The German COPD cohort COSYCONET: Aims, methods and descriptive analysis of the study population at baseline

The German COPD cohort study COSYCONET (“COPD and SYstemic consequences-COmorbidities NETwork”) investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010 to 2013 in 31 study centers. In addition to the baseline visit, follow-up visits are...

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Published inRespiratory medicine Vol. 114; pp. 27 - 37
Main Authors Karch, Annika, Vogelmeier, Claus, Welte, Tobias, Bals, Robert, Kauczor, Hans-Ulrich, Biederer, Jürgen, Heinrich, Joachim, Schulz, Holger, Gläser, Sven, Holle, Rolf, Watz, Henrik, Korn, Stephanie, Adaskina, Nina, Biertz, Frank, Vogel, Charlotte, Vestbo, Jørgen, Wouters, Emiel F.M., Rabe, Klaus Friedrich, Söhler, Sandra, Koch, Armin, Jörres, Rudolf A.
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.05.2016
Elsevier Limited
Subjects
Online AccessGet full text
ISSN0954-6111
1532-3064
1532-3064
DOI10.1016/j.rmed.2016.03.008

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Abstract The German COPD cohort study COSYCONET (“COPD and SYstemic consequences-COmorbidities NETwork”) investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010 to 2013 in 31 study centers. In addition to the baseline visit, follow-up visits are scheduled at 6, 18, 36 and 54 months after baseline. The study also comprises a biobank, image bank, and includes health economic data. Here we describe the study design of COSYCONET and present baseline data of our COPD cohort. Inclusion criteria were broad in order to cover a wide range of patterns of the disease. In each visit, patients undergo a large panel of assessments including e.g. clinical history, spirometry, body plethysmography, diffusing capacity, blood samples, 6-min walk-distance, electrocardiogram and echocardiography. Chest CTs are collected if available and CTs and MRIs are performed in a subcohort. Data are entered into eCRFs and subjected to several stages of quality control. Overall, 2741 subjects with a clinical diagnosis of COPD were included (59% male; mean age 65 ± 8.6 years (range 40–90)). Of these, 8/35/32/9% presented with GOLD stages I–IV; 16% were uncategorized, including the former GOLD-0 category. 24% were active smokers, 68% ex-smokers and 8% never-smokers. Data completeness was 96% for the baseline items. The German COPD cohort comprises patients with advanced and less advanced COPD. This is particularly useful for studying the time course of COPD in relation to comorbidities. Baseline data indicate that COSYCONET offers the opportunity to investigate our research questions in a large-scale, high-quality dataset. •The German COPD cohort COSYCONET has completed recruitment with 2741 patients.•The focus is on analyzing the association between COPD and comorbidities.•Patients of all severity stages incl. “GOLD 0” were enrolled, 59% male, mean age 65.•Baseline data quality is very good with >95% completeness.•Regular follow-up visits of up to 4.5 years are still ongoing.
AbstractList The German COPD cohort study COSYCONET (“COPD and SYstemic consequences-COmorbidities NETwork”) investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010 to 2013 in 31 study centers. In addition to the baseline visit, follow-up visits are scheduled at 6, 18, 36 and 54 months after baseline. The study also comprises a biobank, image bank, and includes health economic data. Here we describe the study design of COSYCONET and present baseline data of our COPD cohort. Inclusion criteria were broad in order to cover a wide range of patterns of the disease. In each visit, patients undergo a large panel of assessments including e.g. clinical history, spirometry, body plethysmography, diffusing capacity, blood samples, 6-min walk-distance, electrocardiogram and echocardiography. Chest CTs are collected if available and CTs and MRIs are performed in a subcohort. Data are entered into eCRFs and subjected to several stages of quality control. Overall, 2741 subjects with a clinical diagnosis of COPD were included (59% male; mean age 65 ± 8.6 years (range 40–90)). Of these, 8/35/32/9% presented with GOLD stages I–IV; 16% were uncategorized, including the former GOLD-0 category. 24% were active smokers, 68% ex-smokers and 8% never-smokers. Data completeness was 96% for the baseline items. The German COPD cohort comprises patients with advanced and less advanced COPD. This is particularly useful for studying the time course of COPD in relation to comorbidities. Baseline data indicate that COSYCONET offers the opportunity to investigate our research questions in a large-scale, high-quality dataset. •The German COPD cohort COSYCONET has completed recruitment with 2741 patients.•The focus is on analyzing the association between COPD and comorbidities.•Patients of all severity stages incl. “GOLD 0” were enrolled, 59% male, mean age 65.•Baseline data quality is very good with >95% completeness.•Regular follow-up visits of up to 4.5 years are still ongoing.
