A scoring-based clinical grading model for xanthelasma palpebrarum: predicting treatment frequency and prognosis

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 establi...

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Bibliographic Details
Published in:Archives of dermatological research 2024-09, Vol.316 (8), p.614, Article 614
Main Authors: Xu, Qianhui, Yao, Zuochao, Yu, Xiaoyan, Ying, Jianghui, Zhu, Jie, Lu, Lu, Hu, Zheyuan, Jiang, Hua, Wang, Hui
Format: Article
Language:English
Subjects:
Adult
Aged
Bleomycin - administration & dosage
China - epidemiology
Dermatology
Eyelid Diseases - diagnosis
Eyelid Diseases - drug therapy
Eyelids - pathology
Female
Humans
Hyperlipidemia
Injection
Lesions
Male
Medical prognosis
Medicine
Medicine & Public Health
Middle Aged
Original Paper
Patients
Prediction models
Prognosis
Recurrence
Regression analysis
Retrospective Studies
Risk Factors
Severity of Illness Index
Treatment Outcome
Xanthoma
Xanthomatosis - diagnosis
Xanthomatosis - pathology
Young Adult
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Summary: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  
ISSN:1432-069X
0340-3696
1432-069X
DOI:10.1007/s00403-024-03298-1