全身炎症反应指数与肺癌患病率的关联性:基于NHANES数据库的横断面研究

Association Between Systemic Inflammatory Response Index and Lung Cancer Prevalence: A Cross-Sectional Study Based on the NHANES Database

  • 摘要: 目的 基于美国国家健康与营养调查(National Health and Nutrition Examination Survey,NHANES)数据库,探讨全身炎症反应指数(systemic inflammatory response index,SIRI)与肺癌患病率之间的关联性。方法 本研究为横断面研究,整合NHANES数据库中1999—2018年间共10个连续调查周期数据,采用多因素Logistic回归模型评估SIRI与肺癌患病率之间的关联性并进行趋势检验,以评估肺癌患病率随SIRI水平升高是否存在线性趋势。采用限制性立方样条(restricted cubic spline,RCS)进一步分析SIRI与肺癌患病率的关联性及非线性关系,并通过亚组分析和敏感性分析评估结果的稳健性。结果 共纳入35 372名参与者,随着SIRI水平升高,参与者的平均年龄呈显著递增趋势(P<0.001)。肺癌总体患病率为0.21%,其中Q4组患病率最高(0.47%),组间比较差异具有统计学意义(P<0.001)。调整混杂因素后,SIRI每增加1个单位,与肺癌患病率相关的OR值为1.36 (95%CI:1.18~1.58,P<0.001)。以SIRI最低分位(Q1)为参照,Q4组肺癌患病率更高,OR值为3.95 (95%CI:1.65~9.45,P=0.002)。趋势检验显示,随着SIRI四分位升高,肺癌患病率呈显著上升趋势(P趋势=0.003)。RCS分析显示,SIRI与肺癌患病率之间存在显著关联(P<0.001),不存在显著非线性关系(P=0.425)。亚组分析表明,该关联在不同特征人群中均不存在显著交互作用(P交互均>0.05)。敏感性分析显示,SIRI作为连续变量与肺癌患病率的关联性仍显著(OR=1.34,95%CI:1.20~1.51,P<0.001)。结论 SIRI水平升高与肺癌患病率增加呈正向关联,该关联具有稳健性。SIRI作为一种简便、经济的炎症标志物,在肺癌患病相关分层评估中具有一定的应用潜力。

     

    Abstract: Objective To investigate the association between the systemic inflammatory response index (SIRI) and lung cancer prevalence based on the National Health and Nutrition Examination Survey (NHANES) database. Methods This cross-sectional study integrated data from 10 consecutive survey cycles of the NHANES database between 1999 and 2018. Multivariable logistic regression models were used to evaluate the association between SIRI and lung cancer prevalence, and a trend test was performed to assess whether there was a linear trend in lung cancer prevalence with increasing SIRI levels. Restricted cubic spline (RCS) analysis was further performed to examine the association and potential nonlinear relationship between SIRI and lung cancer prevalence. Subgroup analyses and sensitivity analyses were conducted to assess the robustness of the results. Results A total of 35 372 participants were included. With increasing SIRI levels, the mean age of participants showed a significant increasing trend (P<0.001). The overall prevalence of lung cancer was 0.21%, with the highest prevalence observed in the Q4 group (0.47%), and the difference among groups was statistically significant (P<0.001). After adjustment for confounding factors, each 1-unit increase in SIRI was associated with an odds ratio (OR) for lung cancer prevalence of 1.36 (95% CI:1.18-1.58, P<0.001). Using the lowest SIRI quartile (Q1) as the reference, the Q4 group had a higher lung cancer prevalence, with an OR of 3.95 (95% CI:1.65-9.45, P=0.002). The trend test showed a significant increasing trend in lung cancer prevalence with increasing SIRI quartiles (Ptrend=0.003). RCS analysis revealed a significant overall association between SIRI and lung cancer prevalence (P<0.001), with no significant nonlinear relationship detected (P=0.425). Subgroup analyses indicated no significant interactions across different population characteristics (all Pinteraction > 0.05). Sensitivity analyses showed that the association between SIRI as a continuous variable and lung cancer prevalence remained significant (OR=1.34, 95% CI:1.20-1.51, P<0.001). Conclusions Elevated SIRI levels are positively associated with increased lung cancer prevalence, and this association is robust. SIRI, as a simple and cost-effective inflammatory marker, has potential value in risk stratification for lung cancer prevalence.

     

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