A community-based geriatric interprofessional education experience and its impact on post-graduate collaborative practice.

While a growing body of interprofessional education (IPE) literature demonstrates a positive impact on learner knowledge, there is limited data on its long-term impact on collaborative practice (CP). With the growth of the aging population globally, understanding both the long-term impact on CP and sustainability of community-based geriatric experiential IPE programs are imperative. This study explores the impact of the Interprofessional Geriatric Curriculum (IPGC), a community-based geriatric IPE program, on post-graduate clinical practice among seven health professions. This study utilized a cross-sectional descriptive design, where both qualitative and quantitative data were collected in the same online survey of health professionals' to measure their perceptions of the impact IPGC has had on their respective clinical practice 1-3 years post-graduation. Forty-six per cent of health profession graduates provided clinical care for people 65 years of age or older; 81% worked in interprofessional teams; 80% reported the IPGC experience significantly impacted their practice (N = 137), and all used validated assessment tools taught in the IPGC program in their practice. Eight themes emerged from the list of what health professionals learned from IPGC that they use regularly in their clinical practice: four themes were interprofessional in nature (i.e. teamwork and team-based care, interprofessional communication, roles/responsibilities, and personal/professional) and four themes related to geriatrics (i.e. aging, screening and assessment, medications, and didactic content). This study is one of the first to describe the sustained influence of a community-based IPE program across multiple health professional disciplines on clinical geriatric practice.

Predictive Nomogram and Propensity Score Matching in Neuroendocrine Carcinoma of the Tubular Gastrointestinal Tract: A US Population-Based Clinical Outcome Study.

Background: Neuroendocrine carcinomas (NECs) of the tubular gastrointestinal tract (GI-NECs) are rare and associated with worse clinical outcomes. This population-based study aims to highlight key demographics, clinicopathological factors, and survival outcomes in the US population. Methods: Data from 10,387 patients with GI-NECs were extracted from the Surveillance, Epidemiology, and End Result (SEER) database from 2000 to 2020. Results: Most patients were >40 years old at the time of presentation with a median age of 63 years old, with almost equal ethnic distribution per US population data. The most common primary tumor site was the small intestine (33.6%). The metastatic spread was localized in 34.8%, regional in 27.8%, and distant in 37.3% of cases, and the liver was the most common site of metastasis (19.9%) in known cases of metastases. Most NEC patients underwent surgery, presenting the highest 5-year overall survival of 73.2% with a 95% confidence interval (CI) (95% CI 72.0-74.4%), while chemotherapy alone had the lowest 5-year survival of 8.0% (95% CI 6.4-10.0%). Compared to men, women had a superior 5-year survival rate of 59.0% (95% CI 57.6-60.5%). On multivariate analysis, age > 65 (HR 2.49, 95% CI 2.36-2.54%, p ≤ 0.001), distant metastasis (HR 2.57, 95% CI 2.52-2.62%, p ≤ 0.001), tumor size > 4 mm (HR 1.98, 95%, CI 1.70-2.31%, p ≤ 0.001), esophageal (HR 1.49, 95% CI 0.86-2.58%, p ≤ 0.001), transverse colon (HR 1.95, 95% CI 1.15-3.33%, p ≤ 0.01), descending colon (HR 2.12, 95% CI 1.12, 3.97%, p = 0.02) anorectal sites, and liver or lung metastases were associated with worse survival. Surgical intervention and tumors located in the small intestine or appendix showed a better prognosis. Conclusion: GI-NECs are a group of rare malignancies associated with a poor prognosis. Therefore, epidemiological studies analyzing national databases may be the best alternative to have a more comprehensive understanding of this condition, assess the impact of current practices, and generate prognosis tools.

Effects of Ca 2+ on the Structure and Dynamics of PIP3 in Model Membranes Containing PC and PS.

