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Войти в исследования Journal of cosmetic dermatology · 2025
Risk Factors of Acne Recurrence After Treatment and Establishment of an Early Warning Model.
СтатьяНазвание и аннотация: Перевод в очереди
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Guo Keye, Lu Zhongming, Deng Huazhou, Shao Yan
Аннотация
BACKGROUND: Acne vulgaris is a chronic inflammatory disease of the pilosebaceous units. It primarily manifests as comedones, papules, pustules, nodules, and cysts, making it the most common inflammatory skin disorder involving hair follicles and sebaceous glands. Acne predominantly occurs in adolescents and young adults. With continuous social development and increasing aesthetic standards, the demand for effective acne management has grown. However, as acne treatment is often prolonged and challenging, most patients experience recurrence after therapy, which significantly impacts their daily lives and emotional well-being.
AIM: This study aims to identify the factors associated with acne recurrence after treatment, and based on these findings, develop an early warning model to guide the prevention of acne recurrence.
METHODS: Clinical data from 218 patients were retrospectively analyzed. Among them, 105 cases (48.17%) experienced acne recurrence; 49 cases (46.67%) had mild recurrence; 37 cases (35.24%) had moderate recurrence; 19 cases (18.10%) had severe recurrence. Logistic regression analysis revealed that body mass index (BMI), smoking history, alcohol consumption, Self-Rating Depression Scale (SDS) score, Self-Rating Anxiety Scale (SAS) score, staying up late, poor eating habits, and prolonged use of electronic devices were risk factors for recurrence. In contrast, weekly pillowcase replacement was identified as a protective factor.
RESULTS: The predictive model was formulated as follows: 0.516 + (BMI × 0.283) + (smoking history × 0.775) + (drinking history × 0.854) + (SDS × 0.842) + (SAS × 0.744) + (staying up late × 0.396) + (eating habits × 0.935) + (time using electronic devices × 0.832) + (weekly pillowcase replacement × -0.512). The sensitivity, specificity, and AUC (95% CI) of the model were 88.57%, 80.53%, and 0.846 (0.791-0.891), respectively.
CONCLUSION: The early warning model based on recurrence risk factors demonstrated strong predictive performance and may serve as a valuable tool in the clinical prevention of acne recurrence.
AIM: This study aims to identify the factors associated with acne recurrence after treatment, and based on these findings, develop an early warning model to guide the prevention of acne recurrence.
METHODS: Clinical data from 218 patients were retrospectively analyzed. Among them, 105 cases (48.17%) experienced acne recurrence; 49 cases (46.67%) had mild recurrence; 37 cases (35.24%) had moderate recurrence; 19 cases (18.10%) had severe recurrence. Logistic regression analysis revealed that body mass index (BMI), smoking history, alcohol consumption, Self-Rating Depression Scale (SDS) score, Self-Rating Anxiety Scale (SAS) score, staying up late, poor eating habits, and prolonged use of electronic devices were risk factors for recurrence. In contrast, weekly pillowcase replacement was identified as a protective factor.
RESULTS: The predictive model was formulated as follows: 0.516 + (BMI × 0.283) + (smoking history × 0.775) + (drinking history × 0.854) + (SDS × 0.842) + (SAS × 0.744) + (staying up late × 0.396) + (eating habits × 0.935) + (time using electronic devices × 0.832) + (weekly pillowcase replacement × -0.512). The sensitivity, specificity, and AUC (95% CI) of the model were 88.57%, 80.53%, and 0.846 (0.791-0.891), respectively.
CONCLUSION: The early warning model based on recurrence risk factors demonstrated strong predictive performance and may serve as a valuable tool in the clinical prevention of acne recurrence.