Digital Commons Network^™

Post-Dobbs Realities: Ethical Imperatives For Data Transparency And Trust In Maternal Health Care, Faith E Fletcher, Sophie L Schott, Kelley Akhiemokhali, Kari White

Center for Medical Ethics and Health Policy Staff Publications

No abstract provided.

The Role Of Top-Down Appetite Self-Regulation In The Development Of Healthy Eating Behaviors Among Children: A Narrative Review And Socialization Framework, David J Bridgett, Sheryl O Hughes, Matthew Broussard, Daniela Mccourt, Christina M Croce, Jennifer O Fisher

Faculty, Staff and Students Publications

Appetite self-regulation (ASR) among children is thought to have a fundamental role in shaping the development of healthy eating behaviors, dietary intake, and growth during childhood. Parallel to developmental frameworks for understanding "general" self-regulation among children, ASR has been described as involving children's use of "top-down" cognitive processes to moderate "bottom-up" biological drives around food approach and avoidance in the interest of achieving desired eating behaviors or outcomes. Whereas bottom-up ASR processes during early childhood are well characterized, particularly in the context of dysregulation and obesity risk, the role of top-down ASR processes in the development of healthy eating behaviors …

Application Of A Natural Language Processing Algorithm To Early Asthma Ascertainment For Adults In The Era Of Electronic Health Records, Chung-Il Wi, Thanai Pongdee, Hee Yun Seol, Sunghwan Sohn, Elham Sagheb, Bhavani Singh Agnikula Kshatriya, Shauna M Overgaard, Deepak K Sharma, Sungrim Moon, Elizabeth A Krusemark, Dave Watson, Sergio E Chiarella, Miguel A Park, Jason D Greenwood, Randy M Foss, Zhandong Liu, Meera Gupta, Carla M Davis, Wade Schulz, Hongfang Liu, Young J Juhn

Faculty, Staff and Students Publications

Background: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-PAC) was successfully developed and validated for automatically ascertaining pediatric asthma from electronic health record (EHRs) systems. A scalable, efficient, and automated tool for ascertaining adult asthma status from EHRs remains nonexistent.

Objective: We validated NLP-PAC enabling ascertainment and early identification of adult asthma status in their EHRs.

Methods: We applied the validated NLP-PAC to EHRs of a convenient sample (adult cohorts who participated in our previous population-based studies) in which a reference standard (ie, asthma status defined by manual chart review) is available. The performance of NLP-PAC was …

Concurrent Vulvar Vitiligo And Lichen Sclerosus: The Importance Of Melanocyte-Specific Immunostains In Resolving Diagnostic Ambiguity, Nabor S Mireles, Kaitlyn Levett, Annie Dai, Abdul Hafeez Diwan, Omid Jalali

Faculty, Staff and Students Publications

Vitiligo and lichen sclerosus (LS) are autoimmune dermatoses that may share overlapping clinical and histopathologic features, posing diagnostic challenges when they occur concurrently. We report a biopsy-confirmed case of vulvar vitiligo and LS in a 61-year-old woman presenting with pruritic, depigmented patches on the labia majora and minora. Histopathologic examination showed epidermal thinning with papillary dermal hyalinization and a dense, band-like lymphocytic infiltrate consistent with LS. Melan-A immunostaining demonstrated a complete absence of epidermal melanocytes, confirming concurrent vitiligo rather than LS-related post-inflammatory hypopigmentation. This case underscores the importance of correlating subtle clinical clues with melanocyte-specific immunostains to distinguish coexistent vitiligo …

Surgical Repair Of Double-Outlet Right Ventricle With Doubly Committed Juxtaarterial Ventricular Septal Defect: The Role Of Virtual Reality, Fumiya Yoneyama, Jonathan Awori, Shagun Sachdeva, Kaimal A Jayakumar, Javier Brenes, Jeffery S Heinle

Faculty, Staff and Students Publications

Double-outlet right ventricle (DORV) with a doubly committed juxtaarterial ventricular septal defect (VSD) presents significant surgical challenges. We report a neonate with DORV, a hypoplastic aortic arch, and a patent ductus arteriosus. Virtual reality (VR) imaging provided detailed visualization, confirming the VSD's position beneath both great arteries. Intraventricular rerouting was unfeasible given the patient's small systemic structures and tricuspid valve chordae. The patient underwent successful VSD closure through a transarterial approach, arterial switch operation, and arch repair. This case highlights the utility of VR-based planning in optimizing surgical strategy for complex congenital heart defects.

