Abstract
BACKGROUND: Rosacea is a common chronic inflammatory skin disease with complex causes and varied clinical manifestations. While risk factors for its onset have been studied, key factors associated with disease severity remain unclear. Identifying these factors is essential for optimizing management and treatment strategies. AIMS: This study aims to identify the key risk factors affecting rosacea severity, characterize the clinical features of rosacea patients, and analyze the correlation between skin parameters and disease severity using the DermaLab system. The findings will provide a scientific basis for improving rosacea management. METHODS: A cross-sectional analysis was conducted on 305 newly diagnosed rosacea patients, collecting demographic data, lifestyle habits, and family history. Ordered logistic regression was used to identify key factors influencing disease severity, while the DermaLab system measured skin parameters and verified their correlation with disease severity. RESULTS: The study found that gender, family history, hyperlipidemia, constipation, and allergic symptoms were significantly associated with rosacea severity. Regression analysis identified 10 key risk factors, with further verification confirming nine core factors. Additionally, certain dermatological parameters were positively correlated with disease severity, offering new insights for objective disease assessment. CONCLUSIONS: Rosacea management should focus on identifying risk factors through targeted strategies, including skincare and managing comorbidities. Personalized treatment plans can help control disease progression and improve patients' quality of life.