Palmas Walter, Pickering Thomas G, Teresi Jeanne, Schwartz Joseph E, Field Lesley, Weinstock Ruth S, Shea Steven
Department of Medicine, Columbia University, New York, NY, USA.
Hypertension. 2008 May;51(5):1282-8. doi: 10.1161/HYPERTENSIONAHA.107.108589. Epub 2008 Mar 31.
We assessed whether home blood pressure monitoring improved the prediction of progression of albuminuria when added to office measurements and compared it with ambulatory blood pressure monitoring in a multiethnic cohort of older people (n=392) with diabetes mellitus, without macroalbuminuria, participating in the telemedicine arm of the Informatics for Diabetes Education and Telemedicine Study. Albuminuria was assessed by measuring the spot urine albumin:creatinine ratio at baseline and annually for 3 years. The ambulatory sleep:wake systolic blood pressure ratio was categorized as dipping (ratio: < or =0.9), nondipping (ratio: >0.9 to 1.0), and nocturnal rise (ratio: >1.0). In a repeated-measures mixed linear model, after adjustment that included office pulse pressure, home pulse pressure was independently associated with a higher follow-up albumin:creatinine ratio (P=0.001). That association persisted (P=0.01) after adjusting for 24-hour pulse pressure and nocturnal rise, which were also independent predictors (P=0.02 and P=0.03, respectively). Cox proportional hazards models examined the progression of albuminuria (n=74) as defined by cutoff values used by clinicians. After the adjustment for office pulse pressure, the hazards ratio (95% CI) per 10-mm Hg increment of home pulse pressure was 1.34 (range: 1.1 to 1.7; P=0.01). Home pulse pressure was not an independent predictor in the model including ambulatory monitoring data; a nocturnal rise was the only independent predictor (P=0.035). Cox models built separately for home pulse pressure and ambulatory monitoring exhibited similar calibration and discrimination. In conclusion, nocturnal blood pressure elevation was the strongest predictor of worsening albuminuria. Home blood pressure measurements added to office measurements and may constitute an adequate substitute for ambulatory monitoring.
我们评估了在参与糖尿病教育与远程医疗信息学研究远程医疗组的一个多民族老年糖尿病患者队列(n = 392)中,家庭血压监测添加到诊室测量中是否能改善对蛋白尿进展的预测,并将其与动态血压监测进行比较。这些患者无大量蛋白尿。通过在基线时以及之后3年每年测量随机尿白蛋白:肌酐比值来评估蛋白尿。动态睡眠:清醒收缩压比值分为勺型(比值:≤0.9)、非勺型(比值:>0.9至1.0)和夜间升高型(比值:>1.0)。在重复测量混合线性模型中,在调整了诊室脉压后,家庭脉压与更高的随访白蛋白:肌酐比值独立相关(P = 0.001)。在调整了24小时脉压和夜间升高后,这种关联仍然存在(P = 0.01),而24小时脉压和夜间升高也是独立预测因素(分别为P = 0.02和P = 0.03)。Cox比例风险模型根据临床医生使用的临界值检查了蛋白尿(n = 74)的进展情况。在调整了诊室脉压后,家庭脉压每增加10 mmHg的风险比(95% CI)为1.34(范围:1.1至1.7;P = 0.01)。在包括动态监测数据的模型中,家庭脉压不是独立预测因素;夜间升高是唯一的独立预测因素(P = 0.035)。分别为家庭脉压和动态监测建立的Cox模型显示出相似的校准和区分能力。总之,夜间血压升高是蛋白尿恶化的最强预测因素。家庭血压测量添加到诊室测量中,可能足以替代动态监测。