BHF Glasgow Cardiovascular Research Centre, University of Glasgow, United Kingdom.
Am Heart J. 2011 Oct;162(4):748-755.e3. doi: 10.1016/j.ahj.2011.07.016.
This study aims to examine predictors of cardiovascular mortality and morbidity in patients with chronic kidney disease (CKD). Individuals with the triad of diabetes, CKD, and anemia represent a significant proportion of patients with cardiovascular disease and are at particularly high risk for adverse outcomes.
Using Cox proportional hazards models, we identified independent predictors of the composite of cardiovascular death, myocardial infarction, stroke, hospitalization for myocardial ischemia, or heart failure (HF) in 3,847 patients in the TREAT, 961 (25%) of whom experienced this outcome. The predictors (ranked by χ(2) value) were prior HF (hazard ratio [HR] 1.74, 95% CI 1.51-2.01), age (HR 1.03, 95% CI 1.02-1.04 per year), log urine protein/creatinine ratio (HR 1.19, 95% CI 1.13-1.26 per log unit ), C-reactive protein ≥6.6 mg/L (HR 1.44, 95% CI 1.23-1.69, compared with C-reactive protein ≤3.0 mg/L), and abnormal electrocardiogram (HR 1.42, 95% CI 1.21-1.66 ), all P < .0001. Addition of cardiac-derived biomarkers (subset of first 1,000 patients enrolled) significantly enhanced risk estimation, with N-terminal pro B-type natriuretic peptide becoming the highest ranked predictor of outcome (HR 1.30, 95% CI 1.15-1.46 per log unit, P < .001) and troponin T providing additional predictive information. These biomarkers improved risk classification in 17.8% (9.4%-26.2%) of patients.
In patients with diabetes, CKD, and anemia, cardiovascular risk is most strongly predicted by age, history of HF, C-reactive protein, urinary protein/creatinine ratio, abnormal electrocardiogram, and 2 specific cardiac biomarkers, serum N-terminal pro B-type natriuretic peptide and troponin T, which are elevated in many. These findings suggest ways to improve cardiovascular risk stratification of patients with predialysis CKD, support the concept of cardiorenal syndrome, and may help target therapy.
本研究旨在探讨慢性肾脏病(CKD)患者心血管死亡和发病的预测因素。患有糖尿病、CKD 和贫血三联征的患者代表了心血管疾病患者的很大一部分,并且他们发生不良结局的风险特别高。
我们使用 Cox 比例风险模型,在 TREAT 研究的 3847 例患者中确定了心血管死亡、心肌梗死、卒中等复合终点(心力衰竭[HF]住院或心力衰竭)的独立预测因素,其中 961 例(25%)发生了该结局。预测因素(按χ(2)值排序)为既往 HF(危险比[HR] 1.74,95%置信区间[CI] 1.51-2.01)、年龄(HR 1.03,95%CI 每增加 1 岁为 1.02-1.04)、尿蛋白/肌酐比值的对数(HR 1.19,95%CI 1.13-1.26 每对数单位)、C 反应蛋白≥6.6mg/L(HR 1.44,95%CI 1.23-1.69,与 C 反应蛋白≤3.0mg/L 相比)和异常心电图(HR 1.42,95%CI 1.21-1.66),均 P<0.0001。添加心脏来源的生物标志物(前 1000 例患者的子集)可显著提高风险估计,其中 N 末端 B 型利钠肽原成为预测结局的最高指标(HR 1.30,95%CI 1.15-1.46 每对数单位,P<0.001),肌钙蛋白 T 提供了额外的预测信息。这些生物标志物使 17.8%(9.4%-26.2%)的患者风险分类得到改善。
在患有糖尿病、CKD 和贫血的患者中,年龄、HF 病史、C 反应蛋白、尿蛋白/肌酐比值、异常心电图和 2 种特定的心脏生物标志物(血清 N 末端 B 型利钠肽原和肌钙蛋白 T)可强烈预测心血管风险,这些标志物在许多患者中升高。这些发现提示了改善透析前 CKD 患者心血管风险分层的方法,支持了心肾综合征的概念,并可能有助于靶向治疗。