ArticleAsthma research and practice2019
Factors associated with exacerbations among adults with asthma according to electronic health record data.
Article in Asthma research and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Augmenting electronic health record data with social and environmental determinant of health measures to understand regional factors associated with asthma exacerbations.PLOS digital health · 2025Article
- Racial differences in odds of asthma exacerbations among Aspergillus fumigatus-sensitized adults with asthma.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2025Article
- Risk Factors for Acute Asthma Exacerbations in Adults With Mild Asthma.The journal of allergy and clinical immunology. In practice · 2024Article
- Longitudinal association of exclusive and dual use of cigarettes and cigars with asthma exacerbation among US adults: a cohort study.Respiratory research · 2024Article
- Chronic comorbid conditions and asthma exacerbation occurrence in a general population sample.NPJ primary care respiratory medicine · 2023Article
- Linking Ambient NO2 Pollution Measures with Electronic Health Record Data to Study Asthma Exacerbations.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023Article
- In-home environmental exposures predicted from geospatial characteristics of the built environment and electronic health records of children with asthma.Annals of epidemiology · 2022Article
- Development and Application of an Open Tool for Sharing and Analyzing Integrated Clinical and Environmental Exposures Data: Asthma Use Case.JMIR formative research · 2022Article
- Common exacerbation-prone phenotypes across asthma and chronic obstructive pulmonary disease (COPD).PloS one · 2022Article
- Open Application of Statistical and Machine Learning Models to Explore the Impact of Environmental Exposures on Health and Disease: An Asthma Use Case.International journal of environmental research and public health · 2021Article
- Feasibility and acceptability of monitoring personal air pollution exposure with sensors for asthma self-management.Asthma research and practice · 2021Article
- An approach for open multivariate analysis of integrated clinical and environmental exposures data.Informatics in medicine unlocked · 2021Article
- Sex, obesity, diabetes, and exposure to particulate matter among patients with severe asthma: Scientific insights from a comparative analysis of open clinical data sources during a five-day hackathon.Journal of biomedical informatics · 2019Article
- Analysis of Spatial Trends in Smoking Status Among Patients with Obstructive Airway Diseases Highlight Potential for Targeted Smoking Cessation Interventions.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundAsthma is a chronic inflammatory lung disease that affects 18.7 million U.S. adults. Electronic health records (EHRs) are a unique source of information that can be leveraged to understand factors associated with asthma in real-life populations. In this study, we identify demographic factors and comorbidities associated with asthma exacerbations among adults according to EHR-derived data and compare these findings to those of epidemiological studies.
methodsWe obtained University of Pennsylvania Hospital System EHR-derived data for asthma encounters occurring between 2011 and 2014. Regression analyses were performed to model asthma exacerbation frequency as explained by age, sex, race/ethnicity, health insurance type, smoking status, body mass index (BMI) and various comorbidities. We analyzed data from the National Health and Nutrition Examination Survey (NHANES) from 2001 to 2012 to compare findings with those from the EHR-derived data.
resultsBased on data from 9068 adult patients with asthma, 33.37% had at least one exacerbation over the four-year study period. In a proportional odds logistic regression predicting number of exacerbations during the study period (levels: 0, 1-2, 3-4, 5+ exacerbations), after controlling for age, race/ethnicity, sex, health insurance type, and smoking status, the highest odds ratios (ORs) of significantly associated factors were:
conclusionsEHR-derived data is helpful to understand exacerbations in real-life asthma patients, facilitating design of detailed studies and interventions tailored for specific populations.
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