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Hartung TJ, Bahmer T, Chaplinskaya-Sobol I, Deckert J, Endres M, Franzpötter K, Geritz J, Haeusler KG, Hein G, Heuschmann PU, Hopff SM, Horn A, Keil T, Krawczak M, Krist L, Lieb W, Maetzler C, Montellano FA, Morbach C, Neumann C, Nürnberger C, Russ AK, Schmidbauer L, Schmidt S, Schreiber S, Steigerwald F, Störk S, Zoller T, Maetzler W, Finke C. Predictors of non-recovery from fatigue and cognitive deficits after COVID-19: a prospective, longitudinal, population-based study. EClinicalMedicine 2024; 69:102456. [PMID: 38333368 PMCID: PMC10847699 DOI: 10.1016/j.eclinm.2024.102456] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/13/2024] [Accepted: 01/15/2024] [Indexed: 02/10/2024] Open
Abstract
Background Despite the high prevalence and major disability associated with fatigue and cognitive deficits after SARS-CoV-2 infection, little is known about long-term trajectories of these sequelae. We aimed to assess long-term trajectories of these conditions and to identify risk factors for non-recovery. Methods We analyzed longitudinal data from the population-based COVIDOM/NAPKON-POP cohort in Germany. Participants with confirmed SARS-CoV-2 infection were assessed at least 6 months (baseline) and again at least 18 months (follow-up) after infection using the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue) Scale (cutoff ≤ 30) and the Montreal Cognitive Assessment (MoCA, cutoff ≤ 25). Predictors of recovery from fatigue or cognitive deficits between assessments were identified through univariate and multivariable logistic regression models. The COVIDOM study is registered at the German registry for clinical studies (DRKS00023742) and at ClinicalTrials.gov (NCT04679584). Findings Between 15 November 2020 and 9 May 2023, a total of 3038 participants were assessed at baseline (median 9 months after infection) and 83% responded to invitations for follow-up (median 26 months after infection). At baseline, 21% (95% confidence interval (CI) [20%, 23%]) had fatigue and 23% (95% CI [22%, 25%]) had cognitive deficits according to cutoff scores on the FACIT-Fatigue or MoCA. Participants with clinically relevant fatigue (at baseline) showed significant improvement in fatigue scores at follow-up (Hedges' g [95% CI] = 0.73 [0.60, 0.87]) and 46% (95% CI [41%, 50%]) had recovered from fatigue. Participants with cognitive deficits showed a significant improvement in cognitive scores (g [95% CI] = 1.12 [0.90, 1.33]) and 57% (95% CI [50%, 64%]) had recovered from cognitive deficits. Patients with fatigue exhibiting a higher depressive symptom burden and/or headache at baseline were significantly less likely to recover. Significant risk factors for cognitive non-recovery were male sex, older age and <12 years of school education. Importantly, SARS-CoV-2 reinfection had no significant impact on recovery from fatigue or cognitive deficits. Interpretation Fatigue and cognitive deficits are common sequelae after SARS-CoV-2 infection. These syndromes improved over time and about half of the patients recovered within two years. The identified risk factors for non-recovery from fatigue and cognitive deficits could play an important role in shaping targeted strategies for treatment and prevention. Funding Funded by the German Federal Ministry of Education and Research (BMBF; grant number 01KX2121) and German Research Foundation (DFG) Excellence Cluster "Position Medicine in Information".
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Affiliation(s)
- Tim J. Hartung
- Charité - Universitätsmedizin Berlin, Department of Neurology and Experimental Neurology, Berlin, Germany
| | - Thomas Bahmer
- Internal Medicine Department I, University Hospital Schleswig Holstein, Campus Kiel, Germany
- Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany
| | | | - Jürgen Deckert
- Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie, Uniklinik Würzburg, Germany
| | - Matthias Endres
- Charité - Universitätsmedizin Berlin, Department of Neurology and Experimental Neurology, Berlin, Germany
- Center for Stroke Research Berlin, Berlin, Germany
- ExcellenceCluster NeuroCure, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Partner Site Berlin, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Germany
| | | | - Johanna Geritz
- Neurology Department, University Medical Center Schleswig-Holstein, Campus Kiel, Germany
| | - Karl G. Haeusler
- Department of Neurology, Universitätsklinikum Würzburg, Würzburg, Germany
| | - Grit Hein
- Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie, Uniklinik Würzburg, Germany
| | - Peter U. Heuschmann
- Department of Neurology, Universitätsklinikum Würzburg, Würzburg, Germany
- University of Würzburg, Institute of Clinical Epidemiology and Biometry, Würzburg, Germany
- University Hospital Würzburg, Institute for Medical Data Science, Würzburg, Germany
- University Hospital Würzburg, Clinical Trial Center, Würzburg, 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, Germany
| | - Anna Horn
- University of Würzburg, Institute of Clinical Epidemiology and Biometry, Würzburg, Germany
- University Hospital Würzburg, Institute for Medical Data Science, Würzburg, Germany
| | - Thomas Keil
- Charité - Universitätsmedizin Berlin, Institute of Social Medicine, Epidemiology and Health Economics, Berlin, Germany
| | - Michael Krawczak
- Institute of Medical Informatics and Statistics, Kiel University, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany
| | - Lilian Krist
- Charité - Universitätsmedizin Berlin, Institute of Social Medicine, Epidemiology and Health Economics, Berlin, Germany
| | | | - Corina Maetzler
- Neurology Department, University Medical Center Schleswig-Holstein, Campus Kiel, Germany
| | - Felipe A. Montellano
- University of Würzburg, Institute of Clinical Epidemiology and Biometry, Würzburg, Germany
- University Hospital Würzburg, Department Clinical Research and Epidemiology, Comprehensive Heart Failure Center, Würzburg, Germany
- Germany University Hospital Würzburg, Department of Neurology, Würzburg, Germany
| | - Caroline Morbach
- University Hospital Würzburg, Department for Medicine I and Comprehensive Heart Failure Center, Germany
| | - Christian Neumann
- Neurology Department, University Medical Center Schleswig-Holstein, Campus Kiel, Germany
| | - Carolin Nürnberger
- University of Würzburg, Institute of Clinical Epidemiology and Biometry, Würzburg, Germany
- University Hospital Würzburg, Institute for Medical Data Science, Würzburg, Germany
| | - Anne-Kathrin Russ
- Institute of Medical Informatics and Statistics, Kiel University, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany
| | - Lena Schmidbauer
- University of Würzburg, Institute of Clinical Epidemiology and Biometry, Würzburg, Germany
- University Hospital Würzburg, Institute for Medical Data Science, Würzburg, Germany
| | - Sein Schmidt
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Clinical Study Center, Germany
| | - Stefan Schreiber
- Internal Medicine Department I, University Hospital Schleswig Holstein, Campus Kiel, Germany
| | - Flo Steigerwald
- Charité - Universitätsmedizin Berlin, Department of Neurology and Experimental Neurology, Berlin, Germany
| | - Stefan Störk
- University Hospital Würzburg, Department Clinical Research and Epidemiology, Comprehensive Heart Failure Center, Würzburg, Germany
- Department of Internal Medicine I, University Hospital Würzburg, Germany
| | - Thomas Zoller
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory and Critical Care Medicine, Berlin, Germany
| | - Walter Maetzler
- Neurology Department, University Medical Center Schleswig-Holstein, Campus Kiel, Germany
| | - Carsten Finke
- Charité - Universitätsmedizin Berlin, Department of Neurology and Experimental Neurology, Berlin, Germany
| | - NAPKON Study Group
- Charité - Universitätsmedizin Berlin, Department of Neurology and Experimental Neurology, Berlin, Germany
- Internal Medicine Department I, University Hospital Schleswig Holstein, Campus Kiel, Germany
- Airway Research Center North (ARCN), German Center for Lung Research (DZL), Grosshansdorf, Germany
- Department of Medical Informatics, University Medical Center Göttingen, Germany
- Klinik und Poliklinik für Psychiatrie, Psychosomatik und Psychotherapie, Uniklinik Würzburg, Germany
