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Dal Grande A, Van Herck M, Breyer-Kohansal R, Mraz T, Karimi A, Azizzadeh M, Hartl S, Burghuber OC, Wouters EFM, Kautzky-Willer A, Schiffers C, Breyer MK. Incidence of Prediabetes and Diabetes in a European Longitudinal General Population Cohort and Its Associated Factors-Results From the Austrian LEAD Study. J Diabetes Res 2025; 2025:5540276. [PMID: 40309217 PMCID: PMC12041627 DOI: 10.1155/jdr/5540276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 12/09/2024] [Accepted: 01/28/2025] [Indexed: 05/02/2025] Open
Abstract
Aims: This study evaluates the incidence of (pre)diabetes in an Austrian population over a broad age span and addresses whether alterations in lifestyle, blood markers, and body composition are associated with the development of (pre)diabetes. Material and Methods: Data from the first and second phases of the Austrian LEAD study, a longitudinal population-based cohort study, were used. Inclusion criteria were a valid glycaemic status (i.e., normoglycaemia, prediabetes, and diabetes) at both phases using American Diabetes Association criteria. Besides blood samples, body composition parameters and an interviewer-administered questionnaire were assessed. A binary logistic regression was performed to answer the research question. Results: In total, 7822 individuals (51% females, 46 ± 19 years with 9.6% aged < 18 years, median follow-up time 4.1 [3.9-4.5] years) were included. The overall incidence rate was estimated at 63.0 (95% CI [59.7; 66.3]) and 8.4 (95% CI [7.4; 9.5]) per 1000 person-years for prediabetes and diabetes, respectively. In the 6-<10-, 10-<20-, and 20-<30-year age bins, an incidence rate of, respectively, 30.2, 16.3, and 13.4 per 1000 person-years (prediabetes) and 2.0, 3.5, and 1.3 (diabetes) was observed. Further, 38.3% of diabetic individuals at Visit 2 were undiagnosed and thus untreated. Factors identified as being significantly associated with progression towards (pre)diabetes included changes in triglycerides, high-density lipoprotein cholesterol, total cholesterol, and visceral adipose tissue mass, besides male sex, older age, low education level, and urban residence. Conclusions: The overall incidence of (pre)diabetes in the Austrian population is high and highlights the need for screening from a young age and on a regular basis so that preventive and treatment strategies can be implemented at an early stage. Trial Registration: ClinicalTrials.gov identifier: NCT01727518.
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Affiliation(s)
- Amiria Dal Grande
- Department of Internal Medicine, Protestant Hospital, Vienna, Austria
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Maarten Van Herck
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
| | - Robab Breyer-Kohansal
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Clinic Hietzing, Vienna Healthcare Group, Vienna, Austria
| | - Tobias Mraz
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Site Penzing of Clinic Ottakring, Vienna Healthcare Group, Vienna, Austria
| | - Ahmad Karimi
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
| | - Mohammad Azizzadeh
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
| | - Sylvia Hartl
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
| | - Otto C. Burghuber
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
| | - Emiel F. M. Wouters
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- NUTRIM, School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands
- Faculty of Medicine, Sigmund Freud Private University, Vienna, Austria
| | - Alexandra Kautzky-Willer
- Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
| | | | - Marie K. Breyer
- Ludwig Boltzmann Institute for Lung Health, Vienna, Austria
- Department of Respiratory and Pulmonary Diseases, Site Penzing of Clinic Ottakring, Vienna Healthcare Group, Vienna, Austria
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Simon M, Dreyer S, Joost I, Rubbert C, Schipper J, Kristin J. Skull base osteomyelitis: HBO as a therapeutic concept Effects on clinical and radiological results. Eur Arch Otorhinolaryngol 2025; 282:1835-1842. [PMID: 39613850 PMCID: PMC11950119 DOI: 10.1007/s00405-024-09081-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2024] [Accepted: 11/07/2024] [Indexed: 12/01/2024]
Abstract
INTRODUCTION Skull base osteomyelitis is a rare but potentially life-threatening disease. It usually occurs as a complication of severe otitis externa or infection in the nasopharynx, often in immunocompromised patients. The therapeutic strategy is complex, patient-specific and requires interdisciplinary cooperation. MATERIAL AND METHOD A retrospective evaluation of all patients with skull base osteomyelitis at the Department of Otorhinolaryngology of the University Hospital Duesseldorf from 2006 to 2023 was carried out. It was investigated which factors, in addition to treatment regimens (antibiotic therapy with i.v./oral antibiotics, surgical debridement and HBO therapy) have an influence on the clinical, laboratory and morphological outcome of the patients. RESULTS A total of 42 patients who received interdisciplinary treatment in our clinic were included in the study, of whom 71.4% were male and 28.6% female. The tissue samples showed an inflammatory process, with detection of Pseudomonas aeruginosa in 68.4% of patients. A total of 61.9% of patients presented cranial nerve deficits, most frequently facial nerve palsy. A total of 66.7% of patients received HBO therapy. Of these, n = 20/23 patients (87%) with HBO improved and achieved regression in the follow-up imaging. Known patient-specific factors were confirmed and HBO was emphasized as an important component of the multimodal therapy concept. HBO appears to be justified and should continue to be included in the treatment regimen in the future. For this reason, patients with SBO should be sent to a center that offers HBO therapy.
