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Mavromanoli AC, Barco S, Ageno W, Bouvaist H, Brodmann M, Cuccia C, Couturaud F, Dellas C, Dimopoulos K, Duerschmied D, Empen K, Faggiano P, Ferrari E, Galiè N, Galvani M, Ghuysen A, Giannakoulas G, Huisman MV, Jiménez D, Kozak M, Lang IM, Meneveau N, Münzel T, Palazzini M, Petris AO, Piovaccari G, Salvi A, Schellong S, Schmidt KH, Verschuren F, Schmidtmann I, Toenges G, Klok FA, Konstantinides SV. Recovery of right ventricular function after intermediate-risk pulmonary embolism: results from the multicentre Pulmonary Embolism International Trial (PEITHO)-2. Clin Res Cardiol 2023; 112:1372-1381. [PMID: 36539534 PMCID: PMC10562278 DOI: 10.1007/s00392-022-02138-4] [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] [Received: 09/18/2022] [Accepted: 12/01/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Right ventricular (RV) function plays a critical role in the pathophysiology and acute prognosis of pulmonary embolism (PE). We analyzed the temporal changes of RV function in the cohort of a prospective multicentre study investigating if an early switch to oral anticoagulation in patients with intermediate-risk PE is effective and safe. METHODS Echocardiographic and laboratory examinations were performed at baseline (PE diagnosis), 6 days and 6 months. Echocardiographic parameters were classified into categories representing RV size, RV free wall/tricuspid annulus motion, RV pressure overload and right atrial (RA)/central venous pressure. RESULTS RV dysfunction based on any abnormal echocardiographic parameter was present in 84% of patients at baseline. RV dilatation was the most frequently abnormal finding (40.6%), followed by increased RA/central venous pressure (34.6%), RV pressure overload (32.1%), and reduced RV free wall/tricuspid annulus motion (20.9%). As early as day 6, RV size remained normal or improved in 260 patients (64.7%), RV free wall/tricuspid annulus motion in 301 (74.9%), RV pressure overload in 297 (73.9%), and RA/central venous pressure in 254 (63.2%). At day 180, the frequencies slightly increased. The median NT-proBNP level decreased from 1448 pg/ml at baseline to 256.5 on day 6 and 127 on day 180. CONCLUSION In the majority of patients with acute intermediate-risk PE switched early to a direct oral anticoagulant, echocardiographic parameters of RV function normalised within 6 days and remained normal throughout the first 6 months. Almost one in four patients, however, continued to have evidence of RV dysfunction over the long term.
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Affiliation(s)
- Anna C Mavromanoli
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Stefano Barco
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University, Langenbeckstr. 1, 55131, Mainz, Germany
- Department of Angiology, University Hospital Zurich, Zurich, Switzerland
| | - Walter Ageno
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Hélène Bouvaist
- Department of Cardiology, Pôle Thorax et Vaisseaux, CHU Grenoble Alpes, La Tronche, France
| | | | - Claudio Cuccia
- Cardiovascular Department, Fondazione Poliambulanza, Istituto Ospedaliero, Brescia, Italy
| | - Francis Couturaud
- Département de Médecine Interne et Pneumologie, Centre Hospitalo-Universitaire de Brest, Brest, France
- INSERM U1304-GETBO, FCRIN INNOVTE, Brest University, Brest, France
| | - Claudia Dellas
- Clinic of Paediatric Cardiology and Intensive Care, ACHD Center, University Medical Center Goettingen, Goettingen, Germany
| | - Konstantinos Dimopoulos
- Royal Brompton Hospital, London, UK
- National Heart and Lung Institute, Imperial College, London, UK
| | - Daniel Duerschmied
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Klaus Empen
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | | | - Emile Ferrari
- Service de Cardiologie, Hôpital Pasteur, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Nazzareno Galiè
- Cardiology Unit, IRCCS Azienda Ospedaliero and Dipartimento DIMES-Università di Bologna, Bologna, Italy
| | - Marcello Galvani
- Division of Cardiology, Department of Cardiovascular Diseases - AUSL Romagna, Ospedale Morgagni-Pierantoni, Forli, Italy
- Cardiovascular Research Unit, Fondazione Cardiologica Myriam Zito Sacco, Forli, Italy
| | | | - George Giannakoulas
- Cardiology Department, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Menno V Huisman
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands
| | - David Jiménez
- Department of Respiratory Diseases, Ramon y Cajal Hospital, Universidad de Alcalá (IRYCIS), CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Matija Kozak
- Department of Vascular Diseases, University Medical Center, Ljubljana, Slovenia
| | - Irene M Lang
- Department of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Nicolas Meneveau
- Department of Cardiology, University Hospital Jean Minjoz, Besançon, France
- EA3920, University of Burgundy Franche-Comté, Besançon, France
| | - Thomas Münzel
- Department of Cardiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Massimiliano Palazzini
- Cardiology Unit, IRCCS Azienda Ospedaliero and Dipartimento DIMES-Università di Bologna, Bologna, Italy
| | - Antoniu Octavian Petris
- Cardiology Clinic, "St. Spiridon" County Clinical Emergency Hospital, Grigore T. Popa University of Medicine and Pharmacy Iasi, Iasi, Romania
| | - Giancarlo Piovaccari
- Department of Cardiovascular Diseases, Infermi Hospital, AUSL Romagna, Rimini, Italy
| | - Aldo Salvi
- Internal and Subintensive Medicine Department, Azienda Ospedaliero-Universitaria "Ospedali Riuniti" di Ancona, Ancona, Italy
| | - Sebastian Schellong
- Department of Internal Medicine 2, Municipal Hospital Dresden, Dresden, Germany
| | - Kai-Helge Schmidt
- Department of Cardiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Franck Verschuren
- Emergency Department, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Irene Schmidtmann
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Frederikus A Klok
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University, Langenbeckstr. 1, 55131, Mainz, Germany
- Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands
| | - Stavros V Konstantinides
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University, Langenbeckstr. 1, 55131, Mainz, Germany.
- Department of Cardiology, Democritus University of Thrace, Alexandroupolis, Greece.
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Schmitt V, Billaudelle AM, Schulz A, Keller K, Hahad O, Troebs SO, Koeck T, Michal M, Schuster AK, Toenges G, Lackner KJ, Prochaska JH, Munzel T, Wild PS. Impact of prediabetes and type 2 diabetes mellitus on cardiac function in the general population. Eur Heart J 2022. [DOI: 10.1093/eurheartj/ehac544.1060] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Introduction
Prediabetes and type 2 diabetes mellitus (T2DM) are risk factors for heart failure (HF). The association of prediabetes and T2DM to different forms of functional left ventricular impairment and their impact on clinical outcome in the general population needs to be further investigated. In this context, little is known about the prevalences of prediabetes and different HF subtypes in the general population, especially in Europe.
Purpose
To investigate the prevalence and clinical impact of prediabetes and type 2 diabetes mellitus (T2DM) on functional cardiac disorder (FCD).
Methods
The participants of the Gutenberg Health Study sample (15,010 subjects, 35–74 years) were stratified in individuals with euglycaemia, prediabetes and T2DM based on clinical information and HbA1c level. FCD included asymptomatic systolic and diastolic dysfunction, symptomatic systolic and diastolic heart failure, asymptomatic diastolic dysfunction and preserved left ventricular ejection fraction (EF), asymptomatic diastolic dysfunction and reduced EF, asymptomatic preserved diastole and reduced EF, symptomatic heart failure with preserved EF (HFpEF) and symptomatic heart failure with reduced EF HFrEF). Using structured follow-up clinical outcome was assessed.
Results
Overall, 14,870 individuals were included in the present analysis. Among them, 9,426 individuals were categorized in the euglycaemia group, 4,128 participants had prediabetes and in 1,316 individuals T2DM was present. Prevalence of FCD increased from euglycaemia (19.6%) over prediabetes (33.3%) to T2DM (46.8%, p<0.0001). Prevalence of symptomatic HF was increased in patients with T2DM (euglycaemia 2.8%, prediabetes 5.9%, T2DM 11.9%). T2DM was associated with reduced EF (β −0.63, 95% CI −0.99 to −0.26, P=0.00088) and elevated E/E' (β 0.08, 95% CI 0.06 to 0.10, P<0.0001), whereas prediabetes was associated to elevated E/E' (β 0.02, 95% CI 0.01 to 0.03, P=0.0029). Prediabetes and T2DM revealed increased prevalences of FCD (13%, 18%), asymptomatic diastolic dysfunction with preserved EF (prediabetes: 14%, T2DM: 11%), symptomatic heart failure (prediabetes: 46%, T2DM: 70%) and HFpEF (prediabetes: 49%, T2DM: 82%). With prediabetes and T2DM all-cause mortality was elevated in presence and absence of FCD, only T2DM was also a risk factor for cardiovascular mortality with and without FCD. Within a 5-years follow-up, T2DM was an independent risk factor for the development of FCD, asymptomatic diastolic dysfunction with reduced ejection fraction, symptomatic heart failure and HFrEF. Prediabetes was not an independent risk factor for FCD.
Conclusions
In the general population, a high prevalence of asymptomatic FCD is present. Coexisting FCD and prediabetes as well as T2DM result in increased mortality elucidating the need for early detection and prevention of DM development, especially with regard to numerous asymptomatic people concerned. T2DM, but not prediabetes, is a risk factor for incident FCD.
Funding Acknowledgement
Type of funding sources: Private company. Main funding source(s): The Gutenberg Health Study is supported by the government of Rheinland-Pfalz (`Stiftung Rheinland-Pfalz für Innovation'), the research programmes `Wissen schafft Zukunft' and the Centre forTranslational Vascular Biology (CTVB) of the Johannes Gutenberg-University of Mainz, Germany, and its contract with Boehringer Ingelheim and Philips Medical Systems including an unrestricted grant forthe Gutenberg Health Study. P.S.W. and J.H.P. are funded by the Federal Ministry of Education and Research (BMBF 01EO1503). P.S.W. and T.M. are principal investigators of the German Center for Cardiovascular Research (DZHK). P.S.W. is principal investigator of the DIASyM research core (BMBF 161L0217A).
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Affiliation(s)
- V Schmitt
- Department of Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz , Mainz , Germany
| | - A M Billaudelle
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center , Mainz , Germany
| | - A Schulz
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center , Mainz , Germany
| | - K Keller
- Department of Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz , Mainz , Germany
| | - O Hahad
- Department of Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz , Mainz , Germany
| | - S O Troebs
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center , Mainz , Germany
| | - T Koeck
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center , Mainz , Germany
| | - M Michal
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center , Mainz , Germany
| | - A K Schuster
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg-University Mainz , Mainz , Germany
| | - G Toenges
- Institute for Medical Biometrics, Epidemiology and Informatics (IMBEI), University Medical Center , Mainz , Germany
| | - K J Lackner
- Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center , Mainz , Germany
| | - J H Prochaska
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center , Mainz , Germany
| | - T Munzel
- Department of Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz , Mainz , Germany
| | - P S Wild
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center , Mainz , Germany
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Labenz C, Toenges G, Zheng MH, Ding D, Myers RP, Galle PR, Armandi A, Ampuero J, Gómez MR, Bugianesi E, Anstee QM, Schattenberg JM. Derivation and validation of the nonalcoholic fatty liver disease cirrhosis score (NCS) to distinguish bridging fibrosis from cirrhosis. Eur J Intern Med 2022; 98:53-60. [PMID: 35058147 DOI: 10.1016/j.ejim.2021.12.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 10/22/2021] [Revised: 12/04/2021] [Accepted: 12/08/2021] [Indexed: 12/20/2022]
Abstract
Separation of bridging fibrosis from cirrhosis in non-alcoholic fatty liver disease (NAFLD) is critical to guide management. Therefore, it was the aim of this study to develop an easy-to-perform score distinguishing F3 and F4 fibrosis in NAFLD. A derivation cohort comprising 251 NAFLD patients with F3 or F4 was used to develop the NAFLD Cirrhosis Score (NCS). The NCS was validated in three independent cohorts with liver histology comprising 1666 participants from the STELLAR trials, 47 patients from China and 2058 patients from the European NAFLD Registry. A model including INR, gGT, ALT, platelets and age discriminated best between patients with bridging fibrosis and cirrhosis with an area under the curve (AUC) of 0.733 (95%CI 0.671-0.795). The diagnostic performance of the NCS was similar in the STELLAR studies (AUC 0.700; 95%CI 0.680-0.730) and a smaller cohort from China (AUC 0.727; 95%CI 0.533-0.921). In the European NAFLD Registry, spanning all histological fibrosis stages, the NCS exhibited an AUC of 0.798 (95%CI 0.766-0.830) to detect cirrhosis. We derived two NCS cut-off values (<64.5 and >79.17) to classify patients at low, intermediate, or high risk for the presence of cirrhosis. Using these cut-offs, further diagnostic workup could be avoided by ruling in or ruling out cirrhosis in approximately half of the patients. Furthermore, NCS identified patients at risk for progression to cirrhosis in the F3 cohort and liver-related outcomes in the F4 cohort. CONCLUSION: The NCS is a simple tool to improve the identification of compensated cirrhosis within the large group of advanced disease stage and provides prognostic information. Overall, the differentiation of F3 from F4 disease using standard laboratory remains difficult and does not exceed moderate accuracy.