- Center for Stroke Research Berlin, Berlin, Germany
- ExcellenceCluster NeuroCure, Berlin, Germany
- German Center for Neurodegenerative Diseases (DZNE), Partner Site Berlin, Germany
- German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Germany
- Institute of Epidemiology, Kiel University, Germany
- Neurology Department, University Medical Center Schleswig-Holstein, Campus Kiel, Germany
- Department of Neurology, Universitätsklinikum Würzburg, Würzburg, Germany
- University of Würzburg, Institute of Clinical Epidemiology and Biometry, Würzburg, Germany
- University Hospital Würzburg, Institute for Medical Data Science, Würzburg, Germany
- University Hospital Würzburg, Clinical Trial Center, Würzburg, Germany
- University of Cologne, Faculty of Medicine and University Hospital Cologne, Department I of Internal Medicine, Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf, Germany
- Charité - Universitätsmedizin Berlin, Institute of Social Medicine, Epidemiology and Health Economics, Berlin, Germany
- Institute of Medical Informatics and Statistics, Kiel University, University Medical Center Schleswig-Holstein Campus Kiel, Kiel, Germany
- University Hospital Würzburg, Department Clinical Research and Epidemiology, Comprehensive Heart Failure Center, Würzburg, Germany
- Germany University Hospital Würzburg, Department of Neurology, Würzburg, Germany
- University Hospital Würzburg, Department for Medicine I and Comprehensive Heart Failure Center, Germany
- Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Clinical Study Center, Germany
- Department of Internal Medicine I, University Hospital Würzburg, Germany
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory and Critical Care Medicine, Berlin, Germany
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2
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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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3
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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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4
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Schmidbauer L, Kirchberger I, Goßlau Y, Warm TD, Hyhlik-Dürr A, Linseisen J, Meisinger C. The association between the number of symptoms and the severity of Post-COVID-Fatigue after SARS-CoV-2 infection treated in an outpatient setting. J Neurol 2023:10.1007/s00415-023-11752-9. [PMID: 37219607 DOI: 10.1007/s00415-023-11752-9] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 04/28/2023] [Accepted: 04/29/2023] [Indexed: 05/24/2023]
Abstract
BACKGROUND Post-COVID-Fatigue (PCF) is one of the most reported symptoms following SARS-CoV-2 infection. Currently, research on persistent symptoms focuses mainly on severe infections, while outpatients are rarely included in observations. OBJECTIVE To investigate whether the severity of PCF is related to the number of acute and persistent symptoms due to mild-to-moderate COVID-19 and to compare the most common symptoms during acute infection with the persistent symptoms in PCF patients. METHODS A total of 425 participants were examined after COVID-19 treated as an outpatient (median 249 days [IQR: 135; 322] after acute disease) at the site of University Hospital Augsburg, Germany. The Fatigue Assessment Scale (FAS) was used to quantify the severity of PCF. The number of symptoms (maximum 41) during acute infection and persistent symptoms (during the last 14 days before examination) were added up to sum scores. Multivariable linear regression models were used to show the association between the number of symptoms and PCF. RESULTS Of the 425 participants, 37% (n = 157) developed PCF; most were women (70%). The median number of symptoms was significantly higher in the PCF group than in the non-PCF group at both time points. In multivariable linear regression models, both sum scores were associated with PCF (acute symptoms: β-estimate per additional symptom [95%-CI]: 0.48 [0.39; 0.57], p < 0.0001); persistent symptoms: β-estimate per additional symptom [95%-CI]: 1.18 [1.02; 1.34], p < 0.0001). The acute symptoms strongest associated with PCF severity were difficulty concentrating, memory problems, dyspnea or shortness of breath on exertion, palpitations, and problems with movement coordination. CONCLUSION Each additional symptom that occurs in COVID-19 increases the likelihood of suffering a higher severity of PCF. Further research is needed to identify the aetiology of PCF. TRIAL REGISTRATION Nr. NCT04615026. Date of registration: November 4, 2020.
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Affiliation(s)
- Lena Schmidbauer
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Ludwig-Maximilians-Universität München, Marchioninistraße 15, 81377, Munich, Germany.
- Pettenkofer School of Public Health, Munich, Germany.
