Mental and Social Health Commons^™

Shared Delusion: Impact On The Parent-Child Relationship, Ngozi Adaralegbe, Ayotomide Oyelakin, Omobusayo Omotayo

Faculty, Staff and Student Publications

Folie à famille, also known as shared psychotic disorder among family members, is a rare and underdiagnosed psychiatric condition. This disorder, seldom discussed in the literature, is particularly notable for its impact on clinical management and parent-child relationships. The few reported cases have predominantly focused on adult populations, leaving a significant gap in understanding how this condition manifests and affects younger individuals and family dynamics. One area that remains largely unexplored in the literature is the intersection between attachment patterns and shared psychosis, particularly in the context of parent-child relationships. Understanding this intersection is crucial, as it can provide insights …

Therapeutic Decisions And Implications In Patients With Attention Deficit Hyperactivity Disorder Versus Bipolar Disorder: Key Insights For Clinicians, Ngozi Adaralegbe, Ayotomide Oyelakin, Omobusayo Omotayo

Faculty, Staff and Student Publications

Attention deficit hyperactivity disorder (ADHD) and pediatric bipolar disorder (BD) are conditions that often manifest in childhood and can persist into adulthood. Due to the similarities in their clinical presentations, it is crucial for clinicians to have a thorough understanding of these disorders. Accurate differentiation of symptoms is essential for making precise diagnoses, as this directly influences treatment decisions and affects the overall functioning and quality of life of those impacted. Considered here is the case of a teenage male who initially presented with impulsivity and was diagnosed with ADHD. However, upon further evaluation, his diagnosis was revised to BD. …

Safer: Sub-Hypergraph Attention-Based Neural Network For Predicting Effective Responses To Dose Combinations, Yi-Ching Tang, Rongbin Li, Jing Tang, W Jim Zheng, Xiaoqian Jiang

Faculty, Staff and Student Publications

BACKGROUND: The potential benefits of drug combination synergy in cancer medicine are significant, yet the risks must be carefully managed due to the possibility of increased toxicity. Although artificial intelligence applications have demonstrated notable success in predicting drug combination synergy, several key challenges persist: (1) Existing models often predict average synergy values across a restricted range of testing dosages, neglecting crucial dose amounts and the mechanisms of action of the drugs involved. (2) Many graph-based models rely on static protein-protein interactions, failing to adapt to dynamic and higher-order relationships. These limitations constrain the applicability of current methods.

RESULTS: We introduce …

Prediction Of Mild Cognitive Impairment Status: Pilot Study Of Machine Learning Models Based On Longitudinal Data From Fitness Trackers, Qidi Xu, Yejin Kim, Karen Chung, Paul Schulz, Assaf Gottlieb

Faculty, Staff and Student Publications

BACKGROUND: Early signs of Alzheimer disease (AD) are difficult to detect, causing diagnoses to be significantly delayed to time points when brain damage has already occurred and current experimental treatments have little effect on slowing disease progression. Tracking cognitive decline at early stages is critical for patients to make lifestyle changes and consider new and experimental therapies. Frequently studied biomarkers are invasive and costly and are limited for predicting conversion from normal to mild cognitive impairment (MCI).

OBJECTIVE: This study aimed to use data collected from fitness trackers to predict MCI status.

METHODS: In this pilot study, fitness trackers were …

Brain-Age Prediction: Systematic Evaluation Of Site Effects, And Sample Age Range And Size, Yuetong Yu, Hao-Qi Cui, Shalaila S Haas, Faye New, Nicole Sanford, Kevin Yu, Denghuang Zhan, Guoyuan Yang, Jia-Hong Gao, Dongtao Wei, Jiang Qiu, Nerisa Banaj, Dorret I Boomsma, Alan Breier, Henry Brodaty, Randy L Buckner, Jan K Buitelaar, Dara M Cannon, Xavier Caseras, Vincent P Clark, Patricia J Conrod, Fabrice Crivello, Eveline A Crone, Udo Dannlowski, Christopher G Davey, Lieuwe De Haan, Greig I De Zubicaray, Annabella Di Giorgio, Lukas Fisch, Simon E Fisher, Barbara Franke, David C Glahn, Dominik Grotegerd, Oliver Gruber, Raquel E Gur, Ruben C Gur, Tim Hahn, Ben J Harrison, Sean Hatton, Ian B Hickie, Hilleke E Hulshoff Pol, Alec J Jamieson, Terry L Jernigan, Jiyang Jiang, Andrew J Kalnin, Sim Kang, Nicole A Kochan, Anna Kraus, Jim Lagopoulos, Luisa Lazaro, Brenna C Mcdonald, Colm Mcdonald, Katie L Mcmahon, Benson Mwangi, Fabrizio Piras, Raul Rodriguez-Cruces, Jessica Royer, Perminder S Sachdev, Theodore D Satterthwaite, Andrew J Saykin, Gunter Schumann, Pierluigi Sevaggi, Jordan W Smoller, Jair C Soares, Gianfranco Spalletta, Christian K Tamnes, Julian N Trollor, Dennis Van't Ent, Daniela Vecchio, Henrik Walter, Yang Wang, Bernd Weber, Wei Wen, Lara M Wierenga, Steven C R Williams, Mon-Ju Wu, Giovana B Zunta-Soares, Boris Bernhardt, Paul Thompson, Sophia Frangou, Ruiyang Ge, Enigma‐Lifespan Working Group

Faculty, Staff and Student Publications

Structural neuroimaging data have been used to compute an estimate of the biological age of the brain (brain‐age) which has been associated with other biologically and behaviorally meaningful measures of brain development and aging. The ongoing research interest in brain‐age has highlighted the need for robust and publicly available brain‐age models pre‐trained on data from large samples of healthy individuals. To address this need we have previously released a developmental brain‐age model. Here we expand this work to develop, empirically validate, and disseminate a pre‐trained brain‐age model to cover most of the human lifespan. To achieve this, we selected the …

Bayesian Varying-Effects Vector Autoregressive Models For Inference Of Brain Connectivity Networks And Covariate Effects In Pediatric Traumatic Brain Injury, Yangfan Ren, Nathan Osborne, Christine B Peterson, Dana M Demaster, Linda Ewing-Cobbs, Marina Vannucci

Faculty, Staff and Student Publications

In this article, we develop an analytical approach for estimating brain connectivity networks that accounts for subject heterogeneity. More specifically, we consider a novel extension of a multi-subject Bayesian vector autoregressive model that estimates group-specific directed brain connectivity networks and accounts for the effects of covariates on the network edges. We adopt a flexible approach, allowing for (possibly) nonlinear effects of the covariates on edge strength via a novel Bayesian nonparametric prior that employs a weighted mixture of Gaussian processes. For posterior inference, we achieve computational scalability by implementing a variational Bayes scheme. Our approach enables simultaneous estimation of group-specific …

The Impact Of Ribosome Biogenesis In Cancer: From Proliferation To Metastasis, Nitish Mittal, Faisal S Ali, Antonio Pizuorno Machado, Sean Ngo, Malek Shatila, Tomas Davee, Nirav Thosani, Vaibhav Wadhwa

Faculty, Staff and Student Publications

A proportion of patients who undergo intraoperative cholangiogram (IOC) do not have bile duct stones at the time of endoscopic retrograde cholangiopancreatography (ERCP), either due to the spontaneous passage of stones or a false-positive IOC. Glucagon has been utilized as an inexpensive tool to allow the passage of micro-choledocholithiasis to the duodenum and resolve filling defects caused by stones or air bubbles. The purpose of our study is to understand the change in diagnostic accuracy of IOC to detect choledocholithiasis with intraoperative glucagon. We conducted a retrospective study at a tertiary care center on adult patients who underwent laparoscopic cholecystectomy …

Financial Incentives For Smoking Cessation Among Socioeconomically Disadvantaged Adults: A Randomized Clinical Trial, Darla E Kendzor, Michael S Businelle, Summer G Frank-Pearce, Joseph J C Waring, Sixia Chen, Emily T Hébert, Michael D Swartz, Adam C Alexander, Munjireen S Sifat, Laili Kharazi Boozary, David W Wetter

Faculty, Staff and Student Publications

IMPORTANCE: Socioeconomically disadvantaged individuals (ie, those with low socioeconomic status [SES]) have difficulty quitting smoking and may benefit from incentive-based cessation interventions.

