Medicine and Health Sciences Commons^™

Approach For Defining Human Adenovirus Infection And Disease For Central Review Adjudication In Clinical Studies., Brian T. Fisher, Jesse Blumenstock, Craig L K Boge, Sydney Shuster, Alix E. Seif, Michael Green, Marian G. Michaels, Jessie L. Alexander, Monica I. Ardura, Tamara P. Miller, Diego R. Hijano, William J. Muller, Jennifer E. Schuster, Abby M. Green, Daniel E. Dulek, Adriana E. Kajon, Lara Danziger-Isakov

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Pediatric allogeneic hematopoietic cell transplant (allo-HCT) recipients are at risk for morbidity and mortality from human adenovirus (HAdV). HAdV can be detected in an asymptomatic state, referred to as infection or with signs or symptoms of illness, referred to as disease. Standardized case definitions are needed to distinguish infection from disease and allow for consistent reporting in both observational cohort studies and therapeutic clinical trials.

METHODS: A working group of experts in virology, transplant infectious disease, and HCT was assembled to develop HAdV infection and disease definitions with the degree of certainty (i.e., possible, probable, and proven). Definitions were …

A Meta-Analysis On The Diagnostic Utility Of Ultrasound In Pediatric Distal Forearm Fractures, Amir Hassankhani, Melika Amoukhteh, Payam Jannatdoust, Parya Valizadeh, Delaram J Ghadimi, Pauravi S Vasavada, Jennifer H Johnston, Ali Gholamrezanezhad

Journal Articles

Pediatric distal forearm fractures, comprising 30% of musculoskeletal injuries in children, are conventionally diagnosed using radiography. Ultrasound has emerged as a safer diagnostic tool, eliminating ionizing radiation, enabling bedside examinations with real-time imaging, and proving effective in non-hospital settings. The objective of this study is to evaluate the diagnostic efficacy of ultrasound for detecting distal forearm fractures in the pediatric population. A systematic review and meta-analysis were conducted through a comprehensive literature search in PubMed, Scopus, Web of Science, and Embase databases until October 1, 2023, following established guidelines. Eligible studies, reporting diagnostic accuracy measures of ultrasound in pediatric patients …

Reliability And Validity Of Smartphone Cognitive Testing For Frontotemporal Lobar Degeneration, Adam M Staffaroni, Nupur Ghoshal, Jason Hassenstab, Et Al.

2020-Current year OA Pubs

IMPORTANCE: Frontotemporal lobar degeneration (FTLD) is relatively rare, behavioral and motor symptoms increase travel burden, and standard neuropsychological tests are not sensitive to early-stage disease. Remote smartphone-based cognitive assessments could mitigate these barriers to trial recruitment and success, but no such tools are validated for FTLD.

OBJECTIVE: To evaluate the reliability and validity of smartphone-based cognitive measures for remote FTLD evaluations.

DESIGN, SETTING, AND PARTICIPANTS: In this cohort study conducted from January 10, 2019, to July 31, 2023, controls and participants with FTLD performed smartphone application (app)-based executive functioning tasks and an associative memory task 3 times over 2 weeks. …

Arch: Improving The Performance Of Clonal Hematopoiesis Variant Calling And Interpretation, Irenaeus C C Chan, Alex Panchot, Evelyn Schmidt, Brian J Wiley, Jie Liu, Kimberly Turner, Duc Tran, J Scott Beeler, Armel Landry Batchi-Bouyou, Daniel C Link, Kelly L Bolton, Et Al.

