Literature DB >> 24799611

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

Sujuan Gao1, Hugh C Hendrie2, Chenkun Wang2, Timothy E Stump2, Jesse C Stewart2, Joe Kesterson2, Daniel O Clark2, Christopher M Callahan2.   

Abstract

Visit-to-visit blood pressure (BP) variability has received considerable attention recently. The objective of our study is to define a variability measure that is independent of change over time and determine the association between longitudinal summary measures of BP measurements and mortality risk. Data for the study came from a prospective cohort of 2906 adults, aged ≥60 years, in an urban primary care system with ≤15 years of follow-up. Dates of death for deceased participants were retrieved from the National Death Index. Systolic and diastolic BP measurements from outpatient clinic visits were extracted from the Regenstrief Medical Record System. For each patient, the intercept, regression slope, and root mean square error for visit-to-visit variability were derived using linear regression models and used as independent variables in Cox proportional hazards models for both all-cause mortality and mortality attributable to coronary heart disease or stroke. Rate of change was associated with mortality risk in a U-shaped relationship and that participants with little or no change in BP had the lowest mortality risk. BP variability was not an independent predictor of mortality risk. By separating change over time from visit-to-visit variability in studies with relatively long follow-up, we demonstrated in this elderly primary care patient population that BP changes over time, not variability, were associated with greater mortality risk. Future research is needed to confirm our findings in other populations.
© 2014 American Heart Association, Inc.

Entities:  

Keywords:  blood pressure; cardiovascular diseases; cohort studies; mortality

Mesh:

Year:  2014        PMID: 24799611      PMCID: PMC4057357          DOI: 10.1161/HYPERTENSIONAHA.114.03576

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


  24 in total

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Journal:  Am J Epidemiol       Date:  1997-05-01       Impact factor: 4.897

2.  Blood pressure variability and cardiovascular risk in treated hypertensive patients.

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Journal:  Am J Hypertens       Date:  2006-10       Impact factor: 2.689

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Journal:  Circulation       Date:  1994-08       Impact factor: 29.690

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Journal:  Circulation       Date:  1997-07-01       Impact factor: 29.690

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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

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Authors:  T E Stump; C M Callahan; H C Hendrie
Journal:  J Am Geriatr Soc       Date:  2001-07       Impact factor: 5.562

7.  Impact of reduced heart rate variability on risk for cardiac events. The Framingham Heart Study.

Authors:  H Tsuji; M G Larson; F J Venditti; E S Manders; J C Evans; C L Feldman; D Levy
Journal:  Circulation       Date:  1996-12-01       Impact factor: 29.690

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Authors:  C M Callahan; H C Hendrie; R S Dittus; D C Brater; S L Hui; W M Tierney
Journal:  J Am Geriatr Soc       Date:  1994-08       Impact factor: 5.562

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  24 in total

1.  Visit-to-visit Systolic Blood Pressure Variability and Stroke Risk: A Systematic Review and Meta-analysis.

Authors:  Han Wang; Min Li; Shu-Hua Xie; Ye-Tong Oyang; Min Yin; Bing Bao; Zhi-Ying Chen; Xiao-Ping Yin
Journal:  Curr Med Sci       Date:  2019-10-14

Review 2.  Visit-to-visit variability of blood pressure and cardiovascular disease and all-cause mortality: a systematic review and meta-analysis.

Authors:  Keith M Diaz; Rikki M Tanner; Louise Falzon; Emily B Levitan; Kristi Reynolds; Daichi Shimbo; Paul Muntner
Journal:  Hypertension       Date:  2014-07-28       Impact factor: 10.190

3.  Joint Models for Multiple Longitudinal Processes and Time-to-event Outcome.

Authors:  Lili Yang; Menggang Yu; Sujuan Gao
Journal:  J Stat Comput Simul       Date:  2016-05-06       Impact factor: 1.424

4.  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

Review 5.  Visit-to-Visit Variability of Systolic Blood Pressure and Cardiovascular Disease.

Authors:  Wael F Hussein; Tara I Chang
Journal:  Curr Hypertens Rep       Date:  2015-03       Impact factor: 5.369

6.  Prediction of coronary artery disease risk based on multiple longitudinal biomarkers.

Authors:  Lili Yang; Menggang Yu; Sujuan Gao
Journal:  Stat Med       Date:  2015-10-05       Impact factor: 2.373

7.  Can Diastolic Blood Pressure Decrease in Emergency Department Setting be Anticipated?

Authors:  Irit Ayalon-Dangur; Tzippy Shochat; Shachaf Shiber; Alon Grossman
Journal:  High Blood Press Cardiovasc Prev       Date:  2017-05-23

8.  Variability May Be the "Law of Life," but Blood Pressure Variability May Forebode a Shorter Life.

Authors:  Magdalene M Assimon; Jennifer E Flythe
Journal:  Am J Kidney Dis       Date:  2016-02-18       Impact factor: 8.860

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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

10.  Blood Pressure Trajectory, Gait Speed, and Outcomes: The Health, Aging, and Body Composition Study.

Authors:  Michelle C Odden; Chenkai Wu; Michael G Shlipak; Bruce M Psaty; Ronit Katz; William B Applegate; Tamara Harris; Anne B Newman; Carmen A Peralta
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2016-05-03       Impact factor: 6.053

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