Peripheral Arterial Disease - 2012

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.

Phenotype ID: 
16
Status: 
Do Not List on the Collaboration Phenotypes List
Type of Phenotype: 
Authors: 
Iftikhar Kullo
Contact Author: 
Institution: 
Date Created: 
Monday, February 6, 2012
Network Associations: 
Owner Phenotyping Groups: 
View Phenotyping Groups: 
 
 

Suggested Citation

Iftikhar Kullo. Mayo Clinic. Peripheral Arterial Disease - 2012. PheKB; 2012 Available from: https://phekb.org/phenotype/16

PubMed References

20819866

    Comments

    The algorithms says this

    'To define a ‘probable’ PAD case population for further investigation, patients will beet any one of the related codes or presence of indicative phrases in Sections 2-5.'

    What should it say instead of 'beet'?

    Thanks

    The algorithm states

    '

    'To define a ‘definite’ PAD case population, patients will meet the algorithmic vascular lab criteria in Section 1 or will have any of the two related codes or presence of indicative phrases in Sections 2-5.'

    Can you please clarify what 'ANY OF THE TWO RELATED CODES' means? There are many codes listed in sections 2-5, what are the two related codes?

    Thanks

    Submitted by Zi Ye on

    Hi,

    This is an "old" PAD algorithm (eMERGE-1) based on ICD-9 codes and we do think that it a typo. We have recently developed a new PAD-NLP algorithm (https://phekb.org/phenotype/pad-nlp-2017) as part of eMERGE3 phenotypes and it uses natural language processing for identification of PAD patients. This NLP-PAD algorithm is currently being validated by the secodnary sites.

    Thanks

    Zi (Carol)

    Submitted on behalf of Naveed Afzal and Adelaide Arruda-Olson