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Affiliation(s)
- Christian Labenz
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Metabolic Liver Research Program, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
| | - Ming-Hua Zheng
- NAFLD Research Center, Department of Hepatology, the First Affiliated Hospital of Wenzhou Medical University, China.
| | - Dora Ding
- Gilead Sciences, Inc., Foster City, CA, USA.
| | | | - Peter R Galle
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
| | - Angelo Armandi
- Department of Medical Sciences, Division of Gastroenterology, AOU Citta della Salute e della Scienza, University of Torino, Italy.
| | - Javier Ampuero
- Digestive Disease Department, Virgen del Rocio University Hospital, Sevilla, Spain.
| | - Manuel Romero Gómez
- Digestive Disease Department, Virgen del Rocio University Hospital, Sevilla, Spain.
| | - Elisabetta Bugianesi
- Department of Medical Sciences, Division of Gastroenterology, AOU Citta della Salute e della Scienza, University of Torino, Italy.
| | - Quentin M Anstee
- Translational & Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom; Newcastle NIHR Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, United Kingdom.
| | - Jörn M Schattenberg
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Metabolic Liver Research Program, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
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Klok FA, Toenges G, Barco S, Konstantinides SV. Efficacy and safety of early switch to oral anticoagulation in acute intermediate-risk pulmonary embolism. Eur Heart J 2021. [DOI: 10.1093/eurheartj/ehab724.1923] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Guidelines recommend risk-adjusted management of pulmonary embolism (PE). We investigated whether treatment of acute intermediate-risk PE with parenteral anticoagulation for a short period of 72 hours, followed by switch to a direct oral anticoagulant (dabigatran), is effective and safe.
Methods
We conducted a prospective multicentre single-arm management trial in patients with intermediate-risk PE (EudraCT Identifier 2015–001830–12). Patients received parenteral heparin, switched to dabigatran 72 hours after diagnosis following standardised clinical assessment. The study was terminated early following sample size adaptation after the predefined interim analysis.
Findings
From January 2016 through July 2019, 402 patients were enrolled in 9 European countries. Adherence to protocol was 92.0% (Table 1). The primary outcome, recurrent symptomatic venous thromboembolism or PE-related death within 6 months (Table 2), occurred in 7 patients (1.7%; upper bound of right-sided 95% CI 3.2%; p=0.ehab724.192322 for rejecting H0), with all events in the intermediate-high-risk group (2.5%; upper bound of right-sided 95% CI 4.6%). Median duration of hospitalisation for the index event was 6 days, despite the fact that >70% of the patients had intermediate-high-risk PE. The six-month incidence of major bleeding was 2.7%; the only fatal haemorrhage occurred before switch to dabigatran.
Interpretation
A strategy of early switch from heparin to dabigatran following standardised clinical assessment was effective and safe in intermediate-risk PE. Our results can help to fine-tune guideline recommendations for initial treatment of PE, optimising the use of resources and avoiding prolonged hospitalisation.
Funding Acknowledgement
Type of funding sources: Public grant(s) – National budget only. Main funding source(s): German Federal Ministry of Education and Research; and Boehringer Ingelheim Table 1. Time between diagnosis of pulmonary embolism and switch to dabigatran (N = 402 patients)Table 2. Efficacy and safety outcomes
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Affiliation(s)
- F A Klok
- Center for Thrombosis and Hemostasis, Mainz, Germany
| | - G Toenges
- Center for Thrombosis and Hemostasis, Mainz, Germany
| | - S Barco
- Center for Thrombosis and Hemostasis, Mainz, Germany
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Schmitt VH, Billaudelle AM, Schulz A, Keller K, Hahad O, Tröbs SO, Koeck T, Michal M, Schuster AK, Toenges G, Lackner KJ, Prochaska JH, Münzel T, Wild PS. Disturbed Glucose Metabolism and Left Ventricular Geometry in the General Population. J Clin Med 2021; 10:jcm10173851. [PMID: 34501302 PMCID: PMC8432105 DOI: 10.3390/jcm10173851] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 08/17/2021] [Accepted: 08/20/2021] [Indexed: 12/17/2022] Open
Abstract
Background: This study sought to investigate the prevalence and clinical outcome of left ventricular (LV) geometry in prediabetes and type 2 diabetes mellitus (T2DM) and the impact of glucose metabolism on the incidence of left ventricular hypertrophy (LVH). Methods: 15,010 subjects (35–74 years) of the population-based Gutenberg Health Study were categorized into euglycemia, prediabetes, and T2DM according to clinical and metabolic (HbA1c) information. Clinical outcome was assessed via structured follow-up. Results: The study comprised 12,121 individuals with euglycemia (81.6%), 1415 with prediabetes (9.5%), and 1316 with T2DM (8.9%). Prevalence of LVH increased from euglycemia (10.2%) over prediabetes (17.8%) to T2DM (23.8%). Prediabetes and T2DM were associated with increased LV mass index (prediabetes: β1.3 (95% CI 0.78–1.81), p < 0.0001; T2DM: β2.37 (95% CI 1.81; 2.92), p < 0.0001) independent of age, sex, and cardiovascular risk factors (CVRF). The frequency of LVH was related to the presence of T2DM (prevalence ratio (PR)T2DM 1.2 (95% CI 1.06–1.35), p = 0.0038). T2DM was related to mortality independent of age, sex, and CVRF regardless of LVH (hazard ratio (HR)T2DM-LVH 2.67 (95% CI 1.94–3.66), p < 0.0001; HRT2DM-noLVH 1.59 (95% CI 1.29–1.96), p < 0.0001), prediabetes was only associated with outcome in individuals with LVH independent of age and sex (HRprediabetes-LVH 1.51 (95% CI 1.01–2.25), p = 0.045). Neither T2DM nor prediabetes were predictors of incident LVH after adjustment for clinical covariates. Conclusions: Prediabetes and T2DM promote alterations of cardiac geometry. T2DM and particularly the coprevalence of T2DM with LVH substantially reduce life expectancy. These findings highlight the need for new therapeutic and screening approaches to prevent and detect cardiometabolic diseases at an early stage.
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Affiliation(s)
- Volker H. Schmitt
- Department of Cardiology, Cardiology I, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (V.H.S.); (K.K.); (O.H.); (S.-O.T.)
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany; (T.K.); (M.M.); (K.J.L.); (J.H.P.); (P.S.W.)
| | - Anna-Maria Billaudelle
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (A.-M.B.); (A.S.)
| | - Andreas Schulz
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (A.-M.B.); (A.S.)
- Center for Thrombosis and Hemostasis (CTH), University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Karsten Keller
- Department of Cardiology, Cardiology I, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (V.H.S.); (K.K.); (O.H.); (S.-O.T.)
- Center for Thrombosis and Hemostasis (CTH), University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany
- Medical Clinic VII, Department of Sports Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Omar Hahad
- Department of Cardiology, Cardiology I, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (V.H.S.); (K.K.); (O.H.); (S.-O.T.)
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany; (T.K.); (M.M.); (K.J.L.); (J.H.P.); (P.S.W.)
| | - Sven-Oliver Tröbs
- Department of Cardiology, Cardiology I, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (V.H.S.); (K.K.); (O.H.); (S.-O.T.)
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany; (T.K.); (M.M.); (K.J.L.); (J.H.P.); (P.S.W.)
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (A.-M.B.); (A.S.)
| | - Thomas Koeck
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany; (T.K.); (M.M.); (K.J.L.); (J.H.P.); (P.S.W.)
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (A.-M.B.); (A.S.)
| | - Matthias Michal
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany; (T.K.); (M.M.); (K.J.L.); (J.H.P.); (P.S.W.)
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Alexander K. Schuster
- Department of Ophthalmology, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany;
| | - Gerrit Toenges
- Institute for Medical Biometrics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany;
| | - Karl J. Lackner
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany; (T.K.); (M.M.); (K.J.L.); (J.H.P.); (P.S.W.)
- Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Jürgen H. Prochaska
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany; (T.K.); (M.M.); (K.J.L.); (J.H.P.); (P.S.W.)
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (A.-M.B.); (A.S.)
- Center for Thrombosis and Hemostasis (CTH), University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Thomas Münzel
- Department of Cardiology, Cardiology I, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (V.H.S.); (K.K.); (O.H.); (S.-O.T.)
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany; (T.K.); (M.M.); (K.J.L.); (J.H.P.); (P.S.W.)
- Center for Thrombosis and Hemostasis (CTH), University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany
- Correspondence: ; Tel.: +49-6131-17-7250; Fax: +49-6131-18-6615
| | - Philipp S. Wild
- German Center for Cardiovascular Research (DZHK), Partner Site Rhine-Main, 55131 Mainz, Germany; (T.K.); (M.M.); (K.J.L.); (J.H.P.); (P.S.W.)
- Preventive Cardiology and Preventive Medicine, Department of Cardiology, University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany; (A.-M.B.); (A.S.)
- Center for Thrombosis and Hemostasis (CTH), University Medical Center, Johannes Gutenberg University Mainz, 55131 Mainz, Germany
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Klok FA, Toenges G, Mavromanoli AC, Barco S, Ageno W, Bouvaist H, Brodmann M, Cuccia C, Couturaud F, Dellas C, Dimopoulos K, Duerschmied D, Empen K, Faggiano P, Ferrari E, Galiè N, Galvani M, Ghuysen A, Giannakoulas G, Huisman MV, Jiménez D, Kozak M, Lang IM, Lankeit M, Meneveau N, Münzel T, Palazzini M, Petris AO, Piovaccari G, Salvi A, Schellong S, Schmidt KH, Verschuren F, Schmidtmann I, Meyer G, Konstantinides SV. Early switch to oral anticoagulation in patients with acute intermediate-risk pulmonary embolism (PEITHO-2): a multinational, multicentre, single-arm, phase 4 trial. Lancet Haematol 2021; 8:e627-e636. [PMID: 34363769 DOI: 10.1016/s2352-3026(21)00203-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 06/09/2021] [Accepted: 06/28/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Current guidelines recommend a risk-adjusted treatment strategy for the management of acute pulmonary embolism. This is a particular patient category for whom optimal treatment (anticoagulant treatment, reperfusion strategies, and duration of hospitalisation) is currently unknown. We investigated whether treatment of acute intermediate-risk pulmonary embolism with parenteral anticoagulation for a short period of 72 h, followed by a switch to a direct oral anticoagulant (dabigatran), is effective and safe. METHODS We did a multinational, multicentre, single-arm, phase 4 trial at 42 hospitals in Austria, Belgium, France, Germany, Italy, Netherlands, Romania, Slovenia, and Spain. Adult patients (aged ≥18 years) with symptomatic intermediate-risk pulmonary embolism, with or without deep-vein thrombosis, were enrolled. Patients received parenteral low-molecular-weight or unfractionated heparin for 72 h after diagnosis of pulmonary embolism before switching to oral dabigatran 150 mg twice per day following a standard clinical assessment. The primary outcome was recurrent symptomatic venous thromboembolism or pulmonary embolism-related death within 6 months. The primary and safety outcomes were assessed in the intention-to-treat population. The study was terminated early, as advised by the data safety and monitoring board, following sample size adaptation after the predefined interim analysis on Dec 18, 2018. This trial is registered with the EU Clinical Trials Register (EudraCT 2015-001830-12) and ClinicalTrials.gov (NCT02596555). FINDINGS Between Jan 1, 2016, and July 31, 2019, 1418 patients with pulmonary embolism were screened, of whom 402 were enrolled and were included in the intention-to-treat analysis (median age was 69·5 years [IQR 60·0-78·0); 192 [48%] were women and 210 [52%] were men). Median follow-up was 217 days (IQR 210-224) and 370 (92%) patients adhered to the protocol. The primary outcome occurred in seven (2% [upper bound of right-sided 95% CI 3]; p<0·0001 for rejecting the null hypothesis) patients, with all events occurring in those with intermediate-high-risk pulmonary embolism (seven [3%; upper bound of right-sided 95% CI 5] of 283). At 6 months, 11 (3% [95% CI 1-5]) of 402 patients had at least one major bleeding event and 16 (4% [2-6]) had at least one clinically relevant non-major bleeding event; the only fatal haemorrhage occurred in one (<1%) patient before the switch to dabigatran. INTERPRETATION A strategy of early switch from heparin to dabigatran following standard clinical assessment was effective and safe in patients with intermediate-risk pulmonary embolism. Our results can help to refine guideline recommendations for the initial treatment of acute intermediate-risk pulmonary embolism, optimising the use of resources and avoiding extended hospitalisation. FUNDING German Federal Ministry of Education and Research, University Medical Center Mainz, and Boehringer Ingelheim.
