Volume 23 Issue 4
Apr.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(4): 643-646
GUO Jieyun, YANG Di, MA Huiqing, XIE Hongxiang, SHEN Yan, ZHANG Rong. Diagnostic Value of Systemic Immune-Inflammation Index in Subacute Thyroiditis[J]. Chinese Journal of General Practice, 2025, 23(4): 643-646. doi: 10.16766/j.cnki.issn.1674-4152.003970
Citation: GUO Jieyun, YANG Di, MA Huiqing, XIE Hongxiang, SHEN Yan, ZHANG Rong. Diagnostic Value of Systemic Immune-Inflammation Index in Subacute Thyroiditis[J]. Chinese Journal of General Practice, 2025, 23(4): 643-646. doi: 10.16766/j.cnki.issn.1674-4152.003970
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Diagnostic Value of Systemic Immune-Inflammation Index in Subacute Thyroiditis

doi: 10.16766/j.cnki.issn.1674-4152.003970
  • 1.

    Department of Laboratory, Dongyang Honghui Hospital, Jinhua, Zhejiang 322100, China

Funds:

 2021KY017

 2022KY027

 ZR2020MH116

 Y202146133

 2023ZL009

 KYYB202216

  • Received Date: 2024-01-14
    Available Online: 2025-06-30
    Abstract
  •   Objective  To evaluate the diagnostic value of the systemic immune-inflammation index (SII) in cases of subacute thyroiditis (SAT).  Methods  A retrospective analysis was conducted on the demographic and laboratory data of 127 patients with SAT and 100 healthy controls who were seen in both outpatient and inpatient departments of Zhejiang Provincial People' s Hospital from January 2020 to September 2022. SII, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), CRP, ESR and TSH were compared between patients with SAT and healthy controls, and the correlation between SII and NLR, PLR, CRP, ESR and TSH was analyzed. Stepwise logistic regression analysis was used to screen for independent predictors, and the area under the ROC curve was used to evaluate the diagnostic value of SII in SAT.  Results  In comparison with the healthy control group, the SAT patient group demonstrated significantly elevated SII, NLR, PLR, CRP and ESR, while TSH was significantly reduced (P < 0.001). A significant positive correlation between SII and NLR (r=0.867, P < 0.001), PLR (r=0.788, P < 0.001), CRP (r=0.415, P < 0.001) and ESR (r=0.414, P < 0.001), while SII demonstrated a significant negative correlation with TSH (r=-0.384, P < 0.001). Multivariate regression analysis demonstrates that SII (OR=1.004, P < 0.001), CRP (OR=1.228, P < 0.001), ESR (OR=1.085, P < 0.001) and FT4 (OR=1.748, P < 0.001) were independently influential factors for SAT. When the SII cut-off point was set at 555.8, the AUC was 0.91 (95% CI: 0.87-0.95), with sensitivity set at 90.0% and specificity at 83.4%.  Conclusion  SII has potential application as a practical marker for the diagnosis of SAT disease.

     

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