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Relationship between inflammatory indicators and bone mineral density in preschool children
Ying Hu1, Xue-Yi Jin1, Xue-Qian Mao1
1Department of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China.
Insights
Inflammatory markers like PIV, SII, and NLR are linked to increased bone mineral density (BMD) in preschoolers. PIV shows potential for predicting low BMD risk in this age group.
Area of Science:
- Pediatric Endocrinology
- Inflammation and Immunology
- Bone Metabolism
Background:
- Bone mineral density (BMD) is crucial for skeletal health in children.
- Understanding factors influencing pediatric BMD is essential for early intervention.
- The role of inflammatory markers in pediatric bone health requires further investigation.
Purpose of the Study:
- To explore the association between inflammatory indicators and BMD in preschool children.
- To identify potential inflammatory markers for predicting BMD insufficiency.
- To investigate the relationship between inflammation and bone metabolism markers in children.
Main Methods:
- A cohort of 393 preschool children (aged 4-6 years) was studied.
- Inflammatory indicators (NLR, PLR, SII, PIV) were calculated from complete blood counts.
- Covariance analysis, ROC curve analysis, and multiple linear regression were employed.
Main Results:
- NLR, PIV, and SII showed a positive association with BMD increments.
- PIV and SII demonstrated predictive ability for low BMD (AUC > 0.55).
- PIV correlated positively with osteocalcin and 25(OH)D; SII correlated with osteocalcin.
Conclusions:
- NLR, SII, and PIV are positively associated with increased BMD in preschool children.
- PIV emerges as a promising tool for predicting BMD insufficiency risk.
- Findings suggest a distinct role for chronic inflammation in pediatric bone health.
Background:
To investigate the relationship between inflammatory indicators and bone mineral density in preschool children.
Methods:
The study population consisted of 393 preschool children aged 4-6 years. NLR, PLR, SII, and PIV were calculated based on lymphocyte counts, neutrophil counts, platelet counts and monocyte counts derived from a complete blood count test. The relationships between inflammatory indicators with BMD increment were analyzed using covariance analysis. ROC curve analysis was used to find a cut-off point for inflammatory indicators that can be assessed for BMD insufficiency. Multiple linear regression models were used to analyze the association between inflammatory indicators and bone metabolism markers.
Results:
NLR (p-trend = 0.010), PIV (p-trend = 0.004) and SII (p-trend = 0.015) were positively associated with BMD increments, whereas PLR was not. ROC curve analysis showed that PIV (AUC = 0.58, 95% CI 0.52-0.64) and SII (AUC = 0.56, 95% CI 0.50-0.62) can predict low BMD, with PIV having the highest ability to predict. PIV was positively associated with osteocalcin and 25⁃(OH)D, whereas SII was positively associated with osteocalcin only.
Conclusion:
PIV, SII, and NLR were positively associated with BMD increment. The study suggests that PIV holds promise as a potential tool for predicting the risk of BMD insufficiency in preschool children.
Impact:
After controlling for various confounders during a 1-year observation period, significant associations were found between the inflammatory indicators NLR, SII, and PIV and increased left-sided heel BMD in preschool children, exploring the finding that chronic inflammation plays a different role in children's bone health than it does in adults. Our findings found that PIV holds promise as a potential tool for predicting the risk of BMD insufficiency in preschool children. Focusing on bone mineral density in preschool children, this study provides valuable evidence and fills a gap in research on this age group. In the study, osteocalcin was also found to be positively correlated with SII and PIV and 25⁃(OH)D was positively correlated with PIV. They may provide potential avenues to enhance understanding of the effects of inflammation on bone.
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