The German COPD cohort study COSYCONET ("COPD and SYstemic consequences-COmorbidities NETwork") investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010 to 2013 in 31 study centers. In addition to the baseline visit, follow-up visits are scheduled at 6, 18, 36 and 54 months after baseline. The study also comprises a biobank, image bank, and includes health economic data. Here we describe the study design of COSYCONET and present baseline data of our COPD cohort. Inclusion criteria were broad in order to cover a wide range of patterns of the disease. In each visit, patients undergo a large panel of assessments including e.g. clinical history, spirometry, body plethysmography, diffusing capacity, blood samples, 6-min walk-distance, electrocardiogram and echocardiography. Chest CTs are collected if available and CTs and MRIs are performed in a subcohort. Data are entered into eCRFs and subjected to several stages of quality control. Overall, 2741 subjects with a clinical diagnosis of COPD were included (59% male; mean age 65 ± 8.6 years (range 40-90)). Of these, 8/35/32/9% presented with GOLD stages I-IV; 16% were uncategorized, including the former GOLD-0 category. 24% were active smokers, 68% ex-smokers and 8% never-smokers. Data completeness was 96% for the baseline items. The German COPD cohort comprises patients with advanced and less advanced COPD. This is particularly useful for studying the time course of COPD in relation to comorbidities. Baseline data indicate that COSYCONET offers the opportunity to investigate our research questions in a large-scale, high-quality dataset.
Background The German COPD cohort study COSYCONET ("COPD andSYstemic consequences-COmorbiditiesNETwork") investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010 to 2013 in 31 study centers. In addition to the baseline visit, follow-up visits are scheduled at 6, 18, 36 and 54 months after baseline. The study also comprises a biobank, image bank, and includes health economic data. Here we describe the study design of COSYCONET and present baseline data of our COPD cohort. Methods Inclusion criteria were broad in order to cover a wide range of patterns of the disease. In each visit, patients undergo a large panel of assessments including e.g. clinical history, spirometry, body plethysmography, diffusing capacity, blood samples, 6-min walk-distance, electrocardiogram and echocardiography. Chest CTs are collected if available and CTs and MRIs are performed in a subcohort. Data are entered into eCRFs and subjected to several stages of quality control. Results Overall, 2741 subjects with a clinical diagnosis of COPD were included (59% male; mean age 65 ± 8.6 years (range 40-90)). Of these, 8/35/32/9% presented with GOLD stages I-IV; 16% were uncategorized, including the former GOLD-0 category. 24% were active smokers, 68% ex-smokers and 8% never-smokers. Data completeness was 96% for the baseline items. Conclusion The German COPD cohort comprises patients with advanced and less advanced COPD. This is particularly useful for studying the time course of COPD in relation to comorbidities. Baseline data indicate that COSYCONET offers the opportunity to investigate our research questions in a large-scale, high-quality dataset.
The German COPD cohort study COSYCONET ("COPD and SYstemic consequences-COmorbidities NETwork") investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010 to 2013 in 31 study centers. In addition to the baseline visit, follow-up visits are scheduled at 6, 18, 36 and 54 months after baseline. The study also comprises a biobank, image bank, and includes health economic data. Here we describe the study design of COSYCONET and present baseline data of our COPD cohort.BACKGROUNDThe German COPD cohort study COSYCONET ("COPD and SYstemic consequences-COmorbidities NETwork") investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010 to 2013 in 31 study centers. In addition to the baseline visit, follow-up visits are scheduled at 6, 18, 36 and 54 months after baseline. The study also comprises a biobank, image bank, and includes health economic data. Here we describe the study design of COSYCONET and present baseline data of our COPD cohort.Inclusion criteria were broad in order to cover a wide range of patterns of the disease. In each visit, patients undergo a large panel of assessments including e.g. clinical history, spirometry, body plethysmography, diffusing capacity, blood samples, 6-min walk-distance, electrocardiogram and echocardiography. Chest CTs are collected if available and CTs and MRIs are performed in a subcohort. Data are entered into eCRFs and subjected to several stages of quality control.METHODSInclusion criteria were broad in order to cover a wide range of patterns of the disease. In each visit, patients undergo a large panel of assessments including e.g. clinical history, spirometry, body plethysmography, diffusing capacity, blood samples, 6-min walk-distance, electrocardiogram and echocardiography. Chest CTs are collected if available and CTs and MRIs are performed in a subcohort. Data are entered into eCRFs and subjected to several stages of quality control.Overall, 2741 subjects with a clinical diagnosis of COPD were included (59% male; mean age 65 ± 8.6 years (range 40-90)). Of these, 8/35/32/9% presented with GOLD stages I-IV; 16% were uncategorized, including the former GOLD-0 category. 