Ao Ting, Huang Yingxiu, Zhen Peng, Hu Ming
Department of Infectious Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, People's Republic of China.
Int J Chron Obstruct Pulmon Dis. 2025 Jun 12;20:1915-1925. doi: 10.2147/COPD.S510755. eCollection 2025.
The inflammatory response plays a critical role in the progression and prognosis of Chronic Obstructive Pulmonary Disease (COPD). The C-reactive protein to lymphocyte ratio (CLR) has emerged as a potential novel biomarker of systemic inflammation. Nevertheless, the association between CLR and COPD remains unclear. The objective of this study was to explore the possible connection between CLR and COPD.
We conducted a retrospective study on 22,581 participants from the NHANES dataset (1999-2010). To evaluate the relationship between CLR and COPD, logistic regression analysis, restricted cubic spline analysis, and threshold effect analysis were utilized. Furthermore, subgroup and sensitivity analyses were conducted to assess the robustness of the identified association.
Multivariate logistic regression models indicated that the ln-transformed CLR was significantly associated with an increased risk of COPD (OR: 1.14, 95% CI: 1.04-1.25; P = 0.005). Compared to participants classified with the first tertile of ln-transformed CLR (T1), the risks of COPD for those in T2 and T3 were 1.03 and 1.33 times higher, respectively. An evident upward trend was noted with an increase in the ln-transformed CLR (P for trend =0.032). Furthermore, an inverse L-shaped association was identified between the ln-transformed CLR and the risk of COPD. The robustness and consistency of these findings were further confirmed by subgroup and sensitivity analyses.
Increased CLR correlated with a heightened risk of developing COPD, exhibiting nonlinear patterns and threshold effects.
炎症反应在慢性阻塞性肺疾病（COPD）的进展和预后中起着关键作用。C反应蛋白与淋巴细胞比值（CLR）已成为全身炎症的一种潜在新型生物标志物。然而，CLR与COPD之间的关联仍不明确。本研究的目的是探讨CLR与COPD之间可能的联系。
我们对来自美国国家健康与营养检查调查（NHANES）数据集（1999 - 2010年）的22581名参与者进行了一项回顾性研究。为评估CLR与COPD之间的关系，采用了逻辑回归分析、受限立方样条分析和阈值效应分析。此外，进行了亚组分析和敏感性分析以评估所确定关联的稳健性。
多变量逻辑回归模型表明，经自然对数转换的CLR与COPD风险增加显著相关（比值比：1.14，95%置信区间：1.04 - 1.25；P = 0.005）。与经自然对数转换的CLR处于第一个三分位数（T1）的参与者相比，T2和T3参与者患COPD的风险分别高1.03倍和1.33倍。随着经自然对数转换的CLR升高，观察到明显的上升趋势（趋势P值 = 0.032）。此外，经自然对数转换的CLR与COPD风险之间存在倒L形关联。亚组分析和敏感性分析进一步证实了这些发现的稳健性和一致性。
CLR升高与患COPD的风险增加相关，呈现非线性模式和阈值效应。
