A Technique for Analyzing Clinical Data to Provide Patient Management Guidelines

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Abstract
• This article describes a technique for analyzing clinical data in order to guide patient management decisions. The technique is illustrated by considering a specific decision problem encountered in the management of possible meningitis, namely, whether or not to administer antibiotics while awaiting the results of a CSF bacterial culture. Data from 303 patients with meningitis are analyzed in order to determine which combination of clinical variables best discriminates between bacterial and aseptic cases. From these variables, a probability tree is constructed that indicates the probability of bacterial meningitis, depending on a patient's clinical characteristics. In addition to identifying the most important variables, the analysis reveals that a number of tests performed routinely on patients with meningitis are of questionable diagnostic value. (Am J Dis Child 132:25-29, 1978)

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