Literature DB >> 22763485

The International Database of HOme blood pressure in relation to Cardiovascular Outcome (IDHOCO): moving from baseline characteristics to research perspectives.

Teemu J Niiranen1, Lutgarde Thijs, Kei Asayama, Jouni K Johansson, Takayoshi Ohkubo, Masahiro Kikuya, José Boggia, Atsushi Hozawa, Edgardo Sandoya, George S Stergiou, Ichiro Tsuji, Antti M Jula, Yutaka Imai, Jan A Staessen.   

Abstract

The objective of this study is to construct an International Database of HOme blood pressure in relation to Cardiovascular Outcome (IDHOCO). The main goal of this database is to determine outcome-based diagnostic thresholds for the self-measured home blood pressure (BP). Secondary objectives include investigating the predictive value of white-coat and masked hypertension, morning and evening BP, BP and heart rate variability, and the home arterial stiffness index. We also aim to determine an optimal schedule for home BP measurements that provides the most accurate risk stratification. Eligible studies are population-based, have fatal as well as nonfatal outcomes available for analysis, comply with ethical standards, and have been previously published in peer-reviewed journals. In a meta-analysis based on individual subject data, composite and cause-specific cardiovascular events will be related to various indexes derived by home BP measurement. The analyses will be stratified by a cohort and adjusted for the clinic BP and established cardiovascular risk factors. The database includes 6753 subjects from five cohorts recruited in Ohasama, Japan (n=2777); Finland (n=2075); Tsurugaya, Japan (n=836); Didima, Greece (n=665); and Montevideo, Uruguay (n=400). In these five cohorts, during a total of 62 106 person-years of follow-up (mean 9.2 years), 852 subjects died and 740 participants experienced a fatal or nonfatal cardiovascular event. IDHOCO provides a unique opportunity to investigate several hypotheses that could not reliably be studied in individual studies. The results of these analyses should be of help to clinicians involved in the management of patients with suspected or established hypertension.

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Year:  2012        PMID: 22763485      PMCID: PMC3606707          DOI: 10.1038/hr.2012.97

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


  40 in total

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Authors:  Akira Yamashina; Hirofumi Tomiyama; Kazuhiro Takeda; Hideichi Tsuda; Tomio Arai; Kenichi Hirose; Yutaka Koji; Saburoh Hori; Yoshio Yamamoto
Journal:  Hypertens Res       Date:  2002-05       Impact factor: 3.872

2.  Comparison of acceptability of and preferences for different methods of measuring blood pressure in primary care.

Authors:  Paul Little; Jane Barnett; Lucy Barnsley; Jean Marjoram; Alex Fitzgerald-Barron; David Mant
Journal:  BMJ       Date:  2002-08-03

3.  Self blood pressure measurement at home: how many times?

Authors:  Gianfranco Parati; George Stergiou
Journal:  J Hypertens       Date:  2004-06       Impact factor: 4.844

4.  Prediction of stroke by self-measurement of blood pressure at home versus casual screening blood pressure measurement in relation to the Joint National Committee 7 classification: the Ohasama study.

Authors:  Kei Asayama; Takayoshi Ohkubo; Masahiro Kikuya; Hirohito Metoki; Haruhisa Hoshi; Junichiro Hashimoto; Kazuhito Totsune; Hiroshi Satoh; Yutaka Imai
Journal:  Stroke       Date:  2004-08-26       Impact factor: 7.914

5.  Clinical evaluation of semiautomatic and automatic devices for home blood pressure measurement: comparison between cuff-oscillometric and microphone methods.

Authors:  Y Imai; K Abe; S Sasaki; N Minami; M Munakata; H Sakuma; J Hashimoto; H Sekino; K Imai; K Yoshinaga
Journal:  J Hypertens       Date:  1989-12       Impact factor: 4.844

6.  Accuracy of the SpaceLabs 90207 determined by the British Hypertension Society protocol.

Authors:  E O'Brien; F Mee; N Atkins; K O'Malley
Journal:  J Hypertens       Date:  1991-06       Impact factor: 4.844

7.  Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project.

Authors:  R M Conroy; K Pyörälä; A P Fitzgerald; S Sans; A Menotti; G De Backer; D De Bacquer; P Ducimetière; P Jousilahti; U Keil; I Njølstad; R G Oganov; T Thomsen; H Tunstall-Pedoe; A Tverdal; H Wedel; P Whincup; L Wilhelmsen; I M Graham
Journal:  Eur Heart J       Date:  2003-06       Impact factor: 29.983

8.  Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies.

Authors:  Sarah Lewington; Robert Clarke; Nawab Qizilbash; Richard Peto; Rory Collins
Journal:  Lancet       Date:  2002-12-14       Impact factor: 79.321

9.  Cardiovascular prognosis of "masked hypertension" detected by blood pressure self-measurement in elderly treated hypertensive patients.

Authors:  Guillaume Bobrie; Gilles Chatellier; Nathalie Genes; Pierre Clerson; Laurent Vaur; Bernard Vaisse; Joël Menard; Jean-Michel Mallion
Journal:  JAMA       Date:  2004-03-17       Impact factor: 56.272

10.  Epidemiology of cardiovascular risk factors in Greece: aims, design and baseline characteristics of the ATTICA study.

