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J Thorac Cardiovasc Surg 2005;129:1318-1321
© 2005 The American Association for Thoracic Surgery


Surgery for Acquired Cardiovascular Disease

A validated simple model to predict coexistent coronary disease in patients undergoing mitral valve surgery

Eric Lim, MRCSa,*, Ayyaz Ali, MRCSa, Zain Khalpey, MRCSa, Hutan Ashrafian, MBBSa, Christopher Jackson, PhDc, Ziad Ali, MRCSa, Themis Chamageorgakis, FRCSa, Francis Wells, FRCSb, John Pepper, FRCSa, Anthony DeSouza, FRCSa, Neil Moat, FRCSa

a Department of Cardiothoracic Surgery, Royal Brompton Hospital, London, United Kingdom
b Department of Cardiothoracic Surgery, Papworth Hospital, Cambridge, United Kingdom
c Department of Epidemiology and Public Health, Imperial College School of Medicine and Technology, London, United Kingdom.

Received for publication September 16, 2004; revisions received October 16, 2004; accepted for publication October 28, 2004.

* Address for reprints: Eric Lim, Department of Cardiothoracic Surgery, Papworth Hospital, Cambridge CB3 8RE, United Kingdom. (Email: eric.lim{at}cvsnet.org).

OBJECTIVE: The primary limitation of the American Heart Association/American College of Cardiology guidelines is specificity. To improve the selection process, we proposed a simple additive model including age (1 point for every 5 years above 50), male sex (2 points), hypercholesterolemia (2 points), angina (3 points), and electrocardiographic evidence of ischemia (3 points). We recommend screening angiography at 3 or more points. This model was previously derived from 359 patients at Papworth Hospital.

METHODS: The validation cohort was a consecutive series of patients who underwent mitral valve surgery at the Royal Brompton Hospital. Preoperative coronary angiography reports were obtained, and coronary disease was defined as luminal narrowing of 50% in 2 or more views. Sensitivities and specificities were calculated for the American Heart Association/American College of Cardiology criteria, the simple additive model, and a logistic regression model. Receiver operating characteristic curves were used to validate accuracy and compare discrimination with logistic regression.

RESULTS: From 1998 through 2003, angiographic details were available for 342 (86%) of 396 patients who underwent mitral valve surgery. The sensitivity and specificity of the American Heart Association/American College of Cardiology guidelines were 100% and 5%, respectively; those of the simple additive model were 91% and 44%, respectively; and those of logistic regression were 93% and 41%, respectively. The receiver operating characteristic areas for the simple additive and logistic regression model were 0.78 (95% confidence interval, 0.73–0.84) and 0.80 (95% confidence interval, 0.74–0.85), respectively.

CONCLUSIONS: This is the third independent cohort to highlight the poor specificity of the American Heart Association/American College of Cardiology guidelines. Although high sensitivity is achieved, the cost is the majority of patients requiring screening angiography. Our validated simple model improved the specificity and selection; however, this was achieved at the expense of decreased sensitivity.








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