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

Abstract

Background: 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.