Tobin, W. Oliver

Background and Purpose Previous studies have shown a stroke mimic rate of 9%–31%. We aimed to establish the proportion of stroke mimics amongst suspected acute strokes, to clarify the aetiology of stroke mimic and to develop a prediction model to identify stroke mimics. Methods This was a retrospective cohort observational study. Consecutive “stroke alert” patients were identified over nine months in a primary stroke centre. 31 variables were collected. Final diagnosis was defined as “stroke” or “stroke mimic”. Multivariable regression analysis was used to define clinical predictors of stroke mimic. Results 206 patients were reviewed. 22% were classified as stroke mimics. Multivariable scoring did not help in identification of stroke mimics. 99.5% of patients had a neurological diagnosis at final diagnosis. Discussion 22% of patients with suspected acute stroke had a stroke mimic. The aetiology of stroke mimics was varied, with seizure, encephalopathy, syncope and migraine being commonest. Multivariable scoring for identification of stroke mimics is not feasible. 99.5% of patients had a neurological diagnosis. This strengthens the case for the involvement of stroke neurologists/stroke physicians in acute stroke care.

Background: The spectrum of central nervous system–idiopathic inflammatory demyelinating disease (CNS-IIDD) in the elderly is uncertain. Objective: To describe the clinical, radiological, and pathological features of a cohort of 30 pathologically proven CNS-IIDD patients ⩾65 years. Methods: Elderly multiple sclerosis (MS)/clinically isolated syndrome (CIS) patients were compared to a cohort of 125 patients with pathologically proven MS/CIS and symptom onset <65 years. Results: Median age at symptom onset was 69 years (interquartile range (IQR) = 68–75). Median follow-up was 1.9 years (IQR = 1.0–5.6). Diagnoses were MS (14/30), CIS (11/30), neuromyelitis optica (NMO; 4/30), and acute disseminated encephalomyelitis (ADEM; 1/30). Disability was higher in patients with MS/CIS ⩾65 compared to patients <65 (median Expanded Disability Status Scale (EDSS) 4 (IQR = 2.5–7) vs 2.5 (IQR = 1.5–4); p = 0.002). When compared to patients <65 years, there was no difference in the lesion size, number of patients fulfilling Barkhof’s criteria, edema, or mass effect. Confluent demyelination was observed in 27 patients (MS/CIS (23/25), NMO (4)), 2 had a mixed perivenular/confluent pattern (MS (1), ADEM (1)), and 1 patient with MS had a mixed confluent/perivenular/coalescent pattern. Early active lesions were found in 19/30 patients ((MS (4), CIS (13), NMO (2); 53%). Cortical demyelination was present in 7/12 (58%) patients (MS (3), CIS(3), ADEM (1)). Conclusion: A spectrum of CNS-IIDD can develop in the elderly, with presenting symptoms similar to younger patients. Early diagnosis of CNS demyelinating disease is essential to avoid invasive and disabling procedures.

The availability of magnetic resonance imaging (MRI) has led to increasing recognition that multiple sclerosis (MS), tumefactive demyelination (TD) and Baló’s concentric sclerosis (BCS) share many overlapping features. Baló-like lesions, which exhibit limited features of BCS, may represent an intermediate between BCS and typical MS demyelination. Lesions labeled as tumefactive are typically larger, but otherwise have much in common with conventional MS lesions, and TD and BCS lesions can also overlap. In this article, we explore the similarities between typical MS, TD and BCS cases, and reflect on the potential insights that intermediate or overlapping phenotypes may contribute towards an understanding of MS immunopathogenesis, and question whether these atypical forms of demyelination should be classified as separate demyelinating diseases, as different lesional manifestations of demyelination of any cause or as part of a spectrum with conventional MS.

Background and objectives: We report a comprehensive clinical, radiological, neuropsychometric and pathological evaluation of a woman with a clinical diagnosis of AD dementia (ADem), but whose autopsy demonstrated widespread demyelination, without Alzheimer disease (AD) pathology. Methods and results: Initial neuropsychometric evaluation suggested amnestic mild cognitive impairment (aMCI). Serial magnetic resonance images (MRI) images demonstrated the rate of increase in her ventricular volume was comparable to that of 46 subjects with aMCI who progressed to ADem, without accumulating white matter disease. Myelin immunohistochemistry at autopsy demonstrated extensive cortical subpial demyelination. Subpial lesions involved the upper cortical layers, and often extended through the entire width of the cortex. Conclusions: Multiple sclerosis (MS) can cause severe cortical dysfunction and mimic ADem. Cortical demyelination is not well detected by standard imaging modalities and may not be detected on autopsy without myelin immunohistochemistry.