Peng Jinxiang, Chen Zhuang, Wang Yanqiong, Wang Kui, Wu Feng, Xiang Jianjun
School of Chinese Medicine, Hubei University of Chinese Medicine, Wuhan, China.
Medical Department, Hubei Enshi College, Enshi, Hubei, China.
Front Nutr. 2025 Jun 30;12:1602361. doi: 10.3389/fnut.2025.1602361. eCollection 2025.
This study aimed to assess the association between the advanced lung cancer inflammation index (ALI) and the prevalence of diabetic retinopathy (DR) in a nationally representative sample of US adults with diabetes.
We used cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. ALI was calculated from the body mass index (BMI), albumin levels, and neutrophil-to-lymphocyte ratio (NLR), providing an integrative measure of inflammatory and nutritional metabolic status. A history of diabetes was obtained through self-report. Logistic regression models were used to investigate the relationship between ALI and DR prevalence, adjusting for multiple potential confounders. Additionally, restricted cubic spline (RCS) analyses were used to explore potential non-linear associations.
A total of 3,952 diabetic participants were included, of whom 813 had DR. Logistic regression analysis shows that higher ALI values are significantly correlated with a decrease in DR prevalence. Compared to the lowest ALI quartile, the highest quartile was associated with a 27% decrease in DR prevalence after full adjustment. Subgroup analyses showed that the relationship remained stable across most demographic and clinical strata, although racial differences were also observed. Furthermore, RCS analyses revealed an L-shaped relationship between ALI and DR prevalence.
In the US adult diabetic population, lower ALI levels were associated with greater DR prevalence, and this relationship displayed an L-shaped, non-linear pattern. These findings suggest that monitoring and managing ALI may be beneficial in reducing the risk of DR. Future longitudinal studies are needed to clarify the causality and evaluate the impact of ALI-targeted interventions in clinical practice.
本研究旨在评估在美国具有全国代表性的糖尿病成年样本中,晚期肺癌炎症指数(ALI)与糖尿病视网膜病变(DR)患病率之间的关联。
我们使用了1999年至2018年美国国家健康与营养检查调查(NHANES)的横断面数据。ALI由体重指数(BMI)、白蛋白水平和中性粒细胞与淋巴细胞比率(NLR)计算得出,提供了炎症和营养代谢状态的综合测量指标。通过自我报告获取糖尿病病史。使用逻辑回归模型研究ALI与DR患病率之间的关系,并对多个潜在混杂因素进行调整。此外,使用受限立方样条(RCS)分析来探索潜在的非线性关联。
总共纳入了3952名糖尿病参与者,其中813人患有DR。逻辑回归分析表明,较高的ALI值与DR患病率的降低显著相关。与最低的ALI四分位数相比,最高四分位数在完全调整后与DR患病率降低27%相关。亚组分析表明,尽管也观察到种族差异,但在大多数人口统计学和临床分层中,这种关系保持稳定。此外,RCS分析揭示了ALI与DR患病率之间呈L形关系。
在美国成年糖尿病患者中,较低的ALI水平与较高的DR患病率相关,且这种关系呈现出L形的非线性模式。这些发现表明,监测和管理ALI可能有助于降低DR风险。未来需要进行纵向研究以阐明因果关系,并评估针对ALI的干预措施在临床实践中的影响。