Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

A Design, Development, And Evaluation Of Bio-Patch For Myocardial Tissue Repair, Yaya Zhang

Theses and Dissertations (ETD)

Introduction. Ischemic heart disease (IHD) is a major concern of human health issue. The structural repair and functional recovery of injured hearts is a major challenge in the clinical setting. Preclinical studies over last 10 years have demonstrated the potential of using stem cells to treat IHD, but the efficacy of this therapy is jeopardized by uncontrollable migration and low survival of the injected stem cells. An approach based on tissue engineering enabling target-specific stem cell delivery such as cardiac patches has emerged as an alternative solution for stem cell therapy for IHD. It employs scaffold materials to engulf various …

Prevention Of Doxorubicin-Induced Cardiotoxicity By A Coumestan Analogue, Psoralidin, Mujtaba H. Shah, Myia Aiges, Kota V. Ramana

Annual Research Symposium

Natural phenolic compound Psoralidin limits cardiotoxicity associated with Doxorubicin

Magnetic Resonance Imaging-Derived Microvascular Perfusion Modeling To Assess Peripheral Artery Disease, Olga A. Gimnich, Tatiana Belousova, Christina M. Short, Addison A. Taylor, Vijay Nambi, Joel D. Morrisett, Christie M. Ballantyne, Jean Bismuth, Dipan J. Shah, Gerd Brunner

School of Medicine Faculty Publications

BACKGROUND: Computational fluid dynamics has shown good agreement with contrast-enhanced magnetic resonance imaging measurements in cardiovascular disease applications. We have developed a biomechanical model of microvascular perfusion using contrast-enhanced magnetic resonance imaging signal intensities derived from skeletal calf muscles to study peripheral artery disease (PAD). METHODS AND RESULTS: The computational microvascular model was used to study skeletal calf muscle perfusion in 56 in-dividuals (36 patients with PAD, 20 matched controls). The recruited participants underwent contrast-enhanced magnetic resonance imaging and ankle-brachial index testing at rest and after 6-minute treadmill walking. We have determined associations of microvascular model parameters including the transfer …

To Echo Or Not To Echo: Improving Appropriate Use Of Echocardiography In Evaluation Of Syncope, William Hicks, Cindy Iwuagwu, Suzan Khalil, Juan Pablo Meruvia Garron, Cynthia Schwartz, Floyd Burke

North Florida Division GME Research Day 2023

No abstract provided.

Rare Case Of Chylopericardium Status Post Coronary Artery Bypass Graft, Hytham Rashid, Harris R. Khawaja, Ashley Charales, Essam Girgawy, Ramesh Kesavan, Michael Daniel

Gulf Coast Division GME Research Day 2023

No abstract provided.

The Telltale Of Left Atrial Thrombus Formation In Mitral Stenosis: Revisiting The Virchow’S Triad, Bayushi Eka Putra, Rina Ariani, Anwar Santoso, Prima Almazini, Estu Rudiktyo, Amiliana Mardiani Soesanto

Journal of the Hong Kong College of Cardiology

Aims: This study was conducted to assess the relationship of simple hematological parameters with the incidence of left atrial thrombus in rheumatic mitral stenosis in addition to conventional contributing factors. Methods: A cross-sectional analytical study was conducted in patients with significant rheumatic stenosis from 1 January 2018 to 31 July 2021. Thrombus evaluation was confirmed by transthoracic or transesophageal echocardiography. Lab tests were performed within 10 days prior to the echocardiographic evaluation. Subjects with significant mitral regurgitation will be excluded. Logistic regression analysis was done to evaluate the relationship between each variable to the presence of a thrombus. Results: Of …

Heart Disease Prediction Using Stacking Model With Balancing Techniques And Dimensionality Reduction, Ayesha Noor, Nadeem Javaid, Nabil Alrajeh, Babar Mansoor, Ali Khaqan, Safdar Hussain Bouk

School of Cybersecurity Faculty Publications

Heart disease is a serious worldwide health issue with wide-reaching effects. Since heart disease is one of the leading causes of mortality worldwide, early detection is crucial. Emerging technologies like Machine Learning (ML) are currently being actively used by the biomedical, healthcare, and health prediction industries. PaRSEL, a new stacking model is proposed in this research, that combines four classifiers, Passive Aggressive Classifier (PAC), Ridge Classifier (RC), Stochastic Gradient Descent Classifier (SGDC), and eXtreme Gradient Boosting (XGBoost), at the base layer, and LogitBoost is deployed for the final predictions at the meta layer. The imbalanced and irrelevant features in the …

