Evidence map›Paper›PMID 39229896›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

White matter hyperintensity on MRI and plasma Aβ42/40 ratio additively increase the risk of cognitive impairment in hypertensive adults.

Adam de Havenon, Rebecca F Gottesman, Jeff D Willamson, Natalia Rost, Richa Sharma, Vivian Li, Lauren Littig, Eric Stulberg, Guido J Falcone, Shyam Prabhakaran and 4 more

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. The path to treating multiple-etiology dementia: Combining vascular risk control and disease-modifying neurodegenerative therapies.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Adam de HavenonDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0001-8178-8597
Rebecca F GottesmanNational Institute of Neurological Disorders and Stroke, Bethesda, Maryland, USA.
Jeff D WillamsonDepartment of Internal Medicine, Wake Forrest University School of Medicine, Winston-Salem, North Carolina, USA.
Natalia RostDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Richa SharmaDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.
Vivian LiDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.ORCID 0009-0004-3606-8426
Lauren LittigDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.
Eric StulbergDepartment of Neurology, University of Utah, Salt Lake City, Utah, USA.
Guido J FalconeDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.
Shyam PrabhakaranDepartment of Neurology, University of Chicago, Chicago, Illinois, USA.
Andrea L C SchneiderDepartment of Neurology, Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Kevin N ShethDepartment of Neurology, Center for Brain and Mind Health, Yale University School of Medicine, New Haven, Connecticut, USA.
Nicholas M PajewskiDepartment of Biostatistics and Data Science, Wake Forrest University School of Medicine, Winston-Salem, North Carolina, USA.
Adam M BrickmanTaub Institute for Research on Alzheimer's Disease and the Aging Brain, and the Department of Neurology, Columbia University, New York, New York, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Research Education CoreP30AG066462 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Andrew Franklin Teich · 2020 to 2026
$30.1M
Anticoagulation in ICH Survivors for Prevention and Recovery (ASPIRE)U01NS106513 · NINDS · YALE UNIVERSITY · PI Hooman Kamel, Kevin Navin Sheth · 2019 to 2026
$20.6M
The SPRINT Alzheimer's, Seniors and Kidney Study (SPRINT ASK)R01AG055606 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI REBOUSSIN, DAVID M, WILLIAMSON, JEFF DOUGLAS · 2017 to 2023
$9.9M
Alzheimer Diagnosis in older Adults with Chronic Conditions ADACC NetworkU24AG082930 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Nicole R. Fowler, Thomas K Karikari · 2023 to 2026
$7.3M
The role of autophagy gene Atg16L1 in allogeneic hematopoietic stem cell transplantation - Resubmission - 1R01HL123340 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CADWELL, KEN HASHIGIWA, VAN DEN BRINK, MARCEL R M · 2015 to 2022
$5.2M
Social networks and risk of delayed arrival to the hospital during strokeR01MD016178 · NIMHD · BRIGHAM AND WOMEN'S HOSPITAL · PI Amar Dhand, Kevin Navin Sheth · 2022 to 2026
$3.7M
The Recovery in Stroke Using PAP (RISE UP) StudyR01NR018335 · NINR · YALE UNIVERSITY · PI REDEKER, NANCY S, SHETH, KEVIN NAVIN · 2019 to 2023
$3.4M
Southern New England Partnership In Stroke Research, Innovation and Treatment (SPIRIT)U24NS107215 · NINDS · YALE UNIVERSITY · PI MARK Jay ALBERTS, Karen L Furie · 2018 to 2026
$3.0M
Guiding next steps for SPRINT-MIND implementation: Identifying high-benefit subgroups and comparative effects of ARB- vs. ACEI-based regimensR01AG065805 · NIA · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2020 to 2023
$2.7M
Blood Pressure Variability and Ischemic Stroke Outcome (BP-VISO)R01NS130189 · NINDS · YALE UNIVERSITY · PI Adam H. de Havenon · 2023 to 2026
$2.0M
CAPTIVA-MRIUG3NS130228 · NINDS · YALE UNIVERSITY · PI AMIN-HANJANI, SEPIDEH, CHATTERJEE, ARINDAM R. · 2023 to 2023
$1.9M
American Heart Association K23NS123340Department of Defense HT9425-23-1-0981Department of Defense K23NS121634Department of Defense W81XWH-21-1-0590NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R38 HL167282NIA NIH HHS P30 AG066462NIA NIH HHS R01 AG055606NIA NIH HHS R01AG055606NIA NIH HHS R01 AG065805NIA NIH HHS R01AG065805NIA NIH HHS U24 AG082930NIA NIH HHS U24AG082930NIH/NINDS K23NS105924NIH/NINDS R01EB301114NIH/NINDS R01MD016178NIH/NINDS R01NR018335NIH/NINDS R01NS110721NIH/NINDS R01NS130189NIH/NINDS U01NS106513NIH/NINDS U24NS107136NIH/NINDS U24NS107215NIH/NINDS U24NS129500NIH/NINDS UG3NS130228NIMHD NIH HHS R01 MD016178NINDS NIH HHS K23 NS105924NINDS NIH HHS K23 NS121634NINDS NIH HHS K23 NS123340NINDS NIH HHS R01 NS110721NINDS NIH HHS R01 NS130189NINDS NIH HHS U01 NS106513NINDS NIH HHS U24 NS107136NINDS NIH HHS U24 NS107215NINDS NIH HHS U24 NS129500NINDS NIH HHS UG3 NS130228NINR NIH HHS R01 NR018335Utah Stimulating Access to Research in Residency 1R38HL167282-01
6 · The paper itself

