Evidence map›Paper›PMID 42321302›Full record

ArticleScientific reports2026

Identification and characterization of intracerebral hemorrhage events in elderly veterans with alzheimer's disease in the veterans affairs healthcare system.

Peter J Morin, Vanesa C Andreu Arasa, Ying Wang, Joel Reisman, Dan Berlowitz, Wen Hu, Raymond Zhang, Babak Haji, Ran Gao, Amir Abbas Tahami Monfared and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Peter J MorinDepartment of Neurology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Vanesa C Andreu ArasaDepartment of Radiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Ying WangResearch Service, VA Bedford Healthcare System, Bedford, MA, USA.
Joel ReismanDepartment of Biological Science, Kennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA, USA.
Dan BerlowitzDepartment of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts, Lowell, USA.
Wen HuResearch Service, VA Bedford Healthcare System, Bedford, MA, USA.
Raymond ZhangClinical Evidence Generation, Deep Human Biology Learning, Eisai Inc, Nutley, NJ, USA.
Babak HajiClinical Evidence Generation, Deep Human Biology Learning, Eisai Inc, Nutley, NJ, USA.
Ran GaoClinical Evidence Generation, Deep Human Biology Learning, Eisai Inc, Nutley, NJ, USA.
Amir Abbas Tahami MonfaredClinical Evidence Generation, Deep Human Biology Learning, Eisai Inc, Nutley, NJ, USA.
Quanwu ZhangClinical Evidence Generation, Deep Human Biology Learning, Eisai Inc, Nutley, NJ, USA.
Weiming XiaDepartment of Biological Science, Kennedy College of Sciences, University of Massachusetts Lowell, Lowell, MA, USA. weiming.xia@va.gov.ORCID https://orcid.org/0000-0002-7463-3295

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral amyloid angiopathy (CAA) and hypertensive (HTN) small vessel disease are causes of spontaneous intracerebral hemorrhage (ICH). We identified ICH rates in patients with all-cause mild cognitive impairment (MCI) or Alzheimer's disease (AD), and explored feasibility of using location-based approach to differentiate CAA- and HTN-related ICH using comorbidities in electronic health records (EHRs). This administrative study combined Veterans Affairs Healthcare System plus Centers for Medicare and Medicaid Services (VAHS/CMS) databases. Patients with MCI/AD aged ≥ 50 years (2016-2023) were 1:1 matched to non-MCI/AD controls. Inpatient primary discharge International Classification of Diseases-10th Edition (ICD-10) codes identified acute ICH; anatomical location within codes classified events as likely CAA- or HTN-related ICH. Incidence rates of ICH after MCI/AD were summarized. Cluster analysis of variables related to ICH was used to describe whether data-driven groupings matched clinician-postulated classifications. The MCI/AD cohort (n = 747,475) and controls were aged 77.7 ± 10.1 years (96% men, 75-76% White, 87-88% non-Hispanic). Demographic- and comorbidity-adjusted rates of ICH/1000 person-years were 0.84 (overall), 1.05 (MCI/AD), and 0.68 (non-MCI/AD). Adjusted events/1000 person-years were higher in MCI/AD vs. non-MCI/AD cohorts: CAA-related ICH, 0.19 vs. 0.12 (Incidence Rate Ratio (IRR) 1.63; P < 0.001); HTN-related ICH, 0.16 vs. 0.12 (IRR 1.35; P < 0.001); non-specific-ICH, 0.68 vs. 0.43 (IRR 1.59; P < 0.001). Hierarchical clustering analysis of our cohorts revealed an association of CAA-related ICH with older age, cardiovascular and rheumatic disorders, and an association of HTN-related ICH with cerebrovascular disease, hypertension and diabetes. In sum, the estimated incidence of ICH over the study period was 0.84/1000 person-years. CAA-related ICH incidence in MCI/AD was 63% greater than that in controls. Outcomes from cluster analysis are consistent with ICD-based CAA- vs. HTN-related ICH classifications. These findings support future exploration of using ICD coding-based ICH event identification in EHRs and claims databases for epidemiological studies.

Indexed as

Alzheimer DiseaseCerebral HemorrhageVeteransAgedAged, 80 and overCerebral Amyloid AngiopathyCognitive DysfunctionComorbidityFemaleHumansHypertensionIncidenceMaleMiddle AgedUnited StatesUnited States Department of Veterans AffairsAlzheimer’s diseaseCerebral amyloid angiopathyHypertensionIntracerebral hemorrhageMild cognitive impairment

Identifiers

PMID42321302
PMCPMC13550600

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.