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Journal of oral rehabilitation · 2025

Factors Influencing Oral Intake Restoration at Discharge in Patients Undergoing Fasting During Acute Care Hospitalisation.

СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Yoshikawa Kohei, Kayashita Jun, Hamamoto Takao, Nakamori Masahiro, Mikami Yukio, Takeno Sachio

Аннотация

BACKGROUND: Dysphagia in older inpatients prolongs hospitalisation and increases pneumonia-related medical costs. In acute care hospitals, the prompt evaluation of oral intake potential is essential.

OBJECTIVE: Early identification of patients with difficulty resuming oral intake and appropriate interventions, including alternative nutritional support, is crucial for preventing malnutrition and promoting functional recovery. This study aimed to identify the predictors of oral intake resumption at discharge in older inpatients by assessing swallowing function using the videoendoscopic Hyodo score and nutritional status using the Mini Nutritional Assessment-Short Form (MNA-SF) score.

METHODS: This retrospective study included 114 older patients (mean age 77.9 ± 7.0 years) with a Functional Oral Intake Scale (FOIS) of 1 who underwent videoendoscopic evaluation between April 2020 and March 2022. Patients were classified into an oral intake group (FOIS ≥ 4 at discharge) or a non-oral intake group (FOIS < 4). Demographic, clinical, nutritional and swallowing-related variables were compared. Logistic regression was used to identify independent predictors, and receiver operating characteristic (ROC) analysis was used to assess predictive performance.

RESULTS: In the logistic regression analysis, the MNA-SF score (odds ratio [OR] = 1.29, p = 0.003) and Hyodo score (OR = 0.84, p = 0.049) were independent predictors. Combined Hyodo and MNA-SF score, ROC analysis showed a sensitivity of 0.81, specificity of 0.61, and an area under the curve of 0.75 (95% confidence interval, 0.65-0.82).

CONCLUSION: Hyodo and MNA-SF scores can predict oral intake recovery at discharge in older inpatients, and a predictive model combining both is useful.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты