Literature DB >> 33318164

Neurogenic Dysphagia: Systematic Review and Proposal of a Classification System.

Tobias Warnecke1, Bendix Labeit2, Jens Schroeder2, Alexander Reckels2, Sigrid Ahring2, Sriramya Lapa2, Inga Claus2, Paul Muhle2, Sonja Suntrup-Krueger2, Rainer Dziewas2.   

Abstract

OBJECTIVE: Introduction and validation of a phenotypic classification of neurogenic dysphagia based on flexible endoscopic evaluation of swallowing (FEES).
METHODS: A systematic literature review was conducted, searching MEDLINE from inception to May 2020 for FEES findings in neurologic diseases of interest. Based on a retrospective analysis of FEES videos in neurologic diseases and considering the results from the review, a classification of neurogenic dysphagia was developed distinguishing different phenotypes. The classification was validated using 1,012 randomly selected FEES videos of patients with various neurologic disorders. Chi-square tests were used to compare the distribution of dysphagia phenotypes between the underlying neurologic disorders.
RESULTS: A total of 159 articles were identified, of which 59 were included in the qualitative synthesis. Seven dysphagia phenotypes were identified: (1) "premature bolus spillage" and (2) "delayed swallowing reflex" occurred mainly in stroke, (3) "predominance of residue in the valleculae" was most common in Parkinson disease, (4) "predominance of residue in the piriform sinus" occurred only in myositis, motoneuron disease, and brainstem stroke, (5) "pharyngolaryngeal movement disorder" was found in atypical Parkinsonian syndromes and stroke, (6) "fatigable swallowing weakness" was common in myasthenia gravis, and (7) "complex disorder" with a heterogeneous dysphagia pattern was the leading mechanism in amyotrophic lateral sclerosis. The interrater reliability showed a strong agreement (kappa = 0.84).
CONCLUSION: Neurogenic dysphagia is not a symptom, but a multietiologic syndrome with different phenotypic patterns depending on the underlying disease. Dysphagia phenotypes can facilitate differential diagnosis in patients with dysphagia of unclear etiology.
© 2020 American Academy of Neurology.

Entities:  

Year:  2020        PMID: 33318164     DOI: 10.1212/WNL.0000000000011350

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  6 in total

1.  Detecting myasthenia gravis as a cause of unclear dysphagia with an endoscopic tensilon test.

Authors:  Tobias Warnecke; Sun Im; Bendix Labeit; Olga Zwolinskaya; Sonja Suntrup-Krüger; Stephan Oelenberg; Sigrid Ahring; Matthias Schilling; Sven Meuth; Nico Melzer; Heinz Wiendl; Tobias Ruck; Rainer Dziewas
Journal:  Ther Adv Neurol Disord       Date:  2021-08-11       Impact factor: 6.570

2.  Predicting Poststroke Pneumonia in Patients With Anterior Large Vessel Occlusion: A Prospective, Population-Based Stroke Registry Analysis.

Authors:  Martin A Schaller-Paule; Christian Foerch; Ferdinand O Bohmann; Sriramya Lapa; Björn Misselwitz; Konstantin Kohlhase; Felix Rosenow; Adam Strzelczyk; Laurent M Willems
Journal:  Front Neurol       Date:  2022-02-17       Impact factor: 4.003

Review 3.  Management of dysphagia and gastroparesis in Parkinson's disease in real-world clinical practice - Balancing pharmacological and non-pharmacological approaches.

Authors:  Roongroj Bhidayasiri; Warongporn Phuenpathom; Ai Huey Tan; Valentina Leta; Saisamorn Phumphid; K Ray Chaudhuri; Pramod Kumar Pal
Journal:  Front Aging Neurosci       Date:  2022-08-11       Impact factor: 5.702

4.  Clinical determinants and neural correlates of presbyphagia in community-dwelling older adults.

Authors:  Bendix Labeit; Paul Muhle; Jonas von Itter; Janna Slavik; Andreas Wollbrink; Peter Sporns; Thilo Rusche; Tobias Ruck; Anna Hüsing-Kabar; Reinhold Gellner; Joachim Gross; Rainer Wirth; Inga Claus; Tobias Warnecke; Rainer Dziewas; Sonja Suntrup-Krueger
Journal:  Front Aging Neurosci       Date:  2022-07-28       Impact factor: 5.702

5.  Post-stroke respiratory complications using machine learning with voice features from mobile devices.

Authors:  Hae-Yeon Park; DoGyeom Park; Seungchul Lee; Sun Im; Hye Seon Kang; HyunBum Kim
Journal:  Sci Rep       Date:  2022-10-06       Impact factor: 4.996

Review 6.  Gastrointestinal involvement in Parkinson's disease: pathophysiology, diagnosis, and management.

Authors:  K Del Tredici; W H Jost; T Warnecke; K-H Schäfer; I Claus
Journal:  NPJ Parkinsons Dis       Date:  2022-03-24
  6 in total

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