Optimization of the allergen classification of the International Classification Of Diseases, 11th Revision (ICD-11)

Background: Accurate diagnosis of triggers or causative allergens is essential for appropriate risk assessment, providing correct advice to patients with allergy and their caregivers and personalized treatment. However, allergens have never been represented in the World Health Organization International Classification of Diseases (ICD). Objective: In this article, we present the process of selection of allergens to better fit the ICD, 11th Revision (ICD-11) structure and the outcomes of this process. Methods: The Logical Observation Identifiers Names and Codes database, containing 1444 allergens, was used as the basis for the selection process. Two independent experts were responsible for the first selection of the allergens according to specific technical criteria. The second step of the selection process was based on real-life relevance of the allergens according to the frequency of requests regarding each of them. Results: We selected 1109 allergens (76.8%) from all 1444 present in the Logical Observation Identifiers Names and Codes database, with considerable agreement between experts (Cohen K 5 8.6). After assessment of real-life data, 297 additional relevant allergens worldwide were selected and grouped as plants (36.4%), drugs (32.6%), animal proteins (21%), mold and other microorganisms (1.5%), occupational allergens (0.4%), and miscellaneous allergens (0.5%). Conclusion: The stepwise approach allowed us to select the most relevant allergens in practice, which is the first step to building a classification of allergens for the WHO ICD-11. Aligned with the achievement in the construction of the pioneer section addressed to the allergic and hypersensitivity conditions in the ICD-11, the introduction of a classification for allergens can be considered timely and much needed in clinical practice. (J Allergy Clin Immunol 2023;151:1655-9.)

Automated summary

This study presents the selection process of allergens for fitting the structure of WHO ICD-11 and provides a classification of allergens based on real-life relevance. A total of 1109 allergens (76.8%) were selected from a database of 1444, with an additional 297 relevant allergens chosen based on real-life data. The stepwise approach used in this study is essential for building a classification of allergens for the WHO ICD-11, and it has significant implications for clinical practice.