AIM: Pneumonia ranks high among the causes of death worldwide. However, the predictive values of activities of daily living, the nutrition index and the aspiration index measured objectively remain unclear. The present study aimed to examine the associations of activity, nutrition and dysphagia with pneumonia. METHODS: We assessed 992 hospitalized patients. Logistic regression analysis was used to examine the predictors of pneumonia. Receiver operating characteristic curve analysis was used to determine the cut-off values of variables. Kaplan-Meier and Cox hazards regression analyses were used to examine the incidence of pneumonia and the factors associated with pneumonia. RESULTS: We finally enrolled 393 inpatients. Of the 393 patients, 102 (26.0%) had pneumonia. On logistic regression analysis, age, Functional Independence Measure (FIM)-motor score and Mann Assessment of Swallowing Ability (MASA) score were independent predictors of pneumonia. The FIM-motor and MASA cut-off values were 19.5 (area under the curve 0.83, P < 0.01) and 170.5 (area under the curve 0.82, P < 0.01), respectively. Kaplan-Meier analysis showed that the no pneumonia rate was significantly lower among patients with FIM-motor scores <20 than among those with FIM-motor scores ≥20 (log-rank test, P < 0.01), and was significantly lower among patients with MASA scores <171 than among those with MASA scores ≥171 (log-rank test, P < 0.01). Cox regression analysis showed that FIM-motor (hazard ratio 0.97, P = 0.009) and MASA scores (hazard ratio 0.99, P < 0.01) were significantly associated with pneumonia. CONCLUSIONS: In addition to the infectious risk, the FIM-motor and MASA scales are useful tools to predict the development of pneumonia in older adults. Geriatr Gerontol Int 2018; 18: 1620-1624.
AIM: Pneumonia ranks high among the causes of death worldwide. However, the predictive values of activities of daily living, the nutrition index and the aspiration index measured objectively remain unclear. The present study aimed to examine the associations of activity, nutrition and dysphagia with pneumonia. METHODS: We assessed 992 hospitalized patients. Logistic regression analysis was used to examine the predictors of pneumonia. Receiver operating characteristic curve analysis was used to determine the cut-off values of variables. Kaplan-Meier and Cox hazards regression analyses were used to examine the incidence of pneumonia and the factors associated with pneumonia. RESULTS: We finally enrolled 393 inpatients. Of the 393 patients, 102 (26.0%) had pneumonia. On logistic regression analysis, age, Functional Independence Measure (FIM)-motor score and Mann Assessment of Swallowing Ability (MASA) score were independent predictors of pneumonia. The FIM-motor and MASA cut-off values were 19.5 (area under the curve 0.83, P < 0.01) and 170.5 (area under the curve 0.82, P < 0.01), respectively. Kaplan-Meier analysis showed that the no pneumonia rate was significantly lower among patients with FIM-motor scores <20 than among those with FIM-motor scores ≥20 (log-rank test, P < 0.01), and was significantly lower among patients with MASA scores <171 than among those with MASA scores ≥171 (log-rank test, P < 0.01). Cox regression analysis showed that FIM-motor (hazard ratio 0.97, P = 0.009) and MASA scores (hazard ratio 0.99, P < 0.01) were significantly associated with pneumonia. CONCLUSIONS: In addition to the infectious risk, the FIM-motor and MASA scales are useful tools to predict the development of pneumonia in older adults. Geriatr Gerontol Int 2018; 18: 1620-1624.