Lei Yuqing, Tao Shaohong, Yang Yubo, Xie Fang, Xie Weining
Affiliated Guangdong Hospital of Integrated Traditional Chinese and Western Medicine of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, Foshan, Guangdong, China.
Nanhai Hospital of Traditional Chinese Medicine, Jinan University, Foshan, Guangdong, China.
Front Nutr. 2025 Feb 10;12:1526801. doi: 10.3389/fnut.2025.1526801. eCollection 2025.
The current research was to investigate the relationship between prognostic nutritional index (PNI) and mortality, with a focus on all-cause and cardiovascular disease (CVD) mortality, for those with non-alcoholic fatty liver disease (NAFLD).
Data from 20,142 patients who participated in the National Health and Nutrition Examination Survey (NHANES), which was carried out between 2005 and 2014, were included in this research. To examine the relationship between PNI and both all-cause and cardiovascular mortality, we employed weighted Cox regression models with multiple variables. Kaplan-Meier survival curves were utilized to visualize the survival distribution across different levels of PNI. The non-linear association between PNI and mortality was addressed through penalized spline smoothing. Subgroup analyses were conducted to examine the potential influence of relevant clinical variables on the relationship between PNI and mortality. The precision of PNI in forecasting the outcome of survival was assessed as well using time-dependent receiver operating characteristic curve (ROC) analysis.
Kaplan-Meier analysis linked higher PNI to significantly reduced all-cause and CVD mortality. Multivariable Cox models demonstrated that increasing PNI consistently lowered mortality risks. With a threshold value of 50.5, the link between PNI and mortality showed a non-linear pattern after adjusting for confounding factors. Subgroup analyses confirmed robust associations, particularly in race, education, BMI, and fibrosis. Time-dependent ROC analysis highlighted the strong predictive performance of PNI across various time points.
PNI played a significant role as an effective predictor of prognosis in individuals diagnosed with NAFLD.
本研究旨在探讨非酒精性脂肪性肝病(NAFLD)患者的预后营养指数(PNI)与死亡率之间的关系,重点关注全因死亡率和心血管疾病(CVD)死亡率。
本研究纳入了2005年至2014年间参加美国国家健康与营养检查调查(NHANES)的20142名患者的数据。为了研究PNI与全因死亡率和心血管死亡率之间的关系,我们采用了多变量加权Cox回归模型。利用Kaplan-Meier生存曲线直观展示不同PNI水平下的生存分布。通过惩罚样条平滑处理PNI与死亡率之间的非线性关联。进行亚组分析以检验相关临床变量对PNI与死亡率关系的潜在影响。还使用时间依赖性受试者工作特征曲线(ROC)分析评估PNI预测生存结局的准确性。
Kaplan-Meier分析表明,较高的PNI与全因死亡率和CVD死亡率显著降低相关。多变量Cox模型显示,PNI升高持续降低死亡风险。调整混杂因素后,PNI与死亡率之间的关联在阈值为50.5时呈现非线性模式。亚组分析证实了二者之间的强关联,尤其是在种族、教育程度、体重指数和纤维化方面。时间依赖性ROC分析突出了PNI在各个时间点的强大预测性能。
PNI作为诊断为NAFLD个体预后的有效预测指标发挥了重要作用。