Department of Cardiology, Second Hospital of Dalian Medical University, Dalian, China.
Department of Second Clinical College, China Medical University, Shenyang, China.
Front Immunol. 2024 Jul 1;15:1410871. doi: 10.3389/fimmu.2024.1410871. eCollection 2024.
Inflammatory scores are known to reflect the systemic inflammatory burden. Despite this, the association between the inflammatory score and the risk of all-cause and cardiovascular mortality in patients with metabolic syndrome (MetS) remains poorly understood. To address this gap in the literature, this study investigated this potential association between these two factors.
A total of 3401 patients with MetS from the National Health and Nutrition Examination Survey (1999-2010) were enrolled. Survival status and cause of death were obtained by linking data from the National Death Index (NDI). The inflammatory score was calculated based on the sum of the Z-scores for white blood cell (WBC) count and C-reactive protein (CRP) at baseline. The patients were divided into inflammatory score quartiles. Cox proportional hazards regression was used to determine the association between inflammatory score and mortality. Restricted cubic splines (RCS) were used to explore the dose-response relationship between inflammatory score and mortality. Stratified analyses and interaction tests were conducted according to sex, age, body mass index (BMI), alcohol consumption, smoking status, hypertension, diabetes, and stroke status.
After a mean follow-up of 145.9 months, 1039 all-cause deaths and 295 cardiovascular deaths were recorded. The results of multivariate Cox regression analysis showed that compared to the lowest quartile (Q1), patients in the highest quartile (Q4) had a 1.74-fold increased risk of all-cause mortality (Model 3: HR = 1.74, 95%CI 1.30-2.32, < 0.001) and a 1.87-fold increased risk of cardiovascular mortality (Model 3: HR = 1.87, 95%CI 1.12-3.13, = 0.020). There was a 'J'-shaped nonlinear relationship between the inflammatory score and all-cause mortality ( for nonlinearity = 0.001), and a marginally significant 'J'-shaped relationship with cardiovascular mortality ( for nonlinearity = 0.057). The threshold points of the inflammatory score for adverse outcomes were - 0.643 and - 0.621, respectively.
The inflammatory score is independently associated with increased all-cause and cardiovascular mortality in patients with MetS, and risk stratification of these patients using inflammatory scores may provide specific therapeutic strategies to improve their prognosis.
炎症评分被认为可以反映全身炎症负担。尽管如此,代谢综合征(MetS)患者的炎症评分与全因和心血管死亡率之间的关联仍知之甚少。为了解决文献中的这一空白,本研究探讨了这两个因素之间的潜在关联。
共纳入 3401 名来自全国健康和营养检查调查(1999-2010 年)的 MetS 患者。通过国家死亡指数(NDI)的数据链接获得生存状态和死因。炎症评分根据白细胞(WBC)计数和 C 反应蛋白(CRP)的 Z 分数之和计算。将患者分为炎症评分四分位组。Cox 比例风险回归用于确定炎症评分与死亡率之间的关联。受限立方样条(RCS)用于探索炎症评分与死亡率之间的剂量反应关系。根据性别、年龄、体重指数(BMI)、饮酒、吸烟状况、高血压、糖尿病和中风状况进行分层分析和交互检验。
平均随访 145.9 个月后,记录了 1039 例全因死亡和 295 例心血管死亡。多变量 Cox 回归分析结果显示,与最低四分位组(Q1)相比,最高四分位组(Q4)的全因死亡率增加了 1.74 倍(模型 3:HR=1.74,95%CI 1.30-2.32, < 0.001),心血管死亡率增加了 1.87 倍(模型 3:HR=1.87,95%CI 1.12-3.13,=0.020)。炎症评分与全因死亡率之间存在“J”形非线性关系( for nonlinearity=0.001),与心血管死亡率之间存在边缘显著的“J”形关系( for nonlinearity=0.057)。炎症评分对不良结局的阈值点分别为-0.643 和-0.621。
炎症评分与 MetS 患者的全因和心血管死亡率增加独立相关,使用炎症评分对这些患者进行风险分层可能为改善其预后提供特定的治疗策略。