Commercially Sexually Exploited Adolescent Girls: The Association Between Externalizing Disorders and Parental Incarceration with Suicide Attempts.

Commercial sexual exploitation (CSE) is a significant public health concern disproportionately affecting ethnoracially minoritized girls. Despite strong associations of CSE with suicide attempts, little is known about correlates of suicide among girls with CSE histories. Elevated rates of externalizing disorders (i.e., attention-deficit/hyperactivity disorder [ADHD], disruptive behavior disorders [DBD], conduct disorder [CD]) were observed among CSE youth, particularly in ethnoracially minoritized samples. Youth with CSE histories are frequently affected by parental incarceration, which is correlated with risk for suicide attempts. We tested cross-sectional simultaneous associations of externalizing disorders and parental incarceration with number of suicide attempts among 360 ethnoracially diverse girls affected by CSE (Mean age = 18.86). ADHD, DBD, and maternal incarceration were positively associated with number of suicide attempts. Findings implicate clinical/familial correlates of suicide attempts in this marginalized group, suggesting early suicide prevention efforts may improve traction on this problem by focusing on individual and family level factors.

Nomenclature of the radial nerve: distinguishing between the deep branch of the radial nerve and the posterior interosseous nerve.

To address an inconsistency in the nomenclature of the anatomy and compressive syndromes of the deep branch of the radial nerve, we advocate for a single compression syndrome that presents along a spectrum from pain to posterior interosseous nerve palsy.

Why dental schools should engage with dental support organizations.

It is incumbent on dental educators to prepare students for careers in various practice settings and modalities. As the dental practice market continues to evolve away from a predominantly solo private practice model, schools are tasked with training future providers to deliver quality care to diverse patient populations in diverse settings. While no single health delivery model will solve access to care, exposing dental students to various practice environments prepares them to better understand and navigate nontraditional postgraduate practice opportunities. The University of California, Los Angeles (UCLA) School of Dentistry established a community-based clinical education (CBCE) program that has grown to include dental support organizations. By partnering with a more diverse portfolio of practice types, including large corporate entities, the UCLA CBCE program has strengthened its financial accountability while also delivering on the goal of enhancing dental education and improving access to care for vulnerable populations.

Artificial intelligence-based epigenomic, transcriptomic and histologic signatures of tobacco use in oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC) biomarker studies rarely employ multi-omic biomarker strategies and pertinent clinicopathologic characteristics to predict mortality. In this study we determine for the first time a combined epigenetic, gene expression, and histology signature that differentiates between patients with different tobacco use history (heavy tobacco use with ≥10 pack years vs. no tobacco use). Using The Cancer Genome Atlas (TCGA) cohort (n = 257) and an internal cohort (n = 40), we identify 3 epigenetic markers (GPR15, GNG12, GDNF) and 13 expression markers (IGHA2, SCG5, RPL3L, NTRK1, CD96, BMP6, TFPI2, EFEMP2, RYR3, DMTN, GPD2, BAALC, and FMO3), which are dysregulated in OSCC patients who were never smokers vs. those who have a ≥ 10 pack year history. While mortality risk prediction based on smoking status and clinicopathologic covariates alone is inaccurate (c-statistic = 0.57), the combined epigenetic/expression and histologic signature has a c-statistic = 0.9409 in predicting 5-year mortality in OSCC patients.

Correlative multiscale 3D imaging of mouse primary and metastatic tumors by sequential light sheet and confocal fluorescence microscopy.