2020-Current year OA Pubs

MOTIVATION: The acquisition of somatic mutations in hematopoietic stem and progenitor stem cells with resultant clonal expansion, termed clonal hematopoiesis (CH), is associated with increased risk of hematologic malignancies and other adverse outcomes. CH is generally present at low allelic fractions, but clonal expansion and acquisition of additional mutations leads to hematologic cancers in a small proportion of individuals. With high depth and high sensitivity sequencing, CH can be detected in most adults and its clonal trajectory mapped over time. However, accurate CH variant calling is challenging due to the difficulty in distinguishing low frequency CH mutations from sequencing artifacts. …

Reliability And Validity Of The Patient Health Questionnaire-4 Scale And Its Subscales Of Depression And Anxiety Among Us Adults Based On Nativity, David Adzrago, Timothy J Walker, Faustine Williams

Journal Articles

BACKGROUND: The burdens of anxiety and depression symptoms have significantly increased in the general US population, especially during this COVID-19 epidemiological crisis. The first step in an effective treatment for anxiety and depression disorders is screening. The Patient Health Questionnaire-4 (PHQ-4, a 4-item measure of anxiety/depression) and its subscales (PHQ-2 [a 2-item measure of depression] and Generalized Anxiety Disorder [GAD-2, a 2-item measure of anxiety]) are brief but effective mass screening instruments for anxiety and depression symptoms in general populations. However, little to no study examined the psychometric properties (i.e., reliability and validity) of the PHQ-4 and its subscales (PHQ-2 …

Liax Is A Surrogate Marker For Cell Envelope Stress And Daptomycin Non-Susceptibility In Enterococcus Faecium, Dierdre B Axell-House, Shelby R Simar, Diana Panesso, Sandra Rincon, William R Miller, Ayesha Khan, Orville A Pemberton, Lizbet Valdez, April H Nguyen, Kara S Hood, Kirsten Rydell, Andrea M Detranaltes, Mary N Jones, Rachel Atterstrom, Jinnethe Reyes, Pranoti V Sahasrabhojane, Geehan Suleyman, Marcus Zervos, Samuel A Shelburne, Kavindra V Singh, Yousif Shamoo, Blake M Hanson, Truc T Tran, Cesar A Arias

Journal Articles

Daptomycin (DAP) is often used as a first-line therapy to treat vancomycin-resistant

Development Of A Follow-Up Measure To Ensure Complete Screening For Colorectal Cancer, Elizabeth L Ciemins, Jeff T Mohl, Carlos A Moreno, Francis Colangelo, Robert A Smith, Mary Barton

Journal Articles

IMPORTANCE: The current quality performance measure for colorectal cancer (CRC) screening is limited to initial screening. Despite low rates, there is no measure for appropriate follow-up with colonoscopy after receipt of an abnormal result of a stool-based screening test (SBT) for CRC. A quality performance measure is needed.

OBJECTIVE: To develop and test a quality performance measure for follow-up colonoscopy within 6 months of an abnormal result of an SBT for CRC.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective quality improvement study examined data from January 1, 2016, to December 31, 2020, with 2018 plus 6 months of follow-up as the …

Relationship Between Obesity And Global Longitudinal Strain In The Pediatric Single Ventricle Fontan Population Across Ventricular Morphologies., Nitin Madan, Doaa Aly, Melanie Kathol, Amulya Buddhavarapu, Thomas Rieth, Ashley K. Sherman, Daniel Forsha

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Obesity is associated with diminished myocardial function as measured by strain echocardiography in children and young adults with normal cardiac anatomy. Data are lacking about the effect of obesity on myocardial strain in patients with a single ventricle. In this study, the relationship between body mass index (BMI) and single ventricle myocardial strain in the Fontan population was assessed.

METHODS AND RESULTS: Thirty-eight abnormal BMI Fontan cases (21 overweight and 17 obese) and 30 normal BMI Fontan controls matched based on single ventricular morphology, age, and sex were included in the study. Ventricular morphology was categorized as single right …

Contextualizing The Revised Patient Perception Of Patient-Centeredness (Pppc-R) Scale In Primary Healthcare Settings: A Validity And Reliability Evaluation Study, Yiyuan Cai, Pengfei Guo, Jiong Tu, Mengyao Hu, Lingrui Liu, Bridget L Ryan, Jing Liao, Rubee Dev, Yiran Li, Tianyu Huang, Ruilin Wang, Li Kuang, Ruonan Huang, Xinfang Li, Edmundo Roberto Melipillán, Shuaixiang Zhao, Wenjun He, Xiaohui Wang, Nan Zhang, Dong Roman Xu

Journal Articles

BACKGROUND: An English version of the Patient Perception of Patient-Centeredness (PPPC) scale was recently revised, and it is necessary to test this instrument in different primary care populations.