Phosphatidylinositol phosphates (PIPs) are a family of seven different eukaryotic membrane lipids that have a large role in cell viability, despite their minor concentration in eukaryotic cellular membranes. PIPs tightly regulate cellular processes such as cellular growth, metabolism, immunity, and development through direct interactions with partner proteins. Understanding the biophysical properties of PIPs in the complex membrane environment is important to understand how PIPs selectively regulate a partner protein. Here we investigate the structure and dynamics of PIP3 in lipid bilayers that are simplified models of the natural membrane environment. We probe the effects of the anionic lipid phosphatidylserine (PS) and the divalent cation Ca 2+ . We use solution and solid-state 1 H, 31 P, and 13 C NMR all at natural abundance combined with MD simulations to characterize the structure and dynamics of PIPs. 1 H and 31 P 1D spectra show good resolution at high temperatures with isolated peaks in the headgroup, interfacial, and bilayer regions. Site specific assignment of these 1D reporters were made and used to measure the effects of Ca 2+ and PS. In particular, the resolved 31 P signals of the PIP3 headgroup allowed for extremely well localized information about PIP3 phosphate dynamics, which the MD simulations were able to help explain. Cross polarization kinetics provided additional site-specific dynamics measurements for the PIP3 headgroups.

Region-specific changes in brain glutamate and gamma-aminobutyric acid across the migraine attack in children and adolescents.

ABSTRACT: In patients with migraine, an excitation-inhibition imbalance that fluctuates relative to attack onset has been proposed to contribute to the underlying pathophysiology of migraine, but this has yet to be explored in children and adolescents. This prospective, observational, cohort study examined glutamate and gamma-aminobutyric acid (GABA) levels across the phases of a migraine attack and interictally in children and adolescents using magnetic resonance spectroscopy. Macromolecule-suppressed GABA (sensorimotor cortex and thalamus) and glutamate (occipital cortex, sensorimotor cortex, and thalamus) were measured in children and adolescents (10-17 years) with a migraine diagnosis with or without aura 4 times over 2 weeks. Linear mixed-effects models examined changes in glutamate and GABA during the 72 hours leading up to, and after the onset of an attack. We found significant region-specific changes in glutamate and GABA. Specifically, sensorimotor GABA significantly increased leading up to the headache phase, whereas glutamate significantly decreased following the headache onset in the occipital cortex and the thalamus. Post hoc analyses examined the 24 hours leading up to or following the onset of the headache phase. In the 24 hours before the headache onset, sensorimotor glutamate, occipital glutamate, and thalamic GABA decreased. In the 24 hours post headache onset, sensorimotor glutamate continued to decrease. Our results suggest changes in glutamate and GABA that are consistent with the thalamocortical dysrhythmia hypothesis. These findings provide insight into developmental migraine pathophysiology and may open future avenues for treatment targets specific to children and adolescents.

Assessment of sleep parameters in adults with persistent post-concussive symptoms.

OBJECTIVES: The primary aim of this study was to characterize sleep in adults with persistent post-concussive symptoms (PPCS). Secondary aims explored relationships between sleep parameters, injury characteristics, and symptom questionnaires. METHODS: This case-controlled, cross-sectional study recruited adults (18-65yrs) diagnosed with PPCS and age and sex-matched controls. Participants wore a wrist-worn actigraph for 3-7 nights and completed daily sleep diaries. Participants completed questionnaires examining daytime sleepiness, fatigue, anxiety/depressive symptoms, and sedentariness. Sleep parameters were compared between groups using Mann-Whitney U tests. Secondary analyses used two-way ANOVA and Spearman's rank correlations. RESULTS: Fifty adults with PPCS (43.7 ± 10.6yrs, 78 % female) and 50 controls (43.6 ± 11.0yrs) were included in this study. Adults with PPCS had significantly longer sleep onset latency (PPCS 16.99 ± 14.51min, Controls 8.87 ± 6.44min, p < 0.001) and total sleep time (PPCS 8.3 ± 1.0hrs, Control 7.6 ± 0.9hrs, p = 0.030) compared to controls, but woke up later (PPCS 7:57:27 ± 1:36:40, Control 7:17:16 ± 0:50:08, p = 0.026) and had poorer sleep efficiency (PPCS 77.9 ± 7.5 %, Control 80.8 ± 6.0 %, p = 0.019) than controls. Adults with PPCS reported more daytime sleepiness (Epworth Sleepiness Scale: PPCS 8.70 ± 4.61, Control 4.28 ± 2.79, p < 0.001) and fatigue (Fatigue Severity Scale: PPCS 56.54 ± 12.92, Control 21.90 ± 10.38, p < 0.001). Injury characteristics did not significantly affect sleep parameters in adults with PPCS. Actigraphy parameters were not significantly correlated to questionnaire measures. CONCLUSION: Several actigraphy sleep parameters were significantly altered in adults with PPCS compared to controls, but did not correlate with sleep questionnaires, suggesting both are useful tools in characterizing sleep in PPCS. Further, this study provides potential treatment targets to improve sleep difficulties in adults with PPCS.

