Tipton, Philip W.

AbstractBackgroundOverlap in the presenting clinical features and test results in patients with rapidly progressive dementia (RPD) confounds the etiologic diagnoses of RPD, contributing to diagnostic delays, missed treatment opportunities, and poorer outcomes. There is a need to improve diagnostic accuracy in patients with RPD, with particular emphasis on identifying patients with potentially treatment‐responsive causes of RPD early in the symptomatic course.MethodPatients with RPD were prospectively enrolled and evaluated in inpatient settings and outpatient subspecialty (memory) clinics at Washington University (Saint Louis, MO; 2016–2019) and Mayo Clinic (Jacksonville, FL; 2020–2021). Etiologic diagnoses were independently assigned by two dementia specialists integrating clinical features and the results of widely accessible diagnostic testing and referencing established diagnostic criteria. Diagnostic disagreements were resolved via blinded review by a third specialist. Clinicopathologic correlation was evaluated using neuropathological and genetic data when available.Result160 patients with RPD were assessed, with average age‐at‐symptom onset 60.0±15.9 years; 50% were female. Diagnostic inter‐rater reliability (91% agreement; Cohen’s κ = 0.88, p<0.001) and clinicopathologic correlation were excellent (100% agreement in 24 patients with neuropathologic or genetic data). Autoimmune encephalitis was the leading cause of RPD (39%), followed by Alzheimer disease and related dementias (29%—i.e., frontotemporal dementia, Lewy body dementia, vascular cognitive impairment), Creutzfeldt‐Jakob disease (15%), and other causes (15%—e.g., neurosarcoid, metabolic disruptions, neoplastic disease). The average age of patients with potentially treatable causes (AE and selected “other” causes; 54.4±18.2) was younger than those with neurodegenerative dementing illnesses (67.3±9.5) or CJD (67.4±7.9; p<0.001). Patients with potentially treatable causes were more likely to present with altered level of consciousness and seizures (p<0.05). CSF pleocytosis (>5 WBC/hpf) was more common in AE patients (p<0.05).ConclusionEtiologic diagnoses can be reliably established in RPD patients using available clinical data. Treatment‐responsive causes of RPD are common warranting consideration, particularly in younger patients with altered consciousness, seizures, and CSF pleocytosis.

AbstractBackgroundSlow walking speed is associated with numerous negative health outcomes including global cognitive decline.1 More detailed gait analysis can differentiate among different dementia subtypes,10 but the predictive power of baseline gait metrics for domain‐specific cognitive decline needs further characterization.MethodWe conducted a follow up study on 534 participants of the Mayo Clinic Study of Aging who underwent evaluations every 15 months (median follow‐up = 5.4 years). We analyzed quantitative gait metrics, acquired with a pressure‐sensing walkway (GAITRite® instrument), and cognitive scores using a linear mixed effects model to identify correlations between z‐scored baseline gait metrics (cadence, swing time, stance time, velocity, double support time (DST), stride length, stride length standard deviation (SD), stride time SD, swing time SD, stance time SD, DST SD) and cognitive domain z‐scores (memory, attention, language, visuospatial, global) at baseline and over time. Models controlled for age, sex, and probable REM sleep behavior disorder at baseline.ResultThe table includes both baseline associations and difference in slopes (Δ), relative to the average person, in cognitive domains. These slopes ranged from about ‐0.05 for visuospatial to ‐0.12 for attention.ConclusionIncreased gait velocity and stride length are associated with less severe domain‐specific and global cognitive decline while increased swing time SD and DST are associated with more severe rates of decline in some domains. These findings suggest that baseline gait characteristics could be a helpful predictor of future cognitive changes.References:1. Savica R, Wennberg AMV, Hagen C, et al. Comparison of Gait Parameters for Predicting Cognitive Decline: The Mayo Clinic Study of Aging. Journal of Alzheimer's disease : JAD. 2017;55(2):559. doi:10.3233/JAD‐1606972. Mc Ardle R, del Din S, Galna B, Thomas A, Rochester L. Differentiating dementia disease subtypes with gait analysis: feasibility of wearable sensors? Gait & Posture. 2020;76:372–376. doi:10.1016/j.gaitpost.2019.12.028

AbstractThe global prevalence of dementia is expected to triple by the year 2050. This impending health care crisis has led to new heights of public awareness and general concern regarding cognitive impairment. Subsequently, clinicians are seeing more and more people presenting with cognitive concerns. It is important that clinicians meet these concerns with a strategy promoting accurate diagnoses. We have diagramed and described a practical approach to cognitive impairment. Through an algorithmic approach, we determine the presence and severity of cognitive impairment, systematically evaluate domains of function, and use this information to determine the next steps in evaluation. We also discuss how to proceed when cognitive impairment is associated with motor abnormalities or rapid progression.

AbstractIntroductionWe examined the temporal sequence of the core features in probable dementia with Lewy bodies (DLB).MethodsIn 488 patients with probable DLB, the onset of each core feature and time to diagnosis was determined for men and women, and a pathologic subgroup (n = 209).ResultsREM sleep behavior disorder (RBD) developed before the other core features in men and women. Men were more likely to have RBD and were diagnosed with probable DLB earlier than women. Visual hallucinations developed after the other core features in men, but in women, they appeared earlier and concurrently with fluctuations and parkinsonism. Women were older and more cognitively impaired at first visit, were less likely to have RBD, more likely to be diagnosed with probable DLB later than men, and more likely to have neocortical tangles.DiscussionAn earlier latency to probable DLB was associated with men, RBD, and Lewy body disease without neocortical tangles.

AbstractBackgroundColony‐stimulating factor‐1 receptor (CSF1R)‐related leukoencephalopathy is a rapidly progressive neurodegenerative disease for which there is currently no cure. Hematopoietic stem cell transplantation (HSCT) has been proposed as a disease‐modifying treatment.ObjectiveThe objective of this study was to determine the effect of HSCT on disease progression.MethodsWe collected all available clinical data from a cohort of 7 patients with CSF1R‐related leukoencephalopathy who underwent HSCT at our institutions. Clinical data included detailed neurological examination by a board‐certified neurologist, serial cognitive screens, formal neuropsychological evaluations, and serial brain magnetic resonance imaging (MRI).ResultsOur patients had an average disease duration of 27.6 months at the time of transplant, and we have 87 months of total posttransplant follow‐up time (median, 11; range, 2–27). One patient died in the periprocedural period. The remaining patients showed a variable response to treatment, with 6 of 7 patients trending toward stabilization on motor examination, cognitive scores, and/or MRI abnormalities, especially with white matter lesion burden.ConclusionsThis is the largest series of patients with CSF1R‐related leukoencephalopathy receiving HSCT. We conclude that HSCT can stabilize the disease in some patients. Variability in patient responsiveness suggests that measures of disease heterogeneity and severity need to be considered when evaluating a patient's candidacy for transplant. HSCT appears to be the first disease‐modifying therapy for CSF1R‐related leukoencephalopathy. This milestone may serve as a foothold toward better understanding the disease's pathomechanism, thus providing new opportunities for better disease‐specific therapies. © 2021 International Parkinson and Movement Disorder Society