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The association of systemic inflammatory biomarkers with non-alcoholic fatty liver disease: a large population-based cross-sectional study.
Sun, Wu; Fang, Yan; Zhou, Bing; Mao, Guoliang; Cheng, Jiao; Zhang, Xinxin; Liu, Yinhua; Chen, Hao.
Afiliação
  • Sun W; Department of Pathology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241000, China.
  • Fang Y; Department of Pathology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241000, China.
  • Zhou B; Department of Pathology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241000, China.
  • Mao G; Department of Pathology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241000, China.
  • Cheng J; Department of Pathology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241000, China.
  • Zhang X; Department of Criminal Science and Technology, Shandong Police College, Jinan, Shandong 250014, China.
  • Liu Y; Department of Pathology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui 241000, China.
  • Chen H; Department of Pathology, School of Basic Medical Sciences, Wannan Medical College, Wuhu, Anhui 241002, China.
Prev Med Rep ; 37: 102536, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38186662
ABSTRACT

Purpose:

The aim of this study was to explore the relationship between non-alcoholic fatty liver disease (NAFLD) and the two blood inflammatory markers including the systemic immune-inflammation (SII) index, and the system inflammation response index (SIRI).

Methods:

The National Health and Nutrition Examination Survey data between the year of 2017-2018 was used for this cross-sectional study. In order to analyze the association of SII index, and SIRI and risk of NAFLD, we used multivariable logistic regression models, restricted cubic spline (RCS) plot, and subgroup analysis to analyze the data.

Results:

In total, there were 1,199 individuals who participated in the survey. As shown by the RCS plot, SII index, and SIRI were linked with NAFLD risk in a U-shaped pattern. With regard to known confounding variables, when comparing the lowest quartile, the odds ratio with 95 % confidence interval for prevalence of NAFLD across the quartiles of SII index and SIRI were (0.89 (0.57, 1.41), 0.56 (0.35, 0.89) and 1.01 (0.64, 1.59)), and (0.77 (0.48, 1.23), 0.79 (0.50, 1.24) and 0.94 (0.60, 1.47)), respectively. Additionally, SII index, and SIRI and NAFLD risk also were U-curve correlated among the participants in age ≥60 years, female, without hypertension, and BMI of ≥30 kg/m2.

Conclusions:

There was a U-shaped association of SII index and SIRI with prevalence of NAFLD, indicating that SII index and SIRI should be monitored dynamically.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Prev Med Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Prev Med Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos