营养不良
医学
逻辑回归
腹膜透析
内科学
单变量分析
体质指数
多元分析
生物电阻抗分析
人体测量学
透析
炎症
风险因素
浪费的
单变量
微量营养素
作者
Jiaqian Zhong,Chuang Fan,Lin Li,Jiaming Wang,Huo Li,Zhongbo Bian,Hao Wang,Zhangming Pei,Hongchao Wang,Wenwei Lu,Juan Li
标识
DOI:10.3389/fnut.2025.1664787
摘要
Objective Chronic inflammation is prevalent in peritoneal dialysis (PD) patients, however, the potential impact of diet-related inflammation on PD patients has not been fully investigated. We aimed to explore the association between the Energy-adjusted dietary inflammatory index (E-DII) and malnutrition status in PD patients. Methods A total of 147 PD patients from Shanghai Changzheng Hospital were included in this cross-sectional study. E-DII were calculated from the dietary data collected using a validated Food Frequency Questionnaire (FFQ). Malnutrition was determined according to the Malnutrition-Inflammation Score (MIS). Least absolute shrinkage and selection operator (LASSO) regression was carried out to screen the key nutrients associated with the risk of malnutrition. Univariate and multivariate logistic regression analyses were employed to explore the association between the key nutrients, E-DII and malnutrition. Results The mean E-DII score was −0.367, ranging from − 2.958 to 2.379. The mean duration of PD was 47.9 months. The overall prevalence of malnutrition was 48.3%. The key dietary nutrient associated with malnutrition was total fiber. In fully adjusted model, higher total fiber intake was associated with a lower risk of malnutrition in PD patients (OR tertile 3 vs. 1 = 0.29, 95% CI: 0.10–0.80, p = 0.018). Conversely, a higher E-DII score was associated with a higher risk of malnutrition (OR tertile 3 vs. 1 = 3.64, 95% CI: 1.25–10.64, p = 0.018). Conclusion Diets high in total fiber were associated with a reduced risk of malnutrition in PD patients. On the other hand, pro-inflammatory diets are associated with an increased risk of malnutrition in PD patients. Further studies are needed to validate and develop strategies to reduce the dietary inflammatory burden in PD patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI