools and communities have been associated with lower substance use rates in this population. To advance this field, research examining multiple levels of influence using measures developed with youth input is needed. With community, school, and student data, this study tested hypotheses that LGBQ students attending high schools and living in communities with more LGBQ-supportive environments (assessed with a novel inventory tool) have lower odds of substance use behaviors (cigarette smoking, alcohol use, marijuana use, prescription drug misuse, and other drug use) than their peers in less supportive LGBQ environments. Multilevel models using data from 2454 LGBQ students (54.0% female, 63.9% non-Hispanic white) in 81 communities and adjusting for student and school covariates found that LGBQ adolescents who lived in areas with more community support had lower odds of frequent substance use, particularly among females. Expanding and strengthening community resources (e.g., LGBQ youth-serving organizations, LGBQ events such as a Pride parade, and LGBQ-friendly services) is recommended to further support LGBQ adolescents and reduce substance use disparities.

Smokers with serious mental illness (SMI) face individual, interpersonal, and healthcare provider barriers to cessation treatment utilization and smoking abstinence. Proactive outreach strategies are designed to address these barriers by promoting heightened contact with smokers and facilitating access to evidence-based treatments. The present study examined the effect of proactive outreach among smokers with SMI (n = 939) who were enrolled in the publicly subsidized Minnesota Health Care Programs (MHCP) and compared this effect to that observed among MHCP smokers without SMI (n = 1382). Relative to usual care, the intervention increased treatment utilization among those with SMI (52.1% vs 40.0%, p = 0.002) and without SMI (39.3% vs 25.4%, p < 0.001). The intervention also increased prolonged smoking abstinence among those with SMI (14.9% vs 9.4%, p = 0.010) and without SMI (17.7% vs 13.6%, p = 0.09). Findings suggest that implementation of proactive outreach within publicly subsidized healthcare systems may alleviate the burden of smoking in this vulnerable population. Trial Registration ClinicalTrials.gov identifier: NCT01123967.

Background: It is unclear which patients with recurrent patellar instability require a bony procedure in addition to medial patellofemoral ligament (MPFL) reconstruction. Purpose: To report 1- and 2-year outcomes of patients after isolated MPFL reconstruction performed for patellar instability regardless of patellar height, tibial tubercle–trochlear groove (TT-TG) distance, or trochlear dysplasia. Study Design: Case series; Level of evidence, 4. Methods: All patients with recurrent patellar instability and without significant unloadable chondral defects (Outerbridge grade IV), cartilage defects (especially inferior/lateral patella), previous failed surgery, or pain >50% as their chief complaint were prospectively enrolled beginning March 2014. All patients underwent primary, unilateral, isolated MPFL reconstruction regardless of concomitant bony pathology for treatment of recurrent patellar instability. Information on recurrent subjective instability, dislocations, ability to return to sport (RTS), and outcome scores was recorded at 1 and 2 years. TT-TG distance, patellar height (with the Caton-Deschamps index), and trochlear depth were measured. Results: Ninety patients (77% female; mean ± SD age, 19.4 ± 5.6 years) underwent MPFL reconstruction between March 2014 and August 2017: 72 (80%) reached 1-year follow-up, and 47 (52.2%) reached 2-year follow-up (mean follow-up, 2.2 years). Mean TT-TG distance was 14.7 ± 5.4 mm (range, –2.2 to 26.8 mm); mean patellar height, 1.2 ± 0.11 mm (range, 0.89-1.45 mm); and mean trochlear depth, 1.8 ± 1.4 mm (range, 0.05-6.85 mm). Ninety-six percent of patients at 1 year and 100% at 2 years had no self-reported patellofemoral instability; 1 patient experienced a redislocation at 3.5 years. RTS rates at 1 and 2 years were 90% and 88%, respectively. Mean time to RTS was 8.8 months. All patients had clinically and statistically significant improvement in mean Knee injury and Osteoarthritis Outcome Score–Quality of Life (32.7 to 72.0, P < .001), mean International Knee Documentation Committee subjective form (51.4 to 82.6, P < .001), and mean Kujala score (62.2 to 89.5, P < .001). No difference existed between 1- and 2-year outcome scores (all P > .05). Conclusion: At early follow-up of 1 and 2 years, isolated MPFL reconstruction is an effective treatment for patellar instability and provides significant improvements in outcome scores with a low redislocation/instability rate regardless of bony pathologies, including TT-TG distance, Caton-Deschamps index, and trochlear dysplasia. Future data from this cohort will be used to assess long-term outcomes.

BACKGROUND Neurosciences intensive care units (NICUs) provide institutional centers for specialized care. Despite a demonstrable reduction in morbidity and mortality, NICUs may experience significant capacity strain with resulting supraoptimal utilization and diseconomies of scale. We present an implementation study in the recognition and management of capacity strain within a large NICU in the United States. Excessive resource demand in an NICU creates significant operational issues. OBJECTIVE To evaluate the efficacy of a Reserved Bed Pilot Program (RBPP), implemented to maximize economies of scale, to reduce transfer declines due to lack of capacity, and to increase transfer volume for the neurosciences service-line. METHODS Key performance indicators (KPIs) were created to evaluate RBPP efficacy with respect to primary (strategic) objectives. Operational KPIs were established to evaluate changes in operational throughput for the neurosciences and other service-lines. For each KPI, pilot-period data were compared to the previous fiscal year. RESULTS RBPP implementation resulted in a significant increase in accepted transfer volume to the neurosciences service-line (P = .02). Transfer declines due to capacity decreased significantly (P = .01). Unit utilization significantly improved across service-line units relative to theoretical optima (P

