| Autor: |
Juan Rico, Luis Javier Echevarría-González de Garibay, María García-López, Sandra Guardiola-Vilarroig, Luis Alberto Maceda-Roldán, Óscar Zurriaga, Clara Cavero-Carbonell |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Orphanet Journal of Rare Diseases, Vol 16, Iss 1, Pp 1-13 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1750-1172 |
| DOI: |
10.1186/s13023-021-01763-y |
| Popis: |
Abstract Background Rare diseases present a wide spectrum of clinical manifestations and severity levels and are often poorly known and underrepresented, making them difficult to classify. Diagnoses are usually coded using the International Classification of Diseases (ICD), with its different versions. In Spain, the ICD-10-ES (stem from the ICD-10-CM–Clinical Modification) is used throughout the National Healthcare System since 2016, indistinctively including rare diseases that often lack a specific code. Orphanet aims to provide high-quality resources on rare diseases. The goal was to interrelate the Orphanet classification with the ICD-10-ES in order to engage a tool to track rare diseases diagnosis and characterize the improvement space for the identification of rare diseases patients in the Spanish Healthcare System. Methods 5775 disorder level ORPHAcodes were mapped to ICD-10-ES codes by comparing the descriptors associated in both classifications. ORPHAcodes were then clustered based on their assigned ICD-10-ES chapter and the redundancy of each individual ICD-10-ES code was calculated by counting the ORPHAcodes they mapped to. Three groups were established: Group 1 (1 ORPHAcode per ICD-10-ES), Group 2 (between 2–49 ORPHAcodes per ICD-10-ES) and Group 3 (≥ 50 ORPHAcodes per ICD-10-ES). Results Equivalences to 1700 ICD-10-ES codes were established for 5664 ORPHAcodes. The ORPHAcodes distribution within the ICD-10-ES showed an aggregation in the “Q” (> 40%), “G” (> 14%), and “E” (12%) chapters. The availability of ICD-10-ES codes to map ORPHAcodes reached its lowest at the “G” and “Q” chapters with less than 0.2 ICD-10-ES codes available per ORPHAcode. Global ICD-10-ES codes redundancy analysis revealed that only 1055 of the equivalences pertain to group 1. Group 2 contained 3358 equivalences with 634 ICD-10-ES codes while 1322 equivalences were group 3 (11 ICD-10-ES). Within ICD-10-ES chapters, “G” and “Q” contained over 30% and 45% of their own equivalences in the highest redundancy level (group 3) respectively, but under 10% one to one equivalences each (group 1). Conclusions ICD-10-ES codes have not enough specificity to identify rare diseases. Direct mapping between ICD and ORPHAcodes or the integration of ORPHAcodes at the healthcare system for diagnoses codification would enable better detection and epidemiological analysis of rare diseases. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