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Affiliation(s)
- Miriam Simon
- Department of Otorhinolaryngology, Duesseldorf University Hospital, Moorenstrasse 5, 40225, Duesseldorf, Germany.
| | - Sven Dreyer
- Department of Orthopedics and Trauma Surgery, Duesseldorf University Hospital, Moorenstrasse 5, 40225, Duesseldorf, Germany
| | - Insa Joost
- Department of Medical Microbiology and Hospital Hygiene, Duesseldorf University Hospital, Moorenstrasse 5, 40225, Duesseldorf, Germany
| | - Christian Rubbert
- Department of Diagnostic and Interventional Radiology (Neuroradiology), Duesseldorf University Hospital, Moorenstrasse 5, 40225, Duesseldorf, Germany
| | - Jörg Schipper
- Department of Otorhinolaryngology, Duesseldorf University Hospital, Moorenstrasse 5, 40225, Duesseldorf, Germany
| | - Julia Kristin
- Department of Otorhinolaryngology, Duesseldorf University Hospital, Moorenstrasse 5, 40225, Duesseldorf, Germany
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Bauer J, Hegewald J, Rossnagel K, Jankowiak S, Prigge M, Chalabi J, Nübling M, Freiberg A, Riechmann-Wolf M, Dietz P, Wild PS, Koeck T, Beutel ME, Pfeiffer N, Lackner KJ, Münzel T, Strauch K, Lurz P, Tüscher O, Weinmann-Menke J, Konstantinides S, Seidler A. Incidence of type 2 diabetes and metabolic syndrome by Occupation - 10-Year follow-up of the Gutenberg Health Study. BMC Public Health 2025; 25:502. [PMID: 39920598 PMCID: PMC11803924 DOI: 10.1186/s12889-025-21732-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2024] [Accepted: 01/31/2025] [Indexed: 02/09/2025] Open
Abstract
BACKGROUND In view of demographic change, rising retirement age, and a growing shortage of skilled workers, it is increasingly important to prevent widespread diseases such as type 2 diabetes or its risk factor metabolic syndrome. Since the workplace is an important setting for preventive measures and little is known about incident cases in the working population, the aim of this study was to identify vulnerable occupational groups for whom these interventions are particularly appropriate. Therefore, we investigated the 10-year incidence of type 2 diabetes and metabolic syndrome across occupational groups in Germany. METHODS Employees of the population-based Gutenberg-Health-Study (GHS) were examined at baseline (2007-2012) and 10 years later. We calculated age- and sex-standardised incidence rates and standardised incidence ratios (SIR) with a 95% confidence interval (CI) for occupations, job complexity levels, and supervisory and managerial positions. 5954 persons at risk for type 2 diabetes and 5103 at risk for metabolic syndrome were observed. RESULTS Between baseline and follow-up, 388 cases of type 2 diabetes and 1104 cases of metabolic syndrome occurred, and standardised incidences were 6.9% and 22.6%, respectively. The highest incidence of type 2 diabetes was observed in the occupational group "food production and processing" (20.7%) with a threefold increased incidence (SIR = 3.0, 95% CI 1.8-4.7) compared to the total working population of the GHS. Employees in "metal production, processing and construction" had the highest incidence of metabolic syndrome and a two times higher SIR (48.5%; SIR = 2.1, 95% CI 1.4-2.9). There was also a high incidence of both type 2 diabetes and metabolic syndrome in "cleaners" (16.5% and 34.8%) and "drivers and mobile plant operators" (14.8% and 41.2%). An increased incidence of type 2 diabetes and metabolic syndrome was observed with decreasing job complexity levels. CONCLUSIONS This study shows wide differences in the incidence of type 2 diabetes and metabolic syndrome between occupational groups and highlights the vulnerability of certain occupations. As the workplace is an important platform for interventions, the findings of this study could guide the development of more nuanced and effective workplace health initiatives to promote a healthier workforce for the future.
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Affiliation(s)
- Juliane Bauer
- Division Work and Health, Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany.
| | - Janice Hegewald
- Division Work and Health, Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany
| | - Karin Rossnagel
- Division Work and Health, Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany
| | - Sylvia Jankowiak
- Division Work and Health, Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany
| | - Michaela Prigge
- Division Work and Health, Federal Institute for Occupational Safety and Health (BAuA), Berlin, Germany
| | - Julian Chalabi
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Matthias Nübling
- FFAW: Freiburg Research Centre for Occupational Sciences, Freiburg, Germany
| | - Alice Freiberg
- Institute and Policlinic of Occupational and Social Medicine (IPAS), Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Merle Riechmann-Wolf
- Institute of Occupational, Social, and Environmental Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Pavel Dietz
- Institute of Occupational, Social, and Environmental Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Philipp S Wild
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- Center for Thrombosis and Hemostasis (CTH), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
- Institute of Molecular Biology (IMB), Mainz, Germany
| | - Thomas Koeck
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Manfred E Beutel
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Norbert Pfeiffer
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Karl J Lackner
- Institute for Clinical Chemistry and Laboratory Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Thomas Münzel
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, Mainz, Germany
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Konstantin Strauch
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Philipp Lurz
- Department of Cardiology - Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Oliver Tüscher
- Department of Psychiatry and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Julia Weinmann-Menke
- Department of Nephrology and Rheumatology, Center of Immunotherapy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Stavros Konstantinides
- Center for Thrombosis and Hemostasis (CTH), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Andreas Seidler
- Institute and Policlinic of Occupational and Social Medicine (IPAS), Faculty of Medicine, TU Dresden, Dresden, Germany
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Azizpour Y, Asgari S, Yaseri M, Fotouhi A, Akbarpour S. Indirect estimation of the prevalence of type 2 diabetes mellitus in the sub-population of Tehran: using non-laboratory risk-score models in Iran. BMC Public Health 2024; 24:2797. [PMID: 39395938 PMCID: PMC11470634 DOI: 10.1186/s12889-024-20278-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 10/03/2024] [Indexed: 10/14/2024] Open
Abstract
