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Mouse Model of Middle Cerebral Artery Occlusion
Published on: February 13, 2011
Association between proteinuria and the development of malignant middle cerebral artery infarction: A retrospective
Meng-Ni Wu1,2, Pen-Tzu Fang3, I-Hsiao Yang4
1Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Abstract:
A disrupted blood-brain barrier (BBB) with extravasation of macromolecules plays a critical role in the development of malignant middle cerebral artery infarction (MMI). Proteinuria is considered a marker of generalized endothelial dysfunction, including BBB disruption. This study aimed to clarify whether proteinuria identified in the acute stage of stroke is associated with MMI development. Patients with infarctions involving the middle cerebral artery territory were reviewed. Urine samples collected within 8 hours after stroke were analyzed using urine dipsticks. Patients were divided into proteinuria (urine dipstick reading of 1 + to 4+) and nonproteinuria groups. MMI was present if either signs of uncal herniation or a progressive conscious disturbance were recorded along with a midline shift > 5 mm identified on follow-up computed tomography (CT). Among the 1261 patients identified between January 2010 and June 2019, 138 were eligible for final analyses. Patients in the MMI group had lower Alberta Stroke Program Early CT Scores (ASPECTS), higher National Institutes of Health Stroke Scale scores, and a greater proportion of proteinuria than those in the non-MMI group. Four multivariate logistic regression models were used to clarify the role of proteinuria in MMI development. In model 1, proteinuria was significantly associated with MMI after adjusting for age, sex, dyslipidemia and ASPECTS (OR = 2.987, 95% CI = 1.329-6.716, P = .0081). The risk of developing MMI in patients with proteinuria remained significant in model 2 (OR = 3.066, 95% CI = 1.349-6.968, P = .0075) after adjusting for estimated glomerular filtrate rate (eGFR) < 60ml/min/1.73 m2 in addition to variables in model 1. In model 3, proteinuria was still significantly associated with MMI after adjusting for age, sex, dyslipidemia, ASPECTS, hypertension, diabetes, and atrial fibrillation (OR = 2.521, 95% CI = 1.075-5.912, P = .0335). In model 4, the risk of developing MMI in patients with proteinuria remained significant (OR = 2.579, 95% CI = 1.094-6.079, P = .0304) after adjusting for eGFR < 60ml/min/1.73 m2 in addition to variables in model 3. Proteinuria is independently associated with MMI development. Proteinuria may be a clinically accessible predictor of MMI development.
Insights
Proteinuria, or protein in urine, is linked to malignant middle cerebral artery infarction (MMI) development. Early detection of proteinuria may help predict MMI risk in stroke patients.
Area of Science:
- Neurology
- Nephrology
- Vascular Biology
Background:
- Disruption of the blood-brain barrier (BBB) is crucial in malignant middle cerebral artery infarction (MMI).
- Proteinuria, a marker of endothelial dysfunction, may indicate BBB compromise.
- The association between acute-stage proteinuria and MMI development requires clarification.
Purpose of the Study:
- To investigate the relationship between proteinuria in the acute phase of stroke and the development of MMI.
- To determine if proteinuria is an independent predictor of MMI.
Main Methods:
- Retrospective analysis of 138 patients with middle cerebral artery territory infarction.
- Urine dipstick analysis within 8 hours of stroke onset to detect proteinuria.
- MMI diagnosis based on clinical signs (uncal herniation, altered consciousness) and CT-defined midline shift (>5 mm).
- Multivariate logistic regression models to assess the association between proteinuria and MMI, adjusting for various clinical factors and estimated glomerular filtration rate (eGFR).
Main Results:
- Patients with MMI exhibited lower ASPECTS, higher NIHSS scores, and a higher prevalence of proteinuria compared to non-MMI patients.
- Proteinuria was significantly associated with MMI development in all four adjusted logistic regression models (ORs ranging from 2.521 to 3.066, P < .05).
- The association remained significant even after adjusting for factors like age, sex, dyslipidemia, ASPECTS, hypertension, diabetes, atrial fibrillation, and eGFR < 60 ml/min/1.73 m2.
Conclusions:
- Proteinuria is an independent risk factor associated with MMI development.
- Early detection of proteinuria in stroke patients may serve as a valuable clinical predictor for MMI.
- This finding highlights the potential role of endothelial dysfunction markers in predicting stroke outcomes.
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