Hes V2.0 Validation And Performance Compared To Galad And Asap In The Heds Cohort, Hashem B El-Serag, Camden Lopez, Michelle Luster, K Rajender Reddy, Neehar Parikh, Amit G Singal, Jorge A Marrero, Aaron P Thrift, Jagpreet Chhatwal, Ziding Feng, Stephanie Page-Lester, Qingchun Jin, Nabihah Tayob, Fasiha Kanwal

Faculty, Staff and Students Publications

Background & aims: We previously developed HES V2.0, a biomarker panel (age, ALT, platelets, etiology, AFP, AFP-L3, DCP, and their 1-year gradients) for early detection of hepatocellular carcinoma (HCC) among patients with cirrhosis. We externally validated HES V2.0 and compared its performance with HES V1.0, GALAD, and ASAP.

Methods: We conducted a PRoBE (prospective specimen-collection, retrospective blinded-evaluation) cohort study in the HEDS (Hepatocellular Carcinoma Early Detection Strategy) cohort of 1,485 patients with cirrhosis, of whom 119 developed HCC. Patient- and test-level true positive rates (TPR) for HCC were calculated at 6, 12, and 24 months before diagnosis, using thresholds at …

Defining The Society Of Pediatric Liver Transplantation (Split) Research Agenda: A Delphi Consensus Project, Sharad I Wadhwani, Pooja Reddy Spector, Amy G Feldman, Katryn N Furuya, Kayla Hartjes, Chaowapong Jarasvaraparn, Beau Kelly, Stacee M Lerret, Krupa Mysore, Arti Pawaria, Philip Rosenthal, Amy Shui, Voytek Slowik, Sarah Taylor, Jennifer Vittorio, Pamela L Valentino

Faculty, Staff and Students Publications

Background: Despite major advances in surgical and medical management, only one-third of pediatric liver transplant (LT) recipients remain morbidity-free at 10 years. The Society of Pediatric Liver Transplantation (SPLIT) published a research agenda over 10 years ago, and much progress has been made since then. An updated consensus-driven SPLIT research agenda could guide future research and funding priorities. We aimed to identify and prioritize key research needs across the continuum of pediatric LT care using a modified Delphi consensus approach.

Methods: We conducted a three-round modified Delphi process among SPLIT members. In round 1, participants submitted open-ended research priorities. In …

Predominant Symptom In Gastroparesis: Relationships To Quality Of Life, Treatments, And Outcome, Henry P Parkman, Laura A Wilson, William L Hasler, Madhusudan Grover, Bruno P Chumpitazi, Helen Burton-Murray, Irene Sarosiek, Baha Moshiree, Geoffrey A Preidis, Robert J Shulman, Laura A Miriel, Dave Shade, Braden Kuo, Richard W Mccallum, Thomas L Abell, Pankaj J Pasricha

Faculty, Staff and Students Publications

Background: Patients with gastroparesis (Gp) can have a variety of symptoms. Apart from use of prokinetics, symptomatic therapies for the predominant symptom (PrS) are used.

Aims: (1) To classify Gp patients based on their PrS; (2) To determine differences in Gp symptoms, gastric emptying (GE), quality of life (QOL), treatments, and symptom improvement among Gp patients with different PrS.

Methods: Gp patients were enrolled in a multicenter registry and followed for 96-weeks. Patients recorded their PrS and completed questionnaires assessing symptoms and QOL at enrollment and at follow up visits.

Results: Of 1013 Gp patients (361 diabetic, 607 idiopathic, 45 …

Relationship Between Heart Rate Variability And Sleep Among Girls And Boys With Abdominal Pain-Related Disorders Of Gut-Brain Interaction, Kendra J Kamp, Robert L Burr, Camden E Matherne, Emily Simonds, Tasha Murphy, Margaret M Heitkemper, Rona L Levy, Robert J Shulman, Miranda A L Van Tilburg

Faculty, Staff and Students Publications

Background: Children with abdominal pain-related disorders of gut-brain interaction (AP-DGBI) often experience sleep disturbances which may be linked to the autonomic nervous system. Heart rate variability (HRV) is a non-invasive measure of autonomic nervous system activity. Our aim was to examine if HRV was associated with characteristics of disturbed sleep in children with AP-DGBI in order to elucidate the underlying physiological mechanisms of disturbed sleep.

