Department of Rheumatic Disease, Kailuan General Hospital, Tangshan, Hebei, China.
Graduate School, North China University of Science and Technology, Tangshan, Hebei, China.
J Epidemiol Community Health. 2023 Nov;77(11):721-727. doi: 10.1136/jech-2023-220760. Epub 2023 Aug 10.
The high levels of C reactive protein (CRP) to albumin ratio (CAR) is thought to increase the risk of poor outcomes for cancer and cardiovascular disease (CVD). However, the association between CAR and CVD in the Chinese community population has not been investigated.
The aim of this study was to investigate the association between CAR and CVD in the Chinese community population.
A total of 62 067 participants without a history of CVD or cancer were included in this study. Kaplan-Meier survival curves were used to calculate the cumulative incidence of endpoint events in CAR quartile groups, and the results were tested by log-rank test. Fine-Gray model was used to analyse the competing risk of death. C-index, Net Reclassification Index (NRI) and Integrated Discrimination Improvement Index (IDI) of different indicators were calculated to distinguish the predictive performance of different indicators.
During an average follow-up period of 10.3±2.1 years, 4025 participants developed CVD. In multivariable Cox regression analysis, compared with Q1 group, model 3 showed that the hazard ratio (HR) (95% confidence interval (95%CI)) of CVD in Q4 group was 1.26 (1.15 to 1.38) (p<0.01), and the HR (95% CI) per 1 SD increase was 1.06 (1.03 to 1.08) (p<0.01). The C-index, continuous NRI and IDI for predicting 10-year CVD were 73.48%, 0.1366 (0.1049 to 0.1684) (p<0.01) and 0.0002 (0.0001 to 0.0004) (p<0.01), respectively, which were higher than those of hs-CRP (C-index:0.7344, NRI:0.0711, IDI: 0.0001) and albumin (C-index:0.7339, NRI: -0.0090, IDI: 0.0000).
High levels of CAR can increase the risk of CVD and the predictive performance of CAR for CVD is better than that of hs-CRP or albumin alone.
高 C 反应蛋白(CRP)与白蛋白比值(CAR)被认为会增加癌症和心血管疾病(CVD)不良结局的风险。然而,在中国人群中,CAR 与 CVD 的相关性尚未得到研究。
本研究旨在探讨中国人群中 CAR 与 CVD 的相关性。
共纳入 62067 名无 CVD 或癌症病史的参与者。使用 Kaplan-Meier 生存曲线计算 CAR 四分位组终点事件的累积发生率,并通过对数秩检验进行检验。Fine-Gray 模型用于分析死亡的竞争风险。计算不同指标的 C 指数、净重新分类指数(NRI)和综合判别改善指数(IDI),以区分不同指标的预测性能。
在平均 10.3±2.1 年的随访期间,有 4025 名参与者发生 CVD。在多变量 Cox 回归分析中,与 Q1 组相比,模型 3 显示 Q4 组 CVD 的风险比(HR)(95%置信区间(95%CI))为 1.26(1.15 至 1.38)(p<0.01),每增加 1 SD 的 HR(95%CI)为 1.06(1.03 至 1.08)(p<0.01)。预测 10 年 CVD 的 C 指数、连续 NRI 和 IDI 分别为 73.48%、0.1366(0.1049 至 0.1684)(p<0.01)和 0.0002(0.0001 至 0.0004)(p<0.01),均高于 hs-CRP(C 指数:0.7344、NRI:0.0711、IDI:0.0001)和白蛋白(C 指数:0.7339、NRI:-0.0090、IDI:0.0000)。
高水平的 CAR 可增加 CVD 的风险,且 CAR 对 CVD 的预测性能优于单独的 hs-CRP 或白蛋白。