107 results match your criteria: "College of Medicine University of Florida[Affiliation]"

Pediatric Long COVID has been associated with a wide variety of symptoms, conditions, and organ systems, but distinct clinical presentations, or subphenotypes, are still being elucidated. In this exploratory analysis, we identified a cohort of pediatric (age <21) patients with evidence of Long COVID and no pre-existing complex chronic conditions using electronic health record data from 38 institutions and used an unsupervised machine learning-based approach to identify subphenotypes. Our method, an extension of the Phe2Vec algorithm, uses tens of thousands of clinical concepts from multiple domains to represent patients' clinical histories to then identify groups of patients with similar presentations.

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Introduction: With Medicaid covering half of US pregnancies, Medicaid Analytic eXtract (MAX) provides a valuable data source to enrich understanding about stillbirth etiologies.

Objective: We developed and validated a claims-based algorithm to predict GA at stillbirth.

Method: We linked the stillbirths identified in MAX 1999-2013 to Florida Fetal Death Records (FDRs) to obtain clinical estimates of GA (N=825).

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Article Synopsis
  • The study aimed to analyze changes in body mass index (BMI) among individuals aged 18-99 years with and without a SARS-CoV-2 infection using data from the OneFlorida+ Clinical Research Network.
  • It involved 249,743 participants, with the Exposed cohort (those positive for SARS-CoV-2) having a slightly higher average BMI at the start, while the Unexposed cohort (negative tests) experienced a decrease in BMI over 100 days.
  • The findings showed that while the Exposed cohort's BMI remained stable, the Unexposed cohort's decreased slightly, and the Historical cohort's increased, with variations noted across different sex, race, and age subgroups.
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Background: The spread of illicitly manufactured fentanyl is driving steep increases in US overdose deaths. Fentanyl seizures are correlated with state-level opioid-related mortality; however, more granular seizure surveillance information has the potential to better inform overdose prevention and harm reduction efforts.

Methods: Using data on fentanyl pill and powder seizures from High Intensity Drug Trafficking Areas (HIDTA), we tested associations between seizure prevalence and overdose mortality, from 2013 to 2020.

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Introduction: Alzheimer's disease (AD) is often misclassified in electronic health records (EHRs) when relying solely on diagnosis codes. This study aimed to develop a more accurate, computable phenotype (CP) for identifying AD patients using structured and unstructured EHR data.

Methods: We used EHRs from the University of Florida Health (UFHealth) system and created rule-based CPs iteratively through manual chart reviews.

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Gene expression in skeletal muscle of older individuals may reflect compensatory adaptations in response to oxidative damage that preserve tissue integrity and maintain function. Identifying associations between oxidative stress response gene expression patterns and mitochondrial function, physical performance, and muscle mass in older individuals would further our knowledge of mechanisms related to managing molecular damage that may be targeted to preserve physical resilience. To characterize expression patterns of genes responsible for the oxidative stress response, RNA was extracted and sequenced from skeletal muscle biopsies collected from 575 participants (≥70 years old) from the Study of Muscle, Mobility, and Aging.

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Autophagy is essential for proteostasis, energetic balance, and cell defense and is a key pathway in aging. Identifying associations between autophagy gene expression patterns in skeletal muscle and physical performance outcomes would further our knowledge of mechanisms related with proteostasis and healthy aging. Muscle biopsies were obtained from participants in the Study of Muscle, Mobility, and Aging (SOMMA).

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Corticosteroids for infectious critical illness: A multicenter target trial emulation stratified by predicted organ dysfunction trajectory.

medRxiv

March 2024

Division of Health Informatics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.

Corticosteroids decrease the duration of organ dysfunction in a range of infectious critical illnesses, but their risk and benefit are not fully defined using this construct. This retrospective multicenter study aimed to evaluate the association between usage of corticosteroids and mortality of patients with infectious critical illness by emulating a target trial framework. The study employed a novel stratification method with predictive machine learning (ML) subphenotyping based on organ dysfunction trajectory.

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Objective: To study body mass index (BMI) changes among individuals aged 18-99 years with and without SARS-CoV-2 infection.

