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Weiß M, Gutzeit J, Appel KS, Bahmer T, Beutel M, Deckert J, Fricke J, Hanß S, Hettich-Damm N, Heuschmann PU, Horn A, Jauch-Chara K, Kohls M, Krist L, Lorenz-Depiereux B, Otte C, Pape D, Reese JP, Schreiber S, Störk S, Vehreschild JJ, Hein G. Depression and fatigue six months post-COVID-19 disease are associated with overlapping symptom constellations: A prospective, multi-center, population-based cohort study. J Affect Disord 2024; 352:296-305. [PMID: 38360365 DOI: 10.1016/j.jad.2024.02.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/30/2024] [Accepted: 02/12/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Depression and fatigue are commonly observed sequelae following viral diseases such as COVID-19. Identifying symptom constellations that differentially classify post-COVID depression and fatigue may be helpful to individualize treatment strategies. Here, we investigated whether self-reported post-COVID depression and post-COVID fatigue are associated with the same or different symptom constellations. METHODS To address this question, we used data from COVIDOM, a population-based cohort study conducted as part of the NAPKON-POP platform. Data were collected in three different German regions (Kiel, Berlin, Würzburg). We analyzed data from >2000 individuals at least six months past a PCR-confirmed COVID-19 disease, using elastic net regression and cluster analysis. The regression model was developed in the Kiel data set, and externally validated using data sets from Berlin and Würzburg. RESULTS Our results revealed that post-COVID depression and fatigue are associated with overlapping symptom constellations consisting of difficulties with daily activities, perceived health-related quality of life, chronic exhaustion, unrestful sleep, and impaired concentration. Confirming the overlap in symptom constellations, a follow-up cluster analysis could categorize individuals as scoring high or low on depression and fatigue but could not differentiate between both dimensions. LIMITATIONS The data presented are cross-sectional, consisting primarily of self-reported questionnaire or medical records rather than biometric data. CONCLUSIONS In summary, our results suggest a strong link between post-COVID depression and fatigue, highlighting the need for integrative treatment approaches.
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Affiliation(s)
- Martin Weiß
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany.
| | - Julian Gutzeit
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany
| | - Katharina S Appel
- Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Frankfurt, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I for Internal Medicine, Cologne, Germany
| | - Thomas Bahmer
- Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany; Airway Research Center North (ARCN), German Center for Lung Research (DZL), Wöhrendamm 80, 22927 Großhansdorf, Germany
| | - Manfred Beutel
- Department for Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Untere Zahlbacher Str. 8, 55131 Mainz, Germany
| | - Jürgen Deckert
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Germany
| | - Sabine Hanß
- Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany
| | - Nora Hettich-Damm
- Department for Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Untere Zahlbacher Str. 8, 55131 Mainz, Germany
| | - Peter U Heuschmann
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center, Department of Internal Medicine I, University Hospital Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany; Clinical Trial Center Würzburg (CTC/ZKS), University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Institute of Medical Data Science, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Anna Horn
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Institute of Medical Data Science, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Kamila Jauch-Chara
- Department of Psychiatry and Psychotherapy, Christian-Albrechts-Universität zu Kiel, Kiel, Germany
| | - Mirjam Kohls
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Germany
| | | | - Christian Otte
- Charité - Universitätsmedizin Berlin, Department of Psychiatry and Neurosciences, Campus Benjamin Franklin, Berlin, Germany
| | - Daniel Pape
- Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany; Institute of Medical Data Science, University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Stefan Schreiber
- Department I of Internal Medicine, UKSH Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Stefan Störk
- Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center, Department of Internal Medicine I, University Hospital Würzburg, Am Schwarzenberg 15, 97078 Würzburg, Germany
| | - Jörg Janne Vehreschild
- Goethe University Frankfurt, University Hospital, Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Frankfurt, Germany; University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I for Internal Medicine, Cologne, Germany; German Centre for Infection Research (DZIF), partner site Bonn-Cologne, Cologne, Germany
| | - Grit Hein
- University Hospital Würzburg, Center of Mental Health, Department of Psychiatry, Psychosomatic and Psychotherapy, Margarete-Höppel-Platz 1, 97080 Würzburg, Germany
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2
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Appel KS, Nürnberger C, Bahmer T, Förster C, Polidori MC, Kohls M, Kraus T, Hettich-Damm N, Petersen J, Blaschke S, Bröhl I, Butzmann J, Dashti H, Deckert J, Dreher M, Fiedler K, Finke C, Geisler R, Hanses F, Hopff SM, Jensen BEO, Konik M, Lehnert K, de Miranda SMN, Mitrov L, Miljukov O, Reese JP, Rohde G, Scherer M, Tausche K, Tebbe JJ, Vehreschild JJ, Voit F, Wagner P, Weigl M, Lemhöfer C. Definition of the Post-COVID syndrome using a symptom-based Post-COVID score in a prospective, multi-center, cross-sectoral cohort of the German National Pandemic Cohort Network (NAPKON). Infection 2024:10.1007/s15010-024-02226-9. [PMID: 38587752 DOI: 10.1007/s15010-024-02226-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 02/25/2024] [Indexed: 04/09/2024]
Abstract
PURPOSE The objective examination of the Post-COVID syndrome (PCS) remains difficult due to heterogeneous definitions and clinical phenotypes. The aim of the study was to verify the functionality and correlates of a recently developed PCS score. METHODS The PCS score was applied to the prospective, multi-center cross-sectoral cohort (in- and outpatients with SARS-CoV-2 infection) of the "National Pandemic Cohort Network (NAPKON, Germany)". Symptom assessment and patient-reported outcome measure questionnaires were analyzed at 3 and 12 months (3/12MFU) after diagnosis. Scores indicative of PCS severity were compared and correlated to demographic and clinical characteristics as well as quality of life (QoL, EQ-5D-5L). RESULTS Six hundred three patients (mean 54.0 years, 60.6% male, 82.0% hospitalized) were included. Among those, 35.7% (215) had no and 64.3% (388) had mild, moderate, or severe PCS. PCS severity groups differed considering sex and pre-existing respiratory diseases. 3MFU PCS worsened with clinical severity of acute infection (p = .011), and number of comorbidities (p = .004). PCS severity was associated with poor QoL at the 3MFU and 12MFU (p < .001). CONCLUSION The PCS score correlated with patients' QoL and demonstrated to be instructive for clinical characterization and stratification across health care settings. Further studies should critically address the high prevalence, clinical relevance, and the role of comorbidities. TRAIL REGISTRATION NUMBER The cohort is registered at www. CLINICALTRIALS gov under NCT04768998.
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Affiliation(s)
- Katharina S Appel
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany.
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.
| | - Carolin Nürnberger
- Institute for Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
| | - Thomas Bahmer
- Internal Medicine Department I, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany
- Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany
| | - Christian Förster
- Institute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany
| | - Maria Cristina Polidori
- Department II of Internal Medicine and Center for Molecular Medicine Cologne, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
- CECAD, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Mirjam Kohls
- Institute for Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Tanja Kraus
- Institute of General Practice and Interprofessional Care, University Hospital Tübingen, Tübingen, Germany
| | - Nora Hettich-Damm
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Mainz, Mainz, Germany
| | - Julia Petersen
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Mainz, Mainz, Germany
| | - Sabine Blaschke
- Emergency Department, University Medical Center Göttingen, Göttingen, Germany
| | - Isabel Bröhl
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Jana Butzmann
- Medical Faculty, Institute of Medical Microbiology and Hospital Hygiene, University Hospital Magdeburg, Otto-Von-Guericke University Magdeburg, Magdeburg, Germany
| | - Hiwa Dashti
- Practice for General Medicine Dashti, Eberswalde, Germany
| | - Jürgen Deckert
- Center of Mental Health, Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Michael Dreher
- Department of Pneumology and Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Karin Fiedler
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Carsten Finke
- Department of Neurology, Charité Berlin, Berlin, Germany
| | - Ramsia Geisler
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Frank Hanses
- Emergency Department and Department for Infection Control an Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
| | - Sina M Hopff
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Björn-Erik O Jensen
- Department of Gastroenterology, Hepatology and Infectious Diseases, Medical Faculty, Düsseldorf University Hospital, Heinrich Heine University, Düsseldorf, Germany
| | - Margarethe Konik
- Department of Infectious Diseases, West German Centre of Infectious Diseases, University Medicine Essen, University Duisburg-Essen, Essen, Germany
| | - Kristin Lehnert
- DZHK (German Center for Cardiovascular Research), University Medicine Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Susana M Nunes de Miranda
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Lazar Mitrov
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Olga Miljukov
- Institute for Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
| | - Jens-Peter Reese
- Institute for Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
| | - Gernot Rohde
- Department of Respiratory Medicine, Goethe University Frankfurt, University Hospital, Medical Clinic I, Frankfurt/Main, Germany
| | - Margarete Scherer
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany
| | - Kristin Tausche
- Department of Internal Medicine I, University Hospital Carl Gustav Carus TU Dresden, Dresden, Germany
| | - Johannes J Tebbe
- Department of Gastroenterology and Infectious Diseases, Klinikum Lippe, Lippe, Germany
| | - Jörg Janne Vehreschild
- Center for Internal Medicine, Medical Department 2 (Hematology/Oncology and Infectious Diseases), Goethe University Frankfurt, University Hospital, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
- German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany
| | - Florian Voit
- Department of Internal Medicine II, School of Medicine, University Hospital Rechts der Isar, Technical University of Munich, Munich, Germany
| | - Patricia Wagner
- Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - Martin Weigl
- Department of Orthopaedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital, LMU Munich, Munich, Germany
| | - Christina Lemhöfer
- Institute of Physical and Rehabilitation Medicine, Jena University Hospital/Friedrich-Schiller-University Jena, Jena, Germany
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3
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Brandstetter LS, Jírů-Hillmann S, Störk S, Heuschmann PU, Wöckel A, Reese JP. Differences in Preferences for Drug Therapy Between Patients with Metastatic Versus Early-Stage Breast Cancer: A Systematic Literature Review. Patient 2024:10.1007/s40271-024-00679-6. [PMID: 38451419 DOI: 10.1007/s40271-024-00679-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/11/2024] [Indexed: 03/08/2024]
Abstract
INTRODUCTION Compared with early stages (eBC) metastatic BC (mBC) is incurable. In mBC, aggressive treatment may increase the duration of survival but may also cause severe treatment side effects. A better understanding how patients with BC value different aspects of drug therapy might improve treatment effectiveness, satisfaction and adherence. This systematic review aims to identify and summarise studies evaluating patient preferences for drug therapy of BC and to compare preferences of patients with eBC and mBC. METHODS The systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The electronic databases PubMed and Web of Science were searched on 22 June 2023. All studies published to this point were considered. Original studies reporting patient preferences on BC drug therapy determined by any type of choice experiment were eligible. A narrative synthesis of the effect measures presented as relative importance ratings, trade-offs (required benefit to make a therapy worthwhile) or monetary values of the treatment attributes was reported for each study. Risk of bias assessment for individual studies was performed using the checklist for observational studies from the STROBE Statement and the checklist from 'Conducting Discrete Choice Experiments to Inform Healthcare Decision Making: A User's Guide'. The study protocol was registered at the PROSPERO database (CRD42022377031). RESULTS A total of 34 studies met the inclusion criteria were included in the analysis evaluating the preferences of patients with eBC (n = 18), mBC (n = 10) or any stage BC (n = 6) on, for example, chemotherapy, endocrine therapy, hormonal therapy or CKD4/6-inhibitors using different types of choice experiments. Regardless of the stage, most patients valued treatment effectiveness in terms of survival gains higher than potential adverse drug reactions (ADRs). Treatment cost, mode of administration, treatment regimen and monitoring aspects were considered as least important treatment attributes. In addition, preferences concerning 16 different types of ADRs were described, showing high heterogeneity within BC stages. Yet, comparable results across BC stages were observed. CONCLUSIONS Regardless of the stage, patients with BC consistently valued survival gains as the most important attribute and were willing to accept the risk of potential ADRs. Incorporating patient preferences in shared decision making may improve the effectiveness of interventions by enhancing adherence to drug therapy in patients suffering from BC.
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Affiliation(s)
- Lilly Sophia Brandstetter
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilian University Würzburg, Würzburg, Germany.
| | - Steffi Jírů-Hillmann
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilian University Würzburg, Würzburg, Germany
| | - Stefan Störk
- Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany
- Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Peter Ulrich Heuschmann
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilian University Würzburg, Würzburg, Germany
- Clinical Trial Centre Würzburg, University Hospital Würzburg, Würzburg, Germany
- Institute of medical Data Science, University Hospital Würzburg, Würzburg, Germany
| | - Achim Wöckel
- Department of Gynaecology and Obstetrics, University Hospital of Würzburg, University Hospital Würzburg, Würzburg, Germany
| | - Jens-Peter Reese
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilian University Würzburg, Würzburg, Germany
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4
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Lange B, Jaeger VK, Harries M, Rücker V, Streeck H, Blaschke S, Petersmann A, Toepfner N, Nauck M, Hassenstein MJ, Dreier M, von Holt I, Budde A, Bartz A, Ortmann J, Kurosinski MA, Berner R, Borsche M, Brandhorst G, Brinkmann M, Budde K, Deckena M, Engels G, Fenzlaff M, Härtel C, Hovardovska O, Katalinic A, Kehl K, Kohls M, Krüger S, Lieb W, Meyer-Schlinkmann KM, Pischon T, Rosenkranz D, Rübsamen N, Rupp J, Schäfer C, Schattschneider M, Schlegtendal A, Schlinkert S, Schmidbauer L, Schulze-Wundling K, Störk S, Tiemann C, Völzke H, Winter T, Klein C, Liese J, Brinkmann F, Ottensmeyer PF, Reese JP, Heuschmann P, Karch A. Estimates of protection levels against SARS-CoV-2 infection and severe COVID-19 in Germany before the 2022/2023 winter season: the IMMUNEBRIDGE project. Infection 2024; 52:139-153. [PMID: 37530919 PMCID: PMC10811028 DOI: 10.1007/s15010-023-02071-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 06/27/2023] [Indexed: 08/03/2023]
Abstract
PURPOSE Despite the need to generate valid and reliable estimates of protection levels against SARS-CoV-2 infection and severe course of COVID-19 for the German population in summer 2022, there was a lack of systematically collected population-based data allowing for the assessment of the protection level in real time. METHODS In the IMMUNEBRIDGE project, we harmonised data and biosamples for nine population-/hospital-based studies (total number of participants n = 33,637) to provide estimates for protection levels against SARS-CoV-2 infection and severe COVID-19 between June and November 2022. Based on evidence synthesis, we formed a combined endpoint of protection levels based on the number of self-reported infections/vaccinations in combination with nucleocapsid/spike antibody responses ("confirmed exposures"). Four confirmed exposures represented the highest protection level, and no exposure represented the lowest. RESULTS Most participants were seropositive against the spike antigen; 37% of the participants ≥ 79 years had less than four confirmed exposures (highest level of protection) and 5% less than three. In the subgroup of participants with comorbidities, 46-56% had less than four confirmed exposures. We found major heterogeneity across federal states, with 4-28% of participants having less than three confirmed exposures. CONCLUSION Using serological analyses, literature synthesis and infection dynamics during the survey period, we observed moderate to high levels of protection against severe COVID-19, whereas the protection against SARS-CoV-2 infection was low across all age groups. We found relevant protection gaps in the oldest age group and amongst individuals with comorbidities, indicating a need for additional protective measures in these groups.
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Affiliation(s)
- Berit Lange
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany.
- German Center for Infection Research (DZIF), TI BBD, Brunswick, Germany.
| | - Veronika K Jaeger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Manuela Harries
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Viktoria Rücker
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Hendrik Streeck
- Institute of Virology, Medical Faculty, University of Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Brunswick, Germany
| | - Sabine Blaschke
- Emergency Department, University Medical Center Göttingen, Göttingen, Germany
| | - Astrid Petersmann
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Oldenburg, Oldenburg, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Nicole Toepfner
- Department of Pediatrics, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, University Medicine Greifswald, Greifswald, Germany
| | - Max J Hassenstein
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Maren Dreier
- Institute for Epidemiology, Social Medicine and Health Systems Research, Hannover Medical School, Hannover, Germany
| | - Isabell von Holt
- Institute for Epidemiology, Social Medicine and Health Systems Research, Hannover Medical School, Hannover, Germany
| | - Axel Budde
- Institute of Virology, Medical Faculty, University of Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Brunswick, Germany
| | - Antonia Bartz
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Julia Ortmann
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Marc-André Kurosinski
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Reinhard Berner
- Department of Pediatrics, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Max Borsche
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Gunnar Brandhorst
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Oldenburg, Oldenburg, Germany
| | - Melanie Brinkmann
- Institute for Epidemiology, Social Medicine and Health Systems Research, Hannover Medical School, Hannover, Germany
| | - Kathrin Budde
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | | | - Geraldine Engels
- Department of Pediatrics, University Hospital Würzburg, Würzburg, Germany
| | - Marc Fenzlaff
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christoph Härtel
- Department of Pediatrics, University Hospital Würzburg, Würzburg, Germany
| | - Olga Hovardovska
- Department of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Alexander Katalinic
- Institute of Social Medicine and Epidemiology, University of Luebeck, Luebeck, Germany
| | - Katja Kehl
- Institute of Virology, Medical Faculty, University of Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Brunswick, Germany
| | - Mirjam Kohls
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Stefan Krüger
- Dimap, das Institut Für Markt- Und Politikforschung GmbH, Bonn, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | | | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Biobank Technology Platform, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Charité-Universitätsmedizin Berlin, Berlin corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Daniel Rosenkranz
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Oldenburg, Oldenburg, Germany
| | - Nicole Rübsamen
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Jan Rupp
- Department of Infectious Diseases and Microbiology, University Hospital Schleswig-Holstein, German Center for Infection Research (DZIF), Partner Site Hamburg-Lübeck-Borstel-Riems, Lübeck, Germany
| | - Christian Schäfer
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Mario Schattschneider
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Anne Schlegtendal
- University Children's Hospital, Ruhr University Bochum, Bochum, Germany
| | - Simon Schlinkert
- Dimap, das Institut Für Markt- Und Politikforschung GmbH, Bonn, Germany
| | - Lena Schmidbauer
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
| | - Kai Schulze-Wundling
- Institute of Virology, Medical Faculty, University of Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Brunswick, Germany
| | - Stefan Störk
- Department of Clinical Research and Epidemiology, Comprehensive Heart Failure Center (CHFC), and Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany
| | | | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Theresa Winter
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christine Klein
- Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Johannes Liese
- Department of Pediatrics, University Hospital Würzburg, Würzburg, Germany
| | - Folke Brinkmann
- University Children's Hospital, Ruhr University Bochum, Bochum, Germany
| | - Patrick F Ottensmeyer
- Institute of Virology, Medical Faculty, University of Bonn, Bonn, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Brunswick, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
| | - Peter Heuschmann
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-Universität Würzburg, Würzburg, Germany
- Institute for Medical Data Science, University Hospital Würzburg, Würzburg, Germany
- Clinical Trial Center, University Hospital Würzburg, Würzburg, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
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5
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Tilch K, Hopff SM, Appel K, Kraus M, Lorenz-Depiereux B, Pilgram L, Anton G, Berger S, Geisler R, Haas K, Illig T, Krefting D, Lorbeer R, Mitrov L, Muenchhoff M, Nauck M, Pley C, Reese JP, Rieg S, Scherer M, Stecher M, Stellbrink C, Valentin H, Winter C, Witzenrath M, Vehreschild JJ. Ethical and coordinative challenges in setting up a national cohort study during the COVID-19 pandemic in Germany. BMC Med Ethics 2023; 24:84. [PMID: 37848886 PMCID: PMC10583323 DOI: 10.1186/s12910-023-00959-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 09/22/2023] [Indexed: 10/19/2023] Open
Abstract
With the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), global researchers were confronted with major challenges. The German National Pandemic Cohort Network (NAPKON) was launched in fall 2020 to effectively leverage resources and bundle research activities in the fight against the coronavirus disease 2019 (COVID-19) pandemic. We analyzed the setup phase of NAPKON as an example for multicenter studies in Germany, highlighting challenges and optimization potential in connecting 59 university and nonuniversity study sites. We examined the ethics application process of 121 ethics submissions considering durations, annotations, and outcomes. Study site activation and recruitment processes were investigated and related to the incidence of SARS-CoV-2 infections. For all initial ethics applications, the median time to a positive ethics vote was less than two weeks and 30 of these study sites (65%) joined NAPKON within less than three weeks each. Electronic instead of postal ethics submission (9.5 days (Q1: 5.75, Q3: 17) vs. 14 days (Q1: 11, Q3: 26), p value = 0.01) and adoption of the primary ethics vote significantly accelerated the ethics application process. Each study center enrolled a median of 37 patients during the 14-month observation period, with large differences depending on the health sector. We found a positive correlation between recruitment performance and COVID-19 incidence as well as hospitalization incidence. Our analysis highlighted the challenges and opportunities of the federated system in Germany. Digital ethics application tools, adoption of a primary ethics vote and standardized formal requirements lead to harmonized and thus faster study initiation processes during a pandemic.
