Loss of oral self-care ability results in a higher risk of pneumonia in older inpatients: A prospective cohort study in a Japanese rural hospital.

GERODONTOLOGY(2019)

引用 11|浏览23
暂无评分
摘要
Objectives To identify significant risk factors associated with incidence of mortality and pneumonia in whole-community-based older inpatients resident in Japanese rural region. Methods Patients older than 65 years admitted between 1 April and 15 April 2010 to a core hospital located in a rural region were exhaustively recruited, and incidence of mortality and pneumonia during the 32-month follow-up period were evaluated. Independent variables at baseline measurement included age, gender, body mass index, Charlson comorbidity index, functional dependency, oral self-care ability index, number of remaining teeth, hyposalivation and nutritional status. Dependent variables were incidence of mortality and pneumonia. Survival and non-pneumonia curves were drawn using Kaplan-Meier analysis. Cox proportional hazards analysis was performed to identify the risk factors related to incidence of mortality and pneumonia. Results The survival rate of 46 patients (male/female: 11/35; mean age: 83.8 +/- 6.8 years) was 52.1%, and the incidence of pneumonia was 60.9%. Malnutrition and gender (male) were identified as significant risk factors for mortality (odds ratio [OR]: 8.18 and 4.90; 95% confidence interval [CI]: 1.77-37.3 and 1.50-16.0; P < 0.01 and <0.01, respectively). Loss of oral self-care ability and gender (male) were identified as significant risk factors for incidence of pneumonia (OR: 8.97 and 4.58; 95% CI: 1.70-47.4 and 1.50-14.0; P = 0.01 and <0.01, respectively). Conclusions Malnutrition and loss of oral self-care ability were significant risk factors for incidence of mortality and pneumonia, respectively. In response, supplying nutrition with appropriate diet and personalised oral care might contribute to reduction in mortality and prevention of pneumonia.
更多
查看译文
关键词
aged,dentition,mortality,nutritional status,pneumonia,risk factors
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要