Digital Commons Network^™

Normative Variability In Retinal Nerve Fiber Layer Thickness: Does It Matter Where The Peaks Are?, Sowjanya Gowrisankaran, Ashkan Abbasi, Xubo Song, Joel Schuman, Gadi Wollstein, Bhavna Antony, Hiroshi Ishikawa

Wills Eye Hospital Papers

PURPOSE: Retinal nerve fiber layer thickness (RNFLT), a glaucoma biomarker, has a wide normative range affecting its sensitivity and specificity for abnormality detection. The interindividual RNFLT peak location variability contribution to this wide normative range has not been directly evaluated. The purpose of this study is to assess the effect of RNFLT peak normalization (PN) on normative variability.

METHODS: Circumpapillary RNFLT profiles at 1.7 mm radius from the optic nerve head (ONH) were re-sampled from optical coherence tomography (OCT) volumes (Cirrus HD-OCT, 200 × 200) obtained from one eye of 83 healthy individuals. Fovea-ONH axis (FOA) was calculated from corresponding …

Author Correction: Predictive Equation Derived From 6,497 Doubly Labelled Water Measurements Enables The Detection Of Erroneous Self-Reported Energy Intake, Rania Bajunaid, Chaoqun Niu, Catherine Hambly, Zongfang Liu, Yosuke Yamada, Heliodoro Aleman-Mateo, Liam J Anderson, Lenore Arab, Issad Baddou, Linda Bandini, Kweku Bedu-Addo, Ellen E Blaak, Carlijn V C Bouten, Soren Brage, Maciej S Buchowski, Nancy F Butte, Stefan G J A Camps, Regina Casper, Graeme L Close, Jamie A Cooper, Richard Cooper, Sai Krupa Das, Peter S W Davies, Prasangi Dabare, Lara R Dugas, Simon Eaton, Ulf Ekelund, Sonja Entringer, Terrence Forrester, Barry W Fudge, Melanie Gillingham, Annelies H Goris, Michael Gurven, Asmaa El Hamdouchi, Hinke H Haisma, Daniel Hoffman, Marije B Hoos, Sumei Hu, Noorjehan Joonas, Annemiek M Joosen, Peter Katzmarzyk, Misaka Kimura, William E Kraus, Wantanee Kriengsinyos, Rebecca Kuriyan, Robert F Kushner, Estelle V Lambert, Pulani Lanerolle, Christel L Larsson, William R Leonard, Nader Lessan, Marie Löf, Corby K Martin, Eric Matsiko, Anine C Medin, James C Morehen, James P Morton, Aviva Must, Marian L Neuhouser, Theresa A Nicklas, Christine D Nyström, Robert M Ojiambo, Kirsi H Pietiläinen, Yannis P Pitsiladis, Jacob Plange-Rhule, Guy Plasqui, Ross L Prentice, Susan B Racette, David A Raichlen, Eric Ravussin, Leanne M Redman, John J Reilly, Rebecca Reynolds, Susan B Roberts, Dulani Samaranayakem, Luis B Sardinha, Analiza M Silva, Anders M Sjödin, Marina Stamatiou, Eric Stice, Samuel S Urlacher, Ludo M Van Etten, Edgar G A H Van Mil, George Wilson, Jack A Yanovski, Tsukasa Yoshida, Xueying Zhang, Alexia J Murphy-Alford, Srishti Sinha, Cornelia U Loechl, Amy H Luke, Herman Pontzer, Jennifer Rood, Hiroyuki Sagayama, Dale A Schoeller, Klaas R Westerterp, William W Wong, John R Speakman

Children’s Nutrition Research Center Staff Publications

No abstract provided.

Differences In Blood Leukocyte Subpopulations In Schizophrenia: A Systematic Review And Meta-Analysis, Leon Dudeck, Madeleine Nussbaumer, Thomas Nickl-Jockschat, Paul C Guest, Henrik Dobrowolny, Gabriela Meyer-Lotz, Zhongming Zhao, Roland Jacobs, Kolja Schiltz, Brisa S Fernandes, Johann Steiner

Faculty, Staff and Student Publications

Importance: This study aims to provide robust evidence to support or challenge the immune hypothesis of schizophrenia.

Objective: To conduct a meta-analysis of reports on blood leukocyte subpopulations in schizophrenia vs healthy controls, examining disease- and treatment-related differences as well as potential confounders.

Data sources: Systematic database search for English and non-English peer-reviewed articles in PubMed, Web of Science, Scopus, and Cochrane Library databases, with the last search in January 2024.

Study selection: Cross-sectional, case-control, and longitudinal studies comparing leukocyte numbers in patients with schizophrenia and healthy controls. After duplicates were removed, 3691 studies were identified for screening.

