Unlabelled: In 2016, an estimated 143,967 female and 25,315 male patients had a diagnosis of osteoporosis, accounting for 4.44% of the German population. Due to an aging population, an increase in the number of osteoporosis patients and osteoporotic fractures can be expected, posing a substantial burden on healthcare systems.
Purpose: Osteoporosis is one of the most prevalent diseases in developed countries, mainly affecting older adults. It leads to decreased bone mass, bone microarchitecture deterioration, and increased risk of fracture. This epidemiological study investigated the prevalence and incidence of osteoporosis diagnoses and assessed the number of osteoporosis patients who are at high risk of vertebral/femoral fracture.
Methods: We analyzed German claims data (AOK PLUS) covering 2010-2016. All included patients were diagnosed with osteoporosis (ICD-10 M80.*/M81.*). Vertebral/femoral and other fractures were identified based on respective ICD-10 codes. Patient numbers were extrapolated to the entire German population, based on patient age and gender.
Results: In 2016, 169,282 patients (143,967 females and 25,315 males) had prevalent osteoporosis, 25,996 (20,425 females and 5571 males) of which were newly diagnosed that year. Extrapolated prevalence for Germany was 3.61 million patients (4.44% of the German population). Extrapolated incidence was 0.62 million patients. Of patients with prevalent osteoporosis, 13,613 experienced an incident vertebral/femoral fracture in 2016 (German extrapolation: 258,957 patients). Of these, 36.88% received an osteoporosis treatment that year.
Conclusion: Our study identified a high number of prevalent and incident patients with osteoporosis claims in Germany. The increasing age of the German population will likely lead to a significant increase in the number of patients with osteoporosis over the next decades. Treatment of osteoporosis patients with high fracture risk, especially those with a recent vertebral/femoral fracture, should be of particular focus, as a substantial proportion does not receive a guideline-based treatment.
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http://dx.doi.org/10.1007/s11657-020-00800-w | DOI Listing |
Cardiovasc Diabetol
January 2025
Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.
Background: Existing cardiovascular risk prediction models still have room for improvement in patients with type 2 diabetes who represent a high-risk population. This study evaluated whether adding metabolomic biomarkers could enhance the 10-year prediction of major adverse cardiovascular events (MACE) in these patients.
Methods: Data from 10,257 to 1,039 patients with type 2 diabetes from the UK Biobank (UKB) and the German ESTHER cohort, respectively, were used for model derivation, internal and external validation.
BMC Psychiatry
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology, Goethe University Frankfurt, Varrentrappstr. 40-42, 60486, Frankfurt am Main, Germany.
Background: Greater therapeutic alliance has been associated with an improved treatment outcome in various clinical populations. However, there is a lack of evidence for this association in posttraumatic stress disorder (PTSD) in young patients. We therefore investigated the development of the therapeutic alliance during Developmentally adapted cognitive processing therapy (D-CPT) in adolescents and young adults with PTSD following abuse to answer the question whether there was a connection between the therapeutic alliance and symptom reduction.
View Article and Find Full Text PDFBundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz
January 2025
Hertie School - University of Governance, Berlin, Deutschland.
About ten years ago, studies on health literacy in Germany indicated that population health literacy was low. This prompted a group of distinguished experts to initiate the development of a National Action Plan for Health Literacy (NAP-HL) for Germany, modeled after those of other countries. This article explains the origins and development of the plan in Germany, provides an overview of the steps taken during its creation, and summarizes its content.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany.
Aging affects the 12-lead electrocardiogram (ECG) and correlates with cardiovascular disease (CVD). AI-ECG models estimate aging effects as a novel biomarker but have only been evaluated on single ECGs-without utilizing longitudinal data. We validated an AI-ECG model, originally trained on Brazilian data, using a German cohort with over 20 years of follow-up, demonstrating similar performance (r = 0.
View Article and Find Full Text PDFNat Commun
January 2025
School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, China.
Heatwaves are commonly simplified as binary variables in epidemiological studies, limiting the understanding of heatwave-mortality associations. Here we conduct a multi-country study across 28 East Asian cities that employed the Cumulative Excess Heatwave Index (CEHWI), which represents excess heat accumulation during heatwaves, to explore the potentially nonlinear associations of daytime-only, nighttime-only, and day-night compound heatwaves with mortality from 1981 to 2010. Populations exhibited high adaptability to daytime-only and nighttime-only heatwaves, with non-accidental mortality risks increasing only at higher CEHWI levels (75th-90th percentiles).
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