Authors:  Christos Pitsavos; Demosthenes B Panagiotakos; Christina Chrysohoou; Christodoulos Stefanadis
Journal:  BMC Public Health       Date:  2003-10-20       Impact factor: 3.295

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  11 in total

1.  Relationship between office and home blood pressure with increasing age: The International Database of HOme blood pressure in relation to Cardiovascular Outcome (IDHOCO).

Authors:  Angeliki Ntineri; George S Stergiou; Lutgarde Thijs; Kei Asayama; José Boggia; Nadia Boubouchairopoulou; Atsushi Hozawa; Yutaka Imai; Jouni K Johansson; Antti M Jula; Anastasios Kollias; Leonella Luzardo; Teemu J Niiranen; Kyoko Nomura; Takayoshi Ohkubo; Ichiro Tsuji; Christophe Tzourio; Fang-Fei Wei; Jan A Staessen
Journal:  Hypertens Res       Date:  2016-04-07       Impact factor: 3.872

Review 2.  Practical use of home blood pressure monitoring in chronic kidney disease.

Authors:  Sarah Sanghavi; Joseph A Vassalotti
Journal:  Cardiorenal Med       Date:  2014-06-04       Impact factor: 2.041

Review 3.  Opposing Age-Related Trends in Absolute and Relative Risk of Adverse Health Outcomes Associated With Out-of-Office Blood Pressure.

Authors:  Yan Li; Lutgarde Thijs; Zhen-Yu Zhang; Kei Asayama; Tine W Hansen; José Boggia; Kristina Björklund-Bodegård; Wen-Yi Yang; Teemu J Niiranen; Angeliki Ntineri; Fang-Fei Wei; Masahiro Kikuya; Takayoshi Ohkubo; Eamon Dolan; Atsushi Hozawa; Ichiro Tsuji; Katarzyna Stolarz-Skrzypek; Qi-Fang Huang; Jesus D Melgarejo; Valérie Tikhonoff; Sofia Malyutina; Edoardo Casiglia; Yuri Nikitin; Lars Lind; Edgardo Sandoya; Lucas Aparicio; Jessica Barochiner; Natasza Gilis-Malinowska; Krzysztof Narkiewicz; Kalina Kawecka-Jaszcz; Gladys E Maestre; Antti M Jula; Jouni K Johansson; Tatiana Kuznetsova; Jan Filipovský; George Stergiou; Ji-Guang Wang; Yutaka Imai; Eoin O'Brien; Jan A Staessen
Journal:  Hypertension       Date:  2019-10-21       Impact factor: 10.190

Review 4.  Out-of-office blood pressure improves risk stratification in normotension and prehypertension people.

Authors:  Kei Asayama; Jana Brguljan-Hitij; Yutaka Imai
Journal:  Curr Hypertens Rep       Date:  2014-10       Impact factor: 5.369

5.  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

6.  Risk stratification by 24-hour ambulatory blood pressure and estimated glomerular filtration rate in 5322 subjects from 11 populations.

Authors:  José Boggia; Lutgarde Thijs; Yan Li; Tine W Hansen; Masahiro Kikuya; Kristina Björklund-Bodegård; Takayoshi Ohkubo; Jørgen Jeppesen; Christian Torp-Pedersen; Eamon Dolan; Tatiana Kuznetsova; Katarzyna Stolarz-Skrzypek; Valérie Tikhonoff; Sofia Malyutina; Edoardo Casiglia; Yuri Nikitin; Lars Lind; Emma Schwedt; Edgardo Sandoya; Kalina Kawecka-Jaszcz; Jan Filipovsky; Yutaka Imai; Jiguang Wang; Hans Ibsen; Eoin O'Brien; Jan A Staessen
Journal:  Hypertension       Date:  2012-11-19       Impact factor: 10.190

7.  Outcome-driven thresholds for home blood pressure measurement: international database of home blood pressure in relation to cardiovascular outcome.

Authors:  Teemu J Niiranen; Kei Asayama; Lutgarde Thijs; Jouni K Johansson; Takayoshi Ohkubo; Masahiro Kikuya; José Boggia; Atsushi Hozawa; Edgardo Sandoya; George S Stergiou; Ichiro Tsuji; Antti M Jula; Yutaka Imai; Jan A Staessen
Journal:  Hypertension       Date:  2012-11-05       Impact factor: 10.190

8.  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

9.  The design, rationale, and baseline characteristics of a nationwide cohort registry in China: blood pressure and clinical outcome in TIA or ischemic stroke.

Authors:  Jie Xu; Yi Liu; Yongli Tao; Xuewei Xie; Hongqiu Gu; Yuesong Pan; Xingquan Zhao; Yongjun Wang; Aoshuang Yan; Yilong Wang
Journal:  Patient Prefer Adherence       Date:  2016-12-01       Impact factor: 2.711

10.  More accurate systolic blood pressure measurement is required for improved hypertension management: a perspective.

Authors:  Meir Nitzan; Itzchak Slotki; Linda Shavit
Journal:  Med Devices (Auckl)       Date:  2017-07-24
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