Methods: This analysis used baseline data from a randomized control trial of 156 children ages 7-12 years with AP-DGBI. HRV was measured after dinner using a Polar monitor. Sleep disturbances were evaluated using the Children's …

Toward Scientific Rigor: Setting Standards For Indirect Calorimetry Analysis And Reporting, Elizabeth L Lieu, Mark A Herman, Sean M Hartig

Faculty, Staff and Students Publications

Indirect calorimetry determines energy expenditure by measuring respiratory gas exchange. The approach is based on the principle that nutrient metabolism consumes O2 and produces CO2 and water in predictable ratios that can be compared with heat production. Due to the impracticality and high cost of direct calorimetry, indirect calorimetry is the major approach for modern metabolic studies in preclinical models. Despite the broad adoption of this method in rodent phenotyping, the field has lacked standardized methods for analyzing, representing, and sharing these data, limiting scientific progress. The recent review in Nature Metabolism by the International Indirect Calorimetry Consensus Committee (IICCC) …

Comparing Observed With Self-Reported Hand Hygiene Adherence Among Bedside Nurses And Physicians At Two Hospitals In The United States, Prathit A Kulkarni, M Todd Greene, Sanjay Saint, Karen E Fowler, Serene Jacob, Laura Dillon, Michelle Espiritu, Nathan Houchens, Huberta T Cozart, Barbara W Trautner

Faculty, Staff and Students Publications

Background: Hand hygiene is a core component of infection prevention in healthcare settings. One potential reason for lack of adherence to recommended hand hygiene practices is erroneous self-perception. We aimed to compare perceptions about hand hygiene compliance with objective data.

Methods: Direct observations of hand hygiene performance by nurses and physicians during typical workflow in inpatient general medicine wards were conducted from 12 September 2022 to 27 October 2022 at two academic Veterans Affairs medical centers. Participants were surveyed regarding perceptions about their hand hygiene performance relative to recommended practices.

Results: Among nurses, hand hygiene was performed in 1,397/3,690 (37.9%) …

Rounding Styles On Inpatient Infectious Disease Consult Services: Impact On Education And Patient-Care Delivery, Melanie Kiener, Vanessa Ku, Prathit A Kulkarni

Faculty, Staff and Students Publications

Inpatient infectious disease (ID) consult services have recently been experiencing increased patient volumes due to a variety of factors, including higher patient complexity, increased patient turnover, growing rates of antimicrobial resistant infections, population aging, and ID outbreaks. As a result, increased time and resources have been required to continue to deliver high-quality medical care to patients. At academic teaching hospitals, providing patient care in the context of increased volumes must be balanced with the educational mission for trainees. Rounding is a central component of ID clinical work which brings together patient care and education. In this narrative review, we aim …

Distributed Battery-Free Bioelectronic Implants With Improved Network Power Transfer Efficiency Via Magnetoelectrics, Joshua E Woods, Fatima Alrashdan, Ellie C Chen, Wendy Tan, Mathews John, Lukas Jaworski, Drew Bernard, Allison Post, Angel Moctezuma-Ramirez, Abdelmotagaly Elgalad, Alexander G Steele, Sean M Barber, Philip J Horner, Amir H Faraji, Dimitry G Sayenko, Mehdi Razavi, Jacob T Robinson

Faculty, Staff and Students Publications

Networks of miniature implants could enable simultaneous sensing and stimulation at different locations in the body, such as the heart and central or peripheral nervous system. This capability would support precise disease tracking and treatment or enable prosthetic technologies with many degrees of freedom. However, wireless power and data transfer are often inefficient through biological tissues, particularly as the number of implanted devices increases. Here we show that magnetoelectric wireless data and power transfer supports a network of millimetre-sized bioelectronic implants in which system efficiency improves with additional devices. We demonstrate wireless, battery-free networks ranging from one to six implants, …

Validation And Longitudinal Trajectory Analysis Of An Ai-Based Ecg Model For Aortic Stenosis: From Community Screening To Pre-Ta\Vr Risk Stratification, Matthew W Segar, Kaleb D Lambeth, Alexander Postalian, Stephanie Coulter, Jasen Gilge, Naveed Razvi, Mohammad Saeed, Robert D Paisley, Ambarish Pandey, Mehdi Razavi

Faculty, Staff and Students Publications

Aims: Early aortic stenosis (AS) detection remains challenging, with many patients presenting late when left ventricular dysfunction may be irreversible. We evaluated whether longitudinal AI-enhanced ECG patterns can predict outcomes years before intervention and assessed the community screening potential of the AK-AVS model.

