Current International Priorities in Health Research Opportunities for Epidemiology Henry Völzke The Risk Transition WHO 2009 The Obesity Map, 2008 www.hsph.harvard.edu Finucane et al.; Lancet 2011 WHO 2009 WHO 2009 Known Risk Factors for MI Yusuf et al., Lancet 2007 Keller et al., Nat Comm 2012 Risk Factors for Peptic Ulcer - wikipedia.org Stress Alcohol Smoking Diet Family History Society Science Epidemiology • • • • Disparities Health care allocation Preventive programs Prognosis • • • • Risk factors Predictors Interactions Subgroups Quelle: Nationalatlas Bundesrepublik Deutschland Life Expectancy RESEARCH NETWORK COMMUNITY MEDICINE Epidemiology Community Medicine Radiology Microbiology Clinical Chemistry Molecular Medicine SHIP SNiP Interventions Psychiatry Cardiology Dentistry Pneumology Dermatology Economics Neurology Gastroenterology Endocrinology Objectives 1. Prevalence and incidence of common risk factors and diseases 2. Associations and interactions among common risk factors, subclinical disorders and diseases Rügen Stralsund Nordvorpommern Greifswald Ostvorpommern Usedom SchleswigHolstein Hamburg Niedersachsen Mecklenburg Vorpommern Brandenburg Berlin SachsenAnhalt N= 4308 20-79 years SHIP-0 SHIP-1 SHIP-2 Baseline 5y Follow-up 10y Follow-up n= 4308 (68.8%) n= 3300 (84.5%) n= 2333 (63.5%) SHIP-TREND Baseline n= 4422 (50.3%) 1997-2001 2002-2006 2008-2012 Völzke et al.; Int J Epidemiol 2011 Hegenscheid et al.; Röfo 2009 Gloger et al.; Magn Resonance Tomography 2010 GWA Uric Acid Metabolomics Doering, et al. Nat Genetics 2008 10-year Trend BMI and Obesity Missing Teeth and Mortality Polzer et al., Int J Cardiol 2012 Publications 1-2 publications/ week, mean impact factor ~7 • Cardiovascular Disease (JAMA, Lancet, Nat Genetics, Circulation, JACC, Eur Heart J, • Metabolic Syndrome (Nature, Science, Nat Genetics, Diabetes, Diab Care, JCEM) • Gastroenterology (Nat Genetics, Gastroenterology, Gut, Hepatology, Am J Gastroenterol) • Thyroidology (JAMA, Arch Intern Med, Am J Hum Genetics, JCEM, Thyroid) • Psychiatry (JAMA, Nat Genetics, Am J Psychiatry, Biol Psychiatry, Mol Psychiatry) • Dentistry (Diab Care, Dent Res, J Clin Periodontol, Thromb Haemost, J Hypertens) • Haematology & Oncology (Nat Genetics, Blood, Am J Hum Genetics) • Neurology (Lancet, Nat Genetics, Arch Intern Med, Stroke) • Pneumology (Nat Genetics, Eur Respiratory J, Chest) • Nephrology (Nat Genetics, J Am Soc Nephrol, Kidney Int) • Epidemiology (Science, Am J Epidemiol, Int J Epidemiol, J Clin Epidemiol, Eur J Epidemiol) ATVB, Hypertension, Nat Rev Cardiol) Publications 1-2 publications/ week, mean impact factor 7 • Cardiovascular Disease (JAMA, Lancet, Nat Genetics, Circulation, JACC, Eur Heart J, • Metabolic Syndrome (Nature, Science, Nat Genetics, Diabetes, Diab Care, JCEM) • Gastroenterology (JAMA, Nat Genetics, Gastroenterology, Gut, Hepatology, Am J • Thyroidology (JAMA, Arch Intern Med, Am J Hum Genetics, JCEM, Thyroid) • Psychiatry (JAMA, Nat Genetics, Am J Psychiatry, Biol Psychiatry, Mol Psychiatry) • Dentistry (Diab Care, Dent Res, J Clin Periodontol, Thromb Haemost, J Hypertens) • Haematology & Oncology (Nat Genetics, Am J Hum Genetics) • Neurology (Lancet, Arch Intern Med, Stroke) • Pneumology (Nat Genetics, Eur Respiratory J, Chest) • Nephrology (Nat Genetics, J Am Soc Nephrol, Kidney Int) • Epidemiology (Int J Epidemiol, Am J Epidemiol, J Clin Epidemiol, Eur J Epidemiol) ATVB, Hypertension, Nat Rev Cardiol) Gastroenterol) Methods of Quality Management • Standard Operating Procedures for each examination method • Training of potential observers in hospitals and the SHIP examination center • Reader certification (2 x 25 images) – Intra- and Inter-Reader-Variability • Observer certification (2 x 12 volunteers before and 2 x 6 volunteers semiannually during the study) – Intra- and Inter-Observer-Variability • Calibration and re-certification • Paper-free data documentation • Semiannual quality reports to the Data Safety & Monitoring Committee Proband Management Tasks Training Certification Data Collection Communication Structures Quality Monitoring Data Clean-up Data Transfer Infrastructure (Devices, Computers, Facilities) Data Dictionary Web-based Certification System Data Monitoring System Recruitment of patient cohorts (in accordance with methods and quality standards of SHIP) Comparison to SHIP cohorts Cardiovascular Heart failure (systolic & diastolic) BASELINE Metabolism Metabolic syndrome & co-morbidities Comprehensive, standardized phenotyping Renal Renal insufficiency Subclinical and overt parameters Comparison to SHIP cohorts FOLLOW-UP Subclinical and overt phenotypes Morbidity Biobanking Cerebrovascular Stroke / TIA … OMICs Mortality The Vision International To build up an international consortium to collect multi-national population data Collaborative use of SHIP instruments for standardization and quality assurance To achieve best possible comparability of phenotypic data Bassett & Winter-Nelson 2010 Bassett & Winter-Nelson 2010 Potential Bias in Global Epi Research Measure Methodological Differences Obesity Self-reported? Measured? With or without clothes? Abdominal Obesity Correct position? Horizontal measurement? Observer certification? Diabetes Self-reported? Physician‘s diagnosis? Validated? Glucose & Lipids Fasting or not? Pre-analytic handling? Storage? Lab method? Goiter Ultrasound device and probe? Observer certification? Brain atrophy MR/CT device? Fasting or not? Reader certification? Even high-quality epidemiological studies usually take less care on external validity! International Santiago de Chile Pomerode voelzke@uni-greifswald.de