Wen Jun, Wang Changfen, Zhuang Rongjuan, Guo Shuliang, Chi Jing
Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China.
Department of Cardiology, People's Hospital of Qianxinan Prefecture, Guizhou Province, China.
J Epidemiol Glob Health. 2025 Jun 2;15(1):80. doi: 10.1007/s44197-025-00425-7.
Presently, the associations between blood glucose management, systemic inflammation, and prognosis in the asthmatic population are still uncertain.
This investigation included 2719 people with asthma from the National Health and Nutrition Examination Survey (NHANES). The linear regression, Cox proportional hazards regression, the Shapley Additive Explanations (SHAP) model, restricted cubic spline (RCS), survival area plot, and survival quantile plot were used to comprehensively evaluate the associations between fasting plasma glucose (FPG), hemoglobin A1c (HbAlc), the systemic inflammation, and the mortality in populations with asthma.
The Cox regression model revealed a positive correlation between HbA1c (HR: 1.21, 95% CI: 1.04-1.42) and FPG (HR: 1.08, 95% CI: 1.02-1.15) and the risk of death in asthmatics, while diabetes (HR: 1.55, 95% CI: 1.07-2.23) also increased the death risk of asthma. The RCS, survival area plot, and survival quantile plot all corroborated the positive association between HbA1c, FPG, and the death risk in asthma patients. The SHAP model suggested that the top five key markers for predicting the mortality risk of asthmatic people were age, cardiovascular disease, cholesterol, systemic inflammatory index (SII), and FPG. This investigation also revealed a positive relationship between HbA1c and FPG as well as neutrophils, along with a positive association between FPG and the SII.
Higher blood glucose levels-reflected by both HbA1c and FPG-are independently associated with greater mortality risk in adults with asthma. And hyperglycemia is linked to systemic inflammation, optimizing blood glucose control may improve inflammatory status and long-term outcomes in this population.
目前,血糖管理、全身炎症与哮喘人群预后之间的关联仍不明确。
本研究纳入了来自美国国家健康与营养检查调查(NHANES)的2719例哮喘患者。采用线性回归、Cox比例风险回归、Shapley加性解释(SHAP)模型、限制性立方样条(RCS)、生存面积图和生存分位数图,综合评估空腹血糖(FPG)、糖化血红蛋白(HbAlc)、全身炎症与哮喘人群死亡率之间的关联。
Cox回归模型显示,HbA1c(HR:1.21,95%CI:1.04-1.42)和FPG(HR:1.08,95%CI:1.02-1.15)与哮喘患者的死亡风险呈正相关,而糖尿病(HR:1.55,95%CI:1.07-2.23)也增加了哮喘的死亡风险。RCS、生存面积图和生存分位数图均证实了HbA1c、FPG与哮喘患者死亡风险之间的正相关。SHAP模型表明,预测哮喘患者死亡风险的前五个关键指标是年龄、心血管疾病、胆固醇、全身炎症指数(SII)和FPG。本研究还发现HbA1c与FPG以及中性粒细胞之间呈正相关,FPG与SII之间呈正相关。
HbA1c和FPG所反映的较高血糖水平与成年哮喘患者更高的死亡风险独立相关。并且高血糖与全身炎症有关,优化血糖控制可能改善该人群的炎症状态和长期预后。