State Differences in Children's Mental Health Care.

OBJECTIVES: This study estimates and compares variation in the probability of child unmet need for mental health care and difficulties accessing care for each state in the United States. Estimates are also generated and compared for three socioeconomic and demographic subgroups nationwide: racial/ethnic group, household income, and insurance type. METHODS: Using a retrospective, cross-sectional design, this study pooled 2016-2019 National Survey of Children's Health data. National, state, and subgroup adjusted probabilities of caregiver-reported child unmet need for mental health care and ease of access to mental health care were generated from logistic regression models with marginal post-estimation. RESULTS: Adjusted national probabilities of caregiver-reported child unmet mental health need and difficulty in accessing care were 0.21 and 0.46, respectively. State probabilities of unmet need ranged from 0.08 to 0.32. One state was significantly above the national estimate; nine states were below it. State probabilities of difficulty accessing mental health care ranged from 0.28 to 0.57; nine states' probabilities were significantly below the national estimate and two states were significantly above it. Estimates of unmet mental health need and difficulty accessing care varied more widely across states than across racial or ethnic groups, income groups, insurance groups. CONCLUSIONS: Geographic inequities in children's mental health care access persist; in some cases, they are larger than sociodemographic inequities.

Transperineal vs Transrectal Prostate Biopsy-The PREVENT Randomized Clinical Trial.

This randomized clinical trial compares the effect of transperineal vs transrectal prostate biopsy on infection rates after biopsy.

Association Between Neighborhood Context and Psychotropic Polypharmacy Use Among High-Need Children.

OBJECTIVE: The authors explored whether neighborhood context is associated with psychotropic polypharmacy and psychotherapy among a cohort of children with high needs for psychiatric and general medical care. METHODS: Electronic health record data from a large health care system were used in a cross-sectional design to examine psychotropic polypharmacy and psychotherapy in 2015-2019 among children ages 2-17 years (N=4,017) with geocoded addresses. Inclusion criteria were a diagnosis of a mental health condition, an intellectual and developmental disability, or a complex medical condition and one or more clinical encounters annually over the study period. Polypharmacy was defined as two or more psychotropic drug class prescriptions concurrently for ≥60 days. Psychotherapy was defined as receipt of any psychotherapy or adaptive behavior treatment. Neighborhood context (health, environment, education, and wealth) was measured with the Child Opportunity Index. Multilevel generalized linear mixed models with random intercept for census tracts were used to assess the associations between individual and neighborhood characteristics and psychotropic polypharmacy and psychotherapy. RESULTS: Moderate (vs. low) child opportunity was associated with higher odds of polypharmacy (adjusted OR [AOR]=1.79, 95% CI=1.19-2.67). High (vs. low) child opportunity was associated with higher odds of psychotherapy (AOR=2.15, 95% CI=1.43-3.21). Black (vs. White) race (AOR=0.51, 95% CI=0.37-0.71) and Hispanic ethnicity (AOR=0.44, 95% CI=0.26-0.73) were associated with lower odds of polypharmacy. CONCLUSIONS: Among high-need children, neighborhood Child Opportunity Index, race, and ethnicity were significantly associated with treatment outcomes in analyses adjusted for clinical factors. The findings underscore concerns about structural disparities and systemic racism and raise questions about access.

Cervical Cancer Incidence in the US-Affiliated Pacific Islands.

Importance: The World Health Organization has called for eliminating cervical cancer as a public health problem. Accurate and up-to-date estimates of population-based cervical cancer incidence are essential for monitoring progress toward elimination and informing local cancer control strategies, but these estimates are lacking for the US-Affiliated Pacific Islands (USAPI). Objective: To calculate age-standardized incidence rates for cervical cancer in the 6 USAPI and compare these rates with rates in the US (50 states and the District of Columbia). Design, Setting, and Participants: This cross-sectional study used population-based data from the Pacific Regional Central Cancer Registry for women aged 20 years or older who were diagnosed with invasive cervical cancer from January 1, 2007, to December 31, 2020. The registry comprises data on all cervical cancers from the USAPI, which include 3 US territories (American Samoa, Commonwealth of the Northern Mariana Islands, and Guam) and 3 freely associated states (Federated States of Micronesia [FSM], Republic of the Marshall Islands [RMI], and Republic of Palau). Data were analyzed from July 10, 2023, to November 28, 2023. Main Outcomes and Measures: The main outcome was age-standardized cervical cancer incidence rates, stratified by age, stage, and histologic code for the USAPI using population estimates from 3 different sources (US Census Bureau International Database, United Nations Population Division, and Pacific Data Hub). Rate ratios were calculated to compare incidence rates between the USAPI and the US. Results: From 2007 to 2020, 409 cases of cervical cancer were diagnosed in the USAPI (median age at diagnosis, 46.0 years [25th-75th percentile, 39.0-55.0 years]), with an age-standardized incidence rate ranging from 21.7 (95% CI, 19.6-23.9) to 22.1 (95% CI, 20.0-24.4) per 100 000 women, depending on the population estimate. Incidence rates were highest in RMI, ranging from 58.1 (95% CI, 48.0-69.7) to 83.4 (95% CI, 68.3-101.0) per 100 000 women, followed by FSM, ranging from 28.7 (95% CI, 23.4-34.9) to 29.8 (95% CI, 24.3-36.3) per 100 000 women. Compared with the US, incidence rates were highest in RMI (rate ratio, 5.7 [95% CI, 4.7-6.8] to 8.2 [95% CI, 6.7-9.9]) and FSM (rate ratio; 2.8; 95% CI, 2.3-3.4). Of all cases in the USAPI, 213 (68.2%) were diagnosed at a late stage. Conclusions and Relevance: In this cross-sectional study, cervical cancer remained a major public health issue in some USAPI, with RMI reporting the highest incidence rates. The findings suggest that improvements in human papillomavirus vaccination and cancer screening coverage through efforts tailored to the unique geographic, sociocultural, economic, and health care landscape of the USAPI may reduce the burden of cervical cancer.

Acute nicotine vapor normalizes sensorimotor gating and reduces locomotor activity deficits in HIV-1 transgenic rats.

Rationale: Despite improved life expectancy of people with HIV (PWH), HIV-associated neurocognitive impairment (NCI) persists, alongside deficits in sensorimotor gating and neuroinflammation. PWH exhibit high smoking rates, possibly due to neuroprotective, anti-inflammatory, and cognitive-enhancing effects of nicotine, suggesting potential self-medication. Objectives: Here, we tested the effects of acute nicotine vapor exposure on translatable measures of sensorimotor gating and exploratory behavior in the HIV-1 transgenic (HIV-1Tg) rat model of HIV. Methods: Male and female HIV-1Tg and F344 control rats (n=57) were exposed to acute nicotine or vehicle vapor. Sensorimotor gating was assessed using prepulse inhibition (PPI) of the acoustic startle response, and exploratory behavior was evaluated using the behavioral pattern monitor (BPM). Results: Vehicle-treated HIV-1Tg rats exhibited PPI deficits at low prepulse intensities compared to F344 controls, as seen previously. No PPI deficits were observed in nicotine-treated HIV1-Tg rats, however. HIV-1Tg rats were hypoactive in the BPM relative to controls, whilst nicotine vapor increased activity and exploratory behavior across genotypes. Cotinine analyses confirmed comparable levels of the primary metabolite of nicotine across genotypes. Conclusions: Previous findings of PPI deficits in HIV-1Tg rats were replicated and, importantly, attenuated by acute nicotine vapor. Evidence for similar cotinine levels suggest a nicotine-specific effect in HIV-1Tg rats. HIV-1Tg rats had reduced exploratory behavior compared to controls, attenuated by acute nicotine vapor. Therefore, acute nicotine may be beneficial for remediating sensorimotor and locomotor activity deficits in PWH. Future studies should determine the long-term effects of nicotine vapor on similar HIV/NCI-relevant behaviors.

Boosting efficiency in the endoscopy suite: integrating team workflows improves productivity and minimizes cost.

