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1.
Epilepsia ; 65(8): e141-e147, 2024 Aug.
Article in English | MEDLINE | ID: mdl-38888914

ABSTRACT

Research on cerebrovascular events in atrial fibrillation (AF) patients taking non-vitamin K antagonist oral anticoagulants (NOACs) with antiseizure medications (ASMs) is limited, highlighting a significant gap in literature. We assessed thrombotic and hemorrhagic risks in patients on NOACs and ASMs versus those on NOACs or ASMs alone. We analyzed a retrospective cohort from five centers, including AF and epilepsy patients on both medications (n = 188), AF patients on NOACs (n = 298), and epilepsy patients on ASMs (n = 50), with a 3-year follow-up. Propensity score matching adjusted for cardiovascular risk differences. The primary outcomes were ischemic stroke, transient ischemic attack, and major bleeding. Results showed the ASM+NOAC group had a higher risk of primary outcomes compared to the NOAC-only group (5.68% vs. 1.18%, hazard ratio = 5.72, 95% confidence interval = 2.22-14.73), with no events in the ASM-only group. This suggests an increased risk for patients on combined NOAC and ASM therapy, underlining the need for careful drug interaction consideration.


Subject(s)
Anticoagulants , Anticonvulsants , Atrial Fibrillation , Epilepsy , Propensity Score , Humans , Anticoagulants/adverse effects , Anticoagulants/administration & dosage , Anticoagulants/therapeutic use , Male , Female , Aged , Anticonvulsants/therapeutic use , Anticonvulsants/administration & dosage , Anticonvulsants/adverse effects , Middle Aged , Atrial Fibrillation/drug therapy , Atrial Fibrillation/complications , Retrospective Studies , Cohort Studies , Epilepsy/drug therapy , Administration, Oral , Treatment Outcome , Drug Therapy, Combination , Aged, 80 and over , Hemorrhage/chemically induced , Drug Interactions , Ischemic Stroke/drug therapy
2.
Neurol Sci ; 45(8): 3791-3798, 2024 Aug.
Article in English | MEDLINE | ID: mdl-38499888

ABSTRACT

BACKGROUND: Olfactory dysfunction is a non-motor symptom and an important biomarker of Parkinson's disease (PD) because of its high prevalence (> 90%). Whether hyposmia correlates with motor symptoms is unclear. In the present study, we aim to investigate the relationship between olfactory impairment with both motor and non-motor features and disease variables (disease duration, stage, and severity). METHODS: One-hundred fifty-four PD patients were evaluated. Odor identification ability was tested using Italian Olfactory Identification Test (IOIT). A comprehensive spectrum of motor and non-motor features was assessed. Cognitive function was investigated through MMSE. Patients were divided into 3 different clinical phenotypes using UPDRS-III: tremor-dominant type (TDT), akinetic-rigid type (ART), and mixed type (MXT). RESULTS: Three of the 33 IOIT items were most frequently misidentified: basil (74.3%), coffee (66.9%), and mushroom (59.6%). Hyposmia was found in 93%. Hyposmic patients were older than controls (p = 0.01). Hoehn & Yahr (H&Y) score of 2 or greater was associated with higher probability of being hyposmic (OR = 5.2, p = 0.01). IOIT score did not significantly differ between TDT, ART, and MXT of analyzed PD patients. Performance to IOIT inversely correlated with age (p < 0.01), disease duration (p = 0.01), and H&Y score of 2 or higher (p < 0.01). Clinical features that associated with higher IOIT score were freezing of gait (FOG) (p < 0.001) and camptocormia (p < 0.05). CONCLUSIONS: In our cohort, IOIT scores showed a positive correlation with axial motor signs, but not with non-motor symptoms. IOIT may be a useful tool not only for supporting PD diagnosis but also for providing prognostic information about motor function.


Subject(s)
Gait Disorders, Neurologic , Parkinson Disease , Humans , Parkinson Disease/complications , Parkinson Disease/diagnosis , Parkinson Disease/physiopathology , Male , Female , Aged , Italy/epidemiology , Middle Aged , Gait Disorders, Neurologic/diagnosis , Gait Disorders, Neurologic/etiology , Gait Disorders, Neurologic/physiopathology , Anosmia/etiology , Anosmia/diagnosis , Anosmia/physiopathology , Olfaction Disorders/etiology , Olfaction Disorders/diagnosis , Olfaction Disorders/physiopathology , Severity of Illness Index
3.
Alzheimers Dement ; 20(4): 2444-2452, 2024 04.
Article in English | MEDLINE | ID: mdl-38323747

