Shen Yueping, Zhang Yuxia, Xiong Suting, Zhu Xiaohong, Ke Chaofu
Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou 215123, PR China.
Suzhou Industrial Park Centers for Disease Control and Prevention (Institute of Health Inspection and Supervision), Suzhou 215021, Jiangsu, PR China.
Clin Biochem. 2019 Mar;65:7-14. doi: 10.1016/j.clinbiochem.2018.12.012. Epub 2018 Dec 25.
Studies investigating the relationship between high-sensitivity C-reactive protein (hs-CRP), cystatin C, and all-cause mortality yielded inconsistent results. Moreover, the joint effect of hs-CRP and cystatin C on mortality risk is largely unknown for the general population. In this study, we examined the associations between hs-CRP, cystatin C, and all-cause mortality using data from the China Health and Retirement Longitudinal Study (CHARLS). Middle-aged and elderly participants with complete data were enrolled for a 4-year follow-up of total mortality and plasma levels of hs-CRP (n = 11,409) and cystatin C (n = 8680). In study population, the highest quartiles of hs-CRP and cystatin C were significantly associated with increased total mortality risk compared with the lowest quartile, and adjusted hazard ratios (95% confidence intervals) were 2.08 (1.49-2.91) and 1.97 (1.33-2.94) for hs-CRP and cystatin C, respectively. Remarkably, the adjusted hazard ratio (95% confidence interval) of the co-occurrence of elevated hs-CRP and increased cystatin C was 4.17 (2.94-5.92), in contrast to each elevation alone: 1.89 (1.45-2.47) for hs-CRP and 2.08 (1.46-2.97) for cystatin C. Moreover, a subgroup analysis by gender yielded similar associations. Lastly, the addition of hs-CRP and cystatin C to conventional factors significantly improved risk prediction of total mortality (net reclassification index 0.3622, P < 0.0001; integrated discrimination improvement 0.0354, P < 0.0001). Taken together, findings suggest that plasma hs-CRP and cystatin C serve as independent predictors of all-cause mortality among the middle-aged and elderly Chinese population. Furthermore, the combination of hs-CRP and cystatin C could predict overall mortality better than each component individually.
关于高敏C反应蛋白(hs-CRP)、胱抑素C与全因死亡率之间关系的研究结果并不一致。此外,对于一般人群而言,hs-CRP和胱抑素C对死亡风险的联合作用在很大程度上尚不清楚。在本研究中,我们利用中国健康与养老追踪调查(CHARLS)的数据,研究了hs-CRP、胱抑素C与全因死亡率之间的关联。纳入了具有完整数据的中老年参与者,对其全因死亡率以及hs-CRP(n = 11409)和胱抑素C(n = 8680)的血浆水平进行了为期4年的随访。在研究人群中,与最低四分位数相比,hs-CRP和胱抑素C的最高四分位数与全因死亡风险增加显著相关,hs-CRP和胱抑素C的校正风险比(95%置信区间)分别为2.08(1.49 - 2.91)和1.97(1.33 - 2.94)。值得注意的是,hs-CRP升高和胱抑素C升高同时出现时的校正风险比(95%置信区间)为4.17(2.94 - 5.92),与单独每种升高情况形成对比:hs-CRP为1.89(1.45 - 2.47),胱抑素C为2.08(1.46 - 2.97)。此外,按性别进行的亚组分析得出了类似的关联。最后,将hs-CRP和胱抑素C添加到传统因素中显著改善了全因死亡率的风险预测(净重新分类指数0.3622,P < 0.0001;综合判别改善0.0354,P < 0.0001)。综上所述,研究结果表明,血浆hs-CRP和胱抑素C是中国中老年人群全因死亡率的独立预测指标。此外,hs-CRP和胱抑素C联合使用比单独使用每个指标能更好地预测总体死亡率。