Three-dimensional (3D) optical microscopy, combined with advanced tissue clearing, permits in situ interrogation of the tumor microenvironment (TME) in large volumetric tumors for preclinical cancer research. Light sheet (also known as ultramicroscopy) and confocal fluorescence microscopy are often used to achieve macroscopic and microscopic 3D images of optically cleared tumor tissues, respectively. Although each technique offers distinct fields of view (FOVs) and spatial resolution, the combination of these two optical microscopy techniques to obtain correlative multiscale 3D images from the same tumor tissues has not yet been explored. To establish correlative multiscale 3D optical microscopy, we developed a method for optically marking defined regions of interest (ROIs) within a cleared mouse tumor by employing a UV light-activated visible dye and Z-axis position-selective UV irradiation in a light sheet microscope system. By integrating this method with subsequent tissue processing, including physical ROI marking, reversal of tissue clearing, tissue macrosectioning, and multiplex immunofluorescence, we established a workflow that enables the tracking and 3D imaging of ROIs within tumor tissues through sequential light sheet and confocal fluorescence microscopy. This approach allowed for quantitative 3D spatial analysis of the immune response in the TME of a mouse mammary tumor following cancer immunotherapy at multiple spatial scales. The workflow also facilitated the direct localization of a metastatic lesion within a whole mouse brain. These results demonstrate that our ROI tracking method and its associated workflow offer a novel approach for correlative multiscale 3D optical microscopy, with the potential to provide new insights into tumor heterogeneity, metastasis, and response to therapy at various spatial levels.

Increased Multiplexity in Optical Tissue Clearing-Based Three-Dimensional Immunofluorescence Microscopy of the Tumor Microenvironment by Light-Emitting Diode Photobleaching.

Optical tissue clearing and three-dimensional (3D) immunofluorescence (IF) microscopy is transforming imaging of the complex tumor microenvironment (TME). However, current 3D IF microscopy has restricted multiplexity; only 3 or 4 cellular and noncellular TME components can be localized in cleared tumor tissue. Here we report a light-emitting diode (LED) photobleaching method and its application for 3D multiplexed optical mapping of the TME. We built a high-power LED light irradiation device and temperature-controlled chamber for completely bleaching fluorescent signals throughout optically cleared tumor tissues without compromise of tissue and protein antigen integrity. With newly developed tissue mounting and selected region-tracking methods, we established a cyclic workflow involving IF staining, tissue clearing, 3D confocal microscopy, and LED photobleaching. By registering microscope channel images generated through 3 work cycles, we produced 8-plex image data from individual 400 µm-thick tumor macrosections that visualize various vascular, immune, and cancer cells in the same TME at tissue-wide and cellular levels in 3D. Our method was also validated for quantitative 3D spatial analysis of cellular remodeling in the TME after immunotherapy. These results demonstrate that our LED photobleaching system and its workflow offer a novel approach to increase the multiplexing power of 3D IF microscopy for studying tumor heterogeneity and response to therapy.

Development of short forms for screening children's dental caries and urgent treatment needs using item response theory and machine learning methods.

OBJECTIVES: Surveys can assist in screening oral diseases in populations to enhance the early detection of disease and intervention strategies for children in need. This paper aims to develop short forms of child-report and proxy-report survey screening instruments for active dental caries and urgent treatment needs in school-age children. METHODS: This cross-sectional study recruited 497 distinct dyads of children aged 8-17 and their parents between 2015 to 2019 from 14 dental clinics and private practices in Los Angeles County. We evaluated responses to 88 child-reported and 64 proxy-reported oral health questions to select and calibrate short forms using Item Response Theory. Seven classical Machine Learning algorithms were employed to predict children's active caries and urgent treatment needs using the short forms together with family demographic variables. The candidate algorithms include CatBoost, Logistic Regression, K-Nearest Neighbors (KNN), Naïve Bayes, Neural Network, Random Forest, and Support Vector Machine. Predictive performance was assessed using repeated 5-fold nested cross-validations. RESULTS: We developed and calibrated four ten-item short forms. Naïve Bayes outperformed other algorithms with the highest median of cross-validated area under the ROC curve. The means of best testing sensitivities and specificities using both child-reported and proxy-reported responses were 0.84 and 0.30 for active caries, and 0.81 and 0.31 for urgent treatment needs respectively. Models incorporating both response types showed a slightly higher predictive accuracy than those relying on either child-reported or proxy-reported responses. CONCLUSIONS: The combination of Item Response Theory and Machine Learning algorithms yielded potentially useful screening instruments for both active caries and urgent treatment needs of children. The survey screening approach is relatively cost-effective and convenient when dealing with oral health assessment in large populations. Future studies are needed to further leverage the customize and refine the instruments based on the estimated item characteristics for specific subgroups of the populations to enhance predictive accuracy.