Artificial Intelligence: Can It Save Lives, Hospitals, and Lung Screening?

BACKGROUND: Early detection is essential in lung cancer survival. Lung screening or incidental detection on unrelated imaging holds the most promise for early detection. With the large volume of imaging performed today, management of incidental pulmonary nodules can be difficult. We hypothesized an artificial intelligence (AI) tool could reliably read all imaging reports, detect, and effectively triage indeterminate pulmonary nodules without adding additional personnel, helping save lives. METHODS: An incidental lung nodule clinic (ILNC) was created using AI and an existing nurse practitioner. Over 26 months, the software read all radiology reports, visualizing any lung tissue. Patients with nodules >3 mm and considered indeterminate by the nurse practitioner were referred to the ILNC. High-risk patients with benign nodules were offered entry into the lung screening program. RESULTS: Of 502,632 imaging reports analyzed, 22,136 (4.4%) had positive findings. Follow-up data were lacking in 11,797 (2.3%), 911 (7.7%) were verified lost, and 518 (4.4%) were referred to the ILNC. There were 393 patients with benign nodules and accepted enrollment in the lung screening program. Mean age of enrolled patients was 61 years, and 53% were men. Workup included 499 diagnostic computed tomographic scans, 39 positron emission tomographic scans, and 27 biopsy samples that identified 15 malignancies (2.9%), with 14 lung cancers (8 stage I, 4 stage III, and 2 stage IV). Treatment included 5 lobectomies, and 4 underwent stereotactic body radiation therapy. Financials were favorable. CONCLUSIONS: AI software can supplement practitioners, help diagnose lung cancer earlier, save lives, and generate value-based revenue for the hospital.

Cell-type-specific consequences of mosaic structural variants in hematopoietic stem and progenitor cells.

The functional impact and cellular context of mosaic structural variants (mSVs) in normal tissues is understudied. Utilizing Strand-seq, we sequenced 1,133 single-cell genomes from 19 human donors of increasing age, and discovered the heterogeneous mSV landscapes of hematopoietic stem and progenitor cells. While mSVs are continuously acquired throughout life, expanded subclones in our cohort are confined to individuals >60. Cells already harboring mSVs are more likely to acquire additional somatic structural variants, including megabase-scale segmental aneuploidies. Capitalizing on comprehensive single-cell micrococcal nuclease digestion with sequencing reference data, we conducted high-resolution cell-typing for eight hematopoietic stem and progenitor cells. Clonally expanded mSVs disrupt normal cellular function by dysregulating diverse cellular pathways, and enriching for myeloid progenitors. Our findings underscore the contribution of mSVs to the cellular and molecular phenotypes associated with the aging hematopoietic system, and establish a foundation for deciphering the molecular links between mSVs, aging and disease susceptibility in normal tissues.

Frequency and phase correction of GABA-edited magnetic resonance spectroscopy using complex-valued convolutional neural networks.

