营养相关指标与老年人慢性阻塞性肺病风险和全因死亡率之间的关系:来自 NHANES 的证据

Yifeng Xu, Zhaoqi Yan, Keke Li, Liangji Liu, Lei Xu
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引用次数: 0

摘要

本研究旨在利用六项营养相关指标评估营养状况与慢性阻塞性肺疾病风险以及全因死亡率之间的关系,并确定最可靠的预测指标。研究人员从美国国家健康与营养调查(NHANES)中提取了2013年至2018年的数据。营养状况采用控制营养状况(CONUT)评分、老年营养风险指数(GNRI)、晚期肺癌炎症指数(ALI)、预后营养指数(PNI)、甘油三酯(TG)×总胆固醇(TC)×体重(BW)指数(TCBI)和白蛋白与球蛋白比率(AGR)等营养相关指标进行评估。采用多变量加权逻辑回归模型和 Cox 回归模型来评估六项营养相关指标与慢性阻塞性肺病和全因死亡风险之间的相关性。应用限制性三次样条检验来探索潜在的非线性关系,并通过 ROC 曲线和 C 指数分析来比较不同指标的预测能力。在这项研究中,较低的 ALI、较低的 GNRI 和较高的 CONUT 评分分别与 COPD 风险的增加呈正相关(OR:1.77,95% CI:1.10-2.84)(OR:8.66,95% CI:2.95-25.5)和(OR:5.11,95% CI:1.72-15.2)。研究发现,ALI 和 GNRI 与慢性阻塞性肺病的发病风险呈非线性关系。经过倾向得分匹配(PSM)后,ALI、GNRI、CONUT 评分与慢性阻塞性肺病之间的关系保持一致。较低的 ALI、PNI 和 GNRI 分数分别与 COPD 患者的全因死亡率呈正相关(HR:2.41,95% CI:1.10-5.27)、(HR:3.76,95% CI:1.89-7.48)和(HR:4.55,95% CI:1.30-15.9),其中 GNRI 与全因死亡率呈非线性关系。ROC曲线和C指数分析表明,ALI对慢性阻塞性肺病风险和全因死亡率的预测能力最强。ALI、GNRI和CONUT评分与慢性阻塞性肺病风险相关,而ALI、PNI和GNRI评分与慢性阻塞性肺病患者的全因死亡率相关。与其他营养评分相比,ALI 可能对风险和全因死亡率具有更有效的预测价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association between nutrition-related indicators with the risk of chronic obstructive pulmonary disease and all-cause mortality in the elderly population: evidence from NHANES
This study aims to use six nutrition-related indicators to assess the relationship between nutritional status and the risk of COPD as well as the all-cause mortality rate, and to determine the most reliable predictive indicators.Data from the National Health and Nutrition Examination Survey (NHANES) spanning the years 2013 to 2018 were extracted. Nutritional status was evaluated using Controlling nutritional status (CONUT) score, Geriatric Nutritional Risk Index (GNRI), Advanced Lung Cancer Inflammation Index (ALI), Prognostic Nutritional Index (PNI), Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI), and Albumin-to-Globulin Ratio (AGR) nutritional-related indicators. Multivariate weighted logistic and Cox regression models were employed to assess the correlation between the six nutritional-related indicators and the risk of COPD and as all-cause mortality. The restricted cubic spline tests were applied to explore potential nonlinear relationships, and ROC curves and C-index analyses were conducted to compare the predictive capabilities of different indicators. Stratified analysis and propensity score matching (PSM) to assess the robustness of the results.In this study, Lower ALI, lower GNRI, and higher CONUT scores were positively correlated with an increased risk of COPD (OR: 1.77, 95% CI: 1.10–2.84) (OR: 8.66, 95% CI: 2.95–25.5), and (OR: 5.11, 95% CI: 1.72–15.2), respectively. It was found that ALI and GNRI had a non-linear relationship with the risk of COPD. After propensity score matching (PSM), the associations between ALI, GNRI, CONUT scores, and COPD remained consistent. Lower ALI, PNI, and GNRI scores were positively associated with all-cause mortality in COPD patients (HR: 2.41, 95% CI: 1.10–5.27), (HR: 3.76, 95% CI: 1.89–7.48), and (HR: 4.55, 95% CI: 1.30–15.9), respectively, with GNRI displaying a non-linear relationship with all-cause mortality. ROC curve and C-index analyses indicated that ALI had the best predictive ability for both COPD risk and all-cause mortality.ALI, GNRI, and CONUT scores are correlated with the risk of COPD, while ALI, PNI, and GNRI scores are associated with all-cause mortality in COPD patients. Compared to other nutritional scores, ALI may provide more effective predictive value for both risk and all-cause mortality.
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