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Clinical Predictors of Speaking Valve Use in Neurological Patients: A Retrospective Cohort Study
Matías Otto-Yáñez1, Gonzalo Monge-Martínez2,3, Rodrigo Torres-Castro4
1Grupo de Investigación en Salud, Funcionalidad y Actividad Física (GISFAF), Kinesiología, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Santiago, Chile.
None:
IntroductionSpeaking valves (SVs) restore phonation and may support airway protection in people with a tracheostomy, yet tolerance varies widely in neurological rehabilitation. We aimed to identify clinical factors associated with SV use and duration in a neurological rehabilitation setting.MethodsWe retrospectively analyzed 117 adults with neurological conditions and tracheostomy admitted to a rehabilitation center. Two internally validated multivariable models were developed: logistic regression for SV use (yes/no) and a quasi-Poisson regression for target daytime SV duration (hours/day), using routinely available bedside clinical variables.ResultsOf 117 patients, 64 (54.7%) used an SV during hospitalization. In the multivariable logistic model, higher level of consciousness (eMCS vs VS/MCS; OR 6.26, 95% CI 1.53-23.14), a positive blue dye test (OR 0.05, 95% CI 0.01-0.30), and endotracheal suction requirement (vs spontaneous cough; OR 0.07, 95% CI 0.003-0.879) were independently associated with SV use. Model performance was strong (AUC 0.856; accuracy 79.5%). Among SV users, longer daytime duration for SV use was associated with younger age, greater inspiratory and expiratory muscle strength, higher consciousness level, mild dysphagia, spontaneous cough, and neuromuscular or spinal cord injury diagnoses. In contrast, moderate-to-abundant secretions were associated with fewer hours.ConclusionIn a single-center neurological rehabilitation cohort, SV adoption and sustained tolerance were associated with bedside indicators of neurological responsiveness, secretion management, swallowing safety, and respiratory muscle strength. Findings should be interpreted as predictive associations and warrant external validation in contemporary multicenter cohorts.
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