Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Effects Of Obesity On Patients Undergoing Cardiomems Procedure: Retrospective Cohort Study, Tony Elias, Mena Elmalh, Priya Brahmbhatt, Kyrillos Girgis, Taha Syed, Michael Valderrama, Rafail Beshai

Rowan-Virtua Research Day

★ Remote hemodynamic monitoring (CardioMEMs) is becoming increasingly important for management of chronic heart failure patients.

★ There is limited data looking specifically for obese patients who undergo CardioMEMs implantation.

★ We sought to examine the national inpatient sample database to describe in-hospital outcomes for this demographic

Clinical Outcomes For Cardiac Ablation In Octogenarians, Nonagenarians, And Centenarians: A Retrospective Cohort Study, Tony Elias, Mena Elmalh, Kyrillos Girgis, Michael Valderrama, Rafail Beshai

Rowan-Virtua Research Day

Background

Cardiac ablation is a therapeutic intervention aimed at correcting abnormal heart rhythms by disrupting electrical pathways in the heart, using techniques such as radiofrequency or cryoablation. Despite its effectiveness, there is a scarcity of data regarding the outcomes of cardiac ablation specifically among elderly patients. Previous studies have highlighted the complexities and challenges associated with managing cardiac arrhythmias in the elderly population, emphasizing the need for further investigation into treatment outcomes in this demographic.1,2 Therefore, this study aimed to investigate in-hospital outcomes among elderly patients who underwent cardiac ablation using data from the National Inpatient Sample (NIS) Database.

Methods …

Sex Differences In Outcomes Among Patients Who Underwent Cardiac Ablation: A Retrospective Cohort Study, Tony Elias, Mena Elmalh, Kyrillos Girgis, Taha Syed, Rafail Beshai

Rowan-Virtua Research Day

Background Cardiac ablation, encompassing radiofrequency and cryoablation modalities, is a therapeutic intervention targeting abnormal heart rhythms by disrupting electrical pathways within the heart. Despite its widespread use, research focusing on sex-specific outcomes among patients undergoing cardiac ablation remains limited. Understanding potential sex differences in treatment response and outcomes is crucial for optimizing patient care and outcomes.1,2 Therefore, this retrospective cohort study aimed to analyze the national inpatient sample database to assess in-hospital outcomes among patients undergoing cardiac ablation, specifically focusing on sex disparities.

Methods Data from the National Inpatient Sample (NIS) Database for the years 2019 and 2020 were utilized …

Comparing The Effects Of The Induction Of Anesthesia With Etomidate To The Induction Of Anesthesia With Midazolam On The Incidence Of In-Hospital Mortality: A Scoping Review, Madison Hayes Bsn, Rn, Ashley Lynch Bsn, Rn, Scott Jamison Bsn, Rn, Mary Joiner Bsn, Rn, Gray Seymour Bsn, Rn, Dwayne Accardo Dnp, Aprn, Crna, Tracy Mcclinton, Dnp, Aprn, Agacnp-Bc, Epb-C

Doctor of Nursing Practice Projects

Purpose/Background

The induction of anesthesia using hypnotic sedatives, such as etomidate and midazolam, is common practice. Etomidate and midazolam are commonly employed in the induction of anesthesia in the septic patient population, each with its unique advantages and drawbacks. This scoping review aims to synthesize evidence on the effects of anesthetic induction with etomidate versus midazolam in adult septic patients, focusing on the incidence of mortality and associated adverse effects during hospitalization. The purpose is to establish a standard of care for anesthetic induction in this population.

Methods

A literature review was conducted from September 2022 to March 2023 utilizing …

Machine Learning As A Tool For Early Detection: A Focus On Late-Stage Colorectal Cancer Across Socioeconomic Spectrums, Hadiza Galadima, Rexford Anson-Dwamena, Ashley Johnson, Ghalib Bello, Georges Adunlin, James Blando

Community & Environmental Health Faculty Publications

Purpose: To assess the efficacy of various machine learning (ML) algorithms in predicting late-stage colorectal cancer (CRC) diagnoses against the backdrop of socio-economic and regional healthcare disparities. Methods: An innovative theoretical framework was developed to integrate individual- and census tract-level social determinants of health (SDOH) with sociodemographic factors. A comparative analysis of the ML models was conducted using key performance metrics such as AUC-ROC to evaluate their predictive accuracy. Spatio-temporal analysis was used to identify disparities in late-stage CRC diagnosis probabilities. Results: Gradient boosting emerged as the superior model, with the top predictors for late-stage CRC diagnosis being anatomic site, …