Association between different methods of assessing blood pressure variability and incident cardiovascular disease, cardiovascular mortality and all-cause mortality: a systematic review.


Journal

Age and ageing
ISSN: 1468-2834
Titre abrégé: Age Ageing
Pays: England
ID NLM: 0375655

Informations de publication

Date de publication:
27 02 2020
Historique:
received: 15 01 2019
revised: 16 10 2019
accepted: 17 12 2019
pubmed: 28 1 2020
medline: 5 2 2021
entrez: 28 1 2020
Statut: ppublish

Résumé

Blood pressure variability (BPV) is a possible risk factor for adverse cardiovascular outcomes and mortality. There is uncertainty as to whether BPV is related to differences in populations studied, measurement methods or both. We systematically reviewed the evidence for different methods to assess blood pressure variability (BPV) and their association with future cardiovascular events, cardiovascular mortality and all-cause mortality. Literature databases were searched to June 2019. Observational studies were eligible if they measured short-term BPV, defined as variability in blood pressure measurements acquired either over a 24-hour period or several days. Data were extracted on method of BPV and reported association (or not) on future cardiovascular events, cardiovascular mortality and all-cause mortality. Methodological quality was assessed using the CASP observational study tool and data narratively synthesised. Sixty-one studies including 3,333,801 individuals were eligible. BPV has been assessed by various methods including ambulatory and home-based BP monitors assessing 24-hour, "day-by-day" and "week-to-week" variability. There was moderate quality evidence of an association between BPV and cardiovascular events (43 studies analysed) or all-cause mortality (26 studies analysed) irrespective of the measurement method in the short- to longer-term. There was moderate quality evidence reporting inconsistent findings on the potential association between cardiovascular mortality, irrespective of methods of BPV assessment (17 studies analysed). An association between BPV, cardiovascular mortality and cardiovascular events and/or all-cause mortality were reported by the majority of studies irrespective of method of measurement. Direct comparisons between studies and reporting of pooled effect sizes were not possible.

Sections du résumé

BACKGROUND
Blood pressure variability (BPV) is a possible risk factor for adverse cardiovascular outcomes and mortality. There is uncertainty as to whether BPV is related to differences in populations studied, measurement methods or both. We systematically reviewed the evidence for different methods to assess blood pressure variability (BPV) and their association with future cardiovascular events, cardiovascular mortality and all-cause mortality.
METHODS
Literature databases were searched to June 2019. Observational studies were eligible if they measured short-term BPV, defined as variability in blood pressure measurements acquired either over a 24-hour period or several days. Data were extracted on method of BPV and reported association (or not) on future cardiovascular events, cardiovascular mortality and all-cause mortality. Methodological quality was assessed using the CASP observational study tool and data narratively synthesised.
RESULTS
Sixty-one studies including 3,333,801 individuals were eligible. BPV has been assessed by various methods including ambulatory and home-based BP monitors assessing 24-hour, "day-by-day" and "week-to-week" variability. There was moderate quality evidence of an association between BPV and cardiovascular events (43 studies analysed) or all-cause mortality (26 studies analysed) irrespective of the measurement method in the short- to longer-term. There was moderate quality evidence reporting inconsistent findings on the potential association between cardiovascular mortality, irrespective of methods of BPV assessment (17 studies analysed).
CONCLUSION
An association between BPV, cardiovascular mortality and cardiovascular events and/or all-cause mortality were reported by the majority of studies irrespective of method of measurement. Direct comparisons between studies and reporting of pooled effect sizes were not possible.

Identifiants

pubmed: 31985773
pii: 5716218
doi: 10.1093/ageing/afz178
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

184-192

Commentaires et corrections

Type : CommentIn

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Toby O Smith (TO)

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Norwich Medical School, University of East Anglia, Norwich, UEA Norwich, UK.

Julia Ann Sillito (JA)

Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Science & Nutrition, University of Aberdeen, Aberdeen, UK.

Choon-Hian Goh (CH)

Ageing and Age-Associated Disorders Research Group, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.

Abdel-Rahman Abdel-Fattah (AR)

Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Science & Nutrition, University of Aberdeen, Aberdeen, UK.

Alice Einarsson (A)

Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Science & Nutrition, University of Aberdeen, Aberdeen, UK.
Academic Department of Medicine for the Elderly, NHS Grampian, Aberdeen, UK.

Roy L Soiza (RL)

Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Science & Nutrition, University of Aberdeen, Aberdeen, UK.
Academic Department of Medicine for the Elderly, NHS Grampian, Aberdeen, UK.

Mamas A Mamas (MA)

Keele Cardiovascular Research Group, Institutes of Science and Technology in Medicine and Primary Care and Health Sciences, Keele, UK.
Farr Institute, University of Manchester, Manchester, UK.

Maw Pin Tan (MP)

Ageing and Age-Associated Disorders Research Group, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.

John F Potter (JF)

Norwich Medical School, University of East Anglia, Norwich, UEA Norwich, UK.

Yoon K Loke (YK)

Norwich Medical School, University of East Anglia, Norwich, UEA Norwich, UK.

Phyo K Myint (PK)

Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, School of Medicine, Medical Science & Nutrition, University of Aberdeen, Aberdeen, UK.
Academic Department of Medicine for the Elderly, NHS Grampian, Aberdeen, UK.

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