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Titre : | Status Of Dysphagia After Ischemic Stroke: A Korean Nationwide Study (2021) |
Auteurs : | Nayeon Ko ; Hyun Haeng Lee ; Min Kyun Sohn ; Deog Young Kim ; Yong-Il Shin ; Gyung-Jae Oh ; Yang-Soo Lee ; Min Cheol Joo ; So Young Lee ; Min-Keun Song ; Junhee Han ; Jeonghee Ahn ; Young-Hoon Lee ; Won Hyuk Chang ; Soo Mi Choi ; Seon kui Lee ; Jongmin Lee ; Yun-Mi Kim |
Type de document : | Article |
Dans : | Archives of Physical Medicine and Rehabilitation (Vol. 102, n° 12, 2021) |
Article en page(s) : | p. 2343-2352.e3 |
Note générale : | https://doi.org/10.1016/j.apmr.2021.07.788 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Accident vasculaire cérébral (AVC) ; Réadaptation ; Troubles de la déglutition |
Résumé : |
Objective
To identify the incidence of dysphagia after ischemic stroke and determine factors affecting the presence of dysphagia. Design Retrospective case-control study. This was an interim analysis of a prospective multicenter Korean stroke cohort. Setting Acute care university hospitals. Participants Patients (N=6000) with first-ever acute ischemic stroke. Patients were divided into 2 groups according to the presence or absence of dysphagia confirmed at 7 days after onset using the American Speech-Language-Hearing Association National Outcomes Measurement System (ASHA-NOMS) scale, which was determined after conducting screening or standardized tests. Interventions Not applicable. Main Outcome Measures Age at stroke onset, body mass index (BMI), premorbid modified Rankin Scale (mRS), brainstem lesions, National Institutes of Health Stroke Scale (NIHSS), poststroke mRS, and ASHA-NOMS swallowing level at poststroke day 7 were evaluated. Results Among patients with ischemic stroke, 32.3% (n=1940) had dysphagia at 7 days after stroke onset. At discharge, 80.5% (n=1561) still had dysphagia. The prediction model for the presence of dysphagia identified age at onset, underweight (BMI Conclusions The incidence of dysphagia after ischemic stroke was 32.3%. The prediction model for the presence of dysphagia identified age, low BMI, premorbid disabilities, brainstem lesions, and NIHSS as predictive factors. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S0003999321013137#! |