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Related Concept Videos

Acute Coronary Syndrome III: Diagnostic Studies01:30

Acute Coronary Syndrome III: Diagnostic Studies

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...
Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations01:19

Acute Coronary Syndrome II: Pathophysiology and Clinical Manifestations

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...
Myocarditis II: Clinical Features and Diagnostic Tests01:27

Myocarditis II: Clinical Features and Diagnostic Tests

Myocarditis is an inflammation of the heart muscle. The symptoms vary widely, encompassing asymptomatic presentations to severe, acute manifestations.Clinical PresentationAsymptomatic cases: In some instances, myocarditis may be asymptomatic, with the infection resolving without intervention. These cases often go undetected unless discovered incidentally through diagnostic imaging or tests conducted for other reasons.General Early Symptoms: Early symptoms of myocarditis are non-specific and can...
Coronary Artery Disease III: Clinical Manifestations01:30

Coronary Artery Disease III: Clinical Manifestations

Coronary Artery Disease (CAD) is a primary health risk worldwide, leading to significant morbidity and mortality. The condition arises from the buildup of atherosclerotic plaques within the coronary arteries, resulting in diminished blood supply to the heart muscle.The clinical manifestations of CAD vary widely, from asymptomatic stages to severe, life-threatening conditions. Understanding these manifestations is crucial for early diagnosis and effective management.Angina Pectoris: The Warning...
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
Coronary Artery Disease II: Pathophysiology01:26

Coronary Artery Disease II: Pathophysiology

Coronary Artery Disease (CAD) originates from a series of events that impair the function of coronary arteries, the blood vessels responsible for delivering oxygen-rich blood to the heart muscle. The pathophysiology of CAD is closely linked to atherosclerosis, a chronic inflammatory and lipid-driven condition affecting the vascular endothelium.1. Endothelial DamageThe process begins with damage to the vascular endothelium, which serves as a protective barrier between the blood and the vessel...

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Updated: Jun 18, 2026

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
10:03

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty

Published on: January 28, 2020

Platelet FcɣRIIa Expression Refines Clinical Risk Assessment After Myocardial Infarction.

David J Schneider1, Sean R McMahon2, Dominick J Angiolillo3

  • 1Department of Medicine, Cardiovascular Research Institute, The University of Vermont, Burlington, Vermont, USA.

Catheterization and Cardiovascular Interventions : Official Journal of the Society for Cardiac Angiography & Interventions
|June 17, 2026
PubMed
Summary
This summary is machine-generated.

Quantifying platelet Fc gamma RIIa (pFCG) expression in myocardial infarction (MI) patients helps stratify risk. The pFCG test refines prognosis beyond clinical risk factors, aiding treatment strategy decisions.

Keywords:
biomarkercardiovascularplateletprognosis

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Microfluidics in Assessing Platelet Function
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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
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Published on: January 28, 2020

Microfluidics in Assessing Platelet Function
06:47

Microfluidics in Assessing Platelet Function

Published on: November 8, 2024

Area of Science:

  • Cardiology
  • Immunology
  • Clinical Risk Stratification

Background:

  • Myocardial infarction (MI) risk stratification is crucial for patient outcomes.
  • Platelet Fc gamma RIIa (pFCG) expression is a potential biomarker for adverse events post-MI.
  • Existing clinical risk factors alone may not fully capture individual patient risk.

Purpose of the Study:

  • To evaluate the prognostic value of clinical risk factors in MI patients.
  • To assess the added prognostic value of the pFCG test in combination with clinical risk.
  • To determine if pFCG testing can refine risk stratification and guide treatment strategies.

Main Methods:

  • A prospective, non-interventional trial enrolled 749 patients hospitalized with type 1 MI.
  • Inclusion criteria required at least two clinical risk factors (e.g., age ≥65, multi-vessel CAD, prior MI, CKD, diabetes).
  • Platelet Fc gamma RIIa (pFCG) expression was quantified by flow cytometry; high and low expression were defined by a threshold. The primary endpoint was a composite of MI, stroke, and death.

Main Results:

  • Patients with more clinical risk factors exhibited a higher risk of subsequent MI, stroke, or death within one year.
  • The event rates were 10.2% (2 factors), 14.4% (3 factors), and 35.6% (4-5 factors).
  • The pFCG test identified distinct higher-risk and lower-risk cohorts across all levels of clinical risk.

Conclusions:

  • Both clinical risk assessment and the pFCG test are prognostic indicators in MI patients.
  • The pFCG test provides incremental prognostic information, refining risk stratification beyond clinical factors alone.
  • The pFCG test may serve as a valuable tool for balancing ischemic and bleeding risks to optimize treatment strategies.