Mohammad Saba; Hossein Ali Ebrahimi; Habibeh Ahmadi-Pour; Mohammad Khodadoust
Volume 16, Issue 4 , October 2017, , Pages 218-220
Abstract
Background: Several studies indicate contribution of hypothalamus-pituitary-adrenal (HPA) axis in multiple sclerosis (MS) disease. This study was designed to determine whether there is an effective difference in pituitary height, shape, and anterior-posterior diameter (APD) between patients with MS and ...
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Background: Several studies indicate contribution of hypothalamus-pituitary-adrenal (HPA) axis in multiple sclerosis (MS) disease. This study was designed to determine whether there is an effective difference in pituitary height, shape, and anterior-posterior diameter (APD) between patients with MS and the control group.Methods: In this study, sagittal pituitary height and APD of 134 men and women (64 patients with MS and 70 healthy subjects as control group) were measured by T1 sequence magnetic resonance imaging (MRI). All the subjects were free of sellar or parasellar pathology without a history of surgical intervention or prolactin affecting drugs like bromocriptine and cabergoline or corticosteroid consumption.Results: Mean height of pituitary gland was 6.62 ± 1.43 and 5.78 ± 1.15 mm for patients and the control group, respectively, and the difference between the two groups was statistically significant (P = 0.001). Mean APD was 10.40 ± 1.29 mm for the group of patients and 10.25 ± 1.41 mm for the control group, respectively, without significant differences. 46.9%, 37.5%, and 15.6% of patients had flat, convex, and concave hypophyseal surfaces, respectively. This rate was 50%, 30%, and 20% among the control group, respectively. There was no significant difference between our measurements among patients on whom imaging study was performed at time of disease onset with others.Conclusion: Mean height of pituitary gland among patients with MS was significantly greater than the control group (P = 0.001). So can we consider the same etiology for pituitary hypertrophy among patients with MS as a hypothesis?
Mohammad Ali Shafa; Hosseinali Ebrahimi; Farhad Iranmanesh; Mojtaba Sasaie
Volume 15, Issue 4 , October 2016, , Pages 209-213
Abstract
Background: Diabetes is a well-known risk factor for acute ischemic stroke (AIS). Some recent studies point to hemoglobin A1c (HbA1c) may have prognostic value in nondiabetic and diabetic patients with ischemic stroke (IS). The aim of this study was to evaluate the prognostic value of HbA1c on mortality ...
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Background: Diabetes is a well-known risk factor for acute ischemic stroke (AIS). Some recent studies point to hemoglobin A1c (HbA1c) may have prognostic value in nondiabetic and diabetic patients with ischemic stroke (IS). The aim of this study was to evaluate the prognostic value of HbA1c on mortality and morbidity in AIS patients with and without diabetic.Methods: In this prospective observational study, 150 diabetic and nondiabetic patients with AIS were evaluated for serum HbA1c level, hypertension (HTN), hyperlipidemia, and smoking in the first 24 hours of admission to determine their value to predict mortality and mortality at 30 and 90 days. Morbidity was estimated by the National Institutes of Health Stroke Scale (NIHSS) and follow-up visits were scheduled 30 and 90 days after admission. Results were analyzed with independent t-test and logistic regression analysis.Results: In this study, 73 patients (48.7%) were female and the rest were men. At 30 days, the diabetic patients had a significantly higher mortality, but no significant difference was found between diabetics and morbidity. No significant statistical differences were seen between HbA1c and 30 and 90 days with mortality and morbidity among diabetic patients. Furthermore, no significant statistical difference was seen between HbA1c and 30 and 90 days morbidity and between HbA1c and 30 days mortality in nondiabetic patients. However, in nondiabetic patients, on multiple logistic regression analysis, a significant correlation was seen between 90 days month mortality and HbA1c (P = 0.002).Conclusion: HbA1c can be as a predictive biomarker in nondiabetic patients with AIS.
