National and regional hospitalization rates for allergic disorders in the United States : a 17 year time-trend analysis

Abstract

Background: There is a paucity of data on national trends in hospitalizations for allergic disorders. The aim of this study was to present recent trends in common allergic disorders. Methods: We used the National Inpatient Sample for the period 1998-2014 to analyze 130 million hospital discharge records of all age groups from four U.S. census regions for the following allergic disorders: allergic conjunctivitis, allergic rhinitis, anaphylaxis, angioedema, asthma, atopic eczema/dermatitis, drug allergy, food allergy, urticaria and venom allergy. Yearly age- and sex-standardized hospitalization rates and trends over the 17-year period we calculated using segmented generalized linear regression. The trends were reported as annual percentage change (APC) for one segment or average annual percentage change (AAPC) for multiple segments. Results: Increases in hospitalization rates at national and regional levels were observed for anaphylaxis (APC 2.1%, CI: 0.1,4.2) and angioedema (APC 3.3%, CI: 1.8,4.8). In contrast, decreases were observed in drug allergy (APC -6%, CI: -9.4,-3.1), urticaria (APC -3.3%, CI: -6.3,-0.5) and asthma (AAPC -1.8%, CI: -2.2,-1.4). Non-primary diagnoses, defined as up to 14 diagnoses following the primary diagnosis, showed some contrary trends, such as increases in asthma (AAPC 4.3%, CI: 4.1,4.5) and additional trends, such as increases in allergic rhinitis (AAPC 9.7%, CI: 8.8,10.6) and atopic eczema/dermatitis (APC 4.2%, CI: 3.6,4.6). Allergic conjunctivitis, food allergy, and venom allergy showed no change. Conclusions: Analysis of recent national hospitalization data for allergic disorders reveals a complex picture with some conditions showing increased hospitalization rates whilst others showed no change or a decline.

Publication
Allergy, 75(5), pp. 1243-1247
Primož Kocbek
Primož Kocbek
PhD Student

My research interests include statistical models and machine learning techniques with applications in healthcare. My specific areas of interest include temporal data analysis, interpretability of prediction models, stability of algorithms, advanced machine learning methods on massive datasets, e.g. deep neural networks.

Nino Fijačko
Nino Fijačko
PhD Student

My research interests include the newest pedagogical technologies in different healthcare fields and their effect on individual persons. Specific areas of interest include how serious game in gamification affect the level of physiological and psychological aspects in critical situations, such as cardiopulmonary resuscitation.

Bright I Nwaru
Bright I Nwaru
Universitetslektor
Paige Wickner
Paige Wickner
Assistant Professor of Medicine
Aziz Sheikh
Aziz Sheikh
Chair of Primary Care Research and Development
Gregor Štiglic
Gregor Štiglic
Associate Professor and head of Research Institute

My research interests include predictive models in healthcare, interpretability of complex models.