Abstract：
BACKGROUND: Previous studies with several limitations have comparatively analyzed the relationship between ambulatory blood pressure (BP) and self-measured BP and biomarkers of organ damage. This study extends this line of research by examining the relationship between ambulatory and self-measured BP and cardiac, renal, and atherosclerotic biomarkers in outpatients at cardiovascular risk.
METHODS: In 1,440 practice outpatients who underwent office, ambulatory, and self-measured BP monitoring, we assessed the relationships of each BP with organ damage biomarkers including b-type natriuretic peptide (BNP), echocardiographic left ventricular mass index (LVMI), urine-albumin-creatinine ratio (UACR), and brachial-ankle pulse wave velocity (baPWV).
RESULTS: In the comparison of correlation, self-measured systolic BP (SBP) was more strongly correlated to log-transformed (Ln) BNP (n=1,435; r=0.123 vs. r = -0.093, P<0.001), LVMI (n=1,278; r=0.223 vs. r=0.094, P<0.001), Ln-UACR (n=1,435; r=0.244 vs. r=0.154, P=0.010), and baPWV (n=1,360; r=0.327 vs. r=0.115, P<0.001) than daytime ambulatory SBP. In the linear regression models including office, ambulatory, and self-measured SBP, only self-measured SBP was significantly related to Ln-BNP (P=0.016) and LVMI (P<0.001). In the logistic regression models for the top quartile of LVMI, adding self-measured SBP improved the model predictability (P=0.027), but adding daytime ambulatory SBP did not. However, adding daytime ambulatory SBP improved the model predictability in the logistic model including office and self-measured SBP.
CONCLUSIONS: Our study findings suggested that self-measured BP was associated with cardiac biomarkers independent of ambulatory BP.
METHODS: In 1,440 practice outpatients who underwent office, ambulatory, and self-measured BP monitoring, we assessed the relationships of each BP with organ damage biomarkers including b-type natriuretic peptide (BNP), echocardiographic left ventricular mass index (LVMI), urine-albumin-creatinine ratio (UACR), and brachial-ankle pulse wave velocity (baPWV).
RESULTS: In the comparison of correlation, self-measured systolic BP (SBP) was more strongly correlated to log-transformed (Ln) BNP (n=1,435; r=0.123 vs. r = -0.093, P<0.001), LVMI (n=1,278; r=0.223 vs. r=0.094, P<0.001), Ln-UACR (n=1,435; r=0.244 vs. r=0.154, P=0.010), and baPWV (n=1,360; r=0.327 vs. r=0.115, P<0.001) than daytime ambulatory SBP. In the linear regression models including office, ambulatory, and self-measured SBP, only self-measured SBP was significantly related to Ln-BNP (P=0.016) and LVMI (P<0.001). In the logistic regression models for the top quartile of LVMI, adding self-measured SBP improved the model predictability (P=0.027), but adding daytime ambulatory SBP did not. However, adding daytime ambulatory SBP improved the model predictability in the logistic model including office and self-measured SBP.
CONCLUSIONS: Our study findings suggested that self-measured BP was associated with cardiac biomarkers independent of ambulatory BP.
摘要：
背景：先前的一些局限性研究比较了动态血压（BP）与自我测量的BP和器官损伤的生物标志物之间的关系。本研究通过检查动态和自我测量的BP与心脏之间的关系来扩展这一研究路线，肾,和有心血管风险的门诊患者的动脉粥样硬化生物标志物。
方法：在1,440名诊所门诊患者中，走动,和自测BP监测，我们评估了每种BP与器官损伤生物标志物（包括B型利钠肽（BNP））的关系，超声心动图左心室质量指数(LVMI),尿-白蛋白-肌酐比值（UACR），臂踝脉搏波传导速度(baPWV)。
结果：在相关性比较中，自我测量的收缩压血压（SBP）与对数转换（Ln）BNP（n=1,435；r=0.123vs.r=-0.093,P<0.001),LVMI（n=1,278；r=0.223vs.r=0.094,P<0.001),Ln-UACR（n=1,435；r=0.244vs.r=0.154,P=0.010),和baPWV(n=1,360；r=0.327vs.r=0.115，P<0.001）比白天动态SBP。在包括办公室在内的线性回归模型中，走动,和自测SBP，仅自测SBP与Ln-BNP(P=0.016)和LVMI(P<0.001)显著相关。在LVMI前四分位数的逻辑回归模型中，加入自测SBP提高了模型的可预测性(P=0.027)，但增加日间动态SBP没有。然而,在包括办公室和自测SBP在内的逻辑模型中,增加日间动态SBP改善了模型的可预测性.
结论：我们的研究结果表明，自测血压与独立于动态血压的心脏生物标志物相关。
方法：在1,440名诊所门诊患者中，走动,和自测BP监测，我们评估了每种BP与器官损伤生物标志物（包括B型利钠肽（BNP））的关系，超声心动图左心室质量指数(LVMI),尿-白蛋白-肌酐比值（UACR），臂踝脉搏波传导速度(baPWV)。
结果：在相关性比较中，自我测量的收缩压血压（SBP）与对数转换（Ln）BNP（n=1,435；r=0.123vs.r=-0.093,P<0.001),LVMI（n=1,278；r=0.223vs.r=0.094,P<0.001),Ln-UACR（n=1,435；r=0.244vs.r=0.154,P=0.010),和baPWV(n=1,360；r=0.327vs.r=0.115，P<0.001）比白天动态SBP。在包括办公室在内的线性回归模型中，走动,和自测SBP，仅自测SBP与Ln-BNP(P=0.016)和LVMI(P<0.001)显著相关。在LVMI前四分位数的逻辑回归模型中，加入自测SBP提高了模型的可预测性(P=0.027)，但增加日间动态SBP没有。然而,在包括办公室和自测SBP在内的逻辑模型中,增加日间动态SBP改善了模型的可预测性.
结论：我们的研究结果表明，自测血压与独立于动态血压的心脏生物标志物相关。
