Bayesian analysis in diagnosing origins of elevated blood pressure

Abstract

Bayesian analysis is a statistical method that is alternative for traditionally implemented ‘frequentist approach’. Bayes’ theorem is a formula that shows how existing and subjective beliefs are modified by objective results of diagnostic tests. From mathematical point of view, Bayes’ theorem states that the probability of outcome occurrence after new information is obtained, called a posteriori probability, depends directly on an a priori probability and the value of likelihood ratio associated with a given test result. Bayesian analysis may be successfully used in everyday clinical practice, also in relation to diagnosis of origins of secondary hypertension. Then, it is based on the results of various diagnostic procedures, including signs and symptoms of the disease, lab findings and imaging techniques. This paper describes usefulness of bayesian analysis in diagnosis of elevated blood pressure values resulting from primary aldosteronism and renal artery stenosis.