Developmental cascades from maternal preconception stress to child behavior problems: Testing multilevel preconception, prenatal, and postnatal influences.

Although maternal stress during pregnancy and even before conception shapes offspring risk for mental health problems, relatively little is known about the mechanisms through which these associations operate. In theory, preconception and prenatal stress may affect offspring mental health by influencing child responses to postnatal caregiving. To address this knowledge gap, this study had two aims. First, we examined associations between preconception and prenatal stress with child temperament profiles at age four using multilevel assessment of maternal perceived stress and stress physiology. Second, we tested child temperament profiles as moderators of associations between observed parenting behaviors during a parent-child free-play interaction when children were 4 years old and child behavior problems 1 year later. Latent profile analyses yielded four distinct child temperament profiles: inhibited, exuberant, regulated low reactive, and regulated high reactive. Consistent with hypotheses, preconception, and prenatal stress each independently predicted the likelihood of children having temperament profiles characterized by higher negative emotionality and lower regulation. Specifically, preconception perceived stress and prenatal cortisol predicted likelihood of children having an exuberant temperament, whereas prenatal perceived stress predicted likelihood of children having an inhibited temperament. Contrary to hypotheses, temperament profiles did not moderate predictions of child behavior problems from observed parenting behaviors; however, responsive parenting behaviors inversely predicted child behavior problems independently of child temperament. These findings add to growing evidence regarding effects of preconception factors on child outcomes and underscore a central role for responsive parenting behaviors in predicting more favorable child mental health independent of child temperament. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

High-density genetic linkage mapping in Sitka spruce advances the integration of genomic resources in conifers.

In species with large and complex genomes such as conifers, dense linkage maps are a useful resource for supporting genome assembly and laying the genomic groundwork at the structural, populational, and functional levels. However, most of the 600+ extant conifer species still lack extensive genotyping resources, which hampers the development of high-density linkage maps. In this study, we developed a linkage map relying on 21,570 single nucleotide polymorphism (SNP) markers in Sitka spruce (Picea sitchensis [Bong.] Carr.), a long-lived conifer from western North America that is widely planted for productive forestry in the British Isles. We used a single-step mapping approach to efficiently combine RAD-seq and genotyping array SNP data for 528 individuals from 2 full-sib families. As expected for spruce taxa, the saturated map contained 12 linkages groups with a total length of 2,142 cM. The positioning of 5,414 unique gene coding sequences allowed us to compare our map with that of other Pinaceae species, which provided evidence for high levels of synteny and gene order conservation in this family. We then developed an integrated map for P. sitchensis and Picea glauca based on 27,052 markers and 11,609 gene sequences. Altogether, these 2 linkage maps, the accompanying catalog of 286,159 SNPs and the genotyping chip developed, herein, open new perspectives for a variety of fundamental and more applied research objectives, such as for the improvement of spruce genome assemblies, or for marker-assisted sustainable management of genetic resources in Sitka spruce and related species.

Integrating Biobehavioral and Environmental Components of Developmental Psychopathology via Interpersonal Dynamics: An RDoC-Advancing Model.

Although the Research Diagnostic Criteria (RDoC) framework proposes biological and environmental mechanisms intersect in the etiology of psychopathology, there is no guidance on how to define or measure experiences in the environment within the RDoC matrix. Interpersonal dynamics during caregiver-child interactions involve temporal coordination of interacting partners' biobehavioral functioning; repeated experiences of signaling to caregivers and responding to caregivers' signals shape children's subsequent socioemotional and brain development. We begin with a review of the extant literature on caregiver-child dynamics, which reveals that RDoC's units of analysis (brain circuits, physiology, behavior, and self-report) are inextricably linked with moment-to-moment changes in the caregiving environment. We then offer a proof-of-concept for integrating biobehavioral RDoC units and environmental components via caregiver-child dynamics. Our approach uses dynamic structural equation models to estimate within-dyad dynamics involving arousal, social, cognitive, and negative or positive affective processes based on second-by-second changes in parasympathetic activity (RSA) during a conflict discussion and a positive event-planning task. Our results illustrate variation in parent-child RSA synchrony, suggesting differences depending on the driver (i.e., child- or parent-led) and on the unique and intersecting domains involved (e.g., positive or negative affect valence systems). We conclude with recommendations for conducting robust, methodologically rigorous studies of interpersonal dynamics that advance the RDoC framework and provide a summary of the clinical implications of this research. Examining caregiver-child dynamics during and across multiple dyadic interaction paradigms that differentially elicit key domains of functioning can deepen understanding of how caregiver- and child-led interpersonal dynamics contribute to child psychopathology risk.

