CC BY-NC-ND 4.0 · Facial Plast Surg 2022; 38(02): 116-123
DOI: 10.1055/s-0041-1741560
Original Article

Rheologic and Physicochemical Characteristics of Hyaluronic Acid Fillers: Overview and Relationship to Product Performance

Carola de la Guardia
1   Medical Affairs, Allergan Aesthetics, an AbbVie company, Marlow, United Kingdom of Great Britain and Northern Ireland
,
Ada Virno
2   Clinical Development, Allergan Aesthetics, an AbbVie company, Rome, Italy
,
Maria Musumeci
1   Medical Affairs, Allergan Aesthetics, an AbbVie company, Marlow, United Kingdom of Great Britain and Northern Ireland
,
Aude Bernardin
3   Allergan Aesthetics, an AbbVie company, Pringy, France
,
Michael B. Silberberg
1   Medical Affairs, Allergan Aesthetics, an AbbVie company, Marlow, United Kingdom of Great Britain and Northern Ireland
› Author Affiliations

Abstract

Injections with hyaluronic acid (HA) fillers for facial rejuvenation and soft-tissue augmentation are among the most popular aesthetic procedures worldwide. Many HA fillers are available with unique manufacturing processes and distinct in vitro physicochemical and rheologic properties, which result in important differences in the fillers' clinical performance. The aim of this paper is to provide an overview of the properties most widely used to characterize HA fillers and to report their rheologic and physicochemical values obtained using standardized methodology to allow scientifically based comparisons. Understanding rheologic and physicochemical properties will guide clinicians in aligning HA characteristics to the facial area being treated for optimal clinical performance.

Note

Medical writing and editorial assistance were provided to the authors by Mayuri Kerr, PhD of Allergan Aesthetics and Regina Kelly of Peloton Advantage, LLC, an OPEN Health company, and funded by Allergan Aesthetics. All authors met the ICMJE authorship criteria. No honoraria were paid for authorship.




Publication History

Article published online:
03 February 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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