Alcohol, microbiome, life style influence alcohol and non-alcoholic organ damage.

This paper is based upon the "8th Charles Lieber's Satellite Symposium" organized by Manuela G. Neuman at the Research Society on Alcoholism Annual Meeting, on June 25, 2016 at New Orleans, Louisiana, USA. The integrative symposium investigated different aspects of alcohol-induced liver disease (ALD) as well as non-alcohol-induced liver disease (NAFLD) and possible repair. We revealed the basic aspects of alcohol metabolism that may be responsible for the development of liver disease as well as the factors that determine the amount, frequency and which type of alcohol misuse leads to liver and gastrointestinal diseases. We aimed to (1) describe the immuno-pathology of ALD, (2) examine the role of genetics in the development of alcoholic hepatitis (ASH) and NAFLD, (3) propose diagnostic markers of ASH and non-alcoholic steatohepatitis (NASH), (4) examine age and ethnic differences as well as analyze the validity of some models, (5) develop common research tools and biomarkers to study alcohol-induced effects, 6) examine the role of alcohol in oral health and colon and gastrointestinal cancer and (7) focus on factors that aggravate the severity of organ-damage. The present review includes pre-clinical, translational and clinical research that characterizes ALD and NAFLD. Strong clinical and experimental evidence lead to recognition of the key toxic role of alcohol in the pathogenesis of ALD with simple fatty infiltrations and chronic alcoholic hepatitis with hepatic fibrosis or cirrhosis. These latter stages may also be associated with a number of cellular and histological changes, including the presence of Mallory's hyaline, megamitochondria, or perivenular and perisinusoidal fibrosis. Genetic polymorphisms of ethanol metabolizing enzymes and cytochrome p450 (CYP) 2E1 activation may change the severity of ASH and NASH. Other risk factors such as its co-morbidities with chronic viral hepatitis in the presence or absence of human deficiency virus were discussed. Dysregulation of metabolism, as a result of ethanol exposure, in the intestine leads to colon carcinogenesis. The hepatotoxic effects of ethanol undermine the contribution of malnutrition to the liver injury. Dietary interventions such as micro and macronutrients, as well as changes to the microbiota have been suggested. The clinical aspects of NASH, as part of the metabolic syndrome in the aging population, have been presented. The symposium addressed mechanisms and biomarkers of alcohol induced damage to different organs, as well as the role of the microbiome in this dialog. The microbiota regulates and acts as a key element in harmonizing immune responses at intestinal mucosal surfaces. It is known that microbiota is an inducer of proinflammatory T helper 17 cells and regulatory T cells in the intestine. The signals at the sites of inflammation mediate recruitment and differentiation in order to remove inflammatory inducers and promote tissue homeostasis restoration. The change in the intestinal microbiota also influences the change in obesity and regresses the liver steatosis. Evidence on the positive role of moderate alcohol consumption on heart and metabolic diseases as well on reducing steatosis have been looked up. Moreover nutrition as a therapeutic intervention in alcoholic liver disease has been discussed. In addition to the original data, we searched the literature (2008-2016) for the latest publication on the described subjects. In order to obtain the updated data we used the usual engines (Pub Med and Google Scholar). The intention of the eighth symposia was to advance the international profile of the biological research on alcoholism. We also wish to further our mission of leading the forum to progress the science and practice of translational research in alcoholism.

Dentist shortage: an analysis of dentists, practices, and populations in the underserved areas.

OBJECTIVES: The objectives of this study are to identify and describe the characteristics of dental underserved geographic areas. Understanding these characteristics is an important step in addressing access to dental care barriers. METHODS: Dental underserved areas were identified from the Health Resources and Services Administration (HRSA) database and converted to census tracts for analysis. Characteristics of dental underserved geographic areas were compared with areas not designated as underserved. Dental practices included in the Dun & Bradstreet Business information database were geocoded and analyzed according to the underserved designation of their location and census demographic data. Thus, the relationships between dental underserved status, practice, and population characteristics were evaluated. RESULTS: Dental underserved areas are more likely to comprise individuals with lower socio-economic status (income and education levels), higher levels of underrepresented population groups, and have lower population densities than non-underserved areas. The populations living in dental underserved areas are more likely to experience geographic, financial, and educational barriers to dental care. CONCLUSIONS: The study identifies the geographic and financial barriers to dental care access. These findings suggest that the likelihood of a market-driven solution to dental underserved geographic areas is low and support public sector interventions to improve the status quo.

