Background: Biologics have revolutionized the treatment of many diseases. In this regard, omalizumab (OMA), an anti-IgE monoclonal antibody, is the recommended therapeutic option for patients with chronic spontaneous urticaria (CSU) refractory to second-generation H1-antihistamines. Several studies confirm the efficacy and safety of the drug. However, the literature focusing on the elderly population is scarce, as this age group is often excluded from clinical trials. Therefore, the pharmacological treatment of CSU in elderly patients is a challenge that is increased by their comorbidities and consequent polypharmacy. Objectives: We describe the real-life safety profile of OMA in elderly patients (≥70 years) with CSU and chronic inducible urticaria (CIndU). We aimed to provide data for daily clinical practice in this vulnerable patient group. Method: A retrospective review was performed of the records of patients with CSU/CIndU from May 2003 to December 2019 in the Hospital Universitario La Paz. We describe qualitative and quantitative data according to measures of central tendency. Comparisons between qualitative and quantitative data were performed with the Mann-Whitney U test and the Fisher’s test for qualitative variables. A p value <0.05 was considered statistically significant. Results and Conclusions: Eighty-nine patients were included, divided into two groups (<70 vs. ≥70 years). The overall rate of adverse events (AEs) was 48%, mainly mild. No association between age and AE was found (p = 0.789). No serious AE such as anaphylaxis was detected. CSU predominated in both groups. CIndU was less prevalent in the elderly (p = 0.017). There was no association between age and the other variables. Although the frequency of neoplasms was slightly higher in the elderly with OMA, we found no difference compared to the incidence of neoplasms in the general population. Therefore, our data suggest that OMA may be a safe treatment in elderly people with CSU/CIndU for prolonged periods of treatment, although further studies with larger samples are needed to corroborate our observations.

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