Literature DB >> 15917279

Use of 2003 European Society of Hypertension-European Society of Cardiology guidelines for predicting stroke using self-measured blood pressure at home: the Ohasama study.

Kei Asayama1, Takayoshi Ohkubo, Masahiro Kikuya, Hirohito Metoki, Taku Obara, Haruhisa Hoshi, Junichiro Hashimoto, Kazuhito Totsune, Hiroshi Satoh, Yutaka Imai.   

Abstract

AIMS: To evaluate the predictive power of the risk stratification system proposed in the 2003 European Society of Hypertension-European Society of Cardiology (2003 ESH-ESC) guidelines and to compare self-measured blood pressure at home (HBP) with casual-screening blood pressure (CBP) for prediction of first stroke among a general Japanese population. METHODS AND
RESULTS: HBP and CBP were measured in 1702 subjects (> or = 40 years) who had no history of stroke and who were followed for an average of 11 years. The subjects were assigned to one of five groups with differential risk stratification according to the 2003 ESH-ESC criteria: average risk, low added risk, moderate added risk, high added risk, and very high added risk. Even in the low risk group a significantly high risk for stroke was observed, and there was a linear step up of stroke risk based on HBP, as well as on CBP. On the basis of HBP classification, a higher stroke incidence was observed in the high and very high groups compared with CBP classification.
CONCLUSION: The risk stratification system proposed in the 2003 ESH-ESC guidelines is valid for the prediction of stroke in this Japanese study population, and has a stronger predictive power when based on HBP than on CBP. The results indicate the usefulness of HBP for the prediction of stroke risk in individuals.

Entities:  

Mesh:

Year:  2005        PMID: 15917279     DOI: 10.1093/eurheartj/ehi330

Source DB:  PubMed          Journal:  Eur Heart J        ISSN: 0195-668X            Impact factor:   29.983


  12 in total

Review 1.  Clinical significance of home blood pressure and its possible practical application.

Authors:  Yutaka Imai
Journal:  Clin Exp Nephrol       Date:  2013-07-03       Impact factor: 2.801

Review 2.  Does blood pressure variability contribute to risk stratification? Methodological issues and a review of outcome studies based on home blood pressure.

Authors:  Kei Asayama; Fang-Fei Wei; Yan-Ping Liu; Azusa Hara; Yu-Mei Gu; Rudolph Schutte; Yan Li; Lutgarde Thijs; Jan A Staessen
Journal:  Hypertens Res       Date:  2014-10-16       Impact factor: 3.872

3.  A pharmacist intervention for monitoring and treating hypertension using bidirectional texting: PharmText BP.

Authors:  Linnea A Polgreen; Barry L Carter; Philip M Polgreen; Peter M Snyder; Daniel K Sewell; Emine O Bayman; Shelby L Francis; Jacob E Simmering; Christopher Parker; Rachel Finkelstein
Journal:  Contemp Clin Trials       Date:  2020-10-07       Impact factor: 2.226

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

Review 5.  Home blood pressure monitoring: how good a predictor of long-term risk?

Authors:  Samia Sheikh; Arjun D Sinha; Rajiv Agarwal
Journal:  Curr Hypertens Rep       Date:  2011-06       Impact factor: 5.369

Review 6.  A personal history of research on hypertension From an encounter with hypertension to the development of hypertension practice based on out-of-clinic blood pressure measurements.

Authors:  Yutaka Imai
Journal:  Hypertens Res       Date:  2022-09-08       Impact factor: 5.528

Review 7.  Relative effectiveness of clinic and home blood pressure monitoring compared with ambulatory blood pressure monitoring in diagnosis of hypertension: systematic review.

Authors:  J Hodgkinson; J Mant; U Martin; B Guo; F D R Hobbs; J J Deeks; C Heneghan; N Roberts; R J McManus
Journal:  BMJ       Date:  2011-06-24

Review 8.  Prognostic value of blood pressure variability and average blood pressure levels in patients with hypertension and diabetes.

Authors:  Gianfranco Parati; Juan Eugenio Ochoa; Paolo Salvi; Carolina Lombardi; Grzegorz Bilo
Journal:  Diabetes Care       Date:  2013-08       Impact factor: 19.112

9.  A texting-based blood pressure surveillance intervention.

Authors:  Roula S Zahr; Chris A Anthony; Philip M Polgreen; Jacob E Simmering; Christopher J Goerdt; Angela B Hoth; Michelle L Miller; Manish Suneja; Alberto M Segre; Barry L Carter; Joseph E Cavanaugh; Linnea A Polgreen
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-09-10       Impact factor: 3.738

Review 10.  What is the evidence base for diagnosing hypertension and for subsequent blood pressure treatment targets in the prevention of cardiovascular disease?

Authors:  Claire L Schwartz; Richard J McManus
Journal:  BMC Med       Date:  2015-10-12       Impact factor: 8.775

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