Short-term and Mid-term Blood Pressure Variability and Long-term Mortality.

Bayesian hierarchical modelling Blood pressure blood pressure variability hypertension

Journal

The American journal of cardiology
ISSN: 1879-1913
Titre abrégé: Am J Cardiol
Pays: United States
ID NLM: 0207277

Informations de publication

Date de publication:
22 Oct 2024
Historique:
received: 23 06 2024
revised: 08 09 2024
accepted: 10 10 2024
medline: 25 10 2024
pubmed: 25 10 2024
entrez: 24 10 2024
Statut: aheadofprint

Résumé

Until recently, a focus has been made on exploring the influence of average blood pressure on risk of mortality. We go beyond average blood pressure to also investigate mortality risk with respect to variation in blood pressure over two timescales - short-term variation among multiple measures at one visit, and medium-term variation between the measures at two visits several months apart. We present an application of Bayesian hierarchical modeling to the problem of estimating the effect of blood pressure (BP) variability on all-cause and cardiovascular (CV) mortality. We use data from the Third National Health and Nutrition Examination Survey linked with up to 27 years of mortality follow-up. We find that medium-term systolic BP variability had a very significant predictive value for CV and all-cause mortality, around one-third as large as the well-established impact of mean systolic BP. Medium-term diastolic variability had an additional, though smaller, predictive effect. Short-term variability, on the other hand, had little or no measurable predictive value. The medium-term variability effect persisted when controlling for Framingham risk score.

Identifiants

pubmed: 39447722
pii: S0002-9149(24)00728-8
doi: 10.1016/j.amjcard.2024.10.005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: David Steinsaltz reports financial support was provided by Biotechnology and Biological Sciences Research Council. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

David Steinsaltz (D)

Department of Statistics, University of Oxford.

Hamish Patten (H)

Department of Statistics, University of Oxford; Information Management, International Federation of the Red Cross Red Crescent Societies (IFRC). Electronic address: hamish.patten@ifrc.org.

Dirk Bester (D)

Department of Statistics, University of Oxford.

David Rehkopf (D)

Department of Epidemiology and Population Health, Stanford University School of Medicine.

Classifications MeSH