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Affiliation(s)
- Katharina Tilch
- Faculty of Medicine, Department I of Internal Medicine, Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf, University of Cologne, University Hospital Cologne, Cologne, Germany.
| | - Sina M Hopff
- Faculty of Medicine, Department I of Internal Medicine, Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf, University of Cologne, University Hospital Cologne, Cologne, Germany
| | - Katharina Appel
- Department of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Monika Kraus
- Helmholtz Center Munich, Institute of Epidemiology, Research Unit Molecular Epidemiology, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich, Munich, Germany
| | - Bettina Lorenz-Depiereux
- Helmholtz Center Munich, Institute of Epidemiology, Research Unit Molecular Epidemiology, Munich, Germany
| | - Lisa Pilgram
- Department of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany
- Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Gabi Anton
- Helmholtz Center Munich, Institute of Epidemiology, Research Unit Molecular Epidemiology, Munich, Germany
- German Centre for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Sarah Berger
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany
| | - Ramsia Geisler
- Department of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Kirsten Haas
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Julius Maximilian University of Würzburg, Würzburg, Germany
- University Hospital Würzburg, Institute for Medical Data Science (ImDS), Josef-Schneider Straße 2, 97080, Würzburg, Germany
| | - Thomas Illig
- Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | - Dagmar Krefting
- Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany
| | - Roberto Lorbeer
- German Center for Cardiovascular Research (DZHK), Partner Site Munich, Munich, Germany
- Deutsches Herzzentrum der Charité, Medical Heart Center of Charité and German Heart Institute Berlin, Institute of Computer-Assisted Cardiovascular Medicine, Berlin, Germany
- Department of Radiology, University Hospital LMU Munich, Munich, Germany
| | - Lazar Mitrov
- Faculty of Medicine, Department I of Internal Medicine, Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf, University of Cologne, University Hospital Cologne, Cologne, Germany
| | - Maximilian Muenchhoff
- German Centre for Infection Research (DZIF), Partner Site Munich, Munich, Germany
- Max Von Pettenkofer Institute & GeneCenter, Virology, Faculty of Medicine, Ludwig-Maximilians University, Munich, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christina Pley
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Julius Maximilian University of Würzburg, Würzburg, Germany
- University Hospital Würzburg, Institute for Medical Data Science (ImDS), Josef-Schneider Straße 2, 97080, Würzburg, Germany
| | - Siegbert Rieg
- Division of Infectious Diseases, Department of Medicine II, Medical Centre - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Margarete Scherer
- Department of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Melanie Stecher
- Faculty of Medicine, Department I of Internal Medicine, Center for Integrated Oncology, Aachen Bonn Cologne Duesseldorf, University of Cologne, University Hospital Cologne, Cologne, Germany
- German Center for Infection Research (DZIF), Partner-Site Cologne-Bonn, Cologne, Germany
| | - Christoph Stellbrink
- Bielefeld University, Medical School and University Medical Center East Westphalia-Lippe, Klinikum Bielefeld, Academic Department of Cardiology and Internal Intensive Care Medicine, Bielefeld, Germany
| | - Heike Valentin
- Trusted Third Party of the University Medicine Greifswald, Ellernholzstr. 1-2, 17475, Greifswald, Germany
| | - Christof Winter
- School of Medicine, Institute of Clinical Chemistry and Pathobiochemistry, Technical University of Munich, Munich, Germany
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany
| | - Martin Witzenrath
- Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität Zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany
- German Center for Lung Research (DZL), Berlin, Germany
| | - J Janne Vehreschild
- Department of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany
- German Center for Infection Research (DZIF), Partner-Site Cologne-Bonn, Cologne, Germany
- Department I for Internal Medicine, Faculty of Medicine, University Hospital of Cologne, University of Cologne, Cologne, Germany
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6
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Yusuf KO, Chaplinskaya-Sobol I, Schoneberg A, Hanss S, Valentin H, Lorenz-Depiereux B, Hansch S, Fiedler K, Scherer M, Sikdar S, Miljukov O, Reese JP, Wagner P, Bröhl I, Geisler R, Vehreschild JJ, Blaschke S, Bellinghausen C, Milovanovic M, Krefting D. Impact of Clinical Study Implementation on Data Quality Assessments - Using Contradictions within Interdependent Health Data Items as a Pilot Indicator. Stud Health Technol Inform 2023; 307:152-158. [PMID: 37697849 DOI: 10.3233/shti230707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/13/2023]
Abstract
INTRODUCTION Contradiction is a relevant data quality indicator to evaluate the plausibility of interdependent health data items. However, while contradiction assessment is achieved using domain-established contradictory dependencies, recent studies have shown the necessity for additional requirements to reach conclusive contradiction findings. For example, the oral or rectal methods used in measuring the body temperature will influence the thresholds of fever definition. The availability of this required information as explicit data items must be guaranteed during study design. In this work, we investigate the impact of activities related to study database implementation on contradiction assessment from two perspectives including: 1) additionally required metadata and 2) implementation of checks within electronic case report forms to prevent contradictory data entries. METHODS Relevant information (timestamps, measurement methods, units, and interdependency rules) required for contradiction checks are identified. Scores are assigned to these parameters and two different studies are evaluated based on the fulfillment of the requirements by two selected interdependent data item sets. RESULTS None of the studies have fulfilled all requirements. While timestamps and measurement units are found, missing information about measurement methods may impede conclusive contradiction assessment. Implemented checks are only found if data are directly entered. DISCUSSION Conclusive contradiction assessment typically requires metadata in the context of captured data items. Consideration during study design and implementation of data capture systems may support better data quality in studies and could be further adopted in primary health information systems to enhance clinical anamnestic documentation.
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Affiliation(s)
- Khalid O Yusuf
- Department of Medical Informatics, University Medical Center Göttingen, Germany
| | | | - Anne Schoneberg
- Department of Medical Informatics, University Medical Center Göttingen, Germany
| | - Sabine Hanss
- Department of Medical Informatics, University Medical Center Göttingen, Germany
- German Center for Cardiovascular Research, Partner Site Göttingen, Germany
| | - Heike Valentin
- Trusted Third Party of the University Medicine Greifswald, Germany
| | | | - Stefan Hansch
- Department for Infectious Diseases and Infection Control, University Hospital Regensburg, Germany
| | - Karin Fiedler
- Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Frankfurt am Main, Germany
| | - Margarete Scherer
- Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Frankfurt am Main, Germany
| | - Shimita Sikdar
- Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Frankfurt am Main, Germany
| | - Olga Miljukov
- University of Würzburg, Institute for Clinical Epidemiology and Biometry
| | - Jens-Peter Reese
- University of Würzburg, Institute for Clinical Epidemiology and Biometry
| | - Patricia Wagner
- Department I for Internal Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Isabel Bröhl
- Department I for Internal Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Ramsia Geisler
- Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Frankfurt am Main, Germany
- Department I for Internal Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Jörg J Vehreschild
- Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Frankfurt am Main, Germany
- Department I for Internal Medicine, Faculty of Medicine and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - Sabine Blaschke
- Emergency Department, University Medical Center Goettingen, Germany
| | - Carla Bellinghausen
- Goethe University Frankfurt, University Hospital Frankfurt, Medical Clinic I, Department of Respiratory Medicine / Allergology
| | - Milena Milovanovic
- Malteser Krankenhaus St. Franziskus Hospital, Medical Clinic I, Flensburg, Germany
| | - Dagmar Krefting
- Department of Medical Informatics, University Medical Center Göttingen, Germany
- Campus Institute Data Science, Georg-August-University, Göttingen, Germany
- German Center for Cardiovascular Research, Partner Site Göttingen, Germany
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7
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Liu Z, Hollmann C, Kalanidhi S, Grothey A, Keating S, Mena-Palomo I, Lamer S, Schlosser A, Kaiping A, Scheller C, Sotzny F, Horn A, Nürnberger C, Cejka V, Afshar B, Bahmer T, Schreiber S, Vehreschild JJ, Miljukov O, Schäfer C, Kretzler L, Keil T, Reese JP, Eichner FA, Schmidbauer L, Heuschmann PU, Störk S, Morbach C, Riemekasten G, Beyersdorf N, Scheibenbogen C, Naviaux RK, Williams M, Ariza ME, Prusty BK. Increased circulating fibronectin, depletion of natural IgM and heightened EBV, HSV-1 reactivation in ME/CFS and long COVID. medRxiv 2023:2023.06.23.23291827. [PMID: 37425897 PMCID: PMC10327231 DOI: 10.1101/2023.06.23.23291827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Myalgic Encephalomyelitis/ Chronic Fatigue syndrome (ME/CFS) is a complex, debilitating, long-term illness without a diagnostic biomarker. ME/CFS patients share overlapping symptoms with long COVID patients, an observation which has strengthened the infectious origin hypothesis of ME/CFS. However, the exact sequence of events leading to disease development is largely unknown for both clinical conditions. Here we show antibody response to herpesvirus dUTPases, particularly to that of Epstein-Barr virus (EBV) and HSV-1, increased circulating fibronectin (FN1) levels in serum and depletion of natural IgM against fibronectin ((n)IgM-FN1) are common factors for both severe ME/CFS and long COVID. We provide evidence for herpesvirus dUTPases-mediated alterations in host cell cytoskeleton, mitochondrial dysfunction and OXPHOS. Our data show altered active immune complexes, immunoglobulin-mediated mitochondrial fragmentation as well as adaptive IgM production in ME/CFS patients. Our findings provide mechanistic insight into both ME/CFS and long COVID development. Finding of increased circulating FN1 and depletion of (n)IgM-FN1 as a biomarker for the severity of both ME/CFS and long COVID has an immediate implication in diagnostics and development of treatment modalities.
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Affiliation(s)
- Zheng Liu
- Institute for Virology and Immunobiology, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Claudia Hollmann
- Institute for Virology and Immunobiology, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Sharada Kalanidhi
- Stanford Genome Technology Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Arnhild Grothey
- Institute for Virology and Immunobiology, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Sam Keating
- Institute for Virology and Immunobiology, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Irene Mena-Palomo
- Institute for Medical Data Sciences, University Hospital Würzburg, Würzburg
| | - Stephanie Lamer
- Rudolf Virchow Center, Center for Translational Bioimaging, Julius-Maximilians-University of Würzburg, Germany
| | - Andreas Schlosser
- Rudolf Virchow Center, Center for Translational Bioimaging, Julius-Maximilians-University of Würzburg, Germany
| | - Agnes Kaiping
- Institute for Virology and Immunobiology, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Carsten Scheller
- Institute for Virology and Immunobiology, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Franzeska Sotzny
- Institute for Medical Immunology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Anna Horn
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Carolin Nürnberger
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Vladimir Cejka
- Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center and Department of Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Boshra Afshar
- Institute for Virology and Immunobiology, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Thomas Bahmer
- Internal Medicine Department I, University Hospital Schleswig-Holstein UKSH - Campus Kiel, Kiel, Germany
| | - Stefan Schreiber
- Internal Medicine Department I, University Hospital Schleswig-Holstein UKSH - Campus Kiel, Kiel, Germany
| | - Jörg Janne Vehreschild
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Germany
| | - Olga Miljukov
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Christian Schäfer
- University Medicine Greifswald, Institute of Clinical Chemistry and Laboratory Medicine, Greifswald, Germany
| | - Luzie Kretzler
- Charité - Universitätsmedizin Berlin and Berlin Institute of Health (BIH), Berlin, Germany
| | - Thomas Keil
- Charité - Universitätsmedizin Berlin and Berlin Institute of Health (BIH), Berlin, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Felizitas A Eichner
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Lena Schmidbauer
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Peter U Heuschmann
- Institute of Clinical Epidemiology and Biometry, Julius-Maximilians-University of Würzburg, Würzburg, Germany
- Institute for Medical Data Sciences, University Hospital Würzburg, Würzburg
- Clinical Trial Center, University Hospital Würzburg, Würzburg
| | - Stefan Störk
- Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center and Department of Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Caroline Morbach
- Department of Clinical Research & Epidemiology, Comprehensive Heart Failure Center and Department of Medicine I, University Hospital Würzburg, Würzburg, Germany
| | | | - Niklas Beyersdorf
- Institute for Virology and Immunobiology, Julius-Maximilians-University of Würzburg, Würzburg, Germany
| | - Carmen Scheibenbogen
- Institute for Medical Immunology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Robert K Naviaux
- Departments of Medicine, Pediatrics, and Pathology, University of California, San Diego School of Medicine, San Diego, USA
| | - Marshall Williams
- Institute for Behavioral Medicine Research (IBMR), The Ohio State University, Columbus, Ohio, USA
| | - Maria E Ariza
- Institute for Behavioral Medicine Research (IBMR), The Ohio State University, Columbus, Ohio, USA
| | - Bhupesh K Prusty
- Institute for Virology and Immunobiology, Julius-Maximilians-University of Würzburg, Würzburg, Germany
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8
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Schmitt J, Bierbaum T, Geraedts M, Gothe H, Härter M, Hoffmann F, Ihle P, Kramer U, Klinkhammer-Schalke M, Kuske S, March S, Reese JP, Schoffer O, Swart E, Vollmar HC, Walther F, Hoffmann W. Das Gesundheitsdatennutzungsgesetz – Potenzial für
eine bessere Forschung und Gesundheitsversorgung. Gesundheitswesen 2023; 85:215-222. [PMID: 36977473 PMCID: PMC10125338 DOI: 10.1055/a-2050-0429] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Affiliation(s)
- Jochen Schmitt
- Zentrum für Evidenzbasierte Gesundheitsversorgung, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Dresden
- Deutsches Netzwerk Versorgungsforschung, Berlin
| | | | - Max Geraedts
- Deutsches Netzwerk Versorgungsforschung, Berlin
- Institut für Versorgungsforschung und Klinische Epidemiologie, Philipps-Universität Marburg, Marburg
| | - Holger Gothe
- Department für Public Health, Versorgungsforschung und Health Technology Assessment, UMIT, Hall in Tirol, Austria
- Hochschule Hannover, Fakultät III, Abt. Information und Kommunikation (IK), Hannover
- Lehrstuhl Gesundheitswissenschaften/Public Health, Medizinische Fakultät Carl Gustav Carus, TU Dresden, Dresden
- Arbeitsgruppe Erhebung und Nutzung von Sekundärdaten (AGENS)
| | - Martin Härter
- Deutsches Netzwerk Versorgungsforschung, Berlin
- Institut und Poliklinik für Medizinische Psychologie, Universitätsklinikum Hamburg-Eppendorf
- Ärztliches Zentrum für Qualität in der Medizin (ÄZQ), Berlin
| | - Falk Hoffmann
- Deutsches Netzwerk Versorgungsforschung, Berlin
- Department für Versorgungsforschung, Carl von Ossietzky Universität Oldenburg, Oldenburg
| | - Peter Ihle
- Arbeitsgruppe Erhebung und Nutzung von Sekundärdaten (AGENS)
- PMV forschungsgruppe, Medizinische Fakultät und Universitätsklinikum Köln, Universität zu Köln, Köln
| | - Ursula Kramer
- Deutsches Netzwerk Versorgungsforschung, Berlin
- sanawork Gesundheitskommunikation, Waldkirch
| | - Monika Klinkhammer-Schalke
- Deutsches Netzwerk Versorgungsforschung, Berlin
- Tumorzentrum Regensburg, Zentrum für Qualitätssicherung und Versorgungsforschung, Universität Regensburg, Regensburg
| | - Silke Kuske
- Deutsches Netzwerk Versorgungsforschung, Berlin
- Fliedner Fachhochschule Düsseldorf, Düsseldorf
| | - Stefanie March
- Deutsches Netzwerk Versorgungsforschung, Berlin
- Hochschule Magdeburg-Stendal, Fachbereich Soziale Arbeit, Gesundheit und Medien
| | - Jens-Peter Reese
- Professur für Versorgungsforschung und Public Health Institut für Klinische Epidemiologie und Biometrie Julius-Maximilians-Universität Würzburg
| | - Olaf Schoffer
- Zentrum für Evidenzbasierte Gesundheitsversorgung, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Dresden
- Deutsches Netzwerk Versorgungsforschung, Berlin
| | - Enno Swart
- Arbeitsgruppe Erhebung und Nutzung von Sekundärdaten (AGENS)
- Institut für Sozialmedizin und Gesundheitssystemforschung (ISMG), Medizinische Fakultät, Otto-von-Guericke Universität Magdeburg, Magdeburg
| | - Horst Christian Vollmar
- Deutsches Netzwerk Versorgungsforschung, Berlin
- Abteilung für Allgemeinmedizin (AM RUB), Medizinische Fakultät, Ruhr-Universität Bochum, Bochum
| | - Felix Walther
- Zentrum für Evidenzbasierte Gesundheitsversorgung, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Dresden
- Deutsches Netzwerk Versorgungsforschung, Berlin
- Qualitäts- und Medizinisches Risikomanagement, Universitätsklinikum Carl Gustav Carus an der Technischen Universität Dresden, Dresden
| | - Wolfgang Hoffmann
- Deutsches Netzwerk Versorgungsforschung, Berlin
- Institut für Community Medicine, Universitätsmedizin Greifswald, Greifswald
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9
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Yusuf KO, Miljukov O, Schoneberg A, Hanß S, Wiesenfeldt M, Stecher M, Mitrov L, Hopff SM, Steinbrecher S, Kurth F, Bahmer T, Schreiber S, Pape D, Hofmann AL, Kohls M, Störk S, Stubbe HC, Tebbe JJ, Hellmuth JC, Erber J, Krist L, Rieg S, Pilgram L, Vehreschild JJ, Reese JP, Krefting D. Consistency as a Data Quality Measure for German Corona Consensus Items Mapped from National Pandemic Cohort Network Data Collections. Methods Inf Med 2023. [PMID: 36596462 DOI: 10.1055/a-2006-1086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND As a national effort to better understand the current pandemic, three cohorts collect sociodemographic and clinical data from coronavirus disease 2019 (COVID-19) patients from different target populations within the German National Pandemic Cohort Network (NAPKON). Furthermore, the German Corona Consensus Dataset (GECCO) was introduced as a harmonized basic information model for COVID-19 patients in clinical routine. To compare the cohort data with other GECCO-based studies, data items are mapped to GECCO. As mapping from one information model to another is complex, an additional consistency evaluation of the mapped items is recommended to detect possible mapping issues or source data inconsistencies. OBJECTIVES The goal of this work is to assure high consistency of research data mapped to the GECCO data model. In particular, it aims at identifying contradictions within interdependent GECCO data items of the German national COVID-19 cohorts to allow investigation of possible reasons for identified contradictions. We furthermore aim at enabling other researchers to easily perform data quality evaluation on GECCO-based datasets and adapt to similar data models. METHODS All suitable data items from each of the three NAPKON cohorts are mapped to the GECCO items. A consistency assessment tool (dqGecco) is implemented, following the design of an existing quality assessment framework, retaining their-defined consistency taxonomies, including logical and empirical contradictions. Results of the assessment are verified independently on the primary data source. RESULTS Our consistency assessment tool helped in correcting the mapping procedure and reveals remaining contradictory value combinations within COVID-19 symptoms, vital signs, and COVID-19 severity. Consistency rates differ between the different indicators and cohorts ranging from 95.84% up to 100%. CONCLUSION An efficient and portable tool capable of discovering inconsistencies in the COVID-19 domain has been developed and applied to three different cohorts. As the GECCO dataset is employed in different platforms and studies, the tool can be directly applied there or adapted to similar information models.
