13 results match your criteria: "University of Arizona College of Medicine- Phoenix Phoenix Arizona USA.[Affiliation]"

Background: Various studies have revealed that there is a disproportionately low representation of skin of colour (SOC) in medical school dermatologic curriculum and board study resources.

Methods: First-year and second-year medical students were emailed an 18-question survey regarding (1) identifying correct diagnoses of dermatologic conditions on either White skin or SOC and (2) their confidence in identifying dermatologic conditions on SOC.

Results: 15% of the images of dermatologic conditions included in the institutional preclinical curriculum show images of patients with SOC.

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Objectives: The study aimed to extract online comments of otolaryngologists in the 20 most populated cities in the United States from healthgrades.com, develop and validate a natural language processing (NLP) logistic regression algorithm for automated text classification of reviews into 10 categories, and compare 1- and 5-star reviews in directly-physician-related and non-physician-related categories.

Methods: 1977 1-star and 12,682 5-star reviews were collected.

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Predicting 5-year dementia conversion in veterans with mild cognitive impairment.

Alzheimers Dement (Amst)

March 2024

Phoenix Veterans Affairs Health Care System Phoenix Arizona USA.

Introduction: Identifying mild cognitive impairment (MCI) patients at risk for dementia could facilitate early interventions. Using electronic health records (EHRs), we developed a model to predict MCI to all-cause dementia (ACD) conversion at 5 years.

Methods: Cox proportional hazards model was used to identify predictors of ACD conversion from EHR data in veterans with MCI.

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Objectives: Traumatic brain injury (TBI) is an important public health problem resulting in significant death and disability. Emergency medical services (EMS) personnel often provide initial treatment for TBI, but only limited data describe the long-term course and outcomes of this care. We sought to characterize changes in neurologic status among adults with TBI patients enrolled in the Resuscitation Outcomes Consortium Hypertonic Saline (ROC-HS) trial.

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As natural disasters become more frequent due to climate change, understanding the biological impact of these ecological catastrophes on wild populations becomes increasingly pertinent. Fluctuating asymmetry (FA), or random deviations from bilateral symmetry, is reflective of developmental instability and has long been positively associated with increases in environmental stress. This study investigates craniofacial FA in a population of free-ranging rhesus macaques () that has experienced multiple Category 3 hurricanes since the colony's inception on Cayo Santiago, including 275 individuals from ages 9 months to 31 years (F = 154; M = 121).

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N-methyladenosine (m6A) is the most common methylation modification in mammalian messenger RNA (mRNA) and noncoding RNAs. m6A modification plays a role in the regulation of gene expression and deregulation of m6A methylation has been implicated in many human diseases. Recent publications suggest that exploitation of this methylation process may possess utility against acute lung injury (ALI).

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In this report, we present a rare case of a 17-year-old male patient with metastatic mesenchymal chondrosarcoma (MCS) managed with nonsurgical treatment who subsequently demonstrated a favorable response to concurrent chemotherapy and radiation therapy, followed with pazopanib target therapy. Further study regarding nonoperative care for metastatic MCS of spine is warranted.

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Introduction: The coronavirus disease 2019 (COVID-19) is currently a major pandemic challenge, and cancer patients are at a heightened risk of severity and mortality from this infection. In recent years, immune checkpoint inhibitor (ICI) use to treat multiple cancers has increased in oncology, but equally has raised the question of whether ICI therapy and its side-effects is harmful or beneficial during this pandemic.

Methods: A combination of published literature in PubMed between January 2010 and December 2020, recommended guidelines in non-cancer patients, and clinical experience was utilized to outline recommendations on glucocorticoid timing and dosing regimens in ICI-treated patients presenting with AI during this COVID-19 pandemic.

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Introduction: Medin, an aging-associated amyloidogenic protein, induces cerebrovascular dysfunction and inflammation. We investigated the relationship between cerebrovascular medin and Alzheimer's disease (AD) and vascular dementia (VaD).

Methods: Cerebral arteriole medin was quantified from 91 brain donors with no dementia (ND), AD, VaD, or combined AD and VaD.

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Background: We sought to leverage data routinely collected in electronic health records (EHRs), with the goal of developing patient risk stratification tools for predicting risk of developing Alzheimer's disease (AD).

Method: Using EHR data from the University of Michigan (UM) hospitals and consensus-based diagnoses from the Michigan Alzheimer's Disease Research Center, we developed and validated a cohort discovery tool for identifying patients with AD. Applied to all UM patients, these labels were used to train an EHR-based machine learning model for predicting AD onset within 10 years.

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Atypical hemolytic uremic syndrome (aHUS) patients treated with eculizumab may require higher doses to achieve and maintain optimal clinical response. Further studies are warranted to elucidate optimal dosing regimens of eculizumab in aHUS patients, and whether dosing regimens can be predicted based on mutational status, eculizumab levels, or other testing.

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Background: Hyposmia is common in Parkinson's disease (PD) and is also observed with normal aging. It can be ascertained through objective testing, but it is unclear whether patients are aware of deficits and whether this has implications for cognitive status.

Methods: Subjects in the Arizona Study of Aging and Neurodegenerative Disorders were studied with annual motor and cognitive testing with objective smell testing (University of Pennsylvania Smell Identification Test; UPSIT) done every third year beginning in 2002.

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