https://ogma.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Predicting post-surgical outcomes in idiopathic normal pressure hydrocephalus using clinically important changes from the cerebrospinal fluid tap test https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55239 Wed 01 May 2024 15:42:09 AEST ]]> Urban-rural differences in the care and outcomes of acute stroke patients: systematic review https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47676 Tue 24 Jan 2023 16:08:37 AEDT ]]> MR myelin imaging in multiple sclerosis: A scoping review https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54334 Tue 20 Feb 2024 16:06:06 AEDT ]]> Predictors of relapse and disability progression in MS patients who discontinue disease-modifying therapy https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41240 Sat 30 Jul 2022 12:19:30 AEST ]]> Increasing age at disability milestones among MS patients in the MSBase Registry https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28467 Sat 24 Mar 2018 07:39:33 AEDT ]]> Hemoglobin A1C is independently associated with severity and prognosis of brainstem infarctions https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25698 Sat 24 Mar 2018 07:28:20 AEDT ]]> Evaluation of MS related central fatigue using MR neuroimaging methods: scoping review https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47726 Fri 24 Feb 2023 14:56:06 AEDT ]]> Serum cholesterol, body mass index and smoking status do not predict long-term cognitive impairment in elderly stroke patients https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46137 n = 149). Assessments occurred at 20 months post-stroke, using the Mini Mental State Examination and serum blood levels of cholesterol, low density lipoprotein, high density lipoprotein and serum triglycerides. Results: Hierarchical linear regression showed that only acute functional impairment significantly contributed to long-term cognitive impairment in stroke survivors. Only 12% of the sample showed healthy cholesterol levels while the remaining patients showed borderline or high cholesterol levels. In terms of BMI, only 2% of the sample were underweight, 38% were within healthy range and 26% were overweight/obese. Only eight women and four men were smokers, therefore our sample of smokers was likely too small to detect any differences between smokers and non-smokers in regard to cognitive outcomes. Conclusion: Serum cholesterol, low density lipoprotein, high density lipoprotein, serum triglycerides, BMI or smoking status did not influence cognitive outcomes in older stroke surviving individuals. These findings suggest that modification of these factors may not influence cognitive outcomes in stroke-surviving individuals however should be interpreted as preliminary given limitations in the current study.]]> Fri 11 Nov 2022 16:31:53 AEDT ]]>