1,778 results match your criteria: "Chobanian Avedisian School of Medicine[Affiliation]"

Objective: People with axial spondyloarthritis (axSpA) have increased fracture risk relative to the general population, possibly related to chronic inflammation. We assessed the impact of treatment with tumor necrosis factor inhibitors (TNFi) and non-biologic conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) on hip and spine fractures in axSpA, relative to nonsteroidal anti-inflammatory drugs (NSAIDs).

Methods: We conducted a nested case-control study using 2006-2021 data from the Merative MarketScan® Database.

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The Alzheimer's Disease Sequencing Project (ADSP) is a national initiative to understand the genetic architecture of Alzheimer's Disease and Related Dementias (AD/ADRD) by sequencing whole genomes of affected participants and age-matched cognitive controls from diverse populations. The Genome Center for Alzheimer's Disease (GCAD) processed whole-genome sequencing data from 36,361 ADSP participants, including 35,014 genetically unique participants of which 45% are from non-European ancestry, across 17 cohorts in 14 countries in this fourth release (R4). This sequencing effort identified 387 million bi-allelic variants, 42 million short insertions/deletions, and 2.

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Introduction: We investigated whether depression modified the associations between sleep duration and cognitive performance.

Methods: Multivariable linear regression models examined the associations between sleep duration and cognition in 1,853 dementia- and stroke-free participants from the Framingham Heart Study. Participants were categorized in four groups: no depressive symptoms, no antidepressants; depressive symptoms without antidepressants use; antidepressant use without depressive symptoms; both depressive symptoms and antidepressant use.

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Article Synopsis
  • The study examines the link between liver disease type (alcohol-related vs non-alcohol-related) and 6-week mortality following acute variceal bleeding (AVB) in patients with cirrhosis.
  • Researchers analyzed data from two large cohorts in the U.S. and Singapore, including 1,349 patients, and found that non-ALD patients had a significantly higher risk of mortality compared to ALD patients.
  • Incorporating the etiology of cirrhosis into existing mortality prediction models improved accuracy, highlighting the importance of considering the type of liver disease for patient care.
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Associations among PTSD symptoms, fear of emotion, and couple communication difficulties: A between-person dyadic analysis.

Behav Res Ther

December 2024

Department of Psychology, The Pennsylvania State University, University Park, PA, USA; Department of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.

This study investigated between-person associations among PTSD symptoms, fear of emotion, and perceived couple communication difficulties in a dyadic context among 64 trauma-exposed, mixed gender community couples (N = 128 individuals) using the Actor-Partner Interdependence Mediation Model. Individuals with higher PTSD symptoms endorsed greater fear of their emotions (β = .72; β = .

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Introduction: Dimethyl fumarate (DMF) has demonstrated a favorable benefit-risk profile in patients with relapsing-remitting multiple sclerosis (RRMS) in clinical and real-world studies. The ESTEEM study (NCT02047097) was conducted to assess the long-term safety and effectiveness of delayed-release DMF in patients with relapsing forms of MS in routine clinical practice. We report final outcomes from ESTEEM with up to 6.

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Introduction: Opioid use disorder is a chronic, relapsing disease and a major source of morbidity and mortality in the U.S. Medications for opioid use disorder (MOUD) have been shown to reduce opioid use; however, MOUD maintenance is often suboptimal.

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Nascent matrix deposition supports alveolar organoid formation from aggregates in synthetic hydrogels.

Stem Cell Reports

December 2024

Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA; Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, USA. Electronic address:

Human induced pluripotent stem cell (iPSC)-derived alveolar organoids have emerged as a system to model the alveolar epithelium in homeostasis and disease. However, alveolar organoids are typically grown in Matrigel, a mouse sarcoma-derived basement membrane matrix that offers poor control over matrix properties, prompting the development of synthetic hydrogels as a Matrigel alternative. Here, we develop a two-step culture method that involves pre-aggregation of organoids in hydrogel-based microwells followed by embedding in a synthetic hydrogel that supports alveolar organoid growth, while also offering considerable control over organoid and hydrogel properties.

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Objective: Event capture in clinical trials is resource-intensive, and electronic medical records (EMRs) offer a potential solution. This study develops algorithms for EMR-based death and hospitalization capture and compares them with traditional event capture methods.

Materials And Methods: We compared the effectiveness of EMR-based event capture and site-captured events adjudicated by a clinical endpoint committee in the multi-center INfluenza Vaccine to Effectively Stop cardio Thoracic Events and Decompensated heart failure (INVESTED) trial for participants from the Veterans Affairs healthcare system.

