Qiu Xiuxiu, Zhang Yiyi, Zhu Yingjie, Yang Ming, Tao Li
Department of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Department of Intensive Care Unit, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Immun Inflamm Dis. 2024 Dec;12(12):e70067. doi: 10.1002/iid3.70067.
The systemic inflammatory response significantly influences the progression and prognosis of various cancers. The novel Inflammatory Burden Index (IBI) was recently introduced as a biomarker to gauge systemic inflammation and evaluate cancer patient prognosis. However, studies investigating the relationship between IBI and mortality rates in cancer patients remain limited.
This study analyzed data from 2748 cancer patients enrolled in the National Health and Nutrition Examination Surveys between 1999 and 2018. We used weighted Cox regression analysis and restricted cubic spline models to examine the relationship between the IBI and mortality due to all causes, cardiovascular disease (CVD), and cancer. Furthermore, we employed Kaplan-Meier survival curves, subgroup analyses, and receiver operating characteristic curves to elaborate on these associations.
Over a median follow-up period of 112 months, the cohort experienced 1067 deaths, including 320 from cancer, 239 attributable to heart disease, and 508 from various other causes. The Kaplan-Meier curve indicated that individuals in the higher quartiles of the IBI faced significantly increased mortality risks compared to those in lower quartiles. Analyses using weighted Cox proportional hazards models demonstrated that subjects in the top IBI quartile were at a substantially higher risk for all-cause mortality (Hazard Ratio [HR] 2.09, 95% Confidence Interval [CI] 1.67-2.62, p < 0.001), CVD mortality (HR = 1.95, 95% CI= 1.18-3.23, p = 0.010), and cancer mortality (HR = 2.06, 95% CI = 1.31-3.26, p = 0.002). Furthermore, stratification and interaction analyses affirmed the uniformity of these initial findings. The areas under the curve for the 3-, 5-, and 10-year survival predictions for all-cause mortality were 0.62, 0.62, and 0.67, respectively; for cardiovascular mortality, they were 0.64, 0.64, and 0.70; and for cancer mortality, they were 0.62, 0.77, and 0.70.
In cancer patients, higher IBI levels significantly correlate with increased mortality from all causes, CVD, and cancer-specific deaths. This index could possess considerable diagnostic and prognostic importance, possibly acting as a new biomarker for evaluating outcomes in cancer patients.
全身炎症反应显著影响各种癌症的进展和预后。新型炎症负担指数(IBI)最近被引入作为一种生物标志物,用于衡量全身炎症并评估癌症患者的预后。然而,关于IBI与癌症患者死亡率之间关系的研究仍然有限。
本研究分析了1999年至2018年期间参加国家健康与营养检查调查的2748名癌症患者的数据。我们使用加权Cox回归分析和受限立方样条模型来研究IBI与全因死亡率、心血管疾病(CVD)死亡率和癌症死亡率之间的关系。此外,我们采用Kaplan-Meier生存曲线、亚组分析和受试者工作特征曲线来详细阐述这些关联。
在中位随访期112个月内,该队列经历了1067例死亡,其中包括320例死于癌症,239例归因于心脏病,508例死于各种其他原因。Kaplan-Meier曲线表明,IBI较高四分位数的个体与较低四分位数的个体相比,面临的死亡风险显著增加。使用加权Cox比例风险模型的分析表明,IBI最高四分位数的受试者全因死亡率风险显著更高(风险比[HR]2.09,95%置信区间[CI]1.67-2.62,p<0.001),CVD死亡率(HR = 1.95,95%CI = 1.18-3.23,p = 0.010)和癌症死亡率(HR = 2.06,95%CI = 1.31-3.26,p = 0.002)。此外,分层和交互分析证实了这些初步发现的一致性。全因死亡率的3年、5年和10年生存预测的曲线下面积分别为0.62、0.62和0.67;心血管死亡率的曲线下面积分别为0.64、0.64和0.70;癌症死亡率的曲线下面积分别为0.62、0.77和0.70。
在癌症患者中,较高的IBI水平与全因死亡率、CVD死亡率和癌症特异性死亡的增加显著相关。该指数可能具有相当大的诊断和预后重要性,可能作为评估癌症患者预后的一种新的生物标志物。