Methods and results: We conducted two complementary analyses: (1) community validation of the AK-AVS model in 3632 cardiovascular disease-free ARIC participants, and (2) longitudinal trajectory analysis of 7860 ECGs from 2040 TAVR recipients collected up to 10 years pre-procedure. Unsupervised clustering identified distinct AK-AVS trajectories, with mortality associations assessed using Cox regression and net reclassification improvement. In …

Interpretable Ensemble Machine Learning Prediction Of Nonadherence And The Risk Of Nonpersistence Of Targeted Disease-Modifying Antirheumatic Agents In Older Adults With Rheumatoid Arthritis, Yinan Huang, Sandeep K Agarwal

Faculty, Staff and Students Publications

Purpose: Ensemble machine learning (ML) demonstrated potential for improving predictions based on big health care data. We developed and validated interpretable ensemble ML models in evaluating the nonadherence and nonpersistence of biological or targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) in rheumatoid arthritis (RA).

Methods: This retrospective study used 5% Medicare claims data including older (aged ≥65 years) patients initiating b/tsDMARDs (the index date) between 2013 and 2019, who were diagnosed with RA (the International Classification of Diseases, Ninth and Tenth revision codes). Nonadherence, defined as medication possession ratio < 80%, was evaluated during the 12-month follow-up. Nonpersistence was defined as duration (in days) from the index date until treatment gap ≥60 days during the follow-up period, with death and insurance disenrollment as censoring criteria. Data were split into 75% for model training and 25% for evaluation, with patients' demographics and clinical characteristics measured in the baseline period. Machine learning ensemble classification models (random forest, eXtreme Gradient Boosting [XGBoost], and prediction rule ensembles [PRE]) evaluated the binary nonadherence outcome and ML ensemble survival models (random survival forest, XGBoost survival, and PRE survival) assessed time until nonpersistence. Using the testing cohort, concordance index (C-index) was reported for the ML survival models and AUC was reported for ML classification models.

Findings: We identified 3927 eligible patients with RA (mean age 73 ± …

Comparison Of Opioid Utilization In Older Adults With Rheumatoid Arthritis Before And After Initiating Biological Or Targeted Synthetic Disease-Modifying Antirheumatic Drugs, Yinan Huang, Shadi Bazzazzadehgan, Liang-Yuan Lin, Omkar Ghodke, Sebastian Bruera, Kaustuv Bhattacharya, Sujith Ramachandran, John P Bentley, Sandeep K Agarwal, Yi Yang

Faculty, Staff and Students Publications

Introduction: Opioid use is common in rheumatoid arthritis (RA) for pain management; however, evidence of opioid-associated adverse events is increasing. While biological (b) or targeted synthetic (ts) disease-modifying antirheumatic drugs (DMARDs) improve functional outcomes such as pain, little is known about their impact on opioid utilization patterns. This study investigated opioid utilization before and after b/tsDMARD initiation and assessed effect modification by sex.

Methods: Using 5% Medicare claims data from 2012 to 2020, this cohort study included older adults (≥ 65 years) with RA who initiated b/tsDMARDs (first prescription = index date), and had continuous Medicare Parts A, B, and …

Statistical Methods In Aging Research: Improving Current Practices And Embracing Emerging Approaches, Deependra K Thapa, Erik S Parker, Mounika Kandukuri, Xi Rita Wang, Thirupathi R Mokalla, Olivia C Robertson, Wasiuddin Najam, Andrew E Teschendorff, Andrew W Brown, John R Speakman, Yisheng Peng, Bernard S Gorman, Heping Zhang, Luis-Enrique Becerra-Garcia, Colby J Vorland, David B Allison

Faculty, Staff and Students Publications

Aging research relies on varied statistical methods, and applying these methods appropriately is important for scientific rigor. However, proper use of these statistical techniques is a challenge. We discuss two categories of statistical methods in aging research: (a) emerging methods requiring further validation, including techniques to examine compression of morbidity, maximum lifespan, immortal time bias, molecular aging clocks, and treatment response heterogeneity, and (b) classic and existing methods needing reconsideration and improvement, such as stepwise regression, generalized linear models, methods for accounting for clustering and nesting effects, methods for testing for group differences, methods for mediation …

