Department of Surgery, George Washington University, Washington, DC.
Renal Electrolyte and Hypertension Division, University of Pennsylvania, PA; Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, PA.
Am J Kidney Dis. 2019 Mar;73(3):344-353. doi: 10.1053/j.ajkd.2018.09.012. Epub 2018 Dec 10.
RATIONALE & OBJECTIVE: Traditional risk estimates for atherosclerotic vascular disease (ASVD) and death may not perform optimally in the setting of chronic kidney disease (CKD). We sought to determine whether the addition of measures of inflammation and kidney function to traditional estimation tools improves prediction of these events in a diverse cohort of patients with CKD.
Observational cohort study.
SETTING & PARTICIPANTS: 2,399 Chronic Renal Insufficiency Cohort (CRIC) Study participants without a history of cardiovascular disease at study entry.
Baseline plasma levels of biomarkers of inflammation (interleukin 1β [IL-1β], IL-1 receptor antagonist, IL-6, tumor necrosis factor α [TNF-α], transforming growth factor β, high-sensitivity C-reactive protein, fibrinogen, and serum albumin), measures of kidney function (estimated glomerular filtration rate [eGFR] and albuminuria), and the Pooled Cohort Equation probability (PCEP) estimate.
Composite of ASVD events (incident myocardial infarction, peripheral arterial disease, and stroke) and death.
Cox proportional hazard models adjusted for PCEP estimates, albuminuria, and eGFR.
During a median follow-up of 7.3 years, 86, 61, 48, and 323 participants experienced myocardial infarction, peripheral arterial disease, stroke, or death, respectively. The 1-decile greater levels of IL-6 (adjusted HR [aHR], 1.12; 95% CI, 1.08-1.16; P<0.001), TNF-α (aHR, 1.09; 95% CI, 1.05-1.13; P<0.001), fibrinogen (aHR, 1.07; 95% CI, 1.03-1.11; P<0.001), and serum albumin (aHR, 0.96; 95% CI, 0.93-0.99; P<0.002) were independently associated with the composite ASVD-death outcome. A composite inflammation score (CIS) incorporating these 4 biomarkers was associated with a graded increase in risk for the composite outcome. The incidence of ASVD-death increased across the quintiles of risk derived from PCEP, kidney function, and CIS. The addition of eGFR, albuminuria, and CIS to PCEP improved (P=0.003) the area under the receiver operating characteristic curve for the composite outcome from 0.68 (95% CI, 0.66-0.71) to 0.73 (95% CI, 0.71-0.76).
Data for cardiovascular death were not available.
Biomarkers of inflammation and measures of kidney function are independently associated with incident ASVD events and death in patients with CKD. Traditional cardiovascular risk estimates could be improved by adding markers of inflammation and measures of kidney function.
传统的动脉粥样硬化性血管疾病(ASVD)和死亡风险评估在慢性肾脏病(CKD)患者中可能表现不佳。我们旨在确定在患有 CKD 的不同患者群体中,炎症和肾功能指标的加入是否可以改善对这些事件的预测。
观察性队列研究。
2399 名慢性肾功能不全队列(CRIC)研究参与者,在研究开始时无心血管疾病病史。
基线时炎症生物标志物(白细胞介素 1β [IL-1β]、IL-1 受体拮抗剂、IL-6、肿瘤坏死因子 α [TNF-α]、转化生长因子 β、高敏 C 反应蛋白、纤维蛋白原和血清白蛋白)、肾功能指标(估计肾小球滤过率 [eGFR] 和白蛋白尿)以及 Pooled Cohort Equation 概率(PCEP)估计值。
ASVD 事件(心肌梗死、外周动脉疾病和中风)和死亡的复合结局。
采用 Cox 比例风险模型进行调整,包括 PCEP 估计值、白蛋白尿和 eGFR。
中位随访 7.3 年后,分别有 86、61、48 和 323 名参与者经历了心肌梗死、外周动脉疾病、中风或死亡。IL-6(调整后 HR [aHR],1.12;95%CI,1.08-1.16;P<0.001)、TNF-α(aHR,1.09;95%CI,1.05-1.13;P<0.001)、纤维蛋白原(aHR,1.07;95%CI,1.03-1.11;P<0.001)和血清白蛋白(aHR,0.96;95%CI,0.93-0.99;P<0.002)的 10 分位数水平升高与复合 ASVD-死亡结局独立相关。纳入这 4 种生物标志物的炎症综合评分(CIS)与风险的分级增加相关。PCEP、肾功能和 CIS 得出的风险五分位数与 ASVD-死亡复合结局的发生率呈正相关。将 eGFR、白蛋白尿和 CIS 添加到 PCEP 中可提高(P=0.003)复合结局的受试者工作特征曲线下面积,从 0.68(95%CI,0.66-0.71)增加到 0.73(95%CI,0.71-0.76)。
心血管死亡的数据不可用。
炎症生物标志物和肾功能指标与 CKD 患者的 ASVD 事件和死亡发生独立相关。通过添加炎症标志物和肾功能指标,传统的心血管风险评估可以得到改善。