BackgroundChronic 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.MethodsWe 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.ResultsAll 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.ConclusionsThis ANN approach may allow for a more efficient risk adapted HCV-screening. However, further validation of the prediction model is required.
Not only patients with hepatitis B but also relatives and household members should be informed about consequences of liver disease and HBV infection. The poor vaccination coverage even of sexual partners of HBV-infected individuals requires attention and should lead to a better education.
The costs of guideline-based treatment are unknown for most diseases. This also applies for economically significant infectious diseases like viral hepatitis and HIV. On the basis of the "German Guidelines for the Management of HBV Infection" from 2011 patients were grouped into HBsAg-positive, immuntolerant and chronic hepatitis patients with and without cirrhosis. Costs were divided in baseline diagnostics, monitoring and medical treatment according to the guideline. The calculation was modelled for a period of five years. Costs for virological diagnostics and imaging account for a large proportion of diagnostic costs. The main cost factors are expenses for pharmaceutical treatment with interferon or HBV polymerase inhibitors. On the assumption that only 25 % of the infected patients are diagnosed, 5-year total costs in Germany account for more than 2.5 billion Euros. Therefore, chronic hepatitis B is a disease with a very high economic burden. The aim of a guideline treatment is to prevent the development of cirrhosis with all its complications as well as the development of liver-cell carcinoma. Prophylactic vaccination against hepatitis B should be advised also considering the potential economic impact.
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.
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.
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