Infrastructure Development For Personalized Risk Prediction To Reduce Cardiovascular Disease In Childhood Cancer Survivors, Suman Shrestha

Dissertations and Theses (Open Access)

Although childhood cancer survivors have lengthy life expectancies, they run the risk of experiencing long-term health issues as a result of their treatment. The most frequent non-cancerous cause of morbidity and mortality for these survivors is cardiac disease. Radiation therapy (RT) has been linked in numerous cohort studies to a higher chance of developing a late cardiac disease in these survivors, and this risk rises with higher mean heart doses and increased RT exposure to larger cardiac volumes. Since, the heart is a heterogeneous organ made up of several distinct substructures, RT dose received by the entire heart does not …

A Study Of Heart Disease Diagnosis Using Machine Learning And Data Mining, Intisar Ahmed

Electronic Theses, Projects, and Dissertations

Heart disease is the leading cause of death for people around the world today. Diagnosis for various forms of heart disease can be detected with numerous medical tests, however, predicting heart disease without such tests is very difficult. Machine learning can help process medical big data and provide hidden knowledge which otherwise would not be possible with the naked eye. The aim of this project is to explore how machine learning algorithms can be used in predicting heart disease by building an optimized model. The research questions are; 1) What Machine learning algorithms are used in the diagnosis of heart …

Inflammatory Response Following Hemorrhagic Stroke: The Role Of Cytokines, Patrick Devlin

Theses and Dissertations (ETD)

Hemorrhagic stroke is a dangerous form of stroke resulting from the rupturing of weakened blood vessels, releasing blood that increases intracranial pressure and causes the death of surrounding tissue. Treatment options are improving but remain limited, as evidenced by this condition being characterized by high rates of mortality as well as long-term morbidity. Unregulated inflammatory responses that occur following injury may be partially to blame for these poor outcomes. In response to any injury, the immune system releases cytokines to recruit immune cell activation and promote inflammation. But after hemorrhagic stroke, whether aneurysmal subarachnoid hemorrhage (aSAH) or intracerebral hemorrhage (ICH), …

Is Home Blood Pressure Monitoring Effective At Controlling Hypertension In African American Patients? A Clin-Iq, Rebecca Nye, Wilhelm Lehmann, Deborah Simpson

Journal of Patient-Centered Research and Reviews

African Americans are disproportionately affected by hypertension, a modifiable contributor to multiple chronic diseases and premature death. Primary care physicians play an important role in hypertension control. Home blood pressure monitoring (HBPM) is an evidence-based method for confirming diagnosis and monitoring hypertension over time. Some studies have found that HBPM may lead to clinically relevant reductions in blood pressure when combined with additional interventions, but few studies have focused specifically on African American populations. Evidence of effectiveness could increase clinical recommendation of HBPM. This clinical inquiry examined whether HBPM improves blood pressure control in African Americans with uncontrolled hypertension. Reviewed …

Utility Of Av Nodal Characteristics In Identification Of Atrioventricular Nodal Reentrant Tachycardia And Risk Of Recurrence, Kimberly M. Decarr

Longitudinal Scholar's Project

Background: Catheter ablation of the slow atrioventricular (AV) nodal pathway is a safe and effective treatment for atrioventricular nodal reentrant tachycardia (AVNRT). While AVNRT occurs frequently in both children and adults, pediatric patients experience higher rates of AVNRT recurrence.

Objective: The purpose of this study was to characterize changes in AV nodal conduction properties following catheter ablation and correlate these properties with AVNRT recurrence in pediatric patients.

Methods: This was a retrospective review of patients aged(AVRT) at a single tertiary care center between January 01, 2010 and September 01, 2021. Demographics, pre- and post-ablation ECG intervals, and AV nodal conduction …

Project Ankle-Brachial Index: Implementation Of An Evidence-Based Peripheral Artery Disease Protocol, Melaney Banks

Doctor of Nursing Practice Projects

Background: Peripheral artery disease (PAD) is a narrowing or blocking of the arteries due to plaque buildup, which prevents oxygen, blood, and other nutrients from getting to the legs. When this buildup reaches a certain point, it becomes atherosclerosis, which is more prevalent in a smoker. Smoking intensifies the problem of plaque buildup if an individual already suffers from PAD. When an individual smokes, the nicotine causes the arteries to constrict and narrow, reducing blood flow further. The ankle-brachial index (ABI) is a simple, cost-effective diagnostic test to identify the presence of PAD which will improve patient outcomes.

