Volume 28, Issue 2 pp. 469-478
Original Article

Sex differences in quality of life after stroke were explained by patient factors, not clinical care: evidence from the Australian Stroke Clinical Registry

H. T. Phan

H. T. Phan

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia

Department of Public Health Management, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, Vietnam

Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia

Search for more papers by this author
S. L. Gall

S. L. Gall

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia

Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia

Search for more papers by this author
C. L. Blizzard

C. L. Blizzard

Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia

Search for more papers by this author
N. A. Lannin

N. A. Lannin

Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia

Alfred Health, Melbourne, Victoria, Australia

Search for more papers by this author
A. G. Thrift

A. G. Thrift

Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia

Search for more papers by this author
C. S. Anderson

C. S. Anderson

Faculty of Medicine, The George Institute for Global Health, The University of New South Wales, Sydney, New South Wales, Australia

Search for more papers by this author
J. Kim

J. Kim

Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia

Search for more papers by this author
R. S. Grimley

R. S. Grimley

Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia

School of Medicine, Griffith University, Birtinya, Queensland, Australia

Search for more papers by this author
H. C. Castley

H. C. Castley

Neurology Department, Royal Hobart Hospital, Hobart, Tasmania, Australia

Search for more papers by this author
M. F. Kilkenny

M. F. Kilkenny

Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia

Stroke Theme, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia

Search for more papers by this author
D. A. Cadilhac

Corresponding Author

D. A. Cadilhac

Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia

Stroke Theme, The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia

Correspondence: D. A. Cadilhac, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Level 3 Hudson Institute Building, 27-31 Wright Street, Clayton Victoria 3168, Australia (tel.: +61 3 8572 2657; fax: +61 3 9902 4245; e-mail: [email protected]).

Search for more papers by this author
on behalf of the AuSCR Consortium, Stroke123 Investigators

the AuSCR Consortium, Stroke123 Investigators

Search for more papers by this author
First published: 13 September 2020
Citations: 17

See editorial by E. C. Sandset and M. T. Ferretti on page 365

Abstract

Background and purpose

Women may receive stroke care less often than men. We examined the contribution of clinical care on sex differences and health-related quality of life (HRQoL) after stroke.

Methods

We included first-ever strokes registered in the Australian Stroke Clinical Registry (2010–2014) with HRQoL assessed between 90 and 180 days after onset (EQ-5D-3L instrument) that were linked to hospital administrative data (up to 2013). Study factors included sociodemographics, comorbidities, walking ability on admission (stroke severity proxy) and clinical care (e.g. stroke unit care). Responses to the EQ-5D-3L were transformed into a total utility value (−0.516 ‘worse than death’ to 1 ‘best’ health). Quantile regression models, adjusted for confounding factors, were used to determine median differences (MD) in utility scores by sex.

Results

Approximately 60% (6852/11 418) of stroke survivors had an EQ-5D-3L assessment (median 139 days; 44% female). Compared with men, women were older (median age 77.1 years vs. men 71.2 years) and fewer could walk on admission (37.9% vs. men 46.1%, P < 0.001). Women had lower utility values than men, and the difference was explained by age and stroke severity, but not clinical care [MDadjusted = −0.039, 95% confidence interval: −0.056, −0.021]. Poorer HRQoL was observed in younger men (aged <65 years), particularly those with more comorbidities, and in older women (aged ≥75 years).

Conclusions

Stroke severity and comorbidities contribute to the poorer HRQoL in young men and older women. Further studies are needed to understand age–sex interaction to better inform treatments for different subgroups and ensure evidence-based treatments to reduce the severity of stroke are prioritized.

Disclosure of conflicts of interest

D.A.C., N.A.L., R.S.G., M.F.K. and C.S.A. are members of the management committee for AuSCR. D.A.C. reports educational grants from Boehringer Ingelheim, Shire, Ipsen, Amgen and Medtronic paid to her institution. C.S.A. has research grants from Takeda paid to his institution and speaker fees from Takeda unrelated to this work. A.G.T. declares being on the AuSCR Steering Committee and board of the Stroke Foundation. The other authors do not have any disclosures. No competing financial interests exist.

Data availability statement

This study is based on the secondary analysis of data as part of a data linkage study. Qualified investigators can request access to patient-level data, analytic methods and study materials after ethics clearance and approval by all authors and the data custodians of the primary sources of the datasets.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.