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To the Editor: The study by Dwivedi and colleagues (Oct. 26 issue) 1 on the efficacy of surgery in children with drug-resistant epilepsy includes more patients than either of the two previous randomized, controlled trials of epilepsy surgery. Also, it covers the whole pediatric age span and includes diverse surgical procedures. 2,3 However, we have a concern related to the report of serious adverse events in 33% of the patients in the surgery group. Usually, major unexpected complications are reported in less than 5% of the patients in studies of epilepsy surgery. 4,5 The explanation is probably that expected adverse events (e.g., the . . .

Various biomarkers are available to support the diagnosis of neurodegenerative diseases in clinical and research settings. Among the molecular imaging biomarkers, amyloid-PET, which assesses brain amyloid deposition, and 18F-fluorodeoxyglucose (18F-FDG) PET, which assesses glucose metabolism, provide valuable and complementary information. However, uncertainty remains regarding the optimal timepoint, combination, and an order in which these PET biomarkers should be used in diagnostic evaluations because conclusive evidence is missing. Following an expert panel discussion, we reached an agreement on the specific use of the individual biomarkers, based on available evidence and clinical expertise. We propose a diagnostic algorithm with optimal timepoints for these PET biomarkers, also taking into account evidence from other biomarkers, for early and differential diagnosis of neurodegenerative diseases that can lead to dementia. We propose three main diagnostic pathways with distinct biomarker sequences, in which amyloid-PET and 18F-FDG-PET are placed at different positions in the order of diagnostic evaluations, depending on clinical presentation. We hope that this algorithm can support diagnostic decision making in specialist clinical settings with access to these biomarkers and might stimulate further research towards optimal diagnostic strategies.

High-efficacy therapies in multiple sclerosis are traditionally used after unsuccessful treatment with first-line disease modifying therapies. We hypothesised that early commencement of high-efficacy therapy would be associated with reduced long-term disability. We therefore aimed to compare long-term disability outcomes between patients who started high-efficacy therapies within 2 years of disease onset with those who started 4–6 years after disease onset. In this retrospective international observational study, we obtained data from the MSBase registry and the Swedish MS registry, which prospectively collect patient data that are specific to multiple sclerosis as part of routine clinical care. We identified adult patients (aged ≥18 years) with relapsing-remitting multiple sclerosis, with at least 6 years of follow-up since disease onset, and who started the high-efficacy therapy (rituximab, ocrelizumab, mitoxantrone, alemtuzumab, or natalizumab) either 0–2 years (early) or 4–6 years (late) after clinical disease onset. We matched patients in the early and late groups using propensity scores calculated on the basis of their baseline clinical and demographic data. The primary outcome was disability, measured with the Expanded Disability Status Score (EDSS; an ordinal scale of 0–10, with higher scores indicating increased disability), at 6–10 years after disease onset, assessed with a linear mixed-effects model. We identified 6149 patients in the MSBase registry who had been given high-efficacy therapy, with data collected between Jan 1, 1975, and April 13, 2017, and 2626 patients in the Swedish MS Registry, with data collected between Dec 10, 1997, and Sept 16, 2019. Of whom, 308 in the MSBase registry and 236 in the Swedish MS registry were eligible for inclusion. 277 (51%) of 544 patients commenced therapy early and 267 (49%) commenced therapy late. For the primary analysis, we matched 213 patients in the early treatment group with 253 in the late treatment group. At baseline, the mean EDSS score was 2·2 (SD 1·2) in the early group and 2·1 (SD 1·2) in the late group. Median follow-up time for matched patients was 7·8 years (IQR 6·7–8·9). In the sixth year after disease onset, the mean EDSS score was 2·2 (SD 1·6) in the early group compared with 2·9 (SD 1·8) in the late group (p<0·0001). This difference persisted throughout each year of follow-up until the tenth year after disease onset (mean EDSS score 2·3 [SD 1·8] vs 3·5 [SD 2·1]; p<0·0001), with a difference between groups of −0·98 (95% CI −1·51 to −0·45; p<0·0001, adjusted for proportion of time on any disease-modifying therapy) across the 6–10 year follow-up period. High-efficacy therapy commenced within 2 years of disease onset is associated with less disability after 6–10 years than when commenced later in the disease course. This finding can inform decisions regarding optimal sequence and timing of multiple sclerosis therapy. National Health and Medical Research Council Australia and MS Society UK.