Purpose: This …

Assessing The Reidentification Risks Posed By Deep Learning Algorithms Applied To Ecg Data, Arin Ghazarian, Jianwei Zheng, Daniele Struppa, Cyril Rakovski

Mathematics, Physics, and Computer Science Faculty Articles and Research

ECG (Electrocardiogram) data analysis is one of the most widely used and important tools in cardiology diagnostics. In recent years the development of advanced deep learning techniques and GPU hardware have made it possible to train neural network models that attain exceptionally high levels of accuracy in complex tasks such as heart disease diagnoses and treatments. We investigate the use of ECGs as biometrics in human identification systems by implementing state-of-the-art deep learning models. We train convolutional neural network models on approximately 81k patients from the US, Germany and China. Currently, this is the largest research project on ECG identification. …

Association Between Leg Adiposity & Hypertension Subtypes In Young & Middle-Aged American Adults, David Lo, Aayush Visaria, Pranay Maniar

Rowan-Virtua Research Day

Our research aim was to determine the association between appendicular adiposity and hypertension to better elucidate the role of body fat distribution on blood pressure (BP).

Many studies have provided evidence for the inverse association between leg adiposity and metabolic syndrome criteria.

Hypertension (HT) subtypes have unique age distributions and associated risk factors. BMI ± triglycerides are major risk factors for isolated diastolic hypertension (IDH).

A Brief Literature Review On Heparin: To Bolus Or Not To Bolus, That Is The Question, Alex Gechlik, James Espinosa, Alan Lucerna, Kishan Patel

Rowan-Virtua Research Day

Heparin is an anticoagulant medication, used to inhibit the formation of thrombi that pose arteriolar and vein-occlusive risk. The choice between starting a heparin infusion with or without an initial bolus is case dependent based on whether a patient is already anticoagulated and if so, foregoing an initial bolus. In contrast, both anticoagulated and non-anticoagulated patients share the same goal when receiving Heparin for various thromboembolic syndromes, and that is to be within aPTT target range of 1.5-2.5 or 45 to 75 seconds. Falling below goal range leads to a 20-25% recurrence of VTE, and aPTT above goal range has …

Alternate Site Pacing And The Impact On Intracellular Calcium Handling During The Post-Extrasystolic Cardiac Cycle, Kent Ozcan, Lawrence Mulligan

Rowan-Virtua Research Day

Objective: Previous work has shown that alternate site (RV apex) results in myocardial dysfunction. With the development of tools to place endocardial pacing leads in locations that create physiological pacing activation, we sought to evaluate how ventricular trans-septal or left ventricular apical placement pacing differs from right atrial pacing. We will evaluate how these chronic pacing modes impact the PR and RF at baseline, 0, and 16 weeks in the canine heart.

Methods: Quantitative analysis will be performed on previously generated data. The data set includes pacing of 15 dogs total (8 with trans-septal leads & 7 with left ventricular …

Celiac Artery Aneurysm: A Rare Cause Of Abdominal Pain, Duwayne Campbell, Wayne Tamaska, Kevin Dwyer

Rowan-Virtua Research Day

Celiac artery aneurysm is a very rare vascular lesion accounting for only 5.1% of all splanchnic artery aneurysms. Etiology for celiac artery aneurysm includes, but not limited to, infectious diseases, atherosclerosis, trauma, congenital conditions such as median arcuate ligament syndrome and iatrogenic causes.

Etiology for abdominal pain is extensive. Patients should be evaluated for both intra-abdominal and extra-abdominal causes for pain, as presentations of a different pathophysiology vary widely. CT scan has become a mainstay part of the work for abdominal pain in the Emergency department, and often elicit pathologies that would otherwise be missed on blood work and other …

Three-Heartbeat Multilead Ecg Recognition Method For Arrhythmia Classification, Liang-Hung Wang, Yan-Ting Yu, Wei Liu, Lu Xu, Chao-Xin Xie, Tao Yang, I-Chun Kuo, Xin-Kang Wang, Jie Gao, Patricia Angela R. Abu

