Format

Send to

Choose Destination
Pharmacoepidemiol Drug Saf. 2019 Feb;28(2):140-147. doi: 10.1002/pds.4567. Epub 2018 Jun 20.

Accuracy of electronic health record data for the diagnosis of chronic obstructive pulmonary disease in persons living with HIV and uninfected persons.

Author information

1
Department of Medicine, University of Washington, Seattle, WA, USA.
2
Mid-Atlantic Permanente Research Institute Kaiser Permanente Mid-Atlantic States, Rockville, MD, USA.
3
Department of Medicine, Veterans Affairs (VA) Connecticut Healthcare System and Yale University, West Haven, CT, USA.
4
Department of Medicine, James J. Peters VA Medical Center and Icahn School of Medicine at Mt. Sinai, New York, NY, USA.
5
Department of Medicine, VA Greater Los Angeles Healthcare System and David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
6
Department of Medicine, Michael E. DeBakey VA Medical Center and Baylor College of Medicine, Houston, TX, USA.

Abstract

PURPOSE:

No prior studies have addressed the performance of electronic health record (EHR) data to diagnose chronic obstructive pulmonary disease (COPD) in people living with HIV (PLWH), in whom COPD could be more likely to be underdiagnosed or misdiagnosed, given the higher frequency of respiratory symptoms and smoking compared with HIV-uninfected (uninfected) persons.

METHODS:

We determined whether EHR data could improve accuracy of ICD-9 codes to define COPD when compared with spirometry in PLWH vs uninfected, and quantified level of discrimination using the area under the receiver-operating curve (AUC). The development cohort consisted of 350 participants who completed research spirometry in the Examinations of HIV Associated Lung Emphysema (EXHALE) study, a pulmonary substudy of the Veterans Aging Cohort Study. Results were externally validated in 294 PLWH who performed spirometry for clinical indications from the University of Washington (UW) site of the Centers for AIDS Research Network of Integrated Clinical Systems cohort.

RESULTS:

ICD-9 codes performed similarly by HIV status, but alone were poor at discriminating cases from non-cases of COPD when compared with spirometry (AUC 0.633 in EXHALE; 0.651 in the UW cohort). However, algorithms that combined ICD-9 codes with other clinical variables available in the EHR-age, smoking, and COPD inhalers-improved discrimination and performed similarly in EXHALE (AUC 0.771) and UW (AUC 0.734).

CONCLUSIONS:

These data support that EHR data in combination with ICD-9 codes have moderately good accuracy to identify COPD when spirometry data are not available, and perform similarly in PLWH and uninfected individuals.

KEYWORDS:

HIV; area under curve; chronic obstructive pulmonary disease; electronic health records; pharmacoepidemiology; pulmonary disease; smoking

PMID:
29923258
PMCID:
PMC6309326
[Available on 2020-02-01]
DOI:
10.1002/pds.4567

Supplemental Content

Full text links

Icon for Wiley
Loading ...
Support Center