Literature DB >> 31222188

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

Kei Asayama1,2, Takayoshi Ohkubo3,4, Hiromi Rakugi5, Masaaki Miyakawa6, Hisao Mori7, Tomohiro Katsuya8,9, Yumi Ikehara10, Shinichiro Ueda11, Yusuke Ohya12, Takuya Tsuchihashi13, Kazuomi Kario14,15, Katsuyuki Miura16,17, Naoyuki Hasebe18, Sadayoshi Ito19, Satoshi Umemura20.   

Abstract

Self-measured blood pressure (BP) at home (HBP) has been commonly used in clinical practice. Although the unattended office BP (UBP), in which a patient is left alone before and during the measurement, has been investigated, the advantages of UBP over HBP or conventionally measured attended office BP obtained using automated devices (CBP) remain unclear. We performed a multicenter clinical study in Japan to compare the UBP, CBP, and HBP among 308 patients with hypertension at 3 clinics (women, 57.8%; mean age 71.8 years; under antihypertensive drug therapy, 96.4%). The patients measured HBP twice in the morning and twice in the evening for 5 days according to the Japanese Society of Hypertension guidelines. Using the Omron HEM-907 cuff-oscillometric device, the UBP and CBP were measured in line with the protocol in the Systolic blood PRessure INtervention Trial (SPRINT) and in accordance with the guidelines, respectively. Correlation coefficients were ≤0.16 for the comparison of UBP versus morning and evening HBP for the systolic measurement, whereas they were approximately 0.5 (P < 0.001) for the diastolic measurement. The difference between UBP minus HBP was small on average but varied among individuals (mean ± SD for UBP minus morning HBP: 0.9 ± 17.8/-4.5 ± 10.5 mmHg; UBP minus evening HBP: 5.7 ± 17.8/-0.1 ± 11.3 mmHg). In contrast, the measurement values of CBP and UBP were highly correlated (r ≥ 0.72), but the difference between CBP minus UBP was 10.4 ± 12.0/4.2 ± 6.5 mmHg. Based on the low correlations and wide range of differences, UBP cannot be used as an alternative to HBP.

Entities:  

Keywords:  Conventional office blood pressure. Automated office blood pressure. Home blood pressure. Patient population. Attended and unattended measurement

Mesh:

Year:  2019        PMID: 31222188     DOI: 10.1038/s41440-019-0287-6

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


  31 in total

1.  Home blood pressure and cardiovascular outcomes in patients during antihypertensive therapy: primary results of HONEST, a large-scale prospective, real-world observational study.

Authors:  Kazuomi Kario; Ikuo Saito; Toshio Kushiro; Satoshi Teramukai; Yusuke Ishikawa; Yoshihiro Mori; Fumiaki Kobayashi; Kazuyuki Shimada
Journal:  Hypertension       Date:  2014-08-25       Impact factor: 10.190

2.  Home blood pressure measurement has a stronger predictive power for mortality than does screening blood pressure measurement: a population-based observation in Ohasama, Japan.

Authors:  T Ohkubo; Y Imai; I Tsuji; K Nagai; J Kato; N Kikuchi; A Nishiyama; A Aihara; M Sekino; M Kikuya; S Ito; H Satoh; S Hisamichi
Journal:  J Hypertens       Date:  1998-07       Impact factor: 4.844

3.  The importance and prognostic value of nocturnal blood pressure assessments using inexpensive domestic devices.

Authors:  Geoffrey A Head
Journal:  J Hypertens       Date:  2017-03       Impact factor: 4.844

4.  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

5.  The design and rationale of a multicenter clinical trial comparing two strategies for control of systolic blood pressure: the Systolic Blood Pressure Intervention Trial (SPRINT).

Authors:  Walter T Ambrosius; Kaycee M Sink; Capri G Foy; Dan R Berlowitz; Alfred K Cheung; William C Cushman; Lawrence J Fine; David C Goff; Karen C Johnson; Anthony A Killeen; Cora E Lewis; Suzanne Oparil; David M Reboussin; Michael V Rocco; Joni K Snyder; Jeff D Williamson; Jackson T Wright; Paul K Whelton
Journal:  Clin Trials       Date:  2014-06-05       Impact factor: 2.486

Review 6.  Automated Office Blood Pressure-Incorporating SPRINT Into Clinical Practice.

Authors:  Martin G Myers
Journal:  Am J Hypertens       Date:  2016-08-22       Impact factor: 2.689

Review 7.  Diurnal blood pressure changes.

