Majahalme S, Turjanmaa V, Weder A B, Lu H, Tuomisto M T, Uusitalo A
Department of Medicine, Medical School, University of Tampere, Finland.
Hypertension. 1996 Nov;28(5):725-31. doi: 10.1161/01.hyp.28.5.725.
We compared mean intra-arterial ambulatory blood pressure (IAMB), blood pressure (BP) diurnal profiles are variability, and postural measurements with casual sphygmomanometric measurements for the prediction of future BP. We studied 97 healthy, ummedicated men classified as normotensive (NT, n = 34), borderline hypertensive (BHT, n = 29), or mildly hypertensive (HT, n = 34) by repeated casual measurements during the 2 months before IAMB. Five years later, we reassessed 79 subjects (81%) using casual BP measurements and noninvasive ambulatory 24-hour BP monitoring (NAMB). IAMB level generally correlated well with follow-up BP and slightly better with NAMB level than with casual measurements (24-hour IAMB versus follow-up NAMB systolic BP [SBP], r = .64, P < .001; versus diastolic' BP [DBP], r = .52, P < .001). NT and BHT subgroup correlations were of similar strength, but the relationship in the HT subgroup was not significant. Similarly, when we examined daytime and nighttime BP levels, nighttime BP correlated better with follow-up BP in NT and BHT but not in HT. The only measures that were significantly related to follow-up BP in HT were two BP variability measures, SD and the range of variability (RV80: 90th minus 10th percentile), (initial 24-hour IAMB SD and follow-up BP, r = .42 to r = .52, P < .05 to P < .01; RV80 versus follow-up BP, r = .43 to r = .52, P < .05 to P < .01). Correlations of follow-up BP with postural BP were generally weaker than with casual BP or IAMB level. Linear stepwise regressions for SBP and DBP separately (including all IAMB variables) demonstrated that the best single predictor for follow-up BP was 24-hour IAMB SBP level, which explained 41% of follow-up NAMB SBP level variance (F = 52.6, P < .001). However, in a second analysis including casual values, casual SBP alone explained 44% of follow-up NAMB SBP variance (F = 62.5, P < .001), whereas IAMB SBP added only 4% (F = 5.5, P < .05). Predictions of follow-up DBP were always poorer. After 5 years, 70% of NT and 86% of HT were still in their initial classification group, but 67% of BHT had become hypertensive. In these new HT (n = 16), initial IAMB level correlated most strongly with follow-up NAMB level (24-hour SBP, r = .70, P < .01; 24-hour DBP, r = .55, P < .05). The only other significant demographic variable predicting future BP was change in weight over 5 years, which added 10% to the explanation of future casual SBP variance (F = 12.5, P = .0007) and 15% to casual DBP variance (F = 18.0, P = .0001); for NAMB, the percentages were lower. In logistic regression, those NT and BHT who became hypertensive (n = 22) had a 75% probability of becoming hypertensive if they gained 11.7 kg or more during 5 years (X2 = 4.5, P = .03). To conclude, BP tended to increase in all groups, especially in BHT, during follow-up. Nominal differences were observed between casual measurements and BP level measures in the prediction of future BP, and their explanatory value for future BP was generally less than 50%. However, for BHT who became hypertensive, BP level and variability measurements somewhat improved the prediction of follow-up BP. Weight gain was an important additional predictor for future hypertension in both NT and BHT.
我们比较了动脉内动态血压(IAMB)平均值、血压(BP)昼夜节律变异性以及体位测量值与偶测血压测量值,以预测未来血压。在进行IAMB测量前的2个月内,我们通过多次偶测血压,对97名未服用药物的健康男性进行了研究,将他们分为血压正常(NT,n = 34)、临界高血压(BHT,n = 29)或轻度高血压(HT,n = 34)。5年后,我们使用偶测血压和无创动态24小时血压监测(NAMB)对79名受试者(81%)进行了重新评估。IAMB水平通常与随访血压相关性良好,与NAMB水平的相关性略优于偶测血压(24小时IAMB与随访NAMB收缩压[SBP],r = 0.64,P < 0.001;与舒张压[DBP],r = 0.52,P < 0.001)。NT和BHT亚组的相关性强度相似,但HT亚组的关系不显著。同样,当我们检查白天和夜间血压水平时,NT和BHT组中夜间血压与随访血压的相关性更好,而HT组则不然。在HT组中,与随访血压显著相关的唯一指标是两个血压变异性指标,标准差(SD)和变异性范围(RV80:第90百分位数减去第10百分位数)(初始24小时IAMB的SD与随访血压,r = 0.42至r = 0.52,P < 0.05至P < 0.01;RV80与随访血压,r = 0.43至r = 0.52,P < 0.05至P < 0.01)。随访血压与体位血压的相关性通常弱于与偶测血压或IAMB水平的相关性。分别对SBP和DBP进行线性逐步回归分析(包括所有IAMB变量)表明,随访血压的最佳单一预测指标是24小时IAMB的SBP水平,它解释了随访NAMB的SBP水平方差的41%(F = 52.6,P < 0.001)。然而,在第二项包括偶测值的分析中,仅偶测SBP就解释了随访NAMB的SBP方差的44%(F = 62.5,P < 0.001),而IAMB的SBP仅增加了4%(F = 5.5,P < 0.05)。对随访DBP的预测总是较差。5年后,70%的NT和86% 的HT仍处于其初始分类组,但67% 的BHT已变为高血压。在这些新的HT患者(n = 16)中,初始IAMB水平与随访NAMB水平的相关性最强(24小时SBP,r = 0.70,P < 0.01;24小时DBP,r = 0.55,P < 0.05)。另一个预测未来血压的重要人口统计学变量是5年期间体重的变化,它增加了对未来偶测SBP方差解释的10%(F = 12.5,P = 0.0007)和对偶测DBP方差解释的15%(F = 18.0,P = 0.0001);对于NAMB,该百分比更低。在逻辑回归中,那些变为高血压的NT和BHT患者(n = 22),如果他们在5年内体重增加11.7 kg或更多,则有75% 的概率变为高血压(X2 = 4.5,P = 0.03)。总之,在随访期间,所有组的血压都有升高趋势,尤其是BHT组。在预测未来血压方面,偶测血压与血压水平测量之间存在显著差异,它们对未来血压的解释价值通常小于50%。然而,对于变为高血压的BHT患者,血压水平和变异性测量在一定程度上改善了对随访血压的预测。体重增加是NT和BHT患者未来高血压的一个重要额外预测因素。