Peripheral Arterial Disease (PAD) is prevalent with approximately 10-12 million adults in US affected. For those with PAD, morbidity and mortality are high and quality of life is markedly impaired. The genetic basis of PAD is poorly understood and is the focus of the Mayo Clinic Electronic Medical Records and Genomics (eMERGE) Network study.
In this document, we provide pseudocode modeling a standardized diagnostic algorithm for PAD. A set of ‘gold-standard’ rules were developed for the Mayo Clinic population as well as billing rules for transportability to sites without vascular laboratory data. Depending on the values of relevant variables, the rules classify a patient into one of the 2 classes: presence of PAD, and absence of PAD.