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Full-Text Articles in Other Analytical, Diagnostic and Therapeutic Techniques and Equipment

Clinical Outcomes For Impella Procedure In Octogenarians, Nonagenarians, And Centenarians: A Retrospective Cohort Study, Tony Elias, Sonika Vatsa, Kyrillos Girgis, Michael Valderrama, Rafail Beshai May 2024

Clinical Outcomes For Impella Procedure In Octogenarians, Nonagenarians, And Centenarians: A Retrospective Cohort Study, Tony Elias, Sonika Vatsa, Kyrillos Girgis, Michael Valderrama, Rafail Beshai

Rowan-Virtua Research Day

The Impella, a vital ventricular assist device, has seen extensive use in managing severe heart failure and cardiogenic shock. However, the impact of this procedure on older individuals remains poorly understood. To address this gap, we scrutinized the National Inpatient Sample Database from 2019 to 2020 to elucidate in-hospital outcomes among older patients who underwent the Impella procedure. Among the 8233 patients who underwent Impella insertion, 1389 (16.8%) were in the older population, aged 80 years or older. This subgroup exhibited a higher prevalence of comorbidities such as hypertension, diabetes mellitus, and chronic kidney disease compared to younger patients. Alarmingly, …


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 May 2024

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 Impella Patients Associated With Hyperlipidemia: An Analysis Of The National Inpatient Sample, Tony Elias, Sonika Vatsa, Kyrillos Gamal, Taha Syed, Rafail Beshai May 2024

Clinical Outcomes For Impella Patients Associated With Hyperlipidemia: An Analysis Of The National Inpatient Sample, Tony Elias, Sonika Vatsa, Kyrillos Gamal, Taha Syed, Rafail Beshai

Rowan-Virtua Research Day

The Impella, a ventricular assist device, is crucial for managing severe heart failure and cardiogenic shock. Despite its widespread use, there's scant information on how hyperlipidemia affects Impella patients. To address this gap, we delved into the National Inpatient Sample Database from 2019 and 2020. Our aim was to scrutinize in-hospital outcomes among these patients. We identified 8233 Impella patients, among whom 1012 (12.3%) had hyperlipidemia. Those with hyperlipidemia displayed higher rates of hypertension, diabetes mellitus, and chronic kidney disease compared to their counterparts without hyperlipidemia. Shockingly, in-hospital mortality was notably elevated in the hyperlipidemia group, emphasizing its clinical significance. …


Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang May 2023

Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang

Rowan-Virtua Research Day

The objective of this project is to utilize the UCI Heart Disease dataset to identify physiological biomarkers that are highly correlated with heart disease incidence. A predictive model can then be developed using these biomarkers to estimate the likelihood of someone having or developing a heart-related condition. This study compares the efficacy of predicting cardiovascular disease as an outcome using three machine learning algorithms: Support Vector Machine, Gaussian Naive Bayes, and logistic regression. Support Vector Machine works by creating hyperplanes between data points to conduct classification. Gaussian Naive Bayes works by using the conditional probabilities of events to classify the …