PURPOSE: To determine the significance of complex-valued inputs and complex-valued convolutions compared to real-valued inputs and real-valued convolutions in convolutional neural networks (CNNs) for frequency and phase correction (FPC) of GABA-edited magnetic resonance spectroscopy (MRS) data. METHODS: An ablation study using simulated data was performed to determine the most effective input (real or complex) and convolution type (real or complex) to predict frequency and phase shifts in GABA-edited MEGA-PRESS data using CNNs. The best CNN model was subsequently compared using both simulated and in vivo data to two recently proposed deep learning (DL) methods for FPC of GABA-edited MRS. All methods were trained using the same experimental setup and evaluated using the signal-to-noise ratio (SNR) and linewidth of the GABA peak, choline artifact, and by visually assessing the reconstructed final difference spectrum. Statistical significance was assessed using the Wilcoxon signed rank test. RESULTS: The ablation study showed that using complex values for the input represented by real and imaginary channels in our model input tensor, with complex convolutions was most effective for FPC. Overall, in the comparative study using simulated data, our CC-CNN model (that received complex-valued inputs with complex convolutions) outperformed the other models as evaluated by the mean absolute error. CONCLUSION: Our results indicate that the optimal CNN configuration for GABA-edited MRS FPC uses a complex-valued input and complex convolutions. Overall, this model outperformed existing DL models.

The role and novel use of natural killer cells in graft-versus-leukemia reactions after allogeneic transplantation.

Allogeneic hematopoietic cell transplantation (HCT) has transformed over the past several decades through enhanced supportive care, reduced intensity conditioning (RIC), improved human leukocyte antigen (HLA) typing, and novel graft-versus-host disease (GVHD)-prevention and treatment strategies. Most notably, the implementation of post-transplantation cyclophosphamide (PTCy) has dramatically increased the safety and availability of this life-saving therapy. Given reductions in nonrelapse mortality (NRM) with these advances, the HCT community has placed even greater emphasis on developing ways to reduce relapse - the leading cause of death after HCT. When using RIC HCT, protection from relapse relies predominantly on graft-versus-leukemia (GVL) reactions. Donor lymphocyte infusion (DLI), adoptive cellular therapy, checkpoint inhibition, and post-HCT maintenance strategies represent approaches under study that aim to augment or synergize with the GVL effects of HCT. Optimizing donor selection algorithms to leverage GVL represents another active area of research. Many of these strategies seek to harness the effects of T cells, which for decades were felt to be the primary mediators of GVL and the focus of investigation in relapse reduction. However, there is growing interest in capitalizing on the ability of natural killer (NK) cells to yield potent anti-tumor effects. A potential advantage of NK cell-based approaches over T cell-mediated is the potential to reduce NRM in addition to relapse. By decreasing infection, without increasing the risk of GVHD, NK cells may mitigate NRM, while still yielding relapse reduction through identification and clearance of cancer cells. Most T cell-focused relapse-prevention strategies must weigh the benefits of relapse reduction against the increased risk of NRM from GVHD. In contrast, NK cells have the potential to reduce both, potentially tipping the scales significantly in favor of survival. Here, we will review the role of NK cells in GVL, optimization of NK cell match or mismatch, and burgeoning areas of research in NK cell therapy such as adoptive transfer and chimeric antigen receptor (CAR) NK cells.

What Explains Inequalities in Telehealth Utilization Among North Carolina Medicaid Beneficiaries?