AIM: This study aimed to assess the validity and reliability of a Chinese version of the PPPC scale.

DESIGN: A mixed method was used in this study. The Delphi method was used to collect qualitative and quantitative data to address the content validity of the PPPC scale by calculating the Content Validity Index, Content Validity Ratio, the adjusted Kappa, and the Item Impact Score. Confirmatory factor analysis (CFA) and exploratory factor analysis …

Reference Ranges For Left Modified Myocardial Performance Index: Systematic Review And Meta-Analysis, Katherine H Bligard, Michelle Doering, Shay Porat, Joshua I Rosenbloom

2020-Current year OA Pubs

INTRODUCTION: The modified myocardial performance index (mod-MPI) is a noninvasive Doppler-derived metric used to evaluate fetal cardiac function. However, the reference ranges for mod-MPI in normal fetuses are not clearly defined, which limits the use of this technology in fetuses with potential cardiac compromise. Thus, we aimed to perform a systematic review and meta-analysis of published mod-MPI reference ranges across gestation.

METHODS: The published literature was systematically searched, and all published articles in any language that provided values for the left ventricular mod-MPI obtained in low-risk, singleton fetuses were considered eligible for further review. All retrieved titles and abstracts were …

Identifying Canonical And Replicable Multi-Scale Intrinsic Connectivity Networks In 100k+ Resting-State Fmri Datasets., A Iraji, Z Fu, A Faghiri, M Duda, J Chen, S Rachakonda, T Deramus, P Kochunov, B M Adhikari, A Belger, J M Ford, D H Mathalon, G D Pearlson, S G Potkin, A Preda, J A Turner, T G M Van Erp, J R Bustillo, K Yang, K Ishizuka, A Faria, A Sawa, K Hutchison, E A Osuch, Jean Theberge, C Abbott, B A Mueller, D Zhi, C Zhuo, S Liu, Y Xu, M Salman, J Liu, Y Du, J Sui, T Adali, V D Calhoun

Department of Medicine Publications

Despite the known benefits of data-driven approaches, the lack of approaches for identifying functional neuroimaging patterns that capture both individual variations and inter-subject correspondence limits the clinical utility of rsfMRI and its application to single-subject analyses. Here, using rsfMRI data from over 100k individuals across private and public datasets, we identify replicable multi-spatial-scale canonical intrinsic connectivity network (ICN) templates via the use of multi-model-order independent component analysis (ICA). We also study the feasibility of estimating subject-specific ICNs via spatially constrained ICA. The results show that the subject-level ICN estimations vary as a function of the ICN itself, the data length, …

Hospital Adhering To The Ten Steps To Successful Breastfeeding Predicts Exclusive Breastfeeding In Latinx Mothers., Ana Linares, Diana Cartagena, Marialda Moreira Christoffel

Nursing Faculty Publications

Introduction: Assessing how well a hospital adheres to the Ten Steps to Successful Breastfeeding is the key to outlining necessary modifications in mother breastfeeding support. This study aimed to assess Latinx mothers’ perception of how well a hospital adheres to the Ten Steps to Successful Breastfeeding and its influence on exclusive breastfeeding (EBF) rates at hospital discharge.