OBJECTIVES: To evaluate the impact of incentivizing smoking abstinence on smoking cessation among adults with low SES.

DESIGN, SETTING, AND PARTICIPANTS: This study used a 2-group randomized clinical trial design. Data collection occurred between January 30, 2017, and February 7, 2022. Participants included adults with low SES who were willing to undergo smoking cessation treatment. Data were analyzed from April 18, 2023, to April 19, 2024.

INTERVENTIONS: Participants were randomized to usual care (UC) for smoking cessation (counseling …

Neighborhood-Level Social Determinants Of Health Burden Among Adolescent And Young Adult Cancer Patients And Impact On Overall Survival, Elizabeth R Rodriguez, Tori Tonn, Midhat Jafry, Sairah Ahmed, Branko Cuglievan, J Andrew Livingston, Christopher R Flowers, Gregory J Aune, Karen H Albritton, Michael E Roth, Qian Xiao, Michelle A T Hildebrandt

Faculty, Staff and Student Publications

BACKGROUND: Neighborhood socioeconomic deprivation has been linked to adverse health outcomes, yet it is unclear whether neighborhood-level social determinants of health (SDOH) measures affect overall survival in adolescent and young adult patients with cancer.

METHODS: This study used a diverse cohort of adolescent and young adult patients with cancer (N = 10 261) seen at MD Anderson Cancer Center. Zip codes were linked to Area Deprivation Index (ADI) values, a validated neighborhood-level SDOH measure, with higher ADI values representing worse SDOH.

RESULTS: ADI was statistically significantly worse (P < .050) for Black (61.7) and Hispanic (65.3) patients than for White patients (51.2). Analysis of ADI by cancer type showed statistically significant differences, mainly driven by worse ADI in patients with cervical cancer (62.3) than with other cancers. In multivariable models including sex, age at diagnosis, cancer diagnosis, and race and ethnicity, risk of shorter survival for people residing in neighborhoods with the least favorable ADI quartile was greater than for individuals in the most favorable ADI quartile (hazard ratio = 1.09, 95% confidence interval = 1.00 to 1.19, P = .043).

CONCLUSION: Adolescent and young adult patients with cancer and the worst ADI …

Verbal Learning And Memory Deficits Across Neurological And Neuropsychiatric Disorders: Insights From An Enigma Mega Analysis, Eamonn Kennedy, Spencer W Liebel, Hannah M Lindsey, Shashank Vadlamani, Pui-Wa Lei, Maheen M Adamson, Martin Alda, Silvia Alonso-Lana, Tim J Anderson, Celso Arango, Robert F Asarnow, Mihai Avram, Rosa Ayesa-Arriola, Talin Babikian, Nerisa Banaj, Laura J Bird, Stefan Borgwardt, Amy Brodtmann, Katharina Brosch, Karen Caeyenberghs, Vince D Calhoun, Nancy D Chiaravalloti, David X Cifu, Benedicto Crespo-Facorro, John C Dalrymple-Alford, Kristen Dams-O'Connor, Udo Dannlowski, David Darby, Nicholas Davenport, John Deluca, Covadonga M Diaz-Caneja, Seth G Disner, Ekaterina Dobryakova, Stefan Ehrlich, Carrie Esopenko, Fabio Ferrarelli, Lea E Frank, Carol E Franz, Paola Fuentes-Claramonte, Helen Genova, Christopher C Giza, Janik Goltermann, Dominik Grotegerd, Marius Gruber, Alfonso Gutierrez-Zotes, Minji Ha, Jan Haavik, Charles Hinkin, Kristen R Hoskinson, Daniela Hubl, Andrei Irimia, Andreas Jansen, Michael Kaess, Xiaojian Kang, Kimbra Kenney, Barbora Keřková, Mohamed Salah Khlif, Minah Kim, Jochen Kindler, Tilo Kircher, Karolina Knížková, Knut K Kolskår, Denise Krch, William S Kremen, Taylor Kuhn, Veena Kumari, Junsoo Kwon, Roberto Langella, Sarah Laskowitz, Jungha Lee, Jean Lengenfelder, Victoria Liou-Johnson, Sara M Lippa, Marianne Løvstad, Astri J Lundervold, Cassandra Marotta, Craig A Marquardt, Paulo Mattos, Ahmad Mayeli, Carrie R Mcdonald, Susanne Meinert, Tracy R Melzer, Jessica Merchán-Naranjo, Chantal Michel, Rajendra A Morey, Benson Mwangi, Daniel J Myall, Igor Nenadić, Mary R Newsome, Abraham Nunes, Terence O'Brien, Viola Oertel, John Ollinger, Alexander Olsen, Victor Ortiz García De La Foz, Mustafa Ozmen, Heath Pardoe, Marise Parent, Fabrizio Piras, Federica Piras, Edith Pomarol-Clotet, Jonathan Repple, Geneviève Richard, Jonathan Rodriguez, Mabel Rodriguez, Kelly Rootes-Murdy, Jared Rowland, Nicholas P Ryan, Raymond Salvador, Anne-Marthe Sanders, Andre Schmidt, Jair C Soares, Gianfranco Spalleta, Filip Španiel, Scott R Sponheim, Alena Stasenko, Frederike Stein, Benjamin Straube, April Thames, Florian Thomas-Odenthal, Sophia I Thomopoulos, Erin B Tone, Ivan Torres, Maya Troyanskaya, Jessica A Turner, Kristine M Ulrichsen, Guillermo Umpierrez, Daniela Vecchio, Elisabet Vilella, Lucy Vivash, William C Walker, Emilio Werden, Lars T Westlye, Krista Wild, Adrian Wroblewski, Mon-Ju Wu, Glenn R Wylie, Lakshmi N Yatham, Giovana B Zunta-Soares, Paul M Thompson, Mary Jo Pugh, David F Tate, Frank G Hillary, Elisabeth A Wilde, Emily L Dennis