Department of Information Systems & Computer Science Faculty Publications

Electrocardiogram (ECG) is the primary basis for the diagnosis of cardiovascular diseases. However, the amount of ECG data of patients makes manual interpretation time-consuming and onerous. Therefore, the intelligent ECG recognition technology is an important means to decrease the shortage of medical resources. This study proposes a novel classification method for arrhythmia that uses for the very first time a three-heartbeat multi-lead (THML) ECG data in which each fragment contains three complete heartbeat processes of multiple ECG leads. The THML ECG data pre-processing method is formulated which makes use of the MIT-BIH arrhythmia database as training samples. Four arrhythmia classification …

Reducing 30 Day Chf Readmission Rates: Evaluating Medication Efficacy, Jesse Bebout Msn, Rn, Ccrn, Brandon May Bsn, Rn, Tiara Richmond Bsn, Rn, Margaret Harvey Phd, Aprn, Acnp-Bc, Chfn

Doctor of Nursing Practice Projects

Purpose/Background Heart failure (HF) is a leading cause of hospital readmissions and lost revenue under the Hospital Readmission Reduction Program (HRRP). Medication management plays a crucial role in controlling HF symptoms leading to hospitalization. This scoping review examines the benefits of angiotensin receptor-neprilysin inhibitors versus beta-blockers in reducing hospital readmissions within 30 days of discharge related to heart failure with reduced ejection fraction (HFrEF) in the United States.

Methods We conducted a literature search from August 2020 to November 2021 on the Google Scholar, PubMed, and CINAHL databases using the key phrases heart failure with reduced ejection, beta-blockers, angiotensin receptor-neprilysin …

Electrocardiogram-Based Machine Learning Emulator Model For Predicting Novel Echocardiography-Derived Phenogroups For Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study, Heenaben B. Patel, Naveena Yanamala, Brijesh Patel, Sameer Raina, Peter D. Farjo, Srinidhi Sunkara, Márton Tokodi, Nobuyuki Kagiyama, Grace Casaclang-Verzosa, Partho P. Sengupta

Journal of Patient-Centered Research and Reviews

Purpose: Electrocardiography (ECG)-derived machine learning models can predict echocardiography (echo)-derived indices of systolic or diastolic function. However, systolic and diastolic dysfunction frequently coexists, which necessitates an integrated assessment for optimal risk-stratification. We explored an ECG-derived model that emulates an echo-derived model that combines multiple parameters for identifying patient phenogroups at risk for major adverse cardiac events (MACE).

Methods: In this substudy of a prospective, multicenter study, patients from 3 institutions (n = 727) formed an internal cohort, and the fourth institution was reserved as an external test set (n = 518). A previously validated patient similarity analysis model was used …

Stroke Network Of Wisconsin (Snow) Scale Predicts Large Vessel Occlusion Stroke In The Prehospital Setting, Kessarin Panichpisal, Sarah Erpenbeck, Paul Vilar, Reji P. Babygirija, Maharaj Singh, M. Riccardo Colella, Richard A. Rovin

Journal of Patient-Centered Research and Reviews

Purpose: In previous trials, the Stroke Network of Wisconsin (SNOW) scale accurately predicted large vessel occlusion (LVO) stroke in the hospital setting. This study evaluated SNOW scale performance in the prehospital setting and its ability to predict LVO or distal medium vessel occlusion (DMVO) in patients suspected of having acute ischemic stroke (AIS), a scenario in which transport time to an endovascular treatment-capable facility (ECSC) is critical.

Methods: All potential AIS patients with last-known-well time of ≤ 24 hours were assessed by Milwaukee County Emergency Medical Services for LVO using SNOW. Patients with a positive SNOW score were transferred to …

Temporary Epicardial Pacing Wires In Isolated Coronary Artery Bypass Graft: Necessity Or Force Of Habit?, Mian Mustafa Kamal, Abdul Ahad Sohail, Majid Osman, Shiraz Hashmi, Muhammad Mehdi, Asma Altaf Hussain Merchant, Hasanat Sharif

Section of Cardiothoracic Surgery

Objective: To determine the frequency of Temporary epicardial pacing wires usage and its predictors in the immediate postoperative period in isolated coronary artery bypass graft surgery.
Methods: The longitudinal study was conducted at the Aga Khan University Hospital, Karachi, from September 2019 to August 2020, and comprised adult patients of either gender who underwent isolated coronary artery bypass graft in the Department of Cardiothoracic Surgery. Demographic, peri-operative and post-operative Temporary Epicardial Pacing Wires use data was extracted from patient's files and the institutional electronic database. Logistic regression models were built to explore predictors of Temporary epicardial pacing wires usage. Data …

A Rare Case Of Splenic Artery Thrombosis Provoked By Medroxyprogesterone Acetate (Dmpa) Requiring Splenectomy, Raghav Bassi, Asad Haider, Pranav Prakash, Abdullahi Hussein, Hamza Alzghoul, Muhammad Bilal, Anuoluwa Oyetoran, Uma Iyer

North Florida Division GME Research Day 2022

No abstract available.