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Introduction: The impact of prolonged emergency department length of stay (EDLOS) on appropriately timed pharmacological venous thromboembolism prophylaxis (VTEp) and VTE outcomes is unknown in trauma.

Methods: Retrospective cohort study of adult patients admitted to civilian trauma centers participating in the American College of Surgeons' TQIP (2019-2021). Patients with severe solid organ, head, or spine injury, early hemorrhage control intervention, pre-existing home anticoagulation or bleeding disorder, inter-facility transfer or early discharge, and injury severity score ≤9 were excluded.

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Lessons Learned Through Adaptation of a Model Successful during the COVID Pandemic: Expanding HIV Self-testing for Persons Who Use Drugs.

J Addict Med

December 2024

From the Boston University Chobanian & Avedisian School of Medicine, Boston, MA (AH); Section of Infectious Diseases, Boston Medical Center, Boston, MA (ES, HVB, SEM, SAA); and Section of Infectious Diseases, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA (SAA).

The US overdose crisis is driving a surge in HIV diagnoses among persons who inject drugs (PWID). Innovative approaches are needed to address this increase in cases. Although HIV self-testing (HIVST) was hailed as a potential "game-changer" upon initial approval by the Food and Drug Administration over a decade ago, this convenient testing modality has not reached its full potential to impact the HIV epidemic.

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Article Synopsis
  • Recent advancements in extracellular vesicle (EV) biology are recognized for their potential impact on health and disease, particularly in vision research.
  • The National Eye Institute (NEI) highlighted EV research in its 2021-2025 Strategic Plan as a key focus area within Regenerative Medicine.
  • A workshop was held with twenty experts to assess the state of EV research and identify opportunities for its application in diagnosing and treating eye diseases.
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Background: Social determinants of health (SDOH) are associated with poor health outcomes among individuals with prevalent diseases.

Objective: To quantify the association between adverse SDOH and mortality among adults without major chronic diseases in the United States (US).

Design: Prospective observational study.

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Background: Systemic sclerosis-related pulmonary hypertension (SSc-PH) is a heterogeneous disease, often complicated by concomitant left ventricular (LV) dysfunction. However, the contribution of heterogeneity in LV dysfunction is unclear. The objective in this study was to identify regional clusters of LV longitudinal strain via echocardiography to determine how subgroups of LV dysfunction contribute to mortality in SSc-PH.

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Evolution of the Veterans Health Administration Spinal Cord Injuries and Disorders (SCI/D) Registry (VHA SCIDR): Characterization from 1994 to 2022.

J Spinal Cord Med

December 2024

Veterans Health Administration, United States Department of Veterans Affairs, Spinal Cord Injuries & Disorders National Program Office (11SCID), Washington, District of Columbia, USA.

Article Synopsis
  • The Veterans Health Administration (VHA) has managed the Spinal Cord Injury and Disorder Registry (VHA SCIDR) since 1994, tracking cases of US Veterans with spinal cord injuries through various data acquisition methods.
  • The objective was to consolidate and harmonize three decades of historical data into an automated system while detailing the population characteristics of the identified Veterans.
  • From 1994 to 2022, the registry identified 52,407 Veterans with spinal cord injuries, predominantly male (96.95%) and mostly White (56.09%), with a significant portion being traumatic injuries (53.39%).
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Individuals with hematologic malignancy have increased risk of latent tuberculosis infection (LTBI) reactivation and (SS) dissemination. However, screening prior to chemotherapy or corticosteroids is not routine. We conducted a LTBI and SS screening intervention amongst patients with hematologic malignancies.

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Deep learning and transfer learning for brain tumor detection and classification.

Biol Methods Protoc

November 2024

Department of Psychological and Brain Sciences, Computational Neuroscience and Vision Lab, Center for Systems Neuroscience, and Program for Neuroscience, Boston University, Boston, MA, 02215, United States.

Article Synopsis
  • Convolutional neural networks (CNNs) are advanced tools for image classification that mimic biological vision systems and allow for transfer learning, enabling them to adapt knowledge from one task to another.
  • This study examines the effectiveness of using CNNs for brain cancer detection by incorporating a unique transfer learning step from camouflage animal detection, enhancing the models' ability to recognize tumors in MRI scans.
  • Results indicated that these networks not only accurately identified brain tumors but also considered surrounding tissue changes, demonstrating a level of performance comparable to trained radiologists.
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