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany.
| | - Inge Kirchberger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Yvonne Goßlau
- Vascular Surgery, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Tobias D Warm
- Vascular Surgery, Medical Faculty, University of Augsburg, Augsburg, Germany
| | | | - Jakob Linseisen
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
| | - Christa Meisinger
- Epidemiology, Medical Faculty, University of Augsburg, Augsburg, Germany
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Warmbein A, Rathgeber I, Seif J, Mehler-Klamt AC, Schmidbauer L, Scharf C, Hübner L, Schroeder I, Biebl J, Gutmann M, Eberl I, Zoller M, Fischer U. Barriers and facilitators in the implementation of mobilization robots in hospitals from the perspective of clinical experts and developers. BMC Nurs 2023; 22:45. [PMID: 36797701 PMCID: PMC9936640 DOI: 10.1186/s12912-023-01202-2] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Accepted: 02/07/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND Early mobilization can help reduce severe side effects such as muscle atrophy that occur during hospitalization. However, due to time and staff shortages in intensive and critical care as well as safety risks for patients, it is often difficult to adhere to the recommended therapy time of twenty minutes twice a day. New robotic technologies might be one approach to achieve early mobilization effectively for patients and also relieve users from physical effort. Nevertheless, currently there is a lack of knowledge regarding the factors that are important for integrating of these technologies into complex treatment settings like intensive care units or rehabilitation units. METHODS European experts from science, technical development and end-users of robotic systems (n = 13) were interviewed using a semi-structured interview guideline to identify barriers and facilitating factors for the integration of robotic systems into daily clinical practice. They were asked about structural, personnel and environmental factors that had an impact on integration and how they had solved challenges. A latent content analysis was performed regarding the COREQ criteria. RESULTS We found relevant factors regarding the development, introduction, and routine of the robotic system. In this context, costs, process adjustments, a lack of exemptions, and a lack of support from the manufacturers/developers were identified as challenges. Easy handling, joint decision making between the end-users and the decision makers in the hospital, an accurate process design and the joint development of the robotic system of end-users and technical experts were found to be facilitating factors. CONCLUSION The integration and preparation for the integration of robotic assistance systems into the inpatient setting is a complex intervention that involves many parties. This study provides evidence for hospitals or manufacturers to simplify the planning of integrations for permanent use. TRIAL REGISTRATION DRKS-ID: DRKS00023848; registered 10/12/2020.
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Affiliation(s)
- Angelika Warmbein
- Clinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
| | - Ivanka Rathgeber
- grid.411095.80000 0004 0477 2585Clinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Janesca Seif
- grid.411095.80000 0004 0477 2585Clinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Amrei C. Mehler-Klamt
- grid.440923.80000 0001 1245 5350Professorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany
| | - Lena Schmidbauer
- grid.440923.80000 0001 1245 5350Professorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany
| | - Christina Scharf
- grid.411095.80000 0004 0477 2585Department of Anesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Lucas Hübner
- grid.411095.80000 0004 0477 2585Department of Anesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Ines Schroeder
- grid.411095.80000 0004 0477 2585Department of Anesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Johanna Biebl
- grid.5252.00000 0004 1936 973XDepartment of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital LMU Munich, Munich, Germany
| | - Marcus Gutmann
- grid.5252.00000 0004 1936 973XDepartment of Orthopedics and Trauma Surgery, Musculoskeletal University Center Munich (MUM), University Hospital LMU Munich, Munich, Germany
| | - Inge Eberl
