Section of Preventive and Public Health Dentistry, Division of Oral Health, Growth and Development, Kyushu University Faculty of Dental Science, Fukuoka, Japan.
J Am Geriatr Soc. 2010 Jun;58(6):1050-7. doi: 10.1111/j.1532-5415.2010.02867.x. Epub 2010 May 7.
To characterize a comprehensive outline of the oral microflora related to pneumonia in older adults.
Prospective and retrospective longitudinal study.
Community.
Long-term hospitalized patients and people in nursing homes (343 subjects, aged > or =65).
Subjects were assessed at baseline for pneumonia-related health problems. The flora of the tongue coating was characterized according to terminal restriction fragment length polymorphism (T-RFLP) analysis. All subjects were followed prospectively for 6 months for a diagnosis of pneumonia. The number of febrile days (>37.5 degrees C) was assessed in 299 subjects who were observed for 12 months (retrospectively for 6 months and prospectively for 6 months). The follow-up data were analyzed using multivariate regression analyses in relation to the baseline data, including T-RFLP patterns.
T-RFLP patterns outlining the floral composition of the tongue coating were grouped into Clusters A, B, C, and D. According to Cox regression analysis, the subjects in Clusters C (hazard ratio (HR)=4.0, 95% confidence interval (CI)=1.1-15.1) and D (HR=4.9, 95% CI=1.2-21.1) were at a significantly greater risk of pneumonia than those in Cluster A, independent of other confounding factors. Logistic regression analysis adjusting for the same covariates indicated that the number of subjects with more than 9 febrile days per year was significantly lower in Cluster A than in the other clusters.
The comprehensive microfloral profile of the tongue coating is closely related to pneumonia-related health problems in institutionalized older adults.
描述与老年人肺炎相关的口腔微生物群的综合概况。
前瞻性和回顾性纵向研究。
社区。
长期住院患者和养老院中的人(343 名受试者,年龄≥65 岁)。
在基线时评估与肺炎相关的健康问题。根据末端限制性片段长度多态性(T-RFLP)分析来描述舌涂层的菌群。所有受试者均前瞻性随访 6 个月以诊断肺炎。在 299 名观察 12 个月(回顾性 6 个月,前瞻性 6 个月)的受试者中评估发热天数(>37.5°C)。将随访数据与基线数据(包括 T-RFLP 模式)进行多元回归分析。
T-RFLP 模式勾勒出舌涂层的花卉组成,分为 A、B、C 和 D 簇。根据 Cox 回归分析,C 簇(危险比(HR)=4.0,95%置信区间(CI)=1.1-15.1)和 D 簇(HR=4.9,95%CI=1.2-21.1)的受试者患肺炎的风险明显高于 A 簇,独立于其他混杂因素。调整相同协变量的逻辑回归分析表明,每年发热天数超过 9 天的受试者数量在 A 簇中明显低于其他簇。
舌涂层的综合微生物群谱与机构化老年人肺炎相关的健康问题密切相关。