24% were active smokers, 68% ex-smokers and 8% never-smokers. Data completeness was 96% for the baseline items.RESULTSOverall, 2741 subjects with a clinical diagnosis of COPD were included (59% male; mean age 65 ± 8.6 years (range 40-90)). Of these, 8/35/32/9% presented with GOLD stages I-IV; 16% were uncategorized, including the former GOLD-0 category. 24% were active smokers, 68% ex-smokers and 8% never-smokers. Data completeness was 96% for the baseline items.The German COPD cohort comprises patients with advanced and less advanced COPD. This is particularly useful for studying the time course of COPD in relation to comorbidities. Baseline data indicate that COSYCONET offers the opportunity to investigate our research questions in a large-scale, high-quality dataset.CONCLUSIONThe German COPD cohort comprises patients with advanced and less advanced COPD. This is particularly useful for studying the time course of COPD in relation to comorbidities. Baseline data indicate that COSYCONET offers the opportunity to investigate our research questions in a large-scale, high-quality dataset.
Background The German COPD cohort study COSYCONET ("COPD and SYstemic consequences-COmorbidities NETwork") investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010 to 2013 in 31 study centers. In addition to the baseline visit, follow-up visits are scheduled at 6, 18, 36 and 54 months after baseline. The study also comprises a biobank, image bank, and includes health economic data. Here we describe the study design of COSYCONET and present baseline data of our COPD cohort. Methods Inclusion criteria were broad in order to cover a wide range of patterns of the disease. In each visit, patients undergo a large panel of assessments including e.g. clinical history, spirometry, body plethysmography, diffusing capacity, blood samples, 6-min walk-distance, electrocardiogram and echocardiography. Chest CTs are collected if available and CTs and MRIs are performed in a subcohort. Data are entered into eCRFs and subjected to several stages of quality control. Results Overall, 2741 subjects with a clinical diagnosis of COPD were included (59% male; mean age 65 plus or minus 8.6 years (range 40-90)). Of these, 8/35/32/9% presented with GOLD stages I-IV; 16% were uncategorized, including the former GOLD-0 category. 24% were active smokers, 68% ex-smokers and 8% never-smokers. Data completeness was 96% for the baseline items. Conclusion The German COPD cohort comprises patients with advanced and less advanced COPD. This is particularly useful for studying the time course of COPD in relation to comorbidities. Baseline data indicate that COSYCONET offers the opportunity to investigate our research questions in a large-scale, high-quality dataset.
Abstract Background The German COPD cohort study COSYCONET (“ CO PD and SY stemic consequences- CO morbidities NET work”) investigates the interaction of lung disease, comorbidities and systemic inflammation. Recruitment took place from 2010-2013 in 31 study centers. In addition to the baseline visit, follow-up visits are scheduled at 6, 18, 36 and 54 months after baseline. The study also comprises a biobank, image bank, and includes health economic data. Here we describe the study design of COSYCONET and present baseline data of our COPD cohort. Methods Inclusion criteria were broad in order to cover a wide range of patterns of the disease. In each visit, patients undergo a large panel of assessments including e.g. clinical history, spirometry, body plethysmography, diffusing capacity, blood samples, 6-minute walk-distance, electrocardiogram and echocardiography. Chest CTs are collected if available and CTs and MRIs are performed in a subcohort. Data are entered into eCRFs and subjected to several stages of quality control. Results Overall, 2741 subjects with a clinical diagnosis of COPD were included (59% male; mean age 65±8.6 years (range 40-90)). Of these, 8/35/32/9% presented with GOLD stages I-IV; 16% were uncategorized, including the former GOLD-0 category. 24% were active smokers, 68% ex-smokers and 8% never-smokers. Data completeness was 96% for the baseline items. Conclusion The German COPD cohort comprises patients with advanced and less advanced COPD. This is particularly useful for studying the time course of COPD in relation to comorbidities. Baseline data indicate that COSYCONET offers the opportunity to investigate our research questions in a large-scale, high-quality dataset.