Data extraction …

Phase Ii Trial Of Atezolizumab And Bevacizumab For Treatment Of Hpv-Positive Unresectable Or Metastatic Squamous Cell Carcinoma Of The Anal Canal, Van K Morris, Suyu Liu, Kangyu Lin, Haifeng Zhu, Seema Prasad, Armeen Mahvash, Priya Bhosale, Baohua Sun, Edwin R Parra, Ignacio Wistuba, Arjun Peddireddy, James Yao, Julia Mendoza-Perez, Mark Knafl, Scott E Woodman, Cathy Eng, Daniel Halperin

Faculty, Staff and Student Publications

Purpose: Anti-PD-L1 antibodies are associated with responses in < 25% of patients with metastatic human papillomavirus-associated malignancies. VEGF signaling causes immune evasion and immune suppression within the tumor. We evaluated the anti-PD-L1 antibody atezolizumab and anti-VEGF antibody bevacizumab for patients with unresectable, advanced anal cancer.

Patients and methods: For this phase II study, participants with previously treated, immunotherapy-naïve anal cancer received atezolizumab (1,200 mg) and bevacizumab (15 mg/kg) intravenously every 21 days. Responses were evaluated every 9 weeks (RECIST version 1.1). The primary endpoint was the best radiographic response. Median survival was estimated by Kaplan-Meier and compared for selected biomarkers (including paired pre- and on-treatment biopsies) using a log-rank test.

Results: Among 20 participants, the overall response rate was 11% [95% confidence interval (CI): 1.2-32]. Median progression-free survival and overall survival were 4.1 months (95% CI, 2.6-not …

Impact Of Comorbidities On The Mortality Benefits Of Lung Cancer Screening: A Post-Hoc Analysis Of The Plco And Nlst Trials, Sebastien Gendarme, Ehsan Irajizad, James P Long, Johannes F Fahrmann, Jennifer B Dennison, Seyyed Mahmood Ghasemi, Rongzhang Dou, Robert J Volk, Rafael Meza, Iakovos Toumazis, Florence Canoui-Poitrine, Samir M Hanash, Edwin J Ostrin

Faculty, Staff and Student Publications

Objectives: To evaluate how comorbidities affect mortality benefits of lung cancer screening (LCS) with low-dose computed tomography.

Methods: We developed a comorbidity index (Prostate, Lung, Colorectal, and Ovarian comorbidity index [PLCO-ci]) using LCS-eligible participants' data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) trial (training set) and the National Lung Screening Trial (NLST) (validation set). PLCO-ci predicts five-year non-lung cancer (LC) mortality using a regularized Cox model; with performance evaluated using the area under the receiver operating characteristics curve. In NLST, LC mortality (per original publication) was compared between low-dose computed tomography and chest radiograph arms across the PLCO-ci quintile …

Comic: A Bayesian Dose Optimization Design For Drug Combination In Multiple Indications With Application To Car-T Therapies, Kai Chen, Kentaro Takeda, Ying Yuan

Faculty, Staff and Student Publications

Project Optimus, initiated by the US Food and Drug Administration (FDA), seeks to shift the focus of dose finding and selection from the maximum tolerated dose to the optimal dose that offers the most favorable risk-benefit balance. However, applying this paradigm shift to drug combination trials presents challenges, particularly due to limited sample sizes and a large two-dimensional dose exploration space. These challenges are amplified when trials involve multiple indications. To address this, we developed a two-stage Bayesian dose optimization design, called COMIC (Combination Optimization in Multiple IndiCations), to efficiently identify Optimal Biological Dose Combinations (OBDC) for multiple indications. The …

Oral Microbiome Profile Of The Us Population, Anil K Chaturvedi, Emily Vogtmann, Jianxin Shi, Yukiko Yano, Martin J Blaser, Nicholas A Bokulich, J Gregory Caporaso, Maura L Gillison, Barry I Graubard, Xing Hua, Autumn G Hullings, Lisa Kahle, Rob Knight, Shilan Li, Jody Mclean, Vaishnavi Purandare, Yunhu Wan, Neal D Freedman, Christian C Abnet

Faculty, Staff and Student Publications

Importance: The oral microbiome likely plays key roles in human health. Yet, population-representative characterizations are lacking.

Objective: To characterize the composition, diversity, and correlates of the oral microbiome in US adults.

Design, setting, and participants: This cross-sectional study analyzed data from the population-representative National Health and Nutrition Examination Survey (NHANES) from 2009 to 2012. Microbiome data were made publicly available in 2024. NHANES participants were aged 18 to 69 years and provided oral rinse samples in 1 of 2 consecutive NHANES cycles (2009-2010 and 2011-2012).

Exposures: Demographic, socioeconomic, behavioral, anthropometric, metabolic, and clinical characteristics.

Main outcomes and measures: Oral microbiome …

Defining The Optimal Radiation-Induced Lymphopenia Metric To Discern Its Survival Impact In Esophageal Cancer, Pim J J Damen, Max Peters, Brian Hobbs, Yiqing Chen, Uwe Titt, Remi Nout, Radhe Mohan, Steven H Lin, Peter S N Van Rossum

Faculty, Staff and Student Publications

Purpose: A detrimental association between radiation-induced lymphopenia (RIL) and oncologic outcomes in patients with esophageal cancer has been established. However, an optimal metric for RIL remains undefined but is important for the application of this knowledge in clinical decision-making and trial designs. The aim of this study was to find the optimal RIL metric discerning survival.

Methods and materials: Patients with esophageal cancer treated with concurrent chemoradiation therapy (CRT; 2004-2022) were selected. Studied metrics included absolute lymphocyte counts (ALCs) and neutrophil counts-and calculated derivatives-at baseline and during CRT. Multivariable Cox regression models for progression-free survival (PFS) and overall survival (OS) …

The Multilayered Transcriptional Architecture Of Glioblastoma Ecosystems, Masashi Nomura, Avishay Spitzer, Kevin C Johnson, Luciano Garofano, Djamel Nehar-Belaid, Noam Galili Darnell, Alissa C Greenwald, Lillian Bussema, Young Taek Oh, Frederick S Varn, Fulvio D'Angelo, Simon Gritsch, Kevin J Anderson, Simona Migliozzi, L Nicolas Gonzalez Castro, Tamrin Chowdhfury, Nicolas Robine, Catherine Reeves, Jong Bae Park, Anuja Lipsa, Frank Hertel, Anna Golebiewska, Simone P Niclou, Labeeba Nusrat, Sorcha Kellet, Sunit Das, Hyo Eun Moon, Sun Ha Paek, Franck Bielle, Alice Laurenge, Anna Luisa Di Stefano, Bertrand Mathon, Alberto Picca, Marc Sanson, Shota Tanaka, Nobuhito Saito, David M Ashley, Stephen T Keir, Keith L Ligon, Jason T Huse, W K Alfred Yung, Anna Lasorella, Roel G W Verhaak, Antonio Iavarone, Mario L Suvà, Itay Tirosh

Faculty, Staff and Student Publications

In isocitrate dehydrogenase wildtype glioblastoma (GBM), cellular heterogeneity across and within tumors may drive therapeutic resistance. Here we analyzed 121 primary and recurrent GBM samples from 59 patients using single-nucleus RNA sequencing and bulk tumor DNA sequencing to characterize GBM transcriptional heterogeneity. First, GBMs can be classified by their broad cellular composition, encompassing malignant and nonmalignant cell types. Second, in each cell type we describe the diversity of cellular states and their pathway activation, particularly an expanded set of malignant cell states, including glial progenitor cell-like, neuronal-like and cilia-like. Third, the remaining variation between GBMs highlights three baseline gene expression …

Todo: A Triple-Outcome Double-Criterion Optimal Design For Dose Monitoring-And-Optimization In Multi-Dose Randomized Trials, Jingyi Zhang, Heng Zhou, Nolan A Wages, Zifang Guo, Fang Liu, Thomas Jemielita, Fangrong Yan, Ruitao Lin

Faculty, Staff and Student Publications

Detecting the efficacy signal and determining the optimal dose are critical steps to increase the probability of success and expedite the drug development in cancer treatment. After identifying a safe dose range through phase I studies, conducting a multidose randomized trial becomes an effective approach to achieve this objective. However, there have been limited formal statistical designs for such multidose trials, and dose selection in practice is often ad hoc, relying on descriptive statistics. We propose a Bayesian optimal two-stage design to facilitate rigorous dose monitoring and optimization. Utilizing a flexible Bayesian dynamic linear model for the dose-response relationship, we …

Igtp: Learning Interpretable Cellular Embedding For Inferring Biological Mechanisms Underlying Single-Cell Transcriptomics, Kang-Lin Hsieh, Kai Zhang, Yan Chu, Lishan Yu, Xiaoyang Li, Nuo Hu, Isha Kawosa, Patrick G Pilié, Pratip K Bhattacharya, Degui Zhi, Xiaoqian Jiang, Zhongming Zhao, Yulin Dai