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Affiliation(s)
- Khalid O Yusuf
- Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany
| | - Olga Miljukov
- Institute for Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany
| | - Anne Schoneberg
- Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany
| | - Sabine Hanß
- Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany
| | - Martin Wiesenfeldt
- Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany
| | - Melanie Stecher
- Department I for Internal Medicine, University Hospital Cologne, Cologne, Germany.,German Centre for Infection Research, Partner Site Bonn-Cologne, Cologne, Germany
| | - Lazar Mitrov
- Department I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany
| | - Sina Marie Hopff
- Department I of Internal Medicine, Faculty of Medicine and University Hospital Cologne, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University of Cologne, Cologne, Germany
| | - Sarah Steinbrecher
- Department of Infectious Diseases and Respiratory Medicine, Charité-Universitaetsmedizin Berlin, Berlin, Germany
| | - Florian Kurth
- Department of Infectious Diseases and Respiratory Medicine, Charité-Universitaetsmedizin Berlin, Berlin, Germany
| | - Thomas Bahmer
- Internal Medicine Department I, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany.,Airway Research Center North (ARCN), German Center for Lung Research (DZL), Wöhrendamm Großhansdorf, Germany
| | - Stefan Schreiber
- Internal Medicine Department I, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany
| | - Daniel Pape
- Internal Medicine Department I, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany
| | - Anna-Lena Hofmann
- Institute for Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany
| | - Mirjam Kohls
- Institute for Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany
| | - Stefan Störk
- Department Clinical Research & Epidemiology, University Hospital Würzburg, Comprehensive Heart Failure Center, and Department Internal Medicine I, Würzburg, Germany
| | | | - Johannes J Tebbe
- Department of Gastroenterology and Infectious Diseases, University Medical Center East Westphalia-Lippe, Klinikum Lippe, Lemgo, Germany
| | - Johannes C Hellmuth
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, LMU Munich, Munich, Germany
| | - Johanna Erber
- Department II of Internal Medicine, Technical University of Munich, School of Medicine, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Siegbert Rieg
- Department of Medicine II, Division of Infectious Diseases, Medical Centre - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Lisa Pilgram
- Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Frankfurt am Main, Germany.,Department of Nephrology and Medical Intensive Care, Charité - Universitaetsmedizin Berlin, Berlin, Germany
| | - Jörg J Vehreschild
- Department I for Internal Medicine, University Hospital Cologne, Cologne, Germany.,German Centre for Infection Research, Partner Site Bonn-Cologne, Cologne, Germany.,Department of Nephrology and Medical Intensive Care, Charité - Universitaetsmedizin Berlin, Berlin, Germany
| | - Jens-Peter Reese
- Institute for Clinical Epidemiology and Biometry (ICE-B), University of Würzburg, Würzburg, Germany
| | - Dagmar Krefting
- Department of Medical Informatics, University Medical Center Göttingen, Göttingen, Germany.,Campus Institute Data Science (CIDAS), Georg-August-University, Göttingen, Germany
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10
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Appel KS, Maier D, Hopff SM, Mitrov L, Stecher M, Scherer M, Geisler R, Hagen M, Haas K, Reese JP, Jiru-Hillmann S, Miljukov O, Jakob CEM, Nunes de Miranda SM, Meybohm P, Hanß S, Erber J, Winter C, Tebbe JJ, Stellbrink C, Khodamoradi Y, Schmidt J, Hanses F, Scheer C, Blaschke S, Göpel S, Kluge S, Witzke O, Römmele C, Krawczyk M, Teufel A, Schmid J, Pape D, Schütte C, Tausche K, Milovanovic M, Krug N, Tepasse PR, Verket M, Hamprecht A, Tasci S, Hower M, Jensen BEO, Sprinzl MF, Zimmermann T, Vehreschild JJ. 1886. External Validation of the 4C Mortality Score and the qSOFA for Different Variants of Concerns of SARS-CoV-2 Using Data of the NAPKON Cross-Sectoral Cohort Platform (SUEP). Open Forum Infect Dis 2022. [PMCID: PMC9752978 DOI: 10.1093/ofid/ofac492.1513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Background Numerous predictive clinical scores with varying discriminatory performance have been developed in the context of the current coronavirus disease 2019 (COVID-19) pandemic. To support clinical application, we test the transferability of the frequently applied 4C mortality score (4C score) to the German prospective Cross-Sectoral Platform (SUEP) of the National Pandemic Cohort Network (NAPKON) compared to the non COVID-19 specific quick sequential organ failure assessment score (qSOFA). Our project aims to externally validate these two scores, stratified for the most prevalent variants of concerns (VOCs) of severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) in Germany. Methods A total of 685 adults with polymerase chain reaction (PCR)-detected SARS-CoV-2 infection were included from NAPKON-SUEP. Patients were recruited from 11/2020 to 03/2022 at 34 university and non-university hospitals across Germany. Missing values were complemented using multiple imputation. Predictive performance for in-hospital mortality at day of baseline visit was determined by area under the curve (AUC) with 95%-confidence interval (CI) stratified by VOCs of SARS-CoV-2 (alpha, delta, omicron) (Figure 1).
Study flow chart with inclusion criteria and methodological workflow. ![]() Results Preliminary results suggest a high predictive performance of the 4C score for in-hospital mortality (Table 1). This applies for the overall cohort (AUC 0.813 (95%CI 0.738-0.888)) as well as the VOC-strata (alpha: AUC 0.859 (95%CI 0.748-0.970); delta: AUC 0.769 (95%CI 0.657-0.882); omicron: AUC 0.866 (95%CI 0.724-1.000)). The overall mortality rates across the defined 4C score risk groups are 0.3% (low), 3.2% (intermediate), 11.6% (high), and 49.5% (very high). The 4C score performs significantly better than the qSOFA (Chi2-test: p=0.001) and the qSOFA does not seem to be a suitable tool in this context.
Discriminatory performance of the 4C Mortality Score and the qSOFA score within the validation cohort NAPKON-SUEP stratified by the Variant of Concerns of SARS-CoV-2. ![]() Conclusion Despite its development in the early phase of the pandemic and improved treatment, external validation of the 4C score in NAPKON-SUEP indicates a high predictive performance for in-hospital mortality across all VOCs. However, since the qSOFA was not specifically designed for this predictive issue, it shows low discriminatory performance, as in other validation studies. Any interpretations regarding the omicron stratum are limited due to the sample size. Disclosures Daniel Pape, Dr., Advanz Pharma Germany: Support for attending meetings and/or travel for ECCMID 2021 Martin Hower, n/a, MSD: Advisor/Consultant|Trogarzo: Advisor/Consultant|ViiV Healthcare: Advisor/Consultant Björn-Erik O. Jensen, Dr. med., GILEAD: Advisor/Consultant|GILEAD: Lectures, Travel|GSK: Lectures, Travel Jörg J. Vehreschild, Univ.-Prof. Dr. med., Ärztekammer Nordrhein: Honoraria|Academy for Infectious Medicine, University Manchester: Honoraria|Astellas Pharma: Grant/Research Support|Astellas Pharma: Honoraria|Back Bay Strategies: Honoraria|Basilea: Grant/Research Support|Basilea: Honoraria|Deutsches Zetrum für Luft- und Raumfahrt (DLR): Grant/Research Support|German Centre for Infection Research (DZIF): Grant/Research Support|German Centre for Infection Research (DZIF): Honoraria|German Federal Ministry of Education and Research (BMBF): Grant/Research Support|German Society for Infectious Diseases (DGI): Honoraria|German Society for Internal Medicine (DGIM): Honoraria|GILEAD: Advisor/Consultant|GILEAD: Grant/Research Support|GILEAD: Honoraria|Janssen: Honoraria|Merck / MSD: Grant/Research Support|Merck / MSD: Honoraria|Molecular Health: Honoraria|Netzwerk Universitätsmedizin: Honoraria|NordForsk: Honoraria|Pfizer: Advisor/Consultant|Pfizer: Grant/Research Support|Pfizer: Honoraria|Rigshospitalet Copenhagen: Grant/Research Support|Shionogi: Advisor/Consultant|Shionogi: Honoraria|University Hospital Aachen: Honoraria|University Hospital Freiburg/ Congress and Communication: Honoraria|University of Bristol: Grant/Research Support.
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Affiliation(s)
- Katharina S Appel
- Department of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany, Frankfurt am Main, Hessen, Germany
| | - Daniel Maier
- University Hospital Frankfurt, Frankfurt am Main, Germany,German Cancer Consortium (DKTK), Heidelberg, Germany, Frankfurt am Main, Hessen, Germany
| | - Sina M Hopff
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Köln, Nordrhein-Westfalen, Germany
| | - Lazar Mitrov
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Köln, Nordrhein-Westfalen, Germany
| | - Melanie Stecher
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf; German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany, Cologne, Nordrhein-Westfalen, Germany
| | - Margarete Scherer
- Department of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany, Frankfurt am Main, Hessen, Germany
| | - Ramsia Geisler
- Department of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany, Frankfurt am Main, Hessen, Germany
| | - Marina Hagen
- Department of Internal Medicine, Hematology/Oncology, Goethe University Frankfurt, Frankfurt am Main, Germany, Frankfurt am Main, Hessen, Germany
| | - Kirsten Haas
- Insitute for Clinical Epidemiology and Biometry, Julius Maximilians Universität Würzburg, Würzburg, Bayern, Germany
| | - Jens-Peter Reese
- Insitute for Clinical Epidemiology and Biometry, Julius Maximilians Universität Würzburg, Würzburg, Bayern, Germany
| | - Steffi Jiru-Hillmann
- Insitute for Clinical Epidemiology and Biometry, Julius Maximilians Universität Würzburg, Würzburg, Bayern, Germany
| | - Olga Miljukov
- Insitute for Clinical Epidemiology and Biometry, Julius Maximilians Universität Würzburg, Würzburg, Bayern, Germany
| | - Carolin E M Jakob
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf; German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany, Cologne, Nordrhein-Westfalen, Germany
| | - Susana M Nunes de Miranda
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Köln, Nordrhein-Westfalen, Germany
| | - Patrick Meybohm
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Würzburg, Würzburg, Bayern, Germany
| | - Sabine Hanß
- University Medical Center Göttingen, Department of Medical Informatics, Göttingen, Germany, Göttingen, Niedersachsen, Germany
| | - Johanna Erber
- Technical University of Munich, School of Medicine – University Hospital, Department of Internal Medicine, Gastroenterology, Munich, Bayern, Germany
| | - Christof Winter
- Technical University of Munich, School of Medicine – University Hospital, Institute for Clinical Chemistry and Pathobiochemistry, Munich, Bayern, Germany
| | - Johannes J Tebbe
- University Medical Center East Westphalia-Lippe, Klinikum Lippe, Department of Gastroenterology and Infectious Disease, Lippe, Nordrhein-Westfalen, Germany
| | - Christoph Stellbrink
- Bielefeld University, Medical School and University Medical Center East Westphalia-Lippe, Klinikum Bielefeld, Academic Department of Cardiology, Bielefeld, Nordrhein-Westfalen, Germany
| | - Yascha Khodamoradi
- Department of Internal Medicine, Infectious Diseases, Goethe University Frankfurt, Frankfurt am Main, Germany, Frankfurt am Main, Hessen, Germany
| | - Julia Schmidt
- Insitute for Clinical Epidemiology and Biometry, Julius Maximilians Universität Würzburg, Würzburg, Bayern, Germany
| | - Frank Hanses
- Emergency Department and Department for Infection Control and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany, Regensburg, Bayern, Germany
| | - Christian Scheer
- Department of Anaesthesiology, University Medicine Greifswald, Greifswald, Germany, Greifswald, Mecklenburg-Vorpommern, Germany
| | - Sabine Blaschke
- Emergency Department, University Medical Center Göttingen, FRG, Göttingen, Niedersachsen, Germany
| | - Siri Göpel
- Department of Internal Medicine I, Infectious Diseases, Tübingen University Hospital, Tübingen, Germany,German Centre for Infection Research (DZIF), Clinical Research Unit for healthcare associated infections, Tübingen, Germany, Tübingen, Baden-Wurttemberg, Germany
| | - Stefan Kluge
- Department of Intensive Care, University Medical Center Hamburg-Eppendorf, Hamburg, Hamburg, Germany
| | - Oliver Witzke
- Department of Infectious Diseases, West German Centre of Infectious Diseases, Universitymedicine Essen, University Duisburg-Essen, Germany, Essen, Nordrhein-Westfalen, Germany
| | - Christoph Römmele
- Clinic for Internal Medicine III - Gastroenterology and Infectious Diseases, University Hospital of Augsburg, Augsburg, Germany, Augsburg, Bayern, Germany
| | - Marcin Krawczyk
- Department of Medicine II, Saarland University Medical Center, Saarland University, Homburg, Germany, Homburg, Saarland, Germany
| | - Andreas Teufel
- Department of Medicine II, Division of Hepatology, Division of Bioinformatics, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany,Clinical Cooperation Unit Healthy Metabolism, Center for Preventive Medicine and Digital Health Baden-Württemberg (CPDBW), Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, Mannheim, Baden-Wurttemberg, Germany
| | - Jonas Schmid
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Universitätsklinikum Erlangen, Medicine I, Erlangen, Germany, Erlangen, Bayern, Germany
| | - Daniel Pape
- Department of Internal Medicine I, University Hospital Schleswig Holstein, Campus Kiel, Kiel, Schleswig-Holstein, Germany
| | - Christian Schütte
- Dept. of Medicine I, St. Josef-Hospital, Ruhr-University of Bochum Medical School, Bochum, Nordrhein-Westfalen, Germany
| | - Kristin Tausche
- Department of Internal Medicine I, Pulmonology, Carl- Gustav-Carus University Dresden, Germany, Dresden, Sachsen, Germany
| | - Milena Milovanovic
- Medical Clinic 1, Malteser Krankenhaus St. Franziskus Hospital, Flensburg, Germany, Flensburg, Schleswig-Holstein, Germany
| | - Natalie Krug
- Department of Anesthesiology and Intensive Care, University Hospital Leipzig, Germany, Leipzig, Sachsen, Germany
| | - Phil-Robin Tepasse
- Department of Medicine B for Gastroenterology, Hepatology, Endocrinology, Clinical Infectiology, Münster, Germany, Münster, Nordrhein-Westfalen, Germany
| | - Marlo Verket
- Department of Medicine I, Clinical Study Center, University Hospital Aachen, Aachen, Nordrhein-Westfalen, Germany
| | - Axel Hamprecht
- University Medical Clinic of Medical Microbiology and Virology, Department of Human Medicine, University Oldenburg, Germany, Oldenburg, Niedersachsen, Germany
| | - Selcuk Tasci
- Department of Pulmonology, Helios Klinikum, Siegburg, Germany, Siegburg, Nordrhein-Westfalen, Germany
| | - Martin Hower
- Department of Pneumology, Infectiology, Internal Medicine and Intensive Care, Klinikum Dortmund GmbH, Dortmund, Dortmund, Nordrhein-Westfalen, Germany
| | - Björn-Erik O Jensen
- Department of Gastroenterology, Hepatology and Infectiology, Heinrich-Heine-University, Duesseldorf, Germany, Düsseldorf, Nordrhein-Westfalen, Germany
| | - Martin F Sprinzl
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University, Mainz, Germany, Mainz, Rheinland-Pfalz, Germany
| | - Tim Zimmermann
- Department of Internal Medicine II, Gastroenterology and Hepatology, Klinikum Worms, Germany, Worms, Rheinland-Pfalz, Germany
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11
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Kananian S, Kip A, Schumm H, Giesebrecht J, Nicolai A, Schade-Brittinger C, Reese JP, Weise C, Mewes R, Morina N, Ehring T, Stangier U. Culturally adapted cognitive behavioural group therapy for mental disorders in refugees plus problem solving training (ReTreat): study protocol for a multicentre randomised controlled trial. BMJ Open 2022; 12:e061274. [PMID: 36368748 PMCID: PMC9660581 DOI: 10.1136/bmjopen-2022-061274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Since a high proportion of refugees in Germany suffer from mental disorders, culturally adapted treatments are needed that target a broad range of symptoms. There is much evidence for the efficacy of culturally adapted cognitive behavioural therapy (CA-CBT). Given the promising results of CA-CBT, the combination with problem solving training (CA-CBT+) represents a novel approach that potentially improves the refugees' ability to cope actively with psychosocial problems. This randomised controlled trial evaluates the efficacy of 12-session outpatient CA-CBT+ compared with to treatment as usual (TAU) in a sample of refugees suffering from at least one DSM-5 disorder. METHODS AND ANALYSIS The present study will be carried out as two-group randomised trial with 1:1 individual allocation to either (1) culturally adapted cognitive behavioural therapy in a group setting (CA-CBT+) or (2) TAU. The study takes place at four sites in Germany, randomising in total 138 adult refugees with at least one primary DSM-5 diagnosis to the treatment conditions. In CA-CBT+ the patients receive 12 sessions of 120 min duration over the course of 12 weeks providing psychoeducation, meditation and other techniques of emotional regulation, stretching and problem solving training. The primary outcome is treatment response operationalised by a clinically significant change in General Health Questionnaire (GHQ-28) score. Follow-up visits will take place 3 and 9 months after the end of the intervention. Secondary outcomes include changes in psychopathological symptoms, somatic symptoms and quality of life. Intention-to-treat analysis will be performed. Adverse and serious adverse events will be analysed. Further, healthcare usage and economic outcomes will be assessed and analysed. Primary and secondary outcomes will be analysed using appropriate statistical methods. ETHICS AND DISSEMINATION The study has been approved by the Ethics Commission of the German Psychological Society (ref: StangierUlrich2019-1018VA). Results will be disseminated via presentations, publication in international journals, and national outlets for clinicians. Furthermore, intervention materials will be available, and the existing network will be used to disseminate and implement the interventions into routine healthcare. TRIAL REGISTRATION NUMBER DRKS00021536.
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Affiliation(s)
- Schahryar Kananian
- Department of Psychology, Clinical Psychology and Psychotherapy, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Ahlke Kip
- Department of Psychology, Clinical Psychology and Psychotherapy, University of Münster, Munster, Germany
| | - Hannah Schumm
- Department of Clinical Psychology and Psychotherapy, Ludwig-Maximilians-Universitat Munchen, Munchen, Germany
| | | | - Anica Nicolai
- Department of Psychology, Clinical Psychology and Psychotherapy, Goethe University Frankfurt, Frankfurt am Main, Germany
| | | | - Jens-Peter Reese
- Healthcare Research and Public Health, Institute for Clinical Epidemiology and Biometry, Würzburg, Germany
| | - Cornelia Weise
- Clinical Psychology, Philipps-Universität Marburg, Marburg, Germany
| | - Ricarda Mewes
- Outpatient Unit for Research, Teaching and Practice, Faculty of Psychology, University of Vienna, Vienna, Austria
| | | | - Thomas Ehring
- Department of Psychology, Ludwig Maximilians University Munich, Munchen, Germany
| | - Ulrich Stangier
- Department of Psychology, University of Frankfurt, Frankfurt, Germany
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12
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Bahmer T, Borzikowsky C, Lieb W, Horn A, Krist L, Fricke J, Scheibenbogen C, Rabe KF, Maetzler W, Maetzler C, Laudien M, Frank D, Ballhausen S, Hermes A, Miljukov O, Haeusler KG, Mokhtari NEE, Witzenrath M, Vehreschild JJ, Krefting D, Pape D, Montellano FA, Kohls M, Morbach C, Störk S, Reese JP, Keil T, Heuschmann P, Krawczak M, Schreiber S. Severity, predictors and clinical correlates of Post-COVID syndrome (PCS) in Germany: A prospective, multi-centre, population-based cohort study. EClinicalMedicine 2022; 51:101549. [PMID: 35875815 PMCID: PMC9289961 DOI: 10.1016/j.eclinm.2022.101549] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 06/16/2022] [Accepted: 06/20/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Post-COVID syndrome (PCS) is an important sequela of COVID-19, characterised by symptom persistence for >3 months, post-acute symptom development, and worsening of pre-existing comorbidities. The causes and public health impact of PCS are still unclear, not least for the lack of efficient means to assess the presence and severity of PCS. METHODS COVIDOM is a population-based cohort study of polymerase chain reaction (PCR) confirmed cases of SARS-CoV-2 infection, recruited through public health authorities in three German regions (Kiel, Berlin, Würzburg) between November 15, 2020 and September 29, 2021. Main inclusion criteria were (i) a PCR confirmed SARS-CoV-2 infection and (ii) a period of at least 6 months between the infection and the visit to the COVIDOM study site. Other inclusion criteria were written informed consent and age ≥18 years. Key exclusion criterion was an acute reinfection with SARS-CoV-2. Study site visits included standardised interviews, in-depth examination, and biomaterial procurement. In sub-cohort Kiel-I, a PCS (severity) score was developed based upon 12 long-term symptom complexes. Two validation sub-cohorts (Würzburg/Berlin, Kiel-II) were used for PCS score replication and identification of clinically meaningful predictors. This study is registered at clinicaltrials.gov (NCT04679584) and at the German Registry for Clinical Studies (DRKS, DRKS00023742). FINDINGS In Kiel-I (n = 667, 57% women), 90% of participants had received outpatient treatment for acute COVID-19. Neurological ailments (61·5%), fatigue (57·1%), and sleep disturbance (57·0%) were the most frequent persisting symptoms at 6-12 months after infection. Across sub-cohorts (Würzburg/Berlin, n = 316, 52% women; Kiel-II, n = 459, 56% women), higher PCS scores were associated with lower health-related quality of life (EQ-5D-5L-VAS/-index: r = -0·54/ -0·56, all p < 0·0001). Severe, moderate, and mild/no PCS according to the individual participant's PCS score occurred in 18·8%, 48·2%, and 32·9%, respectively, of the Kiel-I sub-cohort. In both validation sub-cohorts, statistically significant predictors of the PCS score included the intensity of acute phase symptoms and the level of personal resilience. INTERPRETATION PCS severity can be quantified by an easy-to-use symptom-based score reflecting acute phase disease burden and general psychological predisposition. The PCS score thus holds promise to facilitate the clinical diagnosis of PCS, scientific studies of its natural course, and the development of therapeutic interventions. FUNDING The COVIDOM study is funded by the Network University Medicine (NUM) as part of the National Pandemic Cohort Network (NAPKON).
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Affiliation(s)
- Thomas Bahmer
- Internal Medicine Department I, University Medical Center Schleswig-Holstein Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
- Airway Research Center North (ARCN), German Center for Lung Research (DZL), Wöhrendamm 80, 22927 Großhansdorf, Germany
- Corresponding authors at: Internal Medicine Department I, University Medical Center Schleswig-Holstein, Campus Kiel, Arnold-Heller-Straße 3, 24103 Kiel, Germany.
| | - Christoph Borzikowsky
- Institute of Medical Informatics and Statistics, Kiel University, University Medical Center Schleswig-Holstein, Brunswiker Straße 10, 24105 Kiel, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, University Medical Center Schleswig-Holstein, Niemannsweg 11, 24105 Kiel, Germany
| | - Anna Horn
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Lilian Krist
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Luisenstr. 57, 10117 Berlin, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Luisenstr. 57, 10117 Berlin, Germany
| | - Carmen Scheibenbogen
- Institute of Medical Immunology, Charité – Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Klaus F. Rabe
- Airway Research Center North (ARCN), German Center for Lung Research (DZL), Wöhrendamm 80, 22927 Großhansdorf, Germany
- LungenClinic Grosshansdorf, Pneumology, Wöhrendamm 80, 22927 Großhansdorf, Germany
| | - Walter Maetzler
- Neurology Department, University Medical Center Schleswig-Holstein Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Corina Maetzler
- Neurology Department, University Medical Center Schleswig-Holstein Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Martin Laudien
- ENT Department, University Medical Center Schleswig-Holstein Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Derk Frank
- Internal Medicine Department III, University Medical Center Schleswig-Holstein Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Sabrina Ballhausen
- Internal Medicine Department I, University Medical Center Schleswig-Holstein Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Anne Hermes
- Institute of Epidemiology, Kiel University, University Medical Center Schleswig-Holstein, Niemannsweg 11, 24105 Kiel, Germany
| | - Olga Miljukov
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Karl Georg Haeusler
- Department of Neurology, University Hospital Würzburg, Josef-Schneider-Straße 11, 97080 Würzburg, Germany
| | | | - Martin Witzenrath
- Department of Infectious Diseases and Respiratory Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Jörg Janne Vehreschild
- Medical Department 2, Hematology/ Oncology and Infectious Diseases, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I for Internal Medicine, Kerpener Straße 62, 50937 Cologne, Germany
- German Center for Infection Research (DZIF), Partner Site Bonn-Cologne, Kerpener Straße 62, 50937 Cologne, Germany
| | - Dagmar Krefting
- Institute for Medical Informatics, University Medical Center Göttingen, Von-Siebold-Straße 3, 37075 Göttingen, Germany
| | - Daniel Pape
- Internal Medicine Department I, University Medical Center Schleswig-Holstein Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
| | - Felipe A. Montellano
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
- Department of Neurology, University Hospital Würzburg, Josef-Schneider-Straße 11, 97080 Würzburg, Germany
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Am Schwarzenberg 15, 97080 Würzburg, Germany
| | - Mirjam Kohls
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Caroline Morbach
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Am Schwarzenberg 15, 97080 Würzburg, Germany
- Department of Internal Medicine I, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
| | - Stefan Störk
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Am Schwarzenberg 15, 97080 Würzburg, Germany
- Department of Internal Medicine I, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080 Würzburg, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Thomas Keil
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Luisenstr. 57, 10117 Berlin, Germany
- State Institute of Health, Bavarian Health and Food Safety Authority, Eggenreuther Weg 43, 91058 Erlangen, Germany
| | - Peter Heuschmann
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Am Schwarzenberg 15, 97080 Würzburg, Germany
- Clinical Trial Center Würzburg (CTC/ZKS), University Hospital Würzburg, Josef-Schneider-Straße 2, 97080 Würzburg, Germany
| | - Michael Krawczak
- Institute of Medical Informatics and Statistics, Kiel University, University Medical Center Schleswig-Holstein, Brunswiker Straße 10, 24105 Kiel, Germany
| | - Stefan Schreiber
- Internal Medicine Department I, University Medical Center Schleswig-Holstein Campus Kiel, Arnold-Heller-Straße 3, 24105 Kiel, Germany
- Corresponding authors at: Internal Medicine Department I, University Medical Center Schleswig-Holstein, Campus Kiel, Arnold-Heller-Straße 3, 24103 Kiel, Germany.
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13
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Schons M, Pilgram L, Reese JP, Stecher M, Anton G, Appel KS, Bahmer T, Bartschke A, Bellinghausen C, Bernemann I, Brechtel M, Brinkmann F, Brünn C, Dhillon C, Fiessler C, Geisler R, Hamelmann E, Hansch S, Hanses F, Hanß S, Herold S, Heyder R, Hofmann AL, Hopff SM, Horn A, Jakob C, Jiru-Hillmann S, Keil T, Khodamoradi Y, Kohls M, Kraus M, Krefting D, Kunze S, Kurth F, Lieb W, Lippert LJ, Lorbeer R, Lorenz-Depiereux B, Maetzler C, Miljukov O, Nauck M, Pape D, Püntmann V, Reinke L, Römmele C, Rudolph S, Sass J, Schäfer C, Schaller J, Schattschneider M, Scheer C, Scherer M, Schmidt S, Schmidt J, Seibel K, Stahl D, Steinbeis F, Störk S, Tauchert M, Tebbe JJ, Thibeault C, Toepfner N, Ungethüm K, Vadasz I, Valentin H, Wiedmann S, Zoller T, Nagel E, Krawczak M, von Kalle C, Illig T, Schreiber S, Witzenrath M, Heuschmann P, Vehreschild JJ. The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics. Eur J Epidemiol 2022; 37:849-870. [PMID: 35904671 PMCID: PMC9336157 DOI: 10.1007/s10654-022-00896-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 06/22/2022] [Indexed: 11/25/2022]
Abstract
The German government initiated the Network University Medicine (NUM) in early 2020 to improve national research activities on the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. To this end, 36 German Academic Medical Centers started to collaborate on 13 projects, with the largest being the National Pandemic Cohort Network (NAPKON). The NAPKON’s goal is creating the most comprehensive Coronavirus Disease 2019 (COVID-19) cohort in Germany. Within NAPKON, adult and pediatric patients are observed in three complementary cohort platforms (Cross-Sectoral, High-Resolution and Population-Based) from the initial infection until up to three years of follow-up. Study procedures comprise comprehensive clinical and imaging diagnostics, quality-of-life assessment, patient-reported outcomes and biosampling. The three cohort platforms build on four infrastructure core units (Interaction, Biosampling, Epidemiology, and Integration) and collaborations with NUM projects. Key components of the data capture, regulatory, and data privacy are based on the German Centre for Cardiovascular Research. By April 01, 2022, 34 university and 40 non-university hospitals have enrolled 5298 patients with local data quality reviews performed on 4727 (89%). 47% were female, the median age was 52 (IQR 36–62-) and 50 pediatric cases were included. 44% of patients were hospitalized, 15% admitted to an intensive care unit, and 12% of patients deceased while enrolled. 8845 visits with biosampling in 4349 patients were conducted by April 03, 2022. In this overview article, we summarize NAPKON’s design, relevant milestones including first study population characteristics, and outline the potential of NAPKON for German and international research activities. Trial registrationhttps://clinicaltrials.gov/ct2/show/NCT04768998.https://clinicaltrials.gov/ct2/show/NCT04747366.https://clinicaltrials.gov/ct2/show/NCT04679584
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Affiliation(s)
- Maximilian Schons
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lisa Pilgram
- Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Melanie Stecher
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- German Center for Infection Research (DZIF), Partner-Site Cologne-Bonn, Cologne, Germany
| | - Gabriele Anton
- Institute of Epidemiology, Helmholtz Center Munich, Munich, Germany
- German Centre for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Katharina S. Appel
- Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Germany
| | - Thomas Bahmer
- Internal Medicine Department I, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
- Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany
| | - Alexander Bartschke
- Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Carla Bellinghausen
- Department of Respiratory Medicine and Allergology, Medical Clinic 1, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Inga Bernemann
- Hannover Medical School, Hannover Unified Biobank, Hannover, Germany
| | - Markus Brechtel
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Folke Brinkmann
- Department of Paediatric Pneumology, Allergy and CF- Centre, University Children’s Hospital, Ruhr- University Bochum, Bochum, Germany
| | - Clara Brünn
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christine Dhillon
- COVID-19 Task Force, University Hospital Augsburg, Augsburg, Germany
| | - Cornelia Fiessler
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Ramsia Geisler
- Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Germany
| | - Eckard Hamelmann
- Department of Pediatrics, Children’s Center Bethel, University Hospital East Westphalia, University Bielefeld, Bielefeld, Germany
| | - Stefan Hansch
- Department for Infectious Diseases and Infection Control, University Hospital Regensburg, Regensburg, Germany
| | - Frank Hanses
- Department for Infectious Diseases and Infection Control, University Hospital Regensburg, Regensburg, Germany
- Emergency Department, University Hospital Regensburg, Regensburg, Germany
| | - Sabine Hanß
- University Medical Center Göttingen (UMG), Göttingen, Germany
- German Center for Cardiovascular Diseases (DZHK), Berlin, Germany
| | - Susanne Herold
- Department of Internal Medicine V, University Hospital Giessen and Marburg, Justus-Liebig-University Giessen, Giessen, Germany
- Department of Internal Medicine, German Center for Lung Research (DZL), Universities of Giessen and Marburg Lung Center (UGMLC), Justus Liebig University Giessen, Giessen, Germany
- Institute for Lung Health (ILH), Giessen, Germany
| | - Ralf Heyder
- NUM Coordination Office, Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Anna-Lena Hofmann
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Sina Marie Hopff
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Anna Horn
- Insitute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Carolin Jakob
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Steffi Jiru-Hillmann
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Thomas Keil
- Insitute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
- State Institute of Health, Bavarian Health and Food Safety Authority, Bad Kissingen, Germany
| | - Yascha Khodamoradi
- Department of Infectious Diseases, Medical Clinic 2, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | - Mirjam Kohls
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Monika Kraus
- Institute of Epidemiology, Helmholtz Center Munich, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich, Munich, Germany
| | - Dagmar Krefting
- University Medical Center Göttingen (UMG), Göttingen, Germany
- German Center for Cardiovascular Diseases (DZHK), Berlin, Germany
| | - Sonja Kunze
- Institute of Epidemiology, Helmholtz Center Munich, Munich, Germany
| | - Florian Kurth
- Department of Infectious Diseases and Respiratory Medicine, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
- Department of Tropical Medicine, Bernhard Nocht Institute for Tropical Medicine, and Department of Medicine I, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Lena Johanna Lippert
- Department of Infectious Diseases and Respiratory Medicine, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Roberto Lorbeer
- Department of Radiology, University Hospital, LMU, Munich, Germany
- Medical Heart Center of Charité and German Heart Institute Berlin, Institute of Computer-Assisted Cardiovascular Medicine, Berlin, Germany
| | - Bettina Lorenz-Depiereux
- Institute of Epidemiology, Helmholtz Center Munich, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich, Munich, Germany
| | - Corina Maetzler
- Department of Neurology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel University, Kiel, Germany
| | - Olga Miljukov
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Daniel Pape
- Department I of Internal Medicine, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Valentina Püntmann
- German Center for Cardiovascular Diseases (DZHK), Berlin, Germany
- Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt am Main, Frankfurt, Germany
| | - Lennart Reinke
- Department of Internal Medicine I, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Christoph Römmele
- COVID-19 Task Force, University Hospital Augsburg, Augsburg, Germany
| | - Stefanie Rudolph
- Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Joint Charité and BIH Clinical Study Center, Charitéplatz 1, 10117 Berlin, Germany
| | - Julian Sass
- Core Facility Digital Medicine and Interoperability, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Christian Schäfer
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK e.V. (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Jens Schaller
- Medical Heart Center of Charité and German Heart Institute Berlin, Institute of Computer-Assisted Cardiovascular Medicine, Berlin, Germany
- Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt – Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany
| | - Mario Schattschneider
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christian Scheer
- Department of Anesthesiology and Intensive Care Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Margarete Scherer
- Department II of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt, Germany
| | - Sein Schmidt
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Clinical Study Center, Charitéplatz 1, 10117 Berlin, Germany
| | - Julia Schmidt
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Kristina Seibel
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Dana Stahl
- German Center for Cardiovascular Diseases (DZHK), Berlin, Germany
- University Medicine Greifswald, Greifswald, Germany
| | - Fridolin Steinbeis
- Department of Infectious Diseases and Respiratory Medicine, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Stefan Störk
- Comprehensive Heart Failure Center, University and University Hospital Würzburg, Würzburg, Germany
- Department of Internal Medicine I, University Hospital Würzburg, Würzburg, Germany
| | - Maike Tauchert
- Institute of Epidemiology, Helmholtz Center Munich, Munich, Germany
| | - Johannes Josef Tebbe
- Department of Gastroenterology and Infectious Disease, University Medical Center East Westphalia-Lippe, Klinikum Lippe, Detmold, Germany
| | - Charlotte Thibeault
- Department of Infectious Diseases and Respiratory Medicine, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Nicole Toepfner
- Department of Pediatrics, Carl Gustav Carus University Hospital, TU Dresden, Dresden, Germany
| | - Kathrin Ungethüm
- Insitute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Istvan Vadasz
- Institute for Lung Health (ILH), Giessen, Germany
- Department of Internal Medicine, University Hospital Giessen and Marburg, Justus Liebig University Giessen, Giessen, Germany
- Universities of Giessen and Marburg Lung Center (UGMLC), German Center for Lung Research (DZL), Frankfurt, Germany
| | - Heike Valentin
- German Center for Cardiovascular Diseases (DZHK), Berlin, Germany
- University Medicine Greifswald, Greifswald, Germany
| | - Silke Wiedmann
- NUM Coordination Office, Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Thomas Zoller
- Department of Infectious Diseases and Respiratory Medicine, Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Eike Nagel
- German Center for Cardiovascular Diseases (DZHK), Berlin, Germany
- Institute for Experimental and Translational Cardiovascular Imaging, University Hospital Frankfurt am Main, Frankfurt, Germany
| | - Michael Krawczak
- Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Christof von Kalle
- Charité – Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin, Joint Charité and BIH Clinical Study Center, Charitéplatz 1, 10117 Berlin, Germany
| | - Thomas Illig
- Hannover Medical School, Hannover Unified Biobank, Hannover, Germany
| | - Stefan Schreiber
- Department of Internal Medicine I, University Hospital Schleswig Holstein, Kiel University, Kiel, Germany
| | - Martin Witzenrath
- Department of Infectious Diseases and Respiratory Medicine, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
- German Center for Lung Research (DZL), Frankfurt, Germany
| | - Peter Heuschmann
- Insitute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Clinical Trial Center Würzburg, University Hospital Würzburg, Würzburg, Germany
| | - Jörg Janne Vehreschild
- Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Internal Medicine, Hematology/Oncology, Goethe University, Frankfurt,, Germany
- German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany
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14
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Willems LM, Hochbaum M, Zöllner JP, Schulz J, Menzler K, Langenbruch L, Kovac S, Knake S, von Podewils F, Hamacher M, Hamer HM, Reese JP, Frey K, Rosenow F, Strzelczyk A. Trends in resource utilization and cost of illness in patients with active epilepsy in Germany from 2003 to 2020. Epilepsia 2022; 63:1591-1602. [PMID: 35305026 DOI: 10.1111/epi.17229] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 01/26/2022] [Accepted: 03/16/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To calculate epilepsy-related direct, indirect, and total costs in adult patients with active epilepsy (ongoing unprovoked seizures) in Germany and to analyze cost components and dynamics compared to previous studies from 2003, 2008 and 2013. This analysis was part of the Epi2020 study. METHODS Direct and indirect costs related to epilepsy were calculated with a multicenter survey using an established and validated questionnaire with a bottom-up design and human capital approach over a 3-month period in late 2020. Epilepsy-specific costs in the German health care sector from 2003, 2008 and 2013 were corrected for inflation to allow for a valid comparison. RESULTS Data on the disease-specific costs for 253 patients in 2020 were analyzed. The mean total costs were calculated at € 5,551 (± € 5,805; median: € 2,611; range: € 274 to € 21,667) per three months, comprising mean direct costs of € 1,861 (± € 1,905; median: € 1,276; range: € 327 to € 13,158) and mean indirect costs of € 3,690 (± € 5,298; median: € 0; range: € 0 to € 11,925). The main direct costs components were hospitalization (42.4%), anti-seizure medication (42.2%) and outpatient care (6.2%). Productivity losses due to early retirement (53.6%), part-time work or unemployment (30.8%) and seizure-related off-days (15.6%) were the main reasons for indirect costs. However, compared to 2013, there was no significant increase of direct costs (-10.0%), and indirect costs significantly increased (p<0.028, +35.1%), resulting in a significant increase in total epilepsy-related costs (p<0.047, +20.2%). Compared to the 2013 study population, a significant increase of cost of illness could be observed (p=0.047). SIGNIFICANCE The present study shows that disease-related costs in adult patients with active epilepsy increased from 2013 to 2020. As direct costs have remained constant, this increase is attributable to an increase in indirect costs. These findings highlight the impact of productivity loss caused by early retirement, unemployment, working time reduction and seizure-related days off.
