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Evaluation of Prognostic Implication of Serum Mixed Lineage Kinase Domain-Like Protein in Acute Primary Supratentorial Intracerebral Hemorrhage: A Multicenter Prospective Cohort Study.

作者信息

Ma Yijun, Wang Jun, Tang Chao, Liu Jin, Wu Xiaoyu, Dong Xiaoqiao, Du Quan, Li Wei, Lv Xuan, Zhu Suijun

机构信息

Department of Neurosurgery, First People's Hospital of Linping District, Hangzhou, China.

Department of Neurosurgery, Linping Campus, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.

出版信息

Brain Behav. 2025 Mar;15(3):e70424. doi: 10.1002/brb3.70424.


DOI:10.1002/brb3.70424
PMID:40079614
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11905090/
Abstract

OBJECTIVE: Mixed lineage kinase domain-like protein (MLKL) is a key component of necroptosis. Here, serum MLKL levels were measured with the intent to assess its prognostic significance in acute intracerebral hemorrhage (ICH). METHODS: A collective of 161 patients with acute primary supratentorial ICH and 73 controls were enlisted in this multicenter prospective cohort study. Serum MLKL levels were measured at admission in all patients, at study entry in all controls, and on post-ICH days 1, 3, 5, 7, 10, and 15 in 73 of all patients. Multivariate analyses were adopted to assess relationships between serum MLKL levels, severity, early neurological deterioration (END), poststroke 6-month modified Rankin Scale (mRS) scores, and poor prognosis (mRS scores of 3-6). RESULTS: Patients, relative to controls, had significantly promoted serum MLKL levels from admission until Day 15, with the peaking value at Day 3 (p < 0.001). Admission serum MLKL levels were independently correlated with National Institutes of Health Stroke Scale (NIHSS) scores (beta, 0.133; 95% confidence interval (CI), 0.088-0.178; p = 0.011), hematoma volume (beta, 0.051; 95%CI, 0.037-0.064; p = 0.001), and 6-month mRS scores (beta, 0.707; 95%CI, 0.487-0.927; p = 0.023), as well as independently predicted END (odds ratio, 1.902; 95%CI, 1.229-2.945; p = 0.014) and poor prognosis (odds ratio, 2.286; 95%CI, 1.324-3.946; p = 0.038). Admission serum MLKL levels were linearly connected to risks of poor prognosis (p > 0.05) and END (p > 0.05), had no interactions with age, gender, hypertension, and so forth (all p > 0.05), and possessed similar areas under the receiver operating characteristic curve to NIHSS scores and hematoma volume (all p > 0.05). The models integrating serum MLKL levels, NIHSS scores, and hematoma volume were graphically represented by nomogram and predicted END and poor prognosis with a good consistency under the calibration curve. CONCLUSIONS: Serum MLKL levels are markedly increased shortly following ICH, and may accurately mirror disease severity, and efficaciously anticipate END and six-month bad prognosis of patients, strengthening serum MLKL as a prognostic biomarker of good prospect in ICH.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/b87ea91e9036/BRB3-15-e70424-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/e921e0e4932c/BRB3-15-e70424-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/38f7ac2d2f2f/BRB3-15-e70424-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/7d558ef5bc5c/BRB3-15-e70424-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/8c7f626f4c62/BRB3-15-e70424-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/463c990694bb/BRB3-15-e70424-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/d0358fb00b47/BRB3-15-e70424-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/95cba06f5c25/BRB3-15-e70424-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/129cc0547654/BRB3-15-e70424-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/18870093c59d/BRB3-15-e70424-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/2fcf30048bfb/BRB3-15-e70424-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/e500989dcaae/BRB3-15-e70424-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/1fb771f6bc3c/BRB3-15-e70424-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/4674b032cf03/BRB3-15-e70424-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/e447729c5ad4/BRB3-15-e70424-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/8106a78ae7fd/BRB3-15-e70424-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/eedc91ede264/BRB3-15-e70424-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/feaafaa0d361/BRB3-15-e70424-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/d139196fa6e2/BRB3-15-e70424-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/b87ea91e9036/BRB3-15-e70424-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/e921e0e4932c/BRB3-15-e70424-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/38f7ac2d2f2f/BRB3-15-e70424-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/7d558ef5bc5c/BRB3-15-e70424-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/8c7f626f4c62/BRB3-15-e70424-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/463c990694bb/BRB3-15-e70424-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/d0358fb00b47/BRB3-15-e70424-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/95cba06f5c25/BRB3-15-e70424-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/129cc0547654/BRB3-15-e70424-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/18870093c59d/BRB3-15-e70424-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/2fcf30048bfb/BRB3-15-e70424-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/e500989dcaae/BRB3-15-e70424-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/1fb771f6bc3c/BRB3-15-e70424-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/4674b032cf03/BRB3-15-e70424-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/e447729c5ad4/BRB3-15-e70424-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/8106a78ae7fd/BRB3-15-e70424-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/eedc91ede264/BRB3-15-e70424-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/feaafaa0d361/BRB3-15-e70424-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/d139196fa6e2/BRB3-15-e70424-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a4c/11905090/b87ea91e9036/BRB3-15-e70424-g001.jpg

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本文引用的文献

[1]
Potential blood biomarkers that can be used as prognosticators of spontaneous intracerebral hemorrhage: A systematic review and meta-analysis.

PLoS One. 2025-2-19

[2]
Neuroinflammation and iron metabolism after intracerebral hemorrhage: a glial cell perspective.

Front Neurol. 2025-1-15

[3]
Association between serum glucose potassium ratio and mortality in critically ill patients with intracerebral hemorrhage.

Sci Rep. 2024-11-9

[4]
Systemic immune-inflammation index and serum glucose-potassium ratio predict poor prognosis in patients with spontaneous cerebral hemorrhage: An observational study.

Medicine (Baltimore). 2024-7-19

[5]
High C-Reactive Protein/ Albumin Ratio Predicts Mortality and Hemorrhage in Stroke Patients Undergoing Mechanical Thrombectomy: A Systematic Review and Meta-Analysis.

World Neurosurg. 2024-8

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Treatment for intracerebral hemorrhage: Dawn of a new era.

Int J Stroke. 2024-6

[7]
Outcome Trajectories after Intracerebral Hemorrhage.

Semin Neurol. 2024-6

[8]
Triglyceride-glucose index as a potential predictor for in-hospital mortality in critically ill patients with intracerebral hemorrhage: a multicenter, case-control study.

BMC Geriatr. 2024-5-1

[9]
A Prospective Cohort Study of Elevated Serum NLRP1 Levels to Prognosticate Neurological Outcome After Acute Intracerebral Hemorrhage at a Single Academic Institution.

Neuropsychiatr Dis Treat. 2024-3-29

[10]
Predictors of early neurological deterioration in patients with intracerebral hemorrhage: a systematic review and meta-analysis.

J Neurol. 2024-6

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