Evidence map›Paper›PMID 40672575›Full record

ArticleAmerican journal of translational research2025

DTI-ALPS index as a predictor of glymphatic system dysfunction in cerebral infarction.

Bomiao Lin, Yuh Yang Leong, Mazlyfarina Mohamad

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Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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2citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Bomiao LinCenter for Diagnostic, Therapeutic and Investigative Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia Jalan Raja Muda Abdul Aziz, Wilayah Persekutuan Kuala Lumpur 50300, Malaysia.
Yuh Yang LeongDepartment of Radiology, Universiti Kebangsaan Malaysia Medical Centre Jalan Yaacob Latif Bandar Tun Razak Cheras, Kuala Lumpur 56000, Malaysia.
Mazlyfarina MohamadCenter for Diagnostic, Therapeutic and Investigative Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia Jalan Raja Muda Abdul Aziz, Wilayah Persekutuan Kuala Lumpur 50300, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate glymphatic system (GS) dysfunction in patients with cerebral infarction using diffusion tensor imaging - along the perivascular space (DTI-ALPS), and to investigate factors associated with glymphatic function impairment following stroke.

methodsA retrospective study was conducted on 82 patients diagnosed with cerebral infarction at Zhujiang Hospital of Southern Medical University between July 2019 and June 2022. Based on 90-day modified Rankin Scale (mRS) scores, patients were categorized into a good prognosis group (n = 40) and a poor prognosis group (n = 42). Clinical data, National Institutes of Health Stroke Scale (NIHSS) scores, DTI-ALPS indices (L-ALPS, R-ALPS, mean-ALPS), 90-day mRS scores, and infarct location were compared between groups.

resultsAt admission, the L-ALPS, R-ALPS, and mean-ALPS values were significantly higher in the good prognosis group compared to the poor prognosis group (all P < 0.05). At 90 days post-onset, Hamilton Depression (HAMD) and Anxiety (HAMA) scores were significantly lower than baseline in the good prognosis group, indicating better psychological recovery compared to the poor prognosis group (both P < 0.05). Additionally, NIHSS scores were lower, while Glasgow Coma Scale (GCS) and activities of daily living (ADL) scores were higher in the good prognosis group (both P < 0.05). Logistic regression analysis identified L-ALPS, R-ALPS, mean-ALPS, 90-day mRS, ADL, and GCS scores as independent predictors of poor prognosis. Furthermore, ADL, 90-day mRS, and GCS scores were independently associated with GS dysfunction.

conclusionPatients with poor prognosis after cerebral infarction exhibit significant GS dysfunction. This dysfunction correlates with the severity of neurological impairment, suggesting that glymphatic impairment is both a marker and a potential contributor to stroke outcomes.

Indexed as

cerebral infarctiondiffusion tensor imaging analysis along the perivascular spaceGlymphatic system function

Identifiers

PMID40672575
PMCPMC12261151

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