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Affiliation(s)
- Laurent M Willems
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CEPTeR), Goethe-University, Frankfurt, Frankfurt am Main, Germany
| | - Maja Hochbaum
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CEPTeR), Goethe-University, Frankfurt, Frankfurt am Main, Germany
| | - Johann Philipp Zöllner
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CEPTeR), Goethe-University, Frankfurt, Frankfurt am Main, Germany
| | - Juliane Schulz
- Department of Neurology, University Hospital Greifswald, Greifswald, Germany
| | - Katja Menzler
- Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | - Lisa Langenbruch
- Epilepsy Center Münster-Osnabrück, Department of Neurology with Institute of Translational Neurology, Westfälische Wilhelms-University, Münster, Germany.,Department of Neurology, Klinikum Osnabrück, Osnabrück, Germany
| | - Stjepana Kovac
- Epilepsy Center Münster-Osnabrück, Department of Neurology with Institute of Translational Neurology, Westfälische Wilhelms-University, Münster, Germany
| | - Susanne Knake
- Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | - Felix von Podewils
- Department of Neurology, University Hospital Greifswald, Greifswald, Germany
| | - Mario Hamacher
- Department of Neurology, University Hospital Greifswald, Greifswald, Germany
| | - Hajo M Hamer
- Epilepsy Center and Department of Neurology, Friedrich-Alexander-University, Erlangen, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Katharina Frey
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CEPTeR), Goethe-University, Frankfurt, Frankfurt am Main, Germany
| | - Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CEPTeR), Goethe-University, Frankfurt, Frankfurt am Main, Germany
| | - Adam Strzelczyk
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CEPTeR), Goethe-University, Frankfurt, Frankfurt am Main, Germany
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15
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Krause* D, Mai* A, Denz R, Johow J, Reese JP, Westerhoff B, Klaaßen-Mielke R, Timmesfeld N, Rittstieg A, Saracbasi-Zender E, Günzel J, Klink C, Schmitz E, Fendler C, Raub W, Böddeker S, Dybowski F, Hübner G, Menne HJ, Lakomek HJ, Sarholz M, Trampisch U, J. Trampisch H, Braun J. The Structured Delegation of Medical Care Services for Patients With Inflammatory Rheumatic Diseases. Dtsch Arztebl Int 2022; 119:157-164. [PMID: 35101166 PMCID: PMC9215273 DOI: 10.3238/arztebl.m2022.0109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 10/05/2021] [Accepted: 01/12/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND In some areas of Germany, there is a shortage of specialist physicians for patients with inflammatory rheumatic diseases. Delegating certain medical care services to qualified, specialized rheumatological assistants (SRAs) might be an effective way to supplement the available capacity for specialized medical care. METHODS Patients under stable treatment for rheumatoid arthritis (RA) or psoriatic arthritis (PsA) were included in this trial, which was designed to demonstrate, in a first step, the non-inferiority of a form of care involving delegation of physicians' tasks to SRAs (team-based care), in comparison to standard care, with respect to changes in disease activity at one year. "Non-inferiority," in this context, means either superiority or else an irrelevant extent of inferiority. In a second step, in case non-inferiority could be shown, the superiority of team-based care with respect to changes in patients' health-related quality of life would be tested as well. Disease activity was measured with the Disease Activity Score 28, and health-related quality of life with the EQ-5D-5L. This was a randomized, multicenter, rater-blinded trial with two treatment arms (team-based care and standard care). The statistical analysis was performed with mixed linear models (DRKS00015526). RESULTS From September 2018 to June 2019, 601 patients from 14 rheumatological practices and 3 outpatient rheumatological clinics in the German states of North Rhine-Westphalia and Lower Saxony were randomized to either team-based or standard care. Team-based care was found to be non-inferior to standard care with respect to changes in disease activity (adjusted difference = -0.19; 95% confidence interval [-0.36; -0.02]; p <0.001 for non-inferiority). Superiority with respect to health-related quality of life was not demonstrated (adjusted difference = 0.02 [-0.02; 0.05], p = 0.285). CONCLUSION Team-based care, with greater integration of SRAs, is just as good as standard care in important respects. Trained SRAs can effectively support rheumatologists in the care of stable patients with RA or PsA.
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Affiliation(s)
- Dietmar Krause*
- *The authors contributed equally to this paper
- Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | - Anna Mai*
- *The authors contributed equally to this paper
- Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum
| | - Robin Denz
- Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum
| | - Johannes Johow
- Coordination Center for Clinical Trials of Philipps University Marburg
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, Julius Maximilian University Würzburg
| | | | - Renate Klaaßen-Mielke
- Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum
| | - Nina Timmesfeld
- Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum
| | - Annette Rittstieg
- *The authors contributed equally to this paper
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | | | - Judith Günzel
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | - Claudia Klink
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | - Elmar Schmitz
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | - Claas Fendler
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | - Wolf Raub
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | - Stephanie Böddeker
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | - Friedrich Dybowski
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | - Georg Hübner
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | - Hans-Jürgen Menne
- Specialist rheumatology practices in North Rhine–Westphalia and Lower Saxony
| | - Heinz-Jürgen Lakomek
- Johannes Wesling Minden Hospital, Germany, Department of Rheumatology and Physical Medicine
| | | | - Ulrike Trampisch
- Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum
| | - Hans J. Trampisch
- Department of Medical Informatics, Biometry and Epidemiology, Ruhr University Bochum
| | - Jürgen Braun
- The Ruhr District Rheumatology Center, Ruhr University Bochum
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16
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Willems LM, Hochbaum M, Frey K, Schulz J, Menzler K, Langenbruch L, Kovac S, Immisch I, von Podewils F, Hamacher M, Siebenbrodt K, Rosenow F, Reese JP, Strzelczyk A. Multicenter, cross-sectional study of the costs of illness and cost-driving factors in adult patients with epilepsy. Epilepsia 2022; 63:904-918. [PMID: 35192210 DOI: 10.1111/epi.17174] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 01/02/2022] [Accepted: 01/12/2022] [Indexed: 02/01/2023]
Abstract
OBJECTIVE This study was undertaken to quantify epilepsy-related costs of illness (COI) in Germany and identify cost-driving factors. METHODS COI were calculated among adults with epilepsy of different etiologies and severities. Multiple regression analysis was applied to determine any epilepsy-related and sociodemographic factors that serve as cost-driving factors. RESULTS In total, 486 patients were included, with a mean age of 40.5 ± 15.5 years (range = 18-83 years, 58.2% women). Mean 3-month COI were estimated at €4911, €2782, and €2598 for focal, genetic generalized, and unclassified epilepsy, respectively. The mean COI for patients with drug-refractory epilepsy (DRE; €7850) were higher than those for patients with non-DRE (€4720), patients with occasional seizures (€3596), or patients with seizures in remission for >1 year (€2409). Identified cost-driving factors for total COI included relevant disability (unstandardized regression coefficient b = €2218), poorer education (b = €2114), living alone (b = €2612), DRE (b = €1831), and frequent seizures (b = €2385). Younger age groups of 18-24 years (b = -€2945) and 25-34 years (b = -€1418) were found to have lower overall expenditures. A relevant disability (b = €441), DRE (b = €1253), frequent seizures (b = €735), and the need for specialized daycare (b = €749) were associated with higher direct COI, and poorer education (b = €1969), living alone (b = €2612), the presence of a relevant disability (b = €1809), DRE (b = €1831), and frequent seizures (b = €2385) were associated with higher indirect COI. SIGNIFICANCE This analysis provides up-to-date COI data for use in further health economics analyses, highlighting the high economic impacts associated with disease severity, disability, and disease-related loss of productivity among adult patients with epilepsy. The identified cost drivers could be used as therapeutic and socioeconomic targets for future cost-containment strategies.
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Affiliation(s)
- Laurent M Willems
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Maja Hochbaum
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Katharina Frey
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Juliane Schulz
- Department of Neurology, University Hospital Greifswald, Greifswald, Germany
| | - Katja Menzler
- Epilepsy Center Hessen and Department of Neurology, Philipps University Marburg, Marburg (Lahn), Germany
| | - Lisa Langenbruch
- Epilepsy Center Münster-Osnabrück, Department of Neurology, Institute of Translational Neurology, University of Münster, Münster, Germany.,Department of Neurology, Osnabrück Hospital, Osnabrück, Germany
| | - Stjepana Kovac
- Epilepsy Center Münster-Osnabrück, Department of Neurology, Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Ilka Immisch
- Epilepsy Center Hessen and Department of Neurology, Philipps University Marburg, Marburg (Lahn), Germany
| | - Felix von Podewils
- Department of Neurology, University Hospital Greifswald, Greifswald, Germany
| | - Mario Hamacher
- Department of Neurology, University Hospital Greifswald, Greifswald, Germany
| | - Kai Siebenbrodt
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Adam Strzelczyk
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe University and University Hospital Frankfurt, Frankfurt am Main, Germany.,LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe University Frankfurt, Frankfurt am Main, Germany
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17
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Willems LM, Knake S, Rosenow F, Reese JP, Conradi N, Strzelczyk A. EuroQOL-5D-3L does not adequately map quality-of-life deterioration in severely affected patients with epilepsy. Epilepsy Behav 2022; 127:108554. [PMID: 35063789 DOI: 10.1016/j.yebeh.2022.108554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 12/21/2021] [Accepted: 01/03/2022] [Indexed: 11/28/2022]
Abstract
INTRODUCTION The steadily increasing impact of health-related quality of life (HRQOL) on reasonable diagnostic and therapeutic decisions makes the correct mapping of HRQOL indispensable in modern epileptology. The aim of this study was to address the reliability of the often-used generic HRQOL screening questionnaire EuroQOL 5-dimension, 3-level (EQ-5D-3L) by comparing its normalized index value (calculated via the time trade-off method) and visual analog scale (VAS) to the gold standard of the extensive Quality of Life in Epilepsy Inventory (QOLIE-31). QOLIE-10 scores were compared with the extensive QOLIE-31 and EQ-5D-3L TTO. METHODS We conducted a retrospective analysis of a monocentric study of 184 patients with epilepsy. Bivariate Spearman correlation analysis and Fisher's r-to-z transformation were used to compare the strengths of correlations of EQ-5D-3L, QOLIE-10 and QOLIE-31 with different epilepsy-specific domains (disease severity, drug interactions, emotional well-being, stigmatization, seizure-related anxiety, cognitive impairment). RESULTS The different metrics of EQ-5D-3L, QOLIE-10 and QOLIE-31 showed moderate to very strong intra- and inter-metric correlations for overall HRQOL. Quality of Life in Epilepsy Inventory-31 VAS and EQ-5D-3L VAS did not show any significantly different strengths of correlations with respect to the domains studied. In contrast, the correlation strength of the normalized EQ-5D-3L index value differed significantly from the QOLIE-31 T-score for several domains, for example, for drug-related adverse events, neuropsychological deficits, symptoms of depression and seizure worry. In seizure-free patients, EQ-5D-3L VAS and EQ-5D-3L index values correlated significantly less with the domain of "cognitive impairment" than the QOLIE-31 T-score. In patients without relevant neuropsychological deficits, the strengths of correlations with the assessed domains did not differ significantly between EQ-5D-3L metrics and the QOLIE-31 T-score. The HRQOL mapping probability of QOLIE-10 was inferior to QOLIE-31 and comparable to EQ-5D-3L regarding the analyzed domains. CONCLUSION In contrast to the EQ-5D-3L VAS, EQ-5D-3L index values do not adequately map health-related quality of life in severely affected patients with epilepsy and therefore should not be used as screening tools. The QOLIE-31 T-score remains the gold standard for HRQOL assessment in patients with epilepsy.
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Affiliation(s)
- Laurent M Willems
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University, Frankfurt am Main, Germany; Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University, Frankfurt am Main, Germany
| | - Susanne Knake
- Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University, Frankfurt am Main, Germany; Epilepsy Center Hessen and Department of Neurology, Philipps-University, Marburg, Germany
| | - Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University, Frankfurt am Main, Germany; Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University, Frankfurt am Main, Germany
| | - Jens-Peter Reese
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University, Würzburg, Germany
| | - Nadine Conradi
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University, Frankfurt am Main, Germany; Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University, Frankfurt am Main, Germany
| | - Adam Strzelczyk
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Goethe-University, Frankfurt am Main, Germany; Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University, Frankfurt am Main, Germany.
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18
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Weise C, Grupp F, Reese JP, Schade-Brittinger C, Ehring T, Morina N, Stangier U, Steil R, Johow J, Mewes R. Efficacy of a Low-threshold, Culturally-Sensitive Group Psychoeducation Programme for Asylum Seekers (LoPe): study protocol for a multicentre randomised controlled trial. BMJ Open 2021; 11:e047385. [PMID: 34649846 PMCID: PMC8522658 DOI: 10.1136/bmjopen-2020-047385] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 09/16/2021] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION Despite high levels of mental distress, accessing psychological treatment is difficult for asylum seekers in Western host countries due to a lack of knowledge about mental disorders, and the health system, as well as due to cultural and language barriers. This study aims to investigate whether brief culturally sensitive and transdiagnostic psychoeducation is effective in increasing mental health literacy. METHODS AND ANALYSIS The study is a parallel two-group randomised controlled trial with 1:1 individual allocation to either culturally sensitive, low-threshold psychoeducation ('Tea Garden' (TG)) or a waitlist (WL) control group. It takes place at four study sites in Germany. A total of 166 adult asylum seekers who report at least mild mental distress will be randomly assigned. The TG consists of two 90 min group sessions and provides information about mental distress, resources and mental health services in a culturally sensitive manner. The primary outcome is the percentage of participants in the TG, as compared with the WL, achieving an increase in knowledge concerning symptoms of mental disorders, individual resources and mental healthcare from preintervention to postintervention. The further trajectory will be assessed 2 and 6 months after the end of the intervention. Secondary outcomes include changes in mental distress, openness towards psychotherapy and resilience. Furthermore, healthcare utilisation and economics will be assessed at all assessment points. ETHICS AND DISSEMINATION The study has been approved by the Ethics Commission of the German Psychological Society (ref: WeiseCornelia2019-10-18VA). Results will be disseminated via presentations, publication in international journals and national outlets for clinicians. Furthermore, intervention materials will be available, and the existing network will be used to disseminate and implement the interventions into routine healthcare. TRIAL REGISTRATION NUMBER DRKS00020564; Pre-results. PROTOCOL VERSION 2020-10-06, version number: VO2F.
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Affiliation(s)
- Cornelia Weise
- Department of Psychology, Division of Clinical Psychology and Psychotherapy, Philipps-University of Marburg, Marburg, Germany
| | - Freyja Grupp
- Department of Psychology, Division of Clinical Psychology and Psychotherapy, Philipps-University of Marburg, Marburg, Germany
| | - Jens-Peter Reese
- Institute for Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- Coordinating Centre for Clinical Trials Marburg, Faculty of Medicine, Philipps-University of Marburg, Marburg, Germany
| | - Carmen Schade-Brittinger
- Coordinating Centre for Clinical Trials Marburg, Faculty of Medicine, Philipps-University of Marburg, Marburg, Germany
| | - Thomas Ehring
- Department of Psychology, Clinical Psychology and Psychological Treatment, Ludwig-Maximilians-University Munich, Munchen, Germany
| | - Nexhmedin Morina
- Institute of Psychology, Clinical Psychology and Psychotherapy, University of Münster, Münster, Germany
| | - Ulrich Stangier
- Department of Psychology, Clinical Psychology and Psychotherapy, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Regina Steil
- Department of Psychology, Clinical Psychology and Psychotherapy, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Johannes Johow
- Coordinating Centre for Clinical Trials Marburg, Faculty of Medicine, Philipps-University of Marburg, Marburg, Germany
| | - Ricarda Mewes
- Faculty of Psychology, Outpatient Unit for Research, Teaching and Practice, University of Vienna, Vienna, Austria
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19
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Zöllner JP, Conradi N, Sauter M, Knuf M, Knake S, Kurlemann G, Mayer T, Hertzberg C, Bertsche A, Immisch I, Klein KM, Marquard K, Meyer S, Noda AH, von Podewils F, Schäfer H, Thiels C, Zukunft B, Schubert-Bast S, Grau J, Willems LM, Rosenow F, Reese JP, Strzelczyk A. Quality of life and its predictors in adults with tuberous sclerosis complex (TSC): a multicentre cohort study from Germany. Neurol Res Pract 2021; 3:35. [PMID: 34176514 PMCID: PMC8237479 DOI: 10.1186/s42466-021-00130-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 05/10/2021] [Indexed: 12/26/2022] Open
Abstract
Background Tuberous sclerosis complex (TSC) is a monogenetic, multisystemic disease characterised by the formation of benign tumours that can affect almost all organs, caused by pathogenic variations in TSC1 or TSC2. In this multicentre study from Germany, we investigated the influence of sociodemographic, clinical, and therapeutic factors on quality of life (QoL) among individuals with TSC. Methods We assessed sociodemographic and clinical characteristics and QoL among adults with TSC throughout Germany using a validated, three-month, retrospective questionnaire. We examined predictors of health-related QoL (HRQoL) using multiple linear regression analysis and compared the QoL among patients with TSC with QoL among patients with other chronic neurological disorders. Results We enrolled 121 adults with TSC (mean age: 31.0 ± 10.5 years; range: 18–61 years, 45.5% [n = 55] women). Unemployment, a higher grade of disability, a higher number of organ manifestations, the presence of neuropsychiatric manifestations or active epilepsy, and a higher burden of therapy-related adverse events were associated with worse QoL, as measured by two QoL instruments (EuroQoL-5 dimensions [EQ-5D] and Quality of Life in Epilepsy Patients [QOLIE-31]). Neuropsychiatric and structural nervous system manifestations, the number of affected organs, and therapy-related adverse events were also associated with higher depression, as measured by the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E). In multiple regression analysis, more severe therapy-related adverse events (large effect, p < 0.001), active epilepsy (large effect, p < 0.001), and neuropsychiatric manifestations (medium effect, p = 0.003) were independently associated with worse HRQoL, explaining 65% of the variance (p < 0.001). The HRQoL among patients with active TSC-associated epilepsy was worse than that among patients with drug-refractory mesial temporal lobe epilepsy (p < 0.001), and the generic QoL among patients with more than three TSC organ manifestations was similar to those of patients with severe migraine and uncontrolled asthma. Conclusions Active epilepsy, neuropsychiatric manifestations (such as anxiety and depression), and therapy-related adverse events are important independent predictors of worse quality of life among adults with TSC. Generic quality of life in TSC with several manifestations is similar to uncontrolled severe chronic diseases and significantly negatively correlates with TSC severity. Trial registration DRKS, DRKS00016045. Registered 01 March 2019.
