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Related Concept Videos

Acute Coronary Syndrome I: Introduction01:30

Acute Coronary Syndrome I: Introduction

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Acute Coronary Syndrome (ACS) encompasses a spectrum of heart conditions caused by sudden obstruction of coronary arteries, typically resulting from the rupture of an atherosclerotic plaque and subsequent thrombus (blood clot) formation. This obstruction can lead to partial or complete blockage of blood flow, causing varying degrees of myocardial ischemia or infarction.ACS includes the following clinical entities:Unstable Angina (UA)Non-ST-Elevation Myocardial Infarction (NSTEMI)ST-Elevation...
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Acute Coronary Syndrome V: Nursing Management01:26

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Nursing Assessment:Nursing management of acute coronary syndrome (ACS) involves taking the patient's history, focusing on primary complaints such as chest pain, dyspnea, and excessive sweating (diaphoresis), as well as other symptoms like back or jaw pain, nausea, vomiting, palpitations, dizziness, and fatigue. The nurse also reviews the patient's history of cardiac events, risk factors such as hypertension, diabetes, smoking, family history, and current medications.In the objective assessment,...
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Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

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Diagnosing acute coronary syndrome or ACS begins with a thorough patient history. Notable symptoms include central, crushing chest pain radiating to the left arm, neck, jaw, or back, along with shortness of breath, sweating (diaphoresis), nausea, vomiting, dizziness, and palpitations.It is crucial to note any history of cardiac illnesses and assess risk factors, including age, gender, smoking, hypertension, diabetes, hyperlipidemia, and a sedentary lifestyle.During physical examination, vital...
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Acute Coronary Syndrome IV: Interprofessional Care01:28

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IntroductionThe management of Acute Coronary Syndrome (ACS) aims to minimize myocardial damage, preserve myocardial function, and prevent complications.Initial ManagementInpatient management involves continuous cardiac monitoring, preferably in an ICU, focusing on blood pressure, serum sodium, potassium, and creatinine levels, and urine output. Ongoing pharmacologic management is crucial for stabilizing the patient.Supplemental Oxygen: Administer supplemental oxygen if oxygen saturation is...
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Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations01:19

Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations

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The pathophysiology of Acute Coronary Syndrome [ACD] involves several key processes:The main underlying cause of ACD is atherosclerosis, a chronic inflammatory disease characterized by the buildup of lipid-laden plaques within the coronary arteries.As the atherosclerotic plaque grows in the coronary artery, it may become unstable due to the formation of a lipid-rich core and a thin fibrous cap. Inflammatory cells within the plaque, such as macrophages, secrete enzymes that degrade the...
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Related Experiment Video

Updated: Jan 30, 2026

A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
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A Wearable Infrared Sensor for Detecting Non-ST Segment Elevation Acute Coronary Syndromes.

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    A novel infrared biosensor offers a bloodless, electrode-free method for diagnosing non-ST-segment elevation acute coronary syndrome (NSTE-ACS). This technology shows promise for rapid, point-of-care risk stratification, potentially improving patient outcomes.

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    Area of Science:

    • Cardiovascular Medicine
    • Biomedical Engineering
    • Artificial Intelligence in Healthcare

    Background:

    • Conventional diagnosis of non-ST-segment elevation acute coronary syndrome (NSTE-ACS) relies on electrocardiography and serial blood biomarkers.
    • There is a need for non-invasive, rapid, and accessible diagnostic tools for early NSTE-ACS risk stratification.

    Purpose of the Study:

    • To evaluate a novel, non-invasive, bloodless, and electrode-free diagnostic strategy for NSTE-ACS using a wrist-worn infrared spectrophotometric biosensor (Infrasensor).
    • To assess the Infrasensor's performance in detecting high-grade coronary obstruction and predicting adverse outcomes in patients with suspected NSTE-ACS.

    Main Methods:

    • Prospective, multicenter study involving 595 patients with suspected NSTE-ACS across 13 sites.
    • Development and validation of machine learning models using data from the Infrasensor.
    • External validation using a leave-one-cohort-out approach with 200 multi-ethnic controls.

    Main Results:

    • A machine learning model detected high-grade coronary obstruction with an AUC of 0.87 (95% CI: 0.84-0.90), 90% specificity, and 84% positive predictive value.
    • The model's performance surpassed standard risk scores in detecting coronary obstruction.
    • A secondary model predicted 30-day freedom from NSTE-ACS and adverse outcomes with an AUC of 0.89 (95% CI: 0.87-0.92), 99% sensitivity, and 96% negative predictive value.

    Conclusions:

    • The Infrasensor demonstrates significant potential as a rapid, scalable point-of-care tool for early risk stratification in NSTE-ACS.
    • This bloodless, electrode-free technology offers a promising alternative to conventional diagnostic methods.
    • Further implementation could enhance timely diagnosis and management of NSTE-ACS patients.