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[Indications for coronary angiography in patients with acquired heart valve diseases with reference to risk factors]

Zeitschrift Fur Kardiologie
|May 1, 1987
PubMed

Insights

Coronary artery disease (CAD) affects 9% of patients with acquired valvular heart disease, particularly those over 50. Typical chest pain is a strong indicator of CAD in these patients.

Area of Science:

  • Cardiology
  • Cardiovascular Diseases
  • Valvular Heart Disease

Background:

  • Acquired valvular heart disease is common and can be associated with coronary artery disease (CAD).
  • Identifying non-invasive markers for CAD in valvular heart disease patients is crucial for risk stratification.

Purpose of the Study:

  • To determine the frequency of CAD in patients with acquired valvular heart disease.
  • To identify clinical and biochemical parameters that predict significant coronary artery stenosis without invasive procedures.

Main Methods:

  • Retrospective analysis of 266 consecutive patients with acquired valvular heart disease (aortic, mitral, or combined lesions).
  • Evaluation of patient demographics, clinical presentation (chest pain), lipid profiles, and presence of significant coronary artery stenosis (≥50% diameter reduction).

Main Results:

  • 9% of patients (24/266) had significant CAD.
  • CAD prevalence increased with age (13% in patients >50 years vs. 1% <50 years), higher in men (19%) than women (7%).
  • Typical chest pain was associated with CAD in 30% of cases, significantly higher than in patients without angina (5%) or with atypical chest pain (4%).
  • Elevated cholesterol/triglycerides were more frequent in patients with CAD.
  • 62% of patients with typical chest pain and mitral valve disease had CAD.
  • No CAD was found in female patients without typical angina or in patients without typical angina and risk factors.

Conclusions:

  • Coronary artery disease is prevalent in patients with acquired valvular heart disease, especially older individuals and men.
  • Typical chest pain is a significant predictor of CAD in this population.
  • Non-invasive assessment, including clinical symptoms and risk factors, can aid in identifying patients who may require further investigation for CAD.

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