• Ir J Med Sci · Aug 2020

    Five-year follow-up of patients treated with intra-dermal botulinum toxin for axillary hyperhidrosis.

    • Olwyn E Lynch, T Aherne, J Gibbons, M R Boland, É J Ryan, E Boyle, B Egan, and S Tierney.
    • Department of Vascular Surgery, Tallaght University Hospital, Dublin, Ireland. Lynchol@tcd.ie.
    • Ir J Med Sci. 2020 Aug 1; 189 (3): 1023-1026.

    BackgroundAxillary hyperhidrosis is a common complaint affecting 5% of the general population. It can significantly impact quality of life (QOL) and may be extremely debilitating. Administration of intra-dermal botulinum toxin type-A (Botox) has been proven to be effective in managing axillary hyperhidrosis; however, to date, no long-term data has assessed its efficacy.AimWe aim to assess long-term (> 5 years) QOL outcomes in this patient cohort.MethodsIn this single-centre series, all patients attending for axillary botox, with five or more years of follow-up, were prospectively included. QOL was assessed in all patients using the validated assessment tool, the modified Dermatology Life Quality Index (DLQI). Standard statistical methods were utilised with data reported as mean (± standard deviation). Subgroup analysis utilising previously published departmental data allowed for further assessment of change in QOL over time.ResultsA total of 75 patients (83% female) met the inclusion criteria with 67% completing the DLQI assessment. Follow-up ranged from 5 to 10 years with a mean age of 37.6 years (± 8.82). The mean number of treatments over the study period was 12 (± 3.1). Mean overall post-treatment DLQI score was 1.6 (± 2.01). This represented a significant improvement in patient QOL (p = < 0.0001) associated with long-term botox application. This statistical significance was identified consistently across all components of the DLQI tool.ConclusionThese data suggest that the established early QOL benefits associated with intra-dermal botox administration for AH are sustained in the long term. This benefit was seen across all subsets of the DLQI tool.

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