Inn Med (Heidelb). 2023 Apr 14. doi: 10.1007/s00108-023-01510-4. Online ahead of print.
ABSTRACT
BACKGROUND: The metabolic syndrome is a decisive risk factor for the manifestation of cardiovascular and metabolic diseases. Metabolic syndrome is the term used to describe the joint presence of specific diseases (obesity, hypertension, type 2 diabetes mellitus, disorders of fat metabolism). A classification is made more difficult by inconsistent definition criteria and a missing International Statistical Classification of Diseases and Related Health Problems (ICD) code. There are no known prevalence studies for Germany based on routine data of the statutory health insurance (GKV).
OBJECTIVE: The main aim of the present study was to classify the metabolic syndrome based on routine data of the GKV and to estimate the frequency of diagnosis. In addition, the influence of social factors (school and educational qualifications) was examined for the subgroup of employees with social insurance.
MATERIAL AND METHODS: A retrospective routine data analysis was carried out based on routine administrative data from the AOK Lower Saxony (AOKN). In contrast to the established definitions, which use medical parameters, the risk factors are taken into account via four coded diagnoses according to the ICD-10 classification: 1) obesity (E66.0, E66.8, E66.9), 2) type 2 diabetes mellitus (E11), 3) hypertension (I10) and 4) metabolic disorders (E78). A metabolic syndrome is present if at least two of the four diagnoses are present.
RESULTS: The prevalence of metabolic syndrome in the population of the AOKN in 2019 was 25.7%. The standardized comparison according to the census population of 2011 showed an increase in the frequency of diagnosis (2009: 21.5% and 2019: 24%). The frequency of diagnosis differed according to school and educational qualifications.
CONCLUSION: A classification and analysis of the frequency of the metabolic syndrome based on routine data of the GKV is possible. Between 2009 and 2019 there was a clear increase in the frequency of diagnoses.
PMID:37058154 | DOI:10.1007/s00108-023-01510-4
