RESUMEN
BACKGROUND: The use of "skin boosters" comprised of hyaluronic acid (HA)-based fillers to improve skin quality has gained popularity recently, especially in individuals interested in skin rejuvenation. AIM: This study aimed to evaluate the efficacy and safety of intradermal micropuncture injections of HA-based gel filler combined with lidocaine (BYRYZN® SKINBOOSTER HA, ACROSS Co., Ltd., Gangwon-do, Korea). PATIENTS/METHODS: A prospective, single-arm, open-label pilot study was conducted with study subjects who were aged between 30 and 60 years old and exhibited evidence of skin aging, such as wrinkles and loss of elasticity. They received three injections at 2-week intervals and were followed up for a total of 12 weeks. RESULTS: Twenty subjects with a mean age of 54.1 years were included. The mean Lemperle wrinkle scale demonstrated a 40% decrease from 2.60 ± 0.60 at baseline to 1.55 ± 0.51 at week 8. The improvement rate was maintained at about 33% until week 12. The average maximum height of the wrinkle (Rz, µm), average skin roughness (Ra, µm), skin elasticity (R2, AU), facial curved length (mm), skin pore size (mm2 ), skin hydration (AU), TEWL (g/hm2 ), and skin glossiness (gloss value, AU) exhibited statistically significant improvements over time compared with the baseline measurements. No serious adverse effects or persistent adverse effects were reported, except for a transient subcutaneous nodule in one subject. CONCLUSIONS: This study demonstrates that multiple microinjections of HA-based gel filler for facial skin aging are safe and effective in improving facial skin quality.
Asunto(s)
Técnicas Cosméticas , Rellenos Dérmicos , Envejecimiento de la Piel , Humanos , Adulto , Persona de Mediana Edad , Ácido Hialurónico/efectos adversos , Proyectos Piloto , Técnicas Cosméticas/efectos adversos , Satisfacción del Paciente , Estudios Prospectivos , Rejuvenecimiento , Rellenos Dérmicos/efectos adversos , Resultado del TratamientoRESUMEN
BACKGROUND: Silymarin is the active component of milk thistle, which has antioxidant properties by scavenging free radicals and potential comedolytic properties. AIMS: This study aimed to assess the efficacy and safety of 0.5% silymarin-loaded antioxidant serum (SAS) used to treat mild-to-moderate acne. PATIENTS AND METHODS: A prospective, open-label pilot study was conducted. We enrolled 22 Korean acne patients who applied the 0.5% SAS on the whole face twice daily while continuing the current anti-acne medications. Grade of acne severity, individual lesion counts, sebum output levels, skin erythema, and melanin pigmentation were assessed. RESULTS: After a 4-week application, the modified Global Acne Grading Score (mGAGS), Global Evaluation Acne (GEA) scale, and the acne lesion counts were significantly decreased. Sebum secretion, skin pigmentation, and erythema were also reduced during the study period, yet only the melanin pigmentation index reached statistical significance. Subgroup analysis revealed that the patients who took the low-dose oral isotretinoin during the study period showed more noticeable improvements in skin sebum output and melanin pigmentation. Additionally, no adverse event was associated with using the 0.5% SAS. CONCLUSION: The 0.5% silymarin-containing antioxidant formulation improved acne's clinical severity and related skin biophysical parameters.
Asunto(s)
Acné Vulgar , Silimarina , Humanos , Antioxidantes/efectos adversos , Proyectos Piloto , Silimarina/efectos adversos , Melaninas , Estudios Prospectivos , Acné Vulgar/tratamiento farmacológico , Eritema/inducido químicamente , Resultado del TratamientoRESUMEN
Evaluation of scar severity is crucial for determining proper treatment modalities; however, there is no gold standard for assessing scars. This study aimed to develop and evaluate an artificial intelligence model using images and clinical data to predict the severity of postoperative scars. Deep neural network models were trained and validated using images and clinical data from 1283 patients (main dataset: 1043; external dataset: 240) with post-thyroidectomy scars. Additionally, the performance of the model was tested against 16 dermatologists. In the internal test set, the area under the receiver operating characteristic curve (ROC-AUC) of the image-based model was 0.931 (95% confidence interval 0.910â0.949), which increased to 0.938 (0.916â0.955) when combined with clinical data. In the external test set, the ROC-AUC of the image-based and combined prediction models were 0.896 (0.874â0.916) and 0.912 (0.892â0.932), respectively. In addition, the performance of the tested algorithm with images from the internal test set was comparable with that of 16 dermatologists. This study revealed that a deep neural network model derived from image and clinical data could predict the severity of postoperative scars. The proposed model may be utilized in clinical practice for scar management, especially for determining severity and treatment initiation.