Abstract：
BACKGROUND: Immune-inflammatory mediators influence numerous immune and inflammatory pathways, elevating the likelihood of depression. The systemic immune-inflammation index (SII) emerges as an innovative prognostic indicator, integrating various peripheral blood immune cell subpopulations, specifically neutrophils, platelets, and lymphocytes. This exploratory study aims to examine the correlation between SII and depression.
METHODS: Data from the 2005-2020 National Health and Nutrition Examination Survey (NHANES) were utilized. Depression was diagnosed with a Patient Health Questionnaire score of 10 or higher. The relationship between log2-SII and depression incidence was analyzed using a restricted cubic spline (RCS). Logistic regression was employed to calculate the odds ratio of depression concerning log2-SII. In cases of non-linearity, piecewise linear models with change points were applied to assess the associations in both the overall population and specific subgroups. Additionally, subgroup analyses were conducted to determine the applicability of the findings to particular populations.
RESULTS: A total of 42,133 participants were included in the study, comprising 49.32 % men and 50.68 % women, with an average age of 47.02 ± 17.45 years. RCS analysis demonstrated a J-shaped non-linear relationship between log2-SII and depression incidence. When log2-SII was ≥8.50, SII showed a positive association with depression incidence, even after adjusting for covariates. Additionally, each unit increase in log2-SII corresponded to an 18 % rise in depression incidence (OR = 1.18, 95 % CI: 1.10-1.27). Subgroup analysis further revealed that the association between SII and depression incidence varied across different populations.
CONCLUSIONS: Due to the cross-sectional nature of NHANES, causality or long-term implications cannot be inferred. Further research is needed to ascertain if a longitudinal relationship exists between SII and depression.
CONCLUSIONS: Our findings suggest a significant and complex non-linear association between SII and depression. However, further basic and prospective studies are necessary to explore SII\'s impact on depression and clarify its underlying mechanisms. Additionally, these studies will provide a foundation for personalized interventions targeting the immune-inflammatory processes in patients with depression and elevated SII.
METHODS: Data from the 2005-2020 National Health and Nutrition Examination Survey (NHANES) were utilized. Depression was diagnosed with a Patient Health Questionnaire score of 10 or higher. The relationship between log2-SII and depression incidence was analyzed using a restricted cubic spline (RCS). Logistic regression was employed to calculate the odds ratio of depression concerning log2-SII. In cases of non-linearity, piecewise linear models with change points were applied to assess the associations in both the overall population and specific subgroups. Additionally, subgroup analyses were conducted to determine the applicability of the findings to particular populations.
RESULTS: A total of 42,133 participants were included in the study, comprising 49.32 % men and 50.68 % women, with an average age of 47.02 ± 17.45 years. RCS analysis demonstrated a J-shaped non-linear relationship between log2-SII and depression incidence. When log2-SII was ≥8.50, SII showed a positive association with depression incidence, even after adjusting for covariates. Additionally, each unit increase in log2-SII corresponded to an 18 % rise in depression incidence (OR = 1.18, 95 % CI: 1.10-1.27). Subgroup analysis further revealed that the association between SII and depression incidence varied across different populations.
CONCLUSIONS: Due to the cross-sectional nature of NHANES, causality or long-term implications cannot be inferred. Further research is needed to ascertain if a longitudinal relationship exists between SII and depression.
CONCLUSIONS: Our findings suggest a significant and complex non-linear association between SII and depression. However, further basic and prospective studies are necessary to explore SII\'s impact on depression and clarify its underlying mechanisms. Additionally, these studies will provide a foundation for personalized interventions targeting the immune-inflammatory processes in patients with depression and elevated SII.
摘要：
背景：免疫炎症介质影响许多免疫和炎症途径，提高抑郁症的可能性。全身免疫炎症指数（SII）作为一种创新的预后指标，整合各种外周血免疫细胞亚群，特别是中性粒细胞，血小板,和淋巴细胞。这项探索性研究旨在研究SII与抑郁症之间的相关性。
方法：使用了来自2005-2020年国家健康和营养调查（NHANES）的数据。抑郁症被诊断为患者健康问卷评分为10分或更高。使用受限三次样条（RCS）分析了log2-SII与抑郁症发生率之间的关系。采用Logistic回归计算log2-SII抑郁的比值比。在非线性的情况下，我们采用带变化点的分段线性模型来评估总体人群和特定亚组的关联.此外,我们进行了亚组分析,以确定研究结果对特定人群的适用性.
结果：共有42,133名参与者被纳入研究，男性占49.32%，女性占50.68%，平均年龄47.02±17.45岁。RCS分析显示log2-SII与抑郁症发病率之间呈J形非线性关系。当log2-SII≥8.50时，SII与抑郁症的发生率呈正相关，即使在调整了协变量之后。此外,log2-SII每增加一个单位,就相当于抑郁症发病率增加18%(OR=1.18,95%CI:1.10-1.27).亚组分析进一步显示，SII与抑郁症发病率之间的关联在不同人群中有所不同。
结论：由于NHANES的横截面性质，因果关系或长期影响无法推断。需要进一步的研究来确定SII和抑郁症之间是否存在纵向关系。
结论：我们的研究结果表明SII与抑郁症之间存在显著且复杂的非线性关联。然而,需要进一步的基础和前瞻性研究来探索SII对抑郁症的影响并阐明其潜在机制。此外,这些研究将为针对抑郁症和SII升高患者免疫炎症过程的个性化干预提供基础.
方法：使用了来自2005-2020年国家健康和营养调查（NHANES）的数据。抑郁症被诊断为患者健康问卷评分为10分或更高。使用受限三次样条（RCS）分析了log2-SII与抑郁症发生率之间的关系。采用Logistic回归计算log2-SII抑郁的比值比。在非线性的情况下，我们采用带变化点的分段线性模型来评估总体人群和特定亚组的关联.此外,我们进行了亚组分析,以确定研究结果对特定人群的适用性.
结果：共有42,133名参与者被纳入研究，男性占49.32%，女性占50.68%，平均年龄47.02±17.45岁。RCS分析显示log2-SII与抑郁症发病率之间呈J形非线性关系。当log2-SII≥8.50时，SII与抑郁症的发生率呈正相关，即使在调整了协变量之后。此外,log2-SII每增加一个单位,就相当于抑郁症发病率增加18%(OR=1.18,95%CI:1.10-1.27).亚组分析进一步显示，SII与抑郁症发病率之间的关联在不同人群中有所不同。
结论：由于NHANES的横截面性质，因果关系或长期影响无法推断。需要进一步的研究来确定SII和抑郁症之间是否存在纵向关系。
结论：我们的研究结果表明SII与抑郁症之间存在显著且复杂的非线性关联。然而,需要进一步的基础和前瞻性研究来探索SII对抑郁症的影响并阐明其潜在机制。此外,这些研究将为针对抑郁症和SII升高患者免疫炎症过程的个性化干预提供基础.