Antecedents and Consequences of Child Externalizing Problems: Differences in Dynamic Parent-Child Processes.

Given that noncompliance is the most common externalizing problem during middle childhood and reliably predicts significant conduct problems, innovations in elucidating its etiology are sorely needed. Evaluation of in-the-moment antecedents and consequences of child noncompliance improves traction on this goal, given that multiple theories contend that child noncompliance and parent behavior mutually influence each other through negative reciprocation as well as contingent praise processes. Among a sample of 140 families (child age: 6-10 years; 32.1% female), the present study capitalized on intensive repeated measures of observed child noncompliance and parent negative talk and praise objectively coded during three unique tasks. We employed dynamic structural equation modeling to evaluate within-dyad parent-child behavioral dynamics and between-dyad differences therein. Results provided mixed support for hypotheses and suggested that antecedents and consequences of child noncompliance differed according to task demands and child ADHD symptoms. Contrary to models of coercive cycles, during child-led play, parent negative talk was more likely following prior child noncompliance, but child noncompliance was less likely following prior parent negative talk. As expected, during parent-led play, parent praise was less likely following prior child noncompliance, which was also less likely following prior parent praise. Relative to youth with fewer symptoms, for children with elevated ADHD symptoms, during a challenging clean-up task, child noncompliance was less stable and less contingent on prior parent negative talk. Results are discussed in terms of their implications of real-time parent-child interactions for typical and atypical development of externalizing problems.

Anatomical front and back reconstruction sustains radiographic alignment: a comparison to three-ligament tenodesis.

Multiple techniques exist to reconstruct the scapholunate interosseous ligament, though none have demonstrated superiority. This study compares 1-year radiographic outcomes of the three-ligament tenodesis and the anatomical front and back reconstruction. All patients who underwent reconstruction of their scapholunate interosseous ligament at one institution with either anatomical front and back reconstruction or three-ligament tenodesis between 2011 and 2020 were retrospectively reviewed. At 52-week follow-up, anatomical front and back reconstruction maintained a statistically significant improvement in scapholunate gap, corrected radiolunate angle and dorsal scaphoid translation, while three-ligament tenodesis demonstrated no sustained improvement in any parameter. The improvement in dorsal scaphoid translation was significantly greater for patients undergoing anatomical front and back reconstruction compared with three-ligament tenodesis at the 16-weeks postoperative timepoint (-1.0 mm, -0.3 mm). Anatomical front and back reconstruction demonstrates sustained improvement in radiographic outcomes at 1 year when compared with three-ligament tenodesis. By addressing both volar and dorsal critical ligament restraints, adoption of anatomical front and back reconstruction for advanced stage scapholunate interosseous ligament injuries should be considered.Level of evidence: IV.

Increased multiplexity in optical tissue clearing-based 3D immunofluorescence microscopy of the tumor microenvironment by LED photobleaching.

Optical tissue clearing and three-dimensional (3D) immunofluorescence (IF) microscopy have been transforming imaging of the complex tumor microenvironment (TME). However, current 3D IF microscopy has restricted multiplexity; only three or four cellular and non-cellular TME components can be localized in a cleared tumor tissue. Here we report a LED photobleaching method and its application for 3D multiplexed optical mapping of the TME. We built a high-power LED light irradiation device and temperature-controlled chamber for completely bleaching fluorescent signals throughout optically cleared tumor tissues without compromise of tissue and protein antigen integrity. With newly developed tissue mounting and selected region-tracking methods, we established a cyclic workflow involving IF staining, tissue clearing, 3D confocal microscopy, and LED photobleaching. By registering microscope channel images generated through three work cycles, we produced 8-plex image data from individual 400 µm-thick tumor macrosections that visualize various vascular, immune, and cancer cells in the same TME at tissue-wide and cellular levels in 3D. Our method was also validated for quantitative 3D spatial analysis of cellular remodeling in the TME after immunotherapy. These results demonstrate that our LED photobleaching system and its workflow offer a novel approach to increase the multiplexing power of 3D IF microscopy for studying tumor heterogeneity and response to therapy.