Background: Increased availability of telehealth can improve access to health care. However, there is evidence of persistent disparities in telehealth usage, as well as among people from minoritized racial and ethnic groups and rural residents. The objective of our work was to explore the degree to which disparities in telehealth use for behavioral health (BH) and musculoskeletal (MSK) related services during the COVID-19 pandemic are explained by observed beneficiary- and area-level characteristics. Methods: Using North Carolina Medicaid claims data of Medicaid beneficiaries with BH or MSK conditions, we apply nonlinear regression-based decomposition analysis-based models developed by Kitagawa, Oaxaca, and Blinder to determine which observed variables are associated with racial, ethnic, and rural inequalities in telehealth usage. Results: In the BH cohort, we found statistically significant differences in telehealth usage by race in the adult population, and by race, Hispanic ethnicity, and rurality in the pediatric population. In the MSK cohort, we found significant inequities by Hispanic ethnicity and rurality among adults, and by race and rurality among children. Inequalities in telehealth use between groups were small, ranging from 0.7 percentage points between urban and rural adults with MSK conditions to 3.8 percentage points between white adults and people of color among those with BH conditions. Overall, we found that racial and ethnic inequalities in telehealth use are not well explained by the observed variables in our data. Rural disparities in telehealth use are better explained by observed variables, particularly area-level broadband internet use. Conclusions: For inequalities between rural and urban residents, our analysis provides observational evidence that infrastructure such as broadband internet access is an important driver of differences in telehealth use. For racial and ethnic inequalities, the pathways may be more complex and difficult to measure, particularly when relying on administrative data sources in place of more detailed data on individual-level socioeconomic factors.

Structural network topology associated with naming improvements following intensive aphasia therapy in post-stroke aphasia.

A stroke can disrupt the finely tuned language network resulting in aphasia, a language impairment. Though many stroke survivors with aphasia recover within the first 6 months, a significant proportion have lasting deficits. The factors contributing to optimal treatment response remain unclear. Some evidence suggests that increased modularity or fragmentation of brain networks may underlie post-stroke aphasia severity and the extent of recovery. We examined associations between network organization and aphasia recovery in sixteen chronic stroke survivors with non-fluent aphasia following 35 h of Multi-Modality Aphasia Therapy over 10 days and 20 healthy controls who underwent imaging at a single timepoint. Using diffusion-weighted scans obtained before and after treatment, we constructed whole-brain structural connectomes representing the number of probabilistic streamlines between brain regions. Graph theory metrics were quantified for each connectome using the Brain Connectivity Toolbox. Correlations were examined between graph metrics and speech performance measured using the Boston Naming Test (BNT) at pre-, post- and 3-months post-intervention. Compared to controls, participants with stroke demonstrated higher whole-brain modularity at pre-treatment. Modularity did not differ between pre- and post-treatment. In individuals who responded to therapy, higher pre-treatment modularity was associated with worse performance on the BNT. Moreover, higher pre-treatment participation coefficients (i.e., how well a region is connected outside its own module) for the left IFG, planum temporale, and posterior temporal gyri were associated with greater improvements at post-treatment. These results suggest that pre-treatment network topology may impact therapeutic gains, highlighting the influence of network organization on post-stroke aphasia recovery.

Enhancing NICU Care and Communication: Perspectives of Moderately Preterm Infant Parents.

BACKGROUND: Moderately preterm infants (MPTI) comprise a large proportion of NICU admissions and are an understudied population. The unique experience of families with MPTIs has yet to be examined in the literature. Describing MPTI parent needs and preferences may inform interventions to improve care and outcomes for this population. METHODS: Semistructured qualitative interviews were performed with English-speaking birth parents of infants born between 32 and 34 weeks gestation to describe their NICU experience and identify areas for improvement specifically surrounding care team inclusion, education, discharge, and communication. Interviews were recorded, transcribed, and analyzed using directed content analysis. Enrollment ceased when the data reached thematic saturation. RESULTS: Sixteen birth parents participated. Four themes emerged around parent-medical team connectedness, parental confusion, discharge readiness, and the desire for a use of a mix of in-person and electronic communication methods (e-mail, texting, apps, etc) for communication. MPTI parents valued a strong connection with the medical team; however, they described a lack of knowledge regarding the reasons for admission and ongoing management. Near discharge, parents desired more information regarding feeding, reflux, and breathing patterns. Parents preferred in-person discussions but described a role for electronic methods to improve their understanding of their infant and discharge readiness. CONCLUSIONS: From the MPTI parent perspective, clinicians can focus improvement efforts on communication, specifically around reasons for admission, discharge planning, and anticipatory guidance. These results may serve as a foundation for initiatives to improve the MPTI parent experience and potentially parent and MPTI outcomes.

