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Objective <p>This study aimed to investigate the correlation between the Systemic immune-inflammation index (SII) and anemia prevalence in children.</p> Methods <p>The study employed a cross-sectional design, analyzing data from 8,157 participants aged less than 18 years. SII was calculated as the platelet count×neutrophil count/lymphocyte count. Anemia is defined using the World Health Organization (WHO) guidelines based on normal hemoglobin (HGB) values for different ages and genders. Logistic regression analyses, subgroup analyses and sensitivity analyses were performed to investigate the relationship between SII and anemia.</p> Results <p>Our study included a total of 8157patients, of which 409 (5.0%) had anemia. The multivariate logistic regression analysis showed that higher levels of SII were associated with a higher risk of developing anemia (OR = 1.69, 95% CI: 1.27–2.25, <i>p</i> &lt; 0.01). The relationship between SII and anemia followed a linear pattern(p-value for nonlinearity&gt;0.05). Subgroup analysis showed that there was no significant dependence on gender, race, family size, Poverty-income ratio (PIR), asthma, diabetes, and vitamin D except age on this positive association. Furthermore, sensitivity analyses confirmed the robustness of our results.</p> Conclusion <p>Our findings indicate that SII levels are positively linked to anemia in children. Monitoring SII levels may facilitate early identification of high-risk pediatric anemia groups, enabling targeted interventions. SII could be a cost-effective and simple anemia identification tool, though this needs confirmation via more prospective studies. This approach holds potential for enhancing public health policy and child health management.</p>

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Association between the systemic immune-inflammation index and anemia among US children: national health and nutrition examination survey (NHANES), 2001–2018

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  • 发表日期：

    2025年8月1日

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  • Yingjie Su,
  • Xiaofo Zhang,
  • Jie Jiang,
  • Juan Zhang,
  • Fang Chen

摘要

Objective

This study aimed to investigate the correlation between the Systemic immune-inflammation index (SII) and anemia prevalence in children.

Methods

The study employed a cross-sectional design, analyzing data from 8,157 participants aged less than 18 years. SII was calculated as the platelet count×neutrophil count/lymphocyte count. Anemia is defined using the World Health Organization (WHO) guidelines based on normal hemoglobin (HGB) values for different ages and genders. Logistic regression analyses, subgroup analyses and sensitivity analyses were performed to investigate the relationship between SII and anemia.

Results

Our study included a total of 8157patients, of which 409 (5.0%) had anemia. The multivariate logistic regression analysis showed that higher levels of SII were associated with a higher risk of developing anemia (OR = 1.69, 95% CI: 1.27–2.25, p < 0.01). The relationship between SII and anemia followed a linear pattern(p-value for nonlinearity>0.05). Subgroup analysis showed that there was no significant dependence on gender, race, family size, Poverty-income ratio (PIR), asthma, diabetes, and vitamin D except age on this positive association. Furthermore, sensitivity analyses confirmed the robustness of our results.

Conclusion

Our findings indicate that SII levels are positively linked to anemia in children. Monitoring SII levels may facilitate early identification of high-risk pediatric anemia groups, enabling targeted interventions. SII could be a cost-effective and simple anemia identification tool, though this needs confirmation via more prospective studies. This approach holds potential for enhancing public health policy and child health management.