A modified multifactorial cardiac risk index using a Bayesian approach can assess cardiac risks for patients undergoing noncardiac surgery by converting pretest to posttest probabilities.
Observational (n=1,456)
No
Does a modified multifactorial cardiac risk index accurately assess cardiac risks in patients undergoing noncardiac surgery?
The study presents a modified multifactorial cardiac risk index and nomogram using a Bayesian approach to estimate cardiac risk in patients undergoing noncardiac surgery.
• In this article, we describe a multifactorial cardiac risk index that can be used to assess patients undergoing noncardiac surgery. The index is a modified version of an index that was previously generated by Goldman and coworkers on a set of 1001 consecutive patients and prospectively validated in our clinical setting (a general medical consultation service in a large teaching hospital) on 455 patients. We present a Bayesian approach to assessing cardiac risks by converting average risks for patients undergoing particular surgical procedures (pretest probabilities) to average risks for patients with each index score (posttest probabilities). A simple nomogram is presented for performing such a calculation. (Arch Intern Med1986;146:2131-2134)
A. S. Detsky (Sat,) conducted a observational in Patients undergoing noncardiac surgery (n=1,456). Multifactorial cardiac risk index was evaluated on Cardiac risks. A modified multifactorial cardiac risk index using a Bayesian approach can assess cardiac risks for patients undergoing noncardiac surgery by converting pretest to posttest probabilities.
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