Evidence map›Paper›PMID 41269662›Full record

ArticleJournal of neural transmission (Vienna, Austria : 1996)2025

Unrevealing the sequence of dysphagia progression in ALS: an event-based, FEES-driven staging approach.

Giammarco Milella, Maria Luisa Fiorella, Vittorio Velucci, Diletta Sciancalepore, Fedele Luisi, Angela Fraddosio, Eustachio D'Errico, Antonella Muroni, Giovanni Defazio

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Article in Journal of neural transmission (Vienna, Austria : 1996), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Giammarco Milella *Department of Translational Biomedicine and Neuroscience, Neurology Unit, University of Bari Aldo Moro, Piazza Giulio Cesare 11, Bari, 70124, Italy.ORCID http://orcid.org/0000-0002-7612-382X
Maria Luisa Fiorella *Department of Translational Biomedicine and Neuroscience, Otolaryngology Unit, University of Bari Aldo Moro, Bari, Italy.
Vittorio VelucciDepartment of Translational Biomedicine and Neuroscience, Neurology Unit, University of Bari Aldo Moro, Piazza Giulio Cesare 11, Bari, 70124, Italy. vittoriovelucci@gmail.com.ORCID https://orcid.org/0009-0003-9040-4884
Diletta SciancaleporeDepartment of Translational Biomedicine and Neuroscience, Otolaryngology Unit, University of Bari Aldo Moro, Bari, Italy.
Fedele LuisiDepartment of Translational Biomedicine and Neuroscience, Neurology Unit, University of Bari Aldo Moro, Piazza Giulio Cesare 11, Bari, 70124, Italy.
Angela FraddosioDepartment of Translational Biomedicine and Neuroscience, Neurology Unit, University of Bari Aldo Moro, Piazza Giulio Cesare 11, Bari, 70124, Italy.
Eustachio D'ErricoDepartment of Translational Biomedicine and Neuroscience, Neurology Unit, University of Bari Aldo Moro, Piazza Giulio Cesare 11, Bari, 70124, Italy.
Antonella MuroniNeurology Unit, University Hospital of Cagliari, Cagliari, Italy.
Giovanni DefazioDepartment of Translational Biomedicine and Neuroscience, Neurology Unit, University of Bari Aldo Moro, Piazza Giulio Cesare 11, Bari, 70124, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysphagia drives morbidity and mortality in amyotrophic lateral sclerosis (ALS), yet staging systems treat it as a binary milestone and do not capture its trajectory. Reports diverge on the earliest abnormality, with some citing cohesive-bolus inefficiency and others thin-liquid impairment. Furthermore, how these findings relate to patient-perceived dysphagia remains unclear. In a prospective cohort, 78 incident ALS patients underwent one or more fiberoptic endoscopic evaluations of swallowing (FEES), yielding 108 assessments. Pharyngeal residue for four consistencies was rated with a validated scale. An event-based model (EBM) inferred the temporal order of abnormalities and defined a five-stage, FEES-based dysphagia staging system (DSS). Construct, convergent, discriminant, and prognostic validity were tested against established measures; responsiveness was assessed in patients with longitudinal FEES. The EBM identified a consistent sequence of swallowing impairment: solids, semisolids, liquids, saliva. Patient-perceived dysphagia occurred in 38% of DSS 1-2 evaluations versus 100% of DSS 3-4. The DSS showed construct validity by distinguishing bulbar- from spinal-onset ALS and convergent validity with the ALSFRS-R bulbar subscore and LMN bulbar score. Discriminant validity was supported by weak, non-significant associations with spinal/respiratory measures. Agreement with King's staging was moderate, and all King's stage IV patients mapped to DSS stages 3-4. The DSS was responsive to change (Stuart-Maxwell χ² = 11.034; p = 0.026). The EBM reconciles prior discrepancies: pathophysiology begins with solids, whereas symptom recognition typically coincides with liquid-phase residue. The FEES-based DSS is reproducible and clinically meaningful for tracking bulbar involvement and identifying higher-risk patients.

Indexed as

ALSAmyotrophic lateral sclerosisDysphagiaEvent-based modelFEESStaging

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