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Angina I: Introduction01:30

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Definition and Symptoms: Angina (angina pectoris) is chest pain or discomfort caused by myocardial ischemia, which occurs when the heart muscle receives insufficient oxygen-rich blood. It typically manifests as pressing, squeezing, or crushing sensations in the chest and may radiate to the shoulders, arms, neck, jaw, or back.Primary Cause: In a healthy state, the coronary arteries can dilate (widen) to increase blood flow and meet the increased oxygen demand during physical activity or...
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Angina II: Classification01:27

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Angina, also known as angina pectoris, is a chest pain resulting from diminished blood flow to the heart muscle and is often a symptom of coronary artery disease. Angina presents several variants with distinctive attributes, etiologies, and therapeutic approaches. The main types of angina include stable, unstable, variant (Prinzmetal's), microvascular, intractable, and silent ischemia.Stable angina is caused by atherosclerosis, which leads to the formation of plaques that narrow the coronary...
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Angina IV: Management01:26

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IntroductionThe management of angina requires a comprehensive approach that includes pharmacological therapies, medical procedures, and lifestyle modifications.Pharmacological TherapiesAntiplatelet agents, such as aspirin, clopidogrel, prasugrel, and ticagrelor, play a pivotal role in preventing thrombus formation in patients with angina. These medications inhibit platelet aggregation and reduce the likelihood of myocardial infarction and other cardiovascular events.Anticoagulants, including...
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Angina V: Nursing Management01:20

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Angina, a symptom of myocardial ischemia, requires a structured nursing management approach to ensure effective care and prevent complications like myocardial infarction. Comprehensive nursing care involves assessing, diagnosing, planning, implementing interventions, and evaluating outcomes, all tailored to the individual patient's needs.Patient AssessmentNursing assessment begins with a detailed subjective evaluation of symptoms, which typically include chest pain or pressure radiating to the...
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Angina III: Clinical Manifestations and Assessment01:29

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Angina manifests as chest pain, tightness, or squeezing discomfort typically located behind the breastbone. It can radiate to the neck, jaw, shoulders, and inner aspects of the upper arms, most commonly the left arm. Patients may experience shortness of breath, fatigue, profuse sweating, dizziness, indigestion, heartburn, palpitations, anxiety, and vomiting as accompanying symptoms. This pain often lasts a few minutes and is triggered by physical exertion, emotional stress, heavy meals, or cold...
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There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
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Angina Severity, Mortality, and Healthcare Utilization Among Veterans With Stable Angina.

Mina Owlia1, John A Dodson1,2, Jordan B King3,4,5

  • 1Leon H. Charney Division of Cardiology Department of Medicine New York University School of Medicine New York NY.

Journal of the American Heart Association
|August 1, 2019
PubMed
Summary

The Canadian Cardiovascular Society (CCS) angina severity classification, extracted using natural language processing, is linked to increased mortality and healthcare use in veterans. This highlights the prognostic value of documenting angina symptoms.

Keywords:
angina pectorishealthcare utilizationmyocardial revascularizationnatural language processing

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Area of Science:

  • Cardiology
  • Health Informatics
  • Data Science

Background:

  • The Canadian Cardiovascular Society (CCS) angina severity classification is a known predictor of adverse cardiovascular outcomes.
  • Previous studies primarily used clinical trial and registry data to establish these associations.
  • The utility of CCS classification extracted from clinical notes for predicting outcomes in real-world settings remains less explored.

Purpose of the Study:

  • To determine the association between CCS angina severity classes and all-cause mortality.
  • To investigate the relationship between CCS classes and healthcare utilization, including hospitalizations and revascularization procedures.
  • To evaluate the effectiveness of natural language processing (NLP) in extracting CCS classifications from electronic health records.

Main Methods:

  • A retrospective cohort study was conducted on US veterans with stable angina between 2006 and 2013.
  • Natural language processing (NLP) was employed to extract CCS angina severity classifications from clinical notes.
  • Outcomes included all-cause mortality, hospitalizations (all-cause and cardiovascular-specific), coronary revascularization, and healthcare costs.

Main Results:

  • Of 299,577 veterans, 14,216 had CCS classifications extracted by NLP.
  • Higher CCS classes (III and IV) were significantly associated with increased all-cause mortality compared to CCS class I.
  • Increased CCS class also correlated with higher rates of all-cause hospitalization and coronary revascularization (PCI and CABG).

Conclusions:

  • NLP-extracted CCS classification is a valuable tool for assessing prognosis in patients with stable angina.
  • Angina symptom severity, as documented in clinical notes, is a significant independent predictor of mortality and healthcare utilization.
  • Emphasizes the importance of accurate and consistent documentation of angina severity in clinical practice.