Literature DB >> 22215704

Prognostic value of the variability in home-measured blood pressure and heart rate: the Finn-Home Study.

Jouni K Johansson1, Teemu J Niiranen, Pauli J Puukka, Antti M Jula.   

Abstract

The objective of the study was to assess the prognostic value of variability in home-measured blood pressure (BP) and heart rate (HR) in a general population. We studied a representative sample of the Finnish adult population with 1866 study subjects aged 45-74 years. BP and HR self-measurements were performed on 7 consecutive days. The variabilities of BP and HR were defined as the SDs of morning minus evening, day-by-day, and first minus second measurements. The primary end point was incidence of a cardiovascular event. The secondary end point was total mortality. During a follow-up of 7.8 years, 179 subjects had experienced a cardiovascular event, and 130 subjects had died. In Cox proportional hazard models adjusted for age, sex, BP/HR, and other cardiovascular risk factors, morning-evening home BP variability (systolic/diastolic relative hazard: 1.04/1.10 [95% CI: 1.01-1.07/1.05-1.15] per 1-mm Hg increase in BP variability) and morning day-by-day home BP variability (relative hazard: 1.04/1.10 [95% CI: 1.00-1.07/1.04-1.16] per 1-mm Hg increase in BP variability) were predictive of cardiovascular events. Morning-evening home HR variability (relative hazard: 1.07 [95% CI: 1.02-1.12] per 1-bpm increase in HR variability) and morning day-by-day home HR variability (relative hazard: 1.11 [95% CI: 1.05-1.17] per 1-bpm increase in HR variability) were also independent predictors of cardiovascular events. Greater variabilities of morning home BP and HR are independent predictors of cardiovascular events. Because the variabilities of home BP and HR are easily acquired in conjunction with home BP and HR level, they should be used as the additive information in the assessment of cardiovascular risk.

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Year:  2012        PMID: 22215704     DOI: 10.1161/HYPERTENSIONAHA.111.178657

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  64 in total

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Authors:  Jun Liu; Rui-Xue DU; Liang Wang; Bin Zhu; Lei-Ming Luo
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-07-20

Review 3.  Does blood pressure variability contribute to risk stratification? Methodological issues and a review of outcome studies based on home blood pressure.

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Review 4.  Blood pressure variability: assessment, predictive value, and potential as a therapeutic target.

Authors:  Gianfranco Parati; Juan Eugenio Ochoa; Carolina Lombardi; Grzegorz Bilo
Journal:  Curr Hypertens Rep       Date:  2015-04       Impact factor: 5.369

5.  The effects of increasing calcium channel blocker dose vs. adding a diuretic to treatment regimens for patients with uncontrolled hypertension.

Authors:  Shigemasa Tani; Kei Asayama; Koji Oiwa; Shinsuke Harasawa; Katsuaki Okubo; Atsuhiko Takahashi; Ayumi Tanabe; Takayoshi Ohkubo; Atsushi Hirayama; Toshio Kushiro
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6.  Short-term blood pressure variability and long-term blood pressure variability: which one is a reliable predictor for recurrent stroke.

Authors:  Y Tao; J Xu; B Song; X Xie; H Gu; Q Liu; L Zhao; Y Wang; Y Xu; Y Wang
Journal:  J Hum Hypertens       Date:  2017-04-27       Impact factor: 3.012

Review 7.  Assessment and management of blood-pressure variability.

Authors:  Gianfranco Parati; Juan E Ochoa; Carolina Lombardi; Grzegorz Bilo
Journal:  Nat Rev Cardiol       Date:  2013-02-12       Impact factor: 32.419

8.  Factors affecting variability in home blood pressure in patients with type 2 diabetes: post hoc analysis of a cross-sectional multicenter study.

Authors:  E Ushigome; M Fukui; M Hamaguchi; T Tanaka; H Atsuta; S-i Mogami; Y Oda; M Yamazaki; G Hasegawa; N Nakamura
Journal:  J Hum Hypertens       Date:  2014-02-06       Impact factor: 3.012

Review 9.  Effects of Antihypertensive Therapy on Blood Pressure Variability.

Authors:  Kazuo Eguchi
Journal:  Curr Hypertens Rep       Date:  2016-10       Impact factor: 5.369

Review 10.  Blood pressure variability, cardiovascular risk, and risk for renal disease progression.

Authors:  Gianfranco Parati; Juan E Ochoa; Grzegorz Bilo
Journal:  Curr Hypertens Rep       Date:  2012-10       Impact factor: 5.369

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