- Cardiomyopathy and Myosin Studies
- Cardiovascular Function and Risk Factors
- Congenital Heart Disease Studies
- Aortic aneurysm repair treatments
- Cardiovascular Effects of Exercise
- Cardiac, Anesthesia and Surgical Outcomes
- Cardiac pacing and defibrillation studies
- Cardiovascular Health and Disease Prevention
- Machine Learning in Healthcare
- Advanced X-ray and CT Imaging
- Cardiac Structural Anomalies and Repair
- Functional Brain Connectivity Studies
- Biomedical and Engineering Education
- Pharmaceutical Practices and Patient Outcomes
- Lipoproteins and Cardiovascular Health
- Peripheral Neuropathies and Disorders
- Advanced MRI Techniques and Applications
- Inflammatory Myopathies and Dermatomyositis
- Primary Care and Health Outcomes
- Health Systems, Economic Evaluations, Quality of Life
- Educational Leadership and Innovation
- EEG and Brain-Computer Interfaces
- Monoclonal and Polyclonal Antibodies Research
- Clinical practice guidelines implementation
- Health Policy Implementation Science
Mayo Clinic in Arizona
2022-2025
Mayo Clinic
2022-2024
WinnMed
2022-2023
Abstract Background Clinical guidelines recommend high-intensity statin therapy for patients with acute coronary syndrome (ACS). However, statins have been underused in this population. Objective The objective of study was to evaluate the feasibility a pharmacist-initiated, team-based intervention delivery individualized, guideline-directed, lipid-lowering ACS. Methods Patients admitted ACS cardiology hospital services at Mayo Clinic from August 1, 2021, June 19, 2022, were assigned group or...
Management of abdominal aortic aneurysms (AAAs) requires serial imaging surveillance to evaluate the aneurysm dimension. Natural language processing (NLP) has been previously developed retrospectively identify patients with AAA from electronic health records (EHRs). However, there are no reported studies that use NLP in near real-time radiology reports.This study aims develop and validate a rule-based algorithm for automatic extraction diagnosis reports case identification.The AAA-NLP was...
Abstract Hypertrophic Cardiomyopathy (HCM) is an inheritable heart disease with the highest rate of sudden cardiac death (SCD) in young adults. Implantable Cardioverter Defibrillator (ICD) therapy recommended for HCM patients at high risk SCD. Reviewing recent clinical literature revealed potential to improve selection candidates ICD implantation. The current study uses information extracted from echocardiography reports evaluate and aims provide a comparative insight into who benefited most...
Clinical practice guidelines recommend antiplatelet and statin therapies as well blood pressure control tobacco cessation for secondary prevention in patients with established atherosclerotic cardiovascular diseases (ASCVDs). However, these strategies risk modification are underused, especially rural communities. Moreover, resources to support the delivery of preventive care fewer than those their urban counterparts. Transformative interventions tailored needed.A multidisciplinary team...
To develop machine learning tools for automated hypertrophic cardiomyopathy (HCM) case recognition from echocardiographic metrics, aiming to identify HCM standard data with high performance. Four different random forest models were developed using a case-control cohort composed of 5548 patients and 16,973 controls without HCM, January 1, 2004, March 15, 2019. Each patient was matched 3 by sex, age, year echocardiography. Ten-fold crossvalidation used train the HCM. Variables included in...
<sec> <title>BACKGROUND</title> Management of abdominal aortic aneurysms (AAAs) requires serial imaging surveillance to evaluate the aneurysm dimension. Natural language processing (NLP) has been previously developed retrospectively identify patients with AAA from electronic health records (EHRs). However, there are no reported studies that use NLP in near real-time radiology reports. </sec> <title>OBJECTIVE</title> This study aims develop and validate a rule-based algorithm for automatic...
Introduction: Hypertrophic cardiomyopathy (HCM) is a disease characterized by genotypic and phenotypic heterogeneity. Correct classification of genetic variation critical for clinical interpretation. Herein, variants uncertain significance (VUS) pose dilemma in practice, limiting physicians’ decision making causing anguish to patients family members. Furthermore, with increasing knowledge changing guidelines, continuous reassessment crucial maintain usefulness practice. This study sought...