Faculty, Staff and Student Publications

Deficits in memory performance have been linked to a wide range of neurological and neuropsychiatric conditions. While many studies have assessed the memory impacts of individual conditions, this study considers a broader perspective by evaluating how memory recall is differentially associated with nine common neuropsychiatric conditions using data drawn from 55 international studies, aggregating 15,883 unique participants aged 15–90. The effects of dementia, mild cognitive impairment, Parkinson’s disease, traumatic brain injury, stroke, depression, attention-deficit/hyperactivity disorder (ADHD), schizophrenia, and bipolar disorder on immediate, short-, and long-delay verbal learning and memory (VLM) scores were estimated relative to matched healthy individuals. Random forest …

Aging- And Alcohol-Associated Spatial Transcriptomic Signature In Mouse Acute Pancreatitis Reveals Heterogeneity Of Inflammation And Potential Pathogenic Factors, Rachel R Tindall, Yuntao Yang, Isabella Hernandez, Amy Qin, Jiajing Li, Yinjie Zhang, Thomas H Gomez, Mamoun Younes, Qiang Shen, Jennifer M Bailey-Lundberg, Zhongming Zhao, Daniel Kraushaar, Patricia Castro, Yanna Cao, W Jim Zheng, Tien C Ko

Faculty, Staff and Student Publications

The rapidly aging population is consuming more alcohol, leading to increased alcohol-associated acute pancreatitis (AAP) with high mortality. However, the mechanisms remain undefined, and currently there are no effective therapies available. This study aims to elucidate aging- and alcohol-associated spatial transcriptomic signature by establishing an aging AAP mouse model and applying Visium spatial transcriptomics for understanding of the mechanisms in the context of the pancreatic tissue. Upon alcohol diet feeding and caerulein treatment, aging mice (18 months) developed significantly more severe AAP with 5.0-fold increase of injury score and 2.4-fold increase of amylase compared to young mice (3 months). Via …

Clinical And Genomic Profile Of Primary Cranial Neurolymphomatosis, Emily B Wolf, Robin Imperial, Liuyan Jiang, Amit K Agarwal, Han W Tun

Faculty, Staff and Student Publications

Primary cranial neurolymphomatosis (PCNL) is a rare subtype of primary CNS lymphoma (PCNSL) in which infiltrative lymphomatous involvement is confined to cranial nerves. Here, we report a case of PCNL with successful genomic profiling. A 57-year-old male had a lengthy prediagnostic phase spanning approximately 30 months, characterized by multiple episodes of cranial neuropathies managed by steroids. At the time of diagnosis, the patient had right-sided cranial neuropathies involving cranial nerves (CN) V, VI, and VII. Pathological findings of the right cavernous lesion biopsy were consistent with large B-cell lymphoma-infiltrating nerve fibers. The clinical course was aggressive and refractory, characterized by …

