Introduction Blockage of the cerebral arteries due to thrombosis and embolism resulting in decreased blood flow to the brain, reduced oxygen supply to the brain, resulting in neuronal damage and causes astrocyte cells to secrete glial fibrillary acidic protein (GFAP). The objective of this study was to determine the correlation between GFAP levels serum and clinical outcome in patients with acute ischemic stroke. Methods This was observational with a cross-sectional design on acute ischemic stroke patients confirmed by CT scans and divided into large vessel occlusion and small-vessel occlusion. Clinical outcome was measured using the National Institutional Health Stroke Scale (NIHSS) tool. Statistical analysis uses Spearman’s rank correlation test and Mann Whitney’s test, significant if p < 0.05. Results After collecting 33 research subjects, we found 16 people with large vessel occlusion and 17 people with small vessel occlusion. Serum GFAP levels were 0.2–1.9 ng/mL, 9.1% with a mild neurological deficit, 45.45% were moderate neurological deficits, and 45.45% were severe neurological deficits. There was a significant positive correlation (r = 0.522; p = 0.002) between serum GFAP levels and the degree of neurological deficit in ischemic stroke patients. There was a statistically significant difference between serum GFAP levels in ischemic stroke patients with CT scan results of large artery occlusion compared to small artery occlusion (0.7 vs 0.4ng/mL; p = 0.001). Conclusion There was a positive correlation between GFAP level serum and NIHSS score on acute ischemic stroke. The higher the value of GFAP serum level, the higher the value for NIHSS and correlated with stroke severity and the extent of brain damage in ischemic stroke patients.
Introduction Ischemic stroke can occur due to disruption of blood and oxygen supply to brain tissue. White blood cells and platelets play an important role in the pathogenesis of ischemic stroke. Several studies have concluded that the lower the platelet count and the higher the number of white blood cells in ischemic stroke patients will result in a more severe stroke and had worsen prognosis. Platelet and white blood cells counts can be converted into Platelet-to-White Blood Cell Ratio (PWR) which is a comparison between the number of platelets and white blood cells, so the higher PWR will provide better clinical outcomes. Here, we examined correlation between PWR and clinical outcome in acute ischemic stroke using NIHSS tools. Method This research method was a retrospective analytic from 503 medical records of ischemic stroke patients from January 2015 to December 2017. Ischemic stroke divided into 2 groups: cardioembolic stroke and atherothrombotic stroke based on medical records. We calculated PWR and National Institute of Health Stroke Scale (NIHSS) for assessing clinical outcome. Statistical significance calculated with Spearman rank test, ANOVA, and multiple logistic regression. Results A total of 391 research subjects consisting of 213 females (54.5%) and 178 males (45.5%). The mean age of 57.14 years, and 82% subjects had hypertension as risk factor. Mean PWR of atherothrombotic stroke subjects were higher than cardioembolic stroke (33.02 vs 26.73) but had lower mean of NIHSS (5.81 vs 10.31) and had strong negative significant correlation between PWR and NIHSS (r = -0.9603; p < 0.001). From logistic regression, we found that PWR and platelet was statistically significance correlate with NIHSS (p < 0.05). The coefficient if PWR is the highest (absolute value) among other independent variables.It shows that PWR has positive effect on clinical outcome using NIHSS tools in acute ischemic stroke patients. Conclusion Cardioembolic stroke had higher PWR compared with atherothrombotic stroke. PWR had a strong correlation with NIHSS. The higher PWR will provide higher NIHSS and PWR has positive effect on clinical outcome using NIHSS tools in acute ischemic stroke patients.
Background: Stroke is a disease with a high mortality rate and common cause of disability. Nutritional factors are strongly associated with this disease. Malnutrition in hospitalized patients increases the incidence of complications, prolonged the length of stay and also the cost of hospitalization. Furthermore, nutritional status of stroke patients can deteriorate during hospitalization. The prevalence of malnutrition in hospitalized stroke patients is about 6% to 62%. The objective of this study was to identify the nutritional status of hospitalized stroke patient. Methods: This was a descriptive cross-sectional study. Population of the study was hospitalized stroke patients at Neurology Ward, Kemuning Building Dr. Hasan Sadikin General Hospital Bandung, Indonesia from August until October 2014 who meet the inclusion criteria. Nutritional status was measured objectively using Body Mass Index (BMI) and subjectively using Subjective Global Assessment (SGA) method. The collected data were processed using frequency tabulation and percentage. Results: Twenty six hospitalized stroke patients were included in this study. The hospitalized patients with normal BMI were about 12 people (46.15%), 8 people were overweight (30.77%), 4 people were undernourished (15.39%) and 2 people (7.69%) were obese. According to SGA measurement, approximately 18 people (69.22%) were moderately malnourished, and as much as 4 people (15.39%) were in good nutrition, whereas 4 people (15.39%) were severely malnourished. Conclusions: Majority of the hospitalized stroke patients has normal BMI and moderately malnourished based on SGA.
Background: Hypoxia-inducible factor-1α (HIF-1α) is a transcription factor which maintains cellular homeostasis in response to hypoxia. It can trigger apoptosis while stimulating angiogenesis process and decrease neurological deficit after an ischemic stroke. Up until now, this protein complex has not been widely investigated especially in stroke patient. Objective: Here, we examined the potential of HIF-1α as a marker for neuroplasticity process after ischemic stroke. Methods: Serum HIF-1α were measured in acute ischemic stroke patients. National Institute of Health Stroke Scale (NIHSS) were assessed on the admission and discharge day (between days 7 and 14). Ischemic stroke divided into 2 groups: large vessel disease (LVD, n ¼ 31) and small vessel disease (SVD, n ¼ 27). Statistical significances were calculated with Spearman rank test. Results: A total of 58 patients, 31 with large artery atherosclerosis LVD and 27 with small vessel disease (SVD) were included in this study. HIF-1α level in LVD group was 0.5225 AE 0.2459 ng/mL and in SVD group was 0.3815 AE 0.121 ng/mL. HIF-1α was higher (p ¼ 0.004) in LVD group than in SVD group. The initial NIHSS score in LVD group was 15.46 AE 2.61 and discharge NIHSS score was 13.31 AE 3.449. Initial NIHSS score in SVD group was 6.07 AE 1.82 and the discharge NIHSS was 5.703 AE 1.7055. In both SVD and LVD group, HIF-1α were significantly correlated with initial NIHSS (both p < 0.001) and discharge NIHSS (p < 0.0383 r ¼ 0.94, p < 0.001, r ¼ 0.93, respectively). Conclusions: HIF-1α has a strong correlation with NIHSS and it may be used as predictor in acute ischemic stroke outcome.
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