Evidence mapPaperPMID 39494382Full record

ArticleNeuropsychiatric disease and treatment2024

Predictive Value of White Matter Hyperintensities for Early Neurological Deterioration in Patients with Embolic Stroke of Undetermined Source.

Lihao Zhang, Yan Su, Qian Wang, Yan Wang, Yikun Guo

Abstract read
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Article in Neuropsychiatric disease and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Lihao ZhangDepartment of Neurology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China.
Yan SuDepartment of Radiology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China.
Qian WangDepartment of Neurology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China.
Yan WangDepartment of Neurology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China.
Yikun GuoDepartment of Neurology, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the role of white matter hyperintensities (WMH) in predicting early neurological deterioration (END) in patients with embolic stroke of undetermined source (ESUS) without reperfusion therapy. Methods: In a retrospective analysis, 111 acute ESUS patients not treated with reperfusion therapy were enrolled. WMH severity was evaluated using the Fazekas scale, with patients categorized into mild (Fazekas score ≤ 2) or moderate-to-severe (Fazekas score ≥ 3) WMH groups. Clinical data were compared between the groups, and END was monitored within 72 hours of hospital admission. The association between WMH and END was assessed using binary logistic regression. Results: Patients with moderate-to-severe WMH were significantly older (p = 0.001) and more likely to have a history of stroke (28.6% vs 10.5%, p = 0.017) compared to the mild WMH group. The END group (n=16) presented with higher baseline NIHSS scores and a greater prevalence of moderate-to-severe WMH (p < 0.05). Binary logistic regression identified moderate-to-severe WMH (OR = 4.012, 95% CI: 1.080-14.906, p = 0.038), smoking (OR = 4.368, 95% CI: 1.171-16.293, p = 0.028), and diabetes mellitus (OR = 3.986, 95% CI: 1.007-15.789, p = 0.049) as independent predictors of END in ESUS patients. Conclusion: Moderate-to-severe WMH is an independent risk factor for END in ESUS patients not receiving reperfusion therapy, highlighting the importance of considering WMH in the clinical evaluation and management of stroke patients.

Indexed as

early neurological deteriorationembolic stroke of undetermined sourcerisk factorswhite matter hyperintensities

Identifiers

PMID39494382
PMCPMC11531716

What Socratic holds

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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 Socratic graph.