Banerjee Debasish, Collins Allan J, Herzog Charles A
Renal and Transplantation Unit, St. George's Hospital NHS Trust, London, UK.
Nephron Extra. 2011 Jan;1(1):292-9. doi: 10.1159/000335691. Epub 2012 Jan 18.
BACKGROUND/AIM: The effect of hypertension on mortality in haemodialysis patients is controversial and can be confounded by non-traditional risk factors like systemic inflammation. This study examined the effect of systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP) on mortality in haemodialysis patients, separately with and without markers of systemic inflammation.
Data from the United States Renal Data System were analysed for 9,862 patients receiving haemodialysis on December 31, 1993, followed through May 2005.
In Cox regression analysis, increased age, diabetes, low albumin, high white blood count, low cholesterol, low haemoglobin, high phosphate, low DBP, and cardiovascular comorbidity were associated with high mortality, but SBP was not. Elevated PP adjusted for SBP, age, diabetes, haemoglobin, albumin, cholesterol, calcium, phosphate, parathyroid hormone, and white blood count was associated with higher mortality [adjusted hazard ratio, PP 1.006 (95% confidence interval, CI, 1.002-1.010); SBP 0.993 (95% CI 0.990-0.996)]. In dual models, PP adjusted for SBP then DBP was associated with higher mortality [PP 1.029 (95% CI 1.027-1.032); SBP 0.981 (95% CI 0.979-0.983); PP 1.010 (95% CI 1.008-1.011); DBP 0.981 (95% CI 0.979-0.983)]. Increasing PP deciles >70 mm Hg were associated with increasing mortality in the absence of markers of systemic inflammation (white blood count >10 × 10(9)/l, albumin <3.5 g/dl, diabetes), but not in their presence.
PP was a better indicator of adverse outcome than DBP or SBP. Inflammation-associated injury may mask the effect of PP on mortality in haemodialysis patients.
背景/目的:高血压对血液透析患者死亡率的影响存在争议,且可能被诸如全身炎症等非传统风险因素所混淆。本研究分别考察了收缩压(SBP)、舒张压(DBP)和脉压(PP)对有或无全身炎症标志物的血液透析患者死亡率的影响。
对来自美国肾脏数据系统的数据进行分析,这些数据来自于1993年12月31日接受血液透析的9862名患者,随访至2005年5月。
在Cox回归分析中,年龄增加、糖尿病、低白蛋白、高白细胞计数、低胆固醇、低血红蛋白、高磷酸盐、低DBP以及心血管合并症与高死亡率相关,但SBP并非如此。在校正了SBP、年龄、糖尿病、血红蛋白、白蛋白、胆固醇、钙、磷酸盐、甲状旁腺激素和白细胞计数后升高的PP与较高死亡率相关[校正风险比,PP为1.006(95%置信区间,CI,1.002 - 1.010);SBP为0.993(95%CI 0.990 - 0.996)]。在双变量模型中,先校正SBP然后校正DBP后的PP与较高死亡率相关[PP为1.029(95%CI 1.027 - 1.032);SBP为0.981(95%CI 0.9