Setting: Baltimore.
Methods: Adult selleck products female Long-Evans rats underwent unilateral impact trauma to the spinal cord at C7, which produced ipsilateral but not contralateral primary
hemorrhage. In series 1 (six control rats and six administered glibenclamide), hemorrhagic lesion expansion was characterized using MRI at 1 and 24 h after trauma. In series 2, hemorrhagic lesion size was characterized on coronal tissue sections at 15 min (eight rats) and at 24 h after trauma (eight control rats and eight administered glibenclamide).
Results: MRI (T2 hypodensity) showed that lesions expanded 2.3 +/- 0.33-fold (P<0.001) during the first 24 h in control rats, but only 1.2 +/- 0.07-fold (P>0.05) in glibenclamide-treated rats. Measuring the areas of hemorrhagic contusion on tissue sections at the epicenter showed that lesions expanded 2.2 +/- 0.12-fold (P<0.001) during the first 24 h in control rats, but only 1.1 +/- 0.05-fold (P>0.05) in glibenclamide-treated rats. Glibenclamide treatment was associated with significantly better neurological function (unilateral BBB scores) at 24 h in both the ipsilateral (median scores, 9 vs 0; P<0.001) and contralateral (median scores, 12 vs 2; P<0.001) hindlimbs.
Conclusion: MRI is an accurate non-invasive imaging biomarker of lesion expansion and is a sensitive measure of the
ability GSK923295 purchase of glibenclamide to reduce lesion find more expansion.”
“Background: Stroke survivors may be dependent and need additional attention. We aimed to determine factors that related to quality of life of stroke survivors. Methods: A hospital-based analytical study was performed between January 1 and March 31, 2008
at Srinagarind Hospital in the Khon Kaen province of Thailand. Factors related to quality of life using the Thai 36-item Short Form (SF-36) rating scale were studied. Results: There were 237 stroke survivors in the study. The age range of participants was between 20 and 91 years of age (mean = 63.7 +/- 12.8, median = 65.0). For physical health summary scale, factor related with better scale were male gender (P<.001; 95% confidence interval [CI] 6.3-21.9), aged under 50 (P<.001; 95% CI 6.3-21.9), educational level higher than bachelor degree (P<.001; 95% CI 8.1-22.3), and unemployed status (P<.001; 95% CI 6.4-19.8). For mental health summary scale, the education level (P<.001; 95% CI 7.3-20.1), employment status (P=.007; 95% CI 2.3-14.5), household income (P<.001), and disease severity (P<.001; 95% CI 15.5-27.7) had statistically significant difference. Overall, the age, level of education, employment status, monthly household income and the modified Rankin scale score related to the quality of life. Conclusions: The factors related to quality of life were age, educational level, occupation, monthly household income, and modified Rankin scale score.