Purpose The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challenge was created to show an application of machine learning (ML) and artificial intelligence (AI) in medical imaging, promote collaboration to catalyze AI model creation, and identify innovators in medical imaging. Materials and Methods The goal of this challenge was to solicit individuals and teams to create an algorithm or model using ML techniques that would accurately determine skeletal age in a curated data set of pediatric hand radiographs. The primary evaluation measure was the mean absolute distance (MAD) in months, which was calculated as the mean of the absolute values of the difference between the model estimates and those of the reference standard, bone age. Results A data set consisting of 14 236 hand radiographs (12 611 training set, 1425 validation set, 200 test set) was made available to registered challenge participants. A total of 260 individuals or teams registered on the Challenge website. A total of 105 submissions were uploaded from 48 unique users during the training, validation, and test phases. Almost all methods used deep neural network techniques based on one or more convolutional neural networks (CNNs). The best five results based on MAD were 4.2, 4.4, 4.4, 4.5, and 4.5 months, respectively. Conclusion The RSNA Pediatric Bone Age Machine Learning Challenge showed how a coordinated approach to solving a medical imaging problem can be successfully conducted. Future ML challenges will catalyze collaboration and development of ML tools and methods that can potentially improve diagnostic accuracy and patient care. © RSNA, 2018 Online supplemental material is available for this article. See also the editorial by Siegel in this issue.

BACKGROUND: Twenty-five single nucleotide polymorphisms (SNPs) are associated with adult diffuse glioma risk. We hypothesized that the inclusion of these 25 SNPs with age at diagnosis and sex could estimate risk of glioma as well as identify glioma subtypes. METHODS: Case-control design and multinomial logistic regression were used to develop models to estimate the risk of glioma development while accounting for histologic and molecular subtypes. Case-case design and logistic regression were used to develop models to predict isocitrate dehydrogenase (IDH) mutation status. A total of 1273 glioma cases and 443 controls from Mayo Clinic were used in the discovery set, and 852 glioma cases and 231 controls from UCSF were used in the validation set. All samples were genotyped using a custom Illumina OncoArray. RESULTS: Patients in the highest 5% of the risk score had more than a 14-fold increase in relative risk of developing an IDH mutant glioma. Large differences in lifetime absolute risk were observed at the extremes of the risk score percentile. For both IDH mutant 1p/19q non-codeleted glioma and IDH mutant 1p/19q codeleted glioma, the lifetime risk increased from almost null to 2.3% and almost null to 1.7%, respectively. The SNP-based model that predicted IDH mutation status had a validation concordance index of 0.85. CONCLUSIONS: These results suggest that germline genotyping can provide new tools for the initial management of newly discovered brain lesions. Given the low lifetime risk of glioma, risk scores will not be useful for population screening; however, they may be useful in certain clinically defined high-risk groups.

Introduction Concerns about the adverse effects of smoking cessation on alcohol use and mental health are a barrier to cessation for smokers with serious mental illness (SMI). The purpose of this study is to examine how incident smoking cessation affects binge drinking and symptoms of depression and anxiety among smokers with SMI. Methods The present study is a secondary analysis of the OPTIN trial, which demonstrated the effectiveness of proactive outreach for smoking cessation among Minnesota Health Care Programs enrollees. Participants with ICD-9 codes indicating schizophrenia spectrum disorders, psychotic disorders, bipolar disorders, or severe/recurrent major depressive disorder were categorized as having SMI (n = 939); remaining smokers were categorized as non-SMI (n = 1382). Multivariable regressions modeled the association between incident smoking cessation and binge drinking, PHQ-2 depression scores, and PROMIS anxiety scores in the two groups. Results Quitting smoking was not associated with binge drinking among those with SMI, but was associated with less binge drinking among those without SMI (p = 0.033). Quitting smoking was not associated with PHQ-2 depression scores among those with or without SMI. However, quitting smoking was associated with lower mean PROMIS anxiety scores for those with SMI (p = 0.031), but not those without SMI. Conclusion Quitting smoking was not associated with heightened binge drinking or symptoms of depression and anxiety among smokers with SMI. These findings suggest that quitting smoking is not detrimental for these patients, and provide evidential support for facilitating access to cessation resources for patients with serious mental illness who smoke.

Adaptive immune components are thought to exert non-overlapping roles in antimicrobial host defence, with antibodies targeting pathogens in the extracellular environment and T cells eliminating infection inside cells