Risk Factors For Acute Rejection In Pediatric Lung Transplantation And Its Impact On Graft Failure, Sophie Li, Spoorthi Kamepalli, David Moreno Mcneill, Selena Li, Abbas Rana

Faculty, Staff and Students Publications

Background: Although acute rejection is a common complication of lung transplantation, few studies have analyzed risk factors for acute rejection in pediatric lung transplant patients. The purpose of this study was to examine risk and protective factors for acute rejection in pediatric lung transplantation and its impact on graft failure.

Methods: A retrospective analysis was performed on lung transplant data for a cohort of 906 pediatric patients from the Organ Procurement and Transplantation Network (OPTN) Database between October 1, 1987, and June 30, 2023. Multivariable logistic regression was conducted to identify risk and protective factors for acute rejection, adjusting for …

Simulation-Free Spine Palliative Radiotherapy Enabled By Ai-Adapted Diagnostic Ct, Yiding Han, Alexander Nicola Hanania, Zaid Ali Siddiqui, Vincent Ugarte, Boran Zhou, Abdallah S R Mohamed, Piyush Pathak, Daniel Allen Hamstra, Baozhou Sun

Faculty, Staff and Students Publications

Background: Radiotherapy planning traditionally requires a dedicated simulation CT (sCT), which can introduce delays in initiating treatment. This is particularly impactful in spinal palliative care, where timely treatment is often important for symptom control and prevention of neurological deterioration. Although diagnostic CT (dCT) is frequently available earlier in the workflow, it can lead to geometric and dosimetric inaccuracies when used directly for treatment planning due to discrepancies in patient positioning, vertebral alignment, and table curvature.

Purpose: To develop and evaluate an AI-based method that transforms dCT into a simulation-equivalent planning CT (AI-pCT), enabling a clinically feasible simulation-free workflow for spinal …

Pharmacodynamics, Efficacy, And Safety Of Intraputaminal Eladocagene Exuparvovec Administered To Pediatric Patients With Aromatic L-Amino Acid Decarboxylase Deficiency Using An Mr-Compatible Cannula: 48 Weeks Of Follow-Up, Daniel J Curry, Phillip L Pearl, Scellig S D Stone, Donald L Gilbert, Sudhakar Vadivelu, Bruria Ben-Zeev, Matthew Vestal, Muhammad Zafar, Chun-Hwei Tai, Sheng-Che Chou, Zion Zibly, Lior Ungar, Mered Parnes, Mariam Hull, Lisa Emrick, Christian Werner, Alexis Krolick, Vinay Penematsa, Antonia Wang, Rezwanur Rahman, Lee Golden, Yin-Hsiu Chien, Paul Wuh-Liang Hwu

Faculty, Staff and Students Publications

Aromatic ʟ‐amino acid decarboxylase (AADC) deficiency is a rare pediatric neurotransmitter disorder that typically necessitates lifelong care, and that carries a risk of childhood mortality. Eladocagene exuparvovec gene therapy is designed to restore AADC production. Study GT‐002 (NCT04903288) is a phase 2, multicenter, open‐label trial assessing the pharmacodynamics, safety, and efficacy of eladocagene exuparvovec administered to the putamen bilaterally in pediatric patients with AADC deficiency using a magnetic resonance (MR)‐compatible cannula. Patients received eladocagene exuparvovec at 1.8 × 1011 vector genomes via the SmartFlow MR‐compatible cannula in a single operative session. Endpoints include the change from baseline in …

External Validation Of Calculator For Cesarean Delivery During Induction Of Labor, Claudia J Ibarra, Rachel L Wiley, Han-Yang Chen, Estefania Guthrie, Ipsita Ghose, Hector Mendez-Figueroa, Suneet P Chauhan

Faculty, Staff and Students Publications

Objective: To validate a published risk calculator to predict cesarean delivery (CD) among singletons undergoing induction of labor.