BACKGROUND The prevalence of type 2 diabetes mellitus (T2DM) in the population covered by the Tehran University of Medical Sciences is unclear but crucial for healthcare programs. This study aims to validate four non-laboratory risk-score models, the American Diabetes Association (ADA) Risk Score, Australian Type 2 Diabetes Risk Assessment Tool (AUSDRISK), Finnish Diabetes Risk Score (FINDRISC), and TOPICS Diabetes Screening Score, for identifying undiagnosed diabetes and indirectly estimate the prevalence of T2DM in a subset of the Tehranian population using the selected model. METHODS This research consisted of two main parts. In the first part, non-laboratory risk-score models to identify undiagnosed T2DM were validated using Iranian data from STEPs 2016 survey. The model performance was evaluated through the Area Under the Curve (AUC) and calibration via the observed-to-expected (O/E) ratio. Additional independent data from STEPs 2011 survey in Iran were utilized to test the model results by comparing indirect prevalence estimates with observed estimates. In the second part, the prevalence of T2DM was estimated indirectly by applying the selected model to a representative random sample from a Tehranian population telephone survey conducted in 2023. RESULTS Among the different models used, AUSDRISK showed the best performance in both discrimination (AUC (95% confidence interval (CI)): 0.80 (0.78, 0.81)) and calibration (O/E ratio = 1.01). After updating the original model, there was no change in the AUC value or calibration. Additionally, our findings indicate that the indirect estimates are nearly identical to the observed values in STEPs 2011 survey. In the second part of the study, by applying the recalibrated model to a subsample, the indirect prevalence of undiagnosed diabetes and T2DM (95% CI) were estimated at 4.18% (3.87, 4.49) and 11.1% (9.34, 13.1), respectively. CONCLUSION Given the strong performance of the model, it appears that indirect method can provide a cost-effective and simple approach to assess disease prevalence and intervention effectiveness.
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Affiliation(s)
- Yosra Azizpour
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Samaneh Asgari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Yaseri
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Akbar Fotouhi
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
| | - Samaneh Akbarpour
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
- Sleep Breathing Disorders Research Center (SBDRC), Tehran University of Medical Sciences, Tehran, Iran.
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Vomhof M, Boersma AC, Hertroijs DFL, Kaltheuner M, Krichbaum M, Kulzer B, Icks A, Hiligsmann M. Preferences of people with diabetes for diabetes care in Germany: a discrete choice experiment. Expert Rev Pharmacoecon Outcomes Res 2024; 24:997-1007. [PMID: 38874180 DOI: 10.1080/14737167.2024.2369293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 05/28/2024] [Indexed: 06/15/2024]
Abstract
OBJECTIVES The objective of this study is to elicit health care preferences of people with diabetes and identify classes of people with different preferences. METHODS A discrete choice experiment was conducted among people with diabetes in Germany comprising attributes of role division in daily diabetes care planning, type of lifestyle education, support for correct medication intake, consultation frequency, emotional support, and time spent on self-management. A conditional logit model and a latent class model were used to elicit preferences toward diabetes care and analyze preference heterogeneity. RESULTS A total of 76 people with diabetes, recruited in two specialized diabetes care centers in Germany (mean age 51.9 years, 37.3% women, 49.1% type 2 diabetes mellitus, 50.9% type 1 diabetes mellitus), completed the discrete choice experiment. The most important attributes were consultation frequency, division in daily diabetes care planning, and correct medication intake. The latent class model detected preference heterogeneity by identifying two latent classes which differ mainly with respect to lifestyle education and medication intake. CONCLUSION While the majority of people with diabetes showed preferences in line with current health care provision in Germany, a relevant subgroup wished to strengthen lifestyle education and medication intake support with an aid or website.
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Affiliation(s)
- Markus Vomhof
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Health Services Research and Health Economics, Centre for Health and Society, Medicine and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Anna C Boersma
- Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Dorijn F L Hertroijs
- Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | | | - Michael Krichbaum
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany
- Diabetes Center Mergentheim, Bad Mergentheim, Germany
| | - Bernhard Kulzer
- Research Institute Diabetes Academy Mergentheim (FIDAM), Bad Mergentheim, Germany
- Diabetes Center Mergentheim, Bad Mergentheim, Germany
- Department of Clinical Psychology, University of Bamberg, Bamberg, Germany
| | - Andrea Icks
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
- Institute for Health Services Research and Health Economics, Centre for Health and Society, Medicine and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
| | - Mickael Hiligsmann
- Department of Health Services Research, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
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Talbot SR, Heider M, Wirth M, Jörns A, Naujok O. Exploring dose-response variability and relative severity assessment in STZ-induced diabetes male NSG mice. Sci Rep 2024; 14:16559. [PMID: 39020093 PMCID: PMC11255292 DOI: 10.1038/s41598-024-67490-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 07/11/2024] [Indexed: 07/19/2024] Open
Abstract
NSG mice are among the most immunodeficient mouse model being used in various scientific branches. In diabetelogical research diabetic NSG mice are an important asset as a xenotransplantation model for human pancreatic islets or pluripotent stem cell-derived islets. The treatment with the beta cell toxin streptozotocin is the standard procedure for triggering a chemically induced diabetes. Surprisingly, little data has been published about the reproducibility, stress and animal suffering in these NSG mice during diabetes induction. The 3R rules, however, are a constant reminder that existing methods can be further refined to minimize suffering. In this pilot study the dose-response relationship of STZ in male NSG mice was investigated and additionally animal suffering was charted by applying the novel 'Relative Severity Assessment' algorithm. By this we successfully explored an STZ dose that reliably induced diabetes while reduced stress and pain to the animals to a minimum using evidence-based and objective parameters rather than criteria that might be influenced by human bias.