To investigate the incidence and number of occupational gaps 5years after stroke and find possible predictors and explanatory factors for increased number of experienced gaps.The participants were diagnosed with first-time stroke in Gothenburg during 2009-2010. Medical records from their hospital stay were used to obtain baseline data. The Occupational Gaps Questionnaire and the Swedish stroke registers follow-up questionnaire were sent out. Data from the Occupational Gaps Questionnaire were used as a dependent variable and baseline data and questions from the stroke registry were used as independent variables in logistic regression.Five years poststroke, 49.5% experienced a higher number of occupational gaps compared to a healthy reference population. Predictors for an increased number of gaps were higher age at stroke onset and a higher degree of functional dependency. Explanatory factors for an increased number of gaps in the study population were higher age at follow-up and feelings of depression.Older age at the time of stroke and functional dependency can predict an increased number of occupational gaps. Older age and feelings of depression are connected to an increased number of occupational gaps. Individuals at risk should be provided with additional interventions to reduce participation restrictions.

Up-to-date estimates of stroke burden and attributable risks and their trends at global, regional, and national levels are essential for evidence-based health care, prevention, and resource allocation planning. We aimed to provide such estimates for the period 1990–2021. We estimated incidence, prevalence, death, and disability-adjusted life-year (DALY) counts and age-standardised rates per 100 000 people per year for overall stroke, ischaemic stroke, intracerebral haemorrhage, and subarachnoid haemorrhage, for 204 countries and territories from 1990 to 2021. We also calculated burden of stroke attributable to 23 risk factors and six risk clusters (air pollution, tobacco smoking, behavioural, dietary, environmental, and metabolic risks) at the global and regional levels (21 GBD regions and Socio-demographic Index [SDI] quintiles), using the standard GBD methodology. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. In 2021, stroke was the third most common GBD level 3 cause of death (7·3 million [95% UI 6·6–7·8] deaths; 10·7% [9·8–11·3] of all deaths) after ischaemic heart disease and COVID-19, and the fourth most common cause of DALYs (160·5 million [147·8–171·6] DALYs; 5·6% [5·0–6·1] of all DALYs). In 2021, there were 93·8 million (89·0–99·3) prevalent and 11·9 million (10·7–13·2) incident strokes. We found disparities in stroke burden and risk factors by GBD region, country or territory, and SDI, as well as a stagnation in the reduction of incidence from 2015 onwards, and even some increases in the stroke incidence, death, prevalence, and DALY rates in southeast Asia, east Asia, and Oceania, countries with lower SDI, and people younger than 70 years. Globally, ischaemic stroke constituted 65·3% (62·4–67·7), intracerebral haemorrhage constituted 28·8% (28·3–28·8), and subarachnoid haemorrhage constituted 5·8% (5·7–6·0) of incident strokes. There were substantial increases in DALYs attributable to high BMI (88·2% [53·4–117·7]), high ambient temperature (72·4% [51·1 to 179·5]), high fasting plasma glucose (32·1% [26·7–38·1]), diet high in sugar-sweetened beverages (23·4% [12·7–35·7]), low physical activity (11·3% [1·8–34·9]), high systolic blood pressure (6·7% [2·5–11·6]), lead exposure (6·5% [4·5–11·2]), and diet low in omega-6 polyunsaturated fatty acids (5·3% [0·5–10·5]). Stroke burden has increased from 1990 to 2021, and the contribution of several risk factors has also increased. Effective, accessible, and affordable measures to improve stroke surveillance, prevention (with the emphasis on blood pressure, lifestyle, and environmental factors), acute care, and rehabilitation need to be urgently implemented across all countries to reduce stroke burden. Bill & Melinda Gates Foundation.

