Making the diagnosis in women with coronary artery disease

G Samman1, P R Marmont, F M Sheridan

  • 1Cardiology Section, LSU School of Medicine, Shreveport, La., USA.

Insights

Diagnosing coronary artery disease in women is challenging due to differing symptoms and physician bias. Early detection through appropriate testing is crucial for effective treatment and reducing high mortality rates in women.

Area of Science:

  • Cardiology
  • Women's Health
  • Diagnostic Imaging

Background:

  • Coronary artery disease (CAD) diagnosis in women presents unique challenges.
  • Physician and public underestimation of CAD prevalence in women contributes to diagnostic delays.
  • Symptom presentation and timing differ between sexes, complicating initial assessment.

Purpose of the Study:

  • To highlight the diagnostic difficulties of coronary artery disease in women.
  • To review various diagnostic modalities and their considerations for female patients.
  • To emphasize the importance of timely diagnosis and risk factor modification in women with CAD.

Main Methods:

  • Discussion of diagnostic challenges in women with suspected coronary artery disease.
  • Overview of stress testing modalities (exercise, pharmacologic) with nuclear or echocardiographic additions.
  • Consideration of advanced imaging techniques like MRI, CT, and PET.
  • Evaluation of factors influencing test selection: pre-test probability, baseline ECG, accuracy, and available expertise.

Main Results:

  • Diagnostic delays in women are influenced by societal perceptions and symptom variability.
  • A range of non-invasive testing options exist, each with specific benefits and limitations.
  • Optimal test selection requires careful consideration of individual patient factors and available resources.

Conclusions:

  • Accurate and timely diagnosis of coronary artery disease in women is critical.
  • Understanding the nuances of CAD presentation and diagnostic tools is vital for clinicians.
  • Prompt identification enables appropriate treatment and risk factor management, mitigating high morbidity and mortality.

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