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Affiliation(s)
- Steven R Talbot
- Hannover Medical School, Institute for Laboratory Animal Science, Carl-Neuberg-Straβe 1, 30625, Hannover, Germany
| | - Miriam Heider
- Hannover Medical School, Institute for Laboratory Animal Science, Carl-Neuberg-Straβe 1, 30625, Hannover, Germany
| | - Martin Wirth
- Institute of Clinical Biochemistry, Hannover Medical School, 30625, Hannover, Germany
| | - Anne Jörns
- Institute of Clinical Biochemistry, Hannover Medical School, 30625, Hannover, Germany
| | - Ortwin Naujok
- Institute of Clinical Biochemistry, Hannover Medical School, 30625, Hannover, Germany.
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Lehner CT, Eberl M, Donnachie E, Tanaka LF, Schauberger G, Schederecker F, Himmler S, Sundmacher L, Klug SJ. Incidence trend of type 2 diabetes from 2012 to 2021 in Germany: an analysis of health claims data of 11 million statutorily insured people. Diabetologia 2024; 67:1040-1050. [PMID: 38409438 PMCID: PMC11058936 DOI: 10.1007/s00125-024-06113-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 01/17/2024] [Indexed: 02/28/2024]
Abstract
AIMS/HYPOTHESIS The aim of the study is to describe the time trend of type 2 diabetes incidence in the largest state of Germany, Bavaria, from 2012 to 2021, and to compare the incidence rates during the pandemic period (2020-2021) to the pre-pandemic period (2012-2019). METHODS This secondary data analysis uses health claims data provided by the Bavarian Association of Statutory Health Insurance Physicians (KVB), covering approximately 11 million insurees, accounting for 85% of the total population of Bavaria, Germany. Newly diagnosed type 2 diabetes cases in adults (≥20 years) coded as E11 (Diabetes mellitus, Type 2) or E14 (Unspecified diabetes mellitus) under ICD-10, German modification (ICD-10-GM) for the study period 2012 to 2021 were included. Annual and quarterly age-standardised incidence rates (ASIR) stratified by sex, age and region were calculated using the European standard population. Sex-specific crude incidence rates (CIR) were calculated using 10-year age groups. Regression analyses adjusted for time trends, seasonal effects, and pandemic effects were used to analyse the incidence trend and to assess the effect of the pandemic. RESULTS Overall, 745,861 new cases of type 2 diabetes were diagnosed between 2012 and 2021: 50.4% (376,193 cases) in women. The male/female ratio remained stable over the observation period, while the median age at diagnosis decreased from 61 to 58 years in men and from 66 years to 61 years in women. ASIR were consistently higher for men compared with women, with the yearly difference remaining stable over time (2012: 18%; 2021: 20%). An overall decreasing trend in ASIR was observed during the study period, with a strong decrease from 2012 to 2017, followed by a less pronounced decline from 2018 to 2021 for both sexes. For men, ASIR decreased from 1514 per 100,000 person-years in 2012 to 995 per 100,000 person-years in 2021 (4.6% average annual reduction), and for women from 1238 per 100,000 person-years in 2012 to 796 per 100,000 person-years in 2021 (4.8% average annual reduction). This downward trend was also observed for age groups above 50 years. Regression analyses showed no significant change in incidence rates during the pandemic period (2020 and 2021) compared with the pre-pandemic period. CONCLUSIONS/INTERPRETATION For the first time, a 10-year incidence trend of type 2 diabetes is reported for Germany, showing a strong decline from 2012 to 2017, followed by a less pronounced decline from 2018 to 2021. The incidence trend of type 2 diabetes appears not to have been affected by the first 2 years of the COVID-19 pandemic. Despite an overall increasing prevalence, the incidence is decreasing, potentially resulting from robust screening by family physicians, reducing the median age at diagnosis by 3 to 5 years. However, further investigation is needed to fully identify the reasons for the declining incidence trend. Continued incidence monitoring is necessary to identify the long-term trend and the potential effect of the pandemic on diagnoses of type 2 diabetes.
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Affiliation(s)
- Carolin T Lehner
- Chair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Marian Eberl
- Chair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Ewan Donnachie
- Bavarian Association of Statutory Health Insurance Physicians, Munich, Germany
| | - Luana F Tanaka
- Chair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Gunther Schauberger
- Chair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Florian Schederecker
- Chair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Sebastian Himmler
- Chair of Health Economics, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Leonie Sundmacher
- Chair of Health Economics, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Stefanie J Klug
- Chair of Epidemiology, School of Medicine and Health, Technical University of Munich, Munich, Germany.
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8
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Safieddine B, Grasshoff J, Geyer S, Sperlich S, Epping J, Beller J. Type 2 diabetes in the employed population: do rates and trends differ among nine occupational sectors? An analysis using German health insurance claims data. BMC Public Health 2024; 24:1231. [PMID: 38702701 PMCID: PMC11069294 DOI: 10.1186/s12889-024-18705-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Accepted: 04/24/2024] [Indexed: 05/06/2024] Open
Abstract
BACKGROUND Socioeconomic inequalities in type 2 diabetes (T2D) are well established in the literature. However, within the background of changing work contexts associated with digitalization and its effect on lifestyle and sedentary behavior, little is known on T2D prevalence and trends among different occupational groups. This study aims to examine occupational sector differences in T2D prevalence and trends thereof between 2012 and 2019. METHODS The study was done on 1.683.644 employed individuals using data from the German statutory health insurance provider in Lower Saxony, the "Allgemeine Ortskrankenkasse Niedersachsen" (AOKN). Predicted probabilities for T2D prevalence in four two-year periods between 2012 and 2019 were estimated based on logistic regression analyses for nine occupational sectors. Prevalence ratios were calculated to illustrate the effect of time period on the prevalence of T2D among the nine occupational sectors. Analyses were stratified by gender and two age groups. RESULTS Results showed differences among occupational sectors in the predicted probabilities for T2D. The occupational sectors "Transport, logistics, protection and security" and "Health sector, social work, teaching & education" had the highest predicted probabilities, while those working in the sector "Agriculture" had by far the lowest predicted probabilities for T2D. Over all, there appeared to be a rising trend in T2D prevalence among younger employed individuals, with gender differences among occupational sectors. CONCLUSION The study displayed different vulnerability levels among occupational sectors with respect to T2D prevalence overall and for its rising trend among the younger age group. Specific occupations within the vulnerable sectors need to be focused upon in further research to define specific target groups to which T2D prevention interventions should be tailored.