Deposition of tau aggregates is a pathological hallmark of Alzheimer's disease that is closely linked both spatially and temporally to emergence of neurodegeneration and manifestation of clinical symptoms. There is an urgent need for accurate PET, CSF, and plasma biomarkers of tau pathology to improve the diagnostic process in clinical practice and the selection of participants and monitoring of treatment effects in trials. Innovative second-generation tau-PET tracers with high affinity and selectivity to tau pathology in Alzheimer's disease have enabled detection of tau pathology in medial temporal lobe subregions that are affected in the earliest disease stages. Furthermore, novel but common tau spreading subtypes have been discovered using tau-PET, suggesting much greater interindividual differences in the distribution of tau pathology across the brain than previously assumed. In the CSF biomarker field, novel phosphorylated tau (p-tau) assays have been introduced that better reflect tau tangle load than established CSF biomarkers of tau pathology. The advent of cost-effective and accessible blood-based biomarkers for tau pathophysiology (ie, p-tau181, p-tau217, and p-tau231) might transform the Alzheimer's disease field, as these biomarkers correlate with post-mortem Alzheimer's disease pathology, differentiate Alzheimer's disease from other types of dementia, and predict future progression from normal cognition and mild cognitive impairment to Alzheimer's disease. In controlled investigational settings, improvements in tau-PET and biofluid p-tau markers have led to earlier disease detection, more accurate diagnostic methods, and refinement of prognosis. The anti-tau therapy landscape is rapidly evolving, with multiple ongoing phase 1 and 2 trials of post-translational modification of tau, tau immunotherapy, tau aggregation inhibitors, and targeting production of tau and reduction of intracellular tau levels. Neuroimaging and biofluid tau markers hold potential for optimising such clinical trials by augmenting participant selection, providing evidence of target engagement, and monitoring treatment efficacy. Major challenges to overcome are the high cost of tau-PET, partial sensitivity to detect early-stage Alzheimer's disease pathology, and off-target tracer binding. Prospective validation studies of biofluid p-tau markers are needed, and assay-related preanalytical and analytical factors need further refinement. Future studies should focus on demonstrating the diagnostic and prognostic accuracy of tau biomarkers—blood-based markers in particular—in non-tertiary settings, such as primary care, which is characterised by a diverse population with medical comorbidities. Large-scale head-to-head studies are needed across different stages of Alzheimer's disease to determine which tau biomarker is optimal in various clinical scenarios, such as early diagnosis, differential diagnosis, and prognosis, and for aspects of clinical trial design, such as proving target engagement, optimising participant selection, and refining monitoring of treatment effects.

CSF and PET biomarkers of amyloid β and tau accurately detect Alzheimer's disease pathology, but the invasiveness, high cost, and poor availability of these detection methods restrict their widespread use as clinical diagnostic tools. CSF tau phosphorylated at threonine 181 (p-tau181) is a highly specific biomarker for Alzheimer's disease pathology. We aimed to assess whether blood p-tau181 could be used as a biomarker for Alzheimer's disease and for prediction of cognitive decline and hippocampal atrophy. We developed and validated an ultrasensitive blood immunoassay for p-tau181. Assay performance was evaluated in four clinic-based prospective cohorts. The discovery cohort comprised patients with Alzheimer's disease and age-matched controls. Two validation cohorts (TRIAD and BioFINDER-2) included cognitively unimpaired older adults (mean age 63–69 years), participants with mild cognitive impairment (MCI), Alzheimer's disease, and frontotemporal dementia. In addition, TRIAD included healthy young adults (mean age 23 years) and BioFINDER-2 included patients with other neurodegenerative disorders. The primary care cohort, which recruited participants in Montreal, Canada, comprised control participants from the community without a diagnosis of a neurological condition and patients referred from primary care physicians of the Canadian National Health Service for specialist care. Concentrations of plasma p-tau181 were compared with established CSF and PET biomarkers and longitudinal measurements using Spearman correlation, area under the curve (AUC), and linear regression analyses. We studied 37 individuals in the discovery cohort, 226 in the first validation cohort (TRIAD), 763 in the second validation cohort (BioFINDER-2), and 105 in the primary care cohort (n=1131 individuals). In all cohorts, plasma p-tau181 showed gradual increases along the Alzheimer's disease continuum, from the lowest concentrations in amyloid β-negative young adults and cognitively unimpaired older adults, through higher concentrations in the amyloid β-positive cognitively unimpaired older adults and MCI groups, to the highest concentrations in the amyloid β-positive MCI and Alzheimer's disease groups (p<0·001, Alzheimer's disease vs all other groups). Plasma p-tau181 distinguished Alzheimer's disease dementia from amyloid β-negative young adults (AUC=99·40%) and cognitively unimpaired older adults (AUC=90·21–98·24% across cohorts), as well as other neurodegenerative disorders, including frontotemporal dementia (AUC=82·76–100% across cohorts), vascular dementia (AUC=92·13%), progressive supranuclear palsy or corticobasal syndrome (AUC=88·47%), and Parkinson's disease or multiple systems atrophy (AUC=81·90%). Plasma p-tau181 was associated with PET-measured cerebral tau (AUC=83·08–93·11% across cohorts) and amyloid β (AUC=76·14–88·09% across cohorts) pathologies, and 1-year cognitive decline (p=0·0015) and hippocampal atrophy (p=0·015). In the primary care cohort, plasma p-tau181 discriminated Alzheimer's disease from young adults (AUC=100%) and cognitively unimpaired older adults (AUC=84·44%), but not from MCI (AUC=55·00%). Blood p-tau181 can predict tau and amyloid β pathologies, differentiate Alzheimer's disease from other neurodegenerative disorders, and identify Alzheimer's disease across the clinical continuum. Blood p-tau181 could be used as a simple, accessible, and scalable test for screening and diagnosis of Alzheimer's disease. Alzheimer Drug Discovery Foundation, European Research Council, Swedish Research Council, Swedish Alzheimer Foundation, Swedish Dementia Foundation, Alzheimer Society Research Program.

