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May 20, 2026American Journal of Respiratory and Critical Care Medicine0 citations

A77-16 Bedside Diaphragmatic Ultrasound Predicts Dysphagia Risk After Acute Brain Injury: A Noninvasive Biomarker of Swallow-breathing Dysfunction

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PMP A F MagalhãesFOF N R OliveiraBFB B R D Figueirêdo

Key Points

  • This study examines whether diaphragmatic ultrasound parameters can predict swallowing difficulties after acute brain injury.
  • Cross-sectional study of adults with acute brain injury (ABI) like stroke and traumatic brain injury.
  • Bilateral diaphragmatic ultrasound assessed thickness, excursion, and contraction/relaxation velocities with PARD scale categorizing dysphagia risk.
  • Statistical analyses included Spearman correlation for PARD scores and nonparametric comparisons.
  • Dysphagia was present in 43.9% of the 107 patients studied.
  • Reduced diaphragmatic mobility significantly correlated with dysphagia scores (inspiratory excursion r = -0.318, p < 0.001).
  • Diaphragmatic excursion was a strong predictor of dysphagia with OR = 1.42 (95% CI 1.10-1.84, p = 0.006).

Abstract

Abstract Rationale Oropharyngeal dysphagia is a frequent and serious complication of acute brain injury (ABI), increasing the risk of aspiration pneumonia, prolonged ventilation, and mortality. However, reliable bedside predictors of dysphagia are scarce. Since the diaphragm is critical in coordinating respiration and swallowing, we hypothesized that diaphragmatic dysfunction might signal impaired swallow-breathing integration. This study aimed to determine whether diaphragmatic ultrasound parameters can predict the risk of dysphagia in adults with ABI. Methods We performed a cross-sectional, of consecutive adults admitted with an ABI such as ischemic or hemorrhagic stroke or traumatic brain injury. Dysphagia risk was stratified using the validated PARD bedside scale. Bilateral diaphragmatic ultrasound (B-mode and M-mode) was used to assess thickness, excursion, and contraction/relaxation velocities. A single trained examiner, blinded to the swallowing assessment, averaged the measurements over ≥5 respiratory cycles. Statistical analyses included a Spearman correlation for ordinal PARD scores and nonparametric comparisons between dysphagia categories. Significance was set at α = 0.05. Institutional ethics approval was obtained. Results Among 107 patients (mean age 53.1 ± 17 years; 63.6% male), dysphagia was identified in 43.9%. Diaphragm thickness showed no association with dysphagia (p = 0.14). In contrast, reduced diaphragmatic mobility and slower dynamics were correlated significantly with higher dysphagia scores: inspiratory excursion (r = -0.318, p 0.001), expiratory excursion (r = -0.352, p 0.001), contraction velocity (r = -0.190, p = 0.025), and relaxation velocity (r = -0.227, p = 0.009). Logistic regression analysis revealed that diaphragmatic excursion is a significant predictor of dysphagia (odds ratio OR = 1.42, 95% confidence interval CI 1.10-1.84, p = 0.006). Prior intubation and pneumonia were also associated with worse dysphagia (p 0.001). Conclusions This study demonstrates that bedside diaphragmatic ultrasound can predict the risk of clinical dysphagia in patients with acute brain injury. Reduced diaphragmatic excursion and slower contractile dynamics were independently associated with greater dysphagia severity, providing a quantifiable marker of impaired swallow-breathing coordination. This noninvasive biomarker offers practical value for early dysphagia detection and timely intervention, potentially reducing aspiration and improving outcomes in neurocritical care. This abstract is funded by: Fundação de Amparo a Ciência e Tecnologia do Estado de Pernambuco (FACEPE)

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Cite This Study

Magalhães et al. (2026) studied this question.

synapsesocial.com/papers/6a0d5098f03e14405aa9c82fhttps://doi.org/10.1093/ajrccm/aamag162.5328
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