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Affiliation(s)
| | - Julia Grasshoff
- Medical Sociology Unit, Hannover Medical School, Hannover, Germany
| | - Siegfried Geyer
- Medical Sociology Unit, Hannover Medical School, Hannover, Germany
| | | | - Jelena Epping
- Medical Sociology Unit, Hannover Medical School, Hannover, Germany
| | - Johannes Beller
- Medical Sociology Unit, Hannover Medical School, Hannover, Germany
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Luppa PB, Zeller M, Pieper M, Kaiser P, Weiss N, Vierbaum L, Freckmann G. Quality assessment of glucose measurement with regard to epidemiology and clinical management of diabetes mellitus in Germany. Front Mol Biosci 2024; 11:1371426. [PMID: 38572446 PMCID: PMC10987728 DOI: 10.3389/fmolb.2024.1371426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 03/05/2024] [Indexed: 04/05/2024] Open
Abstract
Background During the last decade, Germany has seen an increased prevalence and a redistribution from undetected to diagnosed diabetes mellitus. Due to this substantial epidemiological development, the number of people with documented type 2 diabetes was 8.7 million in 2022. An estimated two million undiagnosed subjects are to be added. Beyond that, the life expectancy of diabetic subjects is increasing due to more responsive health systems in terms of care. Possible reasons include improved screening of at-risk individuals, the introduction of HbA1c for diagnosis in 2010, and the higher use of risk scores. Additionally, quality aspects of the laboratory methodology should be taken into consideration. Methods Epidemiology and clinical management of diabetes in Germany are presented in the light of publications retrieved by a selective search of the PubMed database. Additionally, the data from German external quality assessment (EQA) surveys for the measurands glucose in plasma and HbA1c in whole blood, reviewed from 2010 until 2022, were evaluated. Above this, data concerning the analytical performance of near-patient glucometer devices, according to the ISO norm 15197:2013, were analyzed. Results Two laboratory aspects are in good accordance with the observation of an increase in the diabetes mellitus prevalence when retrospectively reviewing the period 2010 to 2022: First, the analytical performance according to the ISO norm 15197:2013 of the glucometer devices widely used by patients with diabetes for the glucose self-testing, has improved during this period. Secondly, concerning the EQA program of INSTAND, the number of participating laboratories raised significantly in Germany. The spreads of variations of the specified results for plasma glucose remained unchanged between 2010 and 2022, whereas for HbA1c a significant decrease of the result scattering could be observed. Conclusion These retrospectively established findings testify to an excellent analytical quality of laboratory diagnostics for glucose and HbA1c throughout Germany which may be involved in a better diagnosis and therapy of previously undetected diabetes mellitus.
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Affiliation(s)
- Peter B. Luppa
- Institut für Klinische Chemie und Pathobiochemie, Klinikum rechts der Isar der Technische Universität München, Munich, Germany
| | - Michael Zeller
- Institut für Klinische Chemie und Pathobiochemie, Klinikum rechts der Isar der Technische Universität München, Munich, Germany
| | - Marija Pieper
- Institut für Klinische Chemie und Pathobiochemie, Klinikum rechts der Isar der Technische Universität München, Munich, Germany
| | - Patricia Kaiser
- INSTAND e.V., Gesellschaft zur Förderung der Qualitätssicherung in Medizinischen Laboratorien e.V., Düsseldorf, Germany
| | - Nathalie Weiss
- INSTAND e.V., Gesellschaft zur Förderung der Qualitätssicherung in Medizinischen Laboratorien e.V., Düsseldorf, Germany
| | - Laura Vierbaum
- INSTAND e.V., Gesellschaft zur Förderung der Qualitätssicherung in Medizinischen Laboratorien e.V., Düsseldorf, Germany
| | - Guido Freckmann
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Ulm, Germany
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Krause L, Reitzle L, Hess S, Ziese T, Adewuyi D. [Reference evaluations for estimating prevalence, incidence, and mortality of public health relevant diseases based on routine data]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2024; 67:139-148. [PMID: 38189861 PMCID: PMC10834606 DOI: 10.1007/s00103-023-03821-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 12/07/2023] [Indexed: 01/09/2024]
Abstract
The routine data of all statutorily insured persons according to the Data Transparency Regulation (DaTraV data) represent a promising data source for the recurrent and timely surveillance of non-communicable diseases (NCDs) in Germany. Thereby, it has become apparent that there is a high demand for reference evaluations that enable quick and regularly repeatable analyses on important NCDs. Against this background, ReFern-01 was initiated, a joint project of the Robert Koch Institute (RKI) and the Federal Institute for Drugs and Medical Devices (BfArM). In collaboration with experts from the field of secondary data analysis and healthcare research, reference evaluations for estimating prevalence, incidence, and mortality for important public health-relevant diseases were developed. First, 11 central NCDs were selected by means of an online survey, and initial case definitions were created in conjunction with a literature review. These were then discussed and agreed upon in a virtual workshop. The created reference evaluations (analysis scripts) allow a standardized estimation of the mentioned epidemiological figures, which are comparable over time and regionally. In addition to providing the results, the scripts will be available at the BfArM for further analysis. Provided that remote access to the analysis of the DaTraV data is available in the future, the results of the ReFern project can strengthen the surveillance of NCDs and support public health actors, for example, in the planning and implementation of health promotion and prevention measures at the federal, state, county, and local levels.