Author Korn, Stephanie
Watz, Henrik
Adaskina, Nina
Gläser, Sven
Biederer, Jürgen
Koch, Armin
Wouters, Emiel F.M.
Biertz, Frank
Vogelmeier, Claus
Söhler, Sandra
Schulz, Holger
Rabe, Klaus Friedrich
Welte, Tobias
Vogel, Charlotte
Kauczor, Hans-Ulrich
Heinrich, Joachim
Holle, Rolf
Vestbo, Jørgen
Karch, Annika
Bals, Robert
Jörres, Rudolf A.
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  givenname: Claus
  surname: Vogelmeier
  fullname: Vogelmeier, Claus
  organization: Department of Respiratory Medicine, University of Marburg, University Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research, Baldingerstraße, 35043 Marburg, Germany
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  givenname: Joachim
  surname: Heinrich
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  surname: Watz
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  organization: Pulmonary Department, Mainz University Hospital, Langenbeckstrasse 1, 55131 Mainz, Germany
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  surname: Biertz
  fullname: Biertz, Frank
  organization: Institute for Biostatistics, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany
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  givenname: Charlotte
  surname: Vogel
  fullname: Vogel, Charlotte
  organization: Institute for Biostatistics, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany
– sequence: 16
  givenname: Jørgen
  surname: Vestbo
  fullname: Vestbo, Jørgen
  organization: Centre for Respiratory Medicine and Allergy, Institute for Inflammation and Repair, University of Manchester, Southmoor Rd, Manchester M23 9LT, UK
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  givenname: Emiel F.M.
  surname: Wouters
  fullname: Wouters, Emiel F.M.
  organization: Department of Respiratory Medicine, Maastricht University Medical Center, P. Debyelaan 25, 6202 AZ Maastricht, The Netherlands
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  givenname: Klaus Friedrich
  surname: Rabe
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  organization: ASCONET Study Coordination Office, University of Marburg, Baldingerstraße, 35043 Marburg, Germany
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  email: koch.armin@mh-hannover.de
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  givenname: Rudolf A.
  surname: Jörres
  fullname: Jörres, Rudolf A.
  email: rudolf.joerres@med.uni-muenchen.de
  organization: Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Ludwig-Maximilians-Universität München, Ziemssenstr. 1, 80336 Munich, Germany
BackLink https://www.ncbi.nlm.nih.gov/pubmed/27109808$$D View this record in MEDLINE/PubMed
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Keywords Study design
Cohort
Comorbidity
Systemic inflammation
COPD
systemic inflammation
cohort
comorbidity
study design
Language English
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Snippet The German COPD cohort study COSYCONET (“COPD and SYstemic consequences-COmorbidities NETwork”) investigates the interaction of lung disease, comorbidities and...
Abstract Background The German COPD cohort study COSYCONET (“ CO PD and SY stemic consequences- CO morbidities NET work”) investigates the interaction of lung...
The German COPD cohort study COSYCONET ("COPD and SYstemic consequences-COmorbidities NETwork") investigates the interaction of lung disease, comorbidities and...
Background The German COPD cohort study COSYCONET ("COPD andSYstemic consequences-COmorbiditiesNETwork") investigates the interaction of lung disease,...
Background The German COPD cohort study COSYCONET ("COPD and SYstemic consequences-COmorbidities NETwork") investigates the interaction of lung disease,...
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SubjectTerms Adult
Age
Aged
Aged, 80 and over
Asthma
Cardiovascular disease
Chronic obstructive pulmonary disease
Cohort
Cohort Studies
Colleges & universities
Comorbidity
COPD
Diabetes
Disease Progression
Female
Follow-Up Studies
Germany - epidemiology
Humans
Inflammation
Male
Medical imaging
Metabolic disorders
Middle Aged
Morphology
Mortality
NMR
Nuclear magnetic resonance
Observational Studies as Topic
Osteoporosis
Population
Prospective Studies
Pulmonary Disease, Chronic Obstructive - diagnostic imaging
Pulmonary Disease, Chronic Obstructive - epidemiology
Pulmonary Disease, Chronic Obstructive - pathology
Pulmonary/Respiratory
Risk Factors
Severity of Illness Index
Smoking - epidemiology
Study design
Systemic inflammation
Systemic Inflammatory Response Syndrome - metabolism
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Title The German COPD cohort COSYCONET: Aims, methods and descriptive analysis of the study population at baseline
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