Faculty, Staff and Student Publications

Deep-learning models like Variational AutoEncoder have enabled low dimensional cellular embedding representation for large-scale single-cell transcriptomes and shown great flexibility in downstream tasks. However, biologically meaningful latent space is usually missing if no specific structure is designed. Here, we engineered a novel interpretable generative transcriptional program (iGTP) framework that could model the importance of transcriptional program (TP) space and protein-protein interactions (PPI) between different biological states. We demonstrated the performance of iGTP in a diverse biological context using gene ontology, canonical pathway, and different PPI curation. iGTP not only elucidated the ground truth of cellular responses but also surpassed other …

Glim Consensus Approach To Diagnosis Of Malnutrition: A 5-Year Update., Gordon L Jensen, Tommy Cederholm, M Isabel T D Correia, M Cristina Gonzalez, Ryoji Fukushima, Veeradej Pisprasert, Renee Blaauw, Diana Cardenas Braz, Fernando Carrasco, Alfonso J Cruz Jentoft, Cristina Cuerda, David C Evans, Vanessa Fuchs-Tarlovsky, Leah Gramlich, Han Ping Shi, Jeanette M Hasse, Michael Hiesmayr, Naoki Hiki, Harriët Jager-Wittenaar, Shukri Jahit, Anayanet Jáquez, Heather Keller, Stanislaw Klek, Ainsley Malone, Kris M Mogensen, Naoharu Mori, Manpreet Mundi, Maurizio Muscaritoli, Doris Ng, Ibolya Nyulasi, Matthias Pirlich, Stephane Schneider, Marian De Van Der Schueren, Soranit Siltharm, Pierre Singer, Alison Steiber, Kelly A Tappenden, Jianchun Yu, André Van Gossum, Jaw-Yuan Wang, Marion F Winkler, Charlene Compher, Rocco Barazzoni

Ambulatory and Primary Care Articles

BACKGROUND: The Global Leadership Initiative on Malnutrition (GLIM) introduced an approach for malnutrition diagnosis in 2019 that comprised screening followed by assessment of three phenotypic criteria (weight loss, low body mass index [BMI], and low muscle mass) and two etiologic criteria (reduced food intake/assimilation and inflammation/disease burden). This planned update reconsiders the GLIM framework based on published knowledge and experience over the past 5 years.

METHODS: A working group (n = 43 members) conducted a literature search spanning 2019-2024 using the keywords "Global Leadership Initiative on Malnutrition or GLIM." Prior GLIM guidance activities for using the criteria on muscle mass …

Longevity Humans Have Youthful Erythrocyte Function And Metabolic Signatures, Fang Yu, Changhan Chen, Wuping Liu, Zhixiang Zhao, Yuhua Fan, Zhenjiang Li, Weilun Huang, Tingting Xie, Cheng Luo, Zhouzhou Yao, Qi Guo, Zhiyu Yang, Juan Liu, Yujin Zhang, Rodney E Kellems, Jian Xia, Ji Li, Yang Xia

Faculty, Staff and Student Publications

Longevity individuals have lower susceptibility to chronic hypoxia, inflammation, oxidative stress, and aging-related diseases. It has long been speculated that "rejuvenation molecules" exist in their blood to promote extended lifespan. We unexpectedly discovered that longevity individuals exhibit erythrocyte oxygen release function similar to young individuals, whereas most elderly show reduced oxygen release capacity. Untargeted erythrocyte metabolomics profiling revealed that longevity individuals are characterized by youth-like metabolic reprogramming and these metabolites effectively differentiate the longevity from the elderly. Quantification analyses led us to identify multiple novel longevity-related metabolites within erythrocytes including adenosine, sphingosine-1-phosphate (S1P), and glutathione (GSH) related amino acids. Mechanistically, …

Targeting Discrepancies In Linear Growth Measurements In The Neonatal Intensive Care Unit Through Nursing Interventions: A Quality Improvement Initiative, Gail Snyder, Rebekah Wilkinson, Raina Evans, Meagan Owen, Akram Yazdani, Covi Tibe, Catherine Perez, Lindsay F Holzapfel

Faculty, Staff and Student Publications

Objective: Accurate length measurements are essential for infants to identify growth deficiencies and adjust nutrition accordingly. The gold standard for length measurement in infants is using a length board with two people to obtain an accurate clinical assessment. We aimed to improve the number of measurements with the desired minimal difference, defined as a discrepancy ≤1 cm between nurse and audit measurements, in our center. Our secondary aim was to increase and maintain the number of length boards available.

