Model based on clinical characteristics to identify patients with neurogenic oropharyngeal dysphagia

基于临床特征的模型用于识别神经源性口咽吞咽困难患者

阅读:1

Abstract

INTRODUCTION: Neurogenic oropharyngeal dysphagia is a form of functional dysphagia usually caused by neurological and neuromuscular diseases, which produces several secondary complications. To improve its detection and characterization, models are emerging that integrate clinical variables to complement the physical examination of swallowing. OBJECTIVE: Develop an explanatory model to differentiate patients with neurogenic oropharyngeal dysphagia. MATERIALS AND METHODS: Case control study based on a set ofdata derived from the clinical examination of swallowing with neurological emphasis carried out in a sample of patients with neurogenic oropharyngeal dysphagia of neurological and neuromuscular causes (cases), and in healthy people (controls). RESULTS: 158 clinical variables were compared between both groups, where those with the greatest classification capacity were identified, integrated into an explanatory binary logistic regression model made up of nine variables: two history, two symptoms, three physical examination signs and two signs after consistency/volume test with food. The dependent variable was the category of being healthy or patient and the covariates were the clinical variables. Parameters reached by the model: Akaike information criterion 102 and Nagelkerke R2 0.78. DISCUSSION: The nine variables that entered the model, together, largely explain the presence of neurogenic oropharyngeal dysphagia, and are accessible by physical examination of swallowing. CONCLUSIONS: The model obtained can improve and/or complement the evaluation process carried out in patients with dysphagia of functional causes, neurological and neuromuscular diseases, in screening and diagnostic characterization processes.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。