Evidence map›Paper›PMID 41532474›Full record

ArticlePM & R : the journal of injury, function, and rehabilitation2026

Activity measure post-acute care score for discharge outcomes is associated with prolonged venous transit on perfusion imaging in reperfused large vessel occlusion strokes.

Manisha Koneru, Janet Y Mei, Dhairya A Lakhani, Aneri B Balar, Meisam Hoseinyazdi, Hamza A Salim, Burak Berksu Ozkara, Licia P Luna, Francis Deng, Nathan Z Hyson and 23 more

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In one paragraph

Article in PM & R : the journal of injury, function, and rehabilitation, 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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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

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No citing paper in PubMed yet.

4 · The record

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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

33 authors.

Manisha KoneruDepartment of Radiology, Cooper Medical School of Rowan University, Camden, New Jersey, USA.ORCID https://orcid.org/0000-0001-5012-6793
Janet Y MeiDepartment of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Dhairya A LakhaniDepartment of Radiology, West Virginia University School of Medicine, Morgantown, West Virginia, USA.ORCID https://orcid.org/0000-0001-7577-1887
Aneri B BalarDepartment of Radiology, West Virginia University School of Medicine, Morgantown, West Virginia, USA.ORCID https://orcid.org/0000-0002-3592-708X
Meisam HoseinyazdiDepartment of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Hamza A SalimDepartment of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Burak Berksu OzkaraDepartment of Neuroradiology, University of Texas MD Anderson Center, Houston, Texas, USA.
Licia P LunaDepartment of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Francis DengDepartment of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Nathan Z HysonDepartment of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Adam A DmytriwDepartment of Neuroradiology, Massachusetts General Hospital & Harvard Medical School, Boston, Massachusetts, USA.
Adrien GuenegoDepartment of Radiology, Universite Libre De Bruxelles Hospital Erasme, Brussels, Belgium.
Jeremy J HeitDepartment of Radiology, Stanford University School of Medicine, Stanford, California, USA.
Gregory W AlbersDepartment of Neurology, Stanford University School of Medicine, Stanford, California, USA.
Dylan WolmanDepartment of Diagnostic Imaging, Brown University/Rhode Island Hospital, Providence, Rhode Island, USA.
Tobias D FaizyDepartment of Radiology, University Medical Center Munster, Munster, Germany.
Benjamin PulliDepartment of Radiology, Stanford University School of Medicine, Stanford, California, USA.
Max WintermarkDepartment of Neuroradiology, University of Texas MD Anderson Center, Houston, Texas, USA.
Sijin WenDepartment of Radiology, West Virginia University School of Medicine, Morgantown, West Virginia, USA.
Vaibhav VagalDepartment of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, USA.
Aakanksha SriwastwaDepartment of Radiology, University of Cincinnati, Cincinnati, Ohio, USA.
Yasmin AzizDepartment of Neurology, University of Cincinnati, Cincinnati, Ohio, USA.
Risheng XuDepartment of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Hanzhang LuDepartment of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Victor C UrrutiaDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Elisabeth B MarshDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Richard LeighDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Mona BahouthDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Rafael H LlinasDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Kambiz NaelDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Marlis Gonzalez-FernandezDepartment of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Argye E HillisDepartment of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Vivek S YedavalliDepartment of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Laura F. Gibson · 2012 to 2026
$81.0M
NIGMS NIH HHS 5U54GM104942-08NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundActivity Measure for Post-Acute Care (AM-PAC) score is used in discharge planning for patients with acute ischemic stroke from a large vessel occlusion (AIS-LVO). Prolonged venous transit (PVT) is a binary, qualitative measure visually ascertained from computed tomography perfusion imaging time-to-maximum (Tmax) maps. PVT has been associated with unfavorable recovery and mortality.

objectiveTo assess the robustness of PVT by evaluating its association with AM-PAC.

methodsConsecutive adult patients with AIS-LVO treated successfully with reperfusion therapy were retrospectively reviewed. PVT+ is defined as Tmax

resultsAmong 121 patients, the median age was 72 (interquartile range, 64-81) years. Favorable AM-PAC scores occurred less often in PVT+ than PVT- patients (10.5% vs. 45.8%). PVT+ was associated with significantly reduced odds of favorable AM-PAC score in multivariable regressions (PVT+ vs. PVT- odds ratio [OR]: 0.11, 95% confidence interval [CI]: 0.03-0.48, p = .01); the significant association furthermore persisted in the matched cohort analysis (PVT+ vs. PVT- OR: 0.73, 95% CI: 0.60-0.88, p < .001).

conclusionPVT+ is independently associated with lower odds of favorable AM-PAC scores at discharge. Logistically-consistent associations with short-term and long-term clinical outcomes augment our understanding of PVT and further establish the potential of this novel imaging parameter as an informative metric in clinical practice.

Indexed as

Cerebrovascular CirculationIschemic StrokePatient DischargePerfusion ImagingStrokeAgedAged, 80 and overFemaleHumansMaleMiddle AgedReperfusionRetrospective Studies

Identifiers

PMID41532474
PMCPMC13476654

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