Methods: Secondary analysis of two longitudinal studies. The combined sample (N = 74) of Latinx pregnant women residing in the US. We modified, translated, and evaluated reliability of the Questionnaire for the Breastfeeding Mother (QBFM), which was applied to evaluate mothers’ …

Neuroimaging-Based Classification Of Ptsd Using Data-Driven Computational Approaches: A Multisite Big Data Study From The Enigma-Pgc Ptsd Consortium., Xi Zhu, Yoojean Kim, Orren Ravid, Xiaofu He, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Seonjoo Lee, Chadi G Abdallah, Michael Angstadt, Christopher L Averill, C Lexi Baird, Lee A Baugh, Jennifer U Blackford, Jessica Bomyea, Steven E Bruce, Richard A Bryant, Zhihong Cao, Kyle Choi, Josh Cisler, Andrew S Cotton, Judith K Daniels, Nicholas D Davenport, Richard J Davidson, Michael D Debellis, Emily L Dennis, Maria Densmore, Terri Deroon-Cassini, Seth G Disner, Wissam El Hage, Amit Etkin, Negar Fani, Kelene A Fercho, Jacklynn Fitzgerald, Gina L Forster, Jessie L Frijling, Elbert Geuze, Atilla Gonenc, Evan M Gordon, Staci Gruber, Daniel W Grupe, Jeffrey P Guenette, Courtney C Haswell, Ryan J Herringa, Julia Herzog, David Bernd Hofmann, Bobak Hosseini, Anna R Hudson, Ashley A Huggins, Jonathan C Ipser, Neda Jahanshad, Meilin Jia-Richards, Tanja Jovanovic, Milissa L Kaufman, Mitzy Kennis, Anthony King, Philipp Kinzel, Saskia B J Koch, Inga K Koerte, Sheri M Koopowitz, Mayuresh S Korgaonkar, John H Krystal, Ruth Lanius, Christine L Larson, Lauren A M Lebois, Gen Li, Israel Liberzon, Guang Ming Lu, Yifeng Luo, Vincent A Magnotta, Antje Manthey, Adi Maron-Katz, Geoffery May, Katie Mclaughlin, Sven C Mueller, Laura Nawijn, Steven M Nelson, Richard W J Neufeld, Jack B Nitschke, Erin M O'Leary, Bunmi O Olatunji, Miranda Olff, Matthew Peverill, K Luan Phan, Rongfeng Qi, Yann Quidé, Ivan Rektor, Kerry Ressler, Pavel Riha, Marisa Ross, Isabelle M Rosso, Lauren E Salminen, Kelly Sambrook, Christian Schmahl, Martha E Shenton, Margaret Sheridan, Chiahao Shih, Maurizio Sicorello, Anika Sierk, Alan N Simmons, Raluca M Simons, Jeffrey S Simons, Scott R Sponheim, Murray B Stein, Dan J Stein, Jennifer S Stevens, Thomas Straube, Delin Sun, Jean Theberge, Paul M Thompson, Sophia I Thomopoulos, Nic J A Van Der Wee, Steven J A Van Der Werff, Theo G M Van Erp, Sanne J H Van Rooij, Mirjam Van Zuiden, Tim Varkevisser, Dick J Veltman, Robert R J M Vermeiren, Henrik Walter, Li Wang, Xin Wang, Carissa Weis, Sherry Winternitz, Hong Xie, Ye Zhu, Melanie Wall, Yuval Neria, Rajendra A Morey

Department of Medicine Publications

BACKGROUND: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group.

METHODS: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls …

Neuroimaging-Based Classification Of Ptsd Using Data-Driven Computational Approaches: A Multisite Big Data Study From The Enigma-Pgc Ptsd Consortium, Xi Zhu, Evan M Gordon, Et Al.

2020-Current year OA Pubs

BACKGROUND: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group.

METHODS: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls …

Characteristic Dynamic Functional Connectivity During Sevoflurane-Induced General Anesthesia, J. Miao, M. Tantawi, Mahdi Alizadeh, Sara Thalheimer, Faezeh Vedaei, Victor Romo, Feroze B. Mohamed, Chengyuan Wu

Department of Neurosurgery Faculty Papers

General anesthesia (GA) during surgery is commonly maintained by inhalational sevoflurane. Previous resting state functional MRI (rs-fMRI) studies have demonstrated suppressed functional connectivity (FC) of the entire brain networks, especially the default mode networks, transitioning from the awake to GA condition. However, accuracy and reliability were limited by previous administration methods (e.g. face mask) and short rs-fMRI scans. Therefore, in this study, a clinical scenario of epilepsy patients undergoing laser interstitial thermal therapy was leveraged to acquire 15 min of rs-fMRI while under general endotracheal anesthesia to maximize the accuracy of sevoflurane level. Nine recruited patients had fMRI acquired during …

