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Updated: Jul 6, 2025

Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models
Published on: March 1, 2015
Clinical signs to predict the severity of dysphagia in Acute Ischemic Stroke patients
Huijun Zhou1, Shengyan Huang2, Kinji Arikawa3
1Department of Clinical Nutrition, Huashan Hospital, Fudan University, Shanghai, China.
Objectives:
In the current era, clinicians working in areas with limited and/or without facilities are only able to manage their patients based on clinical signs to detect dysphagia. This study assesses the performance of 5 simple clinical signs for predicting the severity of dysphagia.
Methods:
We systematically documented 5 targeted bedside clinical signs within 24 h after admission in 737 consecutive patients with acute stroke. We examined the median onset of each sign and calculated their ratios associated with severe dysphagia. The performance and significance of these special clinical signs were evaluated by further computation.
Results:
In total, 184 of 737 AIS patients were screened positive dysphagia by the modified V-VST. The 5 targeted bedside clinical signs were differed among the patients with and without dysphagia. Patients with serious dysphagia (n = 61,33.15%) showed higher positive percentages of larynx movement disorders than those classified as moderate (73.77% [60.99%-83.50%] vs 29.27% [21.82%-38.03%], p < 0.001). Logistic regression analyses conducted in the subsets confirmed larynx movement disorders as an independent predictor of dysphagia severity.
Conclusions:
Larynx movement disorders is correlated with a higher probability of severe dysphagia as measured by the modified V-VST in AIS patients.
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