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Affiliation(s)
- Frederikus A Klok
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University, Mainz, Germany; Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, Netherlands
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Anna C Mavromanoli
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Stefano Barco
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University, Mainz, Germany; Clinic of Angiology, University Hospital Zurich, Zurich, Switzerland
| | - Walter Ageno
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
| | - Hélène Bouvaist
- Department of Cardiology, Pôle Thorax et Vaisseaux, CHU Grenoble Alpes, La Tronche, France
| | | | - Claudio Cuccia
- Cardiovascular Department, Fondazione Poliambulanza, Istituto Ospedaliero, Brescia, Italy
| | - Francis Couturaud
- Département de Médecine Interne et Pneumologie, Centre Hospitalo-Universitaire de Brest, and EA3878, FCRIN INNOVTE, Brest University, Brest, France
| | - Claudia Dellas
- Clinic of Paediatric Cardiology and Intensive Care, GUCH Center, University Medical Center Goettingen, Goettingen, Germany
| | - Konstantinos Dimopoulos
- Royal Brompton Hospital, and National Heart and Lung Institute, Imperial College London, London, UK
| | - Daniel Duerschmied
- Department of Cardiology and Angiology I, University Heart Center Freiburg - Bad Krozingen, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Klaus Empen
- Department of Internal Medicine, Städtisches Klinikum Dessau, Dessau-Roßlau, Germany
| | - Pompilio Faggiano
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Institute of Cardiology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Emile Ferrari
- Service de Cardiologie, Hôpital Pasteur, Centre Hospitalier Universitaire de Nice, Nice, France
| | - Nazzareno Galiè
- DIMES, University of Bologna and IRCCS, S Orsola University Hospital, Bologna, Italy
| | - Marcello Galvani
- Division of Cardiology, Department of Cardiovascular Diseases, AUSL Romagna, Ospedale Morgagni-Pierantoni, Forli, Italy; Cardiovascular Research Unit, Fondazione Cardiologica Myriam Zito Sacco, Forli, Italy
| | | | - George Giannakoulas
- Cardiology Department, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Menno V Huisman
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, Netherlands
| | - David Jiménez
- Department of Respiratory Diseases, Ramon y Cajal Hospital, Universidad de Alcalá, CIBER Enfermedades Respiratorias (CIBERES), Madrid, Spain
| | - Matija Kozak
- Department of Vascular Diseases, University Medical Center, Ljubljana, Slovenia
| | - Irene Marthe Lang
- Department of Cardiology, Medical University of Vienna, Vienna, Austria
| | - Mareike Lankeit
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University, Mainz, Germany; Clinic of Cardiology and Pneumology, University Medical Center Goettingen, Goettingen, Germany; Department of Internal Medicine and Cardiology, Charité-University Medicine Berlin, Germany
| | - Nicolas Meneveau
- Department of Cardiology, University Hospital Jean Minjoz, Besançon, France; EA3920, University of Burgundy Franche-Comté, Besançon, France
| | - Thomas Münzel
- Department of Cardiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | | | - Antoniu Octavian Petris
- Grigore T Popa University of Medicine and Pharmacy Iasi, Cardiology Clinic, St Spiridon County Clinical Emergency Hospital, Iasi, Romania
| | - Giancarlo Piovaccari
- Department of Cardiovascular Diseases, Infermi Hospital, AUSL Romagna, Rimini, Italy
| | - Aldo Salvi
- Internal and Subintensive Medicine Department, Azienda Ospedaliero-Universitaria Ospedali Riuniti di Ancona, Ancona, Italy
| | - Sebastian Schellong
- Department of Internal Medicine 2, Municipal Hospital Dresden, Dresden, Germany
| | - Kai-Helge Schmidt
- Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg University, Mainz, Germany; Department of Cardiology, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Franck Verschuren
- Emergency Department, Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Irene Schmidtmann
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Guy Meyer
- Pulmonology and Intensive Care Service, Georges Pompidou European Hospital, Assistance Publique-Hôpitaux de Paris, Paris Descartes University, INSERM UMR S 970, and INNOVTE, Paris, France
| | - Stavros V Konstantinides
- Department of Cardiology, Democritus University of Thrace, Alexandroupolis, Greece; Center for Thrombosis and Hemostasis, University Medical Center Mainz, Mainz, Germany.
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Toenges G, Mütze T, Jahn-Eimermacher A. A comparison of semiparametric approaches to evaluate composite endpoints in heart failure trials. Stat Med 2021; 40:5702-5724. [PMID: 34327735 DOI: 10.1002/sim.9149] [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] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 07/05/2021] [Accepted: 07/14/2021] [Indexed: 11/08/2022]
Abstract
In heart failure (HF) trials efficacy is usually assessed by a composite endpoint including cardiovascular death (CVD) and heart failure hospitalizations (HFHs), which has traditionally been evaluated with a time-to-first-event analysis based on a Cox model. As a considerable fraction of events is ignored that way, methods for recurrent events were suggested, among others the semiparametric proportional rates models by Lin, Wei, Yang, and Ying (LWYY model) and Mao and Lin (Mao-Lin model). In our work we apply least false parameter theory to explain the behavior of the composite treatment effect estimates resulting from the Cox model, the LWYY model, and the Mao-Lin model in clinically relevant scenarios parameterized through joint frailty models. These account for both different treatment effects on the two outcomes (CVD, HFHs) and the positive correlation between their risk rates. For the important setting of beneficial outcome-specific treatment effects we show that the correlation results in composite treatment effect estimates, which are decreasing with trial duration. The estimate from the Cox model is affected more by the attenuation than the estimates from the recurrent event models, which both demonstrate very similar behavior. Since the Mao-Lin model turns out to be less sensitive to harmful effects on mortality, we conclude that, among the three investigated approaches, the LWYY model is the most appropriate one for the composite endpoint in HF trials. Our investigations are motivated and compared with empirical results from the PARADIGM-HF trial (ClinicalTrials.gov identifier: NCT01035255), a large multicenter trial including 8399 chronic HF patients.
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Affiliation(s)
- Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Tobias Mütze
- Statistical Methodology, Novartis Pharma AG, Basel, Switzerland
| | - Antje Jahn-Eimermacher
- Department of Mathematics and Natural Sciences, Darmstadt University of Applied Sciences, Darmstadt, Germany
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8
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Labenz C, Nagel M, Toenges G, Kuchen R, Schattenberg JM, Hilscher M, Huber Y, Marquardt JU, Labenz J, Galle PR, Wörns MA. Impact of non-selective ß-blockers on hepatic encephalopathy in patients with liver cirrhosis. Eur J Intern Med 2020; 82:83-89. [PMID: 32873457 DOI: 10.1016/j.ejim.2020.08.022] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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: 07/25/2020] [Revised: 08/22/2020] [Accepted: 08/26/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND Non-selective β-blockers (NSBB) are frequently used for the treatment of portal hypertension and gastroesophageal varices in patients with liver cirrhosis; however prospective studies investigating the potential association between NSBB use and hepatic encephalopathy (HE) are still scarce. We investigated the potential association between NSBB use and the presence of covert HE (CHE) as well as the development of overt HE (OHE). METHODS 224 patients with liver cirrhosis were included into this cohort study at two German centers and followed for a median of 364 days. CHE was diagnosed by pathological results in the PHES. Predictors for the presence of CHE or the development of OHE were analyzed using logistic-regression or cox-regression models. RESULTS 39% of patients were treated with NSBB and CHE was detected in 34% of patients at study inclusion. In logistic regression analysis, NSBB use, higher MELD score and a history of OHE were independently associated with the presence of CHE. Cumulative incidence of OHE was considerably higher in NSBB users than in non-users (p<0.001). In Cox-regression models NSBB use, presence of CHE, lower albumin and higher MELD score were independently associated with the development of OHE in the whole cohort as well as in the subgroup of patients with decompensated liver cirrhosis. NSBB use was independently associated with higher risk of mortality or need for liver transplantation in decompensated patients but not in the total cohort. CONCLUSION NSBB use seems to be associated with the presence of CHE as well as the development of OHE in patients with decompensated liver cirrhosis.
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Affiliation(s)
- Christian Labenz
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Michael Nagel
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Robert Kuchen
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Jörn M Schattenberg
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Max Hilscher
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Yvonne Huber
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Jens U Marquardt
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Joachim Labenz
- Department of Internal Medicine, Diakonie Klinikum, Jung-Stilling Hospital, Siegen, Germany
| | - Peter R Galle
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Marcus-Alexander Wörns
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
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9
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Labenz C, Nagel M, Kremer WM, Hilscher M, Schilling CA, Toenges G, Kuchen R, Schattenberg JM, Galle PR, Wörns MA. Association between diabetes mellitus and hepatic encephalopathy in patients with cirrhosis. Aliment Pharmacol Ther 2020; 52:527-536. [PMID: 32598080 DOI: 10.1111/apt.15915] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 05/12/2020] [Accepted: 06/03/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND Diabetes mellitus may lead to increased serum ammonia and systemic inflammation thereby promoting hepatic encephalopathy (HE). AIM To investigate the potential association between diabetes mellitus/glycaemic control and the presence of covert HE as well as the development of overt HE in a prospective setting. METHODS A total of 240 patients with liver cirrhosis were included into this prospective cohort study and followed for a median of 17 months. Covert HE was diagnosed by pathological results in the Portosystemic Hepatic Encephalopathy Score. Predictors for the presence of covert HE or the development of overt HE were analysed using logistic regression or Cox-regression models. RESULTS At study inclusion, 65 patients (27.1%) presented with diabetes mellitus and covert HE was detected in 33.3%. Patients with diabetes mellitus had a more preserved liver function as compared to patients without diabetes mellitus (MELD 9 vs 10; P = 0.043). In regression analyses after adjustment for confounders, diabetes mellitus was independently associated with the presence of covert HE at study inclusion and the development of overt HE during follow-up. These associations were confirmed in separate propensity-score-weighted regression models. In subgroup analyses, patients with worse glycaemic control (HbA1c >= 6.5%) had a pronounced risk for covert HE (OR 2.264, 95% CI 1.002-5.118) and overt HE (HR 4.116, 95% CI 1.791-9.459). CONCLUSIONS Diabetes mellitus may associate with higher risk for the presence of covert HE and the development of overt HE in patients with liver cirrhosis. Adequate glycaemic control may be a potential target to attenuate this important complication.
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Affiliation(s)
- Christian Labenz
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Michael Nagel
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Wolfgang M Kremer
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Max Hilscher
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Caroline A Schilling
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Robert Kuchen
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Jörn M Schattenberg
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.,Metabolic Liver Research Program, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Peter R Galle
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Marcus-Alexander Wörns
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
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Labenz C, Kremer WM, Schattenberg JM, Wörns MA, Toenges G, Weinmann A, Galle PR, Sprinzl MF. Clinical Frailty Scale for risk stratification in patients with SARS-CoV-2 infection. J Investig Med 2020; 68:1199-1202. [PMID: 32641351 PMCID: PMC7418620 DOI: 10.1136/jim-2020-001410] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [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] [Accepted: 06/23/2020] [Indexed: 01/08/2023]
Abstract
Predictive factors for adverse outcomes in patients with COVID-19 are urgently needed. Data related to the applicability of the Clinical Frailty Scale (CFS) for risk stratification in patients with COVID-19 are currently lacking. We investigated the ability of CFS to predict need for mechanical ventilation and the duration of hospital stays in European patients with COVID-19. In total, 42 patients with confirmed COVID-19 infection admitted to the University Medical Center Mainz between March 3 and April 15 2020 were included into this validation study and data were retrospectively analyzed. CFS was assessed at admission in all patients. Patients were followed for need for mechanical ventilation and time to hospital discharge. At admission, the median CFS was 3 (range: 1–7) and 14 (33.3%) patients were considered as at least pre-frail (CFS >3). 24 (57.1%) patients were discharged from hospital after a median time of 7 days (IQR 4–8). 12 (28.6%) patients developed acute respiratory distress syndrome and required mechanical ventilation. In multivariable Cox regression analyses, higher CFS scores (HR 1.659, 95% CI 1.090 to 2.525, p=0.018) were an independent predictor for a higher risk of mechanical ventilation after adjusting for age, Charlson Comorbidity Index and quick sepsis-related organ failure score. Additionally, lower CFS scores (HR 0.554, 95% CI 0.312 to 0.983, p=0.043) were associated with earlier discharge from hospital. In conclusion, this report demonstrates the usefulness of the CFS for risk stratification at hospital admission in patients with COVID-19.
