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The impact of temporal trends in stroke event rates and 30-day case fatality on trends in stroke mortality: an international comparative study

dc.contributor.authorNedkoff, Leeen
dc.contributor.authorWright, F. Lucyen
dc.contributor.authorNghiem, Nhungen
dc.contributor.authorSetayeshgar, Solmazen
dc.contributor.authorBuajitti, Emmalinen
dc.contributor.authorKwok, Aden C.H.en
dc.contributor.authorZemedikun, Dawiten
dc.contributor.authorCamacho, Ximenaen
dc.contributor.authorStiles, Samanthaen
dc.contributor.authorGoldacre, Raphaelen
dc.contributor.authorSmolina, Kateen
dc.contributor.authorRosella, Laura C.en
dc.contributor.authorBlakely, Tonyen
dc.contributor.authorClarke, Philipen
dc.date.accessioned2026-10-19T04:51:01Z
dc.date.available2026-10-19T04:51:01Z
dc.date.issued2026en
dc.description.abstractBackground: Stroke mortality rates have declined in recent decades; however, data on contemporary drivers of this trend are limited. This study compared the contribution of trends in stroke event rates and 30-day case fatality to declines in stroke mortality from 2002 to 2018. Methods: Linked hospitalization and mortality data were obtained from Western Australia (WA), England, New Zealand, British Columbia (BC), and Ontario. Age-standardized and age-specific stroke mortality and event rates and 30-day case fatality were calculated and age-adjusted trends estimated from Poisson and binomial regression models. The relative contribution of trends in stroke events and 30-day case fatality to trends in stroke mortality were calculated. Results: There were 2 248 242 stroke events identified. Age-adjusted reductions in event rates ranged from −0.96%/year [95% confidence interval (CI) − 1.22, 0.70%] in men in WA to −2.51%/year (95% CI −2.61, −2.40%) in women in Ontario. Age-standardized 30-day case fatality was highest in England in 2002 (men 43.7%, women 45.5%), but declined at a greater rate than in other jurisdictions. Declines in stroke mortality ranged from −3.3%/year to −5.5%/year. Reductions in 30-day case fatality were the major contributor to declines in stroke mortality [range: men, 63.5% (Ontario)–80.9% (England); women, 55.3% (BC)–73.1% (England)]. In people aged <65 years, stroke mortality declines were almost completely driven by reductions in 30-day case fatality with increasing or attenuated event rates among those aged 35–64 years. Conclusion: Improvements in 30-day case fatality had a greater impact on stroke mortality than trends in event rates, suggesting that further gains could be achieved with targeted prevention. Adverse trends in event rates in people aged <65 years could signal future increases in stroke mortality.en
dc.description.sponsorshipWA: The authors acknowledge the provision of data from the Western Australian Department of Health Data Services and thank the staff at Data Linkage Services, the Department of Health WA, and data custodians of the Hospital Morbidity Data Collection and Death Register; the Australian Co-ordinating Registry, the Registries of Births, Deaths and Marriages, the Coroners, the National Coronial Information System, and the Victorian Department of Justice and Community Safety, for enabling the use of cause-of-death data. England: Data were provided by NHS England and held securely in coded form within the Nuffield Department of Population Health, University of Oxford. The research was supported by the National Institute for Health Research Oxford Biomedical Research Centre (NIHR-BRC-1215–20008), the Office for Health Improvement and Disparities, and Health Data Research UK. The Big Data Institute has received funding from the Li Ka Shing Foundation and Robertson Foundations, the Medical Research Council, and British Heart Foundation, and is supported by the NIHR Oxford Biomedical Research Centre. We thank Nick Hall for his assistance in curating the English datasets used in this study. New Zealand: Data are supplied by Stats NZ. The results in this report are not official statistics. They have been created for research purposes from the Integrated Data Infrastructure (IDI), managed by Stats NZ. Access to the anonymized data used in this study was provided by Stats NZ under the security and confidentiality provision of the Statistics Act 1975. BC: The following datasets were used in this study: Discharge Abstract Database (DAD), Vital Statistics (VS), and consolidation files. Further information regarding these datasets can be found by visiting the PopData project webpage at my.popdata.bc.ca/project_listings/16–218. All inferences, opinions, and conclusions drawn in this publication are those of the author(s) and do not reflect the opinions or policies of the Data Steward(s). Ontario: This study was supported by ICES, which is funded by an annual grant from the Ontario Ministry of Health and the Ministry of Long-Term Care. This study also received funding from a Canadian Institutes for Health Research operating grant (FRN-142498). The analyses, conclusions, opinions, and statements expressed herein are solely those of the authors and do not reflect those of the funding or data sources; no endorsement is intended or should be inferred. L.N. was supported by National Heart Foundation (Australia) Future Leader Fellowships (#105038, #108106); N.N. was supported by the Health Research Council of New Zealand (grants 10/248, 16/443); X.C. was supported by a National Health and Medical Research Council Postgraduate Scholarship (#2005259); L.R. is supported by a Canada Research Chair in Population Health Analytics. This study was conducted under the BC Centre for Disease Control’s mandate to monitor population health