A Cocktail Nanovaccine Targeting Key Entry Glycoproteins Elicits High Neutralizing Antibody Levels Against Ebv Infection, Ling Zhong, Wanlin Zhang, Hong Liu, Xinyu Zhang, Zeyu Yang, Zhenfu Wen, Ling Chen, Haolin Chen, Yanran Luo, Yanhong Chen, Qisheng Feng, Mu-Sheng Zeng, Qinjian Zhao, Lixin Liu, Claude Krummenacher, Yi-Xin Zeng, Yongming Chen, Miao Xu, Xiao Zhang

Faculty, Staff and Student Publications

Epstein-Barr virus (EBV) infects more than 95% of adults worldwide and is closely associated with various malignancies. Considering the complex life cycle of EBV, developing vaccines targeting key entry glycoproteins to elicit robust and durable adaptive immune responses may provide better protection. EBV gHgL-, gB- and gp42-specific antibodies in healthy EBV carriers contributed to sera neutralizing abilities in vitro, indicating that they are potential antigen candidates. To enhance the immunogenicity of these antigens, we formulate three nanovaccines by co-delivering molecular adjuvants (CpG and MPLA) and antigens (gHgL, gB or gp42). These nanovaccines induce robust humoral and cellular responses through efficient …

Neuroecological Links Of The Exposome And One Health, Agustin Ibanez, Lucia Melloni, Paweł Świeboda, William Hynes, Burcin Ikiz, Rym Ayadi, Massamba Thioye, Consuelo Walss-Bass, Bahar Güntekin, Jyoti Mishra, Mohamed Salama, Sarah Dunlop, Claudia Duran-Aniotz, Harris A Eyre

Faculty, Staff and Student Publications

This NeuroView assesses the interplay among exposome, One Health, and brain capital in health and disease. Physical and social exposomes affect brain health, and green brain skills are required for environmental health strategies. Ibanez et al. address current gaps and strategies needed in research, policy, and technology, offering a road map for stakeholders.

History Of Suicidal Behavior And Clozapine Prescribing Among People With Schizophrenia In China: A Cohort Study, Yi Yin, Chen Lin, Lijing Wei, Jinghui Tong, Junchao Huang, Baopeng Tian, Shuping Tan, Zhiren Wang, Fude Yang, Yongsheng Tong, Song Chen, L Elliot Hong, Yunlong Tan

Faculty, Staff and Student Publications

BACKGROUND: Clozapine is an off-label drug used in most countries to prevent suicide in individuals with schizophrenia. However, few studies have reported real-world prescription practices. This study aimed to explore the association between a history of suicidal behavior and clozapine prescribing during eight weeks of hospitalization for individuals with early-stage schizophrenia.

METHODS: This observational cohort study used routine health data collected from a mental health hospital in Beijing, China. The study included 1057 inpatients who had schizophrenia onset within 3 years. History of suicidal behavior was coded from reviewing medical notes according to the Columbia Suicide Severity Rating Scale. Information …

Digital Twin Mathematical Models Suggest Individualized Hemorrhagic Shock Resuscitation Strategies, Jeremy W Cannon, Danielle S Gruen, Ruben Zamora, Noah Brostoff, Kelly Hurst, John H Harn, Fayten El-Dehaibi, Zhi Geng, Rami Namas, Jason L Sperry, John B Holcomb, Bryan A Cotton, Jason J Nam, Samantha Underwood, Martin A Schreiber, Kevin K Chung, Andriy I Batchinsky, Leopoldo C Cancio, Andrew J Benjamin, Erin E Fox, Steven C Chang, Andrew P Cap, Yoram Vodovotz

Faculty, Staff and Student Publications

BACKGROUND: Optimizing resuscitation to reduce inflammation and organ dysfunction following human trauma-associated hemorrhagic shock is a major clinical hurdle. This is limited by the short duration of pre-clinical studies and the sparsity of early data in the clinical setting.

METHODS: We sought to bridge this gap by linking preclinical data in a porcine model with clinical data from patients from the Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) study via a three-compartment ordinary differential equation model of inflammation and coagulation.

