Literature DB >> 25921226

Identifying bvFTD Within the Wide Spectrum of Late Onset Frontal Lobe Syndrome: A Clinical Approach.

Welmoed A Krudop1, Cora J Kerssens2, Annemiek Dols2, Niels D Prins3, Christiane Möller3, Sigfried Schouws2, Wiesje M van der Flier4, Philip Scheltens3, Sietske Sikkes4, Max L Stek2, Yolande A L Pijnenburg3.   

Abstract

OBJECTIVE: The behavioral variant of frontotemporal dementia (bvFTD) can be difficult to diagnose because of the extensive differential diagnosis, including many other diseases presenting with a frontal lobe syndrome. We aimed to identify the diagnostic spectrum causing a late onset frontal lobe syndrome and examine the quality of commonly used instruments to distinguish between bvFTD and non-bvFTD patients, within this syndrome.
METHODS: A total of 137 patients fulfilling the criteria of late onset frontal lobe syndrome, aged 45 to 75 years, were included in a prospective observational study. Diagnoses were made after clinical and neuropsychological examination, and neuroimaging and cerebral spinal fluid results were taken into account. Baseline characteristics and the scores on the Mini-Mental State Exam (MMSE), frontal assessment battery (FAB), Frontal Behavioral Inventory (FBI), and Stereotypy Rating Inventory (SRI) were compared between the bvFTD and the non-bvFTD group.
RESULTS: Fifty-five (40%) of the patients received a bvFTD diagnosis (33% probable and 7% possible bvFTD). Fifty-one patients (37%) had a psychiatric disorder, including 20 with major depressive disorder. Thirty-one patients received an alternative neurological, including neurodegenerative, diagnosis. MMSE and FAB scores were unspecific for a particular diagnosis. A score above 12 on the positive FBI subscale or a score above 5 on the SRI were indicative of a bvFTD diagnosis.
CONCLUSION: A broad spectrum of both neurological and psychiatric disorders underlies late onset frontal lobe syndrome, of which bvFTD was the most prevalent diagnosis in our cohort. The commonly used MMSE and the FAB could not successfully distinguish between bvFTD and non-bvFTD, but this could be achieved with the more specific FBI and SRI.
Copyright © 2015 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  bvFTD; early diagnosis; frontal lobe syndrome; neurodegenerative disorders; psychiatry

Mesh:

Year:  2015        PMID: 25921226     DOI: 10.1016/j.jagp.2015.04.002

Source DB:  PubMed          Journal:  Am J Geriatr Psychiatry        ISSN: 1064-7481            Impact factor:   4.105


  3 in total

1.  Mapping brain morphological and functional conversion patterns in predementia late-onset bvFTD.

Authors:  Silvia Morbelli; Michela Ferrara; Francesco Fiz; Barbara Dessi; Dario Arnaldi; Agnese Picco; Irene Bossert; Ambra Buschiazzo; Jennifer Accardo; Lorena Picori; Nicola Girtler; Paola Mandich; Marco Pagani; Gianmario Sambuceti; Flavio Nobili
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-03-01       Impact factor: 9.236

Review 2.  Distinguishing Behavioral Variant Frontotemporal Dementia From Primary Psychiatric Disorders: A Review of Recently Published Consensus Recommendations From the Neuropsychiatric International Consortium for Frontotemporal Dementia.

Authors:  Peter S Pressman; Daniel Matlock; Simon Ducharme
Journal:  J Neuropsychiatry Clin Neurosci       Date:  2021-01-14       Impact factor: 2.198

Review 3.  Recommendations to distinguish behavioural variant frontotemporal dementia from psychiatric disorders.

Authors:  Simon Ducharme; Annemiek Dols; Robert Laforce; Emma Devenney; Fiona Kumfor; Jan van den Stock; Caroline Dallaire-Théroux; Harro Seelaar; Flora Gossink; Everard Vijverberg; Edward Huey; Mathieu Vandenbulcke; Mario Masellis; Calvin Trieu; Chiadi Onyike; Paulo Caramelli; Leonardo Cruz de Souza; Alexander Santillo; Maria Landqvist Waldö; Ramon Landin-Romero; Olivier Piguet; Wendy Kelso; Dhamidhu Eratne; Dennis Velakoulis; Manabu Ikeda; David Perry; Peter Pressman; Bradley Boeve; Rik Vandenberghe; Mario Mendez; Carole Azuar; Richard Levy; Isabelle Le Ber; Sandra Baez; Alan Lerner; Ratnavalli Ellajosyula; Florence Pasquier; Daniela Galimberti; Elio Scarpini; John van Swieten; Michael Hornberger; Howard Rosen; John Hodges; Janine Diehl-Schmid; Yolande Pijnenburg
Journal:  Brain       Date:  2020-06-01       Impact factor: 13.501

  3 in total

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