BACKGROUND AND AIMS: Inefficiencies in the endoscopy suite cause frustration for physicians, hospital administrators, staff, and patients. Turnover time (TOT), the time between one case ending and another beginning, is subjectively disproportionate between various team members. We aimed to define perceptions of TOT and target steps within the process to improve efficiency. METHODS: This was a prospective cohort study at a tertiary center outpatient endoscopy unit. Phase I aimed to identify the TOT process components based on time stamps in the electronic medical record (N = 686). We defined gastroenterologist perceived TOT (pTOT), anesthesia pTOT, and standard TOT (sTOT). TOT length was calculated for each subgroup. Patient transport was identified as an intervenable target. In Phase II, the task of patient transport moved from the anesthesiology team to endoscopy nurses. Mean TOT and proportion of cases with sTOT <15 minutes' preintervention (n = 2192) and postintervention (n = 292) were compared. RESULTS: Seven key TOT components were identified that explain variations in pTOT. Average anesthesia pTOT was 15 minutes, whereas average gastroenterologist pTOT was 34 minutes (25.9% vs 57.2% of case length; P = .0007). In Phase II, mean sTOT improved from 18.51 to 14.25 minutes (P < .0001), and proportion of sTOT within 15 minutes improved from 41.79% to 58.90% (P < .0001). This intervention saved 45 minutes per room per day, allowing for a revenue potential of more than $300,000 per year per procedure room. CONCLUSIONS: This study defines variations in TOT and shows that finding imbalances and sharing the workload significantly cuts costs and improves the overall efficiency of the different subgroups in the turnover process.

Scope-of-Practice Expansions Associated with Reduced Racial Disparities in Pediatric Mental Health Care.

To examine the association between scope-of-practice (SoP) regulations and racial disparities in pediatric mental health services. We used the National Survey of Children's Health (2016-2020; n = 33,790) to examine racial disparities in unmet mental health care needs and receipt of mental health medication between states with and without SoP expansions for psychologists and nurse practitioners (NP). Our primary outcomes were (1) unmet mental health care needs and (2) receipt of mental health medication. We examined heterogeneous treatment effects of SoP expansion on the outcomes using logistic regression with interaction terms between SoP expansion and race/ethnicity. We estimated population-level racial disparities for both outcomes stratified by SoP expansion to identify differences in racial disparities. The psychologist SoP expansion-associated reduction in unmet need was 15.8 percentage-points (CI= -25.3, -6.2) larger for Other-race children than for White children. The psychologist SoP expansion-associated increase in medication was 5.1%-points (CI=. 0.8, 9.4) larger for Black children and 5.6%-points (CI = 0.5, 10.8) for Other-race children. No differences were found for NP SoP expansion. Racial disparities in both outcomes were lower in psychologist SoP expansion states but varied in NP SoP states. Expanded SoP was generally associated with lower racial disparities in pediatric mental health care access.

Characterizing the extent and morphology of intraductal mucinous biliary neoplasm using a novel cholangioscope and treatment with ampullectomy.

Video 1A case characterizing the extent and morphology of an intraductal mucinous biliary neoplasm using a novel cholangioscope and treatment with ampullectomy.

Predicting Out-of-Hospital Cardiac Arrest in the General Population Using Electronic Health Records.