Harmonization Of Multi-Site Diffusion Tensor Imaging Data For Cervical And Thoracic Spinal Cord At 1.5 T And 3 T Using Longitudinal Combat, Devon M. Middleton, Yutong Li, Andrew Chen, Russell Shinohara, Joshua Fisher, Laura Krisa, Mark Elliot, Scott H. Faro, John H. Woo, Adam E. Flanders, Feroze B. Mohamed

Department of Radiology Faculty Papers

MRI scanner hardware, field strengths, and sequence parameters are major variables in diffusion studies of the spinal cord. Reliability between scanners is not well known, particularly for the thoracic cord. DTI data was collected for the entire cervical and thoracic spinal cord in thirty healthy adult subjects with different MR vendors and field strengths. DTI metrics were extracted and averaged for all slices within each vertebral level. Metrics were examined for variability and then harmonized using longitudinal ComBat (longComBat). Four scanners were used: Siemens 3 T Prisma, Siemens 1.5 T Avanto, Philips 3 T Ingenia, Philips 1.5 T Achieva. Average …

A Multicenter Study Validates The Who 2022 Classification For Conjunctival Melanocytic Intraepithelial Lesions With Clinical And Prognostic Relevance, Hardeep Singh Mudhar, Yamini Krishna, Simon Cross, Claudia Auw-Haedrich, Raymond Barnhill, Svetlana Cherepanoff, Ralph Eagle, James Farmer, Robert Folberg, Hans Grossniklaus, Martina C. Herwig-Carl, Martin Hyrcza, Sandra Lassalle, Karin U. Loeffler, Alexandre Moulin, Tatyana Milman, Robert M. Verdijk, Steffen Heegaard, Sarah E. Coupland

Wills Eye Hospital Papers

Several nomenclature and grading systems have been proposed for conjunctival melanocytic intraepithelial lesions (C-MIL). The fourth "WHO Classification of Eye Tumors" (WHO-EYE04) proposed a C-MIL classification, capturing the progression of noninvasive neoplastic melanocytes from low- to high-grade lesions, onto melanoma in situ (MIS), and then to invasive melanoma. This proposal was revised to the WHO-EYE05 C-MIL system, which simplified the high-grade C-MIL, whereby MIS was subsumed into high-grade C-MIL. Our aim was to validate the WHO-EYE05 C-MIL system using digitized images of C-MIL, stained with hematoxylin and eosin and immunohistochemistry. However, C-MIL cases were retrieved from 3 supraregional ocular pathology …

Modeling The Normal:Abnormal Spectrum Of Early Childhood Internalizing Behaviors: A Clinical-Developmental Approach For The Multidimensional Assessment Profiles Internalizing Dimensions, Lauren S Wakschlag, Phillip Sherlock, Courtney K Blackwell, James L Burns, Sheila Krogh-Jespersen, Richard C Gershon, David Cella, Kristin A Buss, Joan L Luby

2020-Current year OA Pubs

BACKGROUND: We expanded the Multidimensional Assessment Profiles (MAPS) Scales developmental specification model to characterize the normal:abnormal spectrum of internalizing (anxious and depressive) behaviors in early childhood via the MAPS-Internalizing (MAPS-INT) scale.

METHODS: The MAPS-INT item pool was generated based on clinical expertise and prior research. Analyses were conducted on a sub-sample of families (n = 183) from the diverse When to Worry early childhood sample.

