Published on 2025年 10月 7日 - Recorded during IMCAS China 2025
摘要
Alessio REDAELLI 医师
医学博士
Hybrid fillers: A new, effective possibility in our hands
Objectives: To evaluate the rationale, benefits, and clinical applications of hybrid fillers in aesthetic medicine, analyzing their safety, performance, and patient satisfaction compared to traditional dermal fillers.
Introduction: Hybrid fillers represent a new generation of injectable materials that combine different components—typically cross-linked hyaluronic acid with biostimulatory agents such as calcium hydroxyapatite, amino acids, or polynucleotides. This dual mechanism aims to provide immediate volumizing effects alongside long-term stimulation of collagen and tissue regeneration. As aesthetic demands increase, hybrid fillers offer a promising alternative to conventional fillers for enhanced outcomes in facial rejuvenation.
Materials / method: A retrospective and prospective analysis was conducted on my casistic (aged 35–72) treated with various commercially available hybrid fillers over last 12-month period. Treatments targeted midface, perioral region, and mandibular contouring. Also the technique for body was evaluated to standardize the prootocol and possible outcomes
Results: Hybrid fillers demonstrated superior tissue integration and longer-lasting aesthetic effects (average duration: 10–14 months) compared to traditional fillers (6–9 months). Patient satisfaction scores were significantly higher in the hybrid filler. No major complications were reported; mild edema and ecchymosis were transient and no other major complications raised.
Conclusion: Hybrid fillers provide a safe, effective, and innovative approach to facial rejuvenation, combining immediate correction with regenerative stimulation. Their use may represent a new standard in personalized aesthetic protocols, particularly for patients with laxity, seeking both volume and skin quality improvement. Further long-term studies are recommended to validate the regenerative potential and optimal treatment algorithms.
披露 - Alessio REDAELLI
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