BACKGROUND: The majority of out-of-hospital cardiac arrests (OHCAs) occur among individuals in the general population, for whom there is no established strategy to identify risk. In this study, we assess the use of electronic health record (EHR) data to identify OHCA in the general population and define salient factors contributing to OHCA risk. METHODS: The analytical cohort included 2366 individuals with OHCA and 23 660 age- and sex-matched controls receiving health care at the University of Washington. Comorbidities, electrocardiographic measures, vital signs, and medication prescription were abstracted from the EHR. The primary outcome was OHCA. Secondary outcomes included shockable and nonshockable OHCA. Model performance including area under the receiver operating characteristic curve and positive predictive value were assessed and adjusted for observed rate of OHCA across the health system. RESULTS: There were significant differences in demographic characteristics, vital signs, electrocardiographic measures, comorbidities, and medication distribution between individuals with OHCA and controls. In external validation, discrimination in machine learning models (area under the receiver operating characteristic curve 0.80-0.85) was superior to a baseline model with conventional cardiovascular risk factors (area under the receiver operating characteristic curve 0.66). At a specificity threshold of 99%, correcting for baseline OHCA incidence across the health system, positive predictive value was 2.5% to 3.1% in machine learning models compared with 0.8% for the baseline model. Longer corrected QT interval, substance abuse disorder, fluid and electrolyte disorder, alcohol abuse, and higher heart rate were identified as salient predictors of OHCA risk across all machine learning models. Established cardiovascular risk factors retained predictive importance for shockable OHCA, but demographic characteristics (minority race, single marital status) and noncardiovascular comorbidities (substance abuse disorder) also contributed to risk prediction. For nonshockable OHCA, a range of salient predictors, including comorbidities, habits, vital signs, demographic characteristics, and electrocardiographic measures, were identified. CONCLUSIONS: In a population-based case-control study, machine learning models incorporating readily available EHR data showed reasonable discrimination and risk enrichment for OHCA in the general population. Salient factors associated with OCHA risk were myriad across the cardiovascular and noncardiovascular spectrum. Public health and tailored strategies for OHCA prediction and prevention will require incorporation of this complexity.

Comparison of direct and indirect soil organic carbon prediction at farm field scale.

To advance sustainable and resilient agricultural management policies, especially during land use changes, it is imperative to monitor, report, and verify soil organic carbon (SOC) content rigorously to inform its stock. However, conventional methods often entail challenging, time-consuming, and costly direct soil measurements. Integrating data from long-term experiments (LTEs) with freely available remote sensing (RS) techniques presents exciting prospects for assessing SOC temporal and spatial change. The objective of this study was to develop a low-cost, field-based statistical model that could be used as a decision-making aid to understand the temporal and spatial variation of SOC content in temperate farmland under different land use and management. A ten-year dataset from the North Wyke Farm Platform, a 20-field, LTE system established in southwestern England in 2010, was used as a case study in conjunction with an RS dataset. Linear, additive and mixed regression models were compared for predicting SOC content based upon combinations of environmental variables that are freely accessible (termed open) and those that require direct measurement or farmer questionnaires (termed closed). These included an RS-derived Ecosystem Services Provision Index (ESPI), topography (slope, aspect), weather (temperature, precipitation), soil (soil units, total nitrogen [TN], pH), and field management practices. Additive models (specifically Generalised Additive Models (GAMs)) were found to be the most effective at predicting space-time SOC variability. When the combined open and closed factors (excluding TN) were considered, significant predictors of SOC were: management related to ploughing being the most important predictor, soil unit (class), aspect, and temperature (GAM fit with a normalised RMSE = 9.1%, equivalent to 0.4% of SOC content). The relative strength of the best-fitting GAM with open data only, which included ESPI, aspect, and slope (normalised RMSE = 13.0%, equivalent to 0.6% of SOC content), suggested that this more practical and cost-effective model enables sufficiently accurate prediction of SOC.

The Arctic Plant Aboveground Biomass Synthesis Dataset.

Plant biomass is a fundamental ecosystem attribute that is sensitive to rapid climatic changes occurring in the Arctic. Nevertheless, measuring plant biomass in the Arctic is logistically challenging and resource intensive. Lack of accessible field data hinders efforts to understand the amount, composition, distribution, and changes in plant biomass in these northern ecosystems. Here, we present The Arctic plant aboveground biomass synthesis dataset, which includes field measurements of lichen, bryophyte, herb, shrub, and/or tree aboveground biomass (g m-2) on 2,327 sample plots from 636 field sites in seven countries. We created the synthesis dataset by assembling and harmonizing 32 individual datasets. Aboveground biomass was primarily quantified by harvesting sample plots during mid- to late-summer, though tree and often tall shrub biomass were quantified using surveys and allometric models. Each biomass measurement is associated with metadata including sample date, location, method, data source, and other information. This unique dataset can be leveraged to monitor, map, and model plant biomass across the rapidly warming Arctic.