Methods: This quality improvement (QI) study used a before-and-after intervention comparison design in a single-level IV neonatal intensive care unit between …

Multiparametric Mri Scoring System Of The Pancreas For The Diagnosis Of Chronic Pancreatitis, Temel Tirkes, Dhiraj Yadav, Darwin L Conwell, Xuandong Zhao, Anil K Dasyam, Vivek Gowdra Halappa, Aashish Patel, Zarine K Shah, Jordan Swensson, Naoki Takahashi, Sudhakar Venkatesh, Ashley Wachsman, Liang Li, Kristofer Jennings, Yunlong Yang, Phil A Hart, Stephen J Pandol, Walter G Park, Santhi Swaroop Vege, Mark Topazian, Paul R Territo, Scott A Persohn, Dana K Andersen, Evan L Fogel, Consortium For The Study Of Chronic Pancreatitis, Diabetes, And Pancreatic Cancer (Cpdpc)

Faculty, Staff and Student Publications

Background: Ductal features alone may not offer high diagnostic sensitivity or most accurate disease severity of chronic pancreatitis (CP).

Purpose: Diagnose CP based on multiparametric MRI and MRCP features.

Study type: Prospective.

Population: Between February 2019 and May 2021, 46 control (23 males, 49.3 ± 14.1 years), 45 suspected (20 males, 48.7 ± 12.5 years), and 46 definite (20 males, 53.7 ± 14.6 years) CP patients were enrolled at seven hospitals enrolled in the MINIMAP study. CP classification was based on imaging findings and clinical presentation.

Field strength and sequences: 1.5 T. T1-weighted (T1W) spoiled gradient echo, T1 map with …

Imaging In Pelvic Exenteration-A Multidisciplinary Practice Guide From The Esgar-Sar-Esur-Pelvex Collaborative Group, Stephanie Nougaret, Doenja M J Lambregts, Geerard L Beets, Regina G H Beets-Tan, Lennart Blomqvist, David Burling, Quentin Denost, Maria A Gambacorta, Benedetta Gui, Ann Klopp, Yulia Lakhman, Kate E Maturen, Riccardo Manfredi, Iva Petkovska, Luca Russo, Atul B Shinagare, James A Stephenson, Damian Tolan, Aradhana M Venkatesan, Aaron J Quyn, Rosemarie Forstner

Faculty, Staff and Student Publications

Pelvic exenteration (PE) is a radical surgical approach designed for the curative treatment of advanced pelvic malignancies, requiring en-bloc resection of multiple pelvic organs. While the procedure is radical, it has shown promise in enhancing long-term survival and is now comparable in surgical mortality to elective resections for primary pelvic cancers. Imaging plays a crucial role in preoperative planning, with MRI, CT, and PET/CT being pivotal in assessing the extent of cancer and formulating a surgical roadmap. This paper presents clinical practice guidelines for imaging in the context of PE, developed jointly by ESGAR, SAR, ESUR, and the PelvEx Collaborative. …

Quantitative Ablation Confirmation Methods In Percutaneous Thermal Ablation Of Malignant Liver Tumors: Technical Insights, Clinical Evidence, And Future Outlook, Iwan Paolucci, Jessica Albuquerque Marques Silva, Yuan-Mao Lin, Alexander Shieh, Anna Maria Ierardi, Gianpaolo Caraffiello, Carlo Gazzera, Kyle A Jones, Paolo Fonio, Reto Bale, Kristy K Brock, Marco Calandri, Bruno C Odisio

Faculty, Staff and Student Publications

Percutaneous image-guided thermal ablation is an established local curative-intent treatment technique for the treatment of primary and secondary malignant liver tumors. Whereas margin assessment after surgical resection can be accomplished with microscopic examination of the resected specimen, margin assessment after percutaneous thermal ablation relies on cross-sectional imaging. The critical measure of technical success is the minimal ablative margin (MAM), defined as the minimum distance between the tumor and the edge of the ablation zone. Traditionally, the MAM has been assessed qualitatively using anatomic landmarks, which has suboptimal accuracy and reproducibility and is prone to operator bias. Consequently, specialized software-based methods …

Elevated P16ink4a Expression Enhances Tau Phosphorylation In Neurons Differentiated From Human-Induced Pluripotent Stem Cells, Kristopher Holloway, Kashfia Neherin, Yingduo Song, Kazuhito Sato, Andrew Houston, Feng Chen, Li Ding, Hong Zhang

2020-Current year OA Pubs

Increased expression of the cyclin-dependent kinase inhibitor p16Ink4a (p16) is detected in neurons of human Alzheimer's disease (AD) brains and during normal aging. Importantly, selective eliminating p16-expressing cells in AD mouse models attenuates tau pathologies and improves cognition. But whether and how p16 contributes to AD pathogenesis remains unclear. To address this question, we tested whether induction of p16 expression in neurons exacerbates AD pathologies. We created a doxycycline-inducible system to trigger p16 up-regulation in human-induced pluripotent stem cells (iPSCs) and neurons differentiated from iPSCs. We demonstrated that up-regulated p16 expression in iPSCs reduces cell proliferation, down-regulates cell cycle genes, …

