Evidence map›Paper›PMID 41127294›Full record

ArticleFrontiers in neurology2025

Predictive value of net water uptake for early neurological deterioration after mechanical thrombectomy in acute ischemic stroke with large vessel occlusion.

Min Kuang, Junying Li, Jian Wang, Guangwen Chen, Chao Luo

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Article in Frontiers in neurology, 2025. 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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5 · Who and what money

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5 authors.

Min Kuang *Department of Radiology, West China School of Medicine, Sichuan University, Sichuan University Affiliated Chengdu Second People's Hospital, Chengdu, China.
Junying Li *Department of Neurology, West China School of Medicine, Sichuan University, Sichuan University Affiliated Chengdu Second People's Hospital, Chengdu, China.
Jian WangDepartment of Neurology, West China School of Medicine, Sichuan University, Sichuan University Affiliated Chengdu Second People's Hospital, Chengdu, China.
Guangwen ChenDepartment of Radiology, West China School of Medicine, Sichuan University, Sichuan University Affiliated Chengdu Second People's Hospital, Chengdu, China.
Chao LuoDepartment of Radiology, West China School of Medicine, Sichuan University, Sichuan University Affiliated Chengdu Second People's Hospital, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate whether Net Water Uptake (NWU) can predict early neurological deterioration (END) after mechanical thrombectomy (MT) in acute ischemic stroke with large vessel occlusion (AIS-LVO). Materials and methods: We retrospectively analyzed consecutive patients with AIS-LVO who underwent MT. Patients were categorized into the END group and the non-END group based on whether END occurred. NWU was an imaging parameter to quantify the water uptake capacity of brain tissue and measured on admission non-contrast computed tomography (NCCT). Early edema progression rate (EPR) was determined as the ratio of NWU and time from symptom onset to baseline imaging. Then, the baseline characteristics were subsequently collected. Variable and multiple regression analyses were performed to explore independent risk factors for END. Finally, receiver operating characteristic (ROC) curves were constructed to evaluate the predictive value of NWU for END. Results: A total of 158 patients were included. The median NWU, admission National Institutes of Health Stroke Scale (NIHSS) and EPR in END group was 10.1% (IQR: 6.8-15.4), 16(IQR: 15-19) and 0.087% (IQR: 0.038-0.187). Respectively, the non-END group was 6.8% (IQR: 0-10.9), 13(IQR: 8-17) and 0.043% (IQR: 0-0.096). Compared with the non-END group, the END group had higher NWU ( Conclusion: The NWU was an independent predictor of END and increased NWU is associated with END in patients with AIS-LVO after MT. Similarly, the admission NIHSS score was also an independent predictor. The combination of NWU and the admission NIHSS score achieves the strongest predictive ability for END.

Indexed as

computed tomographyearly neurologic deteriorationmechanical thrombectomynet water uptakestroke

Identifiers

PMID41127294
PMCPMC12537417

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