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Affiliation(s)
- Christian Labenz
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Wolfgang M Kremer
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Jörn M Schattenberg
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Marcus-Alexander Wörns
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Arndt Weinmann
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Peter R Galle
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
| | - Martin F Sprinzl
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University, Mainz, Germany
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Ott T, Tschöpe K, Toenges G, Buggenhagen H, Engelhard K, Kriege M. Does the revised intubating laryngeal tube (ILTS-D2) perform better than the intubating laryngeal mask (Fastrach)? - a randomised simulation research study. BMC Anesthesiol 2020; 20:111. [PMID: 32393169 PMCID: PMC7212614 DOI: 10.1186/s12871-020-01029-3] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 04/29/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The intubating laryngeal tube (ILTS-D™) and the intubating laryngeal mask (Fastrach™) are devices that facilitate both extraglottic application and blind tracheal intubation. A revised model of the iLTS-D (for scientific reasons called ILTS-D2) has been designed but not yet evaluated. Therefore, we compared the ILTS-D2 with the established Fastrach under controlled conditions in a prospective randomised controlled simulation research study. METHODS After ethical approval, we randomised 126 medical students into two groups. Each participant received either Fastrach or ILTS-D2 to perform five consecutive ventilation attempts in a manikin. The primary endpoint was the time to ventilation in the last attempt of using the devices as extraglottic devices. Secondary endpoints were the time to tracheal intubation and the success rates. RESULTS There was no relevant difference between the two devices in the time to ventilation in the last of five attempts (Fastrach: median 14 s [IQR: 12-15]; ILTS-D2: median 13 s [IQR: 12-15], p = 0.592). Secondary endpoints showed a 2 s faster blind tracheal intubation using the Fastrach than using the ILTS-D2 (Fastrach: median 14 s [IQR: 13-17]; ILTS-D2: median 16 s [IQR: 15-20] p < 0.001). For both devices, the success rates were 100% in the last attempt. CONCLUSIONS Concerning extraglottic airway management, we could not detect a relevant difference between the revised ILTS-D2 and the Fastrach under laboratory conditions. We advocate for an evaluation of the ILTS-D2 in randomised controlled clinical trials. TRIAL REGISTRATION Identifier at clinicaltrials.gov: NCT03542747. May 31, 2018.
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Affiliation(s)
- Thomas Ott
- Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg University, Langenbeckstr. 1, 55131, Mainz, Germany.
| | - Katharina Tschöpe
- Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg University, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology, and Informatics, Medical Centre of the Johannes Gutenberg University, Mainz, Germany
| | - Holger Buggenhagen
- Rudolf-Frey Lernklinik Central Education Platform, Medical Centre of the Johannes Gutenberg University, Mainz, Germany
| | - Kristin Engelhard
- Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg University, Langenbeckstr. 1, 55131, Mainz, Germany
| | - Marc Kriege
- Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg University, Langenbeckstr. 1, 55131, Mainz, Germany
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Toenges G, Jahn-Eimermacher A. Computational issues in fitting joint frailty models for recurrent events with an associated terminal event. Comput Methods Programs Biomed 2020; 188:105259. [PMID: 31862679 DOI: 10.1016/j.cmpb.2019.105259] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 11/27/2019] [Accepted: 12/02/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND AND OBJECTIVE Joint frailty regression models are intended for the analysis of recurrent event times in the presence of informative drop-outs. They have been proposed for clinical trials to estimate the effect of some treatment on the rate of recurrent heart failure hospitalisations in the presence of drop-outs due to cardiovascular death. Whereas a R-software-package for fitting joint frailty models is available, some technical issues have to be solved in order to use SASⓇ1 software, which is required in the regulatory environment of clinical trials. METHODS First, we demonstrate how to solve these issues by deriving proper likelihood-decompositions, in particular for the case of non-normally distributed random terms. Second, we perform a simulation study to evaluate the accuracy of different software-implementations (in SAS and R) in terms of convergence behavior, bias of model parameter estimates and coverage probabilities of confidence intervals. Therefore we developed SAS macros that facilitate the analysis and simulation of joint frailty data. These are provided as supplementary material along with comprehensive manuals. RESULTS Whereas estimates for regression coefficients are unbiased irrespective of the software, the bias of the remaining (nuisance) parameter estimates strongly depends on the software: SAS is shown to be much more efficient in avoiding bias compared to R. However, even in SAS a careful choice of the implementation is required to get reliable results, in particular for the joint gamma frailty model. By far the best performance is reached with a SAS-implementation that makes use of the probability integral transformation method. CONCLUSIONS We have shown, that getting reliable results from joint frailty models is not straightforward and users should be aware about the computational options between and within software packages. Based on our simulation study, we elaborate recommendations on these options. In addition, our provided SAS macros may encourage statistical practitioners to apply these models in clinical trials with recurrent event data and potentially informative drop-outs.
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Affiliation(s)
- Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
| | - Antje Jahn-Eimermacher
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany; Department of Mathematics and Natural Sciences, Darmstadt University of Applied Sciences, Darmstadt, Germany
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Engel S, Graetz C, Salmen A, Muthuraman M, Toenges G, Ambrosius B, Bayas A, Berthele A, Heesen C, Klotz L, Kümpfel T, Linker RA, Meuth SG, Paul F, Stangel M, Tackenberg B, Then Bergh F, Tumani H, Weber F, Wildemann B, Zettl UK, Antony G, Bittner S, Groppa S, Hemmer B, Wiendl H, Gold R, Zipp F, Lill CM, Luessi F. Is APOE ε4 associated with cognitive performance in early MS? Neurol Neuroimmunol Neuroinflamm 2020; 7:7/4/e728. [PMID: 32358224 PMCID: PMC7217661 DOI: 10.1212/nxi.0000000000000728] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Accepted: 03/27/2020] [Indexed: 01/01/2023]
Abstract
Objective To assess the impact of APOE polymorphisms on cognitive performance in patients newly diagnosed with clinically isolated syndrome (CIS) or relapsing-remitting MS (RRMS). Methods This multicenter cohort study included 552 untreated patients recently diagnosed with CIS or RRMS according to the 2005 revised McDonald criteria. The single nucleotide polymorphisms rs429358 (ε4) and rs7412 (ε2) of the APOE haplotype were assessed by allelic discrimination assays. Cognitive performance was evaluated using the 3-second paced auditory serial addition test and the Multiple Sclerosis Inventory Cognition (MUSIC). Sum scores were calculated to approximate the overall cognitive performance and memory-centered cognitive functions. The impact of the APOE carrier status on cognitive performance was assessed using multiple linear regression models, also including demographic, clinical, MRI, and lifestyle factors. Results APOE ε4 homozygosity was associated with lower overall cognitive performance, whereas no relevant association was observed for APOE ε4 heterozygosity or APOE ε2 carrier status. Furthermore, higher disability levels, MRI lesion load, and depressive symptoms were associated with lower cognitive performance. Patients consuming alcohol had higher test scores than patients not consuming alcohol. Female sex, lower disability, and alcohol consumption were associated with better performance in the memory-centered subtests of MUSIC, whereas no relevant association was observed for APOE carrier status. Conclusion Along with parameters of a higher disease burden, APOE ε4 homozygosity was identified as a potential predictor of cognitive performance in this large cohort of patients with CIS and early RRMS.
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Affiliation(s)
- Sinah Engel
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Christiane Graetz
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Anke Salmen
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Muthuraman Muthuraman
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Gerrit Toenges
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Björn Ambrosius
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Antonios Bayas
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Achim Berthele
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Christoph Heesen
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Luisa Klotz
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Tania Kümpfel
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Ralf A Linker
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Sven G Meuth
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Friedemann Paul
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Martin Stangel
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Björn Tackenberg
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Florian Then Bergh
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Hayrettin Tumani
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Frank Weber
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Brigitte Wildemann
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Uwe K Zettl
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Gisela Antony
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Stefan Bittner
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Sergiu Groppa
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Bernhard Hemmer
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Heinz Wiendl
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Ralf Gold
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Frauke Zipp
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Christina M Lill
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany
| | - Felix Luessi
- From the Department of Neurology and Focus Program Translational Neuroscience (FTN) (S.E., C.G., M.M., S.B., S.G., F.Z., C.M.L., F.L.), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Germany; Department of Neurology (A.S.), Inselspital, Bern University Hospital, University of Bern, Switzerland; Department of Neurology (A.S., B.A., R.G.), St. Josef-Hospital, Ruhr-University Bochum; Institute of Medical Biostatistics (G.T.), Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz; Department of Neurology (A. Bayas), Klinikum Augsburg; Department of Neurology (A. Berthele, B.H.), Klinikum rechts der Isar, Technical University of Munich; Institut für Neuroimmunologie und Multiple Sklerose (C.H.), Universitätsklinikum Hamburg-Eppendorf; Clinic of Neurology (L.K., S.G.M., H.W.), University Hospital Münster, Westphalian-Wilhelms-University Münster; Institute of Clinical Neuroimmunology (T.K.), Ludwig Maximilian University of Munich; Department of Neurology (R.A.L.), University Hospital Erlangen; NeuroCure Clinical Research Center and Experimental and Clinical Research Center (F.P.), Charité - Universitätsmedizin Berlin and Max Delbrueck Center for Molecular Medicine; Department of Neurology (M.S.), Hannover Medical School; Department of Neurology (B.T.), Philipps-University Marburg; Department of Neurology (F.T.B.), University of Leipzig; Department of Neurology (H.T.), University of Ulm; Clinic of Neurology Dietenbronn (H.T.), Schwendi; Neurology (F.W.), Max-Planck-Institute of Psychiatry, Munich; Neurological Clinic (F.W.), Sana Kliniken des Landkreises Cham; Department of Neurology (B.W.), University of Heidelberg; Department. of Neurology (U.K.Z.), University of Rostock; Central Information Office (CIO) (G.A.), Philipps-University Marburg; and Genetic and Molecular Epidemiology Group (C.M.L.), Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Germany.
