Cardiovascular preventive pharmacotherapy stratified by predicted cardiovascular risk: a national data linkage study.


Journal

European journal of preventive cardiology
ISSN: 2047-4881
Titre abrégé: Eur J Prev Cardiol
Pays: England
ID NLM: 101564430

Informations de publication

Date de publication:
03 02 2022
Historique:
received: 10 08 2020
revised: 12 12 2020
accepted: 09 01 2021
pubmed: 14 2 2021
medline: 5 4 2022
entrez: 13 2 2021
Statut: ppublish

Résumé

Cardiovascular disease (CVD) risk management guided by predicted CVD risk is widely recommended internationally. This is the first study to examine CVD preventive pharmacotherapy in a whole-of-country primary prevention population, stratified by CVD risk. Anonymized individual-level linkage of New Zealand administrative health and non-health data identified 2 250 201 individuals without atherosclerotic CVD, alive, and aged 30-74 years on 31 March 2013. We identified individuals with ≥1 dispensing by community pharmacies of blood pressure lowering (BPL) and/or lipid-lowering (LL) medications at baseline (1 October 2012-31 March 2013) and in 6-month periods between 1 April 2013 and 31 March 2016. Individuals were stratified using 5-year CVD risk equations specifically developed for application in administrative datasets. One-quarter of individuals had ≥5% 5-year risk (the current New Zealand guideline threshold for discussing preventive medications) and 5% met the ≥15% risk threshold for recommended dual therapy. By study end, dual therapy was dispensed to 2%, 18%, 34%, and 49% of individuals with <5%, 5-9%, 10-14%, and ≥15% 5-year risk, respectively. Among those dispensed baseline dual therapy, 83-89% across risk strata were still treated after 3 years. Dual therapy initiation during follow-up occurred among only 13% of high-risk individuals untreated at baseline. People without diabetes and those aged ≥65 years were more likely to remain untreated. Cardiovascular disease primary preventive pharmacotherapy was strongly associated with predicted CVD risk and, once commenced, was generally continued. However, only half of high-risk individuals received recommended dual therapy and treatment initiation was modest. Individually linked administrative datasets can identify clinically relevant quality improvement opportunities for entire populations.

Identifiants

pubmed: 33580793
pii: 6104033
doi: 10.1093/eurjpc/zwaa168
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1905-1913

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2021. For permissions, please email: journals.permissions@oup.com.

Auteurs

Suneela Mehta (S)

Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Jinfeng Zhao (J)

Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Katrina Poppe (K)

Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Andrew J Kerr (AJ)

Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Cardiology Services, Middlemore Hospital, Auckland, New Zealand.

Sue Wells (S)

Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Dan J Exeter (DJ)

Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Vanessa Selak (V)

Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

Corina Grey (C)

Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.
Performance Improvement, Strategy, Auckland District Health Board, Auckland, New Zealand.

Rod Jackson (R)

Section of Epidemiology and Biostatistics, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand.

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