ABSTRACT

INTRODUCTION: Lewy body disease, a frequently observed co-pathology in Alzheimer's disease (AD), can be identified antemortem in cerebrospinal fluid (CSF) by α-synuclein seed amplification assay (αS-SAA). The prevalence and clinical impact of CSF αS-SAA positivity in AD are still unknown. METHODS: αS-SAA was performed on CSF samples from 240 AD patients (preclinical, prodromal, and dementia stages), 85 controls, 84 patients with Parkinson's disease (PD), and 21 patients with PD with dementia or dementia with Lewy bodies. In AD patients, associations between αS-SAA positivity and cognitive changes were also evaluated. RESULTS: In agreement with available neuropathological studies, αS-SAA positivity was observed in 30% of AD patients (vs 9% in controls), and was associated with cognitive decline, visuospatial impairment, and behavioral disturbances. DISCUSSION: αS-SAA positivity in AD patients reflects the prevalence observed in neuropathological series and is associated with a worse clinical outcome. These data confirm the validity of CSF αS-SAA positivity as biomarker of synucleinopathy.


Subject(s)
Alzheimer Disease , Lewy Body Disease , Parkinson Disease , Synucleinopathies , Humans , alpha-Synuclein/cerebrospinal fluid , Alzheimer Disease/cerebrospinal fluid , Lewy Body Disease/cerebrospinal fluid , Parkinson Disease/cerebrospinal fluid , Biomarkers/cerebrospinal fluid , tau Proteins/cerebrospinal fluid , Amyloid beta-Peptides/cerebrospinal fluid
4.
Alzheimers Dement ; 20(4): 2453-2468, 2024 04.
Article in English | MEDLINE | ID: mdl-38323780

ABSTRACT

INTRODUCTION: For routine clinical implementation of Alzheimer's disease (AD) plasma biomarkers, fully automated random-access platforms are crucial to ensure reproducible measurements. We aimed to perform an analytical validation and to establish cutoffs for AD plasma biomarkers measured with Lumipulse. METHODS: Two cohorts were included. UNIPG: n = 450 paired cerebrospinal fluid (CSF)/plasma samples from subjects along the AD-continuum, subjects affected by other neurodegenerative diseases, and controls with known CSF profile; AMS: n = 40 plasma samples from AD and n = 40 controls. Plasma amyloid ß (Aß)42, Aß40, and p-tau181 were measured with Lumipulse. We evaluated analytical and diagnostic performance. RESULTS: Lumipulse assays showed high analytical performance. Plasma p-tau181 levels accurately reflected CSF A+/T+ profile in AD-dementia and mild cognitive impairment (MCI)-AD, but not in asymptomatic-AD. Plasma and CSF Aß42/40 values were concordant across clinical AD stages. Cutoffs and probability-based models performed satisfactorily in both cohorts. DISCUSSION: The identified cutoffs and probability-based models represent a significant step toward plasma AD molecular diagnosis.


Subject(s)
Alzheimer Disease , Cognitive Dysfunction , Humans , Alzheimer Disease/diagnosis , Alzheimer Disease/cerebrospinal fluid , Amyloid beta-Peptides/cerebrospinal fluid , tau Proteins/cerebrospinal fluid , Cognitive Dysfunction/diagnosis , Biomarkers/cerebrospinal fluid
5.
J Alzheimers Dis ; 98(4): 1533-1542, 2024.
Article in English | MEDLINE | ID: mdl-38607757

ABSTRACT

Background: Dementia is prevalent among the elderly, also representing a risk for seizures/epilepsy. Estimations of epilepsy risk in dementia patients are not widely available. Objective: Our research aims to ascertain the incidence of epilepsy and its associated risk factors in subjects with dementia in the Umbria region, based on data from healthcare databases. Methods: In this retrospective study based on the healthcare administrative database of Umbria, we identified all patients diagnosed with dementia from 2013 to 2017, based on ICD-9-CM codes. For epilepsy ascertainment, we used a validated algorithm that required an EEG and the prescription of one or more anti-seizure medications post-dementia diagnosis. A case-control analysis was conducted, matching five non-dementia subjects by gender and age to each dementia patient. Cox proportional hazards models were then utilized in the analysis. Results: We identified 7,314 dementia cases, also including 35,280 age- and sex-matched control subjects. Out of patients with dementia, 148 individuals (2.02%) were diagnosed with epilepsy. We observed a progressive increase in the cumulative incidence of seizures over time, registering 1.45% in the first year following the diagnosis, and rising to 1.96% after three years. Analysis using Cox regression revealed a significant association between the development of epilepsy and dementia (HR = 4.58, 95% CI = 3.67-5.72). Additional risk factors were male gender (HR = 1.35, 95% CI = 1.07-1.69) and a younger age at dementia onset (HR = 1.03, 95% CI=1.02-1.04). Conclusions: Dementia increases epilepsy risk, especially with early onset and male gender. Clinicians should have a low threshold to suspect seizures in dementia cases.


Subject(s)
Dementia , Epilepsy , Humans , Male , Aged , Female , Incidence , Retrospective Studies , Epilepsy/epidemiology , Epilepsy/etiology , Risk Factors , Dementia/epidemiology , Dementia/complications , Delivery of Health Care
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