Texas First Dental Home: A Snapshot after Five Years.

BACKGROUND: Early caries is still the most prevalent disease of childhood. Its incidence continues to be high, despite recent progress in the amount of untreated caries. The disease is more prevalent in low socio-economic and minority groups. To address this issue, in 2008 Texas implemented the First Dental Home Program for Medicaid children from 6 to 35 months old. The program consists in providing up to 10 preventive and oral health education visits to children very early in life. A specific dental visit code and a bundled payment of $94 were offered to insure adequate dental provider participation. Little is known about the program results to date. This paper evaluates program development at 5 years. METHODS: Two data sets on first dental home patients and providers were obtained from the Texas Department of Health Services. The data cover a 5-year period (3rd quarter of 2008 to end of 2nd quarter 2013). Program participants were geocoded and their distribution was compared to dental underserved areas. Program uptake over time and the relationship between provider and patient locations were also evaluated. RESULTS: The program covered 440,191 children between September 1st, 2011 and February 28th, 2013. All but two counties in Texas had at least one patient enrolled in the program. As expected, program uptake was higher in highly populated and economically disadvantaged counties. Forty-five percent of Texas licensed dentists participated in the program. The number of dental providers certified to provide first dental home services was highly correlated with the number of patients enrolled in the program (r = 0.893). The number of children participating in the program was between 20.4% and 23%. 29.7% of the first dental home patients had only one visit while only 17.1% had five or more visits. The number of patients and the number of visits per patient peaked at the end of 2011 and flatten thereafter. CONCLUSION: Many children benefited from the program since its rollout. However, despite considerable financial resources and dental provider participation, the uptake of the first dental home program by Medicaid beneficiaries could be improved. Moreover, those who participate do not always take full advantage of the program. Without adequate participation, the desired outcomes of the program may not materialize. Additional efforts to catalyze program development and on-going evaluation may be needed.

Pay for performance: will dentistry follow?

BACKGROUND: "Pay for performance" is an incentive system that has been gaining acceptance in medicine and is currently being considered for implementation in dentistry. However, it remains unclear whether pay for performance can effect significant and lasting changes in provider behavior and quality of care. Provider acceptance will likely increase if pay for performance programs reward true quality. Therefore, we adopted a quality-oriented approach in reviewing those factors which could influence whether it will be embraced by the dental profession. DISCUSSION: The factors contributing to the adoption of value-based purchasing were categorized according to the Donabedian quality of care framework. We identified the dental insurance market, the dental profession position, the organization of dental practice, and the dental patient involvement as structural factors influencing the way dental care is practiced and paid for. After considering variations in dental care and the early stage of development for evidence-based dentistry, the scarcity of outcome indicators, lack of clinical markers, inconsistent use of diagnostic codes and scarcity of electronic dental records, we concluded that, for pay for performance programs to be successfully implemented in dentistry, the dental profession and health services researchers should: 1) expand the knowledge base; 2) increase considerably evidence-based clinical guidelines; and 3) create evidence-based performance measures tied to existing clinical practice guidelines. SUMMARY: In this paper, we explored factors that would influence the adoption of value-based purchasing programs in dentistry. Although none of these factors were essential deterrents for the implementation of pay for performance programs in medicine, the aggregate seems to indicate that significant changes are needed before this type of program could be considered a realistic option in dentistry.

Pay-for-performance in dentistry: what we know.

Little is known about the effect of a pay-for-performance system (P4P) on primary medical care providers and even less is known about its potential impact in dentistry. Based on the growing acceptance of performance-based reimbursements in medicine and the dissemination of innovative technologies, structures, and processes of care from medical to dental services, it is likely that the dental profession will face performance-based payments in the not-too-distant future. In this paper, we present the current experience of P4P in primary medical care that has relevance to dentistry and discuss the dental performance-based programs to date. Taking into consideration these lessons, the structure of dental service delivery in the United States, and the paucity of evidence-based quality indicators in dentistry, we provide several guidelines for the design of P4P pilot programs for dental services. We conclude that large-scale implementation of P4P for dentistry may not be a realistic option before significant progress is achieved in quality of dental care indicators.