Methods: Our retrospective cohort study included singletons undergoing induction of labor. A predicted CD score was calculated for each individual based on a previously developed calculator. External validation of the calculator was assessed by the discriminative power of the model by using the area under the receiver operating characteristic curve, and by a calibration curve. The score was categorized as less than 10%, 10% to less than 30%, and 30% or greater. The primary outcome was CD. The secondary outcomes were a …

Lower Gyrification Of The Ventromedial Prefrontal Cortex In Posttraumatic Stress Disorder: An Enigma-Ptsd Study., Ahmed Hussain, C Lexi Baird, Ashley A Huggins, Courtney C Russell, Delin Sun, Leonel Rangel-Jimenez, Chadi G Abdallah, Michael Angstadt, Geoffrey May, Hannah Berg, Jennifer U Blackford, Josh Cisler, Judith K Daniels, Nicholas D Davenport, Richard J Davidson, Maria Densmore, Seth G Disner, Wissam El-Hage, Amit Etkin, Negar Fani, Jessie L Frijling, Evan M Gordon, Daniel W Grupe, Ryan A Herringa, Julia I Herzog, David Hofmann, Anna R Hudson, Tanja Jovanovic, Anthony King, Saskia B J Koch, Ruth A Lanius, Amit Lazarov, Gen Li, Israel Liberzon, Shmuel Lissek, Guangming Lu, Antje Manthey, Adi Maron-Katz, Katie A Mclaughlin, Sven C Mueller, Laura Nawijn, Steven M Nelson, Yuval Neria, Richard W J Neufeld, Jack B Nitschke, Bunmi O Olatunji, Miranda Olff, Matthew Peverill, Rongfeng Qi, Yann Quidé, Orren Ravid, Ivan Rektor, Kerry J Ressler, Pavel Říha, Marisa Ross, Kelly Sambrook, Christian Schmahl, Anika Sierk, Scott R Sponheim, Jennifer S Stevens, Thomas Straube, Benjamin Suarez-Jimenez, Jean Théberge, Nic J A Van Der Wee, Steven J A Van Der Werff, Sanne J H Van Rooij, Mirjam Van Zuiden, Dick J Veltman, Robert R J M Vermeiren, Henrik Walter, Li Wang, Xi Zhu, Ye Zhu, Sigal Zilcha-Mano, Neda Jahanshad, Paul M Thompson, Rajendra A Morey

Faculty, Staff and Students Publications

Background: Cortical gyrification involves the formation of folds in the cerebral cortex, coinciding with key neurodevelopmental processes. Its strong correlation with increased cortical surface area and decreased cortical thickness may improve cortical signaling efficiency by decreasing cortico-cortical distance. Differences in brain structure have been found in posttraumatic stress disorder (PTSD), yet few small studies have examined cortical gyrification.

Methods: Gyrification was quantified using FreeSurfer's Local Gyrification Index (lGI), derived from 3-dimensional T1-weighted volumetric brain magnetic resonance imaging in 1876 participants (PTSD n = 789, control n = 1087) across 24 sites from the ENIGMA-PGC (Enhancing Neuro Imaging Genetics through Meta-Analysis …

How Does Frailty Impact Peri-Operative And Speech Recognition Outcomes For Cochlear Implants In Veterans?, Kaitlyn A Brooks, Benjamin D Lovin, Alex D Sweeney, Angela S Peng, Nathan R Lindquist

Faculty, Staff and Students Publications

Objective: To investigate the association of frailty with post-cochlear implant (CI) admission, morbidity, and CI-aided word recognition outcomes in veterans.

Study design: Retrospective cohort.

Setting: Single-institution tertiary care Veterans Health Administration (VHA) hospital.

Methods: Veterans who underwent cochlear implantation between 1998 to 2024 were included. The Modified 5-Item Frailty Index (mFI-5) score was used to characterize preoperative frailty. Outcomes of interest were admission from post-anesthesia care unit (PACU), relative risk (RR) of admission among frail patients, and relationship between frailty and post-CI word recognition score (WRS). Ordinal data were analyzed via logistic regression and Chi square tests; a multivariate linear …

Development Of Retrieval-Augmented Generation-Based Large Language Model For Drug-Induced Liver Injury Using Livertox Data, Ashwin Rao, George Cholankeril, Avegail Flores, Gagan Sood, Terrence E White, Fasiha Kanwal, Hashem B El-Serag

Faculty, Staff and Students Publications

Background: Idiosyncratic DILI is a complex clinical challenge requiring timely and accurate decision support. LiverTox, curated by the National Institute of Health (NIH), offers a comprehensive DILI evidence base, but its encyclopedia-like format hinders point-of-care use. Health care providers increasingly use general large language models (LLMs) for clinical care, raising safety concerns due to LLM hallucinations or misinformation. We hypothesize that retrieval-augmented generation (RAG) integration-grounding LLM responses in LiverTox content-would enable accurate DILI decision support.

