Literature DB >> 33245630

Comparison between unattended automated office blood pressure and conventional office blood pressure under the environment of health checkup among Japanese general population.

Hirofumi Sakuma1, Naoki Nakagawa1, Kiwamu Horiuchi1, Taiki Hayasaka1, Keisuke Maruyama1, Jun Sawada1, Akiho Minoshima1, Takayuki Fujino1, Toshiharu Takeuchi1, Nobuyuki Sato1, Shinobu Osanai1, Naoyuki Hasebe1.   

Abstract

Unattended automated office blood pressure (AOBP) measurement has been endorsed as the preferred in-office measurement modality in recent Canadian and American clinical practice guidelines. However, the difference between AOBP and conventional office blood pressure (CBP) under the environment of a health checkup remains unclear. We aimed to identify the clinical significance of AOBP as compared to CBP under the environment of a health checkup. There were 491 participants (333 females, mean age of 62.5 years) who were at least 20 years old, including 179 participants who were previously diagnosed with hypertension. Mean AOBPs were 131.8 ± 20.9/76.6 ± 11.7 mm Hg, and CBPs were 135.6 ± 21.6/77.3 ± 11.5 mm Hg. There was a difference of 3.9 mm Hg in systolic blood pressure (SBP) and 0.8 mm Hg in diastolic BP between AOBP and CBP. In all participants, SBP and pulse pressure, as well as the white coat effect (WCE), increased with age. The cutoff value used was 140/90 mm Hg for CBP and 135/85 mm Hg for AOBP, and the prevalence of WCE and masked hypertension effect (MHE) was 12.4% and 14.1%, respectively. Even in a health checkup environment of the general population, there was a difference between the AOBP and CBP, and the WCE was observed more strongly in the elderly with a history of hypertension, suggesting that a combination of AOBP with CBP may be useful in detecting WCE and MHE in all clinical scenarios including health checkups, and help solve the "hypertension paradox" not only in Japan but in all over the world.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  automated office blood pressure; conventional office blood pressure; general population; health checkup; masked hypertension; white coat effect

Mesh:

Year:  2020        PMID: 33245630      PMCID: PMC8029665          DOI: 10.1111/jch.14008

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


  22 in total

1.  The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2014).

Authors:  Kazuaki Shimamoto; Katsuyuki Ando; Toshiro Fujita; Naoyuki Hasebe; Jitsuo Higaki; Masatsugu Horiuchi; Yutaka Imai; Tsutomu Imaizumi; Toshihiko Ishimitsu; Masaaki Ito; Sadayoshi Ito; Hiroshi Itoh; Hiroshi Iwao; Hisashi Kai; Kazuomi Kario; Naoki Kashihara; Yuhei Kawano; Shokei Kim-Mitsuyama; Genjiro Kimura; Katsuhiko Kohara; Issei Komuro; Hiroo Kumagai; Hideo Matsuura; Katsuyuki Miura; Ryuichi Morishita; Mitsuhide Naruse; Koichi Node; Yusuke Ohya; Hiromi Rakugi; Ikuo Saito; Shigeyuki Saitoh; Kazuyuki Shimada; Tatsuo Shimosawa; Hiromichi Suzuki; Kouichi Tamura; Norio Tanahashi; Takuya Tsuchihashi; Makoto Uchiyama; Shinichiro Ueda; Satoshi Umemura
Journal:  Hypertens Res       Date:  2014-04       Impact factor: 3.872

Review 2.  Impact of the 2017 American College of Cardiology/American Heart Association Blood Pressure Guidelines on the Next Blood Pressure Guidelines in Asia.

Authors:  Naoki Nakagawa; Naoyuki Hasebe
Journal:  Curr Hypertens Rep       Date:  2019-01-10       Impact factor: 5.369

3.  Accuracy and applicability of the Terumo ES-H55 double-cuff sphygmomanometer for hospital use.

Authors:  Osamu Tochikubo; Kiyoko Nishijima; Kenji Ohshige; Kazuo Kimura
Journal:  Blood Press Monit       Date:  2003-10       Impact factor: 1.444

4.  Unattended versus attended automated office blood pressure: Systematic review and meta-analysis of studies using the same methodology for both methods.

