Accelerated biological aging in psoriasis: Findings from the national health and nutrition examination survey

Summary: Abstract Body: Psoriasis is linked to systemic disease burden and reduced life expectancy. Previously validated biological age prediction algorithms based on blood chemistry and clinical biomarkers are strong predictors of morbidity and mortality and may serve as markers for more severe forms of systemic inflammatory disease. Using data from the 2003-2006 and 2009-2014 National Health and Nutrition Examination Survey, we conducted a cross-sectional study to analyze differences in biological age using the Phenoage, Klemara-Doubal, and homeostatic dysregulation algorithms. Survey-weighted chi-square, t-tests, and multivariable linear regression models adjusted for sociodemographics were used to assess biological age advancement (difference between biological and chronological age) between individuals with and without psoriasis, across severity levels (measured using body-surface-area), and by quality of life. Our analytical sample included 18,758 adults, with 523 reporting psoriasis (3%). Psoriasis was associated with a 0.789 year greater mean Phenoage advancement compared to healthy individuals (95% CI: 0.197, 1.382), but no significant differences were found for other biological age clocks nor with severity. “Fair/Poor” health status was associated with a greater age advancement compared to those reporting “excellent” health status (Phenoage B= 3.042, 95% CI: 0.873, 5.211; homeostatic dysregulation B=0.329, 95% CI: 0.016, 0.641). More physically unhealthy (Phenoage B=0.089, 95% CI: 0.020, 0.158; homeostatic dysregulation B= 0.016, 95% CI: 0.005, 0.027) and overall unhealthy (homeostatic dysregulation B=0.011, 95%CI: 0.003, 0.019) days in the past month were also associated with age advancement. Our findings suggest that psoriasis is associated with accelerated biological aging and that self-reported QOL may be a sensitive proxy for accelerated biological aging in this population. Hunter Levingston¹, Austin Le¹, Manasi Lingamaneni¹, Katrina Abuabara² 1. University of Illinois Chicago College of Medicine, Peoria, IL, United States. 2. Dermatology, University of California San Francisco School of Medicine, San Francisco, CA, United States. Clinical Research: Epidemiology and Observational Research