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Affiliation(s)
- Johann Philipp Zöllner
- Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany.,Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Nadine Conradi
- Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany.,Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Matthias Sauter
- Klinikum Kempten, Klinikverbund Allgäu, Kempten/Allgäu, Germany
| | - Markus Knuf
- Department of Pediatrics, Klinikum Worms, Worms, Germany.,Department of Pediatrics, University Medicine Mainz, Mainz, Germany
| | - Susanne Knake
- Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany
| | | | | | | | - Astrid Bertsche
- Department of Neuropediatrics, University Hospital for Children and Adolescents, Rostock, Germany
| | - Ilka Immisch
- Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany
| | - Karl Martin Klein
- Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany.,Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany.,Departments of Clinical Neurosciences, Medical Genetics, and Community Health Sciences, Hotchkiss Brain Institute & Alberta Children's Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Klaus Marquard
- Department of Pediatric Neurology, Psychosomatics and Pain Management, Klinikum Stuttgart, Stuttgart, Germany
| | - Sascha Meyer
- Department of Neuropediatrics, University Children's Hospital of Saarland, Homburg, Germany
| | - Anna H Noda
- Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany.,Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Felix von Podewils
- Department of Neurology, Epilepsy Center, University Medicine Greifswald, Greifswald, Germany
| | - Hannah Schäfer
- Division of Nephrology, Medizinische Klinik und Poliklinik IV, Klinikum der LMU München - Innenstadt, Munich, Germany.,Department of Nephrology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Charlotte Thiels
- Department of Neuropediatrics and Social Pediatrics, Ruhr University Bochum, Bochum, Germany
| | - Bianca Zukunft
- Department of Nephrology and Internal Intensive Care, Charité - University Medicine Berlin, Berlin, Germany
| | - Susanne Schubert-Bast
- Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany.,Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany.,Department of Neuropediatrics, Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Janina Grau
- Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany.,Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Laurent M Willems
- Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany.,Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany.,Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Jens-Peter Reese
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
| | - Adam Strzelczyk
- Epilepsy Center Frankfurt Rhine-Main, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany. .,Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany. .,Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany.
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20
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Reese JP. Prescription of Memantine/Donepezil: Influence of Industry Payments? Neurol Clin Pract 2021; 11:179-180. [PMID: 34484884 PMCID: PMC8382354 DOI: 10.1212/cpj.0000000000000926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Jens-Peter Reese
- Institute for Clinical Epidemiology and Biometry, University of Würzburg, Germany
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21
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Steil R, Lechner-Meichsner F, Johow J, Krüger-Gottschalk A, Mewes R, Reese JP, Schumm H, Weise C, Morina N, Ehring T. Brief imagery rescripting vs. usual care and treatment advice in refugees with posttraumatic stress disorder: study protocol for a multi-center randomized-controlled trial. Eur J Psychotraumatol 2021; 12:1872967. [PMID: 34992749 PMCID: PMC8725706 DOI: 10.1080/20008198.2021.1872967] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Revised: 12/17/2020] [Accepted: 12/17/2020] [Indexed: 01/08/2023] Open
Abstract
Background: Many refugees have experienced multiple traumatic events in their country of origin and/or during flight. Trauma-related disorders such as posttraumatic stress disorder (PTSD) or complex PTSD (CPTSD) are prevalent in this population, which highlights the need for accessible and effective treatment. Imagery Rescripting (ImRs), an imagery-based treatment that does not use formal exposure and that has received growing interest as an innovative treatment for PTSD, appears to be a promising approach. Objective: This randomized-controlled trial aims to investigate the efficacy of ImRs for refugees compared to Usual Care and Treatment Advice (UC+TA) on (C)PTSD remission and reduction in other related symptoms. Method: Subjects are 90 refugees to Germany with a diagnosis of PTSD according to DSM-5. They will be randomly allocated to receive either UC+TA (n = 45) or 10 sessions of ImRs (n = 45). Assessments will be conducted at baseline, post-intervention, three-month follow-up, and 12-month follow-up. Primary outcome is the (C)PTSD remission rate. Secondary outcomes are severity of PTSD and CPTSD symptoms, psychiatric symptoms, dissociative symptoms, quality of sleep, and treatment satisfaction. Economic analyses will investigate health-related quality of life and costs. Additional measures will assess migration and stress-related factors, predictors of dropout, therapeutic alliance and session-by-session changes in trauma-related symptoms. Results and Conclusions: Emerging evidence suggests the suitability of ImRs in the treatment of refugees with PTSD. After positive evaluation, this short and culturally adaptable treatment can contribute to close the treatment gap for refugees in high-income countries such as Germany. Trial registration: German Clinical Trials Register under trial number DRKS00019876, registered prospectively on 28 April 2020.
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Affiliation(s)
- Regina Steil
- Department of Psychology, Goethe University Frankfurt, Frankfurt, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg and Justus Liebig University Giessen, Giessen, Germany
| | | | - Johannes Johow
- Coordinating Centre for Clinical Trials (KKS), Philipps-University of Marburg, Marburg, Germany
| | | | - Ricarda Mewes
- Faculty of Psychology, University of Vienna, Vienna, Austria
| | - Jens-Peter Reese
- Coordinating Centre for Clinical Trials (KKS), Philipps-University of Marburg, Marburg, Germany
- Institut für Klinische Epidemiologie und Biometrie, Julius-Maximilians-Universität of Würzburg, Würzburg, Germany
| | - Hannah Schumm
- Department of Psychology, LMU Munich, Munich, Germany
| | - Cornelia Weise
- Department of Psychology, Philipps-University of Marburg, Marburg, Germany
| | - Nexhmedin Morina
- Institute of Psychology, University of Münster, Münster, Germany
| | - Thomas Ehring
- Department of Psychology, LMU Munich, Munich, Germany
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22
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Leichsenring F, Steinert C, Beutel ME, Feix L, Gündel H, Hermann A, Karabatsiakis A, Knaevelsrud C, König HH, Kolassa IT, Kruse J, Niemeyer H, Nöske F, Palmer S, Peters E, Reese JP, Reuss A, Salzer S, Schade-Brittinger C, Schuster P, Stark R, Weidner K, von Wietersheim J, Witthöft M, Wöller W, Hoyer J. Trauma-focused psychodynamic therapy and STAIR Narrative Therapy of post-traumatic stress disorder related to childhood maltreatment: trial protocol of a multicentre randomised controlled trial assessing psychological, neurobiological and health economic outcomes (ENHANCE). BMJ Open 2020; 10:e040123. [PMID: 33334832 PMCID: PMC7747578 DOI: 10.1136/bmjopen-2020-040123] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 11/05/2020] [Accepted: 11/13/2020] [Indexed: 12/28/2022] Open
Abstract
INTRODUCTION Success rates of psychotherapy in post-traumatic stress disorder related to childhood maltreatment (PTSD-CM) are limited. METHODS AND ANALYSIS Observer-blind multicentre randomised clinical trial (A-1) of 4-year duration comparing enhanced methods of STAIR Narrative Therapy (SNT) and of trauma-focused psychodynamic therapy (TF-PDT) each of up to 24 sessions with each other and a minimal attention waiting list in PTSD-CM. Primary outcome is severity of PTSD (Clinician-Administered PTSD Scale for DSM-5 total) assessed by masked raters. For SNT and TF-PDT, both superiority and non-inferiority will be tested. Intention-to-treat analysis (primary) and per-protocol analysis (secondary). Assessments at baseline, after 10 sessions, post-therapy/waiting period and at 6 and 12 months of follow-up. Adult patients of all sexes between 18 and 65 years with PTSD-CM will be included. Continuing stable medication is permitted. To be excluded: psychotic disorders, risk of suicide, ongoing abuse, acute substance related disorder, borderline personality disorder, dissociative identity disorder, organic mental disorder, severe medical conditions and concurrent psychotherapy. To be assessed for eligibility: n=600 patients, to be e randomly allocated to the study conditions: n=328. Data management, randomisation and monitoring will be performed by an independent European Clinical Research Infrastructure Network (ECRIN)-certified data coordinating centre for clinical trials (KKS Marburg). Report of AEs to a data monitoring and safety board. Complementing study A-1, four inter-related add-on projects, including subsamples of the treatment study A-1, will examine (1) treatment integrity (adherence and competence) and moderators and mediators of outcome (B-1); (2) biological parameters (B-2, eg, DNA damage, reactive oxygen species and telomere shortening); (3) structural and functional neural changes by neuroimaging (B-3) and (4) cost-effectiveness of the treatments (B-4, costs and utilities). ETHICS AND DISSEMINATION Approval by the institutional review board of the University of Giessen (AZ 168/19). Following the Consolidated Standards of Reporting Trials statement for non-pharmacological trials, results will be reported in peer-reviewed scientific journals and disseminated to patient organisations and media. TRIAL REGISTRATION NUMBER DRKS 00021142.
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Affiliation(s)
- Falk Leichsenring
- Justus Liebig University Giessen and Philipps University Marburg, Center for Mind, Brain and Behavior (CMBB), Giessen and Marburg, Germany
- Department of Psychotherapy and Psychosomatics, Justus Liebig University Giessen, Giessen, Germany
| | - Christiane Steinert
- Department of Psychotherapy and Psychosomatics, Justus Liebig University Giessen, Giessen, Germany
- International Psychoanalytic University Berlin gGmbH, Berlin, Germany
| | - Manfred E Beutel
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center Mainz, Mainz, Germany
| | - Lila Feix
- Department of Psychotherapy and Psychosomatics, Justus Liebig University Giessen, Giessen, Germany
| | - Harald Gündel
- Department of Psychosomatic Medicine and Psychotherapy, University Ulm Medical Centre, Ulm, Germany
| | - Andrea Hermann
- Justus Liebig University Giessen and Philipps University Marburg, Center for Mind, Brain and Behavior (CMBB), Giessen and Marburg, Germany
- Department of Psychotherapy and Systems Neuroscience, Justus Liebig Universitat Giessen, Giessen, Germany
- Justus Liebig University Giessen Bender Institute of Neuroimaging, Giessen, Germany
| | - Alexander Karabatsiakis
- Clinical Psychology II, University of Innsbruck, Innsbruck, Tirol, Austria
- Institute for Psychology and Education, Clinical & Biological Psychology, Ulm University, Ulm, Germany
| | - Christine Knaevelsrud
- Division of Clinical Psychological Intervention, Department of Education and Psychology, Freie Universitat Berlin, Berlin, Germany
| | - Hans-Helmut König
- Department for Health Economics and Health Services Research, Universitatsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Iris T Kolassa
- Institute for Psychology and Education, Clinical & Biological Psychology, Ulm University, Ulm, Germany
| | - Johannes Kruse
- Department of Psychotherapy and Psychosomatics, Justus Liebig University Giessen, Giessen, Germany
- Department of Psychotherapy and Psychosomatics, Philipps University Marburg, Marburg, Germany
| | - Helen Niemeyer
- Division of Clinical Psychological Intervention, Department of Education and Psychology, Freie Universitat Berlin, Berlin, Germany
| | - Fatima Nöske
- Department of Psychotherapy and Psychosomatics, Justus Liebig University Giessen, Giessen, Germany
| | - Sebastian Palmer
- Department of Psychotherapy and Systems Neuroscience, Justus Liebig Universitat Giessen, Giessen, Germany
| | - Eva Peters
- Psychoneuroimmunology Laboratory, Department of Psychosomatics and Psychotherapy, Justus Liebig Universitat Giessen, Giessen, Germany
- Charité Center 12 Internal Medicine and Dermatology, Division for General Internal Medicine, Psychosomatics and Psychotherapy, Universitätsmedizin Berlin, Berlin, Germany
| | - Jens-Peter Reese
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-Universität of Würzburg, Würzburg, Germany
- Coordinating Center for Clinical Trials - KKS, Philipps-Universitat Marburg, Marburg, Germany
| | - Alexander Reuss
- Coordinating Center for Clinical Trials - KKS, Philipps-Universitat Marburg, Marburg, Germany
| | - Simone Salzer
- International Psychoanalytic University Berlin gGmbH, Berlin, Germany
- Clinic of Psychosomatic Medicine and Psychotherapy, Georg-August-University Göttingen, Göttingen, Germany
| | | | - Patrick Schuster
- Department of Psychotherapy and Psychosomatics, Justus Liebig University Giessen, Giessen, Germany
| | - Rudolf Stark
- Justus Liebig University Giessen and Philipps University Marburg, Center for Mind, Brain and Behavior (CMBB), Giessen and Marburg, Germany
- Department of Psychotherapy and Systems Neuroscience, Justus Liebig Universitat Giessen, Giessen, Germany
- Justus Liebig University Giessen Bender Institute of Neuroimaging, Giessen, Germany
| | - Kerstin Weidner
- Department of Psychotherapy and Psychosomatic Medicine, Medizinische Fakultät Carl Gustav Carus, Technische Universitat Dresden, Dresden, Germany
| | - Jörn von Wietersheim
- Department of Psychosomatic Medicine and Psychotherapy, University Ulm Medical Centre, Ulm, Germany
| | - Michael Witthöft
- Department of Clinical Psychology, Psychotherapy and Experimental Psychopathology, Johannes Gutenberg University Mainz, Mainz, Germany
| | | | - Jürgen Hoyer
- Institute of Clincal Psychology and Psychotherapy, Technische Universität Dresden, Dresden, Germany
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Abstract
In Germany various concepts for treating patients with Parkinson's disease (PD) are available, e.g. oral medication with levodopa or deep brain stimulation (DBS), depending on the stage and severity of symptoms and also multidisciplinary management up to intersectoral treatment approaches (e.g. complex PD treatment and integrative care concepts). Nevertheless, in the treatment of patients with PD a comprehensive provision of services and a nationwide standardized collation of treatment quality are so far lacking. This is particularly true for technically complicated procedures, which necessitate a high standard of expertise by the treating physician. Some of these challenges could be overcome by expanding digital approaches (e.g. teleneurological consultation and wearables) and by introducing quality assurance initiatives (e.g. comprehensive registries and certification programs).
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Affiliation(s)
- Stephanie Stangl
- Institut für Klinische Epidemiologie und Biometrie (IKE-B), Julius-Maximilians-Universität Würzburg, Würzburg, Deutschland
| | - Kirsten Haas
- Institut für Klinische Epidemiologie und Biometrie (IKE-B), Julius-Maximilians-Universität Würzburg, Würzburg, Deutschland
| | - Carsten Eggers
- Klinik für Neurologie, Universitätsklinikum Marburg, Philipps-Universität Marburg, Marburg, Deutschland
| | - Jens-Peter Reese
- Koordinierungszentrum für Klinische Studien, Philipps-Universität Marburg Fachbereich Medizin, Marburg, Deutschland
| | - Lars Tönges
- St. Josef-Hospital, Klinik für Neurologie, Ruhr-Universität Bochum, Bochum, Deutschland
| | - Jens Volkmann
- Neurologische Klinik und Poliklinik, Universitätsklinikum Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Deutschland.
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Mai A, Braun J, Reese JP, Westerhoff B, Trampisch U, Klaassen-Mielke R, Timmesfeld N, Trampisch HJ, Krause D. Nurse-led care versus physician-led care in the management of rheumatoid arthritis and psoriatic arthritis (StaerkeR): study protocol for a multi-center randomized controlled trial. Trials 2019; 20:793. [PMID: 31888706 PMCID: PMC6937804 DOI: 10.1186/s13063-019-3808-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 10/18/2019] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND In Germany, the care of patients with inflammatory arthritis could be improved. Although specialized rheumatology nurses could take over substantial aspects of patient care, this hardly occurs in Germany. Thus, the aim of the study is to examine structured nursing consultation in rheumatology practices. METHODS/DESIGN In total, 800 patients with a stable course of rheumatoid arthritis or psoriatic arthritis in 20 centers in North Rhine-Westphalia and Lower Saxony will be randomized to either nurse-led care or standard care. Participating nurses will study for a special qualification in rheumatology and trial-specific issues. It is hypothesized that nurse-led care is non-inferior to standard care provided by rheumatologists with regard to a reduction of disease activity (DAS28) while it is hypothesized to be superior regarding changes in health-related quality of life (EQ-5D-5L) after 1 year. Secondary outcomes include functional capacity, patient satisfaction with treatment, and resource consumption. DISCUSSION Since there is insufficient care of rheumatology patients in Germany, the study may be able to suggest improvements. Nurse-led care has the potential to provide more efficient and effective patient care. This includes a more stringent implementation of the treat-to-target concept, which may lead to a higher percentage of patients reaching their treatment targets, thereby improving patient-related outcomes, such as quality of life, functional capacity, and participation. Additionally, nurse-led care may be highly cost-effective. Finally, this project may form the basis for a sustainable implementation of nurse-led care in standard rheumatology care in Germany. TRIAL REGISTRATION German Clinical Trials Register, DRKS00015526. Registered on 11 January 2019.
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Affiliation(s)
- Anna Mai
- Department of Medical Informatics, Biometry & Epidemiology, Ruhr-University Bochum, 44780 Bochum, Germany
| | | | - Jens-Peter Reese
- Coordinating Center for Clinical Trials of the Philipps-University of Marburg, 35043 Marburg, Germany
| | | | | | - Renate Klaassen-Mielke
- Department of Medical Informatics, Biometry & Epidemiology, Ruhr-University Bochum, 44780 Bochum, Germany
| | - Nina Timmesfeld
- Department of Medical Informatics, Biometry & Epidemiology, Ruhr-University Bochum, 44780 Bochum, Germany
| | - Hans J. Trampisch
- Department of Medical Informatics, Biometry & Epidemiology, Ruhr-University Bochum, 44780 Bochum, Germany
| | - Dietmar Krause
- Department of Medical Informatics, Biometry & Epidemiology, Ruhr-University Bochum, 44780 Bochum, Germany
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Willems LM, Hamer HM, Knake S, Rosenow F, Reese JP, Strzelczyk A. General Trends in Prices and Prescription Patterns of Anticonvulsants in Germany between 2000 and 2017: Analysis of National and Cohort-Based Data. Appl Health Econ Health Policy 2019; 17:707-722. [PMID: 31161366 DOI: 10.1007/s40258-019-00487-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
OBJECTIVE Our aim was to explore trends in price evolution and prescription volumes of anticonvulsants (AEDs, antiepileptic drugs) in Germany between 2000 and 2017. METHOD This study used data from annual reports on mean prescription frequency and prices of defined daily doses (DDD) of AEDs in Germany to analyze nationwide trends. Interrupted time series (ITS) analysis was employed to test for significant effects of several statutory healthcare reforms in Germany on AED price evolution. These data were compared to cohort-based prescription patterns of four German cohort studies from 2003, 2008, 2013, and 2016 that included a total of 1368 patients with focal and generalized epilepsies. RESULTS Analysis of national prescription data between 2000 and 2017 showed that mean prices per DDD of third-generation AEDs decreased by 65% and mean prices of second-generation AEDs decreased by 36%, whereas mean prices of first-generation AEDs increased by 133%. Simultaneously, mean prescription frequency of third- generation AEDs increased by 2494%, while there was a substantial decrease in the use of first- (- 55%) and second- (- 16%) generation AEDs. ITS analysis revealed that in particular the introduction of mandatory rebates on drugs in 2003 affected prices of frequently used newer AEDs. These findings are consistent with data from cohort studies of epilepsy patients showing a general decrease of prices for frequently used AEDs in monotherapy by 62% and in combination therapies by 68%. The analysis suggests that overall expenses for AEDs remained stable despite an increase in the prescription of "newer" and "non-enzyme-inducing" AEDs for epilepsy patients. CONCLUSION Between 2000 and 2017, a distinct decline in AED prices can be observed that seems predominately caused by a governmentally obtained price decline of third- and second-generation drugs. These observations seem to be the result of a German statutory cost containment policy applied across all health-care sectors. The increasing use of third-generation AEDs to the disadvantage of "old" and "enzyme-inducing" AEDs reflects the preferences of physicians and patients with epilepsy and follows national treatment guidelines.
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Affiliation(s)
- Laurent M Willems
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany
- LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
| | - Hajo M Hamer
- Epilepsy Center Erlangen and Department of Neurology, University Hospital Erlangen, Erlangen, Germany
| | - Susanne Knake
- LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
- Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany
| | - Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany
- LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
- Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany
| | - Jens-Peter Reese
- LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany
- Coordinating Center for Clinical Trials, Philipps-University Marburg, Marburg (Lahn), Germany
| | - Adam Strzelczyk
- Epilepsy Center Frankfurt Rhine-Main and Department of Neurology, Center of Neurology and Neurosurgery, Goethe-University Frankfurt, Schleusenweg 2-16 (Haus 95), 60528, Frankfurt am Main, Germany.