Staged Resection of Difficult-to-Treat Intracranial Meningiomas: A Systematic Review of the Indications, Surgical Approaches, and Postoperative Outcomes.

Introduction Meningiomas-the most common extra-axial tumors-are benign, slow-growing dural-based lesions that can involve multiple cranial fossae and can progress insidiously for years until coming to clinical attention secondary to compression of adjacent neurovascular structures. For complex, multicompartmental lesions, multistaged surgeries have been increasingly shown to enhance maximal safe resection while minimizing adverse sequela. Here, we systematically review the extant literature to highlight the merits of staged resection. Methods PubMed, Scopus, and Web of Science databases were queried to identify articles reporting resections of intracranial meningiomas using a multistaged approach, and articles were screened for possible inclusion in a systematic process performed by two authors. Results Of 118 identified studies, 36 describing 169 patients (mean age 42.6 ± 21.3 years) met inclusion/exclusion criteria. Petroclival lesions comprised 57% of cases, with the most common indications for a multistaged approach being large size, close approximation of critical neurovascular structures, minimization of brain retraction, identification and ligation of deep vessels feeding the tumor, and resection of residual tumor found on postoperative imaging. Most second-stage surgeries occurred within 3 months of the index surgery. Few complications were reported and multistaged resections appeared to be well tolerated overall. Conclusions Current literature suggests multistaged approaches for meningioma resection are well-tolerated. However, there is insufficient comparative evidence to draw definitive conclusions about its advantages over an unstaged approach. There are similarly insufficient data to generate an evidence-based decision-making framework for when a staged approach should be employed. This highlights the need for collaborative efforts among skull base surgeons to establish an evidentiary to support the use of staged approaches and to outline those indications that merit such an approach.

Adolescent and caregiver perceptions of addressing mental health in inflammatory bowel disease.

Adolescents with inflammatory bowel disease (IBD) are at an increased risk of anxiety and depression compared to peers, but availability of mental health services in IBD clinics does not meet patients' needs, and use of primary care services for mental health screening and care is low. This study provides qualitative data regarding adolescent and caregiver perspectives on addressing mental health in IBD. Interviews were conducted with adolescents with IBD and caregivers of adolescents with IBD. Interview transcripts were coded and analyzed for prominent themes. Thirteen adolescents and fourteen caregivers were interviewed. Three primary themes emerged: mental health stigma makes discussing it more difficult, physician-adolescent trust makes conversations about mental health easier, and asking about mental health directly can help adolescents feel comfortable. Adolescents and caregivers highlighted the importance of considering each patient and their family individually when choosing how to discuss mental health. Fostering trust with adolescents with IBD is vital to addressing mental health. While encouraging standardized screening is important, the most patient-centered approach to mental health involves considering families individually to identify and address mental health challenges. Given the increased risk of anxiety and depression in pediatric patients with IBD, all providers encountering these patients should be equipped to discuss mental health non-judgmentally.

Pediatric Mental Health Care and Scope-of-Practice Expansions.

To examine the association between psychologist and nurse practitioner scope-of-practice (SoP) regulations and pediatric mental health service access. A nationally representative sample of children with mental health needs was identified using 5 years of National Survey of Children's Health (2016-2020). Utilization was measured in two ways: (1) unmet mental health care needs and (2) receipt of mental health medication. Expanded SoP for psychologists and nurse practitioners was measured based on the child's state of residence and the year of the survey. The associations between both SoP expansion and both outcomes were assessed using logistic regression models adjusted for multiple covariates. The probability of having unmet mental health needs was 5.4 percentage points lower (95% CI - 0.102, - 0.006) for children living in a state with psychologist SoP expansion; however, there was no significant difference in unmet mental health needs between states with and without NP SoP expansion. The probability of receiving a mental health medication was 2.0 percentage points higher (95% CI 0.007, 0.034) for children living in a state with psychologist SoP expansion. Conversely, the probability of receiving a mental health medication was 1.5 percentage points lower (95% CI - 0.023, - 0.007) for children living in a state with NP SoP expansion. Expanded SoP for psychologists is associated with improved access to pediatric mental health care in terms of both unmet need and receiving medication. Expanded SoP for NPs, however, was not associated with unmet need and lower receipt of medication.

