Kronish Ian M, Edmondson Donald, Shimbo Daichi, Shaffer Jonathan A, Krakoff Lawrence R, Schwartz Joseph E
Center for Behavioral Cardiovascular Health, Department of Medicine, Columbia University Medical Center, New York, New York, USA.
Department of Psychology, University of Colorado, Denver, Colorado, USA.
Am J Hypertens. 2018 Jun 11;31(7):827-834. doi: 10.1093/ajh/hpy053.
The optimal approach to measuring office blood pressure (BP) is uncertain. We aimed to compare BP measurement protocols that differed based on numbers of readings within and between visits and by assessment method.
We enrolled a sample of 707 employees without known hypertension or cardiovascular disease, and obtained 6 standardized BP readings during each of 3 office visits at least 1 week apart, using mercury sphygmomanometer and BpTRU oscillometric devices (18 readings per participant) for a total of 12,645 readings. We used confirmatory factor analysis to develop a model estimating "true" office BP that could be used to compare the probability of correctly classifying participants' office BP status using differing numbers and types of office BP readings.
Averaging 2 systolic BP readings across 2 visits correctly classified participants as having BP below or above the 140 mm Hg threshold at least 95% of the time if the averaged reading was <134 or >149 mm Hg, respectively. Our model demonstrated that more confidence was gained by increasing the number of visits with readings than by increasing the number of readings within a visit. No clinically significant confidence was gained by dropping the first reading vs. averaging all readings, nor by measuring with a manual mercury device vs. with an automated oscillometric device.
Averaging 2 BP readings across 2 office visits appeared to best balance increased confidence in office BP status with efficiency of BP measurement, though the preferred measurement strategy may vary with the clinical context.
测量诊室血压(BP)的最佳方法尚无定论。我们旨在比较基于就诊期间及就诊之间读数数量以及评估方法不同的血压测量方案。
我们纳入了707名无高血压或心血管疾病史的员工样本,在至少间隔1周的3次诊室就诊期间,每次使用汞柱式血压计和BpTRU示波装置获取6次标准化血压读数(每位参与者共18次读数),总计12,645次读数。我们使用验证性因子分析来建立一个估计“真实”诊室血压的模型,该模型可用于比较使用不同数量和类型的诊室血压读数正确分类参与者诊室血压状态的概率。
如果两次就诊的平均收缩压读数分别<134或>149 mmHg,那么将两次就诊的收缩压读数平均后,至少95%的情况下能正确将参与者分类为血压低于或高于140 mmHg阈值。我们的模型表明,通过增加有读数的就诊次数比增加单次就诊的读数数量能获得更高的可信度。与对所有读数求平均值相比,舍弃第一次读数并没有获得临床上显著的可信度提升,使用手动汞柱式装置测量与使用自动示波装置测量相比也没有显著差异。
在两次诊室就诊时对两次血压读数求平均值似乎能在提高对诊室血压状态的可信度与血压测量效率之间达到最佳平衡,不过首选的测量策略可能因临床背景而异。