RESULTS: The mathematical model accurately predicts physiologic, inflammatory, and laboratory measures in both the porcine model and patients, as well …

Investigating The Association Between Metabolic Syndrome Conditions And Perinatal Mental Illness: A National Administrative Claims Study, Karishma Chhabria, Sudhakar Selvaraj, Jerrie Refuerzo, Chau Truong, Cecilia Ganduglia Cazaban

Faculty, Staff and Student Publications

BACKGROUND: Although the association between mental disorder and metabolic syndrome as a bidirectional relationship has been demonstrated, there is little knowledge of the cumulative and individual effect of these conditions on peripartum mental health. This study aims to investigate the association between metabolic syndrome conditions (MetS-C) and maternal mental illness in the perinatal period, while exploring time to incident mental disorder diagnosis in postpartum women.

METHODS: This observational study identified perinatal women continuously enrolled 1 year prior to and 1 year post-delivery using Optum's de-identified Clinformatics® Data Mart Database (CDM) from 2014 to 2019 with MetS-C i.e. obesity, diabetes, high …

Development Of An Antioxidant-Rich Sugar-Free Plantain Candy And Assessment Of Its Shelf Life In A Flexible Laminate, Poulami Sarkar, Paramita Bhattacharjee, Bidhan Das

Faculty, Staff and Student Publications

RESEARCH BACKGROUND: Candy is a popular confection worldwide, and it would be beneficial to society if it were converted into a source of antioxidant molecules to eliminate its adverse health effects. The amount of antioxidants available even in fruit candies is questionable due to the high thermal processing losses they undergo and the presence of various food additives. Plantains (

EXPERIMENTAL APPROACH: To accomplish the first objective, lyophilized plantain powder, sorbitol and mannitol were used as base materials with minimal additives under minimal processing conditions to reduce processing loss. Sensory, proximate, physicochemical and phytochemical properties, including the antioxidant synergy among …

Trends In Shortages Of Lead Chelators From 2001 To 2022, James D Whitledge, Pelayia Soto, Kieran M Glowacki, Diane P Calello, Erin R Fox, Maryann Mazer-Amirshahi

Faculty, Staff and Student Publications

OBJECTIVE: The study aims to describe drug shortages affecting lead chelators in the United States from 2001 through 2022.

METHODS: Drug shortage data were retrieved from the University of Utah Drug Information Service from January 1, 2001, through December 31, 2022. Shortages of first- and second-line lead chelators were analyzed. Drug class, formulation, administration route, shortage reason, shortage duration, generic status, single-source status, and presence of temporally overlapping shortages were examined. Total shortage months, percentages of study period on shortage, and median shortage durations were calculated.

RESULTS: Thirteen lead chelator shortages were reported during the study period. Median duration was …

Insurance Coverage During Transitions: Evidence From Medicaid Automatic Enrollment For Children Receiving Supplemental Security Income, Stephanie Rennane, Danielle Sobol, Bradley D Stein, Andrew Dick

Faculty, Staff and Student Publications

OBJECTIVES: To analyze relationships between Medicaid automatic enrollment for child Supplemental Security Income (SSI) recipients and health insurance coverage during transitions.

DATA SOURCES AND STUDY SETTING: Medical Expenditure Panel Study, 2000-2020 and National Survey for Children with Special Health Care Needs, 2001-2010.

STUDY DESIGN: Leveraging variation in SSI-Medicaid automatic enrollment status across regions and over time, we estimate a regression model to quantify associations between automatic enrollment and insurance coverage. We validate our findings in the NS-CSHCN.

DATA COLLECTION: Our sample includes children receiving SSI for a disability. We also analyze a subsample of children newly enrolled in SSI.

PRINCIPAL …

Characterization Of Disease Burden, Treatment And Comorbidities In A Large, Real-World Cohort Of Patients With Atopic Dermatitis: The Corevitas Atopic Dermatitis Registry, Jonathan I Silverberg, Angel Cronin, Eric A Jones, Swapna S Dave, Robert R Mclean, Jeffrey Greenberg, Bruce Strober, Thomas Bieber, Melinda Gooderham, Amy S Paller, Eric L Simpson

Faculty, Staff and Student Publications

No abstract provided.