Subjects/methods: Using real-world data from the OneFlorida+ Clinical Research Network of the National Patient-Centered Clinical Research Network, we compared changes over time in BMI in an Exposed cohort (positive SARS-CoV-2 test between March 2020 - January 2022), to a contemporary Unexposed cohort (negative SARS-CoV-2 tests), and an age/sex-matched Historical control cohort (March 2018 - January 2020). Body mass index (kg/m) was retrieved from objective measures of height and weight in electronic health records.

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Background: Thiazide diuretics are the second most frequently prescribed class of antihypertensives, but up to 50% of patients with hypertension have minimal antihypertensive response to thiazides. We explored circulating microRNAs (miRNAs) in search of predictive biomarkers of thiazide response.

Methods And Results: We profiled 754 miRNAs in baseline plasma samples of 36 hypertensive European American adults treated with hydrochlorothiazide, categorized into responders (n=18) and nonresponders (n=18) on the basis of diastolic blood pressure response to hydrochlorothiazide.

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Article Synopsis
  • The study highlights the importance of using AI to predict ischemic and bleeding events after drug-eluting stent implantation, responding to evolving guidelines in dual antiplatelet therapy (DAPT) management.
  • Researchers developed and validated an AI-based model, the AI-DAPT, using extensive patient data, which was evaluated against multiple algorithms to forecast risks over a 36-month period after stent implantation.
  • The AI-DAPT model achieved high accuracy in predicting both ischemic (90%) and bleeding (84%) risks, offering a dynamic and personalized tool for optimizing DAPT management.
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Background: Dyslipidemia is an independent risk factor for coronary heart disease (CHD). Standard lipid panel cannot capture the complexity of the blood lipidome (ie, all molecular lipids in the blood). To date, very few large-scale epidemiological studies have assessed the full spectrum of the blood lipidome on risk of CHD, especially in a longitudinal setting.

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Article Synopsis
  • The study examines public posts on Twitter and Instagram about adenoidectomy surgery to understand patients' and caregivers' perceptions and attitudes.
  • A total of 394 relevant posts were analyzed, highlighting the different concerns patients and caregivers have, with patients focusing more on pain and appearance, while caregivers discuss awareness and positivity more frequently.
  • Findings indicate that gender influences how caregivers share information, with female caregivers more often expressing fear and male caregivers providing educational content, suggesting tailored communication may enhance physician engagement with both groups.
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Electronic health records (EHR) have been widely used in building machine learning models for health outcomes prediction. However, many EHR-based models are inherently biased due to lack of risk factors on social determinants of health (SDoH), which are responsible for up to 40% preventive deaths. As SDoH information is often captured in clinical notes, recent efforts have been made to extract such information from notes with natural language processing and append it to other structured data.

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Gene expression in skeletal muscle of older individuals may reflect compensatory adaptations in response to oxidative damage that preserve tissue integrity and maintain function. Identifying associations between oxidative stress response gene expression patterns and mitochondrial function, physical performance, and muscle mass in older individuals would further our knowledge of mechanisms related to managing molecular damage that may be targeted to preserve physical resilience. To characterize expression patterns of genes responsible for the oxidative stress response, RNA was extracted and sequenced from skeletal muscle biopsies collected from 575 participants (≥70 years old) from the Study of Muscle, Mobility and Aging.

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Autophagy is an essential component of proteostasis and a key pathway in aging. Identifying associations between autophagy gene expression patterns in skeletal muscle and physical performance outcomes would further our knowledge of mechanisms related with proteostasis and healthy aging. Muscle biopsies were obtained from participants in the Study of Muscle, Mobility and Aging (SOMMA).

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Rationale And Objectives: This study explores the implementation and efficacy of an online, interactive, case-based radiology education tool, Wisdom in Diagnostic Imaging (WIDI) Case-Based Intro to Radiology (CBIR). We hypothesize that the WIDI CBIR platform would enhance radiology teaching, foster critical thinking, and provide a comprehensive curriculum in imaging interpretation and utilization.

Materials And Methods: A focus group consisting of 1 undergraduate, 7 medical students, 9 physician assistant students, and 3 PhD students participated in this study.