Influence of Medical Interpreters on the Healthcare Experiences of Hospitalized Spanish-Speaking Patients.

Introduction: The perspective of hospitalized patients with limited English proficiency (LEP) in US hospitals interacting with language-discordant healthcare providers remains understudied. Our goal is to examine the inpatient experiences of Spanish-speaking patients and offer suggestions to improve patient satisfaction. Methods: A survey was administered to Spanish-speaking patients using interpreters during their admission to medicine at an urban, academic hospital. Qualitative thematic analysis of responses was conducted. Results: Thirty-six patients completed the survey. Despite limited use of interpreters, the majority of patients rated interpretation services as excellent, reported high level of involvement in care and respect of their opinions, and preferred video remote interpreting and in-person interpreters. Language barrier and cost affected patients' comfort level requesting health care services. The mean patient satisfaction score was 9.64. Patients suggested an increase in bilingual personnel, improved access to interpreters, specifically in-person. Conclusion: Although highly satisfied, patients reported inconsistent use of interpretation services in the inpatient setting and suboptimal access. Hospitals should strive to provide language-concordant care and patient-centered interpretation. Patients' understanding of their health care rights needs better assessment to ease the inpatient experience. Further research is needed to estimate the regard for autonomy by Spanish-speaking patients in their own care.

Results of the 2023 ISBI challenge to reduce GABA-edited MRS acquisition time.

PURPOSE: Use a conference challenge format to compare machine learning-based gamma-aminobutyric acid (GABA)-edited magnetic resonance spectroscopy (MRS) reconstruction models using one-quarter of the transients typically acquired during a complete scan. METHODS: There were three tracks: Track 1: simulated data, Track 2: identical acquisition parameters with in vivo data, and Track 3: different acquisition parameters with in vivo data. The mean squared error, signal-to-noise ratio, linewidth, and a proposed shape score metric were used to quantify model performance. Challenge organizers provided open access to a baseline model, simulated noise-free data, guides for adding synthetic noise, and in vivo data. RESULTS: Three submissions were compared. A covariance matrix convolutional neural network model was most successful for Track 1. A vision transformer model operating on a spectrogram data representation was most successful for Tracks 2 and 3. Deep learning (DL) reconstructions with 80 transients achieved equivalent or better SNR, linewidth and fit error compared to conventional 320 transient reconstructions. However, some DL models optimized linewidth and SNR without actually improving overall spectral quality, indicating a need for more robust metrics. CONCLUSION: DL-based reconstruction pipelines have the promise to reduce the number of transients required for GABA-edited MRS.

Social determinants of health in adults with whiplash associated disorders.

OBJECTIVES: Although it is well-known that chronic diseases need to be managed within the complex biopsychosocial framework, little is known about the role of sociodemographic features in adults with whiplash-associated disorders (WAD) and their association with health outcomes. The aim of this study was to investigate the association between various sociodemographic features (age, sex, ethnicity, education, working, marriage, caring for dependents, and use of alcohol and drugs) and health outcomes (pain, disability, and physical/mental health-related quality of life) in WAD, both through their individual relationships and also via cluster analysis. METHODS: Independent t-tests and Kruskal-Wallis tests (with Mann-Whitney tests where appropriate) were used to compare data for each health outcome. Variables demonstrating a significant relationship with health outcomes were then entered into two-step cluster analysis. RESULTS: N = 281 participated in study (184 females, mean (±SD) age 40.9 (±10.7) years). Individually, level of education (p = 0.044), consumption of non-prescribed controlled or illegal drugs (p = 0.015), and use of alcohol (p = 0.008) influenced level of disability. Age (p = 0.014), marriage status (p = 0.008), and caring for dependents (p = 0.036) influenced mental health quality of life. Collectively, two primary clusters emerged, with one cluster defined by marriage, care of dependents, working status, and age >40 years associated with improved mental health outcomes (F 1,265 = 10.1, p = 0.002). DISCUSSION: Consistent with the biopsychosocial framework of health, this study demonstrated that various sociodemographic features are associated with health outcomes in WAD, both individually and collectively. Recognizing factors that are associated with poor health outcomes may facilitate positive outcomes and allow resource utilization to be tailored appropriately.

