Obesity and harmful alcohol consumption are predictors for advanced liver disease in the disease management program for type 2 diabetes.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a major risk factor for advanced liver disease. The aim of this prospective cohort study was to assess the prevalence and associated risk factors of liver fibrosis and cirrhosis in primary care centers participating in the diabetes disease management program (DMP) in Germany. METHODS: A total of 175 participants with the diagnosis of T2DM were enrolled in two primary care centers. Steatotic liver disease (SLD; hepatic steatosis, ≥275 dB/m), fibrosis (≥8 kPa), and cirrhosis (≥15 kPa) were assessed non-invasively using vibration-controlled transient elastography. Multivariable logistic regression analysis was performed to identify clinical predictors of fibrosis and cirrhosis. The AUDIT questionnaire was used to screen for alcohol consumption, and a score ≥8 was considered harmful alcohol consumption. RESULTS: The majority of participants were male (62%), and the median age was 66 years (interquartile range 59; 71). The median body mass index was 31.1 kg/m2 , with 58.9% of the participants being obese. Harmful alcohol consumption was prevalent in 8.0% and 20.0% of the entire cohort and in those with cirrhosis, respectively. The prevalence of SLD, fibrosis, and cirrhosis was 77.1%, 42.3%, and 12.0%, respectively. In multivariable logistic regression analysis, obesity, and harmful alcohol consumption were associated with the highest odds of fibrosis (odds ratio [OR] 5.198, 95% confidence interval [CI] 2.269-11.908) and cirrhosis (OR 5.615, 95% CI 1.274-24.756), respectively. CONCLUSION: The prevalence of fibrosis and cirrhosis in patients seen in the diabetes DMP in Germany is high. Obesity and harmful alcohol consumption increase the risk of fibrosis and cirrhosis in people with T2DM. Screening for advanced liver disease and associated risk factors within the DMP program may reduce the liver disease burden in this high-risk population.

Health System Efficiency: A Fragmented Picture Based on OECD Data.

BACKGROUND: Globally, health expenditure as a percentage of GDP has increased in recent years, so evaluating the health care systems used in different countries is an important tool for identifying best practices and improving inefficient health care systems. OBJECTIVE: We investigate health system efficiency at the country level based on OECD health data. We focus on several aspects of health care systems to identify specific inefficiencies within them. This information hints at potential policy interventions that could improve specific parts of a country's health care system. METHODS: A discussion is provided of ideal-typical evaluations of health systems, ignoring data restrictions, which provide the theoretical basis for an analysis performed under factual data restrictions. This investigation includes health care systems in 34 countries and is based on OECD health data. Health care system efficiency scores are obtained using data envelopment analysis (DEA). Relative productivity measures are calculated based on average DEA prices. Given the severe data limitations involved, instead of performing an all-encompassing analysis of each health care system, we focus on several aspects of each system, performing five partial analyses. RESULTS: For each country, the efficiencies yielded by the five partial analyses varied considerably, resulting in an ambiguous picture of the efficiencies of the various health care systems considered. A synopsis providing comprehensive rankings of the analyzed countries is provided. CONCLUSION: Analysis of several aspects of the health care systems considered here highlights potential improvements in specific areas of these systems, thereby providing information for policymakers on where to focus when aiming to improve a country's health care system.