Interventions To Improve Timely Cancer Diagnosis: An Integrative Review, Mark L Graber, Bradford D Winters, Roni Matin, Rosann T Cholankeril, Daniel R Murphy, Hardeep Singh, Andrea Bradford

Faculty, Staff and Students Publications

Cancer will affect more than one in three U.S. residents in their lifetime, and although the diagnosis will be made efficiently in most of these cases, roughly one in five patients will experience a delayed or missed diagnosis. In this integrative review, we focus on missed opportunities in the diagnosis of breast, lung, and colorectal cancer in the ambulatory care environment. From a review of 493 publications, we summarize the current evidence regarding the contributing factors to missed or delayed cancer diagnosis in ambulatory care, as well as evidence to support possible strategies for intervention. Cancer diagnoses are made after …

Spaceflight Associated Neuro-Ocular Syndrome (Sans) And Its Countermeasures, Tuan Nguyen, Joshua Ong, Tyson Brunstetter, C Robert Gibson, Brandon R Macias, Steven Laurie, Thomas Mader, Alan Hargens, Jay C Buckey, Mimi Lan, Peter Wostyn, Cihan Kadipasaoglu, Scott M Smith, Sara R Zwart, Benjamin J Frankfort, Sarah Aman, Jessica M Scott, Ethan Waisberg, Mouayad Masalkhi, Andrew G Lee

Faculty, Staff and Students Publications

Astronauts can develop a distinct collection of neuro-ophthalmic findings during long duration spaceflight, collectively known as Spaceflight Associated Neuro-ocular Syndrome (SANS). These clinical characteristics include optic disc edema, hyperopic refractive shifts, globe flattening, and chorioretinal folds, which may pose a health risk for future space exploration. Obtaining knowledge of SANS and countermeasures for its prevention is crucial for upcoming crewed space missions and warrants a multidisciplinary approach. This review examines the potential causes and countermeasures of SANS, including space anticipation glasses, lower body negative pressure, venoconstrictive thigh cuffs, impedance threshold devices, translaminar pressure gradient modulation, centrifugation, artificial gravity, pharmaceuticals, and …

Pediatric Predictive Artificial Intelligence Implemented In Clinical Practice From 2010 To 2021: A Systematic Review, Swaminathan Kandaswamy, Lindsey A Knake, Adam C Dziorny, Sean M Hernandez, Allison B Mccoy, Lauren M Hess, Evan Orenstein, Mia S White, Eric S Kirkendall, Matthew J Molloy, Philip A Hagedorn, Naveen Muthu, Avinash Murugan, Jonathan M Beus, Mark Mai, Brooke Luo, Juan D Chaparro

Faculty, Staff and Students Publications

To review pediatric artificial intelligence (AI) implementation studies from 2010 to 2021 and analyze reported performance measures.We searched PubMed/Medline, Embase CINHAL, Cochrane Library CENTRAL, IEEE, and Web of Science with controlled vocabulary. Inclusion criteria: AI intervention in a pediatric clinical setting that learns from data (i.e., data-driven, as opposed to rule-based) and takes actions to make patient-specific recommendations; published between 01/2010 and 10/2021; must have agency (AI must provide guidance that affects clinical care, not merely running in the background). We extracted study characteristics, target users, implementation setting, time span, and performance measures.Of 126 articles reviewed as full text, 17 …

Misconceptions Among Mental Health Treatment Providers About Ocd And Ptsd, Caitlin M Pinciotti, Gabriella T Ponzini, Gianna M Colombo, Carmen P Mclean, Terri L Fletcher, Natalie E Hundt, Lauren P Wadsworth, Nathaniel Van Kirk, Stephanie Y Wells, Jonathan S Abramowitz, Wayne K Goodman, Eric A Storch

Faculty, Staff and Students Publications

Obsessive-compulsive disorder (OCD) and posttraumatic stress disorder (PTSD) share overlapping features for which similar cognitive behavioral treatment (CBT) strategies can be employed. However, the comorbid presence of these conditions poses unique clinical considerations, and a nuanced approach to assessment, conceptualization, and treatment is needed when working with individuals with co-occurring OCD and PTSD. Treatment providers may not be aware of these nuances and may hold misconceptions about co-occurring OCD and PTSD, impacting their approach to assessment, conceptualization, and treatment. The current study sought to examine possible misconceptions among mental health treatment providers of differing specializations. Among 146 primarily CBT-oriented treatment …

