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Integration between computational and clinical swallowing in neurogenic oropharyngeal dysphagia

Autores

v. 24 n. 1 (2025)
https://doi.org/10.5354/0719-4692.2025.73503

Resumo

Introduction: neurogenic oropharyngeal dysphagia (NOD) is a common clinical type that requires invasive tests in its diagnosis. Objective: to develop an algorithm to differentiate healthy people from patients with NOD of neurological and neuromuscular causes by integrating clinical variables with features extracted from surface electromyography (sEMG) signals, laryngeal accelerometry (AC) and voice before/after swallowing various consistencies and volumes. Method: case-control study that collected 158 clinical variables and 5080 non-invasive swallowing signals in healthy people and patients with NOD. Statistical analysis, variable reduction and integration were performed using logistic regression models. Results: 80 controls and 86 cases with 88 clinical variables with significant statistical differences, 36 latent variables of sEMG signals, 72 of sEMG and laryngeal AC, and 61 of voice signals before and after swallowing consistencies and volumes. Two background, three findings on physical examination, plus a characteristic of sEMG in the infrahyoid region when drinking water, a characteristic of laryngeal AC in the medio-lateral axis when drinking yogurt, and two changes in sub characteristics of the voice in continuous articulation and in phonation of the vowel A, explain 90.6% of the phenomenon of being a patient with NOD. Conclusions: a model was obtained that integrates clinical variables with characteristics of three sets of signals that allows discriminating healthy patients from patients with NOD. The integration between non-invasive computational swallowing methodologies with clinical variables can improve screening and complement reference tests in oropharyngeal dysphagia.

Palavras-chave:

deglutition, deglutition disorders, nervous system diseases, neuromuscular diseases, computer-assisted signal processing

Biografia do Autor

Juan Suárez-Escudero, Escuela de Ciencias de la Salud, Facultad de Medicina, Universidad Pontificia Bolivariana, Colombia; Facultad de Psicología, Universidad CES, Colombia.

Escuela de Ciencias de la salud, Facultad de Medicina, Universidad Pontificia Bolivariana, Colombia. Facultad de Psicología, Universidad CES, Colombia.

Jorge Sánchez-Múnera, Departamento de Neurología, Facultad de Medicina, Universidad de Antioquia, Colombia.

Departamento de neurología, Facultad de Medicina, Universidad de Antioquia, Colombia

José Bareño-Silva, Facultad de Medicina, Universidad CES, Colombia.

Médico, magister y candidato a doctor en modelación y computación científica. Facultad de medicina, Universidad CES, Colombia

Andrés Orozco-Duque, Facultad de Ingeniería, Universidad de Medellín, Colombia. Facultad de Ciencias Exactas y Aplicadas, Instituto Tecnológico Metropolitano, Colombia.

Facultad de Ingeniería, Universidad de Medellín, Colombia. Facultad de ciencias exactas y aplicadas, Instituto Tecnológico Metropolitano, Colombia

Zulma Rueda-Vallejo, Department of Medical Microbiology and Infectious Diseases, Rady Faculty of Health Sciences, Universidad de Manitoba, Canadá.

Department of Medical Microbiology and Infectious Diseases, Rady Faculty of Health Sciences, Universidad de Manitoba, Canadá

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Suárez-Escudero, J., Sánchez-Múnera, J., Bareño-Silva, J., Orozco-Duque, A., & Rueda-Vallejo, Z. (2025). Integration between computational and clinical swallowing in neurogenic oropharyngeal dysphagia. Revista Chilena De Fonoaudiología, 24(1), 1–14. https://doi.org/10.5354/0719-4692.2025.73503
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Revista Chilena de Fonoaudiología
Facultad de Medicina
Universidad de Chile
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