Association between systemic inflammation indicators and psoriasis: a cross-sectional study from NHANES

Huizi Xiong ¹ Zengyang Yu ^2*

• ¹ The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China
• ² Shanghai Tenth People's Hospital, Tongji University, Shanghai, Shanghai Municipality, China

Objectives: To Investigate the association between systemic inflammatory indicators and psoriasis in the adult population of the United States. Methods: We analyzed data from 16,575 adult participants in the National Health and Nutrition Examination Survey (NHANES) conducted between the years 2003-2004 and 2009-2014. We employed multivariable logistic regression and nonlinear curve fitting methods, which allowed us to evaluate the associations between psoriasis and systemic inflammation indicators such as NPAR, NLR, NHR, LHR, PHR, and MHR. Furthermore, subgroup analyses were performed to investigate whether these results remained true among various demographic groups. Finally, the predictive efficacy of inflammatory indicators was assessed through AUC values and ROC curves.Results: Among the study participants, 432 (2.6%) had psoriasis. There was a remarkable positive association found between psoriasis and NLR, NHR, and NPAR. After adjusting for various confounding factors, it was found that each 100-unit increase in NPAR was associated with a 93% higher chance of developing psoriasis (OR=1.90, 95% CI 1.11-3.26).Similarly, the odds of psoriasis prevalence increased by 10% for every unit rise in NLR (OR=1.10, 95% CI 1.12-1.18). After full adjustment, however, there was no discernible distinction between psoriasis and NHR (OR=1.03, 95% CI 0.98-1.08). Furthermore, the study identified a nonlinear relationship between psoriasis and systemic inflammation indicators like NPAR, NLR, and NHR, with specific breakpoints at 163.864, 3.269, and 4.286, respectively. Subgroup analysis provided additional evidence that this association remained consistent for different demographic groupings. ROC analysis demonstrated that NLR and NPAR showed better accuracy in predicting psoriasis prevalence.The study indicates a positive affiliation between NPAR, NLR, and the occurrence of psoriasis. Nevertheless, to confirm these discoveries and investigate the underlying mechanisms, more extensive prospective research is necessary.