[Role of coronary angiography in decreasing cardiac complications rate during vascular operations]

Insights

Preoperative coronary angiography reveals high rates of coronary artery lesions in patients undergoing cardiac surgery. Clinical risk factors do not fully predict lesion severity, suggesting cautious use of risk stratification tools.

Area of Science:

  • Cardiology
  • Vascular Surgery
  • Diagnostic Imaging

Background:

  • Assessing coronary artery lesions is crucial for patients undergoing cardiac vascular surgery.
  • Preoperative risk stratification aims to identify patients at higher risk of complications.

Purpose of the Study:

  • To evaluate the prevalence of coronary artery lesions in patients with varying clinical cardiovascular risk factors before cardiac vascular surgery.
  • To determine the effectiveness of the Lee index in identifying prognostically unfavorable coronary artery lesions.

Main Methods:

  • Retrospective analysis of 392 patient case histories undergoing coronary angiography (CAG) before surgery.
  • Patients were stratified into four groups based on the number of clinical risk factors (0, 1, 2, 3+).
  • Prevalence and significance of coronary artery lesions were assessed, alongside rates of myocardial revascularization and postoperative outcomes.

Main Results:

  • Coronary artery lesions were present in 91% of patients.
  • Hemodynamically significant lesions increased with the number of clinical risk factors, observed in 15.6% (0 factors) to 42.2% (3+ factors).
  • The Lee index underestimated the prevalence of unfavorable coronary lesions in a significant portion of patients.

Conclusions:

  • Clinical risk stratification using the Lee index may not adequately identify all patients with significant coronary artery disease prior to cardiac vascular surgery.
  • A cautious approach is recommended when using the Lee index for preoperative risk assessment in this population.
  • Further refinement of preoperative risk assessment strategies is warranted to improve patient selection and management.

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