BACKGROUND: Missing MRI sequences represent an obstacle in the development and use of deep learning (DL) models that require multiple inputs. PURPOSE: To determine if synthesizing brain MRI scans using generative adversarial networks (GANs) allows for the use of a DL model for brain lesion segmentation that requires T1-weighted images, postcontrast T1-weighted images, fluid-attenuated inversion recovery (FLAIR) images, and T2-weighted images. MATERIALS AND METHODS: In this retrospective study, brain MRI scans obtained between 2011 and 2019 were collected, and scenarios were simulated in which the T1-weighted images and FLAIR images were missing. Two GANs were trained, validated, and tested using 210 glioblastomas (GBMs) (Multimodal Brain Tumor Image Segmentation Benchmark [BRATS] 2017) to generate T1-weighted images from postcontrast T1-weighted images and FLAIR images from T2-weighted images. The quality of the generated images was evaluated with mean squared error (MSE) and the structural similarity index (SSI). The segmentations obtained with the generated scans were compared with those obtained with the original MRI scans using the dice similarity coefficient (DSC). The GANs were validated on sets of GBMs and central nervous system lymphomas from the authors’ institution to assess their generalizability. Statistical analysis was performed using the Mann-Whitney, Friedman, and Dunn tests. RESULTS: Two hundred ten GBMs from the BRATS data set and 46 GBMs (mean patient age, 58 years ± 11 [standard deviation]; 27 men [59%] and 19 women [41%]) and 21 central nervous system lymphomas (mean patient age, 67 years ± 13; 12 men [57%] and nine women [43%]) from the authors’ institution were evaluated. The median MSE for the generated T1-weighted images ranged from 0.005 to 0.013, and the median MSE for the generated FLAIR images ranged from 0.004 to 0.103. The median SSI ranged from 0.82 to 0.92 for the generated T1-weighted images and from 0.76 to 0.92 for the generated FLAIR images. The median DSCs for the segmentation of the whole lesion, the FLAIR hyperintensities, and the contrast-enhanced areas using the generated scans were 0.82, 0.71, and 0.92, respectively, when replacing both T1-weighted and FLAIR images; 0.84, 0.74, and 0.97 when replacing only the FLAIR images; and 0.97, 0.95, and 0.92 when replacing only the T1-weighted images. CONCLUSION: Brain MRI scans generated using generative adversarial networks can be used as deep learning model inputs in case MRI sequences are missing. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Zhong in this issue. An earlier incorrect version of this article appeared online. This article was corrected on April 12, 2021.

Maternal sepsis is a leading cause of morbidity and mortality during pregnancy. Escherichia coli is a primary cause of bacteremia in women and occurs more frequently during pregnancy. Several key outstanding questions remain regarding how to identify women at highest infection risk and how to boost immunity against E. coli infection during pregnancy. Here, we show that pregnancy-induced susceptibility to E. coli systemic infection extends to rodents as a model of human infection. Mice infected during pregnancy contain >100-fold-more recoverable bacteria in target tissues than nonpregnant controls. Infection leads to near complete fetal wastage that parallels placental plus congenital fetal invasion. Susceptibility in maternal tissues positively correlates with the number of concepti, suggesting important contributions by expanded placental-fetal target tissue. Remarkably, these pregnancy-induced susceptibility phenotypes are also efficiently overturned in mice with resolved sublethal infection prior to pregnancy. Preconceptual infection primes the accumulation of E. coli-specific IgG and IgM antibodies, and adoptive transfer of serum containing these antibodies to naive recipient mice protects against fetal wastage. Together, these results suggest that the lack of E. coli immunity may help discriminate individuals at risk during pregnancy, and that overriding susceptibility to E. coli prenatal infection by preconceptual priming is a potential strategy for boosting immunity in this physiological window of vulnerability.IMPORTANCE Pregnancy makes women especially vulnerable to infection. The most common cause of bloodstream infection during pregnancy is by a bacterium called Escherichia coli This bacterium is a very common cause of bloodstream infection, not just during pregnancy but in all individuals, from newborn babies to the elderly, probably because it is always present in our intestine and can intermittently invade through this mucosal barrier. We first show that pregnancy in animals also makes them more susceptible to E. coli bloodstream infection. This is important because many of the dominant factors likely to control differences in human infection susceptibility can be property controlled for only in animals. Despite this vulnerability induced by pregnancy, we also show that animals with resolved E. coli infection are protected against reinfection during pregnancy, including having resistance to most infection-induced pregnancy complications. Protection against reinfection is mediated by antibodies that can be measured in the blood. This information may help to explain why most women do not develop E. coli infection during pregnancy, enabling new approaches for identifying those at especially high risk of infection and strategies for preventing infection during pregnancy.

Dragonflies and damselflies are a charismatic, medium-sized insect order (~6300 species) with a unique potential to approach comparative research questions. Their taxonomy and many ecological traits for a large fraction of extant species are relatively well understood. However, until now, the lack of a large-scale phylogeny based on high throughput data with the potential to connect both perspectives has precluded comparative evolutionary questions for these insects. Here, we provide an ordinal hypothesis of classification based on anchored hybrid enrichment using a total of 136 species representing 46 of the 48 families or incertae sedis, and a total of 478 target loci. Our analyses recovered the monophyly for all three suborders: Anisoptera, Anisozygoptera and Zygoptera. Although the backbone of the topology was reinforced and showed the highest support values to date, our genomic data was unable to stronglyresolve portions of the topology. In addition, a quartet sampling approach highlights the potential evolutionary scenarios that may have shaped evolutionary phylogeny (e.g., incomplete lineage sorting and introgression) of this taxon. Finally, in light of our phylogenomic reconstruction and previous morphological and molecular information we proposed an updated odonate classification and define five new families (Amanipodagrionidae fam. nov., Mesagrionidae fam. nov., Mesopodagrionidae fam. nov., Priscagrionidae fam. nov., Protolestidae fam. nov.) and reinstate another two (Rhipidolestidae stat. res., Tatocnemididae stat. res.). Additionally, we feature the problematic taxonomic groupings for examination in future studies to improve our current phylogenetic hypothesis National Science Foundation | Ref. DEB-1265714 National Science Foundation | Ref. DBI-1564386 Ministerio de Ciencia | Ref. CGL2014-53140-P Ministerio de Ciencia | Ref. PGC2018-096656-B-I00

Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses of MR images may provide radiomic tumor signatures potentially relevant for better individualization and optimization of treatment. We apply a convolutional neural network for automatic tumor segmentation in endometrial cancer patients, enabling automated extraction of tumor texture parameters and tumor volume. The network was trained, validated and tested on a cohort of 139 endometrial cancer patients based on preoperative pelvic imaging. The algorithm was able to retrieve tumor volumes comparable to human expert level (likelihood-ratio test, $$p = 0.06$$ p = 0.06 ). The network was also able to provide a set of segmentation masks with human agreement not different from inter-rater agreement of human experts (Wilcoxon signed rank test, $$p=0.08$$ p = 0.08 , $$p=0.60$$ p = 0.60 , and $$p=0.05$$ p = 0.05 ). An automatic tool for tumor segmentation in endometrial cancer patients enables automated extraction of tumor volume and whole-volume tumor texture features. This approach represents a promising method for automatic radiomic tumor profiling with potential relevance for better prognostication and individualization of therapeutic strategy in endometrial cancer.

Significance: Optical coherence tomography (OCT) is widely used as a potential diagnostic tool for a variety of diseases including various types of cancer. However, sensitivity and specificity analyses of OCT in different cancers yield results varying from 11% to 100%. Hence, there is a need for more detailed statistical analysis of blinded reader studies. Aim: Extensive statistical analysis is performed on results from a blinded study involving OCT of breast tumor margins to assess the impact of reader variability on sensitivity and specificity. Approach: Five readers with varying levels of experience reading OCT images assessed 50 OCT images of breast tumor margins collected using an intraoperative OCT system. Statistical modeling and analysis was performed using the R language to analyze reader experience and variability. Results: Statistical analysis showed that the readers’ prior experience with OCT images was directly related to the probability of the readers’ assessment agreeing with histology. Additionally, results from readers with prior experience specific to OCT in breast cancer had a higher probability of agreement with histology compared to readers with experience with OCT in other (noncancer) diseases. Conclusions: The results from this study demonstrate the potential impact of reader training and experience in the assessment of sensitivity and specificity. They also demonstrate even greater potential improvement in diagnostic performance by combining results from multiple readers. These preliminary findings suggest valuable directions for further study.

Objective The aim was to assess the safety and efficacy of up to 156 weeks of ixekizumab (an IL-17A antagonist) treatment in PsA patients. Methods In a phase III study, patients naïve to biologic treatment were randomized to placebo, adalimumab 40 mg every 2 weeks (ADA; active reference) or ixekizumab 80 mg every 2 weeks (IXEQ2W) or every 4 weeks (IXEQ4W) after an initial dose of 160 mg. At week 24 (week 16 for inadequate responders), ADA (after 8-week washout) and placebo patients were re-randomized to IXEQ2W or IXEQ4W. Outcomes were evaluated using a modified non-responder imputation [linear extrapolation for radiographic progression (modified total Sharp score = 0)] during extended treatment until week 156. Results Of 417 patients, 381 entered the extension, and 243 of 381 (63.8%) completed the 156-week study. Incidence rates of treatment-emergent and serious adverse events, respectively, were 38.0 and 5.2 with IXEQ2W (n = 189) and 38.1 and 8.0 with IXEQ4W (n = 197). One death occurred (IXEQ4W). With IXEQ2W and IXEQ4W, respectively, the response rates persisted to week 156 as measured by the ACR response ≥20% (62.5 and 69.8%), ≥50% (56.1 and 51.8%) and ≥70% (43.8 and 33.4%), psoriasis area and severity index (PASI) 75 (69.1 and 63.5%), PASI 90 (64.5 and 51.2%) and PASI 100 (60.5 and 43.6%). Inhibition of radiographic progression also persisted to week 156 in 61% of IXEQ2W and 71% of IXEQ4W patients. Conclusion In this 156-week study of ixekizumab, the safety profile remained consistent with previous reports, and improvements in signs and symptoms of PsA were observed, including persistent low rates of radiographic progression. Trial registration ClinicalTrials.gov, http://clinicaltrials.gov, NCT01695239, EudraCT 2011-002326-49.

BackgroundIntimate partner violence (IPV) is high among married women in Bangladesh. Social isolation is a well-established correlate of women’s exposure to IPV, but the role of such factors in low-income and middle-income countries is not well understood. In this study, we explore whether social connection is protective against IPV among married women in rural Bangladesh.MethodsData were drawn from a multistage, stratified, population-based longitudinal sample of 3355 married women in rural Bangladesh, who were surveyed on individual and contextual risk factors of IPV. Negative binomial regression models were used to estimate the association between three different domains of social connection (natal family contact, female companionship and instrumental social support), measured at baseline in 2013, and the risk of three different forms of IPV (psychological, physical and sexual), approximately 10 months later, adjusted for woman’s level of education, spouse’s level of education, level of household wealth, age and age of marriage.ResultsAdjusted models showed that instrumental social support was associated with a lower risk of past year psychological IPV (risk ratio (RR)=0.84, 95% CI 0.769 to 0.914), sexual IPV (RR=0.90, 95% CI 0.822 to 0.997) and physical IPV (RR=0.81, 95% CI 0.718 to 0.937). Natal family contact was also associated with a lower risk of each type of IPV, but not in a graded fashion. Less consistent associations were observed with female companionship.ConclusionOur findings suggest that social connection, particularly in the form of instrumental support, may protect married women in rural Bangladesh from experiencing IPV.