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14
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Ghaemi Kerahrodi J, Brähler E, Wiltink J, Michal M, Schulz A, Wild PS, Münzel T, Toenges G, Lackner KJ, Pfeiffer N, Beutel ME. Association between medicated obstructive pulmonary disease, depression and subjective health: results from the population-based Gutenberg Health Study. Sci Rep 2019; 9:20252. [PMID: 31882715 PMCID: PMC6934802 DOI: 10.1038/s41598-019-56440-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Accepted: 12/03/2019] [Indexed: 12/19/2022] Open
Abstract
Medicated obstructive pulmonary disease (asthma or COPD) has been associated with depression. Yet, there is little knowledge of the interplay of contributing social, biological, behavioral and psychological factors in the community. The study was conducted: (1) To determine the prevalence of depression in participants with medicated COPD or asthma from the general population, (2) to identify underlying social, biological, behavioral and psychological factors and (3) to determine the contribution of obstructive pulmonary disease and depression to subjective health. The population-based sample of 15.010 study participants (35–74 years) from the Gutenberg Health Study (GHS) was queried according to a medical diagnosis of obstructive pulmonary disease, defined as medicated COPD or asthma, and comorbid disorders. Demographic, behavioral and psychological factors were assessed by self-report; lung function (FEV1; FCV) was measured by spirometry. 307 men (4.3%) and 396 women (5.6%) reported a medical diagnosis of COPD or asthma. The prevalence of depression (PHQ-9 > = 10) was twice as high (16.2% vs. 7.5%) compared to participants without obstructive pulmonary disease. Participants with obstructive pulmonary disease were older, had a lower SES, more comorbid diseases and cardiovascular risk factors, higher distress and took more psychotropic medication. In multivariable logistic regression analyses, obstructive pulmonary disease was associated with a 71% increase of depression (OR = 1.71; 95% CI = 1.30 to 2.24). Additional contributors were FEV1 (1.18; 95% CI = 1.05 to 1.32) and dyspnea (NYHA > = 1) (2.19; 1.82 to 2.64), sex (women) (OR = 1.73; 95% CI 1.41 to 2.12), lower SES (OR = 0.98; 95%CI = 0.96 to 0.99). Lack of active sports OR = 0.79; 95% CI 0.68 to 0.92), obesity (OR 1.27; 95% CI 1.07 to 1.50), smoking (OR = 1.26; 95% CI 1.06 to 1.49) and dyslipidemia (OR = 1.35; 95% CI 1.15 to 1.57) also increased the risk of depression. Additional psychological risks were social phobia, type D, low social support, loneliness and life events in the past 12 months. In multivariable linear regression analyses, obstructive pulmonary disease and depression independently contributed to reduced subjective health in addition to sedentary behavior, smoking and comorbid somatic and mental disorders. These findings provide evidence that COPD and asthma are associated with depression in the community. Complex underlying demographic, medical and psychosocial variables have been identified which may justify an integrative treatment approach. Promoting health behavior (smoking cessation, exercising, weight reduction) and social integration may not only improve the somatic course of the disease, but also mental health. Mental health treatment may also improve health behavior and subjective health.
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Affiliation(s)
- Jasmin Ghaemi Kerahrodi
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
| | - Elmar Brähler
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Jörg Wiltink
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Matthias Michal
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Andreas Schulz
- Preventive Cardiology and Preventive Medicine, Center for Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Phillip S Wild
- Preventive Cardiology and Preventive Medicine, Center for Cardiology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.,Center for Thrombosis and Hemostasis, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany.,DZHK (German Center for Cardiovascular Research), partner site RhineMain, Mainz, Germany
| | - Thomas Münzel
- Center for Cardiology, Cardiology I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.,DZHK (German Center for Cardiovascular Research), partner site RhineMain, Mainz, Germany
| | - Gerrit Toenges
- Institute for Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Karl J Lackner
- DZHK (German Center for Cardiovascular Research), partner site RhineMain, Mainz, Germany.,Institute for Clinical Chemistry and Laboratory Medicine, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Norbert Pfeiffer
- Department of Ophthalmology, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Manfred E Beutel
- Department of Psychosomatic Medicine and Psychotherapy, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
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15
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Labenz C, Toenges G, Schattenberg JM, Nagel M, Huber Y, Marquardt JU, Galle PR, Wörns MA. Health-related quality of life in patients with compensated and decompensated liver cirrhosis. Eur J Intern Med 2019; 70:54-59. [PMID: 31530418 DOI: 10.1016/j.ejim.2019.09.004] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [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: 03/19/2019] [Revised: 08/04/2019] [Accepted: 09/09/2019] [Indexed: 12/27/2022]
Abstract
BACKGROUND Compensated (Child-Pugh [CP] A) and decompensated (CP B/C) liver cirrhosis significantly differs in terms of impairment of health-related quality of life (HRQoL). However, sufficient data on potentially treatable factors associated with HRQoL in both stages of the disease are still lacking. Consequently, aims of this study were to determine differences in HRQoL between patients with compensated and decompensated liver cirrhosis and to identify potentially treatable factors associated with HRQoL. METHODS 218 patients with liver cirrhosis were enrolled into this study. Chronic Liver Disease Questionnaire (CLDQ) was used to assess HRQoL. Covert hepatic encephalopathy (CHE) was diagnosed according to a combination of Psychometric Hepatic Encephalopathy Score and Critical Flicker Frequency. Frailty was assessed by Clinical Frailty Scale (CFS). RESULTS HRQoL differed between patients with CP A (n = 133) and CP B/C (n = 85) liver cirrhosis (CLDQ total score: 5.6 vs. 4.8, p < 0.001). Multivariate analysis identified a history of falls in the recent year, presence of CHE, female gender, active smoking, higher CFS, and higher serum levels of CRP as independent predictors of impaired HRQoL (all p < 0.05) in patients with CP A liver cirrhosis. In patients with CP B/C liver cirrhosis, female gender, a history of overt hepatic encephalopathy, and lower hemoglobin were independently associated with impaired HRQoL (all p < 0.05). CONCLUSIONS Predictors of impaired HRQoL differ in patients with CP A or CP B/C liver cirrhosis. Focusing on treatable factors in routine clinical practice may improve HRQoL in all stages of liver cirrhosis.
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Affiliation(s)
- Christian Labenz
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Jörn M Schattenberg
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Michael Nagel
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Yvonne Huber
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Jens U Marquardt
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Peter R Galle
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany
| | - Marcus-Alexander Wörns
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Center Mainz (CCM), University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.
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16
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Ott T, Stracke J, Sellin S, Kriege M, Toenges G, Lott C, Kuhn S, Engelhard K. Impact of cardiopulmonary resuscitation on a cannot intubate, cannot oxygenate condition: a randomised crossover simulation research study of the interaction between two algorithms. BMJ Open 2019; 9:e030430. [PMID: 31767584 PMCID: PMC6887030 DOI: 10.1136/bmjopen-2019-030430] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [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] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES During a 'cannot intubate, cannot oxygenate' situation, asphyxia can lead to cardiac arrest. In this stressful situation, two complex algorithms facilitate decision-making to save a patient's life: difficult airway management and cardiopulmonary resuscitation. However, the extent to which competition between the two algorithms causes conflicts in the execution of pivotal treatment remains unknown. Due to the rare incidence of this situation and the very low feasibility of such an evaluation in clinical reality, we decided to perform a randomised crossover simulation research study. We propose that even experienced healthcare providers delay cricothyrotomy, a lifesaving approach, due to concurrent cardiopulmonary resuscitation in a 'cannot intubate, cannot oxygenate' situation. DESIGN Due to the rare incidence and dynamics of such a situation, we conducted a randomised crossover simulation research study. SETTING We collected data in our institutional simulation centre between November 2016 and November 2017. PARTICIPANTS We included 40 experienced staff anaesthesiologists at our tertiary university hospital centre. INTERVENTION The participants treated two simulated patients, both requiring cricothyrotomy: one patient required cardiopulmonary resuscitation due to asphyxia, and one patient did not require cardiopulmonary resuscitation. Cardiopulmonary resuscitation was the intervention. Participants were evaluated by video records. PRIMARY OUTCOME MEASURES The difference in 'time to ventilation through cricothyrotomy' between the two situations was the primary outcome measure. RESULTS The results of 40 participants were analysed. No carry-over effects were detected in the crossover design. During cardiopulmonary resuscitation, the median time to ventilation was 22 s (IQR 3-40.5) longer than that without cardiopulmonary resuscitation (p=0.028), including the decision-making time. CONCLUSION Cricothyrotomy, which is the most crucial treatment for cardiac arrest in a 'cannot intubate, cannot oxygenate' situation, was delayed by concurrent cardiopulmonary resuscitation. If cardiopulmonary resuscitation delays cricothyrotomy, it should be interrupted to first focus on cricothyrotomy.
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Affiliation(s)
- Thomas Ott
- Department of Anaesthesiology, Johannes Gutenberg Universitat Mainz, Mainz, Germany
| | - Jascha Stracke
- Department of Anaesthesiology, Johannes Gutenberg Universitat Mainz, Mainz, Germany
| | - Susanna Sellin
- Department of Anaesthesiology, Johannes Gutenberg Universitat Mainz, Mainz, Germany
| | - Marc Kriege
- Department of Anaesthesiology, Johannes Gutenberg Universitat Mainz, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, Johannes Gutenberg Universitat Mainz, Mainz, Germany
| | - Carsten Lott
- Department of Anaesthesiology, Johannes Gutenberg Universitat Mainz, Mainz, Germany
| | - Sebastian Kuhn
- Department of Orthopaedics and Traumatology, Johannes Gutenberg Universitat Mainz, Mainz, Germany
| | - Kristin Engelhard
- Department of Anaesthesiology, Johannes Gutenberg Universitat Mainz, Mainz, Germany
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17
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Labenz C, Toenges G, Huber Y, Nagel M, Marquardt JU, Schattenberg JM, Galle PR, Labenz J, Wörns MA. Raised serum Interleukin-6 identifies patients with liver cirrhosis at high risk for overt hepatic encephalopathy. Aliment Pharmacol Ther 2019; 50:1112-1119. [PMID: 31583743 DOI: 10.1111/apt.15515] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 07/22/2019] [Accepted: 09/02/2019] [Indexed: 12/17/2022]
Abstract
BACKGROUND Systemic inflammation is a driving force for the development of hepatic encephalopathy and recent studies demonstrated that elevated Interleukin-6 (IL-6) serum levels are associated with the presence of minimal hepatic encephalopathy in patients with liver cirrhosis. AIM To test the hypothesis that IL-6 is a suitable marker to identify patients with liver cirrhosis at high risk for the development of overt hepatic encephalopathy. METHODS 201 patients were included into this prospective cohort study and were followed for a mean time of 322 days. Covert hepatic encephalopathy was diagnosed according to the West-Haven criteria (hepatic encephalopathy grade 1) and with the portosystemic encephalopathy (PSE) test. RESULTS The cumulative incidence of overt hepatic encephalopathy was higher in patients with IL-6 levels above the median of 9 pg/mL than in patients with IL-6 levels at or below the median (35.6% vs 1.9%, P < .001). After adjustment for covert hepatic encephalopathy, history of overt hepatic encephalopathy, C-reactive protein (CRP) and model for end-stage liver disease (MELD), IL-6 levels above the median remained independently associated with the development of overt hepatic encephalopathy. The predictive performance of IL-6 regarding the development of overt hepatic encephalopathy during the next 180 days (AUROC, 0.931) was numerically higher than that of MELD (AUROC, 0.841) or CRP (AUROC, 0.835). In patients without prior overt hepatic encephalopathy, the predictive performance of IL-6 (AUROC, 0.966) was even significantly higher than that of MELD (AUROC 0.843) or CRP (AUROC 0.850). The ideal cut-off for IL-6 in this setting was 23.5 pg/mL with a sensitivity and specificity of 89.3% and 89.5% respectively. CONCLUSION IL-6 serum levels are closely linked to the development of overt hepatic encephalopathy in patients with liver cirrhosis.
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Affiliation(s)
- Christian Labenz
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Yvonne Huber
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Michael Nagel
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Jens U Marquardt
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Jörn M Schattenberg
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Peter R Galle
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Joachim Labenz
- Department of Internal Medicine, Diakonie Klinikum, Jung-Stilling Hospital, Siegen, Germany
| | - Marcus-Alexander Wörns
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
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18
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Sprinzl MF, Kirstein MM, Koch S, Seib ML, Weinmann-Menke J, Lang H, Düber C, Toenges G, Zöller D, Marquardt JU, Wörns MA, Galle PR, Vogel A, Pinter M, Weinmann A. Improved Prediction of Survival by a Risk Factor-Integrating Inflammatory Score in Sorafenib-Treated Hepatocellular Carcinoma. Liver Cancer 2019; 8:387-402. [PMID: 31768347 PMCID: PMC6873091 DOI: 10.1159/000492628] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [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: 12/20/2017] [Accepted: 08/01/2018] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND AND AIMS Inflammation affects progression of hepatocellular carcinoma (HCC). We therefore postulate that systemic inflammatory markers could help to predict prognosis in HCC patients receiving sorafenib therapy. METHODS Overall survival (OS) of HCC patients receiving palliative sorafenib treatment was correlated with the neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), C-reactive protein to albumin ratio (CAR), Glasgow prognostic score (GPS) and the modified GPS (mGPS) along with clinicopathological parameters. Predictors of OS were assessed by multivariable Cox regression and receiver operating characteristics and area under the curve (ROC-AUC) analyses. RESULTS Patients receiving sorafenib (n = 120) for advanced HCC (Barcelona Clinic Liver Cancer stage C) were explored by retrospective analysis. Findings were subsequently validated by a second HCC cohort (n = 113) receiving sorafenib at two independent treatment centers. Multivariable assessment across these HCC cohorts confirmed a stable association of CAR (p ≤ 0.001), GPS (p ≤ 0.01) and mGPS (p ≤ 0.004) with OS. This study also identified Eastern Cooperative Oncology Group (ECOG) performance score (p < 0.001) and portal thrombosis (p = 0.002) as prognostic factors and uncovered an inconsistent OS association of NLR and PLR in HCC patients. Additional combined analysis of ECOG, portal thrombosis and GPS within an extended score (GPS-EP) was associated with OS (p = 0.021), which was confirmed within the validation cohort (p = 0.001). In sorafenib-treated HCC, the ROC-AUC value for the prediction of 12-month survival was 0.761 (CAR >/≤0.37 cut-off, p < 0.001), 0.766 (GPS, p < 0.001) and 0.754 (mGPS, p < 0.001), respectively. In comparison to this, GPS-EP achieved a higher AUC of 0.826 (0.746-0.907) for the 12-month survival prediction, resulting in a 64.4% sensitivity and 83.3% specificity at a > 2 point cut-off. CONCLUSIONS Inflammatory scores obtained before sorafenib treatment initiation are associated with OS in advanced HCC. Their combination with other risk factors improves prediction of 3- and 12-month survival, which could guide treatment decisions in selected patient subgroups.
