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Factors associated with abnormal spirometry among HIV-infected individuals.
- Author(s): Drummond, M Bradley
- Huang, Laurence
- Diaz, Philip T
- Kirk, Gregory D
- Kleerup, Eric C
- Morris, Alison
- Rom, William
- Weiden, Michael D
- Zhao, Enxu
- Thompson, Bruce
- Crothers, Kristina
- et al.
Published Web Locationhttp://ucelinks.cdlib.org:8888/sfx_local?issn=0269-9370&id=doi:10.1097/QAD.0000000000000750&spage=1691&volume=29&issue=13&date=2015
No data is associated with this publication.
ObjectiveHIV-infected individuals are susceptible to development of chronic lung diseases, but little is known regarding the prevalence and risk factors associated with different spirometric abnormalities in this population. We sought to determine the prevalence, risk factors and performance characteristics of risk factors for spirometric abnormalities among HIV-infected individuals.
DesignCross-sectional cohort study.
MethodsWe analyzed cross-sectional US data from the NHLBI-funded Lung-HIV consortium - a multicenter observational study of heterogeneous groups of HIV-infected participants in diverse geographic sites. Logistic regression analysis was performed to determine factors statistically significantly associated with spirometry patterns.
ResultsA total of 908 HIV-infected individuals were included. The median age of the cohort was 50 years, 78% were men and 68% current smokers. An abnormal spirometry pattern was present in 37% of the cohort: 27% had obstructed and 10% had restricted spirometry patterns. Overall, age, smoking status and intensity, history of Pneumocystis infection, asthma diagnosis and presence of respiratory symptoms were independently associated with an abnormal spirometry pattern. Regardless of the presence of respiratory symptoms, five HIV-infected participants would need to be screened with spirometry to diagnose two individuals with any abnormal spirometry pattern.
ConclusionsNearly 40% of a diverse US cohort of HIV-infected individuals had an abnormal spirometry pattern. Specific characteristics including age, smoking status, respiratory infection history and respiratory symptoms can identify those at risk for abnormal spirometry. The high prevalence of abnormal spirometry and the poor predictive capability of respiratory symptoms to identify abnormal spirometry should prompt clinicians to consider screening spirometry in HIV-infected populations.
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