Abstract

introductionDementia often involves comorbid Alzheimer's and vascular pathology, but their combined impact warrants additional study.

methodsWe analyzed the Systolic Blood Pressure Intervention Trial and categorized white matter hyperintensity (WMH) volume into highest versus lowest/mid tertile and the amyloid beta (Aβ)42/40 ratio into lowest versus mid/highest ratio tertile. Using these binary variables, we created four exposure categories: (1) combined low risk, (2) Aβ risk, (3) WMH risk, and (4) combined high risk.

resultsIn the cohort of 467 participants (mean age 69.7 ± 7.1, 41.8% female, 31.9% nonwhite or Hispanic) during 4.8 years of follow-up and across the four exposure categories the rates of cognitive impairment were 5.3%, 7.8%, 11.8%, and 22.6%. Compared to the combined low-risk category, the adjusted hazard ratio for cognitive impairment was 4.12 (95% confidence interval, 1.71 to 9.94) in the combined high-risk category. DISCUSSION: This study emphasizes the potential impact of therapeutic approaches to dementia prevention that target both vascular and amyloid pathology. HIGHLIGHTS: White matter hyperintensity (WMH) and plasma amyloid (Aβ42/40) are additive risk factors for the development of cognitive impairment in the SPRINT MIND trial. Individuals in the high-risk categories of both WMH and Aβ42/40 had a near fivefold increase in risk of cognitive impairment during 4.8 years of follow-up on average. These findings suggest that treatment strategies targeting both vascular health and amyloid burden warrant further research.

Indexed as

Amyloid beta-PeptidesCognitive DysfunctionHypertensionMagnetic Resonance ImagingPeptide FragmentsWhite MatterAgedFemaleHumansMaleMiddle AgedRisk FactorsAmyloid beta-Peptidesamyloid beta-protein (1-40)amyloid beta-protein (1-42)Peptide FragmentsAlzheimer's disease biomarkersAβ42/40 ratiocerebrovascular pathologycognitive impairment riskdementiavascular and amyloid pathwayswhite matter hyperintensity (WMH)

Identifiers

PMID39229896
PMCPMC11485393

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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.