Background The coronavirus disease 2019 (COVID-19) may have a negative effect on the mental and social health of patients with ESKD on chronic in-center hemodialysis (HD), who have a high burden of psychologic symptoms at baseline and unavoidable treatment-related COVID exposures. The goal of our study was to assess the effect of the COVID-19 pandemic on the psychosocial health of patients on chronic in-center HD. Methods Participants enrolled in the ongoing Technology Assisted Collaborative Care (TĀCcare) trial in Western Pennsylvania and New Mexico were approached for participation in a phone survey in May 2020. Data on the pandemic’s effects on participants’ physical and mental health, symptoms (such as anxiety, mood, loneliness, sleep, and stress), and food and housing security were collected. Results Surveys were completed by 49 participants (mean age 56 years; 53% men, 18% Black, 20% American Indian, and 22% Hispanic). Almost 80% of participants reported being moderately to extremely worried about the pandemic’s effects on their mental/emotional health and interpersonal relationships. More than 85% of the participants were worried about obtaining their dialysis treatments due to infection risk from close contact in the dialysis facility or during transportation. Despite this, 82% of participants reported being not at all/slightly interested in trying home dialysis as an alternative option. Overall, 27% of the participants had clinical levels of depressive symptoms but only 12% had anxiety meeting clinical criteria. About 33% of participants reported poor sleep quality over the last month. Perceived stress was high in about 30% of participants and 85% felt overwhelmed by difficulties with COVID-19, although 41% felt that things were fairly/very often going their way. Conclusions Our study provides preliminary insights into the psychosocial distress caused by the COVID-19 pandemic among a diverse cohort of patients receiving chronic HD who are participating in an ongoing clinical trial.

The aim of this paper was to better understand how child and adult adversities cluster together into classes, and how these classes relate to body weight and obesity. Analyses included 2015 and 2018 data from emerging adults (18–25 years old) who participated in a state surveillance system of 2- and 4-year college students in Minnesota (N = 7475 in 2015 and N = 6683 in 2018). Latent Class Analyses (LCA) of 12 child and adult adversities were run stratified by gender and replicated between 2015 and 2018. The distal outcome procedure and three-step Bolck-Croon-Hagenaars approach were used to estimate predicted BMI means and predicted probabilities of obesity for each class, adjusted for covariates. The LCA identified seven classes in women and 5 in men. In women, BMI ranged from 23.9 kg/m2 in the lowest-BMI class (“Adult Adversities and Childhood Household Dysfunction”; 95% CI: 22.6–25.1) to 27.3 kg/m2 in the highest-BMI class (“High Lifetime Adversities”; 95% CI: 25.9–28.7), a statistically significant difference of 3.4 kg/m2. In men, the adjusted BMIs ranged from 24.6 kg/m2 (“Low Adversities”; 95% CI: 24.3–25.0) to 26.0 kg/m2 (“Childhood Household Mental Illness”; 95% CI: 25.1–26.9), a statistically significant difference of 1.4 kg/m2. The pattern was similar for obesity. These results indicate that specific classes of child and adult adversities are strongly associated with BMI and obesity, particularly in women. A key contribution of LCA appeared to be identification of small classes at high risk for excess weight.

Healthcare provider barriers to cessation resources may be undercutting quit rates for smokers with serious mental illness (SMI). The study aim was to examine how providers influence cessation treatment utilization among smokers with SMI. Data were taken from a trial conducted among smokers in Minnesota Health Care Programs. The sample was split into groups of participants with SMI (n = 939) and without SMI (n = 1382). Analyses assessed whether the association between SMI and treatment utilization was mediated by healthcare provider–delivered treatment advice and healthcare provider bias. Results revealed higher rates of treatment utilization among smokers with SMI than those without SMI (45.9% vs 31.7%, p

Importance Per the World Health Organization 2016 integrative classification, newly diagnosed glioblastomas are separated into isocitrate dehydrogenase gene 1 or 2 (IDH)–wild-type andIDH-mutant subtypes, with median patient survival of 1.2 and 3.6 years, respectively. Although maximal resection of contrast-enhanced (CE) tumor is associated with longer survival, the prognostic importance of maximal resection within molecular subgroups and the potential importance of resection of non–contrast-enhanced (NCE) disease is poorly understood. Objective To assess the association of resection of CE and NCE tumors in conjunction with molecular and clinical information to develop a new road map for cytoreductive surgery. Design, Setting, and Participants This retrospective, multicenter cohort study included a development cohort from the University of California, San Francisco (761 patients diagnosed from January 1, 1997, through December 31, 2017, with 9.6 years of follow-up) and validation cohorts from the Mayo Clinic (107 patients diagnosed from January 1, 2004, through December 31, 2014, with 5.7 years of follow-up) and the Ohio Brain Tumor Study (99 patients with data collected from January 1, 2008, through December 31, 2011, with a median follow-up of 10.9 months). Image accessors were blinded to patient groupings. Eligible patients underwent surgical resection for newly diagnosed glioblastoma and had available survival, molecular, and clinical data and preoperative and postoperative magnetic resonance images. Data were analyzed from November 15, 2018, to March 15, 2019. Main Outcomes and Measures Overall survival. Results Among the 761 patients included in the development cohort (468 [61.5%] men; median age, 60 [interquartile range, 51.6-67.7] years), younger patients withIDH–wild-type tumors and aggressive resection of CE and NCE tumors had survival similar to that of patients withIDH-mutant tumors (median overall survival [OS], 37.3 [95% CI, 31.6-70.7] months). Younger patients withIDH–wild-type tumors and reduction of CE tumor but residual NCE tumors fared worse (median OS, 16.5 [95% CI, 14.7-18.3] months). Older patients withIDH–wild-type tumors benefited from reduction of CE tumor (median OS, 12.4 [95% CI, 11.4-14.0] months). The results were validated in the 2 external cohorts. The association between aggressive CE and NCE in patients withIDH–wild-type tumors was not attenuated by the methylation status of the promoter region of the DNA repair enzyme O6-methylguanine-DNA methyltransferase. Conclusions and Relevance This study confirms an association between maximal resection of CE tumor and OS in patients with glioblastoma across all subgroups. In addition, maximal resection of NCE tumor was associated with longer OS in younger patients, regardless ofIDHstatus, and among patients withIDH–wild-type glioblastoma regardless of the methylation status of the promoter region of the DNA repair enzyme O6-methylguanine-DNA methyltransferase. These conclusions may help reassess surgical strategies for individual patients with newly diagnosed glioblastoma.