Optimal Delay Time To Initiate Anticoagulation After Ischemic Stroke In Atrial Fibrillation: A Pragmatic, Response-Adaptive Randomized Clinical Trial, Steven J Warach, Lisa A Davis, Patrick Lawrence, Byron Gajewski, Jo Wick, Fred Shi, Ty T Shang, Daiwai M Olson, Sidarrth Prasad, Lee Birnbaum, Jody M Richardson, Sean I Savitz, Mark P Goldberg, Salvador Cruz-Flores, Israel Alba, Jane Anderson, Barbara Kimmel, Chethan P Venkatasubba Rao, Ben King, Adrienne N Dula, Truman J Milling

Faculty, Staff and Students Publications

Importance: Clinical practice guidelines recommend initiation of anticoagulation within 2 weeks after stroke with atrial fibrillation. It is unknown whether there is an optimal starting day within the 14-day period that balances the risks of recurrent embolic events against serious hemorrhagic events.

Objective: To determine if there is an optimal delay time to initiate treatment with a direct oral anticoagulant after atrial fibrillation-related stroke that minimizes the risk of a composite outcome of ischemic or hemorrhagic events.

Design, setting, and participants: This phase 2, pragmatic, response-adaptive randomized clinical trial was conducted between June 2017 and June 2023 at acute care …

Plasma P-Tau217 And Tau-Pet Predict Future Cognitive Decline Among Cognitively Unimpaired Individuals: Implications For Clinical Trials, Rik Ossenkoppele, Tammie L S Benzinger, Suzanne E Schindler, Randall J Bateman, Et Al.

2020-Current year OA Pubs

Plasma p-tau217 and tau positron emission tomography (PET) are strong prognostic biomarkers in Alzheimer's disease (AD), but their relative performance in predicting future cognitive decline among cognitively unimpaired (CU) individuals is unclear. In a head-to-head comparison study including nine cohorts and 1,474 individuals, we show that plasma p-tau217 and medial temporal lobe tau-PET signal display similar associations with cognitive decline on a global cognitive composite test (R

Functional Vision Assessment Over 4 Years In Ush2a Using The Veteran Affairs Low-Vision Visual Functioning Questionnaire, Bela Parekh, Nicholas Peck-Dimit, Jacque L Duncan, Lassana Samarakoon, Maria Fernanda Abalem, Chris A Andrews, Isabelle Audo, Allison R Ayala, Chris Bradley, Janet K Cheetham, Gislin Dagnelie, Todd A Durham, Rachel M Huckfeldt, Gabrielle D Lacy, Brett Malbin, Michel Michaelides, David C Musch, Katarina Stingl, Christina Y Weng, Alex Z Zmejkoski, Michele Melia, K Thiran Jayasundera, Foundation Fighting Blindness Clinical Consortium Investigator Group

Faculty, Staff and Students Publications

Purpose: The purpose of this study was to evaluate the validity of the Veterans Affairs Low Vision Visual Functioning Questionnaire (VALVVFQ-48) functional vision scores (FVS) in patients with USH2A-associated retinal degeneration. In addition, to correlate the change in the VALVVFQ-48 FVS with the change in visual function (VF) measurements.

Methods: The VALVVFQ-48 was administered verbally to participants ≥18 years of age at baseline, and after 2 and 4 years. Associations among changes in FVS and changes in VF measures were assessed using the Spearman correlation coefficients. Mixed effects regression models with a random intercept were used to estimate annual rates …

The Contribution Of De Novo Coding Mutations To Meningomyelocele, Yoo-Jin Jiny Ha, Ashna Nisal, Isaac Tang, Chanjae Lee, Ishani Jhamb, Cassidy Wallace, Robyn Howarth, Sarah Schroeder, Keng Ioi Vong, Naomi Meave, Fiza Jiwani, Chelsea Barrows, Sangmoon Lee, Nan Jiang, Arzoo Patel, Krisha Bagga, Niyati Banka, Liana Friedman, Francisco A Blanco, Seyoung Yu, Soeun Rhee, Hui Su Jeong, Isaac Plutzer, Michael B Major, Béatrice Benoit, Christian Poüs, Caleb Heffner, Zoha Kibar, Gyang Markus Bot, Hope Northrup, Kit Sing Au, Madison Strain, Allison E Ashley-Koch, Richard H Finnell, Joan T Le, Hal S Meltzer, Camila Araujo, Helio R Machado, Roger E Stevenson, Anna Yurrita, Sara Mumtaz, Awais Ahmed, Mulazim Hussain Khara, Osvaldo M Mutchinick, José Ramón Medina-Bereciartu, Friedhelm Hildebrandt, Gia Melikishvili, Ahmed I Marwan, Valeria Capra, Mahmoud M Noureldeen, Aida M S Salem, Mahmoud Y Issa, Maha S Zaki, Libin Xu, Ji Eun Lee, Donghyuk Shin, Anna Alkelai, Alan R Shuldiner, Stephen F Kingsmore, Stephen A Murray, Heon Yung Gee, W Todd Miller, Kimberley F Tolias, John B Wallingford, Spina Bifida Sequencing Consortium, Sangwoo Kim, Joseph G Gleeson

