炎症在糖尿病和癌症之间的相互联系中起着至关重要的作用。我们的研究旨在调查炎症指标对糖尿病癌症患者总生存 (OS) 的预测价值。我们分析了 1999 年至 2020 年间国家健康和营养检查调查的数据。使用四种免疫相关标记物，我们采用了对数排序方法、多变量 Cox 回归和亚组分析，探讨这些标记物对患有糖尿病和癌症的成年个体中 OS 的预测能力。我们的研究确定了四种全身免疫炎症指数，它们显示出对糖尿病癌症患者中 OS 的显着预测潜力，即全身免疫炎症指数、中性粒细胞与淋巴细胞比率、血小板与淋巴细胞比率以及淋巴细胞与单核细胞比率（所有 p 值 < 0.05）。值得注意的是，这些炎症生物标志物在调整潜在的混杂因素后仍然保持其预测价值。使用限制性三次样条进行的分析揭示了炎症生物标志物与 OS 之间的显着非线性关系。本研究中提出的结果强调了炎症标志物作为预后指标的潜力及其在增强糖尿病癌症患者风险评估方面的关键作用。© 2024。 Springer-Verlag Italia S.r.l.，施普林格自然的一部分。

Inflammation plays a crucial role in the interconnection between diabetes and cancer. Our study seeks to investigate the predictive value of inflammatory indices concerning overall survival (OS) among diabetic cancer patients.We analyzed data from the National Health and Nutrition Examination Survey between 1999 and 2020. Using four immune-related markers, we employed the log-rank method, multivariate Cox regression, and subgroup analysis to explore the predictive capacity of these markers for OS among adult individuals with diabetes and cancer.Our study identified four systemic immune-inflammatory indices that demonstrated significant predictive potential for OS among diabetic cancer patients, namely systemic immune-inflammation index, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio (all p values < 0.05). Notably, these inflammatory biomarkers still maintain their predictive value after adjusting potential confounding factors. The analysis using restrictive cubic splines revealed significant non-linear relationships between inflammatory biomarkers and OS.The findings presented in this study underscore the potential of inflammatory markers as prognostic indicators and their crucial role in enhancing risk assessment for diabetic patients with cancer.© 2024. Springer-Verlag Italia S.r.l., part of Springer Nature.