Ixekizumab was efficacious in treating moderate-to-severe genital psoriasis over 12 weeks. We evaluated the long-term efficacy and safety of ixekizumab for up to 52 weeks. Patients were randomized to 80 mg ixekizumab every 2 weeks or to placebo through Week 12, then received 80 mg open-label ixekizumab every 4 weeks through Week 52. In patients initially randomized to ixekizumab, clear or almost clear genital skin was achieved for 73% of patients at Week 12 and 75% at Week 52. Persistent improvements were also observed for overall psoriasis, genital itch, and the impact of genital psoriasis on the frequency of sexual activity. The safety profile was consistent with studies of ixekizumab in patients with moderate-to-severe plaque psoriasis. Ixekizumab provided rapid and persistent improvements in the signs and symptoms of genital psoriasis for up to 52 weeks of treatment.

This cross-sectional study examines the association of childhood and adolescent/adult adversities with obesity across four racial/ethnic groups among emerging adult women aged 18 to 25 (n = 9310). Latent class analysis was used to identify racial/ethnicity-specific classes arising from childhood and adolescent/adult adversity indicators in the 2015 and 2018 College Student Health Surveys (sampled from Minnesota, U.S.) Distal outcome procedure and Bolck-Croon-Hagenaars methods were used to assess each class's association with body mass index (BMI) and obesity probability. Models were adjusted for post-secondary school type and parental education. We identified 7 classes for White women, 4 classes for Asian and Latina women, and 5 classes for Black women. Weight distributions of Black and Latina women leaned towards “overweight”, whereas White and Asian women's BMI leaned towards “normal weight.” Latina and Black women had a wider BMI range (~5 kg/m2) between classes with the highest versus lowest BMI than White and Asian women (~3 kg/m2), suggesting a stronger association between adversities and BMI. For Asian, Black, and White women, the “Low Adversities” class had the lowest obesity prevalence, while the “High Lifetime Adversities” class had the highest prevalence. In contrast, Latina women had the lowest obesity prevalence in the “High Adolescent/Adult Adversities & Low Childhood Adversities” class, and highest prevalence in the “Household Mental Illness” class. Results indicate that racial/ethnic disparities in obesity-related measures are reduced when racial/ethnic groups experience low adversity. Future research should explore tailored adversity interventions that consider adversity exposure differences across race/ethnicity as a strategy for reducing obesity risk.

BACKGROUND AND PURPOSE: Standard assessment criteria for brain tumors that only include anatomic imaging continue to be insufficient. While numerous studies have demonstrated the value of DSC-MR imaging perfusion metrics for this purpose, they have not been incorporated due to a lack of confidence in the consistency of DSC-MR imaging metrics across sites and platforms. This study addresses this limitation with a comparison of multisite/multiplatform analyses of shared DSC-MR imaging datasets of patients with brain tumors. MATERIALS AND METHODS: DSC-MR imaging data were collected after a preload and during a bolus injection of gadolinium contrast agent using a gradient recalled-echo–EPI sequence (TE/TR = 30/1200 ms; flip angle = 72°). Forty-nine low-grade ( n = 13) and high-grade ( n = 36) glioma datasets were uploaded to The Cancer Imaging Archive. Datasets included a predetermined arterial input function, enhancing tumor ROIs, and ROIs necessary to create normalized relative CBV and CBF maps. Seven sites computed 20 different perfusion metrics. Pair-wise agreement among sites was assessed with the Lin concordance correlation coefficient. Distinction of low- from high-grade tumors was evaluated with the Wilcoxon rank sum test followed by receiver operating characteristic analysis to identify the optimal thresholds based on sensitivity and specificity. RESULTS: For normalized relative CBV and normalized CBF, 93% and 94% of entries showed good or excellent cross-site agreement (0.8 ≤ Lin concordance correlation coefficient ≤ 1.0). All metrics could distinguish low- from high-grade tumors. Optimum thresholds were determined for pooled data (normalized relative CBV = 1.4, sensitivity/specificity = 90%:77%; normalized CBF = 1.58, sensitivity/specificity = 86%:77%). CONCLUSIONS: By means of DSC-MR imaging data obtained after a preload of contrast agent, substantial consistency resulted across sites for brain tumor perfusion metrics with a common threshold discoverable for distinguishing low- from high-grade tumors.

Thyroid nodules assessed with ultrasound and fine-needle aspiration biopsy are diagnosed as "suspicious" or "indeterminate" in 15%-20% of the cases. Typically, total thyroidectomy is performed in such cases; however, only 25%-50% are found to be cancerous upon final histopathologic analysis. Here we demonstrate optical coherence tomography (OCT) imaging of the human thyroid as a potential intraoperative imaging tool for providing tissue assessment in real time during surgical procedures. Fresh excised tissue specimens from 28 patients undergoing thyroid surgery were imaged in the laboratory using a benchtop OCT system. Three-dimensional OCT images showed different microstructural features in normal, benign, and malignant thyroid tissues. A similar portable OCT system was then designed and constructed for use in the operating room, and intraoperative imaging of excised thyroid tissue from 6 patients was performed during the surgical procedure. The results demonstrate the potential of OCT to provide real-time imaging guidance during thyroid surgeries.

BACKGROUND: Ixekizumab, a high-affinity monoclonal antibody that selectively targets interleukin (IL)-17A, is approved for the treatment of moderate-to-severe psoriasis.OBJECTIVES: This analysis represents an overview of the efficacy outcomes from three Phase 3 psoriasis studies.METHODS: Data were integrated from the 12-week induction period of three studies in which patients received ixekizumab 80 mg every 2 (IXE Q2W; N=1169) or 4 weeks (IXE Q4W; N=1165) after an initial 160-mg dose for both, etanercept (ETN) (50 mg biweekly; N=740; two studies), or placebo (PBO) (N=792). The co-primary endpoints were the percentages of patients with response of sPGA (0,1) and a 75% improvement in baseline psoriasis area severity index (PASI 75) at Week 12. Response rates were compared between treatments using the Cochran-Mantel-Haenszel test stratified by study. Treatment comparisons with placebo included data from three studies, whereas etanercept comparisons were based on two studies.RESULTS: Ixekizumab treatment was superior to placebo (pCONCLUSIONS: Ixekizumab therapy at both dosing regimens demonstrated rapid onset and superior efficacy compared with placebo and etanercept, with IXE Q2W providing better outcomes than IXE Q4W during the first 12 weeks of treatment. This article is protected by copyright. All rights reserved.

BACKGROUND Emotion regulation develops through bidirectional affective communication. AIM To investigate the role of maternal interactive behavior in predicting infant affect among preterm versus full-term infants. STUDY DESIGN The association between maternal interactive behavior (contingent, attention seeking, watching) and infant affect during a modified Still Face (SF) paradigm in a sample of 22 preterm and 28 full term infants (3 ½ - 4 ½ months old) was investigated. METHODS Maternal behavior and infant affect were coded in one second intervals. RESULTS Maternal contingent interaction was positively correlated with positive infant affect (p

Our study tested the diagnostic accuracy of increased signal intensity (SI) within FLAIR MR images of resection cavities in differentiating early progressive disease (ePD) from pseudoprogression (PsP) in patients with glioblastoma treated with radiotherapy with concomitant temozolomide therapy. In this retrospective study approved by our Institutional Review Board, we evaluated the records of 122 consecutive patients with partially or totally resected glioblastoma. Region of interest (ROI) analysis assessed 33 MR examinations from 11 subjects with histologically confirmed ePD and 37 MR examinations from 14 subjects with PsP (5 histologically confirmed, 9 clinically diagnosed). After applying an N4 bias correction algorithm to remove B0 field distortion and to standardize image intensities and then normalizing the intensities based on an ROI of uninvolved white matter from the contralateral hemisphere, the mean intensities of the ROI from within the resection cavities were calculated. Measures of diagnostic performance were calculated from the receiver operating characteristic (ROC) curve using the threshold intensity that maximized differentiation. Subgroup analysis explored differences between the patients with biopsy-confirmed disease. At an optimal threshold intensity of 2.9, the area under the ROC curve (AUROC) for FLAIR to differentiate ePD from PsP was 0.79 (95% confidence interval 0.686–0.873) with a sensitivity of 0.818 and specificity of 0.694. The AUROC increased to 0.86 when only the patients with biopsy-confirmed PsP were considered. Increased SI within the resection cavity of FLAIR images is not a highly specific sign of ePD in glioblastoma patients treated with the Stupp protocol.

Aims The aim of the present study was to compare the 30- and 90-day re-admission rates and complication rates of outpatient and inpatient total shoulder arthroplasty (TSA). Patients and Methods The United States Medicare Standard Analytical Files database was questioned to identify patients who had undergone outpatient or inpatient TSA between 2005 and 2012. Patient characteristics were compared between the two groups using chi-squared analysis. Multivariate logistic regression analysis was used to control for differences in baseline patient characteristics and to compare the two groups in terms of post-operative complications within 90 days and re-admission within 30 days and 90 days. Results A total of 123 347 Medicare subscribers underwent TSA between 2005 and 2012; 3493 (2.8%) had the procedure performed as an outpatient. A significantly greater proportion of patients who underwent TSA as inpatients were women, had a history of smoking, and had a greater incidence of medical comorbidity including diabetes, coronary artery disease, congestive heart failure, and chronic kidney disease (p < 0.05 for all). Re-admission rates were significantly higher for inpatients at both 30 days (0.83% versus 0.60%, p = 0.016, odds ratio 1.8) and 90 days (2.87% versus 2.04%, p < 0.001, odds ratio 1.8). Complications, including thromboembolic events (p < 0.001) and surgical site infection (p = 0.002), were significantly higher in inpatients. Conclusion Patients who underwent TSA on an outpatient basis were overall younger and healthier than those who had inpatient surgery, which suggests that patient selection was taking place. After controlling for age, gender, and medical conditions, patients who underwent TSA as outpatients had lower rates of 30- and 90-day re-admission and a lower rate of complications than inpatients. Cite this article: Bone Joint J 2017;99-B:934–8

