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Algorithmic Approach to Management of Complications of Permanent Facial Filler: A Saudi Experience

Facial filler is the most common type of cosmetic surgery next to Botox. Permanent filler is preferred nowadays due to low cost brought about by nonrecurring injection appointments. However, such fillers pose a higher risk for complications, with even greater adverse effects when the procedure is do...

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Autores principales: Alarfaj, Seham, Zino Alarki, Subhi M.K., Habib, Ovais, Wani, Shabeer Ahmad, AlSalmi, Loai Abdullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988291/
https://www.ncbi.nlm.nih.gov/pubmed/36891570
http://dx.doi.org/10.1097/GOX.0000000000004838
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author Alarfaj, Seham
Zino Alarki, Subhi M.K.
Habib, Ovais
Wani, Shabeer Ahmad
AlSalmi, Loai Abdullah
author_facet Alarfaj, Seham
Zino Alarki, Subhi M.K.
Habib, Ovais
Wani, Shabeer Ahmad
AlSalmi, Loai Abdullah
author_sort Alarfaj, Seham
collection PubMed
description Facial filler is the most common type of cosmetic surgery next to Botox. Permanent filler is preferred nowadays due to low cost brought about by nonrecurring injection appointments. However, such fillers pose a higher risk for complications, with even greater adverse effects when the procedure is done using unknown dermal filler injections. This study aimed to establish an algorithm to categorize and manage patients that receive permanent fillers. METHODS: Twelve participants were presented to the service through emergency or as outpatient from November 2015 to May 2021. Demographic characteristics such as age, sex, date of injection, time of onset, and types of complications were collected. After examination, all cases were managed based on an algorithm established. FACE-Q was used to measure overall satisfaction and psychological well-being. RESULTS: An algorithm to diagnose and manage these patients effectively with high satisfaction rate was established in this study. All participants were non-smoking women, with no known medical comorbidities. The algorithm determined the treatment plan when faced with complications. Results revealed high appearance-related psychosocial distress before surgery, which significantly dropped after surgery. FACE-Q was able to establish evidence of satisfactory rating among patients before and after surgery. CONCLUSION: This treatment algorithm can guide the surgeon in formulating a suitable plan with less complications and high satisfaction rate.
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spelling pubmed-99882912023-03-07 Algorithmic Approach to Management of Complications of Permanent Facial Filler: A Saudi Experience Alarfaj, Seham Zino Alarki, Subhi M.K. Habib, Ovais Wani, Shabeer Ahmad AlSalmi, Loai Abdullah Plast Reconstr Surg Glob Open Cosmetic Facial filler is the most common type of cosmetic surgery next to Botox. Permanent filler is preferred nowadays due to low cost brought about by nonrecurring injection appointments. However, such fillers pose a higher risk for complications, with even greater adverse effects when the procedure is done using unknown dermal filler injections. This study aimed to establish an algorithm to categorize and manage patients that receive permanent fillers. METHODS: Twelve participants were presented to the service through emergency or as outpatient from November 2015 to May 2021. Demographic characteristics such as age, sex, date of injection, time of onset, and types of complications were collected. After examination, all cases were managed based on an algorithm established. FACE-Q was used to measure overall satisfaction and psychological well-being. RESULTS: An algorithm to diagnose and manage these patients effectively with high satisfaction rate was established in this study. All participants were non-smoking women, with no known medical comorbidities. The algorithm determined the treatment plan when faced with complications. Results revealed high appearance-related psychosocial distress before surgery, which significantly dropped after surgery. FACE-Q was able to establish evidence of satisfactory rating among patients before and after surgery. CONCLUSION: This treatment algorithm can guide the surgeon in formulating a suitable plan with less complications and high satisfaction rate. Lippincott Williams & Wilkins 2023-03-06 /pmc/articles/PMC9988291/ /pubmed/36891570 http://dx.doi.org/10.1097/GOX.0000000000004838 Text en Copyright © 2023 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Cosmetic
Alarfaj, Seham
Zino Alarki, Subhi M.K.
Habib, Ovais
Wani, Shabeer Ahmad
AlSalmi, Loai Abdullah
Algorithmic Approach to Management of Complications of Permanent Facial Filler: A Saudi Experience
title Algorithmic Approach to Management of Complications of Permanent Facial Filler: A Saudi Experience
title_full Algorithmic Approach to Management of Complications of Permanent Facial Filler: A Saudi Experience
title_fullStr Algorithmic Approach to Management of Complications of Permanent Facial Filler: A Saudi Experience
title_full_unstemmed Algorithmic Approach to Management of Complications of Permanent Facial Filler: A Saudi Experience
title_short Algorithmic Approach to Management of Complications of Permanent Facial Filler: A Saudi Experience
title_sort algorithmic approach to management of complications of permanent facial filler: a saudi experience
topic Cosmetic
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9988291/
https://www.ncbi.nlm.nih.gov/pubmed/36891570
http://dx.doi.org/10.1097/GOX.0000000000004838
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