- grid.440923.80000 0001 1245 5350Professorship of Nursing Science, Faculty of Social Work, Catholic University of Eichstätt-Ingolstadt, Eichstätt, Germany
| | - Michael Zoller
- grid.411095.80000 0004 0477 2585Department of Anesthesiology, University Hospital LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Uli Fischer
- grid.411095.80000 0004 0477 2585Clinical Nursing Research and Quality Management Unit, University Hospital LMU Munich, Marchioninistr. 15, 81377 Munich, Germany
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Mehler-Klamt AC, Huber J, Schmidbauer L, Warmbein A, Rathgeber I, Fischer U, Eberl I. Der Einsatz von robotischen und technischen Systemen zur Frühmobilisation von Intensivpatient_innen. Pflege 2022; 36:156-167. [DOI: 10.1024/1012-5302/a000891] [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: 11/19/2022]
Abstract
Zusammenfassung. Hintergrund: Intensivpatient_innen sind oft einer langen Immobilität ausgesetzt. Wenn sie aber frühzeitig mobilisiert werden, lassen sich positive Effekte auf ihr Outcome, wie z.B. eine Verbesserung der körperlichen Funktion, nachweisen. Einer der Gründe für die späte Mobilisation ist, dass zu wenig Hilfsmittel zur Verfügung stehen. Fragestellungen/Ziel: Dieser Beitrag gibt einen Überblick über den Einsatz von robotischen oder technischen Systemen als Hilfsmittel für die Frühmobilisation. Welche robotischen und technischen Hilfsmittel werden in Studien zur Frühmobilisation von erwachsenen Intensivpatient_innen durch Pflegefachpersonen oder Physiotherapeut_innen untersucht? Über welche Effekte von Frühmobilisation mittels robotischem und technischem System auf die Patientenoutcomes wird in den Studien berichtet? Methoden: Die Datenbanken Medline, Web of Science, CINAHL, Cochrane Library, Embase, IEEE Xplore, Scopus und WTI wurden zwischen Mai und Juli 2020 und im Januar 2022 systematisch durchsucht. Zusätzlich wurde im ersten Suchlauf eine Randsuche über GoogleScolar und ResearchGate durchgeführt. Ergebnisse: Es wurden 27 Veröffentlichungen eingeschlossen (9 RCTs, 7 Expertenmeinungen, 3 quantitative Querschnittstudien, 2 Fall-Kontroll-Studien, 2 Literaturreviews, 2 klinische Einzelfallstudien, 2 Interventionsstudien im Prä-Post-Design). Hier zeigte sich, dass als Hilfsmittel vor allem elektronische Bettfahrräder und Kipptische eingesetzt werden. Es war eine uneinheitliche Datenlage in Bezug auf verschiedene Patientenoutcomes nachweisbar. Schlussfolgerungen: Weitere Forschung zum Einsatz von technischen und robotischen Systemen zur Frühmobilisation ist vor allem in Bezug auf unterschiedliche Studienpopulationen notwendig. Frühmobilisationsrobotik ist noch nicht Teil der Regelversorgung.
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Affiliation(s)
| | - Jana Huber
- Katholische Universität Eichstätt-Ingolstadt, Eichstätt, Deutschland
| | - Lena Schmidbauer
- Katholische Universität Eichstätt-Ingolstadt, Eichstätt, Deutschland
| | | | | | | | - Inge Eberl
- Katholische Universität Eichstätt-Ingolstadt, Eichstätt, Deutschland
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Klamt AC, Schmidbauer L, Warmbein A, Rathgeber I, Fischer U, Eberl I. Very Early Robot-Assisted Mobilization of Intensive Care Patients - A Scoping Review. Stud Health Technol Inform 2021; 281:1073-1074. [PMID: 34042843 DOI: 10.3233/shti210350] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This scoping review gives an overview of current research activities in the field of very early mobilization with robotic devices of intensive care patients. It presents the effect of very early, robot-assisted mobilization on intensive care patients based on their outcomes.
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Affiliation(s)
- Amrei C Klamt
- Catholic University of Eichstätt-Ingolstadt, Kapuzinergasse 2, 85072 Eichstätt, Germany
| | - Lena Schmidbauer
- Catholic University of Eichstätt-Ingolstadt, Kapuzinergasse 2, 85072 Eichstätt, Germany
| | - Angelika Warmbein
- Hospital of the Ludwig-Maximilians-University (LMU) Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Ivanka Rathgeber
- Hospital of the Ludwig-Maximilians-University (LMU) Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Uli Fischer
- Hospital of the Ludwig-Maximilians-University (LMU) Munich, Marchioninistr. 15, 81377 Munich, Germany
| | - Inge Eberl
- Catholic University of Eichstätt-Ingolstadt, Kapuzinergasse 2, 85072 Eichstätt, Germany
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