医学
危险系数
内科学
比例危险模型
置信区间
恶病质
癌症
肿瘤科
生物标志物
体质指数
逻辑回归
生物化学
化学
作者
Hailun Xie,Guo‐Tian Ruan,Yi‐Zhong Ge,Qi Zhang,Heyang Zhang,Shiqi Lin,Mengmeng Song,Xi Zhang,Xiaoyue Liu,Xiangrui Li,Kangping Zhang,Ming Yang,Meng Tang,Chunhua Song,Hanping Shi
标识
DOI:10.1016/j.clnu.2022.04.019
摘要
Systemic inflammation is the most representative host-tumor interaction in cancer. This study aimed to develop a novel inflammatory burden index (IBI) to assess the inflammatory burden of different cancers and predict the prognosis of patients with cancer.A total of 6359 cancer patients admitted to multiple centers from 2012 through 2019 were included in this study. The IBI was formulated as C-reaction protein × neutrophil/lymphocyte. Survival differences between the groups were compared using the Kaplan-Meier method. Cox proportional hazard regression analysis was used to estimate the hazard ratio (HR) and 95% confidence interval (CI). Logistic regression analysis was used to assess the association between the inflammatory burden index and outcomes.Cancers assessed by the IBI could be classified as high, moderate, or low inflammatory burden and had different prognostic stratification effects (46.5% vs 61.0% vs 83.0%; P < .001). Compared with other systemic inflammation biomarkers, the IBI had the highest accuracy in predicting survival. Patients with a high IBI had significantly lower survival rates than those with a low IBI (45.7% vs 69.1%; P < .001). For every standard deviation increase in the IBI, the risk of poor prognosis for patients with cancer increased by 10.3% (HR, 1.103; 95% CI, 1.072-1.136; P < .001). The IBI could be used as a useful prognostic supplement in the pathological stage. A high IBI was an independent high-risk factor that affected patient's physical condition, malnutrition, cachexia, and short-term outcomes and an independent risk factor for patients with cancer in both validation cohorts a (hazard ratio, 1.114; 95% confidence interval, 1.072-1.157; P < .001) and b (hazard ratio, 1.125; 95% confidence interval, 1.060-1.193; P < .001).The IBI, as a novel indicator of systemic inflammation, is a feasible and promising predictive biomarker in patients with cancer and can be used to assess the inflammatory burden of different cancers.
科研通智能强力驱动
Strongly Powered by AbleSci AI