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  • Title: A scoring-based clinical grading model for xanthelasma palpebrarum: predicting treatment frequency and prognosis.
    Author: Xu Q, Yao Z, Yu X, Ying J, Zhu J, Lu L, Hu Z, Jiang H, Wang H.
    Journal: Arch Dermatol Res; 2024 Sep 12; 316(8):614. PubMed ID: 39266881.
    Abstract:
    Xanthelasma palpebrarum is one of the most common cutaneous xanthomas in humans. Currently, there are various methods available for treating xanthelasma palpebrarum, but the high treatment frequency and recurrence rate remain significant challenges for patients. Therefore, it is necessary to establish a reasonable and effective clinical grading system to guide the diagnosis and treatment of xanthelasma palpebrarum. We developed a clinical scoring system related to local injection of pingyangmycin for the treatment of xanthelasma palpebrarum, which can be used to predict early prognosis and treatment outcomes in patients. We collected and retrospectively studied 246 outpatient cases of xanthelasma palpebrarum treated with local injection of pingyangmycin in the Department of Plastic Surgery at Shanghai East Hospital from February 2020 to August 2022. Potential independent risk factors for adverse outcomes (recurrence or non-recurrence) were considered in univariate and multivariate logistic regression models. Predictive factors were determined based on the multivariate logistic regression model and Cox model, and a scoring grading system was established. External validation was conducted on an independent cohort of 110 patients. Based on logistic regression analysis, the number, area, and color of lesions were identified as significant predictive indicators (P < 0.05), with respective AUCs of 0.710, 0.799, and 0.755. The Cox model established hazard ratios for four new severity indicators of xanthelasma palpebrarum: hyperlipidemia, number of lesions, lesion area, and lesion grayscale value. Based on these findings, a new clinical grading model was developed, which was validated to be effective in the external cohort. The new scoring-based clinical predictive model can effectively predict the number of pingyangmycin injection treatments and prognosis in patients with xanthelasma palpebrarum. It holds promise for broader application in clinical practice.
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