Factors Influencing Surgical Decision Making in Trapeziometacarpal Osteoarthritis.

Purpose: With trapeziometacarpal osteoarthritis (TMC OA), the relationship between disease severity and pretreatment dysfunction, patient expectations, and preferred patient treatment and management remains unclear. This study aimed to assess the association between functional status, pretreatment expectations, and demographic and clinical characteristics of TMC OA patients who decide to undergo operative management. Methods: Patients diagnosed with TMC OA (n = 96) were administered the Thumb Arthritis Expectations Survey and the Brief Michigan Hand Questionnaire (bMHQ) during their initial office visit. Demographic data (sex, age, race, education level, marital status, comorbidities, and hand dominance) and clinical characteristics (prior injury, and therapeutic interventions including splinting, steroid injections, therapy, and anti-inflammatory medication) were collected. Multiple logistic regression was used to assess the association between surgical treatment and expectation scores. Results: Our logistic regression model found that lower bMHQ scores, high thumb arthritis expectation survey scores, and prior treatments for TMC OA were associated significantly with the surgical treatment of TMC OA. After controlling for all possible covariates, the odds of having surgery was 3.9 times higher among patients with high expectations (above median) compared to patients with low expectations (adjusted odds ratio [AOR], 3.9; 95% confidence interval [CI], 1.3-11.2). Patients with average function, as measured by bMHQ scores, were 74.5% less likely to elect for surgery than those with the lowest bMHQ (AOR, 0.3; 95% CI, 0.1-0.9). Patients treated previously with steroids were 13 times more likely to elect for surgery than those who were never treated for TMC arthritis (AOR,13.1; 95% CI, 2.2-77.0). Conclusions: Patients with TMC OA who elect to proceed with surgical management have lower bMHQ (greater perceived dysfunction) and higher expectations, and have had prior treatment. Age was not a significant predictor of surgical management of TMC OA. Type of study/level of evidence: Prognostic IV.

Diagnostic and Management Applications of ChatGPT in Structured Otolaryngology Clinical Scenarios.

Objective: To evaluate the clinical applications and limitations of chat generative pretrained transformer (ChatGPT) in otolaryngology. Study Design: Cross-sectional survey. Setting: Tertiary academic center. Methods: ChatGPT 4.0 was queried for diagnoses and management plans for 20 physician-written clinical vignettes in otolaryngology. Attending physicians were then asked to rate the difficulty of the clinical vignettes and agreement with the differential diagnoses and management plans of ChatGPT responses on a 5-point Likert scale. Summary statistics were calculated. Univariate ordinal regression was then performed between vignette difficulty and quality of the diagnoses and management plans. Results: Eleven attending physicians completed the survey (61% response rate). Overall, vignettes were rated as very easy to neutral difficulty (range of median score: 1.00-4.00; overall median 2.00). There was a high agreement with the differential diagnosis provided by ChatGPT (range of median score: 3.00-5.00; overall median: 5.00). There was also high agreement with treatment plans (range of median score: 3.00-5.00; overall median: 5.00). There was no association between vignette difficulty and agreement with differential diagnosis or treatment. Lower diagnosis scores had greater odds of having lower treatment scores. Conclusion: Generative artificial intelligence models like ChatGPT are being rapidly adopted in medicine. Performance with curated, easy-to-moderate difficulty otolaryngology scenarios indicate high agreement with physicians for diagnosis and management. However, a decreased quality in diagnosis is associated with decreased quality in management. Further research is necessary on ChatGPT's ability to handle unstructured clinical information.

Three-dimensional spatial quantitative analysis of cardiac lymphatics in the mouse heart.