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Affiliation(s)
- Laura Krause
- Abteilung für Epidemiologie und Gesundheitsmonitoring, FG 24 Gesundheitsberichterstattung, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland.
| | - Lukas Reitzle
- Abteilung für Epidemiologie und Gesundheitsmonitoring, FG 24 Gesundheitsberichterstattung, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Steffen Hess
- Bundesinstitut für Arzneimittel und Medizinprodukte, Forschungsdatenzentrum Gesundheit, Bonn, Deutschland
| | - Thomas Ziese
- Abteilung für Epidemiologie und Gesundheitsmonitoring, FG 24 Gesundheitsberichterstattung, Robert Koch-Institut, General-Pape-Str. 62-66, 12101, Berlin, Deutschland
| | - Davis Adewuyi
- Bundesinstitut für Arzneimittel und Medizinprodukte, Forschungsdatenzentrum Gesundheit, Bonn, Deutschland
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11
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Reitzle L, Heidemann C, Jacob J, Pawlowska-Phelan D, Ludwig M, Scheidt-Nave C. Incidence of type 1 and type 2 diabetes before and during the COVID-19 pandemic in Germany: analysis of routine data from 2015 to 2021. JOURNAL OF HEALTH MONITORING 2023; 8:2-25. [PMID: 38074488 PMCID: PMC10698802 DOI: 10.25646/11730] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 08/02/2023] [Indexed: 08/04/2024]
Abstract
BACKGROUND To date, there is no data available depicting the trend of the incidence of type 1 and type 2 diabetes across all age groups for the COVID-19 pandemic years in Germany. METHODS Based on anonymized routine data from nine million persons covered by statutory health insurance, newly diagnosed diabetes cases (ICD diagnosis E10.- to E14.-) in inpatient or (confirmed in two quarters) outpatient setting were estimated for 2015 to 2021, differentiating between type 1 and type 2 diabetes. The data were linked to the German Index of Socioeconomic Deprivation. The results are age-standardised (population as of 31 Dec. 2021). RESULTS Between 2015 and 2021, the incidence of type 1 diabetes increased from 9.5 to 11.6 per 100,000 persons (from 7,007 to 8,699 new cases per year). In contrast, the incidence of type 2 diabetes tended to decline between 2015 and 2019. It continued to drop initially in 2020 during the pandemic, and then rose to 740 per 100,000 persons in 2021 (556,318 new cases per year). The diabetes type-specific seasonal pattern of previous years has changed during the pandemic years. The incidence of both type 1 and type 2 diabetes was observed to be higher in regions of high socioeconomic deprivation as compared to regions characterised by low socioeconomic deprivation. CONCLUSIONS The increase in the incidence of type 1 and type 2 diabetes in 2021 may possibly be related to the COVID-19 pandemic. The high incidence and the differences by regional socioeconomic deprivation indicate that there is a need for targeted prevention strategies.
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Affiliation(s)
- Lukas Reitzle
- Robert Koch Institute, Berlin, Germany Department of Epidemiology and Health Monitoring
| | - Christin Heidemann
- Robert Koch Institute, Berlin, Germany Department of Epidemiology and Health Monitoring
| | - Josephine Jacob
- InGef – Institute for Applied Health Research Berlin GmbH, Germany
| | | | - Marion Ludwig
- InGef – Institute for Applied Health Research Berlin GmbH, Germany
| | - Christa Scheidt-Nave
- Robert Koch Institute, Berlin, Germany Department of Epidemiology and Health Monitoring
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12
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Tönnies T, Hoyer A, Brinks R, Kuss O, Hering R, Schulz M. Spatio-Temporal Trends in the Incidence of Type 2 Diabetes in Germany. DEUTSCHES ARZTEBLATT INTERNATIONAL 2023; 120:173-179. [PMID: 36647586 PMCID: PMC10213473 DOI: 10.3238/arztebl.m2022.0405] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 09/08/2022] [Accepted: 12/14/2022] [Indexed: 01/18/2023]
Abstract
BACKGROUND There are no data on recent trends in the incidence rate of type 2 diabetes (T2D) in Germany. The aim of this study was to determine the sex-, age-, and region-specific trends in the T2D incidence rate between 2014 and 2019. METHODS Based on nationwide data from statutorily insured persons in Germany, negative binomial regression models were used to analyze age- and sex-specific trends in the T2D incidence rate. Age- and sex-adjusted trends were calculated for 401 administrative districts using a Bayesian spatio-temporal regression model. RESULTS During the period concerned, approximately 450 000 new cases of T2D were observed each year among some 63 million persons. Taking all age groups together, the incidence rate decreased in both women and men, from 6.9 (95% confidence interval [6.7; 7.0]) and 8.4 [8.2; 8.6] respectively per 1000 persons in 2014 to 6.1 [5.9; 6.3] and 7.7 [7.5; 8.0] per 1000 persons in 2019. This corresponds to an annual reduction of 2.4% [1.5; 3.2] for women and 1.7% [0.8; 2.5] for men. The incidence rate increased in the age group 20-39 years. The age- and sex-adjusted incidence rate decreased in almost all districts, although regional differences persisted. CONCLUSION The T2D incidence rate should be closely monitored to see whether the decreasing trend continues. One must not forget that the prevalence can rise despite decreasing incidence. For this reason, the findings do not necessarily mean a decrease in the disease burden of T2D and the associated demand on healthcare resources.
