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Cardiovascular Diseases Commons

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Full-Text Articles in Cardiovascular Diseases

Prevalence Of Type A And Type B Personality Among Undergraduate Nursing Students At Private School Of Nursing Karachi Pakistan: A Cross-Sectional Analytical Study, Farhana Shaheen Nov 2023

Prevalence Of Type A And Type B Personality Among Undergraduate Nursing Students At Private School Of Nursing Karachi Pakistan: A Cross-Sectional Analytical Study, Farhana Shaheen

Theses & Dissertations

Background: Academic institutions strive for exceptional graduates. However, personality and learning psychology affect student performance. Type A personality students may develop heart palpitations due to impatience and stress. They are less sociable than Type B personalities but more idealistic, competitive, and deadline oriented. These disparities among personalities may impair their academic and job success, especially in healthcare, where interpersonal skills are vital.
Aims: The primary aim of the study was to find out the prevalence of Type A and Type B personality among undergraduate nursing students and to find the association between personality Types and academic years.
Methodology: In this …


Acute Myocardial Infarction From A Lower-Middle Income Country-A Comprehensive Report On Performance Measures And Quality Metrics Using National Cardiovascular Data Registry, Farhala Mari Baloch, Ainan Arshad, Sher Sethi, Javed Tai Nov 2023

Acute Myocardial Infarction From A Lower-Middle Income Country-A Comprehensive Report On Performance Measures And Quality Metrics Using National Cardiovascular Data Registry, Farhala Mari Baloch, Ainan Arshad, Sher Sethi, Javed Tai

Section of Cardiology

Introduction: Epidemic of cardiovascular disease (CVD) is widely projected in South Asian population and estimated to get double in two decades. Ischemic heart disease (IHD) is one of the spectrums of CVD and acute myocardial infarction (AMI) being the common manifestations of IHD. National Cardiovascular Data Registry (NCDR) is a registry data that measure their practices and improve quality of care. In this project we aim to see our performance trends in the care of IHD including AMI patients over two year's period.
Material & methods: A cross sectional study conducted at the Aga Khan University Hospital, Karachi, Pakistan. All …


Development Of A Biomarker Panel For Assessing Cardiovascular Risk In Diabetic Patients With Chronic Limb-Threatening Ischemia (Clti): A Prospective Study, Elisabetta Nardella, Federico Biscetti, Maria Margherita Rando, Andrea Leonardo Cecchini, Maria Anna Nicolazzi, Enrica Rossini, Flavia Angelini, Roberto Iezzi, Luis H. Eraso, Paul J. Dimuzio, Dario Pitocco, Massimo Massetti, Antonio Gasbarrini, Andrea Flex Jun 2023

Development Of A Biomarker Panel For Assessing Cardiovascular Risk In Diabetic Patients With Chronic Limb-Threatening Ischemia (Clti): A Prospective Study, Elisabetta Nardella, Federico Biscetti, Maria Margherita Rando, Andrea Leonardo Cecchini, Maria Anna Nicolazzi, Enrica Rossini, Flavia Angelini, Roberto Iezzi, Luis H. Eraso, Paul J. Dimuzio, Dario Pitocco, Massimo Massetti, Antonio Gasbarrini, Andrea Flex

Department of Medicine Faculty Papers

BACKGROUND: Lower-extremity endovascular revascularization (LER) is often required for diabetic patients with chronic limb threatening ischemia (CLTI). During the post-revascularization period patients may unpredictably experience major adverse cardiac events (MACE) and major adverse limb events (MALE). Several families of cytokines are involved in the inflammatory process that underlies the progression of atherosclerosis. According to current evidence, we have identified a panel of possible biomarkers related with the risk of developing MACE and MALE after LER. The aim was to study the relationship between a panel of biomarkers - Interleukin-1 (IL-1) and 6 (IL-6), C-Reactive Protein (CRP), Tumor Necrosis Factor-α (TNF-α), …


H2s, Sg-1002, Protects Against Myocardial Oxidative Damage And Hypertrophy In Vitro Via Induction Of Cystathionine Β-Synthase And Antioxidant Proteins, Rahib K. Islam, Erinn Donnelly, Erminia Donnarumma, Fokhrul Hossain, Jason D. Gardner, Kazi N. Islam Feb 2023

H2s, Sg-1002, Protects Against Myocardial Oxidative Damage And Hypertrophy In Vitro Via Induction Of Cystathionine Β-Synthase And Antioxidant Proteins, Rahib K. Islam, Erinn Donnelly, Erminia Donnarumma, Fokhrul Hossain, Jason D. Gardner, Kazi N. Islam

School of Medicine Faculty Publications

Endogenously produced hydrogen sulfide (H2S) is critical for cardiovascular homeostasis. Therapeutic strategies aimed at increasing H2S levels have proven cardioprotective in models of acute myocardial infarction (MI) and heart failure (HF). The present study was undertaken to investigate the effects of a novel H2S prodrug, SG-1002, on stress induced hypertrophic signaling in murine HL-1 cardiac muscle cells. Treatment of HL-1 cells with SG-1002 under serum starvation without or with H2O2 increased the levels of H2S, H2S producing enzyme, and cystathionine β-synthase (CBS), as well as antioxidant protein levels, such as super oxide dismutase1 (SOD1) and catalase, and additionally decreased oxidative …


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 Jan 2023

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 …