In the management of Parkinson's disease, reliable diagnostic and prognostic biomarkers are urgently needed. The diagnosis of Parkinson's disease mostly relies on clinical symptoms, which hampers the detection of the earliest phases of the disease—the time at which treatment with forthcoming disease-modifying drugs could have the greatest therapeutic effect. Reliable prognostic markers could help in predicting the response to treatments. Evidence suggests potential diagnostic and prognostic value of CSF and blood biomarkers closely reflecting the pathophysiology of Parkinson's disease, such as α-synuclein species, lysosomal enzymes, markers of amyloid and tau pathology, and neurofilament light chain. A combination of multiple CSF biomarkers has emerged as an accurate diagnostic and prognostic model. With respect to early diagnosis, the measurement of CSF α-synuclein aggregates is providing encouraging preliminary results. Blood α-synuclein species and neurofilament light chain are also under investigation because they would provide a non-invasive tool, both for early and differential diagnosis of Parkinson's disease versus atypical parkinsonian disorders, and for disease monitoring. In view of adopting CSF and blood biomarkers for improving Parkinson's disease diagnostic and prognostic accuracy, further validation in large independent cohorts is needed.

Background : To rise from a sitting to a standing position and to sit down again are categorized as basic transitional movements, and are performed approximately 50 times a day. The sit-to-stand test (STS test) evaluates strength in lower extremities, neuromuscular functions, balance and vestibular function. There are several versions of the test; two examples of these are the 5STS and 10STS tests. For people with multiple sclerosis (MS), only the 5STS test has been validated. A potential difference between the 5STS and 10STS test can be that more repetitions require more muscular endurance and, thus, the 10STS test will reveal impaired muscular endurance more than the 5STS test. Aim : The aim was to evaluate the validity for the 5STS and 10STS tests for people with moderate MS. Methods : Forty-seven people with MS with a limited (<200 m) but remaining (>20 m) walking ability were included (32 women; 30 secondary and 12 primary progressive MS). The STS tests were slightly modified for safety reasons; instead of crossing arms over the chest, hand support was allowed. Time was taken from the starting position sitting using the command ‘Go’ and stopped when the participant sat down again after completing the 10th standing position. An intermediate time was taken when sitting down after the fifth standing position (5STS test). Validity was evaluated using the timed up and go test (TUG), 10 minute walk test (10MWT), 2 minute walk test (2MWT) and the Berg balance scale (BBS); calculated using Spearman’s rank correlation. Correlations exceeding 0.60 were considered strong. Results : Strong correlations (r=0.60–0.70) were found between the 5STS and 10STS test and the TUG, the 10 MWT, the 2MWT and the BBS. The correlation between the 5STS and 10STS test (r=0.86) indicates that the tests measure slightly different abilities. A slightly stronger correlation was found between the 5STS and BBS (r=−0.68) compared to the 10STS and BBS (r=−0.61). The correlations were stronger between the 10STS and the walk tests compared to the 5STS and walk tests. The high correlation between the 10STS and the 2MWT (r=0.70) can possibly be explained by a muscular endurance component. Conclusion : Both the 5STS and 10STS test are valid for people with moderate MS but they do not measure the exact same ability