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Affiliation(s)
- Thaddäus Tönnies
- German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at the Heinrich-Heine University Düsseldorf, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
| | - Annika Hoyer
- Biostatistics and Medical Biometry, Medical School OWL, Bielefeld University, Bielefeld, Germany
| | - Ralph Brinks
- German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at the Heinrich-Heine University Düsseldorf, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
- Chair for Medical Biometry and Epidemiology (MBE), Witten/Herdecke University, Faculty of Health/School of Medicine, Witten, Germany
| | - Oliver Kuss
- German Diabetes Center (DDZ), Leibniz Center for Diabetes Research at the Heinrich-Heine University Düsseldorf, Institute for Biometrics and Epidemiology, Düsseldorf, Germany
- German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany
- Centre for Health and Society, Medical Faculty and University Hospital of Düsseldorf, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Ramona Hering
- Central Research Institute for Ambulatory Health Care in Germany, Department of Data Science and Healthcare Analyses, Berlin, Germany
| | - Mandy Schulz
- Central Research Institute for Ambulatory Health Care in Germany, Department of Data Science and Healthcare Analyses, Berlin, Germany
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13
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Roth M, Lehmann T, Kloos C, Schmidt S, Kellner C, Wolf G, Müller N. Metabolic Control, Diabetic Complications and Drug Therapy in a Cohort of Patients with Type 1 and Type 2 Diabetes in Secondary and Tertiary Care between 2004 and 2019. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2631. [PMID: 36768000 PMCID: PMC9916122 DOI: 10.3390/ijerph20032631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 01/25/2023] [Accepted: 01/29/2023] [Indexed: 06/18/2023]
Abstract
This paper studies the features of metabolic parameters, diabetic complications and drug therapy of a single-centre cohort of patients with type 1 diabetes (T1DM) or type 2 diabetes (T2DM) in secondary care and tertiary care over a 15-year period. METHODS Retrospective cross-sectional analysis of four single-centre cohorts between 2004 and 2019. All patients with T1DM or T2DM in secondary care (n = 5571) or tertiary care (n = 2001) were included. Statistical analyses were performed using linear mixed models. RESULTS Diabetes duration increased in both patients with T1DM and T2DM in secondary care and tertiary care (p < 0.001). Patients in secondary care consistently showed good glycaemic control, while patients in tertiary care showed inadequate glycaemic control. All four cross-sectional cohorts showed a significant increase in the prevalence of nephropathy over time and three out of four cohorts (T1DM and T2DM in secondary care and T2DM in tertiary care) showed an increase in the prevalence of neuropathy (all p < 0.001). The incidence of severe hypoglycaemia was consistently low. The use of insulin pumps and insulin analogues in the therapy of T1DM increased significantly. CONCLUSIONS The increased prevalence of complications is likely due to older age and longer diabetes duration. Low rates of hypoglycaemia, lower limb amputations and good glycaemic control in secondary care patients indicate a good structure of patient care.
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Affiliation(s)
- Matthias Roth
- Department of Internal Medicine III, Jena University Hospital, 07747 Jena, Germany
| | - Thomas Lehmann
- Institute of Medical Statistics, Computer and Data Sciences, Jena University Hospital, 07743 Jena, Germany
| | - Christof Kloos
- Department of Internal Medicine III, Jena University Hospital, 07747 Jena, Germany
| | - Sebastian Schmidt
- Department of Internal Medicine III, Jena University Hospital, 07747 Jena, Germany
| | - Christiane Kellner
- Department of Internal Medicine III, Jena University Hospital, 07747 Jena, Germany
| | - Gunter Wolf
- Department of Internal Medicine III, Jena University Hospital, 07747 Jena, Germany
| | - Nicolle Müller
- Department of Internal Medicine III, Jena University Hospital, 07747 Jena, Germany
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Carinci F, Štotl I, Cunningham SG, Poljicanin T, Pristas I, Traynor V, Olympios G, Scoutellas V, Azzopardi J, Doggen K, Sandor J, Adany R, Løvaas KF, Jarosz-Chobot P, Polanska J, Pruna S, de Lusignan S, Monesi M, Di Bartolo P, Scheidt-Nave C, Heidemann C, Zucker I, Maurina A, Lepiksone J, Rossing P, Arffman M, Keskimäki I, Gudbjornsdottir S, Di Iorio CT, Dupont E, de Sabata S, Klazinga N, Benedetti MM. Making Use of Comparable Health Data to Improve Quality of Care and Outcomes in Diabetes: The EUBIROD Review of Diabetes Registries and Data Sources in Europe. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2021; 2:744516. [PMID: 36994337 PMCID: PMC10012140 DOI: 10.3389/fcdhc.2021.744516] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 09/08/2021] [Indexed: 12/16/2022]
Abstract
Background Registries and data sources contain information that can be used on an ongoing basis to improve quality of care and outcomes of people with diabetes. As a specific task of the EU Bridge Health project, we carried out a survey of diabetes-related data sources in Europe. Objectives We aimed to report on the organization of different sources of diabetes information, including their governance, information infrastructure and dissemination strategies for quality control, service planning, public health, policy and research. Methods Survey using a structured questionnaire to collect targeted data from a network of collaborating institutions managing registries and data sources in 17 countries in the year 2017. Results The 18 data sources participating in the study were most frequently academic centres (44.4%), national (72.2%), targeting all types of diabetes (61.1%) covering no more than 10% of the target population (44.4%). Although population-based in over a quarter of cases (27.8%), sources relied predominantly on provider-based datasets (38.5%), fewer using administrative data (16.6%). Data collection was continuous in the majority of cases (61.1%), but 50% could not perform data linkage. Public reports were more frequent (72.2%) as well as quality reports (77.8%), but one third did not provide feedback to policy and only half published ten or more peer reviewed papers during the last 5 years. Conclusions The heterogeneous implementation of diabetes registries and data sources hampers the comparability of quality and outcomes across Europe. Best practices exist but need to be shared more effectively to accelerate progress and deliver equitable results for people with diabetes.