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Affiliation(s)
- Martin F. Sprinzl
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany,Clinical Registry Unit, Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany,*Dr. Martin F. Sprinzl and Dr. Arndt Weinmann, Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstrasse 1, DE–55131 Mainz (Germany), E-Mail and
| | - Martha M. Kirstein
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Sandra Koch
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany,Clinical Registry Unit, Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Marie-Luise Seib
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Julia Weinmann-Menke
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany,Clinical Registry Unit, Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Hauke Lang
- Department of General, Visceral and Transplant Surgery, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Christoph Düber
- Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Daniela Zöller
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany,Institute for Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Jens U. Marquardt
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Marcus-Alexander Wörns
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Peter R. Galle
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Arndt Vogel
- Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany
| | - Matthias Pinter
- Department of Gastroenterology, Department of Internal Medicine III, Medical University, Vienna, Austria
| | - Arndt Weinmann
- Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany,Clinical Registry Unit, Department of Internal Medicine I, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
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Zimmermann A, Darstein F, Hoppe-Lotichius M, Toenges G, Lautem A, Abel F, Schad A, Mittler J, Vollmar J, Grimm D, Lang H, Galle PR, Zimmermann T, Schuppan D. Cirrhosis risk score of the donor organ predicts early fibrosis progression after liver transplantation. J Gastrointestin Liver Dis 2019; 28:53-61. [PMID: 30851173 DOI: 10.15403/jgld.2014.1121.281.crr] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND AND AIMS Fibrosis progression (FP) after liver transplantation (LT) increases morbidity and mortality. Biomarkers are needed for early prediction of FP. A recipient's seven-gene cirrhosis risk score (CRS) has been associated with FP, especially in non-transplant cohorts. A broader validation of CRS, including the genotype of the donor-organ and HCV-negative patients is lacking. We therefore analyzed the impact of donor- and recipient-specific genotypes on FP after LT in a large cohort of HCV-positive and -negative patients. METHOD Genotyping from liver biopsies (n=201 donors) and peripheral blood (n=442 recipients) was performed. Cirrhosis risk score was correlated with FP at 1 and 5 years after LT. RESULTS Fibrosis >/=F2 was documented in 26.5% of the recipients' CRS group (R-CRS) (defined by recipient's genotype) and in 23.4% of the donors' CRS- group (D-CRS) (defined by donor's genotype). Cumulative incidence for fibrosis >/=F2 was higher in patients with D-CRS >0.7 (p=0.03). While the R-CRS showed no prognostic relevance, D-CRS >0.7 was associated with higher hazard ratios (HRs) for fibrosis >/=F2 (HR=2.04; p=0.01), especially in HCV-negative patients (HR=2.59, p=0.03). Donors' CRS >0.7 was associated with higher risk for >/=F2 in 1-year protocol biopsies (p<0.001). Among the patients in whom both the recipient's and donor's CRS were available, fibrosis >/=F2 was encountered more frequently in patients with a D-CRS >0.7, in combination with any R-CRS, compared to patients with D-CRS scores </=0.7 (p=0.034). Donors' AZIN1, STXBP5L, TRPM5 genotypes carried a higher risk for fibrosis >/=F2 in subgroups. CONCLUSION High D-CRS >0.7 predicted early FP after LT, especially in HCV negative patients.
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Affiliation(s)
- Anca Zimmermann
- 1st Department of Medicine, Cirrhosis Center Mainz (CCM), University Medical Center Mainz, Germany.
| | - Felix Darstein
- 1st Department of Medicine, Cirrhosis Center Mainz (CCM);Interdisciplinary Transplant Center, University Medical Center Mainz, Germany
| | - Maria Hoppe-Lotichius
- Department of General-, Visceral- and Transplantation- Surgery, University Medical Center Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center, Mainz, Germany
| | - Anja Lautem
- Department of General-, Visceral- and Transplantation- Surgery, University Medical Center Mainz, Germany
| | - Frédéric Abel
- 1st Department of Medicine, Cirrhosis Center Mainz (CCM), University Medical Center Mainz, Germany
| | - Arno Schad
- Institute of Pathology, University Medical Center, Mainz, Germany
| | - Jens Mittler
- Interdisciplinary Transplant Center;Department of General-, Visceral- and Transplantation- Surgery, University Medical Center Mainz, Germany
| | - Johanna Vollmar
- 1st Department of Medicine, Cirrhosis Center Mainz (CCM), University Medical Center Mainz, Germany
| | - Daniel Grimm
- 1st Department of Medicine, Cirrhosis Center Mainz (CCM), University Medical Center Mainz, Germany
| | - Hauke Lang
- Interdisciplinary Transplant Center;Department of General-, Visceral- and Transplantation- Surgery, University Medical Center Mainz, Germany
| | - Peter R Galle
- 1st Department of Medicine, Cirrhosis Center Mainz (CCM);Interdisciplinary Transplant Center, University Medical Center Mainz, Germany
| | - Tim Zimmermann
- 1st Department of Medicine, Cirrhosis Center Mainz (CCM);Interdisciplinary Transplant Center, University Medical Center Mainz, Germany
| | - Detlef Schuppan
- Institute of Translational Immunology, Liver Fibrosis Center, University Medical Center Mainz, Germany;Division of Gastroenterology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
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20
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Toenges G, Jahn-Eimermacher A. Marginal hazard ratio estimates in joint frailty models for heart failure trials. Biom J 2019; 61:1385-1401. [PMID: 31206775 PMCID: PMC6899617 DOI: 10.1002/bimj.201800133] [Citation(s) in RCA: 3] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 04/15/2019] [Accepted: 05/10/2019] [Indexed: 01/24/2023]
Abstract
This work is motivated by clinical trials in chronic heart failure disease, where treatment has effects both on morbidity (assessed as recurrent non-fatal hospitalisations) and on mortality (assessed as cardiovascular death, CV death). Recently, a joint frailty proportional hazards model has been proposed for these kind of efficacy outcomes to account for a potential association between the risk rates for hospital admissions and CV death. However, more often clinical trial results are presented by treatment effect estimates that have been derived from marginal proportional hazards models, that is, a Cox model for mortality and an Andersen-Gill model for recurrent hospitalisations. We show how these marginal hazard ratios and their estimates depend on the association between the risk processes, when these are actually linked by shared or dependent frailty terms. First we derive the marginal hazard ratios as a function of time. Then, applying least false parameter theory, we show that the marginal hazard ratio estimate for the hospitalisation rate depends on study duration and on parameters of the underlying joint frailty model. In particular, we identify parameters, for example the treatment effect on mortality, that determine if the marginal hazard ratio estimate for hospitalisations is smaller, equal or larger than the conditional one. How this affects rejection probabilities is further investigated in simulation studies. Our findings can be used to interpret marginal hazard ratio estimates in heart failure trials and are illustrated by the results of the CHARM-Preserved trial (where CHARM is the 'Candesartan in Heart failure Assessment of Reduction in Mortality and morbidity' programme).
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Affiliation(s)
- Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Antje Jahn-Eimermacher
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.,Department of Mathematics and Natural Sciences, Darmstadt University of Applied Sciences, Darmstadt, Germany
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Zimmermann A, Darstein F, Hoppe-Lotichius M, Toenges G, Lautem A, Abel F, Schad A, Mittler J, Vollmar J, Grimm D, Lang H, Galle PR, Zimmermann T, Schuppan D. Cirrhosis Risk Score of the Donor Organ Predicts Early Fibrosis Progression after Liver Transplantation. JGLD 2019. [DOI: 10.15403/jgld-158] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Background & Aims: Fibrosis progression (FP) after liver transplantation (LT) increases morbidity and mortality. Biomarkers are needed for early prediction of FP. A recipient’s seven-gene cirrhosis risk score (CRS) has been associated with FP, especially in non-transplant cohorts. A broader validation of CRS, including the genotype of the donor-organ and HCV-negative patients is lacking. We therefore analyzed the impact of donor- and recipient-specific genotypes on FP after LT in a large cohort of HCV-positive and -negative patients.Method: Genotyping from liver biopsies (n=201 donors) and peripheral blood (n=442 recipients) was performed. Cirrhosis risk score was correlated with FP at 1 and 5 years after LT.Results: Fibrosis ≥F2 was documented in 26.5% of the recipients’ CRS group (R-CRS) (defined by recipient’s genotype) and in 23.4% of the donors’ CRS- group (D-CRS) (defined by donor’s genotype). Cumulative incidence for fibrosis ≥F2 was higher in patients with D-CRS >0.7 (p=0.03). While the R-CRS showed no prognostic relevance, D-CRS >0.7 was associated with higher hazard ratios (HRs) for fibrosis ≥F2 (HR=2.04; p=0.01), especially in HCV-negative patients (HR=2.59, p=0.03). Donors’ CRS >0.7 was associated with higher risk for ≥F2 in 1-year protocol biopsies (p<0.001). Among the patients in whom both the recipient’s and donor’s CRS were available, fibrosis ≥F2 was encountered more frequently in patients with a D-CRS >0.7, in combination with any R-CRS, compared to patients with D-CRS scores ≤0.7 (p=0.034). Donors’ AZIN1, STXBP5L, TRPM5 genotypes carried a higher risk for fibrosis ≥F2 in subgroups.Conclusion: High D-CRS >0.7 predicted early FP after LT, especially in HCV negative patients.
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Labenz C, Beul L, Toenges G, Schattenberg JM, Nagel M, Sprinzl MF, Nguyen-Tat M, Zimmermann T, Huber Y, Marquardt JU, Galle PR, Wörns MA. Validation of the simplified Animal Naming Test as primary screening tool for the diagnosis of covert hepatic encephalopathy. Eur J Intern Med 2019; 60:96-100. [PMID: 30131209 DOI: 10.1016/j.ejim.2018.08.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [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: 07/13/2018] [Accepted: 08/13/2018] [Indexed: 01/11/2023]
Abstract
BACKGROUND Diagnosis of covert hepatic encephalopathy (CHE) is time consuming in clinical practice. Recently, a new diagnostic tool - the simplified Animal Naming Test (S-ANT1) - was presented with promising results in an Italian cohort. The aim of the present study was to validate S-ANT1 in a cohort of cirrhotic patients from a German tertiary referral centre. METHODS 143 cirrhotic patients and 37 healthy controls were enrolled. Hepatic encephalopathy (HE) grade 1 (HE1) was clinically diagnosed according to the West-Haven Criteria. Critical flicker frequency and Psychometric Hepatic Encephalopathy Score were used to detect minimal HE (MHE). All participants were additionally examined by S-ANT1. RESULTS 58 (40.6%) patients presented with CHE (40 MHE, 18 HE1). S-ANT1 was lowest in patients with HE1, followed by patients with MHE, patients without CHE, and healthy controls, respectively (each p < 0.05). Naming <20 animals discriminated best between patients with and without CHE in ROC analysis (with Youden's index). With a cut-off value of ≥23 mentioned animal names further testing for CHE could be avoided in 38.5% of patients with a negative predictive value of 84%. CONCLUSIONS S-ANT1 may become an important first screening tool for the assessment of CHE in clinical practice.
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Affiliation(s)
- Christian Labenz
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Larissa Beul
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre of the Johannes Gutenberg University, Mainz, Germany
| | - Jörn M Schattenberg
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Michael Nagel
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Martin F Sprinzl
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Marc Nguyen-Tat
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Tim Zimmermann
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Yvonne Huber
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Jens U Marquardt
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Peter R Galle
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Marcus-Alexander Wörns
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany; Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.
