Xu Xiayan, Xie Yun, Gu Xia, Zhou Yang, Kang Yu, Liu Jin, Lai Wenguang, Lu Hongyu, Chen Shiqun, Xu Jun-Yan, Lin Feng, Liu Yong
School of Medicine, South China University of Technology, Guangzhou, 510006, People's Republic of China.
Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China.
J Inflamm Res. 2023 Sep 12;16:4031-4042. doi: 10.2147/JIR.S425189. eCollection 2023.
Blood glucose levels significantly affect the clinical prognosis of patients with coronary artery disease (CAD), and systemic immune inflammation is a common risk factor for both CAD and diabetes. However, the relationship between immune inflammation levels and poor prognosis in patients with CAD with different glucose metabolic statuses remains unclear.
Between January 2007 and December 2020, we recruited 84,645 patients with CAD. The systemic immune inflammation index (SII) was used to comprehensively reflect the immune and inflammatory levels of patients and was calculated using the following formula: neutrophils × platelets/lymphocytes. The patients were classified into nine groups according to their glucose metabolism status (diabetes mellitus [DM], pre-diabetes mellitus [pre-DM], and normal glucose regulation [NGR]). Cox regression models and competing risk Fine and Gray models were used to investigate the association between SII and clinical outcomes.
During the follow-up period, 12,578 patients died, including 5857 cardiovascular-related and 1251 cancer-related deaths. The risk of all-cause and cause-specific mortality increased with increasing SII tertiles in CAD patients with NGR, pre-DM, and DM. When considering glucose metabolism status, the multivariate cox regression revealed that CAD patients with DM and SII-H levels had the highest risk of all-cause mortality (1.69 [1.56-1.83]), cardiovascular mortality (2.29 [2.02-2.59]), and cancer mortality (1.29 [1.01-1.66]). Moreover, incorporating the SII into traditional risk factor models significantly improved the C-index for predicting all-cause and cardiovascular mortality.
Systemic immune inflammation levels on admission were correlated with a higher risk of all-cause and cause-specific mortality in patients with CAD, particularly in those with DM.
血糖水平显著影响冠状动脉疾病(CAD)患者的临床预后,全身免疫炎症是CAD和糖尿病的共同危险因素。然而,不同糖代谢状态的CAD患者免疫炎症水平与预后不良之间的关系仍不清楚。
在2007年1月至2020年12月期间,我们招募了84645例CAD患者。全身免疫炎症指数(SII)用于综合反映患者的免疫和炎症水平,计算公式如下:中性粒细胞×血小板/淋巴细胞。根据患者的糖代谢状态(糖尿病[DM]、糖尿病前期[pre-DM]和正常血糖调节[NGR])将其分为九组。采用Cox回归模型和竞争风险Fine和Gray模型研究SII与临床结局之间的关联。
在随访期间,12578例患者死亡,其中5857例与心血管相关,1251例与癌症相关。在NGR、pre-DM和DM的CAD患者中,全因和特定原因死亡率的风险随着SII三分位数的增加而增加。考虑糖代谢状态时,多变量Cox回归显示,DM和SII-H水平的CAD患者全因死亡率(1.69[1.56-1.83])、心血管死亡率(2.29[2.02-2.59])和癌症死亡率(1.29[1.01-1.66])风险最高。此外,将SII纳入传统危险因素模型可显著提高预测全因和心血管死亡率的C指数。
入院时的全身免疫炎症水平与CAD患者全因和特定原因死亡率的较高风险相关,尤其是DM患者。