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Article Synopsis
  • * The study will include 212 participants with PAD and a BMI of 25 or higher, who will be randomized to receive either a behavioral weight loss intervention (via group sessions, a smartphone app, and phone coaching) or to focus solely on walking exercise.
  • * Key outcomes will measure improvements in walking distance after 12 months, alongside other physical activity metrics, dietary quality, and muscle health, ultimately seeking to enhance the treatment approach for PAD patients who are also overweight or obese.
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Clinical trials were vital tools to prove the effectiveness and safety of medications. To maximize generalizability, the study sample should represent the sample population and the target population. However, the clinical trial design tends to favor the evaluation of drug safety and procedure (i.

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Increasing diversity, equity, and inclusion in the fields of nutrition and obesity: A roadmap to equity in academia.

Am J Clin Nutr

April 2023

Pediatric Endocrinology Massachusetts General Hospital, and Harvard Medical School Boston, Massachusetts, USA; Nutrition Obesity Research Center at Harvard (NORCH) Harvard Medical School Boston, Massachusetts, USA; Department of Epidemiology and Prevention Wake Forest School of Medicine, Wake Forest Baptist Medical Center Winston-Salem, North Carolina USA.

Research shows that a diverse faculty improves academic, clinical, and research outcomes in higher education. Despite that, persons in minority groups, usually categorized by race or ethnicity, are underrepresented in academia (URiA). The Nutrition Obesity Research Centers (NORCs), supported by the NIDDK, hosted workshops on five separate days in September and October 2020.

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Bioconjugation of COL1 protein on liquid-like solid surfaces to study tumor invasion dynamics.

Biointerphases

March 2023

Department of Mechanical and Aerospace Engineering, Herbert Wertheim College of Engineering, College of Medicine University of Florida, Gainesville, Florida 3261.

Tumor invasion is likely driven by the product of intrinsic and extrinsic stresses, reduced intercellular adhesion, and reciprocal interactions between the cancer cells and the extracellular matrix (ECM). The ECM is a dynamic material system that is continuously evolving with the tumor microenvironment. Although it is widely reported that cancer cells degrade the ECM to create paths for migration using membrane-bound and soluble enzymes, other nonenzymatic mechanisms of invasion are less studied and not clearly understood.

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Background Knowledge of real-world antihypertensive use is limited to prevalent hypertension, limiting our understanding of how treatment evolves and its contribution to persistently poor blood pressure control. We sought to characterize antihypertensive initiation among new users. Methods and Results Using Medicaid and Medicare data from the OneFlorida+ Clinical Research Consortium, we identified new users of ≥1 first-line antihypertensives (angiotensin-converting enzyme inhibitor, calcium channel blocker, angiotensin receptor blocker, thiazide diuretic, or β-blocker) between 2013 and 2021 among adults with diagnosed hypertension, and no antihypertensive fill during the prior 12 months.

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Article Synopsis
  • Proteus syndrome is a rare disorder marked by irregular growth of bones and skin caused by mutations in the AKT1 gene.
  • Patients can experience severe respiratory issues, like lung disease and increased risk of blood clots, which can lead to significant health risks and mortality.
  • The case report highlights a young individual with Proteus syndrome developing precapillary pulmonary arterial hypertension, underscoring the importance of a thorough evaluation when patients present with breathing difficulties.
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Right ventricular (RV) dysfunction and pulmonary hypertension (PH) occurs in approximately one-third of patients with interstitial lung disease (ILD) and is associated with reduced 6-minute walk distance (6MWD), and increased hospitalizations and mortality. Although the impact of RV dysfunction and PH has been well described in several types of ILD, data is scarce on antisynthetase syndrome. Therefore, we sought to examine the presence of RV dysfunction and PH in patients with antisynthetase syndrome and the impact on clinical outcomes.

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Recent evidence suggests pulmonary hypertension (PH), a disease of the pulmonary vasculature actually has multiorgan pathophysiology and perhaps etiology. Herein, we demonstrated that fecal matter transplantation from angiotensin-converting enzyme 2 overexpressing mice counteracted the effects of chronic hypoxia to prevent pulmonary hypertension, neuroinflammation, and gut dysbiosis in wild type recipients.

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