Improving Efficiency Of Locating Consultants Outpatient Contact Information, Derek Pride, Anthony Shadiack

South Atlantic Division GME Research Day 2022

No abstract provided.

Participant Use Of Digital Diaries In Qualitative Research: A Strong Structuration Analysis, Maureen L. Seguin, Jhaki A. Mendoza, Eunice Mallari, Gideon Lasco, Arianna Maever L. Amit, Lia M. Palileo-Villanueva, Benjamin Palafox, Alicia Renedo, Martin Mckee, Dina Balabanova

Development Studies Faculty Publications

Lived experiences of chronic conditions are marked by fluidity and change, which should be considered if care is to be truly patient-centered. Seeking to capture this fluidity, we used digital diaries via mobile phones to communicate with hypertensive patients in the Philippines over approximately 12 months. This paper draws on Strong Structuration Theory to conceptualize the complex array of factors shaping participants’ usage (and non-usage) of the diaries, thereby offering a comprehensive understanding of how the diaries were perceived and used. We draw on qualitative data from 42 participants (73 baseline/follow-up interviews and 37 digital diaries), purposively selected from a …

Implementation Of Standardized Protocols For Office Blood Pressure Measurement, Steven Nevers, Alice Tran, Carol Gambrill, Anush Pillai

Gulf Coast Division GME Research Day 2022

No abstract provided.

A Case Of Protein Losing Enteropathy After Fontan Operation, Gina Kim

Capstone Showcase

Protein Losing Enteropathy (PLE) is a condition in which an excessive amount of proteins are lost through the gastrointestinal tract leading to hypoproteinemia and manifesting as edema, ascites, and diarrhea. While in most cases PLE is a treatable disorder with good outcomes, the morbidity and mortality of the disorder is significantly elevated in patients with a history of Fontan surgery–an operation used to palliate patients born with a single ventricle by rerouting venous blood return directly to pulmonary circulation. After failure of first-line therapeutics of diuretics and steroids, this case study explores the successful treatment of a 5-year-old patient with …

Self-Measured Blood Pressure Monitoring: A Patient Empowerment Project, Alison Cusmano

Doctor of Nursing Practice Final Manuscripts

Hypertension is a public health issue estimated to affect 112 million adults by 2030. Primary care patients in an outpatient clinic in Southern California with elevated blood pressure readings in the office did not have an organized system for close follow-up. The purpose of this evidence-based project (EBP) was to educate patients on self-measured blood pressure monitoring (SMBP), Dietary Approaches to Stop Hypertension (DASH), diet interventions, and healthy weight loss to improve hypertension rates. Through these interventions, patients developed an understanding of their systolic and diastolic blood pressure goals. Nurse practitioners, medical assistants, and licensed vocational nurses screened for high …

(De)Constructing ‘Therapeutic Itineraries’ Of Hypertension Care: A Qualitative Study In The Philippines, Jhaki A. Mendoza, Gideon Lasco, Alicia Renedo, Lia M. Palileo-Villanueva, Maureen L. Seguin, Benjamin Palafox, Arianna Maever L. Amit, Veincent Christian F. Pepito, Martin Mckee, Dina Balabanova

Development Studies Faculty Publications

Hypertension, a major risk factor for non-communicable diseases, remains poorly controlled in many countries. In the Philippines, it is still one of the leading causes of preventable deaths despite the accessibility and availability of essential technologies and medicine to detect and treat hypertension. This paper characterizes the ‘therapeutic itineraries’ of people with hypertension from poor communities in rural and urban settings in the Philippines. We employ longitudinal qualitative methodology comprised of repeat interviews and digital diaries using mobile phones from 40 recruited participants in 12 months. Our findings demonstrate that therapeutic itineraries, rather than being organized according to categories that …