- LOEWE Center for Personalized Translational Epilepsy Research (CePTER), Goethe-University Frankfurt, Frankfurt am Main, Germany.
- Epilepsy Center Hessen and Department of Neurology, Philipps-University Marburg, Marburg (Lahn), Germany.
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Gumpert M, Reese JP. [Analysis of Different Quality Management Systems in Medical Practices in Saxony]. Gesundheitswesen 2019; 81:1037-1047. [PMID: 30808047 DOI: 10.1055/a-0832-199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
INTRODUCTION Since 1 January 2004, all physicians, psychotherapists and medical care centres on contracts with statutory healthcare in Germany are obliged according to § 135a section 2, no. 2 of the Fifth Social Security Statute Book to introduce and develop an intra-institutional quality management system. Thus, physicians are faced with the question of which quality management system is best suited to their own practice. METHODS A total of 24 medical practices were chosen by random sampling. The sample was collected in Saxony because the Health Insurance Physicians Unification Saxony provided the necessary information. First, 2 primary units were determined from the basic population. In the following step, a sample was taken for each primary unit using 3 quality management systems. The analysis was carried out with the help of three specially developed questionnaires (physician, employee and patient). The individual questions were developed independently of a quality management system. The basis was formed by the guidelines of the Federal Joint Committee, which describes the concrete contents of the quality categories. A total of 26 quality categories with different questions were available in the 3 survey groups. For the analysis of the data, the arithmetic mean was formed in the individual question complexes. Subsequently, a variance analysis was used to test whether the systems differed statistically significantly on average. Taking into account the costs of the individual quality management systems and their introduction, the effect size was finally analyzed according to η2 and Cohen's d. Finally, a cost-benefit analysis was carried out by researching the direct/indirect costs of the various quality management systems through a literature study. RESULTS Based on model documents and process support, the "Quality and Development in Practices" had the highest score. Due to a specific family practitioner specialty, "Quality management systems in Saxony medical practices" had the next best scores. The individual quality categories such as the 'range of services' or 'treatment pathways and guidelines' indicate significant differences and sustained effect sizes between quality management systems. CONCLUSION The assessment of quality management systems shows significant differences. The specific differences between the systems can be explained by the differences in process tools.
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Affiliation(s)
- Marcus Gumpert
- Kassenärztliche Vereinigung Sachsen, Abteilung Qualitätssicherung und Qualitätsmanagement, Dresden
| | - Jens-Peter Reese
- Philipps-Universität Marburg Fachbereich Medizin, Koordinierungszentrum für Klinische Studien, Marburg
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Gumpert M, Reese JP. Quality Management Systems in the Ambulant Sector: An Analytical Comparison of Different Quality Management Systems. Int J Environ Res Public Health 2019; 16:E444. [PMID: 30717424 PMCID: PMC6388389 DOI: 10.3390/ijerph16030444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Accepted: 01/31/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Since 1 January 2004, all physicians, psychotherapists, and medical care centers that are under contract to statutory healthcare in Germany are obliged, according to § 135a Section 2 of the Fifth Social Security Statute Book, to introduce an intra-institutional quality management system. METHODS A total of 24 medical practices were chosen through random sampling. In total, there were 12 family physicians and specialist practices each and eight practices each per quality management system. The analysis was carried out with the help of three specially developed questionnaires (physician, employee, and patient). A total of 26 quality categories with different questions were available in the three survey groups (physicians, employees, and patients). The Kruskal⁻Wallis test checked the extent to which the different scores between the quality management systems were significant and effective for specialists or family physicians. RESULTS "Quality and Development in Practices (QEP)" had the highest average score. Due to a specific family practitioner specialism, "Quality management in Saxony medical practices (QisA)" followed with good average scores. The individual quality categories in the quality management systems, such as the "range of services" or "allocation of appointments", received the highest average scores among the specialists. In contrast, categories such as "telephone enquiries" and "external cooperation and communication" received the highest average scores among the family physicians. CONCLUSION Differences in the evaluation of quality management systems and medical groups (specialists/family physicians) were found in the study. The reasons for these differences could be found in the quality categories.
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Affiliation(s)
- Marcus Gumpert
- Medical Faculty, Philipps-University of Marburg, Karl-von-Frisch-Strasse 4, 35043 Marburg, Germany.
- Department of Quality Assurance/Quality Management, Association of Statutory Health Insurance Physicians in Saxony, Schützenhöhe 12, 01099 Dresden, Germany.
| | - Jens-Peter Reese
- Coorsinating Center for Clinical Trials, Philipps-University of Marburg, Karl-von-Frisch-Strasse 4, 35043 Marburg, Germany.
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Gumpert M, Reese JP. [Analysis of individual quality categories from quality management systems and their influence on the overall system]. Z Evid Fortbild Qual Gesundhwes 2018; 139:28-36. [PMID: 30472276 DOI: 10.1016/j.zefq.2018.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 10/16/2018] [Accepted: 10/31/2018] [Indexed: 11/24/2022]
Abstract
INTRODUCTION According to Sect. 135a (2) of the Fifth Book of the German Social Code (SGB V), all physicians, psychotherapists and medical care centers are obliged to introduce an intra-institutional quality management system (QM system). The legislator instructed the Federal Joint Committee (G-BA) to develop basic requirements in a quality management guideline (QM-RL). Factor analysis was used to examine whether individual quality categories had a significant influence on the scores of QM systems. METHODS The random sample was collected in Saxony and included a total of 24 medical practices because these practices were made available for analysis by the Saxon Association of Statutory Health Insurance Physicians. First, two primary units (family physicians/specialists) were established from the population. In the following step, one sample per QM system was drawn for each primary unit. In total, there were twelve family physicians and twelve specialists, or eight practices per QM system. The analysis was performed using three self-constructed questionnaires (physician, employee and patient). The individual items were developed independently of a QM system (26 quality categories with 40 questions per survey group). For the analysis, the arithmetic mean was calculated in the individual groups of questions. Factor analysis was used to investigate which quality categories per QM system had a significant influence on the evaluations. The Kaiser-Meyer test was used to measure the data's suitability for factor analysis, also Bartlett's test relating to significance and the cumulative percentage of total of variance were applied. RESULTS In the first step, the quality categories having a significant influence on the overall evaluation of the QM system are presented. Regarding the DIN EN ISO 9001, 18 quality categories have a significant influence on the overall result; in QEP and QisA, 17 quality categories each have a significant influence on the overall result. The quality categories 'continuous professional development and qualification', 'hygiene and cleaning', 'quality management system', 'quality objectives', and 'procurement and storage' do not define an influence on the overall rating in any of the QM systems. Finally, eleven relevant quality categories were discovered which have an influence on all the QM systems. CONCLUSION 17 quality categories have a significant influence on the overall rating based on sample documents, flow charts, process flows, interview guidelines, maintenance protocols, or job advertisements. There are also eleven categories with a significant and pronounced effect on all three QM systems.
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Affiliation(s)
- Marcus Gumpert
- Abteilung Qualitätssicherung und Qualitätsmanagement, Kassenärztliche Vereinigung Sachsen, Dresden, Deutschland.
| | - Jens-Peter Reese
- Koordinierungszentrum für Klinische Studien, Institut für Versorgungsforschung und Klinische Epidemiologie, Philipps-Universität Marburg, Marburg, Deutschland
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Hessmann P, Dodel R, Baum E, Müller MJ, Paschke G, Kis B, Zeidler J, Klora M, Reese JP, Balzer-Geldsetzer M. Antipsychotic treatment of community-dwelling and institutionalised patients with dementia in Germany. Int J Psychiatry Clin Pract 2018; 22:232-239. [PMID: 29235398 DOI: 10.1080/13651501.2017.1414269] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVE A restrictive use of antipsychotic drugs in patients with Alzheimer's disease (AD) is recommended due to an increased risk of cerebrovascular events and mortality. We hypothesise that the prescription of antipsychotics is associated with the patients' socio-demographic and clinical status (e.g., dementia severity). METHODS The prescription of antipsychotics was cross-sectionally evaluated in 272 community-dwelling and 123 institutionalised patients with AD across all severity stages of dementia. The patients' clinical characteristics covered the cognitive status, neuropsychiatric symptoms, daily activities, and quality of life (HrQoL). To determine associations with the use of antipsychotics bivariate and logistic regression analyses were conducted. RESULTS Totally, 25% of the patients were treated with antipsychotics. significantly less frequently than nursing home inhabitants (15.1% vs. 45.5%). Severely demented patients (MMSE 0-9) received antipsychotics most often (51.5%). Additionally, multiple regression analyses revealed a higher chance of prescription for participants with depressive symptoms (OR 2.3, 95% CI: 1.019-5.160) and those treated by neuropsychiatric specialists (OR 3.4, 95% CI: 1.408-8.328). CONCLUSIONS Further longitudinal studies are required to assess the appropriateness of indications for antipsychotics and the reasons for a higher use in nursing home inhabitants and patients with severe dementia and depression.
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Affiliation(s)
- Philipp Hessmann
- a Department of Psychiatry and Psychotherapy , University Medical Center Goettingen , Goettingen , Germany.,b Center for Health Economics Research Hannover (CHERH) , Leibniz University Hannover , Hannover , Germany
| | - Richard Dodel
- c Department of Neurology , Philipps-University Marburg , Marburg , Germany.,d Chair of Geriatrics , University Hospital Essen, Geriatric Centre Haus Berge, Contilia GmbH , Essen , Germany
| | - Erika Baum
- e Department of General Practice , Philipps-University Marburg , Marburg , Germany
| | - Matthias J Müller
- f Oberberg Clinics Berlin , Berlin , Germany.,g Faculty of Medicine , Justus-Liebig-University Giessen , Giessen , Germany
| | - Greta Paschke
- h Practice for General Medicine , Wiesbaden , Germany
| | - Bernhard Kis
- a Department of Psychiatry and Psychotherapy , University Medical Center Goettingen , Goettingen , Germany
| | - Jan Zeidler
- b Center for Health Economics Research Hannover (CHERH) , Leibniz University Hannover , Hannover , Germany
| | - Mike Klora
- b Center for Health Economics Research Hannover (CHERH) , Leibniz University Hannover , Hannover , Germany
| | - Jens-Peter Reese
- i Coordinating Center for Clinical Trials , Philipps-University Marburg , Marburg , Germany
| | - Monika Balzer-Geldsetzer
- c Department of Neurology , Philipps-University Marburg , Marburg , Germany.,d Chair of Geriatrics , University Hospital Essen, Geriatric Centre Haus Berge, Contilia GmbH , Essen , Germany
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30
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Willems LM, Richter S, Watermann N, Bauer S, Klein KM, Reese JP, Schöffski O, Hamer HM, Knake S, Rosenow F, Strzelczyk A. Trends in resource utilization and prescription of anticonvulsants for patients with active epilepsy in Germany from 2003 to 2013 - A ten-year overview. Epilepsy Behav 2018; 83:28-35. [PMID: 29649671 DOI: 10.1016/j.yebeh.2018.03.025] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2018] [Accepted: 03/14/2018] [Indexed: 11/30/2022]
Abstract
This study evaluated trends in resource use and prescription patterns in patients with active epilepsy over a 10-year period at the same outpatient clinic of a German epilepsy center. We analyzed a cross-sectional patient sample of consecutive adults with active epilepsy over a 3-month period in 2013 and compared them with equally acquired data from the years 2003 and 2008. Using validated patient questionnaires, data on socioeconomic status, course of epilepsy, as well as direct and indirect costs were recorded. A total of 198 patients (mean age: 39.6±15.0years, 49.5% male) were enrolled and compared with our previous assessments in 2003 (n=101) and 2008 (n=151). In the 2013 cohort, 75.8% of the patients had focal epilepsy, and the majority were taking antiepileptic drugs (AEDs) (39.9% monotherapy, 59.1% polytherapy). We calculated epilepsy-specific costs of €3674 per three months per patient. Direct medical costs were mainly due to anticonvulsants (20.9% of total direct costs) and to hospitalization (20.8% of total direct costs). The proportion of enzyme-inducing anticonvulsants and 'old' AEDs decreased between 2003 and 2013. Indirect costs of €1795 in 2013 were mainly due to early retirement (55.0% of total indirect costs), unemployment (26.5%), and days off due to seizures (18.2%). In contrast to our previous findings from 2003 and 2008, our data show a stagnating cost increase with slightly reduced total costs and balanced direct and indirect costs in patients with active epilepsy. These findings are accompanied by an ongoing cost-neutral increase in the prescription of 'newer' and non-enzyme-inducing AEDs. However, the number and distribution of indirect cost components remained unchanged.
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Affiliation(s)
- Laurent M Willems
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, Goethe-University, Frankfurt am Main, Germany
| | - Saskia Richter
- Epilepsy Center Hessen, Department of Neurology, Philipps-University, Marburg, Germany
| | - Nina Watermann
- Epilepsy Center Hessen, Department of Neurology, Philipps-University, Marburg, Germany
| | - Sebastian Bauer
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, Goethe-University, Frankfurt am Main, Germany; Epilepsy Center Hessen, Department of Neurology, Philipps-University, Marburg, Germany
| | - Karl Martin Klein
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, Goethe-University, Frankfurt am Main, Germany; Epilepsy Center Hessen, Department of Neurology, Philipps-University, Marburg, Germany
| | - Jens-Peter Reese
- Coordinating Center for Clinical Trials, Philipps-University, Marburg, Germany
| | - Oliver Schöffski
- Department of Health Management, Friedrich-Alexander-University, Nuremberg, Germany
| | - Hajo M Hamer
- Epilepsy Center, Department of Neurology, Friedrich-Alexander-University, Erlangen, Germany
| | - Susanne Knake
- Epilepsy Center Hessen, Department of Neurology, Philipps-University, Marburg, Germany
| | - Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, Goethe-University, Frankfurt am Main, Germany; Epilepsy Center Hessen, Department of Neurology, Philipps-University, Marburg, Germany
| | - Adam Strzelczyk
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, Goethe-University, Frankfurt am Main, Germany; Epilepsy Center Hessen, Department of Neurology, Philipps-University, Marburg, Germany.
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Hessmann P, Dodel R, Baum E, Müller M, Paschke G, Kis B, Zeidler J, Klora M, Reese JP, Balzer-Geldsetzer M. Prescription of Benzodiazepines and Related Drugs in Patients with Mild Cognitive Deficits and Alzheimer’s Disease. Pharmacopsychiatry 2018; 52:84-91. [DOI: 10.1055/s-0044-100523] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Abstract
Introduction Benzodiazepines and related drugs (BZDR) should be avoided in patients with cognitive impairment. We evaluated the relationship between a BZDR treatment and the health status of patients with Alzheimer’s disease (AD).
Methods Cross-sectional study in 395 AD patients using bivariate and multiple logistic analyses to assess correlations between the prescription of BZDR and patients’ characteristics (cognitive and functional capacity, health-related quality of life (HrQoL), neuropsychiatric symptoms).
Results BZDR were used in 12.4% (n=49) of all participants. In bivariate analyses, the prescription was associated with a lower HrQoL, a higher need of care, and the presence of anxiety. Multivariate models revealed a higher risk of BZDR treatment in patients with depression (OR 3.85, 95% CI: 1.45 – 10.27). Community-dwelling participants and those treated by neurologists/psychiatrists had a lower risk of receiving BZDR (OR 0.33, 95% CI: 0.12 – 0.89 and OR 0.16, 95% CI: 0.07 – 0.36).
Discussion The inappropriate use of BZDR conflicts with national and international guidelines. We suggest evaluating indications and treatment duration and improving the knowledge of alternative therapies in healthcare institutions.
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Affiliation(s)
- Philipp Hessmann
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Germany
- Center for Health Economics Research Hannover (CHERH), Leibniz University Hannover, Germany
| | - Richard Dodel
- Department of Neurology, Philipps-University Marburg, Germany
- University Hospital Essen, Geriatric Centre Haus Berge, Contilia GmbH, Germany
| | - Erika Baum
- Department of General Practice, Philipps-University Marburg, Germany
| | - Matthias Müller
- Oberberg Clinics Berlin, Germany, and Faculty of Medicine, Justus-Liebig-University Giessen, Germany
| | | | - Bernhard Kis
- Department of Psychiatry and Psychotherapy, University Medical Center Goettingen, Germany
| | - Jan Zeidler
- Center for Health Economics Research Hannover (CHERH), Leibniz University Hannover, Germany
| | - Mike Klora
- Center for Health Economics Research Hannover (CHERH), Leibniz University Hannover, Germany
| | - Jens-Peter Reese
- Coordinating Center for Clinical Trials, Philipps-University Marburg, Germany
| | - Monika Balzer-Geldsetzer
- Department of Neurology, Philipps-University Marburg, Germany
- University Hospital Essen, Geriatric Centre Haus Berge, Contilia GmbH, Germany
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Dams J, Balzer-Geldsetzer M, Siebert U, Deuschl G, Schuepbach WMM, Krack P, Timmermann L, Schnitzler A, Reese JP, Dodel R. Cost-effectiveness of neurostimulation in Parkinson's disease with early motor complications. Mov Disord 2018; 31:1183-91. [PMID: 27506638 DOI: 10.1002/mds.26740] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 06/13/2016] [Accepted: 06/26/2016] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Recent research efforts have focused on the effects of deep brain stimulation of the subthalamic nucleus (STN DBS) for selected patients with mild-to-moderate PD experiencing motor complications. OBJECTIVES We assessed the cost utility of subthalamic DBS compared with the best medical treatment for German patients below the age of 61 with early motor complications of PD. METHODS We applied a previously published Markov model that integrated health utilities based on EuroQoL and direct costs over patients' lifetime adjusted to the German health care payer perspective (year of costing: 2013). Effectiveness was evaluated using the Parkinson's Disease Questionnaire 39 summary index. We performed sensitivity analyses to assess uncertainty. RESULTS In the base-case analysis, the incremental cost-utility ratio for STN DBS compared to best medical treatment was 22,700 Euros per quality-adjusted life year gained. The time to, and costs for, battery exchange had a major effect on the incremental cost-utility ratios, but never exceeded a threshold of 50,000 Euros per quality-adjusted life year. CONCLUSIONS Our decision analysis supports the fact that STN DBS at earlier stages of the disease is cost-effective in patients below the age of 61 when compared with the best medical treatment in the German health care system. This finding was supported by detailed sensitivity analyses reporting robust results. Whereas the EARLYSTIM study has shown STN DBS to be superior to medical therapy with respect to quality of life for patients with early motor complications, this further analysis has shown its cost-effectiveness. © 2016 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Judith Dams
- Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | | | - Uwe Siebert
- Department of Public Health, Health Services Research and HealthTechnology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Hall i.T., Austria.,Institute for Technology Assessment and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.,Department of Health Policy and Management, Harvard Chan School of Public Health, Boston, Massachusetts, USA
| | - Günther Deuschl
- Department of Neurology, Christian-Albrechts-University Kiel, Kiel, Germany
| | - W M Michael Schuepbach
- Assistance-Publique Hôpitaux de Paris; Centre d'Investigation Clinique 9503, Institut du Cerveau et de la Moelle épinière; Département de Neurologie, Université Pierre et Marie Curie-Paris 6 et INSERM, CHU Pitié-Salpêtrière, Paris, France, and Movement Disorders Center, Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Paul Krack
- Department of Neurology, University Hospital INSERM Unite 836, Grenoble Alpes University, Saint-Martin-d'Hères, France
| | - Lars Timmermann
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Alfons Schnitzler
- Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine University Duesseldorf, Duesseldorf, Germany
| | - Jens-Peter Reese
- Department of Medical Sociology and Social Medicine, Philipps-University Marburg, Marburg, Germany
| | - Richard Dodel
- Department of Neurology, Philipps-University Marburg, Marburg, Germany.,Department of Geriatrics, University Duisburg-Essen, Essen, Germany
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Strzelczyk A, Griebel C, Lux W, Rosenow F, Reese JP. The Burden of Severely Drug-Refractory Epilepsy: A Comparative Longitudinal Evaluation of Mortality, Morbidity, Resource Use, and Cost Using German Health Insurance Data. Front Neurol 2017; 8:712. [PMID: 29312132 PMCID: PMC5743903 DOI: 10.3389/fneur.2017.00712] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2017] [Accepted: 12/11/2017] [Indexed: 01/14/2023] Open
Abstract
Purpose To evaluate long-term outcome of three years and treatment patterns of patients suffering from severely drug-refractory epilepsy (SDRE). Methods This analysis was population-based and retrospective, with data collected from four million individuals insured by statutory German health insurance. ICD-10 codes for epilepsy (G40*) and intake of anticonvulsants were used to identify prevalent cases, which were then compared with a matched cohort drawn from the population at large. Insurance data were available from 2008 to 2013. Any patient who had been prescribed with at least four different antiepileptic drugs (AEDs) in an 18-month period was defined as an SDRE case. Results A total of 769 patients with SDRE were identified. Of these, 19% were children and adolescents; the overall mean age was 42.3 years, 45.4% were female and 54.6% male. An average of 2.7 AEDs per patient was prescribed during the first follow-up year. The AEDs most commonly prescribed were: levetiracetam (53.5%), lamotrigine (41.4%), valproate (41.3%), lacosamide (20.4%), and topiramate (17.8%). During 3-year follow-up, there was an annual rate of hospitalization in the range 42.7 to 55%, which was significantly higher than the 11.6–12.8% (p < 0.001) for the matched controls. Admissions to hospital because of epilepsy ranged between 1.7 and 1.9 per year, with an average duration for each epilepsy-caused hospitalization of 10–11.1 days. The number of comorbidities for SDRE patients was significantly increased compared with the matched controls: depression (28% against 10%), vascular disorders (22% against 5%), and injury rates were also higher (head 16% against 3%, trunk and limbs 16% against 8%). The 3-year mortality rate for SDRE patients was 14% against 2.1% in the matched cohort. Conclusion SDRE patients are treated with AED polytherapy for all of the 3-year follow-up period. They are hospitalized more frequently than the general population and show increased morbidity levels and a sevenfold increase in mortality rate over 3 years. Further examination is required of ways in which new approaches to treatment could lead to better outcomes in severely affected patients.
