Decoding Asthma: A Tale of Two Databases
Author(s)
Marisa Alamillo, MSc, Yesika Díaz Rodríguez, MSc, Rebeca Galán, MSc, Ada Comparín, MSc, MIGUEL LEON, BSc, JOSE LUIS ENRIQUEZ, MPH, Ana López, MSc.
Telómera, Madrid, Spain.
Telómera, Madrid, Spain.
OBJECTIVES: To estimate and compare asthma incidence, demographic patterns, and treatment profiles using two large-scale real-world databases in Spain: Telotrón® and The Andalusian Population Health Database (BPS).
METHODS: We conducted a retrospective observational study (2018-2024) using Telotrón®, a large-scale clinical database covering over 2.2 million individuals across seven Autonomous Communities in Spain. Telotrón® includes both primary care and hospital records and offers a country-representative view. For comparative purposes, BPS, which includes data from a single region, was also analyzed. New asthma diagnoses were identified using ICD-10 code J45 and ICD-9 493. We calculated incidence by sex and age group and compared prescribing trends between 2021 and 2023 by therapeutic class.
RESULTS: Asthma incidence ranged from 4.0 to 6.2 per 1,000 population in Telotrón® and 3.4 to 5.1 in BPS, with higher rates in women. A bimodal age distribution was observed in both datasets: in Telotrón®, 23.5% of cases were in those aged 0-15 and 24.5% in those aged 30-45; in BPS, 33.2% and 19.4%, respectively. ICS/LABA was the most prescribed class and remained stable over time, accounting for 39.89% of prescriptions in Telotrón® and 32.91% in BPS. Telotrón® also showed a higher proportion of SABA and biologic treatments. Among biologics, omalizumab was the most prescribed in both databases, accounting for 53.06% in Telotrón® and 45.66% in BPS. Dupilumab and Mepolizumab showed different percentages.
CONCLUSIONS: Findings from Telotrón® and BPS were consistent in terms of asthma incidence, demographics, and treatment, supporting their use as complementary sources of real-world evidence. Telotrón® stands out for its broad geographic coverage, monthly data updates, and current treatments records. These enable faster study set-up and ongoing monitoring. These features make it especially suited for research on asthma and other conditions with seasonal or geographic variation
METHODS: We conducted a retrospective observational study (2018-2024) using Telotrón®, a large-scale clinical database covering over 2.2 million individuals across seven Autonomous Communities in Spain. Telotrón® includes both primary care and hospital records and offers a country-representative view. For comparative purposes, BPS, which includes data from a single region, was also analyzed. New asthma diagnoses were identified using ICD-10 code J45 and ICD-9 493. We calculated incidence by sex and age group and compared prescribing trends between 2021 and 2023 by therapeutic class.
RESULTS: Asthma incidence ranged from 4.0 to 6.2 per 1,000 population in Telotrón® and 3.4 to 5.1 in BPS, with higher rates in women. A bimodal age distribution was observed in both datasets: in Telotrón®, 23.5% of cases were in those aged 0-15 and 24.5% in those aged 30-45; in BPS, 33.2% and 19.4%, respectively. ICS/LABA was the most prescribed class and remained stable over time, accounting for 39.89% of prescriptions in Telotrón® and 32.91% in BPS. Telotrón® also showed a higher proportion of SABA and biologic treatments. Among biologics, omalizumab was the most prescribed in both databases, accounting for 53.06% in Telotrón® and 45.66% in BPS. Dupilumab and Mepolizumab showed different percentages.
CONCLUSIONS: Findings from Telotrón® and BPS were consistent in terms of asthma incidence, demographics, and treatment, supporting their use as complementary sources of real-world evidence. Telotrón® stands out for its broad geographic coverage, monthly data updates, and current treatments records. These enable faster study set-up and ongoing monitoring. These features make it especially suited for research on asthma and other conditions with seasonal or geographic variation
Conference/Value in Health Info
2025-11, ISPOR Europe 2025, Glasgow, Scotland
Value in Health, Volume 28, Issue S2
Code
RWD53
Topic
Epidemiology & Public Health, Real World Data & Information Systems
Topic Subcategory
Distributed Data & Research Networks
Disease
Biologics & Biosimilars, Respiratory-Related Disorders (Allergy, Asthma, Smoking, Other Respiratory)