Faculty, Staff and Students Publications

Meningomyelocele (also known as spina bifida) is considered to be a genetically complex disease resulting from a failure of the neural tube to close. Individuals with meningomyelocele display neuromotor disability and frequent hydrocephalus, requiring ventricular shunting. A few genes have been proposed to contribute to disease susceptibility, but beyond that it remains unexplained1. We postulated that de novo mutations under purifying selection contribute to the risk of developing meningomyelocele2. Here we recruited a cohort of 851 meningomyelocele trios who required shunting at birth and 732 control trios, and found that de novo likely gene disruption or …

Early Prediction Of Mortality And Morbidities In Vlbw Preterm Neonates Using Machine Learning, Chi-Hung Shu, Rema Zebda, Camilo Espinosa, Jonathan Reiss, Anne Debuyserie, Kristina Reber, Nima Aghaeepour, Mohan Pammi

Faculty, Staff and Students Publications

Background: Predicting mortality and specific morbidities before they occur may allow for interventions that may improve health trajectories.

Hypothesis: Integrating key maternal and postnatal infant variables in the first 2 weeks of age into machine learning (ML) algorithms will reliably predict survival and specific morbidities in VLBW preterm infants.

Methods: ML algorithms were developed to integrate 47 features for predicting mortality, bronchopulmonary dysplasia (BPD), neonatal sepsis, necrotizing enterocolitis (NEC), intraventricular hemorrhage (IVH), cystic periventricular leukomalacia (PVL), and retinopathy of prematurity (ROP). A retrospective cohort (n = 3341) was used to train and validate the models with a repeated 10-fold cross-validation …

Maternal-Fetal Surgery For Myelomeningocele Longitudinal Follow-Up Model: Mitigation Of Care Fragmentation Through Care Coordination And Outcomes Reporting, Jonathan Castillo, Mary M Locastro, Romain Corroenne, Anjali Malhotra, Alexander Van Speybroeck, Grace Lai, Michael A Belfort, Magdalena Sanz Cortes, Heidi Castillo

Faculty, Staff and Students Publications

Purpose

Methods

Results

Cortical Structure In Nodes Of The Default Mode Network Estimates General Intelligence, Abhinav Yadav, Archana Purushotham

Faculty, Staff and Students Publications

Introduction: A growing number of studies implicate functional brain networks in intelligence, but it is unclear if network nodal structure relates to intelligence.

Methods: Using MRI, we studied the relationship of the general intelligence factor (g) with cortical thickness (CT), local gyrification index (LGI), and voxel-based morphometry in the nodes of the default mode network (DMN) and task-positive network (TPN) in a cohort of 44 young, healthy adults. Employing a novel strategy, we performed repeated analyses with multiple sets of g estimates to remove false positives.

Results: CT and LGI in medial and temporal nodes of the DMN were reliably …

Navacaprant, A Novel And Highly Selective Kappa Opioid Receptor Antagonist, In Adults With Major Depressive Disorder: A Randomized, Double-Blind Phase 2 Clinical Trial, Sanjay J Mathew, Andrew J Cutler, Nicole C Visitacion, Michael Gold, Jason Yuan, Bill Aurora

Staff and Researcher Publications

PURPOSE/BACKGROUND: This phase 2a randomized, double-blind, placebo-controlled, 8-week trial assessed the efficacy and safety of navacaprant, a highly selective kappa opioid receptor antagonist, in adults with major depressive disorder (MDD).

METHODS/PROCEDURES: Participants with 17-Item Hamilton Depression Rating Scale (HAMD-17) scores of 14 to 30 were randomized 1:1 to once-daily navacaprant 80 mg or placebo (n = 102 each). The primary endpoint was HAMD-17 change from baseline (CFB) to week 8. Secondary endpoints included CFB in Snaith-Hamilton Pleasure Scale (SHAPS). No adjustment for multiple comparisons was made.

FINDINGS/RESULTS: At week 8, HAMD-17 CFB was not statistically significantly improved with navacaprant vs …