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Affiliation(s)
- Adam Strzelczyk
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, Goethe University, Frankfurt am Main, Germany.,Epilepsy Center Hessen, Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | | | - Wolfram Lux
- HGC GesundheitsConsult GmbH, Düsseldorf, Germany
| | - Felix Rosenow
- Epilepsy Center Frankfurt Rhine-Main, Department of Neurology, Goethe University, Frankfurt am Main, Germany.,Epilepsy Center Hessen, Department of Neurology, Philipps-University Marburg, Marburg, Germany
| | - Jens-Peter Reese
- Institute of Health Service Research and Clinical Epidemiology, Coordinating Center for Clinical Trials, Philipps-University Marburg, Marburg, Germany
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Kostev K, Von Vultée C, Usinger DM, Reese JP. Tramadol prescription patterns in patients followed by general practitioners and orthopedists in Germany in the year 2015. Postgrad Med 2017; 130:37-41. [PMID: 29157058 DOI: 10.1080/00325481.2018.1407205] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
OBJECTIVES The aim of this study was to analyze tramadol prescription patterns in acute pain patients followed by general practitioners and orthopedists in Germany. METHODS This study included patients ≥18 years diagnosed with acute pain who received at least one tramadol prescription each in one of 1,129 general or 179 orthopedic practices in Germany between January and December 2015 (index date). Patients were excluded if they had received a prescription for another analgesic in the year prior to the index date, had a follow-up of less than 15 months after the index date, or were prescribed tramadol for a period of more than three months. The main outcome of this retrospective study was the share of patients receiving tramadol in combination therapy. Combination therapy was defined as the prescription of tramadol in conjunction with at least one other analgesic during the same medical visit. RESULTS The present study included a total of 8,766 individuals. Overall, 1,492 (22.0%) of tramadol patients seen by general practitioners and 370 (18.7%) of those seen by orthopedists received tramadol in combination with other analgesics. Although this proportion was similar throughout the different subgroups in orthopedic practices, it was considerably higher in patients >80 years and in those with private health insurance coverage in general practices. CONCLUSIONS Approximately one of five tramadol patients was prescribed tramadol in combination therapy. Further research is needed to gain a better understanding of the demographic and clinical factors that have an effect on tramadol prescription patterns in Germany.
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Affiliation(s)
- Karel Kostev
- a Epidemiology , QuintilesIMS , Frankfurt am Main , Germany
| | | | | | - Jens-Peter Reese
- d Institute of Health Service Research and Clinical Epidemiolgy and Coordinating Center for Clinical Trials , Philipps-University , Marburg , Germany
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Enders D, Balzer-Geldsetzer M, Riedel O, Dodel R, Wittchen HU, Sensken SC, Wolff B, Reese JP. Prevalence, Duration and Severity of Parkinson's Disease in Germany: A Combined Meta-Analysis from Literature Data and Outpatient Samples. Eur Neurol 2017; 78:128-136. [PMID: 28746937 DOI: 10.1159/000477165] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 04/28/2017] [Indexed: 01/30/2023]
Abstract
BACKGROUND Epidemiological data on the prevalence of Parkinson's disease (PD) in Germany are limited. The aims of this study were to estimate the age- and gender-specific prevalence of PD in Germany as well as the severity and illness duration. SUMMARY A systematic literature search was performed in 5 different databases. European studies were included if they reported age- and gender-specific numbers of prevalence rates of PD. Meta-analytic approaches were applied to derive age- and gender-specific pooled prevalence estimates. Data of 4 German outpatient samples were incorporated to calculate the proportion of patients with PD in Germany grouped by Hoehn and Yahr (HY) stages and disease duration. In the German population, 178,169 cases of PD were estimated (prevalence: 217.22/100,000). The estimated relative illness duration was 40% with less than 5 years, 31% with 5-9 years, and 29% with more than 9 years. The proportions for different HY stages were estimated at 13% (I), 30% (II), 35% (III), 17% (IV), and 4% (V), respectively. Key Message: We provide an up-to-date estimation of age- and gender-specific as well as severity-based prevalence figures for PD in Germany. Further community studies are needed to estimate population-based severity distributions and distributions of non-motor symptoms in PD.
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Affiliation(s)
- Dirk Enders
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
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Kortland LM, Alfter A, Bähr O, Carl B, Dodel R, Freiman TM, Hubert K, Jahnke K, Knake S, von Podewils F, Reese JP, Runge U, Senft C, Steinmetz H, Rosenow F, Strzelczyk A. Costs and cost-driving factors for acute treatment of adults with status epilepticus: A multicenter cohort study from Germany. Epilepsia 2016; 57:2056-2066. [DOI: 10.1111/epi.13584] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/20/2016] [Indexed: 11/30/2022]
Affiliation(s)
- Lena-Marie Kortland
- Department of Neurology; Epilepsy Center Frankfurt Rhine-Main; Goethe-University; Frankfurt am Main Germany
- Epilepsy Center Hessen and Department of Neurology; Philipps-University; Marburg Germany
| | - Anne Alfter
- Department of Neurology; Epilepsy Center Frankfurt Rhine-Main; Goethe-University; Frankfurt am Main Germany
| | - Oliver Bähr
- Senckenberg Institute of Neurooncology; Goethe-University; Frankfurt am Main Germany
| | - Barbara Carl
- Department of Neurosurgery; Philipps-University; Marburg Germany
| | - Richard Dodel
- Epilepsy Center Hessen and Department of Neurology; Philipps-University; Marburg Germany
- Department of Geriatrics; University Duisburg-Essen; Essen Germany
| | - Thomas M. Freiman
- Department of Neurosurgery; Goethe-University; Frankfurt am Main Germany
| | - Kristina Hubert
- Department of Neurology; Epilepsy Center Frankfurt Rhine-Main; Goethe-University; Frankfurt am Main Germany
| | - Kolja Jahnke
- Department of Neurology; Epilepsy Center Frankfurt Rhine-Main; Goethe-University; Frankfurt am Main Germany
| | - Susanne Knake
- Epilepsy Center Hessen and Department of Neurology; Philipps-University; Marburg Germany
| | - Felix von Podewils
- Department of Neurology and Epilepsy Center; Ernst-Moritz-Arndt-University; Greifswald Germany
| | - Jens-Peter Reese
- Institute of Health Service Research and Clinical Epidemiolgy and Coordinating Center for Clinical Trials; Philipps-University; Marburg Germany
| | - Uwe Runge
- Department of Neurology and Epilepsy Center; Ernst-Moritz-Arndt-University; Greifswald Germany
| | - Christian Senft
- Department of Neurosurgery; Goethe-University; Frankfurt am Main Germany
| | - Helmuth Steinmetz
- Department of Neurology; Epilepsy Center Frankfurt Rhine-Main; Goethe-University; Frankfurt am Main Germany
| | - Felix Rosenow
- Department of Neurology; Epilepsy Center Frankfurt Rhine-Main; Goethe-University; Frankfurt am Main Germany
- Epilepsy Center Hessen and Department of Neurology; Philipps-University; Marburg Germany
| | - Adam Strzelczyk
- Department of Neurology; Epilepsy Center Frankfurt Rhine-Main; Goethe-University; Frankfurt am Main Germany
- Epilepsy Center Hessen and Department of Neurology; Philipps-University; Marburg Germany
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Pankatz M, Stachow R, Reese JP. Studiendesign zur Entwicklung eines Fragebogens zur Identifikation der Motivationsstufe bei Jugendlichen mit Adipositas. Gesundheitswesen 2015. [DOI: 10.1055/s-0035-1563227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Gerlach N, Reese JP. Prevalence of gender role targeting in studies of disease and health deficiencies. Gesundheitswesen 2015. [DOI: 10.1055/s-0035-1563354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Linssen F, Reese JP. Regionale Unterschiede von Diabeteskomplikationen: Versorgungsepidemiologie am Beispiel Mexiko. Gesundheitswesen 2015. [DOI: 10.1055/s-0035-1563167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Pankatz M, Hampel P, Reese JP, Tiedjen U, Stachow R. Ergebnisse einer telefonischen Rehanachsorge nach stationärer Adipositasrehabilitation. Gesundheitswesen 2015. [DOI: 10.1055/s-0035-1563071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Dams J, Bornschein B, Siebert U, Volkmann J, Deuschl G, Oertel WH, Reese JP, Dodel R. Die Kosten-Effektivität der Tiefen Hirnstimulation für Patienten mit Morbus Parkinson. Gesundheitswesen 2013. [DOI: 10.1055/s-0033-1354216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Bücking B, Balzer-Geldsetzer M, Dodel R, Ruchholtz S, Reese JP, Gehrke J. Factors influencing short-term functional recovery of geriatric hip fracture patients - a prospective observational study. Gesundheitswesen 2013. [DOI: 10.1055/s-0033-1354220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Reese JP. Comparative Effectiveness Research - Aktuelle Anwendung und methodische Grenzen. Gesundheitswesen 2013. [DOI: 10.1055/s-0033-1354198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Dams J, Siebert U, Bornschein B, Volkmann J, Deuschl G, Oertel WH, Dodel R, Reese JP. Cost-effectiveness of deep brain stimulation in patients with Parkinson's disease. Mov Disord 2013; 28:763-71. [DOI: 10.1002/mds.25407] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2012] [Revised: 11/09/2012] [Accepted: 12/26/2012] [Indexed: 11/06/2022] Open
Affiliation(s)
- Judith Dams
- Department of Neurology; Philipps-University Marburg; Marburg Germany
| | - Uwe Siebert
- Department of Public Health and Health Technology Assessment; UMIT-University for Health Sciences, Medical Informatics, and Technology; Hall in Tirol Austria
- Institute for Technology Assessment and Department of Radiology; Massachusetts General Hospital; Harvard Medical School; Boston Massachusetts USA
- Department of Health Policy and Management; Harvard School of Public Health; Boston Massachusetts USA
| | - Bernhard Bornschein
- Department of Public Health and Health Technology Assessment; UMIT-University for Health Sciences, Medical Informatics, and Technology; Hall in Tirol Austria
| | - Jens Volkmann
- Department of Neurology; Julius-Maximilians-University; Würzburg Germany
| | - Günther Deuschl
- Department of Neurology; Christian-Albrechts-University; Kiel Germany
| | | | - Richard Dodel
- Department of Neurology; Philipps-University Marburg; Marburg Germany
| | - Jens-Peter Reese
- Department of Neurology; Philipps-University Marburg; Marburg Germany
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Noelker C, Stuckenholz V, Reese JP, Alvarez-Fischer D, Sankowski R, Rausch T, Oertel WH, Hartmann A, van Patten S, Al-Abed Y, Bacher M. CNI-1493 attenuates neuroinflammation and dopaminergic neurodegeneration in the acute MPTP mouse model of Parkinson's disease. NEURODEGENER DIS 2012; 12:103-10. [PMID: 23147695 DOI: 10.1159/000342714] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2012] [Accepted: 08/16/2012] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Parkinson's disease (PD) is associated with neurodegeneration of dopaminergic neurons in the substantia nigra. Neuroinflammatory processes have been shown to be a key component of this neurodegeneration and, as such, small molecule compounds which inhibit these inflammatory events are a critical research focus. OBJECTIVE CNI-1493 is an anti-inflammatory compound that strongly inhibits macrophages and also stimulates the cholinergic anti-inflammatory pathway. We have examined whether CNI-1493 has a neuroprotective effect in the acute 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) mouse model of PD. METHODS CNI-1493 (8 mg/kg i.p.) or placebo administration was started 1 day before MPTP intoxication and repeated daily until sacrifice after MPTP intoxication. C57/Bl6 mice - either treated with CNI-1493 or with placebo - were injected intraperitoneally 4 times at 2-hour intervals with either 20 mg/kg MPTP-HCl or a corresponding volume of saline. Two or 7 days after the end of the MPTP intoxication, the animals were killed and their brains were processed for further analysis. RESULTS Administration of CNI-1493 markedly protected tyrosine hydroxylase-positive substantia nigra neurons against MPTP neurotoxicity. CNI-1493 treatment in the MPTP model was also accompanied by a profound reduction of activated microglia within the substantia nigra, as measured by ionized calcium-binding adapter molecule-1 staining. CONCLUSIONS These findings support that CNI-1493 could reduce the MPTP-induced toxicity likely by inhibition of neuroinflammatory responses. The neuroprotective effect of CNI-1493 suggests that CNI-1493 might be a valuable neuroprotective candidate in the future treatment of PD.
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Affiliation(s)
- Carmen Noelker
- Department of Neurology, Philipps University Marburg, Marburg, Germany
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Reese JP, Winter Y, Rosa MM, Rodrigues E Silva AM, von Campenhausen S, Freire R, Mateus C, Balzer-Geldsetzer M, Botzel K, Oertel WH, Dodel R, Sampaio C. [Health-economic burden of Parkinson's disease in Portugal: a cohort study]. Rev Neurol 2011; 52:264-274. [PMID: 21341221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
INTRODUCTION Parkinson's disease (PD) is a common neurodegenerative disorder with a considerable socioeconomic burden. Health-economic evaluations of PD in the Southern European countries are limited. AIM To evaluate the costs of PD in an outpatient cohort in Portugal. PATIENTS AND METHODS 49 consecutive PD patients were recruited at the neurological outpatient clinic of the University of Lisbon between October 2004 and December 2005. Clinical status was evaluated using the Unified Parkinson's Disease Rating Scale and the Hoehn and Yahr stages. Costs were assessed from the societal perspective using health-economic questionnaires. Human capital approach was used to estimate indirect costs. Health-related quality of life was evaluated by means of the EQ-5D. RESULTS Direct costs were 2,717 euros (95% CI = 1,147-3,351) per patient for a six-month period. Main contributors to the direct costs included drugs (544 euros; 95% CI = 426-6,940) and hospitalizations (690 euros; 95% CI = 229-1,944). Indirect costs amounted to 850 euros (95% CI = 397-1,529), whereas patient expenditures constituted 12% of direct costs. Assistance by family and other relatives played a major role. In general, costs were lower than in other Western countries. CONCLUSIONS The economic burden of PD in Portugal is considerable. Important cost components include medications and hospitalizations. More research is needed in order to describe a comprehensive health service patterns in Portugal and to guide health policy decisions more effectively.
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Affiliation(s)
- J P Reese
- Department of Neurology, Philipps, University Marburg, Marburg, Alemania
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Winter Y, Schepelmann K, Spottke AE, Claus D, Grothe C, Schröder R, Heuss D, Vielhaber S, Tackenberg B, Mylius V, Reese JP, Kiefer R, Schrank B, Oertel WH, Dodel R. Health-related quality of life in ALS, myasthenia gravis and facioscapulohumeral muscular dystrophy. J Neurol 2010; 257:1473-81. [DOI: 10.1007/s00415-010-5549-9] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2009] [Revised: 02/21/2010] [Accepted: 03/19/2010] [Indexed: 10/19/2022]
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Dodel R, Happe S, Peglau I, Mayer G, Wasem J, Reese JP, Giani G, Geraedts M, Trenkwalder C, Oertel WH, Stiasny-Kolster K. Health economic burden of patients with restless legs syndrome in a German ambulatory setting. Pharmacoeconomics 2010; 28:381-393. [PMID: 20297866 DOI: 10.2165/11531030-000000000-00000] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
The primary characteristics of restless legs syndrome (RLS), including severe sleep disorders, restlessness in the evening and discomfort while at rest, have substantial impact on normal daily activities. Because of the high prevalence of RLS in the general population, it is necessary to evaluate the economic impact of RLS. To determine the health economic burden of patients with RLS in Germany. A total of 519 RLS patients (mean age: 65.2 +/- 11.1 years) in different stages of disease were recruited in five health centres (university hospitals, district hospitals and office-based neurologists) by applying the diagnostic criteria of the International Restless Legs Syndrome Study Group. A questionnaire was administered that assessed healthcare resource consumption as well as socioeconomic, demographic, clinical and health status. In addition, the International RLS severity scale (IRLS), Epworth Sleepiness Scale (ESS), EQ-5D and Beck Depression Inventory (BDI) were addressed in the assessment. Direct and indirect costs (euro, year 2006 values) were derived from various German economic resources and calculated from the perspective of the healthcare and transfer payment providers. We calculated average total costs over the 3-month observation period. It was determined that average total costs were euro2090 for this period. The average direct medical and non-medical costs from the perspective of the health insurance provider were determined to be euro780, with euro300 attributed to drug costs and euro354 to hospitalization costs. Average total indirect costs amounted to euro1308 and were calculated based on productivity loss, using the human capital approach. As cost-driving factors we identified disease severity according to the IRLS (p < 0.01) and ESS (p < 0.04). Health-related quality of life was determined to be substantially affected by RLS; the mean EQ-5D visual analogue scale (VAS) was 55.6, considerably lower than that of the age-matched general population. RLS places a notable financial burden on society as well as on patients and their families. More detailed studies are needed to evaluate the health economic impact of this disorder.
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Affiliation(s)
- Richard Dodel
- Department of Neurology, Philipps-University Marburg, Marburg, Germany.
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John A, Wienemann G, Reese JP, Wellek A, Hagen BV, Dodel R, Tackenberg B, Balzer-Geldsetzer M. Longitudinale Studie zu Lebensqualität und Versorgung bei Patienten mit Multipler Sklerose. Akt Neurol 2009. [DOI: 10.1055/s-0029-1238651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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