PDF(Pubmed)
Abstract：
There is an increasing awareness that diet-related inflammation may have an impact on the stroke. Herein, our goal was to decipher the association of dietary inflammatory index (DII) with stroke in the US general population.
We collected the cross-sectional data of 44,019 participants of the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The association of DII with stroke was estimated using weighted multivariate logistic regression, with its nonlinearity being examined by restricted cubic spline (RCS) regression. The least absolute shrinkage and selection operator (LASSO) regression was applied for identifying key stroke-related dietary factors, which was then included in the establishment of a risk prediction nomogram model, with the receiver operating characteristic (ROC) curve being built to evaluate its discriminatory power for stroke.
After confounder adjustment, the adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for stroke across higher DII quartiles were 1.19 (0.94-1.54), 1.46 (1.16-1.84), and 1.87 (1.53-2.29) compared to the lowest quartile, respectively. The RCS curve showed a nonlinear and positive association between DII and stroke. The nomogram model based on key dietary factors identified by LASSO regression displayed a considerable predicative value for stroke, with an area under the curve (AUC) of 79.8% (78.2-80.1%).
Our study determined a nonlinear and positive association between DII and stroke in the US general population. Given the intrinsic limitations of cross-sectional study design, it is necessary to conduct more research to ensure the causality of such association.
We collected the cross-sectional data of 44,019 participants of the National Health and Nutrition Examination Survey (NHANES) 1999-2018. The association of DII with stroke was estimated using weighted multivariate logistic regression, with its nonlinearity being examined by restricted cubic spline (RCS) regression. The least absolute shrinkage and selection operator (LASSO) regression was applied for identifying key stroke-related dietary factors, which was then included in the establishment of a risk prediction nomogram model, with the receiver operating characteristic (ROC) curve being built to evaluate its discriminatory power for stroke.
After confounder adjustment, the adjusted odds ratios (ORs) with 95% confidence intervals (CIs) for stroke across higher DII quartiles were 1.19 (0.94-1.54), 1.46 (1.16-1.84), and 1.87 (1.53-2.29) compared to the lowest quartile, respectively. The RCS curve showed a nonlinear and positive association between DII and stroke. The nomogram model based on key dietary factors identified by LASSO regression displayed a considerable predicative value for stroke, with an area under the curve (AUC) of 79.8% (78.2-80.1%).
Our study determined a nonlinear and positive association between DII and stroke in the US general population. Given the intrinsic limitations of cross-sectional study design, it is necessary to conduct more research to ensure the causality of such association.
摘要：
背景：人们越来越认识到饮食相关的炎症可能对中风有影响。在这里，我们的目标是破译美国普通人群中膳食炎症指数(DII)与卒中的关联.
方法：我们收集了1999-2018年国家健康与营养检查调查（NHANES）的44,019名参与者的横截面数据。使用加权多变量逻辑回归估计DII与卒中的关联，通过约束三次样条(RCS)回归检查其非线性。最小绝对收缩和选择算子（LASSO）回归用于识别关键中风相关的饮食因素，然后将其纳入风险预测列线图模型的建立中，建立接收器工作特性（ROC）曲线以评估其对中风的判别力。
结果：经过混淆调整后，在较高DII四分位数中，卒中的调整后比值比(OR)和95%置信区间(CI)为1.19(0.94-1.54)，1.46(1.16-1.84),和1.87(1.53-2.29)，与最低四分位数相比，分别。RCS曲线显示DII与卒中之间存在非线性和正相关。基于LASSO回归确定的关键饮食因素的列线图模型显示出相当大的卒中预测价值。曲线下面积（AUC）为79.8％（78.2-80.1％）。
结论：我们的研究确定了美国普通人群中DII与卒中之间的非线性和正相关。鉴于横断面研究设计的内在局限性，有必要进行更多的研究以确保这种关联的因果关系。
方法：我们收集了1999-2018年国家健康与营养检查调查（NHANES）的44,019名参与者的横截面数据。使用加权多变量逻辑回归估计DII与卒中的关联，通过约束三次样条(RCS)回归检查其非线性。最小绝对收缩和选择算子（LASSO）回归用于识别关键中风相关的饮食因素，然后将其纳入风险预测列线图模型的建立中，建立接收器工作特性（ROC）曲线以评估其对中风的判别力。
结果：经过混淆调整后，在较高DII四分位数中，卒中的调整后比值比(OR)和95%置信区间(CI)为1.19(0.94-1.54)，1.46(1.16-1.84),和1.87(1.53-2.29)，与最低四分位数相比，分别。RCS曲线显示DII与卒中之间存在非线性和正相关。基于LASSO回归确定的关键饮食因素的列线图模型显示出相当大的卒中预测价值。曲线下面积（AUC）为79.8％（78.2-80.1％）。
结论：我们的研究确定了美国普通人群中DII与卒中之间的非线性和正相关。鉴于横断面研究设计的内在局限性，有必要进行更多的研究以确保这种关联的因果关系。
