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Characteristics of adults with potential refractory chronic cough identified using an algorithm designed for
Sascha van Boemmel-Wegmann1, Kenneth W Altman2, Ron Herrera1
1Integrated Evidence Generation, Bayer AG, Berlin, Germany.
Science Progress
|March 28, 2024
Summary
This study developed an algorithm to identify patients with refractory chronic cough (RCC) in administrative claims data. The algorithm identified characteristics of potential RCC cases, highlighting common comorbidities and medication use.
Area of Science:
- Pulmonology
- Epidemiology
- Health Informatics
Background:
- Population-based studies on refractory chronic cough (RCC) are limited.
- Accurate identification of RCC patients in large datasets is challenging.
- Administrative claims databases offer potential for epidemiological research.
Purpose of the Study:
- To develop and describe an algorithm for identifying patients with refractory chronic cough (RCC) using administrative claims data.
- To characterize the patient population identified as potential RCC cases.
- To establish a foundation for future research on RCC prevalence and characteristics.
Main Methods:
- A cohort of adults with chronic cough (N=782,121) was identified from administrative claims data.
- An algorithm was applied to identify potential RCC cases based on cough event frequency and exclusion criteria.
- Potential RCC cases were stratified into probable, possible, and unlikely cohorts for characteristic analysis.
Main Results:
- 16.8% of chronic cough patients were identified as potential RCC cases.
- Potential RCC cases were predominantly female (66.4-70.5%) with a median age of 53-60 years.
- Common comorbidities included allergic rhinitis, hypertension, and gastro-oesophageal reflux disease; increased medication use was observed in probable RCC cases.
Conclusions:
- The developed algorithm provides a method for identifying potential refractory chronic cough (RCC) patients in administrative claims databases.
- The algorithm requires further validation in future studies.
- This approach can facilitate larger epidemiological studies on RCC.
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