Sex Differences in Frequency, Severity, and Distribution of Cerebral Microbleeds

Simon Fandler-Höfler, Sebastian Eppinger, Gareth Ambler, Philip Nash, Markus Kneihsl, Keon Joo Lee, Jae Sung Lim, Masayuki Shiozawa, Masatoshi Koga, Linxin Li, Caroline Lovelock, Hugues Chabriat, Michael Hennerici, Yuen Kwun Wong, Henry Ka Fung Mak, Luis Prats-Sanchez, Alejandro Martínez-Domeño, Shigeru Inamura, Kazuhisa Yoshifuji, Ethem Murat ArsavaSolveig Horstmann, Jan Purrucker, Bonnie Yin Ka Lam, Adrian Wong, Young Dae Kim, Tae Jin Song, Robin Lemmens, Ender Uysal, Zeynep Tanriverdi, Natan M. Bornstein, Einor Ben Assayag, Hen Hallevi, Jeremy Molad, Masashi Nishihara, Jun Tanaka, Shelagh B. Coutts, Alexandros Polymeris, Benjamin Wagner, David J. Seiffge, Philippe Lyrer, L. Jaap Kappelle, Rustam Al Shahi Salman, Maria Valdes Hernandez, Hans R. Jäger, Gregory Y.H. Lip, Werner H. Mess, M. Eline Kooi, Sebastian Köhler, Robert van Oostenbrugge, Julie Staals, Thomas Gattringer*, Microbleeds International Collaborative Network

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Importance: Cerebral small vessel disease (SVD) is associated with various cerebrovascular outcomes, but data on sex differences in SVD are scarce. Objective: To investigate whether the frequency, severity, and distribution of cerebral microbleeds (CMB), other SVD markers on magnetic resonance imaging (MRI), and outcomes differ by sex. Design, Setting, and Participants: This cohort study used pooled individual patient data from the Microbleeds International Collaborative Network, including patients from 38 prospective cohort studies in 18 countries between 2000 and 2018, with clinical follow-up of at least 3 months (up to 5 years). Participants included patients with acute ischemic stroke or transient ischemic attack with available brain MRI. Data were analyzed from April to December 2023. Main Outcomes and Measures: Outcomes of interest were presence of CMB, lacunes, and severe white matter hyperintensities determined on MRI. Additionally, mortality, recurrent ischemic stroke, and intracranial hemorrhage during follow-up were assessed. Multivariable random-effects logistic regression models, Cox regression, and competing risk regression models were used to investigate sex differences in individual SVD markers, risk of recurrent cerebrovascular events, and death. Results: A total of 20 314 patients (mean [SD] age, 70.1 [12.7] years; 11 721 [57.7%] male) were included, of whom 5649 (27.8%) had CMB. CMB were more frequent in male patients, and this was consistent throughout different age groups, locations, and in multivariable models (female vs male adjusted odds ratio [aOR], 0.86; 95% CI, 0.80-0.92; P < .001). Female patients had fewer lacunes (aOR, 0.82; 95% CI, 0.74-0.90; P < .001) but a higher prevalence of severe white matter hyperintensities (aOR, 1.10; 95% CI, 1.01-1.20; P = .04) compared with male patients. A total of 2419 patients (11.9%) died during a median (IQR) follow-up of 1.4 (0.7-2.5) years. CMB presence was associated with a higher risk of mortality in female patients (hazard ratio, 1.15; 95% CI, 1.02-1.31), but not male patients (hazard ratio, 0.95; 95% CI, 0.84-1.07) (P for interaction = .01). A total of 1113 patients (5.5%) had recurrent ischemic stroke, and 189 patients (0.9%) had recurrent intracranial hemorrhage, with no sex differences. Conclusions and Relevance: This cohort study using pooled individual patient data found varying frequencies of individual SVD markers between female and male patients, indicating potential pathophysiological differences in manifestation and severity of SVD. Further research addressing differences in pathomechanisms and outcomes of SVD between female and male patients is required.

Original languageEnglish
Article numbere2439571
Number of pages13
JournalJama network open
Volume7
Issue number10
DOIs
Publication statusPublished - 1 Oct 2024

Fingerprint

Dive into the research topics of 'Sex Differences in Frequency, Severity, and Distribution of Cerebral Microbleeds'. Together they form a unique fingerprint.

Cite this