and its determinants. The funders of the study had no role in the study design, data collection, data analysis, data interpretation, or writing of the manuscript. WA: The authors acknowledge the provision of data from the Western Australian Department of Health Data Services and thank the staff at Data Linkage Services, the Department of Health WA, and data custodians of the Hospital Morbidity Data Collection and Death Register; the Australian Co-ordinating Registry, the Registries of Births, Deaths and Marriages, the Coroners, the National Coronial Information System, and the Victorian Department of Justice and Community Safety, for enabling the use of cause-of-death data. England: Data were provided by NHS England and held securely in coded form within the Nuffield Department of Population Health, University of Oxford. The research was supported by the National Institute for Health Research Oxford Biomedical Research Centre (NIHR-BRC-1215–20008), the Office for Health Improvement and Disparities, and Health Data Research UK. The Big Data Institute has received funding from the Li Ka Shing Foundation and Robertson Foundations, the Medical Research Council, and British Heart Foundation, and is supported by the NIHR Oxford Biomedical Research Centre. We thank Nick Hall for his assistance in curating the English datasets used in this study. New Zealand: Data are supplied by Stats NZ. The results in this report are not official statistics. They have been created for research purposes from the Integrated Data Infrastructure (IDI), managed by Stats NZ. Access to the anonymized data used in this study was provided by Stats NZ under the security and confidentiality provision of the Statistics Act 1975. BC: The following datasets were used in this study: Discharge Abstract Database (DAD), Vital Statistics (VS), and consolidation files. Further information regarding these datasets can be found by visiting the PopData project webpage at my.popdata.bc.ca/project_listings/16–218. All inferences, opinions, and conclusions drawn in this publication are those of the author(s) and do not reflect the opinions or policies of the Data Steward(s). Ontario: This study was supported by ICES, which is funded by an annual grant from the Ontario Ministry of Health and the Ministry of Long-Term Care. This study also received funding from a Canadian Institutes for Health Research operating grant (FRN-142498). The analyses, conclusions, opinions, and statements expressed herein are solely those of the authors and do not reflect those of the funding or data sources; no endorsement is intended or should be inferred. L.N. was supported by National Heart Foundation (Australia) Future Leader Fellowships (#105038, #108106); N.N. was supported by the Health Research Council of New Zealand (grants 10/248, 16/443); X.C. was supported by a National Health and Medical Research Council Postgraduate Scholarship (#2005259); L.R. is supported by a Canada Research Chair in Population Health Analytics. This study was conducted under the BC Centre for Disease Control’s mandate to monitor population health and its determinants. The funders of the study had no role in the study design, data collection, data analysis, data interpretation, or writing of the manuscript.en
dc.description.statusPeer-revieweden
dc.format.extent12en
dc.identifier.issn0300-5771en
dc.identifier.otherORCID:/0000-0003-0078-4549/work/230439180en
dc.identifier.otherPubMed:42758057en
dc.identifier.otherWOS:001879181400001en
dc.identifier.scopus105050581650en
dc.identifier.urihttps://hdl.handle.net/1885/733816333
dc.language.isoenen
dc.rightsPublisher Copyright: © The Author(s) 2026. Published by Oxford University Press on behalf of the International Epidemiological Association. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.sourceInternational Journal of Epidemiologyen
dc.subjectcase fatalityen
dc.subjectevent ratesen
dc.subjectmortalityen
dc.subjectrelative contributionsen
dc.subjectstrokeen
dc.subjecttrendsen
dc.titleThe impact of temporal trends in stroke event rates and 30-day case fatality on trends in stroke mortality: an international comparative studyen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.bibliographicCitation.lastpage12en
local.bibliographicCitation.startpage1en
local.contributor.affiliationNedkoff, Lee; University of Western Australiaen
local.contributor.affiliationWright, F. Lucy; University of Oxforden
local.contributor.affiliationNghiem, Nhung; John Curtin School of Medical Research, ANU College of Science and Medicine, The Australian National Universityen
local.contributor.affiliationSetayeshgar, Solmaz; BC Centre for Disease Controlen
local.contributor.affiliationBuajitti, Emmalin; University of Torontoen
local.contributor.affiliationKwok, Aden C.H.; University of Oxforden
local.contributor.affiliationZemedikun, Dawit; University of Western Australiaen
local.contributor.affiliationCamacho, Ximena; University of New South Walesen
local.contributor.affiliationStiles, Samantha; University of Western Australiaen
local.contributor.affiliationGoldacre, Raphael; University of Oxforden
local.contributor.affiliationSmolina, Kate; BC Centre for Disease Controlen
local.contributor.affiliationRosella, Laura C.; University of Torontoen
local.contributor.affiliationBlakely, Tony; University of Melbourneen
local.contributor.affiliationClarke, Philip; University of Oxforden
local.identifier.citationvolume55en
local.identifier.doi10.1093/ije/dyag157en
local.identifier.pureae541c6e-4da2-4c27-bedb-5d0c3b88ed47en
local.identifier.urlhttps://www.scopus.com/pages/publications/105050581650en
local.type.statusPublisheden

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