Literature DB >> 34811481

Comparative accuracies of automated and manual office blood pressure measurements in a Chinese population.

Eric K P Lee1, MengTing Zhu2, Dicken C C Chan2, Benjamin H K Yip2, Richard McManus3, Samuel Y S Wong2.   

Abstract

We aimed to assess the difference in the accuracy of readings from automated office blood pressure machines with each other or with manual office blood pressure measurements in Chinese individuals. We collected awake 48-h ambulatory blood pressure monitoring, two automated office blood pressure device (BpTRU and WatchBP) readings, and manual office blood pressure measurements in Chinese patients (n = 135) with hypertension in a randomized sequence. Differences were compared using paired t-tests and Bland-Altman plots. The sensitivity and specificity of the techniques for detecting elevated blood pressure were calculated using awake ambulatory blood pressure monitoring as the reference standard. The WatchBP device's and awake ambulatory blood pressure readings were similar. The BpTRU device provided significantly lower mean systolic (P < 0.001) and diastolic (P < 0.001) blood pressure readings, while manual office BP provided significantly higher mean systolic (P = 0.008) and diastolic (P < 0.001) blood pressure readings than the awake automated office blood pressure readings. Automated and manual office blood pressure measurements showed similar sensitivity, specificity, and 95% limits of agreement as based on Bland-Altman plots. The mean systolic (P < 0.001) and diastolic (P < 0.02) blood pressure readings of WatchBP and BpTRU differed, and their diagnostic performances were not superior than those of manual office blood pressure measurements in Chinese patients. Therefore, automated office blood pressure measurements cannot be routinely recommended for Chinese individuals in clinical practice. More studies are needed to confirm these results.
© 2021. The Author(s), under exclusive licence to The Japanese Society of Hypertension.

Entities:  

Keywords:  Ambulatory blood pressure monitoring; Blood pressure; Blood pressure monitors; Chinese; Hypertension

Mesh:

Year:  2021        PMID: 34811481     DOI: 10.1038/s41440-021-00779-y

Source DB:  PubMed          Journal:  Hypertens Res        ISSN: 0916-9636            Impact factor:   3.872


  5 in total

1.  Comparison of Automated Office Blood Pressure With Office and Out-Off-Office Measurement Techniques.

Authors:  Marco Pappaccogli; Silvia Di Monaco; Elisa Perlo; Jacopo Burrello; Fabrizio D'Ascenzo; Franco Veglio; Silvia Monticone; Franco Rabbia
Journal:  Hypertension       Date:  2019-02       Impact factor: 10.190

2.  Helicobacter pylori infection and prevalence of high blood pressure among Chinese adults.

Authors:  Zhengce Wan; Liu Hu; Mei Hu; Xiaomei Lei; Yuancheng Huang; Yongman Lv
Journal:  J Hum Hypertens       Date:  2017-12-30       Impact factor: 3.012

3.  Long-term relationship between unattended automated blood pressure and auscultatory BP measurements in hypertensive patients.

Authors:  Jitka Seidlerová; Jiří Ceral; Markéta Mateřánková; Petr König; Ivan Řiháček; Petra Vysočanová; Miroslav Souček; Jan Filipovský
Journal:  Blood Press       Date:  2018-11-25       Impact factor: 2.835

Review 4.  Automated office blood pressure measurement in primary care.

Authors:  Martin G Myers; Janusz Kaczorowski; Martin Dawes; Marshall Godwin
Journal:  Can Fam Physician       Date:  2014-02       Impact factor: 3.275

5.  Cardiovascular risk profile and frailty in Japanese outpatients: the Nambu Cohort Study.

Authors:  Mitsuteru Matsuoka; Taku Inoue; Tetsuji Shinjo; Asuka Miiji; Masahiro Tamashiro; Kageyuki Oba; Hisatomi Arima; Osamu Arasaki
Journal:  Hypertens Res       Date:  2020-03-17       Impact factor: 3.872

  5 in total
  1 in total

Review 1.  Update on Hypertension Research in 2021.

Authors:  Masaki Mogi; Tatsuya Maruhashi; Yukihito Higashi; Takahiro Masuda; Daisuke Nagata; Michiaki Nagai; Kanako Bokuda; Atsuhiro Ichihara; Yoichi Nozato; Ayumi Toba; Keisuke Narita; Satoshi Hoshide; Atsushi Tanaka; Koichi Node; Yuichi Yoshida; Hirotaka Shibata; Kenichi Katsurada; Masanari Kuwabara; Takahide Kodama; Keisuke Shinohara; Kazuomi Kario
Journal:  Hypertens Res       Date:  2022-07-05       Impact factor: 5.528

  1 in total

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