OBJECTIVE: Three-dimensional (3D) microscopy and image data analysis are necessary for studying the morphology of cardiac lymphatic vessels (LyVs) and their association with other cell types. We aimed to develop a methodology for 3D multiplexed lightsheet microscopy and highly sensitive and quantitative image analysis to identify pathological remodeling in the 3D morphology of LyVs in young adult mouse hearts with familial hypertrophic cardiomyopathy (HCM). METHODS: We developed a 3D lightsheet microscopy workflow providing a quick turn-around (as few as 5-6 days), multiplex fluorescence detection, and preservation of LyV structure and epitope markers. Hearts from non-transgenic and transgenic (TG) HCM mice were arrested in diastole, retrograde perfused, immunolabeled, optically cleared, and imaged. We built an image-processing pipeline to quantify LyV morphological parameters at the chamber and branch levels. RESULTS: Chamber-specific pathological alterations of LyVs were identified, and significant changes were seen in the right atrium (RA). TG hearts had a higher volume percent of ER-TR7+ fibroblasts and reticular fibers. In the RA, we found associations between ER-TR7+ volume percent and both LyV segment density and median diameter. CONCLUSIONS: This workflow and study enabled multi-scale analysis of pathological changes in cardiac LyVs of young adult mice, inviting ideas for research on LyVs in cardiac disease.

Development and Validation of a Survey to Measure Patients' Expectations of Wrist Arthritis Surgery.

Background The purpose of this study was to develop and test a patient-derived expectations survey for wrist arthritis surgery. We hypothesized that preoperative patient expectations are higher in people with greater functional impairment and that postoperative fulfilment of patient expectations correlates with functional improvement. Methods The study was conducted in four phases. Development (n = 22) Preoperatively, patients were asked open-ended questions regarding expectations of surgery. A draft survey was then assembled. Reliability (n = 35) The survey was administered twice preoperatively. Concordance was measured with weighted kappa values and intraclass correlations (ICC). Validity (n = 58) Validity was assessed by comparing responses from the Expectations Survey to the patient-rated wrist evaluation (PRWE). Responsiveness (n = 18) Responsiveness was calculated by comparing the proportion of expectations fulfilled to PRWE scores 1-year postoperatively. Results Development Twenty-two distinct items representing the most frequent responses were utilized from the draft survey items of 1,244 expectations volunteered. Reliability Patients had high preoperative expectations of surgery (mean = 76.8); 30% had scores ≥90. Test-retest reliability was high (Cronbach α coefficients = 0.91, 0.93, ICC = 0.86). Endorsement of items = 66 to 100%; and weighted kappa values = 0.39 to 0.96. Validity Patients with greater preoperative expectations (≥63) had more pain, worse function, and worse PRWE scores than those with lower expectations. Responsiveness The proportion of fulfilled expectations was high (mean 0.80, median 0.79), and greater fulfillment (proportion > 0.80, n = 8) was associated with better postoperative PRWE scores. Conclusion The patient-derived expectations survey is reliable, valid, responsive, and addresses a spectrum of expectations for patients undergoing surgery for wrist arthritis. Clinical relevance Understanding patient expectations can contribute to customized care given the range of surgical choices for the arthritic wrist.

Transoral Laser Resection of the Tongue Base in the Workup of Unknown Primary Head and Neck Squamous Cell Carcinoma.

Objective Failure to localize the primary tumor site in head and neck carcinoma of unknown origin after imaging and endoscopic evaluation leads to increased treatment-related morbidity. The use of transoral laser microsurgery to improve the detection of unknown primary carcinoma site identification is described in this article. Methods A retrospective cohort of 71 consecutive cases of cervical carcinoma of an unknown primary source from 2006 until 2012 from a single academic institution was analyzed. Of these, 10 patients were excluded based on our exclusion criteria. All patients underwent endoscopy with biopsies performed by fellowship-trained head and neck cancer surgeons.  Results The primary detection rate was 76% for patients who underwent laser tongue base resection versus 34% for traditional operative examination. There were no complications or prolonged recovery times in either group. Operative time was increased by the addition of the transoral base of tongue resection by 30 minutes. Conclusions Laser tongue base excision offers improved sensitivity in primary site detection without a significant increase in morbidity and only a modest increase in operative time.