Sociodemographic And Patient Reported Outcomes By Racial And Ethnicity Status Among Participants In A Randomized Controlled Trial For Methamphetamine Use Disorder, Chukwuemeka N Okafor, Thomas Carmody, Angela L Stotts, Gavin Bart, Taryn L Mayes, Tara Karns-Wright, Madhukar Trivedi, Steve Shoptaw, Jennifer S Potter

Faculty, Staff and Student Publications

Background: There has been a significant increase in methamphetamine use and methamphetamine use disorder (Meth UD) in the United States, with evolving racial and ethnic differences.

Objectives: This secondary analysis explored racial and ethnic differences in baseline sociodemographic and clinical characteristics as well as treatment effects on a measure of substance use recovery, depression symptoms, and methamphetamine craving among participants in a pharmacotherapy trial for Meth UD.

Methods: The ADAPT-2 trial (ClinicalTrials.gov number, NCT03078075; N=403; 69% male) was a multisite, 12-week randomized, double-blind, trial that employed a two-stage sequential parallel design to evaluate the efficacy of combination naltrexone (NTX) …

Pharmacokinetic Analysis Of A Phenobarbital Overdose Treated With Urinary Alkalinization Alone, Justin Seltzer, Jeremy Hardin, Henrik Galust, Nathan Friedman, Bryan Corbett, Richard F Clark

Faculty, Staff and Student Publications

Phenobarbital is a long-acting barbiturate used to treat alcohol withdrawal and epilepsy. Acute overdoses present with varying levels of central nervous system depression and large overdoses can be life threatening. Phenobarbital is an attractive candidate for enhanced elimination using urinary alkalinization given it is a weak acid with a long half-life and extensive urinary elimination. Limited human data exist regarding use of urine alkalinization for the treatment of phenobarbital overdose. We present a fourteen-year-old female who was treated with urinary alkalinization alone following an intentional ingestion of 3800 mg (84.4 mg/kg) of phenobarbital tablets. Urine drugs of abuse screening was …

A Pilot Acceptability Evaluation Of Mommind: A Digital Health Intervention For Peripartum Depression Prevention And Management Focused On Health Disparities, Alexandra Zingg, Amy Franklin, Angela Ross, Sahiti Myneni

Faculty, Staff and Student Publications

Health disparities cause significant strain on the wellbeing of individuals and society. In this study, we focus on the health disparities present in the condition of Peripartum Depression (PPD), a significant public health issue. While PPD can be managed through therapy and medication, many women do not receive adequate PPD treatment due to issues of social stigma and limited access to healthcare resources. Digital health technologies can offer practical tools for PPD management. However, current solutions do not integrate behavior theory and are rarely responsive to the transient information needs stemming from women's unique sociodemographic, clinical and psychosocial profiles. We …

Brain Cell-Type Shifts In Alzheimer’S Disease, Autism, And Schizophrenia Interrogated Using Methylomics And Genetics, Chloe X Yap, Daniel D Vo, Matthew G Heffel, Arjun Bhattacharya, Cindy Wen, Yuanhao Yang, Kathryn E Kemper, Jian Zeng, Zhili Zheng, Zhihong Zhu, Eilis Hannon, Dorothea Seiler Vellame, Alice Franklin, Christa Caggiano, Brie Wamsley, Daniel H Geschwind, Noah Zaitlen, Alexander Gusev, Bogdan Pasaniuc, Jonathan Mill, Chongyuan Luo, Michael J Gandal

Faculty, Staff and Student Publications

Few neuropsychiatric disorders have replicable biomarkers, prompting high-resolution and large-scale molecular studies. However, we still lack consensus on a more foundational question: whether quantitative shifts in cell types-the functional unit of life-contribute to neuropsychiatric disorders. Leveraging advances in human brain single-cell methylomics, we deconvolve seven major cell types using bulk DNA methylation profiling across 1270 postmortem brains, including from individuals diagnosed with Alzheimer's disease, schizophrenia, and autism. We observe and replicate cell-type compositional shifts for Alzheimer's disease (endothelial cell loss), autism (increased microglia), and schizophrenia (decreased oligodendrocytes), and find age- and sex-related changes. Multiple layers of evidence indicate that endothelial …

Determinants Of Implementation For Group Medical Visits For Patients With Chronic Pain: A Systematic Review, Isabel Roth, Malik Tiedt, Carrie Brintz, Ariana Thompson-Lastad, Gayla Ferguson, Erum Agha, Jennifer Holcomb, Paula Gardiner, Jennifer Leeman

Faculty, Staff and Student Publications

BACKGROUND: Despite the critical need for comprehensive and effective chronic pain care, delivery of such care remains challenging. Group medical visits (GMVs) offer an innovative and efficient model for providing comprehensive care for patients with chronic pain. The purpose of this systematic review was to identify barriers and facilitators (determinants) to implementing GMVs for adult patients with chronic pain.

METHODS: The review included peer-reviewed studies reporting findings on implementation of GMVs for chronic pain, inclusive of all study designs. Pubmed, EMBASE, Web of Science, and Cochrane Library were searched. Studies of individual appointments or group therapy were excluded. The Mixed …

Prediction Of Disease-Free Survival For Precision Medicine Using Cooperative Learning On Multi-Omic Data, Georg Hahn, Dmitry Prokopenko, Julian Hecker, Sharon M Lutz, Kristina Mullin, Leinal Sejour, Winston Hide, Ioannis Vlachos, Stacia Desantis, Rudolph E Tanzi, Christoph Lange

Faculty, Staff and Student Publications

In precision medicine, both predicting the disease susceptibility of an individual and forecasting its disease-free survival are areas of key research. Besides the classical epidemiological predictor variables, data from multiple (omic) platforms are increasingly available. To integrate this wealth of information, we propose new methodology to combine both cooperative learning, a recent approach to leverage the predictive power of several datasets, and polygenic hazard score models. Polygenic hazard score models provide a practitioner with a more differentiated view of the predicted disease-free survival than the one given by merely a point estimate, for instance computed with a polygenic risk score. …

A Microcosting Approach For Planning And Implementing Community-Based Mental Health Prevention Program: What Does It Cost?, Sharmily Roy, Henry Shelton Brown, Lisa Sanger Blinn, Sarah Carter Narendorf, Jane E Hamilton

Faculty, Staff and Student Publications

BACKGROUND: Estimating program costs when planning community-based mental health programs can be burdensome. Our aim was to retrospectively document the cost for the first year of planning and implementing Healthy Minds Healthy Communities (HMHC), a mental health promotion and prevention multi-level intervention initiative. This Program is among the first to use the Community Initiated Care (CIC) model in the US and is aimed at building community resilience and the capacity for communities to provide mental health support, particularly among those disproportionately impacted by COVID-19. Our objective is to share our methods for costing a program targeting 10 zip codes that …

A Microcosting Approach For Planning And Implementing Community-Based Mental Health Prevention Program: What Does It Cost?, Sharmily Roy, Henry Shelton Brown, Lisa Sanger Blinn, Sarah Carter Narendorf, Jane E Hamilton

Faculty, Staff and Student Publications

BACKGROUND: Estimating program costs when planning community-based mental health programs can be burdensome. Our aim was to retrospectively document the cost for the first year of planning and implementing Healthy Minds Healthy Communities (HMHC), a mental health promotion and prevention multi-level intervention initiative. This Program is among the first to use the Community Initiated Care (CIC) model in the US and is aimed at building community resilience and the capacity for communities to provide mental health support, particularly among those disproportionately impacted by COVID-19. Our objective is to share our methods for costing a program targeting 10 zip codes that …

How Financial Beliefs And Behaviors Influence The Financial Health Of Individuals Struggling With Opioid Use Disorder, James R Langabeer, Francine R Vega, Marylou Cardenas-Turanzas, A Sarah Cohen, Karima Lalani, Tiffany Champagne-Langabeer

Faculty, Staff and Student Publications

The surge in opioid use disorder (OUD) over the past decade escalated opioid overdoses to a leading cause of death in the United States. With adverse effects on cognition, risk-taking, and decision-making, OUD may negatively influence financial well-being. This study examined the financial health of individuals diagnosed with OUD by reviewing financial beliefs and financial behaviors. We evaluated quality of life, perceptions of financial condition during active use and recovery, and total debt. We distributed a 20-item survey to 150 individuals in an outpatient treatment program for OUD in a large metropolitan area, yielding a 56% response rate. The results …