RESULTS: Normal:abnormal descriptive patterns for both anxious and depressive behaviors were consistent with prior work: (1) extremes of normative variation are abnormal when very frequent; and (2) pathognomonic indicators that most children do not engage …

High-Throughput, Fluorescent-Aptamer-Based Measurements Of Steady-State Transcription Rates For The Mycobacterium Tuberculosis Rna Polymerase, Drake Jensen, Ana Ruiz Manzano, Maxwell Rector, Eric J Tomko, M Thomas Record, Eric A Galburt

2020-Current year OA Pubs

The first step in gene expression is the transcription of DNA sequences into RNA. Regulation at the level of transcription leads to changes in steady-state concentrations of RNA transcripts, affecting the flux of downstream functions and ultimately cellular phenotypes. Changes in transcript levels are routinely followed in cellular contexts via genome-wide sequencing techniques. However, in vitro mechanistic studies of transcription have lagged with respect to throughput. Here, we describe the use of a real-time, fluorescent-aptamer-based method to quantitate steady-state transcription rates of the Mycobacterium tuberculosis RNA polymerase. We present clear controls to show that the assay specifically reports on promoter-dependent, …

Accuracy And Reliability Of Chatbot Responses To Physician Questions, Rachel S Goodman, Isik Turker, Et Al.

2020-Current year OA Pubs

IMPORTANCE: Natural language processing tools, such as ChatGPT (generative pretrained transformer, hereafter referred to as chatbot), have the potential to radically enhance the accessibility of medical information for health professionals and patients. Assessing the safety and efficacy of these tools in answering physician-generated questions is critical to determining their suitability in clinical settings, facilitating complex decision-making, and optimizing health care efficiency.

OBJECTIVE: To assess the accuracy and comprehensiveness of chatbot-generated responses to physician-developed medical queries, highlighting the reliability and limitations of artificial intelligence-generated medical information.

DESIGN, SETTING, AND PARTICIPANTS: Thirty-three physicians across 17 specialties generated 284 medical questions that they …

Interrater Reliability Of Motor Severity Scales For Hemifacial Spasm, Ha Yeon Lee, Ingyun Park, Minnie P Luu, Jerry Zhao, Jeanne P Vu, Elizabeth Cisneros, Brian D Berman, H A Jinnah, Han-Joon Kim, Catherine Y Liu, Joel S Perlmutter, Sarah Pirio Richardson, Anne Weissbach, Glenn T Stebbins, David A Peterson

2020-Current year OA Pubs

To compare the inter-rater reliability (IRR) of five clinical rating scales for video-based assessment of hemifacial spasm (HFS) motor severity. We evaluated the video recordings of 45 HFS participants recruited through the Dystonia Coalition. In Round 1, six clinicians with expertise in HFS assessed the participants' motor severity with five scales used to measure motor severity of HFS: the Jankovic rating scale (JRS), Hemifacial Spasm Grading Scale (HSGS), Samsung Medical Center (SMC) grading system for severity of HFS spasms (Lee's scale), clinical grading of spasm intensity (Chen's scale), and a modified version of the Abnormal Involuntary Movement Scale (Tunc's scale). …

Derivation, Validation, And Clinical Relevance Of A Pediatric Sepsis Phenotype With Persistent Hypoxemia, Encephalopathy, And Shock, L. Nelson Sanchez-Pinto, Tellen D. Bennett, Emily K. Stroup, Yuan Luo, Mihir Atreya, Juliane Bubeck-Wardenburg, Grace Chong, Alon Geva, E. Vincent S. Faustino, Reid W. Farris, Mark W. Hall, Colin Rogerson, Sareen S. Shah, Scott L. Weiss, Robinder G. Khemani

2020-Current year OA Pubs

OBJECTIVES: Untangling the heterogeneity of sepsis in children and identifying clinically relevant phenotypes could lead to the development of targeted therapies. Our aim was to analyze the organ dysfunction trajectories of children with sepsis-associated multiple organ dysfunction syndrome (MODS) to identify reproducible and clinically relevant sepsis phenotypes and determine if they are associated with heterogeneity of treatment effect (HTE) to common therapies.

DESIGN: Multicenter observational cohort study.

SETTING: Thirteen PICUs in the United States.

PATIENTS: Patients admitted with suspected infections to the PICU between 2012 and 2018.

INTERVENTIONS: None.

MEASUREMENTS AND MAIN RESULTS: We used subgraph-augmented nonnegative matrix factorization to …

The Nephrocheck Bedside System For Detecting Stage 3 Acute Kidney Injury After Open Thoracoabdominal Aortic Repair, Panagiotis Doukas, Jan Paul Frese, Thorsten Eierhoff, Gabriel Hellfritsch, Ben Raude, Michael J Jacobs, Andreas Greiner, Alexander Oberhuber, Alexander Gombert

Journal Articles

Acute kidney injury (AKI) is a common complication after complex aortic procedures and it is associated with relevant mortality and morbidity. Biomarkers for early and specific AKI detection are lacking. The aim of this work is to investigate the reliability of the NephroCheck bedside system for diagnosing stage 3 AKI following open aortic surgery. In this prospective, multicenter, observational study,- https://clinicaltrials.gov/ct2/show/NCT04087161 -we included 45 patients undergoing open thoracoabdominal aortic repair. AKI risk (AKIRisk-Index) was calculated from urine samples at 5 timepoints: baseline, immediately postoperatively and at 12, 24, 48, and 72 h post-surgery. AKIs were classified according to the KDIGO …

Validation Of The Hierarchical Nature Of The Ao Spine Sacral Classification And The Development Of The Sacral Ao Spine Injury Score, Brian A. Karamian, Gregory D. Schroeder, Mark J. Lambrechts, Jose A. Canseco, Emiliano N. Vialle, Frank Kandziora, Lorin M. Benneker, Rajasekaran Shanmuganathan, F. Cumhur Öner, Klaus J. Schnake, Christopher K. Kepler, Alexander R. Vaccaro

Rothman Institute Faculty Papers

STUDY DESIGN: Global cross-sectional survey.

OBJECTIVE: The objective of this study was to validate the hierarchical nature of the AO Spine Sacral Classification System and develop an injury scoring system.

SUMMARY OF BACKGROUND DATA: Although substantial interobserver and intraobserver reliability of the AO Spine Sacral Classification System has been established, the hierarchical nature of the classification has yet to be validated.

METHODS: Respondents numerically graded each variable within the classification system for severity. Based on the results, a Sacral AO Spine Injury Score (AOSIS) was developed.

RESULTS: A total of 142 responses were received. The classification exhibited a hierarchical Injury …

Curated And Harmonized Gut Microbiome 16s Rrna Amplicon Data From Dietary Fiber Intervention Studies In Humans, Cynthia I Rodriguez, Ali Keshavarzian, Bruce R Hamaker, Feitong Liu, Genelle R Lunken, Heather Rasmussen, Hongwei Zhou, Julien Tap, Kelly S Swanson, Maria Ukhanova, Marion Leclerc, Martin Gotteland, Paola Navarrete, Petia Kovatcheva-Datchary, Wendy J Dahl, Jennifer B H Martiny

Journal Articles

Next generation amplicon sequencing has created a plethora of data from human microbiomes. The accessibility to this scientific data and its corresponding metadata is important for its reuse, to allow for new discoveries, verification of published results, and serving as path for reproducibility. Dietary fiber consumption has been associated with a variety of health benefits that are thought to be mediated by gut microbiota. To enable direct comparisons of the response of the gut microbiome to fiber, we obtained 16S rRNA sequencing data and its corresponding metadata from 11 fiber intervention studies for a total of 2,368 samples. We provide …

Fiducial Markers Allow Accurate And Reproducible Delivery Of Liver Stereotactic Body Radiation Therapy, Marina Moskalenko, Bernard L. Jones, Adam Mueller, Shirley Lewis, Jay C. Shiao, Sara J. Zakem, Tyler P. Robin, Karyn A. Goodman

