Geriatric Research, Education, and Clinical Center (GRECC), Ann Arbor Veterans Administration Hospital, Ann Arbor, MI, USA.
Nephrol Dial Transplant. 2010 Mar;25(3):853-61. doi: 10.1093/ndt/gfp559. Epub 2009 Oct 23.
The predictors of arterial stiffness across the spectrum of renal function are unclear. These predictors were investigated across a wide range of estimated glomerular filtration rates (eGFR).
Carotid-femoral pulse wave velocity (PWV; an index of arterial stiffness) was measured in 264 subjects with chronic kidney disease (CKD) stages 3-5 from three nephrology clinics ('lower GFR group'). PWV was also measured in 149 subjects without previously recognized CKD ('higher GFR group') including n = 26 with eGFR between 30 and 60 ml/min/1.73 m(2) and n = 123 with eGFR between 60 and 100 ml/min/1.73 m(2). The association between PWV and eGFR was investigated using linear regression.
The 413 subjects had a mean age of 61.9 years, were 51% male, 28% diabetic and 79% hypertensive. In age-adjusted analyses within the 'lower GFR group', 'higher GFR group' and combined group, PWV correlated with higher systolic blood pressure (SBP), pulse pressure (PP), diabetes mellitus, body mass index (BMI) and resting heart rate (all P < 0.0008). In addition, PWV correlated inversely with eGFR in the 'higher GFR group' (P = 0.03) and combined group (P < 0.0001). In multivariable regression analyses of the combined group (n = 413), PWV was independently predicted by eGFR (P < 0.05). However, eGFR explained at most 4% of the variability in PWV in age-adjusted analyses (compared with 13-15% explained by SBP, PP or diabetes) and <1% of PWV variability in models adjusting for age, SBP, diabetes, heart rate and BMI (P < 0.0001).
Although eGFR may independently predict PWV, the contribution of GFR per se does not appear to be clinically meaningful when compared with traditional cardiovascular risk factors.
肾功能谱中动脉僵硬的预测因素尚不清楚。本研究在广泛的估计肾小球滤过率(eGFR)范围内探讨了这些预测因素。
在来自三个肾病诊所的 264 例慢性肾脏病(CKD)3-5 期患者(“低 GFR 组”)中测量了颈股脉搏波速度(PWV;动脉僵硬的指标)。在无先前已知 CKD 的 149 例患者(“高 GFR 组”)中也测量了 PWV,包括 eGFR 在 30 至 60ml/min/1.73m²之间的 n = 26 例和 eGFR 在 60 至 100ml/min/1.73m²之间的 n = 123 例。使用线性回归分析 PWV 与 eGFR 之间的关系。
413 例患者的平均年龄为 61.9 岁,51%为男性,28%为糖尿病患者,79%为高血压患者。在“低 GFR 组”、“高 GFR 组”和联合组的年龄调整分析中,PWV 与较高的收缩压(SBP)、脉压(PP)、糖尿病、体重指数(BMI)和静息心率相关(均 P < 0.0008)。此外,在“高 GFR 组”(P = 0.03)和联合组(P < 0.0001)中,PWV 与 eGFR 呈负相关。在联合组(n = 413)的多变量回归分析中,PWV 可独立由 eGFR 预测(P < 0.05)。然而,在年龄调整分析中,eGFR 最多仅能解释 PWV 变异的 4%(与 SBP、PP 或糖尿病解释的 13-15%相比),在调整年龄、SBP、糖尿病、心率和 BMI 的模型中,eGFR 仅能解释 PWV 变异的<1%(P < 0.0001)。
尽管 eGFR 可能独立预测 PWV,但与传统心血管危险因素相比,GFR 本身的贡献似乎没有临床意义。