Abstract 19: Assessing The Impact Of Stroke Systems Of Care Policies On Stroke-related Outcomes
Introduction: Stroke systems of care (SSOC) laws have been adopted across the US as early as 2002 to improve access
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Abstract 267: Impact Of Sodium-Glucose Cotransporter-2 Inhibitors On Quality-of-life Outcomes Using The Kansas City Cardiomyopathy Questionnaire: A Meta-analytic Comparison
Abstract: SGLT2i have recently demonstrated efficacy in reducing acute CHF exacerbations, hospitalizations, and major adverse cardiac outcomes. Their efficacy in
Read moreAbstract 225: Hispanics And Chest Pain: An Opportunity To Address Healthcare Disparities In A Residency Training Program
Background: Racial and ethnic healthcare disparities contribute to significant morbidity, mortality, and healthcare costs in cardiovascular disease. As one of
Read moreAbstract 269: Coronary Artery Calcium As A Predictor For Stenting Outcomes: A Meta-analytic Comparison
Abstract: Coronary Artery Calcium (CAC) measurement and its usefulness to stratify patients by CAD risk remains an area of controversy.
Read moreAbstract 271: Bradyarrhythmia Associated With Remdesivir And Covid-19 Pneumonia: A Pharmacovigilance Analysis:
Background: Different arrhythmias have been reported in patients with COVID-19 due to the complication of the disease, and medications used
Read moreAbstract 162: Burden And Impact Of Chronic Kidney Disease On Admissions Of Cancer Survivors And Assessing The Odds Of Major Adverse Cardiac And Cerebrovascular Events
Background: Cancer-specific adverse events are not well defined despite chronic kidney disease (CKD) being associated with high mortality rates in
Read moreAbstract 226: The Appropriate Use Of Stress Tests In Low Pretest Probability Of CAD
Chest pain is the second most common complaint seen in ED and remains a leading diagnostic challenge. Multiple assessment tools
Read moreAbstract 263: Insights From Meta-analysis Of Studies Using Machine Learning To Predict Mortality Or Acute Kidney Injury After Coronary Artery Bypass Graft
Objective: Machine learning (ML) may enhance prediction of outcomes such as mortality or acute kidney injury (AKI) among cardiac patients
Read moreAbstract 42: Understanding Treatment Preferences For Patients With Tricuspid Regurgitation
Background: A quantitative patient preference study aims to understand tricuspid regurgitation (TR) patients’ priorities for symptom relief and treatment risk-benefit
Read moreAbstract 251: Natural Language Processing Of Clinical Documentation To Assess Racial Differences In The Clinical Profile Of Patients Hospitalized With Heart Failure
Background: Self-reported racial classification is often used as a proxy for phenotypic differences among clinical populations. We demonstrate an approach
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