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Ho Chi Minh city University of Medicine and Pharmacy

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Objective:Survey of serum concentrations of S100 protein and NSE in patients with acute cerebral infarction. To understand the relationship between serum S100 protein and NSE concentrations with some other risk factors such as age, sex, Glasgow Coma Scale, cerebral lesion volume on computerized tomography. Subjects and Methods: Study of 90 hospitalized patients with cerebral infarction at ICU of Hue Central Hospital and 100 controls. Data was collected through medical records of patients with acute cerebral infarction and control. The study method was acrossectional and descriptive. Data was analysed by medical statistics and processed by the SPSS 19.0 software.Results: In our study group of patients with average age was 68.3 ± 13.1. (Min: 32, Max: 90). Age of majority from 61 to 80 years (48.9%) patients who were the retired elderly. The average concentration of S100 protein and NSE in patient group was 1.489 ± 2.663 (micrograms/L); 38.36 ± 34.46(ng/mL), respectively.The greater volume of lesions was, the higher the concentration of S100 protein and NSE was. There was a agreement correlation between the S100 protein and NSE with lesion volume, the correlation equations respectively: y = 20.6x + 67.71 (n = 90; r = 0.397; p <0.01); y= 1.441x + 43.104 (n = 90; r = 0.359; p <0.01). Cut-off value to predict the survival of S100 protein and NSE in this study respectively 0.21 mcg/l and 20.45ng/ml. Predictive value of survival (death) of S100 protein is higher than NSE. Conclusion: The average concentration of S100 protein and NSE in patient group was 1.489 ± 2.663 (micrograms/L); 38.36 ± 34.46(ng/mL), respectively. Cut-off value to predict the survival of S100 protein and NSE in this study respectively 0.21 mcg/l and 20.45ng/ml. Predictive value of survival of S100 protein is higher than NSE. There is positive correlation between NSE and S100 protein with lesion volume. S100 protein and NSE can be used to predict and monitor disease progression and the volume of brain lesions. Keywords: Stroke, acute cerebral infarction, S100 protein, NSE.
Title: Ho Chi Minh city University of Medicine and Pharmacy
Description:
Objective:Survey of serum concentrations of S100 protein and NSE in patients with acute cerebral infarction.
To understand the relationship between serum S100 protein and NSE concentrations with some other risk factors such as age, sex, Glasgow Coma Scale, cerebral lesion volume on computerized tomography.
Subjects and Methods: Study of 90 hospitalized patients with cerebral infarction at ICU of Hue Central Hospital and 100 controls.
Data was collected through medical records of patients with acute cerebral infarction and control.
The study method was acrossectional and descriptive.
Data was analysed by medical statistics and processed by the SPSS 19.
0 software.
Results: In our study group of patients with average age was 68.
3 ± 13.
1.
(Min: 32, Max: 90).
Age of majority from 61 to 80 years (48.
9%) patients who were the retired elderly.
The average concentration of S100 protein and NSE in patient group was 1.
489 ± 2.
663 (micrograms/L); 38.
36 ± 34.
46(ng/mL), respectively.
The greater volume of lesions was, the higher the concentration of S100 protein and NSE was.
There was a agreement correlation between the S100 protein and NSE with lesion volume, the correlation equations respectively: y = 20.
6x + 67.
71 (n = 90; r = 0.
397; p <0.
01); y= 1.
441x + 43.
104 (n = 90; r = 0.
359; p <0.
01).
Cut-off value to predict the survival of S100 protein and NSE in this study respectively 0.
21 mcg/l and 20.
45ng/ml.
Predictive value of survival (death) of S100 protein is higher than NSE.
Conclusion: The average concentration of S100 protein and NSE in patient group was 1.
489 ± 2.
663 (micrograms/L); 38.
36 ± 34.
46(ng/mL), respectively.
Cut-off value to predict the survival of S100 protein and NSE in this study respectively 0.
21 mcg/l and 20.
45ng/ml.
Predictive value of survival of S100 protein is higher than NSE.
There is positive correlation between NSE and S100 protein with lesion volume.
S100 protein and NSE can be used to predict and monitor disease progression and the volume of brain lesions.
Keywords: Stroke, acute cerebral infarction, S100 protein, NSE.

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