Department of Radiation Oncology Faculty Papers

Fiducial markers are utilized for image guided radiotherapy (IGRT) alignment during the delivery of liver stereotactic body radiosurgery (SBRT). There are limited data demonstrating the impact of matching fiducials on the accuracy of liver SBRT. This study quantifies the benefit of fiducial-based alignment and improvements in inter-observer reliability. Nineteen patients with 24 liver lesions were treated with SBRT. Target localization was performed using fiducial markers on cone-beam computed tomography (CBCT). Each CBCT procedure was retrospectively realigned to match both the liver edge and fiducial markers. The shifts were recorded by seven independent observers. Inter-observer variability was analyzed by calculating the …

Co-Clinical Imaging Metadata Information (Cimi) For Cancer Research To Promote Open Science, Standardization, And Reproducibility In Preclinical Imaging, Stephen M Moore, James D Quirk, Andrew W Lassiter, Richard Laforest, Kooresh I Shoghi, Et Al.

2020-Current year OA Pubs

Preclinical imaging is a critical component in translational research with significant complexities in workflow and site differences in deployment. Importantly, the National Cancer Institute's (NCI) precision medicine initiative emphasizes the use of translational co-clinical oncology models to address the biological and molecular bases of cancer prevention and treatment. The use of oncology models, such as patient-derived tumor xenografts (PDX) and genetically engineered mouse models (GEMMs), has ushered in an era of co-clinical trials by which preclinical studies can inform clinical trials and protocols, thus bridging the translational divide in cancer research. Similarly, preclinical imaging fills a translational gap as an …

Confidence-Based Laboratory Test Reduction Recommendation Algorithm, Tongtong Huang, Linda T Li, Elmer V Bernstam, Xiaoqian Jiang

Journal Articles

BACKGROUND: We propose a new deep learning model to identify unnecessary hemoglobin (Hgb) tests for patients admitted to the hospital, which can help reduce health risks and healthcare costs.

METHODS: We collected internal patient data from a teaching hospital in Houston and external patient data from the MIMIC III database. The study used a conservative definition of unnecessary laboratory tests, which was defined as stable (i.e., stability) and below the lower normal bound (i.e., normality). Considering that machine learning models may yield less reliable results when trained on noisy inputs containing low-quality information, we estimated prediction confidence to assess the …

Confidence-Based Laboratory Test Reduction Recommendation Algorithm, Tongtong Huang, Linda T Li, Elmer V Bernstam, Xiaoqian Jiang

Journal Articles

BACKGROUND: We propose a new deep learning model to identify unnecessary hemoglobin (Hgb) tests for patients admitted to the hospital, which can help reduce health risks and healthcare costs.

METHODS: We collected internal patient data from a teaching hospital in Houston and external patient data from the MIMIC III database. The study used a conservative definition of unnecessary laboratory tests, which was defined as stable (i.e., stability) and below the lower normal bound (i.e., normality). Considering that machine learning models may yield less reliable results when trained on noisy inputs containing low-quality information, we estimated prediction confidence to assess the …

Reliability Estimates For Assessing Meal Timing Derived From Longitudinal Repeated 24-Hour Dietary Recalls, Lacie Peterson, Hyejung Lee, Inge Huybrechts, Carine Biessy, Marian L Neuhouser, Benjamin Haaland, Benjamin Krick, Marc Gunter, Matthias B Schulze, Franziska Jannasch, Adriana M Coletta, Sheetal Hardikar, Amandine Chaix, Cici X Bauer, Qian Xiao, Mary C Playdon

Journal Articles

BACKGROUND: Regulating meal timing may have efficacy for improving metabolic health for preventing or managing chronic disease. However, the reliability of measuring meal timing with commonly used dietary assessment tools needs characterization prior to investigating meal timing and health outcomes in epidemiologic studies.

OBJECTIVES: to evaluate the reliability of estimating meal timing parameters, including overnight fasting duration, the midpoint of overnight fasting time, the number of daily eating episodes, the period with the largest percentage of daily caloric intake, and late last eating episode (> 09:00 pm) from repeated 24-h dietary recalls (24HRs).

METHODS: Intraclass correlation coefficients (ICC), Light's Kappa …