Literature DB >> 25069669

Visit-to-visit variability of blood pressure and cardiovascular disease and all-cause mortality: a systematic review and meta-analysis.

Keith M Diaz1, Rikki M Tanner2, Louise Falzon2, Emily B Levitan2, Kristi Reynolds2, Daichi Shimbo2, Paul Muntner2.   

Abstract

Visit-to-visit variability of blood pressure (BP) has been associated with cardiovascular disease (CVD) and mortality in some but not all studies. We conducted a systematic review and meta-analysis to examine the association between visit-to-visit variability of BP and CVD and all-cause mortality. Medical databases were searched through June 4, 2014, for studies meeting the following eligibility criteria: adult participants; BP measurements at ≥3 visits; follow-up for CVD, coronary heart disease, stroke, or mortality outcomes; events confirmed via database, death certificate, or event ascertainment committee; and adjustment for confounders. Data were extracted by 2 reviewers and pooled using a random-effects model. Overall, 8870 abstracts were identified of which 37 studies, representing 41 separate cohorts, met inclusion criteria. Across studies, visit-to-visit variability of systolic BP and diastolic BP showed significant associations with outcomes in 181 of 312 (58.0%) and 61 of 188 (32.4%) analyses, respectively. Few studies provided sufficient data for pooling risk estimates. For each 5 mm Hg higher SD of systolic BP, the pooled hazard ratio for stroke across 7 cohorts was 1.17 (95% confidence interval [CI], 1.07-1.28), for coronary heart disease across 4 cohorts was 1.27 (95% CI, 1.07-1.51), for CVD across 5 cohorts was 1.12 (95% CI, 0.98-1.28), for CVD mortality across 5 cohorts was 1.22 (95% CI, 1.09-1.35), and for all-cause mortality across 4 cohorts was 1.20 (95% CI, 1.05-1.36). In summary, modest associations between visit-to-visit variability of BP and CVD and all-cause mortality are present in published studies. However, these findings are limited by the small amount of data available for meta-analysis.
© 2014 American Heart Association, Inc.

Entities:  

Keywords:  blood pressure; cardiovascular diseases; meta-analysis; mortality; review

Mesh:

Year:  2014        PMID: 25069669      PMCID: PMC4217251          DOI: 10.1161/HYPERTENSIONAHA.114.03903

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


  44 in total

1.  Long-term prognostic implications of visit-to-visit blood pressure variability in patients with ischemic stroke.

Authors:  Kui-Kai Lau; Yuen-Kwun Wong; Kay-Cheong Teo; Richard S K Chang; Koon-Ho Chan; Sonny F K Hon; Ka-Lung Wat; Raymond T F Cheung; Leonard S W Li; Chung-Wah Siu; Hung-Fat Tse
Journal:  Am J Hypertens       Date:  2014-05-18       Impact factor: 2.689

2.  Association of age and BP variability with long-term mortality in hemodialysis patients.

Authors:  Ha Yeon Kim; Yong Un Kang; Chang Seong Kim; Joon Seok Choi; Eun Hui Bae; Seong Kwon Ma; Soo Wan Kim
Journal:  Kidney Blood Press Res       Date:  2014-04-08       Impact factor: 2.687

3.  Does change in blood pressure predict heart disease?

Authors:  A Hofman; M Feinleib; R J Garrison; A van Laar
Journal:  Br Med J (Clin Res Ed)       Date:  1983-07-23

4.  Long-term and ultra long-term blood pressure variability during follow-up and mortality in 14,522 patients with hypertension.

Authors:  Claire E Hastie; Panniyammakal Jeemon; Holli Coleman; Linsay McCallum; Rajan Patel; Jesse Dawson; William Sloan; Peter Meredith; Gregory C Jones; Scott Muir; Matthew Walters; Anna F Dominiczak; David Morrison; Gordon T McInnes; Sandosh Padmanabhan
Journal:  Hypertension       Date:  2013-08-19       Impact factor: 10.190

5.  Office blood pressure variability as a predictor of brain infarction in elderly hypertensive patients.

Authors:  Y Hata; Y Kimura; H Muratani; K Fukiyama; Y Kawano; T Ashida; M Yokouchi; Y Imai; T Ozawa; J Fujii; T Omae
Journal:  Hypertens Res       Date:  2000-11       Impact factor: 3.872

6.  Redefined blood pressure variability measure and its association with mortality in elderly primary care patients.

Authors:  Sujuan Gao; Hugh C Hendrie; Chenkun Wang; Timothy E Stump; Jesse C Stewart; Joe Kesterson; Daniel O Clark; Christopher M Callahan
Journal:  Hypertension       Date:  2014-05-05       Impact factor: 10.190

7.  Office blood pressure variability as a predictor of acute myocardial infarction in elderly patients receiving antihypertensive therapy.

