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Assessing coronary disease in symptomatic women by the Morise score

Susie N Hong1, Jennifer H Mieres, Jill E Jacobs

  • 1Department of Medicine, Division of Cardiology, New York University School of Medicine, New York, New York 10016, USA. snh73@yahoo.com

Journal of Women'S Health (2002)
|May 16, 2012
PubMed

Insights

The Morise score is a more accurate tool than the Diamond-Forrester score for assessing coronary artery disease (CAD) risk in women. This simple clinical risk score improves the identification of women who need further cardiac evaluation.

Area of Science:

  • Cardiology
  • Medical Diagnostics
  • Risk Assessment

Background:

  • Early detection of coronary artery disease (CAD) in women is crucial due to poorer outcomes compared to men.
  • The study investigates the Morise score, a clinical risk assessment tool, for evaluating CAD in symptomatic women.

Purpose of the Study:

  • To assess the diagnostic value of the Morise score for CAD using computed tomography coronary angiography (CTCA).
  • To compare the performance of the Morise score against the established Diamond-Forrester risk assessment tool in women.

Main Methods:

  • 140 women with chest pain syndromes underwent CTCA for CAD assessment.
  • Patients were stratified for CAD risk using both Morise and Diamond-Forrester scores.
  • Coronary artery stenosis and total coronary calcium were quantified via CTCA and Agatston scores.

Main Results:

  • The Morise score showed a significant correlation with coronary calcium scores and the presence/degree of CAD.
  • Morise score demonstrated higher accuracy (66% vs. 48%) and sensitivity (56% vs. 16%) compared to Diamond-Forrester.
  • Diamond-Forrester stratified a higher percentage of women into low-risk categories (7% vs. 5%) compared to Morise.

Conclusions:

  • The Morise score outperformed the Diamond-Forrester score in assessing CAD risk in women.
  • A simple history and physical examination, as utilized by the Morise score, are powerful tools for identifying women at risk for CAD.
Abstract

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