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Affiliation(s)
- Fabrizio Carinci
- Department of Statistical Sciences, University of Bologna, Bologna, Italy
| | - Iztok Štotl
- Department of Endocrinology, Diabetes and Metabolic Diseases, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Scott G. Cunningham
- Department of Population Health and Genomics, University of Dundee, Dundee, United Kingdom
| | - Tamara Poljicanin
- Division for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia
| | - Ivan Pristas
- Division for Health Informatics and Biostatistics, Croatian Institute of Public Health, Zagreb, Croatia
| | - Vivie Traynor
- Diabetes Department, Larnaca Hospital Cyprus, Larnaca, Cyprus
| | - George Olympios
- Diabetes Department, Larnaca Hospital Cyprus, Larnaca, Cyprus
| | - Vasos Scoutellas
- Diabetes Department, Larnaca Hospital Cyprus, Larnaca, Cyprus
- Health Monitoring Unit, Ministry of Health, Nicosia, Cyprus
| | | | - Kris Doggen
- Health Services Research, Sciensano, Brussels, Belgium
| | - János Sandor
- Department of Public Health and Epidemiology, School of Health Sciences, University of Debrecen, Debrecen, Hungary
| | - Roza Adany
- Department of Public Health and Epidemiology, School of Health Sciences, University of Debrecen, Debrecen, Hungary
| | - Karianne F. Løvaas
- Norwegian Diabetes Register for Adults, Norwegian Organisation for Quality Improvement of Laboratory Examinations (Noklus), Haraldsplass Deaconess Hospital, Bergen, Norway
| | - Przemka Jarosz-Chobot
- Department of Children’s Diabetology, Medical University of Silesia, Katowice, Poland
| | - Joanna Polanska
- Department of Data Science and Engineering, The Silesian University of Technology, Gliwice, Poland
| | | | - Simon de Lusignan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Marcello Monesi
- Diabetes Unit “Sant’Anna” Hospital Ferrara, Ferrara, Italy
- Associazione Medici Diabetologi (AMD), Rome, Italy
| | - Paolo Di Bartolo
- Associazione Medici Diabetologi (AMD), Rome, Italy
- Azienda Unità Sanitaria Locale (AUSL) Diabetes Unit Romagna, Ravenna, Italy
| | - Christa Scheidt-Nave
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Christin Heidemann
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Inbar Zucker
- Israel Center for Disease Control, Ministry of Health, Ramat Gan, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Anita Maurina
- Research and Health Statistics Department, Centre for Disease Prevention and Control of Latvia, Riga, Latvia
| | - Jana Lepiksone
- Research and Health Statistics Department, Centre for Disease Prevention and Control of Latvia, Riga, Latvia
| | | | - Martti Arffman
- Welfare State Research and Reform Unit, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Ilmo Keskimäki
- Welfare State Research and Reform Unit, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Soffia Gudbjornsdottir
- Department of Molecular and Clinical Medicine, University of Gothenburg and Sahlgrenska Hospital, Gothenburg, Sweden
| | | | - Elisabeth Dupont
- International Diabetes Federation European Region, Brussels, Belgium
| | - Stella de Sabata
- International Diabetes Federation European Region, Brussels, Belgium
| | - Niek Klazinga
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, Amsterdam, Netherlands
| | - Massimo Massi Benedetti
- International Diabetes Federation European Region, Brussels, Belgium
- Hub for International Health Research, Perugia, Italy
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15
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Sperlich S, Beller J, Epping J, Safieddine B, Tetzlaff J, Geyer S. Are Disability Rates among People with Diabetes Increasing in Germany? A Decomposition Analysis of Temporal Change between 2004 and 2015. J Aging Health 2021; 33:205-216. [PMID: 33135530 PMCID: PMC7917560 DOI: 10.1177/0898264320970324] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Objectives: We investigated changes in the prevalence of disabilities among individuals with type 2 diabetes and analyzed the contribution of comorbidities on this change. Methods: Data were drawn from the Survey of Health, Ageing, and Retirement in Europe (SHARE). We estimated predicted probabilities of impaired (instrumental) activities of daily living (IADL and ADL) by means of logistic regression. Multivariate decomposition was employed for analyzing the impact of comorbidities on changes in disability rates. Results: Among people with diabetes, ADL difficulties rose significantly from 11.3% (2004) to 19.1% (2015), while IADL difficulties increased among younger diabetics from 11.5% to 18.3%. Decomposition analysis revealed that the parallel increase in comorbidities contributed to the rise in disabilities. Discussion: We found disability rates among people with diabetes in Germany to be increasing over time, pointing toward a growing demand of tertiary prevention for these individuals to maintain functional health and quality of life.
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Affiliation(s)
| | - Johannes Beller
- Medical Sociology, Hannover Medical School, Hannover, Germany
| | - Jelena Epping
- Medical Sociology, Hannover Medical School, Hannover, Germany
| | | | | | - Siegfried Geyer
- Medical Sociology, Hannover Medical School, Hannover, Germany
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