Methods: We processed 1343 LiverTox drug monographs into 8759 indexed segments using BioBERT embeddings. We developed a RAG pipeline that employs drug-specific prioritization, section-aware weighting, …

Predictive Validity Of The Obsessive-Compulsive Inventory-4 And Florida Obsessive-Compulsive Inventory-Ii Severity Scale, Eric A Storch, Ryan J Mccarty, Maya Zehavi, Mahnoor Ahmad, Vanessa Zavala Cruz, Dayan Berrones, Josselyn S Muñoz, Diana Obando, Servando Rodriguez Barajas, Renee M Frederick, Jacey L Anderberg, Hannah C Moore, Marcos E Ochoa-Panaifo, Mayra C Martinez Mallen, Ogechi C Onyeka, Andrew D Wiese, Melisa N Sagarnaga, Joseph F Mcguire, Ygor Arzeno Ferrão, Latin American Trans-Ancestry Initiative For Ocd Genomics (Latino), Wayne K Goodman, James J Crowley, Brazilian Obsessive-Compulsive Spectrum Disorder Working Group (Gttoc)

Faculty, Staff and Students Publications

Efficient and accurate screening tools are crucial for improving early identification and treatment outcomes among individuals with obsessive-compulsive disorder (OCD). This study evaluated the sensitivity and specificity of two OCD screening measures: the Obsessive-Compulsive Inventory-4 (OCI-4) and the Florida Obsessive-Compulsive Inventory-II (FOCI-II) severity scale. The measures were administered in a large transnational sample of Spanish speaking Latin American adults (N = 1696) with elevated obsessive-compulsive symptomatology. Participants completed diagnostic interviews (MINI and Y-BOCS) and self-report assessments across 23 sites in 11 countries. Both measures significantly distinguished OCD from non-OCD cases, with the FOCI-II demonstrating somewhat better predictive performance (AUC = …

The Diagnostic Performance Of The Basic Versus The Detailed Telomere Flow Fish Test In Young Patients With Aplastic Anaemia, Nicholas F Decleene, Duc T Nguyen, Susan E Kirk, Hannah L Helber, Ghadir S Sasa, Alison A Bertuch

Faculty, Staff and Students Publications

Identifying telomere biology disorders (TBDs) in patients with aplastic anaemia (AA) is essential for guiding appropriate care. Telomere length (TL) measurement by flow cytometry with fluorescence in situ hybridization supports diagnosis, but the real-world performance of the basic test (lymphocytes and granulocytes) versus the detailed test (which includes four lymphocyte subsets) remains unclear. We retrospectively reviewed 439 patients who underwent detailed TL testing at our institution from 2008 to 2022. Haematological disease was present in 87%, with AA comprising 56%. We classified 23 subjects with TBD independently of TL, only one of whom had severe AA (SAA) at initial presentation. …

Lonp1 Variants Are Associated With Clinically Diverse Phenotypes, Randee E Young, Lu Qiao, Rebecca Hernan, David A Sweetser, Jessica L Waxler, Daryl A Scott, Tiana M Scott, Seema R Lalani, Mahshid S Azamian, Jill A Rosenfeld, Bret Bostwick, Lindsay C Burrage, Lance H Rodan, Bianca E Russell, Marina Dutra-Clarke, Michael Kruer, Somayeh Bakhtiarim, Hossein Darvish, David J Amor, Shamima Rahman, Karen Stals, Lisa Bradley, Susan Byrne, Leandra K Tolusso, Beatrix Wong, Laura Benedict, Kimberly Wallis, Kestutis Micke, Cindy Colson, Thomas Smol, Sabrina V Southwick, Kristen A Miller, Michelle L Kush, Odelia Chorin, Annick Rothschild, Wei Wang, Yufeng Shen, Wendy K Chung