A Review of Current Control and Decoupling Methods for MRI Transmit Arrays.

The shortened radio frequency wavelength in high field MRI makes it challenging to create a uniform excitation pattern over a large field of view, or to achieve satisfactory transmission efficiency at a local area. Transmit arrays are one tool that can be used to create a desired excitation pattern. To be effective, it is important to be able to control the current amplitude and phase at the array elements. The control of the current may get complicated by the coil coupling in many applications. Various methods have been proposed to achieve current control, either in the presence of coupling, or by effectively decouple the array elements. These methods are applied in different subsystems in the RF transmission chain: coil; coil-amplifier interface; amplifier, etc. In this review paper, we provide an overview of the various approaches and aspects of transmit current control and decoupling.

Advanced endoscopic imaging for detection of Barrett's esophagus.

Barrett's esophagus (BE) is the precursor to esophageal adenocarcinoma (EAC), and is caused by chronic gastroesophageal reflux. BE can progress over time from metaplasia to dysplasia, and eventually to EAC. EAC is associated with a poor prognosis, often due to advanced disease at the time of diagnosis. However, if BE is diagnosed early, pharmacologic and endoscopic treatments can prevent progression to EAC. The current standard of care for BE surveillance utilizes the Seattle protocol. Unfortunately, a sizable proportion of early EAC and BE-related high-grade dysplasia (HGD) are missed due to poor adherence to the Seattle protocol and sampling errors. New modalities using artificial intelligence (AI) have been proposed to improve the detection of early EAC and BE-related HGD. This review will focus on AI technology and its application to various endoscopic modalities such as high-definition white light endoscopy, narrow-band imaging, and volumetric laser endomicroscopy.

Developing Mixed-Effects Models to Compare the Predictive Ability of Various Comorbidity Indices in a Contemporary Cohort of Patients Undergoing Lumbar Fusion.

BACKGROUND AND OBJECTIVE: As incidence of operative spinal pathology continues to grow, so do the rates of lumbar spinal fusion procedures. Comorbidity indices can be used preoperatively to predict potential complications. However, there is a paucity of research defining the optimal comorbidity indices in patients undergoing spinal fusion surgery. We aimed to use modeling strategies to evaluate the predictive validity of various comorbidity indices and combinations thereof. METHODS: Patients who underwent spinal fusion were queried using data from the Nationwide Readmissions Database for the years 2016 through 2019. Using comorbidity indices as predictor variables, receiver operating characteristic curves were developed for pertinent complications such as mortality, nonroutine discharge, top-quartile cost, top-quartile length of stay, and 30-day readmission. RESULTS: A total of 750 183 patients were included. Nonroutine discharges occurred in 161 077 (21.5%) patients. The adjusted all-payer cost for the procedure was $37 616.97 ± $27 408.86 (top quartile: $45 409.20), and the length of stay was 4.1 ± 4.4 days (top quartile: 8.1 days). By comparing receiver operating characteristics of various models, it was found that models using Frailty + Elixhauser Comorbidity Index (ECI) as the primary predictor performed better than other models with statistically significant P -values on post hoc testing. However, for prediction of mortality, the model using Frailty + ECI was not better than the model using ECI alone ( P = .23), and for prediction of all-payer cost, the ECI model outperformed the models using frailty alone ( P < .0001) and the model using Frailty + ECI ( P < .0001). CONCLUSION: This investigation is the first to use big data and modeling strategies to delineate the relative predictive utility of the ECI and Johns Hopkins Adjusted Clinical Groups comorbidity indices for the prognostication of patients undergoing lumbar fusion surgery. With the knowledge gained from our models, spine surgeons, payers, and hospitals may be able to identify vulnerable patients more effectively within their practice who may require a higher degree of resource utilization.