Skip to main content

Main menu

  • Online first
    • Online first
  • Current issue
    • Current issue
  • Archive
    • Archive
  • Submit a paper
    • Online submission site
    • Instructions for authors
  • About the journal
    • About the journal
    • Editorial board
    • Instructions for authors
    • FAQs
    • Chinese Stroke Association
  • Help
    • Contact us
    • Feedback form
    • Reprints
    • Permissions
    • Advertising
  • BMJ Journals

User menu

  • Login

Search

  • Advanced search
  • BMJ Journals
  • Login
  • Facebook
  • Twitter
Stroke and Vascular Neurology

Advanced Search

  • Online first
    • Online first
  • Current issue
    • Current issue
  • Archive
    • Archive
  • Submit a paper
    • Online submission site
    • Instructions for authors
  • About the journal
    • About the journal
    • Editorial board
    • Instructions for authors
    • FAQs
    • Chinese Stroke Association
  • Help
    • Contact us
    • Feedback form
    • Reprints
    • Permissions
    • Advertising
Open Access

Improving detection of cerebral small vessel disease aetiology in patients with isolated lobar intracerebral haemorrhage

Alvin S Das, Elif Gokcal, Robert W Regenhardt, Mitchell J Horn, Kristin Schwab, Nader Daoud, Anand Viswanathan, W Taylor Kimberly, Joshua N Goldstein, Alessandro Biffi, Natalia Rost, Jonathan Rosand, Lee H Schwamm, Steven M Greenberg, M Edip Gurol
DOI: 10.1136/svn-2022-001653 Published 24 February 2023
Alvin S Das
1 Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Alvin S Das
Elif Gokcal
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert W Regenhardt
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
3 Department of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Robert W Regenhardt
Mitchell J Horn
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kristin Schwab
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nader Daoud
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anand Viswanathan
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
W Taylor Kimberly
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for W Taylor Kimberly
Joshua N Goldstein
4 Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alessandro Biffi
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Alessandro Biffi
Natalia Rost
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jonathan Rosand
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lee H Schwamm
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steven M Greenberg
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M Edip Gurol
2 Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1

    cSVD groups. CAA pattern was defined by any number of CAA features ((A) multiple subcortical spots pattern on FLAIR (yellow arrows), (B) lobar lacunes on FLAIR (inset, orange arrow) and (C) severe CSO EPVS as seen on T2 (inset, green arrows)), whereas HTN-cSVD pattern includes one or more of the features in the bottom panel, which are classically attributed to HTN-cSVD ((D) peribasal ganglia WMH on FLAIR (yellow arrows), (E) deep lacunes on FLAIR (inset, orange arrow) and (F) severe basal ganglia EPVS as seen on T2 (inset, green arrows)). The mixed NHIM group included at least one imaging finding from both the CAA pattern and HTN-cSVD pattern. No NHIM had none of these imaging characteristics.CAA, cerebral amyloid angiopathy; CSO, centrum semiovale; cSVD, cerebral small vessel disease; EPVS, enlarged perivascular spaces; FLAIR, fluid-attenuated inversion recovery; HTN-cSVD, hyperintensive cerebral small vessel disease; NHIM, non-haemorrhagic imaging markers; WMH, white matter hyperintensities.

  • Figure 2
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2

    Participant selection methodology. The above schematic depicts the total number of patients included in the study (n=1791). Of these, 1289 (72%) received an MRI scan of the brain. From this cohort, patients were diagnosed with either probable CAA, possible CAA (isolated lobar ICH) or HTN-cSVD. Lastly, the patients with isolated lobar ICH were further stratified into patients with HTN-cSVD pattern, CAA pattern, mixed NHIM or no NHIM. CAA, cerebral amyloid angiopathy; HTN-cSVD, hyperintensive cerebral amyloid angiopathy; ICH, intracerebral haemorrhage; NHIM, non-haemorrhagic imaging markers.

  • Figure 3
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3

    Frequency of NHIM in cSVD group. This figure depicts the frequency of haemorrhagic markers found in each subgroup of isolated-LICH. The majority of patients with the CAA pattern and the HTN-cSVD pattern have one marker (with the maximum being three markers). Patients with mixed NHIM can have up to four markers, and patients with no NHIM will have zero markers (by definition). CAA, cerebral amyloid angiopathy; cSVD, cerebral small vessel disease; HTN-cSVD, hyperintensive cerebral small vessel disease; LICH, lobar intracerebral haemorrhage; NHIM, non-haemorrhagic imaging markers.

  • Figure 4
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4

    NHIM prevalence in isolated lobar -ICH. This figure depicts the prevalence of each NHIM found in the subgroups of isolated lobar -ICH. Multiple subcortical spots patterns were the most common feature in the CAA pattern, whereas deep lacunes were the most common feature in both the HTN-cSVD pattern and the mixed NHIM pattern. CAA, cerebral amyloid angiopathy; EPVS, enlarged perivascular spaces; HTN-sCVD, hypertensive cerebral small vessel disease; ICH, intracerebral haemorrhage; NHIM, non-haemorrhagic imaging markers.

Tables

  • Figures
  • Table 1

    Baseline characteristics of patients with isolated-LICH (n=261)

    Age (years), mean±SD73 (±12)
    Female sex147 (56)
    Race
     White226 (87)
     Black16 (6)
     Asian10 (4)
     Hispanic8 (3)
     Other1 (0)
    Vascular risk factors
     Hypertension193 (74)
     Hyperlipidaemia131 (50)
     Diabetes40 (15)
     Coronary artery disease38 (15)
     Atrial fibrillation43 (16)
    Prior stroke43 (16)
    Substance use
     Smoking history66 (25)
     Alcohol abuse60 (23)
    Dementia23 (8)
    Antithrombotic therapies
     None136 (52)
     Antiplatelet94 (36)
     Anticoagulant31 (12)
    Glasgow Coma Scale score, median (IQR)15 (13, 15)
    Systolic blood pressure (mm Hg), mean±SD162 (±29)
    Diastolic blood pressure (mm Hg), mean±SD85 (±16)
    Laboratory values, mean±SD
     White blood cell count (×103/µL), mean±SD9.8 (±4.3)
     Haemoglobin (g/dL), mean±SD13.6 (±1.8)
     Platelets (×103/µL), mean±SD232 (±67)
     SCr (mg/dL), mean±SD0.97 (±0.44)
     International normalised ratio, mean±SD1.3 (±0.8)
    LVH59 (23)
    CT findings
     Presence of perihaematoma oedema236 (90)
     Presence of subarachnoid haemorrhage84 (32)
     Presence of intraventricular extension86 (33)
    Haemosiderin-sensitive MRI sequence
     GRE182 (70)
     SWI/SWAN73 (28)
     Other6 (2)
    Treatments
     Extraventricular drain placement28 (11)
     Surgical evacuation30 (12)
    Outcomes
     Length of stay, median (IQR)7 (4, 12)
     Poor outcome120 (46)
     In-hospital mortality93 (36)
    • This table shows the baseline characteristics of patients with isolated-LICH. Data are counts (n) and percentages (%), means and SD, or medians and IQRs. Poor outcome was considered to be a discharge modified Rankin Scale score >2.

    • GRE, gradient echo sequences; LICH, lobar intracerebral haemorrhage; LVH, left ventricular hypertrophy; SCr, serum creatinine; SWAN, susceptibility-weighted angiography; SWI, susceptibility weighted imaging.

  • Table 2

    Comparison of risk factors among single LICH groups

    CAA pattern (n=93)HTN-cSVD pattern (n=53)Mixed NHIM (n=19)No NHIM (n=96)
    Age (years), mean±SD72.5±10.678.7±10.3*80.4±8.9†68.1±13.7‡
    Female sex49 (53)31 (59)14 (74)53 (55)
    Hypertension71 (76)40 (76)17 (90)65 (68)
    Hyperlipiaemia47 (51)30 (57)7 (37)47 (49)
    Diabetes13 (14)9 (17)3 (16)15 (16)
    Coronary disease12 (13)11 (21)2 (11)13 (14)
    Atrial fibrillation18 (19)11 (21)4 (21)10 (10)
    SCr (mg/dL), mean±SD0.96±0.251.00±0.320.99±0.330.97±0.63
    LVH17 (20)§25 (50)¶7 (39)**10 (12)††
    • The table above shows the patient demographics, frequency of vascular risk factors, and markers of HTN-cSVD (SCr and LVH) among the various subgroups of single LICH. Data are counts (n) and percentages (%) unless specified otherwise. Of note, p<0.05 when * is compared with ‡, † is compared with ‡, § is compared with ¶, ¶ is compared with ** and ** is compared with ††.

    • CAA, cerebral amyloid angiopathy; HTN-cSVD, hypertensive cerebral small vessel disease; LICH, lobar intracerebral haemorrhage; LVH, left ventricular hypertrophy; NHIM, non-haemorrhagic imaging markers; SCr, serum creatinine; SCr, serum creatinine.

  • Table 3

    Associations with LVH

    UnadjustedAdjusted
    OR (95% CI) P value OR (95% CI) P value
    Age1.03 (1.00 to 1.05)0.0381.01 (0.98 to 1.04)0.724
    Sex1.07 (0.59 to 1.93)0.8280.98 (0.48 to 1.99)0.957
    Hypertension0.81 (0.39 to 1.66)0.5610.93 (0.40 to 2.19)0.872
    Hyperlipidaemia0.87 (0.49 to 1.58)0.6540.69 (0.33 to 1.44)0.324
    Diabetes0.99 (0.44 to 2.24)0.9750.93 (0.36 to 2.42)0.881
    Coronary artery disease1.50 (0.70 to 3.21)0.2931.17 (0.45 to 3.03)0.752
    Atrial fibrillation2.10 (1.02 to 4.33)0.0441.72 (0.74 to 4.02)0.210
    Creatinine2.22 (1.04 to 4.76)0.0402.20 (1.04 to 4.68)0.040
    CAA pattern1.55 (0.82 to 2.94)0.1791.90 (0.78 to 4.66)0.161
    HTN-cSVD pattern4.53 (2.32 to 8.83)<0.0017.38 (2.84 to 19.20)<0.001
    Mixed NHIM2.06 (0.76 to 5.57)0.1574.45 (1.25 to 15.90)0.019
    • This table shows univariate and multivariable associations between predictor variables and LVH.

    • CAA, cerebral amyloid angiopathy; HTN-cSVD, hypertensive cerebral small vessel disease; LVH, left ventricular hypertrophy; NHIM, non-haemorrhagic imaging markers.

PreviousNext
Back to top
Vol 8 Issue 1 Table of Contents
Stroke and Vascular Neurology: 8 (1)
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Front Matter (PDF)
Email

Thank you for your interest in spreading the word on Stroke and Vascular Neurology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Improving detection of cerebral small vessel disease aetiology in patients with isolated lobar intracerebral haemorrhage
(Your Name) has sent you a message from Stroke and Vascular Neurology
(Your Name) thought you would like to see the Stroke and Vascular Neurology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
Alerts
Sign In to Email Alerts with your Email Address
Citation Tools
Improving detection of cerebral small vessel disease aetiology in patients with isolated lobar intracerebral haemorrhage
Alvin S Das, Elif Gokcal, Robert W Regenhardt, Mitchell J Horn, Kristin Schwab, Nader Daoud, Anand Viswanathan, W Taylor Kimberly, Joshua N Goldstein, Alessandro Biffi, Natalia Rost, Jonathan Rosand, Lee H Schwamm, Steven M Greenberg, M Edip Gurol
Stroke and Vascular Neurology Feb 2023, 8 (1) 26-33; DOI: 10.1136/svn-2022-001653

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Cite This
  • APA
  • Chicago
  • Endnote
  • MLA
Loading
Improving detection of cerebral small vessel disease aetiology in patients with isolated lobar intracerebral haemorrhage
Alvin S Das, Elif Gokcal, Robert W Regenhardt, Mitchell J Horn, Kristin Schwab, Nader Daoud, Anand Viswanathan, W Taylor Kimberly, Joshua N Goldstein, Alessandro Biffi, Natalia Rost, Jonathan Rosand, Lee H Schwamm, Steven M Greenberg, M Edip Gurol
Stroke and Vascular Neurology Feb 2023, 8 (1) 26-33; DOI: 10.1136/svn-2022-001653
Download PDF

Share
Improving detection of cerebral small vessel disease aetiology in patients with isolated lobar intracerebral haemorrhage
Alvin S Das, Elif Gokcal, Robert W Regenhardt, Mitchell J Horn, Kristin Schwab, Nader Daoud, Anand Viswanathan, W Taylor Kimberly, Joshua N Goldstein, Alessandro Biffi, Natalia Rost, Jonathan Rosand, Lee H Schwamm, Steven M Greenberg, M Edip Gurol
Stroke and Vascular Neurology Feb 2023, 8 (1) 26-33; DOI: 10.1136/svn-2022-001653
Reddit logo Twitter logo Facebook logo Mendeley logo
Respond to this article
  • Tweet Widget
  • Facebook Like
  • Google Plus One
  • Article
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Conclusion
    • Data availability statement
    • Ethics statements
    • Footnotes
    • References
  • Figures & Data
  • eLetters
  • Info & Metrics
  • PDF

Related Articles

Cited By...

More in this TOC Section

  • Learning curve and embolisation strategy in single-stage surgery combined embolisation and microsurgery for brain arteriovenous malformations: results from a nationwide multicentre prospective registry study
  • Stepwise improvement in intracerebral haematoma expansion prediction with advanced imaging: a comprehensive comparison of existing scores
  • Thrombus iodine-based perviousness is associated with recanalisation and functional outcomes in endovascular thrombectomy
Show more Original research

Similar Articles

 
 

CONTENT

  • Latest content
  • Current issue
  • Archive
  • eLetters
  • Sign up for email alerts
  • RSS

JOURNAL

  • About the journal
  • Editorial board
  • Recommend to librarian
  • Chinese Stroke Association

AUTHORS

  • Instructions for authors
  • Submit a paper
  • Track your article
  • Open Access at BMJ

HELP

  • Contact us
  • Reprints
  • Permissions
  • Advertising
  • Feedback form

© 2025 Chinese Stroke Association