Chronic Cough: Characterizing and Quantifying Burden in Adults Using a Nationwide Electronic Health Records Database.

Chronic cough is a common condition; until recently, no International Classification of Diseases (ICD) code for chronic cough existed; therefore, the true scope and burden of chronic cough is unclear. Using established algorithms, we examined chronic cough patients and their risk profiles, recurrent cough episodes, and subsequent 1-year health care utilization in the nationwide Cerner EHR data resource, compared with those with acute cough. An ICD-based algorithm was applied to the Cerner Health Facts EHR database to derive a phenotype of chronic cough defined as three ICD-based "cough" encounters 14-days apart over a 56-to-120-day period from 2015 to 2017. Demographics, comorbidities, and outcomes (1-year outpatient, emergency, and inpatient encounters) were collected for the chronic cough cohort and acute cough cohort. The chronic cough cohort was 61.5% female, 70.4% white, and 15.2% African American, with 13.7% being of Asian, Native American, or unknown race. Compared with the acute cough cohort, chronic cough patients were more likely to be older, female, and have chronic pulmonary disease, obesity, and depression. Predictors of recurrent chronic cough were older age and race. Those with chronic cough had more outpatient (2.48 ± 2.10 vs. 1.48 ± 0.99; SMD = 0.94), emergency (1.90 ± 2.26 vs. 1.23 ± 0.68; SMD = 0.82), and inpatient (1.11 ± 0.36 vs. 1.05 ± 0.24, SMD = 0.24) encounters compared with acute cough. While EHR-based data may provide a useful resource to identify chronic cough phenotypes, supplementary data approaches and screening methods for chronic cough can further identify the scope of the problem.

The US national registry for childhood interstitial and diffuse lung disease: Report of study design and initial enrollment cohort.

INTRODUCTION: Childhood interstitial and diffuse lung disease (chILD) encompasses a broad spectrum of rare disorders. The Children's Interstitial and Diffuse Lung Disease Research Network (chILDRN) established a prospective registry to advance knowledge regarding etiology, phenotype, natural history, and management of these disorders. METHODS: This longitudinal, observational, multicenter registry utilizes single-IRB reliance agreements, with participation from 25 chILDRN centers across the U.S. Clinical data are collected and managed using the Research Electronic Data Capture (REDCap) electronic data platform. RESULTS: We report the study design and selected elements of the initial Registry enrollment cohort, which includes 683 subjects with a broad range of chILD diagnoses. The most common diagnosis reported was neuroendocrine cell hyperplasia of infancy, with 155 (23%) subjects. Components of underlying disease biology were identified by enrolling sites, with cohorts of interstitial fibrosis, immune dysregulation, and airway disease being most commonly reported. Prominent morbidities affecting enrolled children included home supplemental oxygen use (63%) and failure to thrive (46%). CONCLUSION: This Registry is the largest longitudinal chILD cohort in the United States to date, providing a powerful framework for collaborating centers committed to improving the understanding and treatment of these rare disorders.

Closing the gap: Understanding African American asthma knowledge and beliefs.

BACKGROUND: African American children are disproportionately affected by asthma (13% vs 8% non-Hispanic white Americans) and experience 30% higher asthma-related deaths than whites. Knowledge regarding asthma and asthma treatment among African Americans has been postulated as a potential contributor to this observed health disparity. Compared with the amount of studies on asthma, few investigations provide insight into the baseline knowledge and beliefs of African Americans regarding asthma. OBJECTIVE: Assess knowledge and beliefs regarding asthma symptoms, diagnosis, treatment, prognosis, and stigmas in a general community sample of African Americans. METHODS: Using community-based participatory research techniques, we developed and implemented a cross-sectional survey to explore asthma knowledge and beliefs among African American adults in a Midwestern city. RESULTS: Among the 158 African American adults who completed the survey, general asthma knowledge was good, with awareness of the genetic contribution to asthma and general asthma symptomatology (eg, 92% aware of nighttime cough as a symptom). However, asthma-related misconceptions were also revealed. Thirty-three percent of respondents were concerned about addiction to asthma medication, and 60% of respondents believed that inhaled corticosteroids were dangerous or did not know. CONCLUSION: This study reveals important insights into asthma knowledge and beliefs among African Americans that may be used to address disparities in asthma outcomes in this population.