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Atherosclerosis II: Clinical Manifestations and Diagnostic Tests01:27

Atherosclerosis II: Clinical Manifestations and Diagnostic Tests

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Atherosclerosis is a progressive disorder that leads to the thickening and narrowing of arterial walls due to plaque buildup. This condition can cause various symptoms depending on the arteries affected:Coronary Artery Disease (CAD): This condition affects the coronary arteries and may lead to chest pain (angina), shortness of breath (dyspnea), heart attacks, and other heart disease symptoms.Cerebrovascular Disease: This affects blood flow to the brain, causing transient ischemic attacks (TIAs)...
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Atherosclerosis is a progressive disorder characterized by the buildup of plaques on the arterial inner wall, causing them to narrow and harden over time. These plaques comprise lipids, calcium, blood components, carbohydrates, and fibrous tissue. The process primarily affects the intima of large and medium-sized arteries, reducing blood flow in any artery.Etiology and risk factorsThe cause of atherosclerosis is multifactorial, involving a complex interplay among endothelial injury, lipid...
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Management of atherosclerosis involves an integrated strategy encompassing pharmacological treatment, surgical interventions, lifestyle changes, and nutrition therapy to address the multifactorial nature of the disease.Pharmacological TherapyA cornerstone of atherosclerosis management is the use of pharmacological agents. Statins, such as atorvastatin, are pivotal in inhibiting HMG-CoA reductase, an enzyme that catalyzes an initial step in cholesterol synthesis in the liver. This reduction in...
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Nursing management for a patient with arteriosclerosis involves a comprehensive approach focusing on lifestyle modification, disease monitoring, education, and symptomatic care. Here is an overview of effective nursing strategies:Assessment and Monitoring: Initial and ongoing assessments are crucial. Nurses must document the patient's medical history, including any hypertension, diabetes, hyperlipidemia, and other cardiovascular diseases. Assessments also cover family history and lifestyle...
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Coronary Artery Disease (CAD): An Overview with Scientific InsightsCoronary Artery Disease (CAD), often referred to as C-A-D, is a prevalent blood vessel disorder classified under the broader category of atherosclerosis. Atherosclerosis is a pathological process characterized by the hardening and narrowing of arteries due to the accumulation of atherosclerotic plaques. These plaques are composed of cholesterol, fatty substances, inflammatory cells, calcium, and fibrin, reducing blood flow to...
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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Related Experiment Video

Updated: Sep 3, 2025

Quantitative Analysis and Characterization of Atherosclerotic Lesions in the Murine Aortic Sinus
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Correlation Analysis of Variables From the Atherosclerosis Risk in Communities Study.

Meisha Mandal1, Josh Levy2, Cataia Ives1

  • 1GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, NC, United States.

Frontiers in Pharmacology
|July 28, 2022
PubMed
Summary
This summary is machine-generated.

This study developed a data-driven method to group related variables from human studies, improving the efficiency of integrating new alternative methods (NAMs) for chemical safety assessment.

Keywords:
ARICcardiovascular diseasecluster analysismeta-analysis as topicsystems biology

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Area of Science:

  • Toxicology
  • Bioinformatics
  • Data Science

Background:

  • New alternative methods (NAMs) are crucial for timely and cost-effective chemical toxicity testing.
  • Existing human study data can enhance the validation of NAMs for chemical safety assessment.
  • Streamlining data integration from human cohorts is essential for robust NAM development.

Purpose of the Study:

  • To programmatically identify and group related variables within existing human cohort studies.
  • To facilitate the integration of human data into the development and validation of NAMs.
  • To enhance the efficiency and accuracy of data curation for chemical safety assessments.

Main Methods:

  • Clustering study variables based on correlation within the Atherosclerosis Risk in Communities (ARIC) study.
  • Evaluating cluster quality using manual review and natural language processing (NLP).
  • Consolidating clusters into groups using the Louvain community finding algorithm.

Main Results:

  • Identified 391 clusters comprising 3,285 variables.
  • Manual review confirmed 95% of multi-variable clusters were related.
  • NLP scoring showed high concordance with human classification, indicating low bias.
  • Cluster groups, identified via Louvain algorithm, demonstrated higher relatedness within groups.

Conclusions:

  • A data-driven approach effectively groups related variables from human studies.
  • This method enhances data harmonization and curation for NAM development.
  • Focusing curator attention on relevant variable groups increases review efficiency.