Ablation of Mitochondrial RCC1-L Induces Nigral Dopaminergic Neurodegeneration and Parkinsonian-like Motor Symptoms.

Mitochondrial dysfunction has been linked to both idiopathic and familial forms of Parkinson's disease (PD). We have previously identified RCC1-like (RCC1L) as a protein of the inner mitochondrial membrane important to mitochondrial fusion. Herein, to test whether deficits in RCC1L mitochondrial function might be involved in PD pathology, we have selectively ablated the Rcc1l gene in the dopaminergic (DA) neurons of mice. A PD-like phenotype resulted that includes progressive movement abnormalities, paralleled by progressive degeneration of the nigrostriatal tract. Experimental and control groups were examined at 2, 3-4, and 5-6 months of age. Animals were tested in the open field task to quantify anxiety, exploratory drive, locomotion, and immobility; and in the cylinder test to quantify rearing behavior. Beginning at 3-4 months, both female and male Rcc1l knockout mice show rigid muscles and resting tremor, kyphosis and a growth deficit compared with heterozygous or wild type littermate controls. Rcc1l knockout mice begin showing locomotor impairments at 3-4 months, which progress until 5-6 months of age, at which age the Rcc1l knockout mice die. The progressive motor impairments were associated with progressive and significantly reduced tyrosine hydroxylase immunoreactivity in the substantia nigra pars compacta (SNc), and dramatic loss of nigral DA projections in the striatum. Dystrophic spherical mitochondria are apparent in the soma of SNc neurons in Rcc1l knockout mice as early as 1.5-2.5 months of age and become progressively more pronounced until 5-6 months. Together, the results reveal the RCC1L protein to be essential to in vivo mitochondrial function in DA neurons. Further characterization of this mouse model will determine whether it represents a new model for in vivo study of PD, and the putative role of the human RCC1L gene as a risk factor that might increase PD occurrence and severity in humans.

Smartphone App-Delivered Mindfulness-Based Intervention for Mild Traumatic Brain Injury in Adolescents: Protocol for a Feasibility Randomized Controlled Trial.

BACKGROUND: Concussion in children and adolescents is a significant public health concern, with 30% to 35% of patients at risk for prolonged emotional, cognitive, sleep, or physical symptoms. These symptoms negatively impact a child's quality of life while interfering with their participation in important neurodevelopmental activities such as schoolwork, socializing, and sports. Early psychological intervention following a concussion may improve the ability to regulate emotions and adapt to postinjury symptoms, resulting in the greater acceptance of change; reduced stress; and recovery of somatic, emotional, and cognitive symptoms. OBJECTIVE: The primary objective of this study is to assess the feasibility of conducting a parallel-group (1:1) randomized controlled trial (RCT) to evaluate a digital therapeutics (DTx) mindfulness-based intervention (MBI) in adolescents aged 12 to <18 years. The attention-matched comparator intervention (a math game also used in previous RCTs) will be delivered on the same DTx platform. Both groups will be provided with the standard of care guidelines. The secondary objective is to examine intervention trends for quality of life; resilience; self-efficacy; cognition such as attention, working memory, and executive functioning; symptom burden; and anxiety and depression scores at 4 weeks after concussion, which will inform a more definitive RCT. A subsample will be used to examine whether those randomized to the experimental intervention group have different brain-based imaging patterns compared with those randomized to the control group. METHODS: This study is a double-blind Health Canada-regulated trial. A total of 70 participants will be enrolled within 7 days of concussion and randomly assigned to receive the 4-week DTx MBI (experimental group) or comparator intervention. Feasibility will be assessed based on the recruitment rate, treatment adherence to both interventions, and retention. All outcome measures will be evaluated before the intervention (within 7 days after injury) and at 1, 2, and 4 weeks after the injury. A subset of 60 participants will undergo magnetic resonance imaging within 72 hours and at 4 weeks after recruitment to identify the neurophysiological mechanisms underlying the potential benefits from MBI training in adolescents following a concussion. RESULTS: The recruitment began in October 2022, and the data collection is expected to be completed by September 2024. Data collection and management is still in progress; therefore, data analysis is yet to be conducted. CONCLUSIONS: This trial will confirm the feasibility and resolve uncertainties to inform a future definitive multicenter efficacy RCT. If proven effective, a smartphone-based MBI has the potential to be an accessible and low-risk preventive treatment for youth at risk of experiencing prolonged postconcussion symptoms and complications. TRIAL REGISTRATION: ClinicalTrials.gov NCT05105802; https://classic.clinicaltrials.gov/ct2/show/NCT05105802. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/57226.

