scholarly journals Assessing early erythrolysis and the relationship to perihematomal iron overload and white matter survival in human intracerebral hemorrhage

2021 ◽  
Author(s):  
Nemanja Novakovic ◽  
Zachary M. Wilseck ◽  
Thomas L. Chenevert ◽  
Guohua Xi ◽  
Richard F. Keep ◽  
...  
Keyword(s):  
White Matter ◽  
Intracerebral Hemorrhage ◽  
Iron Overload ◽  
The Relationship

White matter lesions and poor outcome after intracerebral hemorrhage: A nationwide cohort study

Neurology ◽  
2010 ◽  
Vol 74 (19) ◽  
pp. 1502-1510 ◽  
Author(s):  
S. H. Lee ◽  
B. J. Kim ◽  
W. S. Ryu ◽  
C. K. Kim ◽  
N. Kim ◽  
...  
Keyword(s):  
Cohort Study ◽  
White Matter ◽  
Intracerebral Hemorrhage ◽  
White Matter Lesions ◽  
Poor Outcome

P1-032: The relationship between depression and white matter ischemic change using DTI

2010 ◽  
Vol 6 ◽  
pp. S182-S183
Author(s):  
Hyun Seok Kang ◽  
Seol-Heui Han ◽  
Sookhui Kim
Keyword(s):  
White Matter ◽  
Ischemic Change ◽  
The Relationship

Early metabolic alterations in edematous perihematomal brain regions following experimental intracerebral hemorrhage

1998 ◽  
Vol 88 (6) ◽  
pp. 1058-1065 ◽  
Author(s):  
Kenneth R. Wagner ◽  
Guohua Xi ◽  
Ya Hua ◽  
Marla Kleinholz ◽  
Gabrielle M. de Courten-Myers ◽  
...  
Keyword(s):  
White Matter ◽  
Intracerebral Hemorrhage ◽  
Gray Matter ◽  
High Energy ◽  
Brain Regions ◽  
Large Animal ◽  
High Energy Phosphate ◽  
Content Type ◽  
Water Contents ◽  
Fine Print

Object. The authors previously demonstrated, in a large-animal intracerebral hemorrhage (ICH) model, that markedly edematous (“translucent”) white matter regions (> 10% increases in water contents) containing high levels of clotderived plasma proteins rapidly develop adjacent to hematomas. The goal of the present study was to determine the concentrations of high-energy phosphate, carbohydrate substrate, and lactate in these and other perihematomal white and gray matter regions during the early hours following experimental ICH. Methods. The authors infused autologous blood (1.7 ml) into frontal lobe white matter in a physiologically controlled model in pigs (weighing approximately 7 kg each) and froze their brains in situ at 1, 3, 5, or 8 hours postinfusion. Adenosine triphosphate (ATP), phosphocreatine (PCr), glycogen, glucose, lactate, and water contents were then measured in white and gray matter located ipsi- and contralateral to the hematomas, and metabolite concentrations in edematous brain regions were corrected for dilution. In markedly edematous white matter, glycogen and glucose concentrations increased two- to fivefold compared with control during 8 hours postinfusion. Similarly, PCr levels increased several-fold by 5 hours, whereas, except for a moderate decrease at 1 hour, ATP remained unchanged. Lactate was markedly increased (approximately 20 µmol/g) at all times. In gyral gray matter overlying the hematoma, water contents and glycogen levels were significantly increased at 5 and 8 hours, whereas lactate levels were increased two- to fourfold at all times. Conclusions. These results, which demonstrate normal to increased high-energy phosphate and carbohydrate substrate concentrations in edematous perihematomal regions during the early hours following ICH, are qualitatively similar to findings in other brain injury models in which a reduction in metabolic rate develops. Because an energy deficit is not present, lactate accumulation in edematous white matter is not caused by stimulated anaerobic glycolysis. Instead, because glutamate concentrations in the blood entering the brain's extracellular space during ICH are several-fold higher than normal levels, the authors speculate, on the basis of work reported by Pellerin and Magistretti, that glutamate uptake by astrocytes leads to enhanced aerobic glycolysis and lactate is generated at a rate that exceeds utilization.

Abstract TP201: The Relationship Between Chronic Kidney Diseases and the Presence of Cerebral Small Vessel Disease in Patients With Acute Ischemic Stroke

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Kana Ueki ◽  
Asako Nakamura ◽  
Masahiro Yasaka ◽  
Takahiro Kuwashiro ◽  
Seiji Gotoh ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
White Matter ◽  
Acute Ischemic Stroke ◽  
White Matter Lesion ◽  
Kidney Diseases ◽  
Univariate Analysis ◽  
Small Vessel ◽  
Chronic Kidney Diseases ◽  
History Of ◽  
The Relationship

Introduction: Cerebral small vessel diseases (SVDs) i.e. white matter lesion and cerebral microbleeds (CMBs) are related to the patients with stroke more deeply than those without. In general population, in addition to age, hypertension, diabetes chronic kidney diseases (CKD) is well known to be related to SVDs, but it remains unclear in patients with stroke. We investigated the relationship between CKD and the presence of SVDs in patients with acute ischemic stroke. Methods: We enrolled 493 patients with acute ischemic stroke patients or transient ischemic attack patients (mean age 71; 60% male) who had undergone 1.5T MR imaging within a week of the index events from April 2013 to march 2015. We evaluated kidney function by estimated glomerular filtration rate (eGFR) with the modification of diet in Renal Disease. CKD was defined as an eGFR less than 60mil/min/1.73m 2 . CMBs were defined as focal areas of very low signal intensity smaller than 10mm. White matter lesion as Periventricular hyper intensity (PVH)>grade 2 and Deep and Subcortical White Matter Hyper intensity (DSWMH)> grade 2 were defied as advanced PVH and advanced DSWMH, respectively. We investigated relationship between CKD and CMBs, advanced PVH and advanced DSWMH using a logistic regression analysis. Results: We noted CMBs in 173 patients (35%), PVH in 81 (16%), and DSWMH in 151 (31%). An univariate analysis revealed that the age, CKD, history of stroke, and antiplatelet agents were associated with presence of CMBs, advanced PVH and severe DSWMH . The multivariate analysis revealed that CMBs, advanced PVH and advanced DSWMH were associated with age (CMBs: odds ratio(OR) ; 1.32 ; 95% confidence interval(CI), 1.10-1.60, p=0.004, advanced PVH : OR ; 3.00 ; 95% CI, 2.17-4.26, p<0.01, advanced DSWMH: OR ; 1.94; 95% CI, 1.56-2.45, p<0.01 ), history of stroke(CMBs : OR ; 2.01 ; 95% CI, 1.21-3.34, p=0.007, advanced PVH : OR ; 2.25 ; 95% CI, 1.18-4.27, p=0.01, advanced DSWMH: OR ; 1.78 ; 95% CI, 1.03-3.06, p=0.038). CKD was associated with CMBs (OR ; 1.62 ; 95% CI, 1.04-2.52, p=0.03), but PVH and DSWMH were not. Conclusions: It seems that age and history of stroke are related to CMBs, advanced PVH and advanced DSWMH, and that CKD is associates with CMBs but not with either advanced PVH or advanced DSWMH.

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