Frontotemporal dementia (FTD) is a progressive decline of cognitive abilities associated with other neuropsychiatric comorbidities. A real-world data (RWD) analysis of a large electronic healthcare records (EHR) database identified the comorbidities of FTD. Deidentified EHRs in the TriNetX Network database from >155,000,000 individuals in the United States established an FTD Cohort (ICD-10 Code G31.0) of adult patients who visited a healthcare provider in 2022. The non-FTD cohort were age-matched individuals who had not received a diagnosis of ICD-10 Code G31.0, and who had visited a healthcare provider in 2022. The median age of both cohorts was 73 years. A comparative analysis was performed between the FTD and non-FTD cohorts. There were 6660 individuals (aged ≥18) with FTD and 11,810,060 individuals (aged ≥63) without a diagnosis of FTD, with healthcare visits in 2022. There were 25 ICD-10 Codes for disorders that were present in >10% of FTD patients, with a Relative Risk (RR) of ≥2.0 compared the non-FTD cohort. Multiple neuropsychiatric disorders had RRs ≥ 2.0, with minimal evidence for significant involvement of other organ systems. These data document that FTD, as known previously, is associated with multiple neuropsychiatric comorbidities. There was minimal evidence of comorbid involvement of other organ systems. These data provide a baseline of general FTD symptoms for the rapidly evolving analysis of genetic subvariants of FTD. These data also provide insights into the clinical management of FTD, as well as recommendations for specific endpoints in clinical trials.
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http://dx.doi.org/10.1016/j.jns.2024.122926 | DOI Listing |
Neuroradiol J
January 2025
Department of Medical Physics, Faculty of Medicine, Mashhad University of Medical Sciences, Iran.
Introduction: The prevalence of neurodegenerative diseases has significantly increased, necessitating a deeper understanding of their symptoms, diagnostic processes, and prevention strategies. Frontotemporal dementia (FTD) and Alzheimer's disease (AD) are two prominent neurodegenerative conditions that present diagnostic challenges due to overlapping symptoms. To address these challenges, experts utilize a range of imaging techniques, including magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI), positron emission tomography (PET), and single-photon emission computed tomography (SPECT).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Neurology Department Infanta Leonor Hospital, Madrid, Spain.
Background: biomarkers are essential in order to make a diagnosis with a high level of accuracy in patients with cognitive and behavior complaints. However, molecular imaging biomarkers not always provide an answer in daily clinical practice.
Methods: retrospective and descriptive study in patients with Amyloid PET (APscans) implemented according to rational use of this technic, between January 2019-November 2023 in Neurology Department, Infanta Leonor Hospital, Madrid, Spain.
Background: Neurofilament light chain (NfL) is a fluid biomarker of axonal damage reported to be elevated in cases with dementia, and particularly in FTD. In this study we evaluate the performance of a recently developed NfL assay to be analyzed through the Lumipulse chemiluminescent platform, which is frequently available in clinical settings for the study of AD core biomarkers.
Method: We evaluated CSF NfL levels using the Lumipulse G600II platform (Fujirebio, Iberia) in 70 cases, including 33 patients with AD (supported by CSF biomarkers consistent with an A+T+(N)+ classification scheme), 26 with confirmed FTD (typical phenotype and CSF with a A-T- profile), and 11 controls.
Alzheimers Dement
December 2024
Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Background: The nuclear clearance and cytoplasmic aggregation of splicing repressor TAR DNA/RNA-binding protein-43 (TDP-43) occur in approximately 50% of Alzheimer's disease (AD) cases and about 45% of frontotemporal dementia (FTD). However, it is not clear how early such mechanism occurs in AD and FTD as there is no method of detecting TDP-43 dysregulation in living individuals. Since the loss of nuclear TDP-43 leads to cryptic exon inclusion, we propose that cryptic exon-encoded peptides may be detected in patient biofluids as biomarkers of TDP-43 loss of function.
View Article and Find Full Text PDFBackground: Clinical diagnosis of frontotemporal dementia (FTD) can be challenging, requiring an accurate tool dedicated to this diagnostic hurdle. Since FTD exhibits distinct regional atrophy patterns on magnetic resonance imaging (MRI), AI-aided automated brain volume analysis could enhance the clinical diagnostic assessment of FTD, including the detection of the disease and the classification of subtypes, which encompass behavioral variant (BV), semantic variant (SV), and progressive non-fluent aphasia (PNFA). In this study, we leverage automated brain volumetry software to approach both FTD detection and the differential diagnosis among its subtypes.
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