Tian Tu-Lei, Zhi Tian-Yu, Xie Mei-Ling, Jiang Ya-Lin, Qu Xiang-Kun
Department of Respiratory and Critical Care Medicine, The Affiliated Bozhou Hospital of Anhui Medical University, Bozhou, Anhui, China.
Department of Clinical Medicine (5+3 Integrated Program), Shanxi Medical University, Taiyuan, China.
Front Nutr. 2024 Sep 25;11:1421450. doi: 10.3389/fnut.2024.1421450. eCollection 2024.
Chronic inflammation is closely linked to Chronic Obstructive Pulmonary Disease (COPD); however, the impact of the Dietaryq Inflammatory Index (DII) on mortality among COPD patients remains uncertain.
To assess the correlation between the DII and all-cause mortality in COPD patients using data from the National Health and Nutrition Examination Survey (NHANES).
We conducted a retrospective cohort study on 1,820 COPD patients from the NHANES dataset (1999-2018). The influence of DII on mortality was evaluated using multivariate Cox regression, smoothing spline fitting, and threshold effect analysis. Additionally, Kaplan-Meier survival analysis was performed to compare survival curves among different DII groups. Subgroup analyses and E-values identified sensitive cohorts and assessed unmeasured confounding.
Over an average follow-up of 91 months, multivariate Cox regression models revealed a significant positive correlation between DII scores and mortality risk, with each unit increase in DII associated with a 10% higher risk of death (HR: 1.10, 95% CI: 1.03-1.16; P = 0.002). Among the DII tertiles, individuals in the second tertile (T2: 1.23-2.94) experienced a 67% increase in mortality risk compared to those in the lowest tertile (T1: -5.28-1.23) (HR: 1.67, 95% CI: 1.26-2.21; < 0.001). The third tertile (T3) did not show a statistically significant increase in mortality risk (HR: 1.30, 95% CI: 0.98-1.72; =0.074). A restricted cubic spline analysis indicated a significant nonlinear association between DII and all-cause mortality ( = 0.021). Threshold effect analysis further revealed that below a DII of 2.19, there was a significant increase in all-cause mortality risk (HR = 1.19, 95% CI: 1.07-1.33; = 0.002), while at or above this threshold, the risk increase was not statistically significant (HR=0.89, 95% CI: 0.68-1.15; = 0.380). Kaplan-Meier analysis revealed significant differences in survival curves among DII tertiles ( < 0.001), with the lowest DII tertile showing the highest survival probability. Both subgroup and sensitivity analyses confirmed the robustness of these findings.
DII is positively correlated with mortality risk in COPD patients, showing nonlinear characteristics and threshold effects, underscoring its prognostic value.
慢性炎症与慢性阻塞性肺疾病(COPD)密切相关;然而,饮食炎症指数(DII)对COPD患者死亡率的影响仍不确定。
利用美国国家健康与营养检查调查(NHANES)的数据,评估DII与COPD患者全因死亡率之间的相关性。
我们对NHANES数据集(1999 - 2018年)中的1820例COPD患者进行了回顾性队列研究。使用多变量Cox回归、平滑样条拟合和阈值效应分析评估DII对死亡率的影响。此外,进行了Kaplan - Meier生存分析以比较不同DII组之间的生存曲线。亚组分析和E值确定了敏感队列并评估了未测量的混杂因素。
在平均91个月的随访中,多变量Cox回归模型显示DII评分与死亡风险之间存在显著正相关,DII每增加一个单位,死亡风险就会增加10%(风险比:1.10,95%置信区间:1.03 - 1.16;P = 0.002)。在DII三分位数中,第二三分位数(T2:1.23 - 2.94)的个体与最低三分位数(T1: - 5.28 - 1.23)的个体相比,死亡风险增加了67%(风险比:1.67,95%置信区间:1.26 - 2.21;P < 0.001)。第三三分位数(T3)的死亡风险没有显示出统计学上的显著增加(风险比:1.30,95%置信区间:0.98 - 1.72;P = 0.074)。受限立方样条分析表明DII与全因死亡率之间存在显著的非线性关联(P = 0.021)。阈值效应分析进一步表明,当DII低于2.19时,全因死亡风险显著增加(风险比 = 1.19,95%置信区间:1.07 - 1.33;P = 0.002),而在该阈值及以上,风险增加无统计学意义(风险比 = 0.89,95%置信区间:0.68 - 1.15;P = 0.380)。Kaplan - Meier分析显示DII三分位数之间的生存曲线存在显著差异(P < 0.001),最低DII三分位数的生存概率最高。亚组分析和敏感性分析均证实了这些发现的稳健性。
DII与COPD患者的死亡风险呈正相关,具有非线性特征和阈值效应,强调了其预后价值。