Faculty, Staff and Students Publications

LONP1 encodes a mitochondrial protease essential for protein quality control and metabolism. Variants in LONP1 are associated with a diverse and expanding spectrum of disorders, including Cerebral, Ocular, Dental, Auricular, and Skeletal anomalies syndrome (CODAS), congenital diaphragmatic hernia (CDH), and neurodevelopmental disorders (NDD), with some individuals exhibiting features of mitochondrial encephalopathy. We report 16 novel LONP1 variants identified in 16 individuals (11 with NDD, 5 with CDH), further expanding the clinical spectrum. Structural mapping of disease-associated missense variants revealed phenotype-specific clustering, with CODAS variants enriched in the proteolytic chamber and NDD variants more broadly distributed. CODAS is caused by biallelic …

Comparison Of Variant Callers Using 60 532 Multi-Ancestry Whole Genome Sequences, Hufeng Zhou, Zilin Li, Derek Shyr, Xihao Li, Haoyu Yang, Rounak Dey, Yushi Tang, Robert Maier, Eric Boerwinkle, Steve Buyske, Mark Daly, Adam Felsenfeld, Richard A Gibbs, Namrata Gupta, Ira M Hall, Tara Matise, Ginger A Metcalf, Albert Smith, Catherine Reeves, Heidi J Sofia, Nathan O Stitziel, Michael C Zody, Nhgri Genome Sequencing Program (Gsp) Consortium, Benjamin Neale, Xihong Lin

Faculty, Staff and Students Publications

Whole genome sequencing (WGS) studies play a pivotal role in studying the genetic underpinnings of human diseases and traits. High quality and reproducible variant calling is the cornerstone for the success of downstream analyses, including WGS association studies and polygenic risk prediction. This paper compares the data quality, performance, and concordance of two widely used WGS variant callers, the Genome Analysis Toolkit (GATK) and Variant Tool set that discovers short variants (VT), using 60 532 multi-ancestry whole genomes sequenced by the Centers for Common Disease Genomics (CCDGs) of the NHGRI Genome Sequencing Program. Our findings show that both QCed GATK …

Segmental And Multifocal Isolated Dystonias: Similarities And Differences, Hyder A Jinnah, Vittorio Velucci, Daniele Belvisi, Gamze Kilic-Berkmen, Joel S Perlmutter, Laura J Wright, Christine Klein, Jeanne S Feuerstein, Steven Bellows, Joseph Jankovic, Cynthia Comella, Richard L Barbano, Aparna Wagle Shukla, Stephen G Reich, Mark S Ledoux, Alberto J Espay, Kevin R Duque, Florence C F Chang, Victor S C Fung, Sarah Pirio-Richardson, Carmen Terranova, Emile S Moukheiber, Sarah Idrissi, Barbara Vitucci, Susan H Fox, Samuel Frank, Natividad Stover, Brian D Berman, Rachel Saunders-Pullman, William G Ondo, Christopher L Groth, Marcello Esposito, Laura Avanzino, Francesco Bono, Roberto Erro, Marcello Mario Mascia, Antonella Muroni, Alfredo Berardelli, Giovanni Defazio

Faculty, Staff and Students Publications

Background: Whether the traditional distinction between segmental and multifocal dystonia is clinically or scientifically useful remains unclear.

Objective: To evaluate whether idiopathic isolated adult-onset segmental and multifocal dystonia can be differentiated based on clinical features other than the contiguity of affected body regions.

Methods: We compared data on segmental and multifocal dystonia from two large dystonia databases established in the USA and Italy that used similar criteria for patient recruitment and assessment.

Results: Compared to segmental dystonia, multifocal dystonia was characterized by a higher proportion of men, a younger age at dystonia onset, a greater frequency of upper limb dystonia, …

Impulsivity In Cerebellar Ataxia: An Online, Multidimensional Assessment, Brooke Chasalow, Yakov Flaumenhaft, Yael De Picciotto, Chi-Ying R Lin, Leila Montaser-Kouhsari, William Saban

Faculty, Staff and Students Publications

While considered a motor control structure, the cerebellum contributes to non-motor functions, including impulsivity. However, whether it contributes to impulsivity in a domain-specific manner remains unknown. Studies on cerebellar ataxia (CA), a common model for cerebellar dysfunction, typically have small sample sizes, limiting robustness. In a multicenter cross-sectional study, we investigated the cerebellum's role in various forms of impulsivity by comparing large cohorts of CA to age- and education-matched neurotypical healthy (NH) controls. Additionally, to examine the ability to identify individuals with CA using impulsivity features alone, we developed supervised machine learning (ML) models. In experiment 1 (CA = 140, …