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Association Between Use of Statins and Survival After Stroke: Real-World Data from The Australian Stroke Clinical Registry

Authors :
Lachlan L Dalli
Joosup Kim
Dominique A Cadilhac
Nadine E Andrew
Frank M Sanfilippo
Amanda G Thrift
Vijaya Sundararajan
Monique F Kilkenny
Source :
International Journal of Population Data Science, Vol 5, Iss 5 (2020)
Publication Year :
2020
Publisher :
Swansea University, 2020.

Abstract

Introduction Despite being recommended in clinical guidelines for secondary prevention of stroke, there are limited real-world data on outcomes associated with use of statins post-stroke. Objectives and Approach We aimed to investigate the association between statin use and cardiovascular mortality post-stroke. We conducted a retrospective cohort study using prospectively collected data from the Australian Stroke Clinical Registry (2010-2014), linked with national medication dispensing and mortality data. We observed adult patients with first-ever ischaemic stroke or transient ischaemic attack (TIA) for 1-year following hospital discharge, or until their date of death, whichever occurred first. Statin use, defined as having an available statin dispensing, was assessed daily and treated as a time-varying exposure to account for patients who discontinued or reinitiated statins during follow-up. Multivariable, competing-risks regression, with non-cardiovascular death as the competing risk, was used to investigate the association between statin use and 1-year cardiovascular mortality. Results Among 8363 patients discharged following first-ever ischaemic stroke or TIA (48% aged ≥75 years, 45% female, 20% TIA, median length-of-stay 5 days), 945 died within 1 year, with 763 deaths being cardiovascular-related. The proportion of statin users was 65% at 90 days, 64% at 180 days, and 62% at 1 year. Groups least likely to be statin users at 1-year were women (odds ratio [OR]: 0.75; 95% CI: 0.67-0.85), patients aged

Details

Language :
English
ISSN :
23994908
Volume :
5
Issue :
5
Database :
Directory of Open Access Journals
Journal :
International Journal of Population Data Science
Publication Type :
Academic Journal
Accession number :
edsdoj.0dbd75f7ae3a4904b44bcb6d9bd11668
Document Type :
article
Full Text :
https://doi.org/10.23889/ijpds.v5i5.1505