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Uphaus T, Weber-Krüger M, Grond M, Toenges G, Jahn-Eimermacher A, Jauss M, Kirchhof P, Wachter R, Gröschel K. Development and validation of a score to detect paroxysmal atrial fibrillation after stroke. Neurology 2018; 92:e115-e124. [PMID: 30530796 DOI: 10.1212/wnl.0000000000006727] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 08/22/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Prolonged monitoring times (72 hours) are recommended to detect paroxysmal atrial fibrillation (pAF) after ischemic stroke but this is not yet clinical practice; therefore, an individual patient selection for prolonged ECG monitoring might increase the diagnostic yield of pAF in a resource-saving manner. METHODS We used individual patient data from 3 prospective studies (ntotal = 1,556) performing prolonged Holter-ECG monitoring (at least 72 hours) and centralized data evaluation after TIA or stroke in patients with sinus rhythm. Based on the TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis) guideline, a clinical score was developed on one cohort, internally validated by bootstrapping, and externally validated on 2 other studies. RESULTS pAF was detected in 77 of 1,556 patients (4.9%) during 72 hours of Holter monitoring. After logistic regression analysis with variable selection, age and the qualifying stroke event (categorized as stroke severity with NIH Stroke Scale [NIHSS] score ≤5 [odds ratio 2.4 vs TIA; 95% confidence interval 0.8-6.9, p = 0.112] or stroke with NIHSS score >5 [odds ratio 7.2 vs TIA; 95% confidence interval 2.4-21.8, p < 0.001]) were found to be predictive for the detection of pAF within 72 hours of Holter monitoring and included in the final score (Age: 0.76 points/year, Stroke Severity NIHSS ≤5 = 9 points, NIHSS >5 = 21 points; to Find AF [AS5F]). The high-risk group defined by AS5F is characterized by a predicted risk between 5.2% and 40.8% for detection of pAF with a number needed to screen of 3 for the highest observed AS5F points within the study population. Regarding the low number of outcomes before generalization of AS5F, the results need replication. CONCLUSION The AS5F score can select patients for prolonged ECG monitoring after ischemic stroke to detect pAF. CLASSIFICATION OF EVIDENCE This study provides Class I evidence that the AS5F score accurately identifies patients with ischemic stroke at a higher risk of pAF.
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Affiliation(s)
- Timo Uphaus
- From the Department of Neurology (T.U., K.G.), and Institute of Medical Biostatistics, Epidemiology and Informatics (G.T., A.J.-E.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Cardiology and Pneumology (M.W.-K.), University of Göttingen; Clinic and Policlinic for Cardiology (R.W.), University Hospital Leipzig, Germany; Department of Neurology (M.G.), Kreisklinikum Siegen; Darmstadt University of Applied Sciences (A.J.-E.); Department of Neurology (M.J.), Hainich Klinikum, Mühlhausen, Germany; Institute of Cardiovascular Sciences (P.K.), University of Birmingham; and Department of Cardiology (P.K.), SWBH and UHB NHS Trusts, Birmingham, UK
| | - Mark Weber-Krüger
- From the Department of Neurology (T.U., K.G.), and Institute of Medical Biostatistics, Epidemiology and Informatics (G.T., A.J.-E.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Cardiology and Pneumology (M.W.-K.), University of Göttingen; Clinic and Policlinic for Cardiology (R.W.), University Hospital Leipzig, Germany; Department of Neurology (M.G.), Kreisklinikum Siegen; Darmstadt University of Applied Sciences (A.J.-E.); Department of Neurology (M.J.), Hainich Klinikum, Mühlhausen, Germany; Institute of Cardiovascular Sciences (P.K.), University of Birmingham; and Department of Cardiology (P.K.), SWBH and UHB NHS Trusts, Birmingham, UK
| | - Martin Grond
- From the Department of Neurology (T.U., K.G.), and Institute of Medical Biostatistics, Epidemiology and Informatics (G.T., A.J.-E.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Cardiology and Pneumology (M.W.-K.), University of Göttingen; Clinic and Policlinic for Cardiology (R.W.), University Hospital Leipzig, Germany; Department of Neurology (M.G.), Kreisklinikum Siegen; Darmstadt University of Applied Sciences (A.J.-E.); Department of Neurology (M.J.), Hainich Klinikum, Mühlhausen, Germany; Institute of Cardiovascular Sciences (P.K.), University of Birmingham; and Department of Cardiology (P.K.), SWBH and UHB NHS Trusts, Birmingham, UK
| | - Gerrit Toenges
- From the Department of Neurology (T.U., K.G.), and Institute of Medical Biostatistics, Epidemiology and Informatics (G.T., A.J.-E.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Cardiology and Pneumology (M.W.-K.), University of Göttingen; Clinic and Policlinic for Cardiology (R.W.), University Hospital Leipzig, Germany; Department of Neurology (M.G.), Kreisklinikum Siegen; Darmstadt University of Applied Sciences (A.J.-E.); Department of Neurology (M.J.), Hainich Klinikum, Mühlhausen, Germany; Institute of Cardiovascular Sciences (P.K.), University of Birmingham; and Department of Cardiology (P.K.), SWBH and UHB NHS Trusts, Birmingham, UK
| | - Antje Jahn-Eimermacher
- From the Department of Neurology (T.U., K.G.), and Institute of Medical Biostatistics, Epidemiology and Informatics (G.T., A.J.-E.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Cardiology and Pneumology (M.W.-K.), University of Göttingen; Clinic and Policlinic for Cardiology (R.W.), University Hospital Leipzig, Germany; Department of Neurology (M.G.), Kreisklinikum Siegen; Darmstadt University of Applied Sciences (A.J.-E.); Department of Neurology (M.J.), Hainich Klinikum, Mühlhausen, Germany; Institute of Cardiovascular Sciences (P.K.), University of Birmingham; and Department of Cardiology (P.K.), SWBH and UHB NHS Trusts, Birmingham, UK
| | - Marek Jauss
- From the Department of Neurology (T.U., K.G.), and Institute of Medical Biostatistics, Epidemiology and Informatics (G.T., A.J.-E.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Cardiology and Pneumology (M.W.-K.), University of Göttingen; Clinic and Policlinic for Cardiology (R.W.), University Hospital Leipzig, Germany; Department of Neurology (M.G.), Kreisklinikum Siegen; Darmstadt University of Applied Sciences (A.J.-E.); Department of Neurology (M.J.), Hainich Klinikum, Mühlhausen, Germany; Institute of Cardiovascular Sciences (P.K.), University of Birmingham; and Department of Cardiology (P.K.), SWBH and UHB NHS Trusts, Birmingham, UK
| | - Paulus Kirchhof
- From the Department of Neurology (T.U., K.G.), and Institute of Medical Biostatistics, Epidemiology and Informatics (G.T., A.J.-E.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Cardiology and Pneumology (M.W.-K.), University of Göttingen; Clinic and Policlinic for Cardiology (R.W.), University Hospital Leipzig, Germany; Department of Neurology (M.G.), Kreisklinikum Siegen; Darmstadt University of Applied Sciences (A.J.-E.); Department of Neurology (M.J.), Hainich Klinikum, Mühlhausen, Germany; Institute of Cardiovascular Sciences (P.K.), University of Birmingham; and Department of Cardiology (P.K.), SWBH and UHB NHS Trusts, Birmingham, UK
| | - Rolf Wachter
- From the Department of Neurology (T.U., K.G.), and Institute of Medical Biostatistics, Epidemiology and Informatics (G.T., A.J.-E.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Cardiology and Pneumology (M.W.-K.), University of Göttingen; Clinic and Policlinic for Cardiology (R.W.), University Hospital Leipzig, Germany; Department of Neurology (M.G.), Kreisklinikum Siegen; Darmstadt University of Applied Sciences (A.J.-E.); Department of Neurology (M.J.), Hainich Klinikum, Mühlhausen, Germany; Institute of Cardiovascular Sciences (P.K.), University of Birmingham; and Department of Cardiology (P.K.), SWBH and UHB NHS Trusts, Birmingham, UK
| | - Klaus Gröschel
- From the Department of Neurology (T.U., K.G.), and Institute of Medical Biostatistics, Epidemiology and Informatics (G.T., A.J.-E.), University Medical Center of the Johannes Gutenberg University Mainz; Department of Cardiology and Pneumology (M.W.-K.), University of Göttingen; Clinic and Policlinic for Cardiology (R.W.), University Hospital Leipzig, Germany; Department of Neurology (M.G.), Kreisklinikum Siegen; Darmstadt University of Applied Sciences (A.J.-E.); Department of Neurology (M.J.), Hainich Klinikum, Mühlhausen, Germany; Institute of Cardiovascular Sciences (P.K.), University of Birmingham; and Department of Cardiology (P.K.), SWBH and UHB NHS Trusts, Birmingham, UK.
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Labenz C, Baron JS, Toenges G, Schattenberg JM, Nagel M, Sprinzl MF, Nguyen-Tat M, Zimmermann T, Huber Y, Marquardt JU, Galle PR, Wörns MA. Prospective evaluation of the impact of covert hepatic encephalopathy on quality of life and sleep in cirrhotic patients. Aliment Pharmacol Ther 2018; 48:313-321. [PMID: 29863286 DOI: 10.1111/apt.14824] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Revised: 04/23/2018] [Accepted: 05/07/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND Minimal hepatic encephalopathy (HE) and HE grade 1 (HE1) according to the West Haven criteria have recently been grouped as one entity named-covert HE- (CHE). Data regarding the impact of CHE on health-related quality of life (HRQoL) and sleep quality are controversial. AIM First, to determine whether CHE affects HRQoL and sleep quality of cirrhotic patients and second, whether minimal HE (MHE) and HE1 affect HRQoL and sleep quality to a comparable extent. METHODS A total of 145 consecutive cirrhotic patients were enrolled. HE1 was diagnosed clinically according to the West Haven criteria. Critical flicker frequency and the Psychometric Hepatic Encephalopathy Score were used to detect MHE. Chronic Liver Disease Questionnaire (CLDQ) was used to assess HRQoL and Pittsburgh Sleep Quality Index (PSQI) was applied to assess sleep quality. RESULTS Covert HE was detected in 59 (40.7%) patients (MHE: n = 40; HE1: n = 19). Multivariate analysis identified CHE (P < 0.001) and female gender (P = 0.006) as independent predictors of reduced HRQoL (CLDQ total score). CHE (P = 0.021), low haemoglobin (P = 0.024) and female gender (P = 0.003) were identified as independent predictors of poor sleep quality (PSQI total score). Results of CLDQ and PSQI were comparable in patients with HE1 and MHE (CLDQ: 4.6 ± 0.9 vs 4.5 ± 1.2, P = 0.907; PSQI: 11.3 ± 3.8 vs 9.9 ± 5.0, P = 0.3). CONCLUSION Covert HE was associated with impaired HRQoL and sleep quality. MHE and HE1 affected both outcomes to a comparable extent supporting the use of CHE as a clinically useful term for patients with both entities of HE in clinical practice.
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Affiliation(s)
- C Labenz
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - J S Baron
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - G Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - J M Schattenberg
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - M Nagel
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - M F Sprinzl
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - M Nguyen-Tat
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - T Zimmermann
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - Y Huber
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - J U Marquardt
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - P R Galle
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
| | - M-A Wörns
- Department of Internal Medicine I, University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.,Cirrhosis Centre Mainz (CCM), University Medical Centre of the Johannes Gutenberg-University, Mainz, Germany
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25
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Graetz C, Gröger A, Luessi F, Salmen A, Zöller D, Schultz J, Siller N, Fleischer V, Bellenberg B, Berthele A, Biberacher V, Havla J, Hecker M, Hohlfeld R, Infante-Duarte C, Kirschke JS, Kümpfel T, Linker R, Paul F, Pfeuffer S, Sämann P, Toenges G, Weber F, Zettl UK, Jahn-Eimermacher A, Antony G, Groppa S, Wiendl H, Hemmer B, Mühlau M, Lukas C, Gold R, Lill CM, Zipp F. Association of smoking but not HLA-DRB1*15:01, APOE or body mass index with brain atrophy in early multiple sclerosis. Mult Scler 2018. [PMID: 29532745 DOI: 10.1177/1352458518763541] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND The course of multiple sclerosis (MS) shows substantial inter-individual variability. The underlying determinants of disease severity likely involve genetic and environmental factors. OBJECTIVE The aim of this study was to assess the impact of APOE and HLA polymorphisms as well as smoking and body mass index (BMI) in the very early MS course. METHODS Untreated patients ( n = 263) with a recent diagnosis of relapsing-remitting (RR) MS or clinically isolated syndrome underwent standardized magnetic resonance imaging (MRI). Genotyping was performed for single-nucleotide polymorphisms (SNPs) rs3135388 tagging the HLA-DRB1*15:01 haplotype and rs7412 (Ɛ2) and rs429358 (Ɛ4) in APOE. Linear regression analyses were applied based on the three SNPs, smoking and BMI as exposures and MRI surrogate markers for disease severity as outcomes. RESULTS Current smoking was associated with reduced gray matter fraction, lower brain parenchymal fraction and increased cerebrospinal fluid fraction in comparison to non-smoking, whereas no effect was observed on white matter fraction. BMI and the SNPs in HLA and APOE were not associated with structural MRI parameters. CONCLUSIONS Smoking may have an unfavorable effect on the gray matter fraction as a potential measure of MS severity already in early MS. These findings may impact patients' counseling upon initial diagnosis of MS.
