Clinical characteristics of patients with non-alcoholic fatty liver disease (NAFLD) in Germany - First data from the German NAFLD-Registry.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects more than 18 million individuals in Germany. Real-world data help to better characterize the natural history of disease and standard of care. METHODS: The German NAFLD-Registry is a prospective non-interventional study initiated by the German Liver Foundation and aims to describe clinical characteristics and observe outcomes in patients with NAFLD recruited in secondary and tertiary care. RESULTS: From this ongoing study, baseline data of the first 501 patients (mean age 54 years, 48% women) were analysed. 13 % of the study population had a high risk for advanced fibrosis (FIB-4 ≥2.67), approximately one-third had a liver stiffness value ≥9.6kPa measured by transient elastography, and the clinical diagnosis of liver cirrhosis was present in 10%. Typical comorbidities were more prevalent in high risk as compared to low risk patients (FIB-4 <1.3) including arterial hypertension (85 vs. 42%), hypercholesterolemia (39 vs. 16%), and type 2 diabetes mellitus (T2DM) (69 vs. 26%). Patients with T2DM (192/501) had a higher NAFLD disease burden as shown by liver stiffness values ≥9.6 kPa (51%) and clinical diagnosis of cirrhosis (20%). Statins were used in 22% of the main population, while in diabetic patients, metformin, GLP-1 agonists, and SGLT2 inhibitors were used in 65, 17, and 17%, respectively. Uptake of life-style interventions such as physical exercise or nutritional counselling was generally low. CONCLUSION: First data of the German NAFLD registry show that approximately every 10th patient has advanced NAFLD, highlights T2DM patients as a high-risk group and gives insights in the use of comedication and life-style interventions in secondary and tertiary care.

Neural-network analysis of socio-medical data to identify predictors of undiagnosed hepatitis C virus infections in Germany (DETECT).

BACKGROUND: Chronic hepatitis C virus (HCV)-infection is a slowly debilitating and potentially fatal disease with a high estimated number of undiagnosed cases. Given the major advances in the treatment, detection of unreported infections is a consequential step for eliminating hepatitis C on a population basis. The prevalence of chronic hepatitis C is, however, low in most countries making mass screening neither cost effective nor practicable. METHODS: We used a Kohonen artificial neural network (ANN) to analyze socio-medical data of 1.8 million insurants for predictors of undiagnosed HCV infections. The data had to be anonymized due to ethical requirements. The network was trained with variables obtained from a subgroup of 2544 patients with confirmed hepatitis C-virus (HCV) infections excluding variables directly linked to the diagnosis of HCV. All analyses were performed using the data mining solution "RayQ". Training results were visualized three-dimensionally and the distributions and characteristics of the clusters were explored within the map. RESULTS: All 2544 patients with confirmed chronic HCV diagnoses were localized in a clearly defined cluster within the Kohonen self-organizing map. An additional 2217 patients who had not been diagnosed with hepatitis C co-localized to the same cluster, indicating socio-medical similarities and a potentially elevated risk of infection. Several factors including, age, diagnosis codes and drug prescriptions acted only in conjunction as predictors of an elevated HCV risk. CONCLUSIONS: This ANN approach may allow for a more efficient risk adapted HCV-screening. However, further validation of the prediction model is required.

Cost of treating hepatitis C in Germany: a retrospective multicenter analysis.

BACKGROUND: Viral hepatitis is major a public health problem affecting millions of people worldwide. Estimates assume 400 000-500 000 people chronically infected with hepatitis C virus (HCV) in Germany. Long-term consequences are the development of liver cirrhosis and hepatocellular carcinoma. The aim of the study was to assess the costs for treating patients with chronic HCV in Germany. METHODS: We conducted a retrospective multicenter observational study. The design was approved by an ethics committee, and patients were asked for their informed consent. Patients were grouped in four different health states. Healthcare utilization data were extracted from doctor files of six medical centers in Germany. RESULTS: Data of 315 patients with chronic HCV were analyzed. The mean age was 49.4 years, 57.5% were male and 67.9% had a genotype 1 infection. The most common routes of transmission were injection drug use (39.0%) and infection through blood products (15.9%). The average total cost was €19 147 including ambulatory care and diagnostics (€1686), pharmaceuticals (€14 875), inpatient care (€1293), and sick leave (€1293). For patients in stable health states (mild and moderate HCV, compensated cirrhosis), costs did not differ significantly and were mainly influenced by antiviral treatment. For patients with decompensated cirrhosis, inpatient care accounted for the largest part of the costs. CONCLUSION: Treatment of HCV patients involves high costs, mainly associated with the length of antiviral therapy. Viral eradication can prevent severe disease stages, which are associated with high costs. It is necessary to follow current guidelines and monitor patients closely to avoid unnecessary costs.