Observational studyThe Permanente journal2020
Prevalence and Characteristics of Chronic Cough in Adults Identified by Administrative Data.
Observational study in The Permanente journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Diagnosis and Treatment of Adult Patients with Cough.Respiration; international review of thoracic diseases · 2025Guideline
- Seasonality in Cough: The Influence of Environmental Physiology.Laryngoscope investigative otolaryngology · 2025Article
- Article
- Characteristics of US Medicare Beneficiaries with Chronic Cough vs. Non-Chronic Cough: 2011-2018.Journal of clinical medicine · 2024Article
- Prevalence and disease burden of chronic cough in nine cities of China: an observational study.BMC pulmonary medicine · 2024Observational
- Epidemiology and Healthcare Service Utilization among Adults with Chronic Cough.Journal of clinical medicine · 2024Article
- Chronic Cough: Characterizing and Quantifying Burden in Adults Using a Nationwide Electronic Health Records Database.Journal of healthcare informatics research · 2024Article
- Machine learning to identify chronic cough from administrative claims data.Scientific reports · 2024Observational
- Article
- Characteristics, demographics, and epidemiology of possible chronic cough in Sweden: A nationwide register-based cohort study.PloS one · 2024Article
- Patterns of Cough Medication Prescribing among Patients with Chronic Cough in Florida: 2012-2021.Journal of clinical medicine · 2023Article
- Health-related experiences of adults with chronic cough: Empirical research mixed methods.Nursing open · 2023Article
- Prediction of persistent chronic cough in patients with chronic cough using machine learning.ERJ open research · 2023Article
- Clinical characteristics and drug utilisation patterns in patients with chronic cough: a retrospective cohort study using a Japanese claims database.BMC pulmonary medicine · 2022Article
- A register-based study: cough - a frequent phenomenon in the adult population.BMC pulmonary medicine · 2022Article
- Development of a natural language processing algorithm to detect chronic cough in electronic health records.BMC pulmonary medicine · 2022Observational
- Systematic literature review of treatments used for refractory or unexplained chronic cough in adults.Annals of thoracic medicineReview
- Prescriptions of opioid-containing drugs in patients with chronic cough.Therapeutic advances in respiratory diseaseArticle
- Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextInternational Classification of Diseases-9/10 codes for chronic cough (CC) do not exist, limiting investigation.
objectiveTo develop a computerized algorithm to determine CC prevalence and its characteristics.
designThis observational study using administrative data identified hierarchically patients aged 18 to 85 years with CC from 2013 to 2016. First, a specialist-diagnosed CC group was identified using an internal CC encounter code during an outpatient visit to a pulmonologist, allergist, otolaryngologist, or gastroenterologist. Subsequently, an event-diagnosed CC group was identified based on clinical notes through natural language processing, ICD-9/ICD-10 cough codes, and dispensed antitussives.
main outcome measuresPrevalence of CC and comparison of clinical characteristics between specialist-diagnosed and event-diagnosed CC subgroups.
resultsA total of 50,163 patients with CC of more than 8 weeks were identified. Of these, 11,290 (22.5%) were specialist diagnosed, and 38,873 (77.5%) were event diagnosed. The CC cohort was 57.4 ± 16.5 years of age; 67.6% were female. The overall prevalence was 1.04% (95% confidence interval = 1.03-1.06) in 2016. Prevalence in 2016 was higher in female patients (1.21%) than in male patients (0.81%), higher in patients aged 65 to 85 years (2.2%) than in patients aged 18 to 44 years (0.43%), and higher in Blacks (1.38%) than in Whites (1.21%). Compared with patients with event-diagnosed CC, patients with specialist-diagnosed CC exhibited significantly higher frequencies of laboratory tests and respiratory and nonrespiratory comorbidities and dispensed medication and lower frequency of pneumonia, all-cause and respiratory-cause emergency department visits and hospitalizations, and dispensed antitussives.
conclusionsWe identified a CC cohort using electronic data in a managed care organization. Prevalences varied by sex, age, and ethnicity. Clinical characteristics varied between specialist-diagnosed and event-diagnosed CC.
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