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Affiliation(s)
- Christiane Graetz
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Adriane Gröger
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Felix Luessi
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Anke Salmen
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany; Department of Neurology, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Daniela Zöller
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany/Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Janine Schultz
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Nelly Siller
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Vinzenz Fleischer
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Barbara Bellenberg
- Department of Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Achim Berthele
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Viola Biberacher
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany/TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Joachim Havla
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilians University, Munich, Germany
| | - Michael Hecker
- Department of Neurology, University of Rostock, Rostock, Germany
| | - Reinhard Hohlfeld
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilians University, Munich, Germany/Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Carmen Infante-Duarte
- NeuroCure Clinical Research Center, Department of Neurology and Experimental and Clinical Research Center and Max Delbrück Center for Molecular Medicine, Charité-University Medicine Berlin, Berlin, Germany
| | - Jan S Kirschke
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilians University, Munich, Germany
| | - Ralf Linker
- Department of Neurology, University Hospital Erlangen, Erlangen, Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center, Department of Neurology and Experimental and Clinical Research Center and Max Delbrück Center for Molecular Medicine, Charité-University Medicine Berlin, Berlin, Germany
| | - Steffen Pfeuffer
- Department of Neurology, University of Münster, Münster, Germany
| | | | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frank Weber
- Max Planck Institute of Psychiatry, Munich, Germany; Neurological Clinic, Medical Park, Bad Camberg, Germany
| | - Uwe K Zettl
- Department of Neurology, University of Rostock, Rostock, Germany
| | - Antje Jahn-Eimermacher
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany/Darmstadt University of Applied Sciences, Darmstadt, Germany
| | - Gisela Antony
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilians University, Munich, Germany
| | - Sergiu Groppa
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Heinz Wiendl
- Department of Neurology, University of Münster, Münster, Germany
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany/Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany/TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Carsten Lukas
- Department of Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Ralf Gold
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Christina M Lill
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany/Genetic and Molecular Epidemiology Group, Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Frauke Zipp
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
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26
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Uphaus T, Weber-Krüger M, Grond M, Toenges G, Jahn-Eimermacher A, Jauss M, Kirchhof P, Wachter R, Gröschel K. Abstract WP200: Development and Validation of a Score to Detect Paroxysmal Atrial Fibrillation During Long-term Holter-monitoring After Acute Ischemic Stroke. Stroke 2018. [DOI: 10.1161/str.49.suppl_1.wp200] [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: 11/16/2022]
Abstract
Introduction:
Atrial fibrillation remains one of the most common causes of ischemic stroke. The diagnosis of paroxysmal atrial fibrillation (pAF) frequently escapes routine diagnostic due to its intermittent and asymptomatic occurrence. Currently prolonged monitoring times (72h) are recommended, but did not find their way into everyday practice. Therefore an individual patient selection for prolonged ECG-monitoring might increase the diagnostic yield of pAF in a resource-saving and cost-effective manner.
Methods:
We used individual patient data from three prospective studies (n
total
=1556) which performed a prolonged Holter ECG-monitoring (at least 72 h) and centralized data evaluation after ischemic stroke (IDEAS 72h monitoring, Find-AF 7 days and Find-AF
randomised
3 times 10 days
monitoring) in patients presenting with sinus rhythm. The score was developed on the IDEAS cohort and internally (bootstrapping) and externally (Find-AF and Find-AF
randomised
data) validated following the TRIPOD guideline.
Results:
pAF was detected in 77 of 1556 patients (49 (4.3%) IDEAS, 20 (9.0%) Find-AF, 8 (4.0%) Find-AF
randomized
). After logistic regression analysis with variable selection, age and the qualifying stroke event (categorised as stroke with NIH-SS <=5 (OR 2.4; 95%CI 0.8-6.9, p=0.112) or stroke with NIH-SS >5 (OR 7.2; 95% CI 2.4-21.8, p<0.001) were found to be predictive for the detection of pAF within the prolonged Holter monitoring and were included in the final score (
A
ge,
S
troke
S
everity: NIHSS >
5
,
ASS5
). The score was shown to keep its discriminative performance (IDEAS, AUC 0.76) on the external validation cohort (Find-AF, Find-AF-randomized, AUC 0.75). When ASS5-score and CHADS2-score were applied to classify patients into high and low-risk patients according to the score’s particular Youden-index, the ASS5-score was statistically significant better in discriminating between high- and low-risk patients than the CHADS
2
-score (NRI 0.22 with p=0.047; ROC-AUC 0.75 for ATISS5 and 0.61 for CHADS
2
-Score with p = 0.0032).
Conclusion:
ASS5-score can be used by clinicians to select patients for prolonged ECG-monitoring after ischemic stroke to detect pAF.
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Affiliation(s)
- Timo Uphaus
- Univ Med Cntr of the Johannes Gutenberg Univ Mainz, Mainz, Germany
| | - Mark Weber-Krüger
- Dept of Cardiology and Pneumology, Univ of Göttingen, Göttingen, Germany
| | - Martin Grond
- Dept of Neurology, Kreisklinikum Siegen, Siegen, Germany
| | - Gerrit Toenges
- 4Institute of Med Biostatistics, Epidemiology and Informatics, Univ Med Cntr of the Johannes Gutenberg Univ Mainz, Mainz, Germany
| | - Antje Jahn-Eimermacher
- Institute of Med Biostatistics, Epidemiology and Informatics, Univ Med Cntr of the Johannes Gutenberg Univ Mainz, Mainz, Germany
| | - Marek Jauss
- 5Dept of Neurology, Hainich Klinikum, Mühlhausen, Germany
| | | | - Rolf Wachter
- Dept of Cardiology and Pneumology, Univ of Göttingen, Göttingen, Germany
| | - Klaus Gröschel
- Dept of Neurology, Univ Med Cntr of the Johannes Gutenberg Univ Mainz, Mainz, Germany
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27
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Zimmermann A, Zwerenz R, Droste M, Schöfl C, Strasburger CJ, Plöckinger U, Ziagaki A, Honegger J, Dixius A, Millaku B, Toenges G, Beutel ME, Weber MM. Personality Traits and Physical Complaints in Patients With Acromegaly: A Cross Sectional Multi-Center Study With Analysis of Influencing Factors. Front Endocrinol (Lausanne) 2018; 9:391. [PMID: 30065700 PMCID: PMC6056634 DOI: 10.3389/fendo.2018.00391] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [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: 04/12/2018] [Accepted: 06/25/2018] [Indexed: 11/14/2022] Open
Abstract
Objective: Acromegalic patients display a distinct neuropsychological profile and suffer from chronic physical complaints. We aimed to investigate in more detail these aspects in acromegalic patients, dependent on influencing factors like disease activity, age, sex, chronic medication, surgery, pituitary radiation, pituitary insufficiency and comorbidities. Design: Cross sectional, multicentric. Methods: 129 patients (M/W 65/64, 58.3 ± 12.7 years, 53/76 with active/controlled disease). Acromegalic patients completed the following inventories: NEO-FFI, IIP-D, and the Giessen Complaints List (GBB-24), after written informed consent. Age, sex, IGF-1 concentrations, comorbidities, treatment modalities and pituitary insufficiency were documented. Results: Acromegalic patients or specific patient-subgroups were more agreeable, neurotic, exploitable/permissive, introverted/socially avoidant, non-assertive/insecure, nurturant and less open to experience, cold/denying, domineering, compared to normal values from the healthy population (controls). Multivariable analysis demonstrated that these overall results were due to the specific patient subgroups as patients on chronic medication, with arthrosis and pituitary insufficiency. Disease activity was only associated with the trait nurturant. Higher scores for introversion were associated with arthrosis. Lower domineering was independent of any disease- or treatment related variable or comorbidity. The GBB inventory showed overall higher scores in patients, with higher scores for exhaustion and general complaints being associated with pituitary insufficiency, coronary heart disease and history of malignancy in the multivariable analysis. Joint complaints were independent of any disease- or treatment- related variable. Conclusions: We define new aspects of a distinct neuropsychological profile in patients with acromegaly, which are largely independent of disease activity. Chronic physical complaints are more pronounced in patients than in controls, with exhaustion and general complaints showing no association with disease activity.
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Affiliation(s)
- Anca Zimmermann
- Department of Endocrinology and Metabolic Diseases, 1. Medical Clinic, University Medical Center, Mainz, Germany
- *Correspondence: Anca Zimmermann
| | - Rüdiger Zwerenz
- Clinic and Polyclinic for Psychosomatic Medicine and Psychotherapy, University Medical Center, Mainz, Germany
| | - Michael Droste
- Endocrinology and Diabetology Praxis, Oldenburg, Germany
| | | | | | - Ursula Plöckinger
- Interdisciplinary Center of Metabolism: Endocrinology, Diabetes and Metabolism, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Athanasia Ziagaki
- Interdisciplinary Center of Metabolism: Endocrinology, Diabetes and Metabolism, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Jürgen Honegger
- Neurosurgery Clinic, University of Tübingen, Tübingen, Germany
| | - Anne Dixius
- Department of Endocrinology and Metabolic Diseases, 1. Medical Clinic, University Medical Center, Mainz, Germany
| | - Bledar Millaku
- Department of Endocrinology and Metabolic Diseases, 1. Medical Clinic, University Medical Center, Mainz, Germany
| | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics, University of Mainz, Mainz, Germany
| | - Manfred E. Beutel
- Clinic and Polyclinic for Psychosomatic Medicine and Psychotherapy, University Medical Center, Mainz, Germany
| | - Matthias M. Weber
- Department of Endocrinology and Metabolic Diseases, 1. Medical Clinic, University Medical Center, Mainz, Germany
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28
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Misas-Villamil JC, Toenges G, Kolodziejek I, Sadaghiani AM, Kaschani F, Colby T, Bogyo M, van der Hoorn RAL. Activity profiling of vacuolar processing enzymes reveals a role for VPE during oomycete infection. Plant J 2013; 73:689-700. [PMID: 23134548 DOI: 10.1111/tpj.12062] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2012] [Accepted: 10/24/2012] [Indexed: 05/23/2023]
Abstract
Vacuolar processing enzymes (VPEs) are important cysteine proteases that are implicated in the maturation of seed storage proteins, and programmed cell death during plant-microbe interactions and development. Here, we introduce a specific, cell-permeable, activity-based probe for VPEs. This probe is highly specific for all four Arabidopsis VPEs, and labeling is activity-dependent, as illustrated by sensitivity for inhibitors, pH and reducing agents. We show that the probe can be used for in vivo imaging and displays multiple active isoforms of VPEs in various tissues and in both monocot and dicot plant species. Thus, VPE activity profiling is a robust, simple and powerful tool for plant research for a wide range of applications. Using VPE activity profiling, we discovered that VPE activity is increased during infection with the oomycete pathogen Hyaloperonospora arabidopsidis (Hpa). The enhanced VPE activity is host-derived and EDS1-independent. Sporulation of Hpa is reduced on vpe mutant plants, demonstrating a role for VPE during compatible interactions that is presumably independent of programmed cell death. Our data indicate that, as an obligate biotroph, Hpa takes advantage of increased VPE activity in the host, e.g. to mediate protein turnover and nutrient release.
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Affiliation(s)
- Johana C Misas-Villamil
- Plant Chemetics Laboratory, Max Planck Institute for Plant Breeding Research, 50829, Cologne, Germany
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