Why the study?
Women present more commonly with atypical angina, false-positive exercise tests, and normal/nonobstructive coronary angiograms, making it essential to identify predictors of obstructive CAD to avoid unnecessary invasive angiograms.
Clinical and biochemical risk factors such as typical angina, age >55, smoking, diabetes, hypertension, and dyslipidemia can reliably predict obstructive CAD in women, potentially reducing unnecessary invasive angiograms.
May support selective angiography in women; hypothesis-generating and requires prospective validation.
Background: Women present more commonly with atypical angina, false-positive exercise test, and normal/nonobstructive coronary angiogram. It thus becomes essential to identify the predictors of obstructive coronary artery disease (CAD) in women to avoid unnecessary invasive angiograms. Methods: We prospectively recorded the data of consecutive 578 women who underwent coronary angiography in our institute for typical/atypical chest pain suspected to be secondary to CAD. Results: Normal coronaries/nonobstructive CAD were seen in 273 (47.2%) patients, whereas 305 (52.8%) patients were found to have obstructive CAD (P < 0.0001). On multivariate logistic regression analysis, the presence of typical angina, age >55 years, smoking, diabetes mellitus, hypertension, low-density lipoprotein cholesterol >150 mg/dl, and high-density lipoprotein cholesterol <40 mg/dl were found to be independent predictors of obstructive CAD. Conclusion: These risk predictors can help in the reliable assessment of pretest likelihood of obstructive CAD in women, thereby avoiding many unnecessary invasive coronary angiograms. Further larger studies are warranted to validate these results and propose accurate prediction models for the diagnosis of obstructive CAD in women.
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Mahajan et al. (2019) studied this question.
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