Association between systemic immune inflammation index, systemic inflammation response index and adult psoriasis: evidence from NHANES

Rui Ma; Lian Cui; Jiangluyi Cai; Nan Yang; Yuanyuan Wang; Qianyu Chen; Wenjuan Chen; Chen Peng; Hui Qin; Yangfeng Ding; Xin Wang; Qian Yu; Yuling Shi

doi:10.3389/fimmu.2024.1323174

Association between systemic immune inflammation index, systemic inflammation response index and adult psoriasis: evidence from NHANES

Front Immunol. 2024 Feb 13:15:1323174. doi: 10.3389/fimmu.2024.1323174. eCollection 2024.

Authors

Rui Ma^#^{1

2}, Lian Cui^#^{1

2}, Jiangluyi Cai^#^{1

2}, Nan Yang^{1

2}, Yuanyuan Wang^{1

2}, Qianyu Chen^{1

2}, Wenjuan Chen^{1

2}, Chen Peng^{1

2}, Hui Qin^{1

2}, Yangfeng Ding^{1

2}, Xin Wang^{1

2}, Qian Yu^{2

3}, Yuling Shi^{1

2}

Affiliations

¹ Department of Dermatology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
² Institute of Psoriasis, Tongji University School of Medicine, Shanghai, China.
³ Department of Dermatology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.

^# Contributed equally.

Abstract

Background: The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are both novel biomarkers and predictors of inflammation. Psoriasis is a skin disease characterized by chronic inflammation. This study aimed to investigate the potential association between SII, SIRI, and adult psoriasis.

Methods: Data of adults aged 20 to 80 years from the National Health and Nutrition Examination Survey (NHANES) (2003-2006, 2009-2014) were utilized. The K-means method was used to group SII and SIRI into low, medium, and high-level clusters. Additionally, SII or SIRI levels were categorized into three groups: low (1^st-3^rd quintiles), medium (4^th quintile), and high (5^th quintile). The association between SII-SIRI pattern, SII or SIRI individually, and psoriasis was assessed using multivariate logistic regression models. The results were presented as odds ratios (ORs) and confidence intervals (CIs). Restricted cubic spline (RCS) regression, subgroup, and interaction analyses were also conducted to explore the potential non-linear and independent relationships between natural log-transformed SII (lnSII) levels or SIRI levels and psoriasis, respectively.

Results: Of the 18208 adults included in the study, 511 (2.81%) were diagnosed with psoriasis. Compared to the low-level group of the SII-SIRI pattern, participants in the medium-level group had a significantly higher risk for psoriasis (OR = 1.40, 95% CI: 1.09, 1.81, p-trend = 0.0031). In the analysis of SII or SIRI individually, both SII and SIRI were found to be positively associated with the risk of psoriasis (high vs. low group OR = 1.52, 95% CI: 1.18, 1.95, p-trend = 0.0014; OR = 1.48, 95% CI: 1.12, 1.95, p-trend = 0.007, respectively). Non-linear relationships were observed between lnSII/SIRI and psoriasis (both p-values for overall < 0.05, p-values for nonlinearity < 0.05). The association between SII levels and psoriasis was stronger in females, obese individuals, people with type 2 diabetes, and those without hypercholesterolemia.

Conclusion: We observed positive associations between SII-SIRI pattern, SII, SIRI, and psoriasis among U.S. adults. Further well-designed studies are needed to gain a better understanding of these findings.

Keywords: NHANES; adults; psoriasis; systemic immune-inflammation index; systemic inflammation response index.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adult
Data Interpretation, Statistical
Diabetes Mellitus, Type 2*
Female
Humans
Inflammation
Nutrition Surveys
Psoriasis*

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by funding from China Postdoctoral Science Foundation (2023M732651), National Key Research and Development Program of China (2023YFC2508106), Clinical Research Plan of SHDC (no. SHDC2020CR1014B), the National Natural Science Foundation of China (82203907, 82273510, 82103712, 82003334), the Innovation Program of Shanghai Municipal Education Commission (2019-01-07-00-07-E00046), Program of Shanghai Academic Research Leader (20XD1403300), Shanghai Pujiang Program (No. 22PJD058), Talent Plan of Shanghai Municipal Health Commission (no.2022YQ057), and Clinical Research Plan of Shanghai Municipal Health Commission (no.20214Y0337, 202340006).