Psychometrics of the Children's Report of Parental Behavior Inventory among caregivers and youth with HIV.

Parenting has been implicated in a range of youth health outcomes. Positive parenting during adolescence, a critical period of developmental change, may equip youth with the necessary tools for their transition into adulthood and, for youth living with HIV, their transition from pediatric HIV care into adult HIV care. Yet, because few studies have carefully assessed the psychometric properties of parenting instruments applied cross-culturally, the validity of parenting research derived in these contexts remains unclear. This study tested the factor structure of the Children's Report of Parenting Behavior Inventory (CRPBI) in a novel setting (e.g., Rwanda), context (e.g., youth with HIV), and considering multiple informants (caregivers and youth). Youth (N = 330) were on average 16.78 years of age; 51% self-identified as female. Caregivers (N = 330) were on average 44.40 years of age; 80% self-identified as female. The factor structures for youth and caregiver CRPBIs appeared to be indicative of two dimensions: (a) acceptance and positive involvement, and (b) hostile detachment and rejection. The CRPBI worked well for youth reports and showed predictive validity. The CRPBI worked less well for caregivers, necessitating the removal of 10 items, seven of which were related to hostile detachment and rejection. The reliability of both CRPBIs was supported. The CRPBI appears to function well for youth, but not as well for caregivers, in this novel context with this unique population of youth with HIV. The findings support careful assessment of instruments developed in high-resource settings and then used in resource-constrained contexts. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Pack the chest: Damage control strategy for management in thoracic trauma.

BACKGROUND: Damage control surgery aims to control hemorrhage and contamination in the operating room (OR) with definitive management of injuries delayed until normal physiology is restored in the intensive care unit (ICU). There are limited studies evaluating the use of damage control thoracotomy (DCT) in trauma, and the best method of temporary closure is unclear. METHODS: A retrospective review of trauma patients at two level I trauma centers who underwent a thoracotomy operation was performed. Subjects who underwent a thoracotomy after 24 h, age less than 16, expired in the trauma bay, or in the OR prior to ICU admission were excluded. One-way ANOVA and Kruskal-Wallis test were used to compare continuous and categorical variables between DCT and definitive thoracotomy (DT) patients. RESULTS: 207 trauma patients underwent thoracotomy, 76 met our inclusion criteria. DCT was performed in 30 patients (39%), 46 (61 %) underwent DT operation. Techniques for temporizing the chest varied from skin closure with suture (8), adhesive dressing (5), towel clamps (2), or negative pressure devices (12). Compared to definitive closure, DCT had more derangements in HR, pH, (110 vs. 95, p = 0.04; 7.05 vs 7.24, p < 0.001), and injury severity score (41 vs 25, p < 0.001), and required more blood transfusions (40 vs 6, p < 0.001). Eleven (36.7 %) DCT patients survived to discharge compared to 38 patients (95.0 %) in the DT group. DCT showed significantly higher differences in cardiac arrest and unplanned returns to the OR rates. No differences were observed in ventilator days, or ICU length of stay. CONCLUSIONS: DCT is a viable option for management of patients in extremis following thoracic trauma. DCT was associated with higher mortality rates, likely due to differences in injury and physiologic derangement. Despite this, DCT was associated with similar rates of complications, ICU stay, and ventilator days.