Recent research has shown that circadian syndrome is a better predictor of psoriasis than metabolic syndrome. The study utilized data from the National Health and Nutrition Examination Survey (NHANES) to build machine learning models for their analysis. The researchers implemented three stages: using logistic regression analyses to assess the association, comparing predictive performances of metabolic and circadian syndromes using machine learning algorithms, and conducting Mendelian randomization analyses to evaluate causal links between circadian syndrome components and psoriasis.
The study included 9,531 participants from the NHANES database and used established criteria for diagnosing metabolic syndrome and circadian syndrome. The results indicated that metabolic syndrome and circadian syndrome were both positively associated with psoriasis, with circadian syndrome showing superior predictive performance. The Gradient Boosting model for circadian syndrome achieved the highest prediction accuracy. Key predictors of psoriasis included increased waist circumference, blood pressure, depressive symptoms, and lack of sleep. These findings suggest that circadian syndrome should be considered a significant risk group for psoriasis.
Reference: Smith T. Circadian Syndrome Superior Predictor to Metabolic Syndrome of Prevalent Psoriasis. HCP Live. Published July 22, 2024. Accessed August 2, 2024. https://www.hcplive.com/view/circadian-syndrome-superior-predictor-metabolic-syndrome-prevalent-psoriasis