Authors:  Y Hata; H Muratani; Y Kimura; K Fukiyama; Y Kawano; T Ashida; M Yokouchi; Y Imai; T Ozawa; J Fujii; T Omae
Journal:  J Hum Hypertens       Date:  2002-02       Impact factor: 3.012

8.  Systolic blood pressure variability as a risk factor for stroke and cardiovascular mortality in the elderly hypertensive population.

Authors:  Edward Pringle; Charles Phillips; Lutgarde Thijs; Christopher Davidson; Jan A Staessen; Peter W de Leeuw; Matti Jaaskivi; Choudomir Nachev; Gianfranco Parati; Eoin T O'Brien; Jaakko Tuomilehto; John Webster; Christopher J Bulpitt; Robert H Fagard
Journal:  J Hypertens       Date:  2003-12       Impact factor: 4.844

9.  Visit-to-visit systolic blood pressure variability predicts all-cause and cardiovascular mortality after lacunar infarct.

Authors:  K K Lau; Y K Wong; R S K Chang; K C Teo; S F K Hon; K H Chan; K L Wat; R T F Cheung; L S W Li; C W Siu; S L Ho; H F Tse
Journal:  Eur J Neurol       Date:  2013-11-23       Impact factor: 6.089

10.  Blood pressure variability and cardiovascular risk in the PROspective Study of Pravastatin in the Elderly at Risk (PROSPER).

Authors:  Rosalinde K E Poortvliet; Ian Ford; Suzanne M Lloyd; Naveed Sattar; Simon P Mooijaart; Anton J M de Craen; Rudi G J Westendorp; J Wouter Jukema; Christopher J Packard; Jacobijn Gussekloo; Wouter de Ruijter; David J Stott
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

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  72 in total

1.  Depression in hypertension and blood pressure variability over shorter time periods.

Authors:  Tomoyuki Kabutoya; Kazuomi Kario
Journal:  Hypertens Res       Date:  2015-08-20       Impact factor: 3.872

2.  Regional Fat Distribution and Blood Pressure Level and Variability: The Dallas Heart Study.

Authors:  Yuichiro Yano; Wanpen Vongpatanasin; Colby Ayers; Aslan Turer; Alvin Chandra; Mercedes R Carnethon; Philip Greenland; James A de Lemos; Ian J Neeland
Journal:  Hypertension       Date:  2016-07-18       Impact factor: 10.190

3.  Classifying individuals based on a densely captured sequence of vital signs: An example using repeated blood pressure measurements during hemodialysis treatment.

Authors:  Benjamin A Goldstein; Tara I Chang; Wolfgang C Winkelmayer
Journal:  J Biomed Inform       Date:  2015-08-13       Impact factor: 6.317

4.  Relationship between Within-Visit Blood Pressure Variability and Skeletal Muscle Mass.

Authors:  K-I Kim; M-G Kang; S-J Yoon; J-Y Choi; S-W Kim; C-H Kim
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

Review 5.  Hypertension in 2016: Blood pressure goals, variability and SGLT2 blockade in CKD.

Authors:  Debbie L Cohen; Raymond R Townsend
Journal:  Nat Rev Nephrol       Date:  2016-12-28       Impact factor: 28.314

6.  Visit-to-Visit Blood Pressure Variability and Mortality and Cardiovascular Outcomes Among Older Adults: The Health, Aging, and Body Composition Study.

Authors:  Chenkai Wu; Michael G Shlipak; Robert S Stawski; Carmen A Peralta; Bruce M Psaty; Tamara B Harris; Suzanne Satterfield; Eric J Shiroma; Anne B Newman; Michelle C Odden
Journal:  Am J Hypertens       Date:  2016-09-06       Impact factor: 2.689

7.  Long-term glucose variability and risk of nephropathy complication in UKPDS, ACCORD and VADT trials.

Authors:  Jin J Zhou; Ruth Coleman; Rury R Holman; Peter Reaven
Journal:  Diabetologia       Date:  2020-09-21       Impact factor: 10.122

Review 8.  Effects of Antihypertensive Therapy on Blood Pressure Variability.

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

Review 9.  Dynamics of biomarkers in relation to aging and mortality.

Authors:  Konstantin G Arbeev; Svetlana V Ukraintseva; Anatoliy I Yashin
Journal:  Mech Ageing Dev       Date:  2016-04-29       Impact factor: 5.432

10.  Visit-to-visit variability of blood pressure and death, end-stage renal disease, and cardiovascular events in patients with chronic kidney disease.

Authors:  Tara I Chang; Grace H Tabada; Jingrong Yang; Thida C Tan; Alan S Go
Journal:  J Hypertens       Date:  2016-02       Impact factor: 4.844

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