Authors:  Kei Asayama; Michihiro Satoh; Masahiro Kikuya
Journal:  Hypertens Res       Date:  2018-05-23       Impact factor: 3.872

8.  Cardiovascular Risk in Hypertension in Relation to Achieved Blood Pressure Using Automated Office Blood Pressure Measurement.

Authors:  Martin G Myers; Janusz Kaczorowski; Lisa Dolovich; Karen Tu; J Michael Paterson
Journal:  Hypertension       Date:  2016-08-15       Impact factor: 10.190

9.  A Randomized Trial of Intensive versus Standard Blood-Pressure Control.

Authors:  Jackson T Wright; Jeff D Williamson; Paul K Whelton; Joni K Snyder; Kaycee M Sink; Michael V Rocco; David M Reboussin; Mahboob Rahman; Suzanne Oparil; Cora E Lewis; Paul L Kimmel; Karen C Johnson; David C Goff; Lawrence J Fine; Jeffrey A Cutler; William C Cushman; Alfred K Cheung; Walter T Ambrosius
Journal:  N Engl J Med       Date:  2015-11-09       Impact factor: 91.245

10.  Risk stratification by self-measured home blood pressure across categories of conventional blood pressure: a participant-level meta-analysis.

Authors:  Kei Asayama; Lutgarde Thijs; Jana Brguljan-Hitij; Teemu J Niiranen; Atsushi Hozawa; José Boggia; Lucas S Aparicio; Azusa Hara; Jouni K Johansson; Takayoshi Ohkubo; Christophe Tzourio; George S Stergiou; Edgardo Sandoya; Ichiro Tsuji; Antti M Jula; Yutaka Imai; Jan A Staessen
Journal:  PLoS Med       Date:  2014-01-21       Impact factor: 11.069

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  9 in total

1.  Recent status of self-measured home blood pressure in the Japanese general population: a modern database on self-measured home blood pressure (MDAS).

Authors:  Kei Asayama; Yasuharu Tabara; Emi Oishi; Satoko Sakata; Takashi Hisamatsu; Kayo Godai; Mai Kabayama; Yukako Tatsumi; Jun Hata; Masahiro Kikuya; Kei Kamide; Katsuyuki Miura; Toshiharu Ninomiya; Takayoshi Ohkubo
Journal:  Hypertens Res       Date:  2020-08-05       Impact factor: 3.872

Review 2.  The optimal use of automated office blood pressure measurement in clinical practice.

Authors:  Emmanuel A Andreadis; Charalampia V Geladari; Epameinondas T Angelopoulos
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-02-28       Impact factor: 3.738

3.  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

Review 4.  Key Points of the 2019 Japanese Society of Hypertension Guidelines for the Management of Hypertension.

Authors:  Kazuomi Kario
Journal:  Korean Circ J       Date:  2019-12       Impact factor: 3.243

5.  Antihypertensive drug effects according to the pretreatment self-measured home blood pressure: the HOMED-BP study.

Authors:  Hikari Sano; Azusa Hara; Kei Asayama; Seiko Miyazaki; Masahiro Kikuya; Yutaka Imai; Takayoshi Ohkubo
Journal:  BMJ Open       Date:  2020-12-12       Impact factor: 2.692

6.  Direct comparison of the reproducibility of in-office and self-measured home blood pressures.

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; Sadayoshi Ito; Satoshi Umemura
Journal:  J Hypertens       Date:  2022-02-01       Impact factor: 4.844

7.  Differences of blood pressure measured at clinic versus at home in the morning and in the evening in Europe and Asia: A systematic review and meta-analysis.

Authors:  Huanhuan Miao; Shijie Yang; Yuqing Zhang
Journal:  J Clin Hypertens (Greenwich)       Date:  2022-04-29       Impact factor: 2.885

8.  Comparison among research, home, and office blood pressure measurements for pregnant women: The TMM BirThree Cohort Study.

Authors:  Takuma Usuzaki; Mami Ishikuro; Hirohito Metoki; Keiko Murakami; Aoi Noda; Fumihiko Ueno; Masahiro Kikuya; Taku Obara; Shinichi Kuriyama
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-09-23       Impact factor: 3.738

9.  Intensive blood pressure treatment in coronary artery disease: implications from the Systolic Blood Pressure Intervention Trial (SPRINT).

Authors:  Jiabin Zang; Jianwen Liang; Xiaodong Zhuang; Shaozhao Zhang; Xinxue Liao; Guifu Wu
Journal:  J Hum Hypertens       Date:  2021-02-15       Impact factor: 3.012

  9 in total

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