复合膳食抗氧化指数与糖尿病患者全因死亡的关联研究

Association between composite dietary antioxidant index and all-cause mortality in patients with diabetes

  • 摘要:
    目的 基于美国国家健康与营养调查(NHANES)数据库, 探讨复合膳食抗氧化指数(CDAI)与糖尿病患者全因死亡风险的关联。
    方法 研究数据来源于1999—2018年NHANES数据库,共纳入8 365例糖尿病参与者; 死亡结果数据通过将NHANES相关数据与美国国家死亡索引(NDI)数据库记录进行匹配获取。采用加权Cox比例风险回归模型分析CDAI与糖尿病患者全因死亡风险的关联; 绘制Kaplan-Meier生存曲线,并通过Log-rank检验比较不同CDAI水平组随访期间生存率差异; 采用限制性立方样条(RCS)模型拟合CDAI与全因死亡风险的非线性关系,并进一步开展阈值效应分析。
    结果 加权Cox比例风险回归模型分析显示, CDAI是糖尿病患者全因死亡的保护性因素(P < 0.01); 校正协变量后, CDAI仍与糖尿病患者全因死亡风险独立相关(P < 0.01); CDAI最高三分位(Q3组)患者的全因死亡风险是最低三分位(Q1组)患者的0.79倍。Kaplan-Meier生存曲线显示,低水平CDAI组(Q1组, CDAI < -1.58)患者的生存率低于高水平CDAI组(Q3组, CDAI≥1.16), 差异有统计学意义(Log-rank P < 0.01)。RCS分析显示, CDAI与糖尿病患者全因死亡风险存在非线性关系(整体趋势P < 0.01, 非线性检验P < 0.01); 阈值效应分析表明,当CDAI < 4.349时, CDAI与全因死亡风险呈负相关(HR=0.97, 95%CI: 0.95~0.99, P < 0.01); 当CDAI≥4.349时, CDAI与全因死亡风险无显著关联(HR=1.01, 95%CI: 0.99~1.03, P=0.34)。
    结论 CDAI水平与糖尿病患者的全因死亡风险存在显著关联,高水平CDAI是糖尿病患者全因死亡的保护性因素。

     

    Abstract:
    Objective To explore the association between the composite dietary antioxidant index (CDAI) and the risk of all-cause mortality in patients with diabetes based on the National Health and Nutrition Examination Survey (NHANES) database.
    Methods The study data were obtained from the NHANES database from 1999 to 2018, and a total of 8 365 diabetic participants were included. The mortality outcome data were acquired by matching relevant NHANES data with records from the National Death Index (NDI) database. A weighted Cox proportional hazards regression model was used to analyze the association between CDAI and the risk of all-cause mortality in patients with diabetes. Kaplan-Meier survival curves were plotted, and the Log rank test was used to compare the differences in survival rates during follow-up among groups with different CDAI levels. A restricted cubic spline (RCS) model was employed to fit the non-linear relationship between CDAI and the risk of all-cause mortality, and a threshold effect analysis was further conducted.
    Results The weighted Cox proportional hazards regression model analysis showed that CDAI was a protective factor for all-cause mortality in patients with diabetes (P < 0.01). After adjusting for covariates, CDAI remained independently associated with the risk of all-cause mortality in patients with diabetes (P < 0.01). The risk of all-cause mortality in patients in the highest tertile (Q3 group) of CDAI was 0.79 times that of patients in the lowest tertile (Q1 group). The Kaplan-Meier survival curves indicated that the survival rate of patients in the low-level CDAI group (Q1 group, CDAI < -1.58) was lower than that of patients in the high-level CDAI group (Q3 group, CDAI≥1.16), and the difference was statistically significant (Log rank P < 0.01). The RCS analysis revealed a non-linear relationship between CDAI and the risk of all-cause mortality in patients with diabetes (overall trend P < 0.01, non-linearity test P < 0.01). The threshold effect analysis showed that when CDAI < 4.349, CDAI was negatively correlated with the risk of all-cause mortality (HR=0.97, 95%CI, 0.95 to 0.99, P < 0.01); when CDAI≥4.349, there was no significant association between CDAI and the risk of all-cause mortality (HR=1.01, 95%CI, 0.99 to 1.03, P=0.34).
    Conclusion There is a significant association between CDAI level and the risk of all-cause mortality in patients with diabetes, and a high level of CDAI is a protective factor for all-cause mortality in patients with diabetes.

     

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