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Deciphering the Threshold and Segmented Nonlinear Association Between Systemic Inflammation Response Index and Spinal
Muradil Mardan1, Ze-Yu Lu1, Qing-Yin Xu1
1Spine Center, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Global Spine Journal
|May 21, 2025
Summary
The Systemic Immune-Inflammation Index (SIRI) shows a complex link with spinal bone mineral density (BMD). Age, hypertension, and diabetes modify this relationship, suggesting SIRI may indicate osteoporosis risk.
Area of Science:
- Immunology
- Gerontology
- Endocrinology
Background:
- The Systemic Immune-Inflammation Index (SIRI), derived from neutrophil, monocyte, and lymphocyte counts, is increasingly recognized for its role in systemic inflammation.
- Bone mineral density (BMD) is a critical indicator of skeletal health, with declines associated with increased fracture risk.
Purpose of the Study:
- To investigate the association between SIRI and spinal BMD in a large adult population.
- To evaluate how age, hypertension, and diabetes influence the relationship between SIRI and spinal BMD.
Main Methods:
- A cross-sectional study analyzed data from 13,950 participants aged 20 years and older.
- SIRI was calculated from complete blood count data, and spinal BMD was measured using dual-energy X-ray absorptiometry (DXA).
- Linear regression, generalized additive models, and segmented regression analyses were employed, including subgroup analyses.
Main Results:
- A threshold effect for SIRI on spinal BMD was identified at 0.68.
- Below this threshold, SIRI was negatively correlated with spinal BMD (β = -0.0412, P = 0.0494).
- Above the threshold, SIRI showed a positive correlation with spinal BMD (β = 0.0079, P < 0.0001), with stronger associations observed in older adults and individuals with hypertension or diabetes.
Conclusions:
- A segmented, nonlinear relationship exists between SIRI and spinal BMD.
- Age, hypertension, and diabetes significantly modify this association.
- SIRI may serve as a potential biomarker for assessing osteoporosis risk.

