Age and sex specific thresholds for risk stratification of cardiovascular disease and clinical decision making: prospective open cohort study.

Cardiovascular disease Risk prediction Risk stratification Statin treatment

Journal

BMJ medicine
ISSN: 2754-0413
Titre abrégé: BMJ Med
Pays: England
ID NLM: 9918487584306676

Informations de publication

Date de publication:
2024
Historique:
received: 20 05 2023
accepted: 12 07 2024
medline: 23 8 2024
pubmed: 23 8 2024
entrez: 23 8 2024
Statut: epublish

Résumé

To quantify the potential advantages of using 10 year risk prediction models for cardiovascular disease, in combination with risk thresholds specific to both age and sex, to identify individuals at high risk of cardiovascular disease for allocation of statin treatment. Prospective open cohort study. Primary care data from the UK Clinical Practice Research Datalink GOLD, linked with hospital admissions from Hospital Episode Statistics and national mortality records from the Office for National Statistics in England, 1 January 2006 to 31 May 2019. 1 046 736 individuals (aged 40-85 years) with no cardiovascular disease, diabetes, or a history of statin treatment at baseline using data from electronic health records. 10 year risk of cardiovascular disease, calculated with version 2 of the QRISK cardiovascular disease risk algorithm (QRISK2), with two main strategies to identify individuals at high risk: in strategy A, estimated risk was a fixed cut-off value of ≥10% (ie, as per the UK National Institute for Health and Care Excellence guidelines); in strategy B, estimated risk was ≥10% or ≥90th centile of age and sex specific risk distributions. Compared with strategy A, strategy B stratified 20 241 (149.8%) more women aged ≤53 years and 9832 (150.2%) more men aged ≤47 years as having a high risk of cardiovascular disease; for all other ages the strategies were the same. Assuming that treatment with statins would be initiated in those identified as high risk, differences in the estimated gain in cardiovascular disease-free life years from statin treatment for strategy B versus strategy A were 0.14 and 0.16 years for women and men aged 40 years, respectively; among individuals aged 40-49 years, the numbers needed to treat to prevent one cardiovascular disease event for strategy B versus strategy A were 39 versus 21 in women and 19 versus 15 in men, respectively. This study quantified the potential gains in cardiovascular disease-free life years when implementing prevention strategies based on age and sex specific risk thresholds instead of a fixed risk threshold for allocation of statin treatment. Such gains should be weighed against the costs of treating more younger people with statins for longer.

Identifiants

pubmed: 39175920
doi: 10.1136/bmjmed-2023-000633
pii: bmjmed-2023-000633
pmc: PMC11340247
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e000633

Informations de copyright

Copyright © Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from British Heart Foundation (BHF), BHF Cambridge Centre for Research Excellence, National Institute for Health and Care Research (NIHR) Cambridge Biomedical Research Centre, Chinese Scholarship Council, NIHR Blood and Transplant Research Unit (BTRU) in Donor Health and Genomics, NIHR BTRU in Donor Health and Behaviour, and Innovative Medicines Initiative-2 Joint Undertaking for the submitted work; MA is an employee of AstraZeneca; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Auteurs

Zhe Xu (Z)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

Juliet Usher-Smith (J)

Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

Lisa Pennells (L)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

Ryan Chung (R)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

Matthew Arnold (M)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

Lois Kim (L)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK.

Stephen Kaptoge (S)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK.

Matthew Sperrin (M)

Division of Informatics, Imaging and Data Science, Faculty of Biology Medicine and Health, The University of Manchester, Manchester, UK.

Emanuele Di Angelantonio (E)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK.
British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK.
Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK.
Health Data Science Research Centre, Human Technopole, Milan, Italy.

Angela M Wood (AM)

British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK.
British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK.
Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK.
Cambridge Centre of Artificial Intelligence in Medicine, Cambridge, UK.

Classifications MeSH