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AIMS: To verify whether oral health teams influence the oral health status, ventilator-associated pneumonia incidence and mortality rate of patients in Intensive Care Units (ICU). MATERIALS AND METHODS: Bibliographic searches were performed in PubMed, Scopus, Web of Science, Lilacs, Embase, Livivo, Open Grey, Academic Google, and Cochrane databases. The assessment of the methodological quality and risk of bias of the included studies and a random-effects meta-analysis to summarize relative risk data for ventilator-associated pneumonia (VAP) and mortality were performed. An analysis of the certainty of the evidence was performed for the main outcomes analyzed. RESULTS: Records of 518 studies were analyzed by reading titles and abstracts. Five studies were included according to eligibility criteria. The meta-analysis showed that ICU patients undergoing dental care by an oral health team had a lower incidence of VAP (OR = 0.33; 95% CI: 014-0.76) but did not lower mortality rates (OR = 0.46 95% CI: 0.16-1.32). The certainty of the evidence was considered very low. CONCLUSION: Dental care provided by oral health teams in a hospital environment did not influence oral health status or mortality, although it contributed to a reduction in VAP of patients admitted to the ICU.

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AIMS: To evaluate the unstimulated salivary flow (USF) and salivary colonization of total Streptococcus spp. (TS) and mutans-group (MS) in pediatric patients with hematological tumors. Correlations of salivary and microbiological changes with chemotherapy and patient-related factors were also verified. METHODS AND RESULTS: Eligible children (n = 31) were evaluated before (control) and after (2, 5, and 10-weeks) the chemotherapy protocol was applied. Saliva samples were collected by the traditional spitting method to determine the USF (ml/min). Salivary TS and MS were determined by colony-forming units (CFU ) counts in a selective medium. The caries experience was evaluated by DMFT/dmft indexes. Data were submitted to Student's t-test, one-way ANOVA, and correlation tests (α = 0.05). The USF rate at baseline was 0.89 (±0.73) ml/min with up to 20% reduction during the follow-up and did not differ statistically during chemotherapy (p  > .05). Chemotherapy did not modify the salivary TS load (p > .05), but induced a dysbiotic shift with higher MS counts (∼ 5 fold-increase) at 10-weeks (p < .05). There is a correlation of USF with age (r = .390) and SM load with caries experience (rs  = -.540) at 5-weeks. CONCLUSION: Chemotherapy may promote a specific increase of mutans-group streptococci without changing the Streptococcus spp. load and unstimulated saliva flow. Correlation reinforced the need for further enlightenment about the chemotherapy mechanisms in the salivary and microbiological parameters.

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BACKGROUND: Dental caries is associated with Biological, behavioral, socioeconomic, and environmental factors; however, socioeconomic status is a distal determinant of dental caries development that modulates exposure to risk and protective factors. This study aimed to analyze the socioeconomic factors associated with the concentration of oral diseases in a population-based study in Brazil. METHODS: This is a quantitative, analytical, cross-sectional study based on secondary data from the SB São Paulo 2015 epidemiological survey. A total of 17,560 subjects were included. The concentration of oral disease in the population was estimated by the oral disease burden (ODB) variable. The ODB consists of four components: dental caries; tooth loss; need for dental prosthesis and periodontal condition. Thus, the total score on the ODB could vary between 0 and 4, with the highest score indicating the worst possible situation. ODB was analyzed in multivariate negative binomial regression, and multivariate binary logistic regression analysis. The following factors were included as independent variables: age group, skin color, socioeconomic factors, family income and Oral Impact on Daily Performance (OIDP). RESULTS: In the sample, 86.9% had no minimum ODP component. Negative multivariate binomial regression showed a statistically significant relationship (p < 0.005) between ODB and all variables analyzed (skin color, family income, education, OIDP results and age range). The adjusted multivariate binary logistic regression showed that the individuals most likely to have at least one component of ODB were nonwhite (25.5%), had a family income of up to R$ 1500.00/month (19.6%), had only completed primary education (19.1%), and reported that their oral health had an impact on their daily activities (57.6%). Older adults individuals were two times more likely than adolescents to have an ODB component. CONCLUSIONS: ODB is associated with factors related to social inequality. Adults and older adults individuals had the highest cumulative number of ODB components.

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BACKGROUND: It is necessary to recognize the influence of socioeconomic factors on oral cancer indicators in Latin American countries. This study aimed to analyze the influence of socioeconomic indicators and economical investments on oral cancer mortality rates in Latin American countries. METHODS: This cross-sectional study considered the age-standardized mortality rate (ASR) of oral cancer within the period 2000-2015. The oral cancer mortality rate (for both sexes and age groups 40-59 and 60 years old or more), socioeconomic aspects (Gini Inequality Index, unemployment rate and Gross Domestic Product (GDP) per capita) and investments in different sectors (%GDP invested in health per capita and by the government, %GDP invested in education by the government and %GDP invested in research and development) were considered. Tweedie multivariate regression was used to estimate the effect of independent variables on the mortality rate of oral cancer, considering p < 0.05. RESULTS: This study showed that being male and aged 60 or over (PR = 14.7) was associated with higher mortality rate for oral cancer. In addition, greater inequality (PR = 1.05), higher health expenditure per capita (PR =1.09) and greater investment in research and development (PR = 1.81) were associated with a higher mortality rate from oral cancer. CONCLUSION: Socioeconomic factors and economical investments influence the mortality rate of oral cancer in Latin American countries. This emphasizes oral cancer is a socioeconomic-mediated disease.

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BACKGROUND: To analyze biochemical and microbiological parameters of the saliva of institutionalized elders and to investigate the relation of these parameters with edentulism, use of dentures and presence of biofilm. MATERIAL AND METHODS: A cross-sectional study carried was out in seven long-term institutions. Samples (n=161) of unstimulated saliva were collected for analysis of salivary flow, quantification of total proteins and identification of microorganisms. Oral examination was carried out to verify the number of missing teeth, the use of dentures and the presence of visible biofilm on the surface of teeth and dentures. Associations were performed using chi-square or Fisher's exact test (α<0.05). Mann-Whitney Test was used to identify differences in the salivary flow and total proteins (α<0.05). RESULTS: There was no association between the type of edentulism and use of dentures with biochemical and microbiological parameters of saliva (p>0.05). Associations were observed between the presence of dentures biofilm and the colonization of Streptococcus sp. (p=0.038) and Candida sp. (p=0.03). CONCLUSIONS: The absence of teeth and use of dentures do not influence the amount of total proteins and the microorganisms count in saliva. Denture biofilms are associated with the presence of Streptococcus sp. and Candida sp. in saliva of institutionalized elders. Key words:Candida, long-stay institutions for elders, saliva, Streptococcus, Staphylococcus.