Authors:  Anastasios Kollias; Emelina Stambolliu; Konstantinos G Kyriakoulis; Areti Gravvani; George S Stergiou
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-12-25       Impact factor: 3.738

5.  Comparison of blood pressure values-self-measured at home, measured at an unattended office, and measured at a conventional attended office.

Authors:  Kei Asayama; Takayoshi Ohkubo; Hiromi Rakugi; Masaaki Miyakawa; Hisao Mori; Tomohiro Katsuya; Yumi Ikehara; Shinichiro Ueda; Yusuke Ohya; Takuya Tsuchihashi; Kazuomi Kario; Katsuyuki Miura; Naoyuki Hasebe; Sadayoshi Ito; Satoshi Umemura
Journal:  Hypertens Res       Date:  2019-06-21       Impact factor: 3.872

6.  Comparison between unattended automated office blood pressure and conventional office blood pressure under the environment of health checkup among Japanese general population.

Authors:  Hirofumi Sakuma; Naoki Nakagawa; Kiwamu Horiuchi; Taiki Hayasaka; Keisuke Maruyama; Jun Sawada; Akiho Minoshima; Takayuki Fujino; Toshiharu Takeuchi; Nobuyuki Sato; Shinobu Osanai; Naoyuki Hasebe
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-08-15       Impact factor: 3.738

7.  Setting thresholds to varying blood pressure monitoring intervals differentially affects risk estimates associated with white-coat and masked hypertension in the population.

Authors:  Kei Asayama; Lutgarde Thijs; Yan Li; Yu-Mei Gu; Azusa Hara; Yan-Ping Liu; Zhenyu Zhang; Fang-Fei Wei; Inés Lujambio; Luis J Mena; José Boggia; Tine W Hansen; Kristina Björklund-Bodegård; Kyoko Nomura; Takayoshi Ohkubo; Jørgen Jeppesen; Christian Torp-Pedersen; Eamon Dolan; Katarzyna Stolarz-Skrzypek; Sofia Malyutina; Edoardo Casiglia; Yuri Nikitin; Lars Lind; Leonella Luzardo; Kalina Kawecka-Jaszcz; Edgardo Sandoya; Jan Filipovský; Gladys E Maestre; Jiguang Wang; Yutaka Imai; Stanley S Franklin; Eoin O'Brien; Jan A Staessen
Journal:  Hypertension       Date:  2014-08-18       Impact factor: 10.190

8.  Comparing Automated Office Blood Pressure Readings With Other Methods of Blood Pressure Measurement for Identifying Patients With Possible Hypertension: A Systematic Review and Meta-analysis.

Authors:  Michael Roerecke; Janusz Kaczorowski; Martin G Myers
Journal:  JAMA Intern Med       Date:  2019-03-01       Impact factor: 44.409

Review 9.  2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Paul K Whelton; Robert M Carey; Wilbert S Aronow; Donald E Casey; Karen J Collins; Cheryl Dennison Himmelfarb; Sondra M DePalma; Samuel Gidding; Kenneth A Jamerson; Daniel W Jones; Eric J MacLaughlin; Paul Muntner; Bruce Ovbiagele; Sidney C Smith; Crystal C Spencer; Randall S Stafford; Sandra J Taler; Randal J Thomas; Kim A Williams; Jeff D Williamson; Jackson T Wright
Journal:  Hypertension       Date:  2017-11-13       Impact factor: 9.897

10.  Effects of olmesartan-based treatment on masked, white-coat, poorly controlled, and well-controlled hypertension: HONEST study.

Authors:  Kazuomi Kario; Ikuo Saito; Toshio Kushiro; Satoshi Teramukai; Yusuke Ishikawa; Fumiaki Kobayashi; Kazuyuki Shimada
Journal:  J Clin Hypertens (Greenwich)       Date:  2014-04-25       Impact factor: 3.738

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  1 in total

1.  Comparison between unattended automated office blood pressure and conventional office blood pressure under the environment of health checkup among Japanese general population.

Authors:  Hirofumi Sakuma; Naoki Nakagawa; Kiwamu Horiuchi; Taiki Hayasaka; Keisuke Maruyama; Jun Sawada; Akiho Minoshima; Takayuki Fujino; Toshiharu Takeuchi; Nobuyuki Sato; Shinobu Osanai; Naoyuki Hasebe
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-08-15       Impact factor: 3.738

  1 in total

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