Automated identification of an aspirin-exacerbated respiratory disease cohort.

ABSTRACT:

Background

Aspirin-exacerbated respiratory disease (AERD) is characterized by 3 clinical features: asthma, nasal polyposis, and respiratory reactions to cyclooxygenase-1 inhibitors (nonsteroidal anti-inflammatory drugs). Electronic health records (EHRs) contain information on each feature of this triad.

Objective

We sought to determine whether an informatics algorithm applied to the EHR could electronically identify patients with AERD.

Methods

We developed an informatics algorithm to search the EHRs of patients aged 18 years and older from the Partners Healthcare system over a 10-year period (2004-2014). Charts with search terms for asthma, nasal polyps, and record of respiratory (cohort A) or unspecified (cohort B) reactions to nonsteroidal anti-inflammatory drugs we

SUBMITTER: Cahill KN 

PROVIDER: S-EPMC5266739 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature