BackgroundThe prevalence of coronary artery disease (CAD) in valvular patients is
similar to that of the general population, with the usual association with
traditional risk factors. Nevertheless, the search for obstructive CAD is
more aggressive in the preoperative period of patients with valvular heart
disease, resulting in the indication of invasive coronary angiography (ICA)
to almost all adult patients, because it is believed that coronary artery
bypass surgery should be associated with valve replacement.ObjectivesTo evaluate the prevalence of obstructive CAD and factors associated with it
in adult candidates for primary heart valve surgery between 2001 and 2014 at
the National Institute of Cardiology (INC) and, thus, derive and validate a
predictive obstructive CAD score.MethodsCross-sectional study evaluating 2898 patients with indication for heart
surgery of any etiology. Of those, 712 patients, who had valvular heart
disease and underwent ICA in the 12 months prior to surgery, were included.
The P value < 0.05 was adopted as statistical significance.ResultsThe prevalence of obstructive CAD was 20%. A predictive model of obstructive
CAD was created from multivariate logistic regression, using the variables
age, chest pain, family history of CAD, systemic arterial hypertension,
diabetes mellitus, dyslipidemia, smoking, and male gender. The model showed
excellent correlation and calibration (R² = 0.98), as well as excellent
accuracy (ROC of 0.848; 95%CI: 0.817-0.879) and validation (ROC of 0.877;
95%CI: 0.830 - 0.923) in different valve populations.ConclusionsObstructive CAD can be estimated from clinical data of adult candidates for
valve repair surgery, using a simple, accurate and validated score, easy to
apply in clinical practice, which may contribute to changes in the
preoperative strategy of acquired heart valve surgery in patients with a
lower probability of obstructive disease.
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