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Prediction of aspiration in dysphagia using logistic regression: oral intake and self-evaluation
OBJECTIVES: Oropharyngeal dysphagia (OD) has a major influence on health in general and health-related quality of life (HR-QoL) in particular. The gold standard assessments for OD, especially for aspiration in OD, are fiberoptic endoscopic evaluation of swallowing (FEES) and videofluoroscopy (VFSS),...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942603/ https://www.ncbi.nlm.nih.gov/pubmed/31630245 http://dx.doi.org/10.1007/s00405-019-05687-z |
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author | Heijnen, Bas J. Böhringer, Stefan Speyer, Renée |
author_facet | Heijnen, Bas J. Böhringer, Stefan Speyer, Renée |
author_sort | Heijnen, Bas J. |
collection | PubMed |
description | OBJECTIVES: Oropharyngeal dysphagia (OD) has a major influence on health in general and health-related quality of life (HR-QoL) in particular. The gold standard assessments for OD, especially for aspiration in OD, are fiberoptic endoscopic evaluation of swallowing (FEES) and videofluoroscopy (VFSS), but not all patients have access to such procedures. Therefore, the current study built a prediction model to forecast aspiration in patients with OD on the basis of common self-evaluation questionnaires and oral intake status. METHODS: A consecutive series of 111 patients with confirmed diagnosis of OD was measured according to a standardised protocol using the following tools: the Swallowing Quality of Life Questionnaire (SWAL-QOL), the Dysphagia Handicap Index (DHI), two self-report visual analogue scales which measure the Severity and the Impairment of the swallowing problem on everyday social life as experienced by the patient, the Eating Assessment Tool 10 (EAT-10), the Functional Oral Intake Scale (FOIS) and subsequently FEES (the gold standard). Penalised logistic regression was carried out to predict aspiration. The performance of the resulting models was evaluated by constructing receiver operating characteristics (ROC) curves and computing areas under the curve (AUC). RESULTS: The final model showed an AUC of 0.92, indicating excellent performance. CONCLUSION: This study shows that it may be possible to accurately predict aspiration in oropharyngeal dysphagia by a non-invasive and non-instrumental assessment protocol including oral intake status and self-report questionnaires on functional health status and HR-QoL. |
format | Online Article Text |
id | pubmed-6942603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-69426032020-01-16 Prediction of aspiration in dysphagia using logistic regression: oral intake and self-evaluation Heijnen, Bas J. Böhringer, Stefan Speyer, Renée Eur Arch Otorhinolaryngol Laryngology OBJECTIVES: Oropharyngeal dysphagia (OD) has a major influence on health in general and health-related quality of life (HR-QoL) in particular. The gold standard assessments for OD, especially for aspiration in OD, are fiberoptic endoscopic evaluation of swallowing (FEES) and videofluoroscopy (VFSS), but not all patients have access to such procedures. Therefore, the current study built a prediction model to forecast aspiration in patients with OD on the basis of common self-evaluation questionnaires and oral intake status. METHODS: A consecutive series of 111 patients with confirmed diagnosis of OD was measured according to a standardised protocol using the following tools: the Swallowing Quality of Life Questionnaire (SWAL-QOL), the Dysphagia Handicap Index (DHI), two self-report visual analogue scales which measure the Severity and the Impairment of the swallowing problem on everyday social life as experienced by the patient, the Eating Assessment Tool 10 (EAT-10), the Functional Oral Intake Scale (FOIS) and subsequently FEES (the gold standard). Penalised logistic regression was carried out to predict aspiration. The performance of the resulting models was evaluated by constructing receiver operating characteristics (ROC) curves and computing areas under the curve (AUC). RESULTS: The final model showed an AUC of 0.92, indicating excellent performance. CONCLUSION: This study shows that it may be possible to accurately predict aspiration in oropharyngeal dysphagia by a non-invasive and non-instrumental assessment protocol including oral intake status and self-report questionnaires on functional health status and HR-QoL. Springer Berlin Heidelberg 2019-10-19 2020 /pmc/articles/PMC6942603/ /pubmed/31630245 http://dx.doi.org/10.1007/s00405-019-05687-z Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Laryngology Heijnen, Bas J. Böhringer, Stefan Speyer, Renée Prediction of aspiration in dysphagia using logistic regression: oral intake and self-evaluation |
title | Prediction of aspiration in dysphagia using logistic regression: oral intake and self-evaluation |
title_full | Prediction of aspiration in dysphagia using logistic regression: oral intake and self-evaluation |
title_fullStr | Prediction of aspiration in dysphagia using logistic regression: oral intake and self-evaluation |
title_full_unstemmed | Prediction of aspiration in dysphagia using logistic regression: oral intake and self-evaluation |
title_short | Prediction of aspiration in dysphagia using logistic regression: oral intake and self-evaluation |
title_sort | prediction of aspiration in dysphagia using logistic regression: oral intake and self-evaluation |
topic | Laryngology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6942603/ https://www.ncbi.nlm.nih.gov/pubmed/31630245 http://dx.doi.org/10.1007/s00405-019-05687-z |
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