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Dysphagia in primary progressive aphasia: Clinical predictors and neuroanatomical basis.
Mazzeo, Salvatore; Mulroy, Eoin; Jiang, Jessica; Lassi, Michael; Johnson, Jeremy C S; Hardy, Chris J D; Rohrer, Jonathan D; Warren, Jason D; Volkmer, Anna.
Afiliación
  • Mazzeo S; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Mulroy E; Research and Innovation Centre for Dementia-CRIDEM, University of Florence, Azienda Ospedaliera-Universitaria Careggi, Florence, Italy.
  • Jiang J; Vita-Salute San Raffaele University, Milan, Italy.
  • Lassi M; IRCCS Policlinico San Donato, San Donato Milanese, Italy.
  • Johnson JCS; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Hardy CJD; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Rohrer JD; BioRobotics Institute and Department of Excellence in Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy.
  • Warren JD; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.
  • Volkmer A; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK.
Eur J Neurol ; 31(9): e16370, 2024 Sep.
Article en En | MEDLINE | ID: mdl-39012305
ABSTRACT
BACKGROUND AND

PURPOSE:

Dysphagia is an important feature of neurodegenerative diseases and potentially life-threatening in primary progressive aphasia (PPA) but remains poorly characterized in these syndromes. We hypothesized that dysphagia would be more prevalent in nonfluent/agrammatic variant (nfv)PPA than other PPA syndromes, predicted by accompanying motor features, and associated with atrophy affecting regions implicated in swallowing control.

METHODS:

In a retrospective case-control study at our tertiary referral centre, we recruited 56 patients with PPA (21 nfvPPA, 22 semantic variant [sv]PPA, 13 logopenic variant [lv]PPA). Using a pro forma based on caregiver surveys and clinical records, we documented dysphagia (present/absent) and associated, potentially predictive clinical, cognitive, and behavioural features. These were used to train a machine learning model. Patients' brain magnetic resonance imaging scans were assessed using voxel-based morphometry and region-of-interest analyses comparing differential atrophy profiles associated with dysphagia presence/absence.

RESULTS:

Dysphagia was significantly more prevalent in nfvPPA (43% vs. 5% svPPA and no lvPPA). The machine learning model revealed a hierarchy of features predicting dysphagia in the nfvPPA group, with excellent classification accuracy (90.5%, 95% confidence interval = 77.9-100); the strongest predictor was orofacial apraxia, followed by older age, parkinsonism, more severe behavioural disturbance, and more severe cognitive impairment. Significant grey matter atrophy correlates of dysphagia in nfvPPA were identified in left middle frontal, right superior frontal, and right supramarginal gyri and right caudate.

CONCLUSIONS:

Dysphagia is a common feature of nfvPPA, linked to underlying corticosubcortical network dysfunction. Clinicians should anticipate this symptom particularly in the context of other motor features and more severe disease.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Trastornos de Deglución / Afasia Progresiva Primaria Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Eur J Neurol Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Trastornos de Deglución / Afasia Progresiva Primaria Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Eur J Neurol Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article
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