Background Purchases at small/non-traditional food stores tend to have poor nutritional quality, and have been associated with poor health outcomes, including increased obesity risk The purpose of this study was to examine whether customers who shop at small/non-traditional food stores with more health promoting features make healthier purchases. Methods In a cross-sectional design, data collectors assessed store features in a sample of 99 small and non-traditional food stores not participating in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) in Minneapolis/St. Paul, MN in 2014. Customer intercept interviews (n = 594) collected purchase data from a bag check and demographics from a survey. Store measures included fruit/vegetable and whole grain availability, an overall Healthy Food Supply Score (HFSS), healthy food advertisements and in-store placement, and shelf space of key items. Customer nutritional measures were analyzed using Nutrient Databases System for Research (NDSR), and included the purchase of ≥1 serving of fruits/vegetables; ≥1 serving of whole grains; and overall Healthy Eating Index-2010 (HEI-2010) score for foods/beverages purchased. Associations between store and customer measures were estimated in multilevel linear and logistic regression models, controlling for customer characteristics and store type. Results Few customers purchased fruits and vegetables (8%) or whole grains (8%). In fully adjusted models, purchase HEI-2010 scores were associated with fruit/vegetable shelf space (p = 0.002) and the ratio of shelf space devoted to healthy vs. less healthy items (p = 0.0002). Offering ≥14 varieties of fruit/vegetables was associated with produce purchases (OR 3.9, 95% CI 1.2–12.3), as was having produce visible from the store entrance (OR 2.3 95% CI 1.0 to 5.8), but whole grain availability measures were not associated with whole grain purchases. Conclusions Strategies addressing both customer demand and the availability of healthy food may be necessary to improve customer purchases. Trial registration ClinialTrials.gov: NCT02774330. Registered May 4, 2016 (retrospectively registered). Electronic supplementary material The online version of this article (doi:10.1186/s12966-017-0531-x) contains supplementary material, which is available to authorized users.

Background: Policy restrictions on malt liquor sales have been adopted in several cities throughout the United States in an effort to reduce crime around off-premise alcohol outlets. Although California has implemented the most restrictions on malt liquor sales, no studies in the published literature have evaluated the effects of these policies on reducing crime. Objectives: We evaluated the effectiveness of malt liquor restrictions on reducing crime around off-premise alcohol outlets in six California cities. We hypothesized that adoption of malt liquor policies would be significantly associated with decreases in crime within areas surrounding targeted outlets. Methods: We used an interrupted time-series design with control areas to examine the relationship between malt liquor policies and crime reduction. We compared crime rates three years prior and following adoption of malt liquor policies. Results: Malt liquor policies were associated with modest decreases in crime, largely Part II or less serious crimes such as simple assaults. The effectiveness of malt liquor policies varied by city, with reductions in crime greatest in Sacramento where policies were more restrictive than in other cities. Malt liquor policies were also associated with small increases in nuisance crime, especially in San Francisco. Conclusion: Results suggest that malt liquor policies may have modest effects on reducing crime when they include strong restrictions on the sale of malt liquor products. Results may be informative to other cities considering whether to maintain or change their malt liquor policies as well as cities considering placing restrictions on other high content beverages.

Despite supportive structural changes to reduce stigma towards lesbian, gay, and bisexual, transgender, queer, and questioning (LGBTQ) Canadian residents, sexual minority youth still face disparities compared to heterosexual peers. We aimed to characterize LGBTQ-supportive environments and political climates, and examine their links to suicidal behavior among sexual minority adolescents in western Canada. Data were from the 2013 British Columbia Adolescent Health Survey, a cluster-stratified random cross-sectional survey of public school students in BC, Canada; We sampled 2678 self-identified LGB and mostly heterosexual students (69% girls) from 274 schools, representing an estimated provincial population of 24,624 sexual minority students in weighted models. Student reports of past-year suicidal ideation, suicidal attempts, and self-harm behaviors were merged with community-level data assessing diverse aspects of LGBTQ-supportive resources and progressive political climates in communities surrounding the schools. Adjusted multilevel models showed that for sexual minority adolescent girls, higher community LGBTQ-supportiveness predicted marginally significant lower suicidal ideation (aOR = 0.94, 95% CI [0.88, 1.01]) and suicidal attempts (aOR = 0.91, 95% CI [0.83, 1.00]) and significantly lower self-harm behaviors (aOR = 0.91, 95% CI [0.85, 0.98]). Further, progressive political climates predicted marginally significant lower suicidal ideation (aOR = 0.89, 95% CI [0.78, 1.02]) and significantly lower self-harm behaviors (aOR = 0.87, 95% CI [0.77, 0.99]). For sexual minority adolescent boys, no community-level variables were associated with suicidal behavior in adjusted models. Thus, LGBTQ-supportive communities and progressive political climates appear to be protective against suicidal behavior among sexual minority adolescent girls, but not sexual minority adolescent boys.