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Cardiometabolic Research in the Center for Health Discovery and Well Being at Emory University Cardiometabolic Research in the Center for Health Discovery and Well Being at Emory University The Imminent Revolution in Healthcare Emir Veledar PhD, Arshed Quyyumi MD, Jennifer Vazquez, MS, Lynn Cunningham, MS, MBA, Kenneth Brigham, MD Emory University *Division of Cardiology;** Predictive Health Institute
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Predictive Health the concept
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in both biomedical research and clinical care is spent on organ and disease focused activities even though end organ failure is often an irreversible process. A third of the Medicare budget is spent in the last year of life and a third of that amount is spent in the last month of life. Research with this focus results in dramatic but increasingly expensive interventions that often have problematic effects on quality of life. The majority of resources
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to maintain health rather than to treat disease. implementing general interventions that epidemiological evidence indicates will improve health—“preventive medicine”---in health care systems. New programs of this sort with novel titles are appearing at major academic institutions. shifting emphasis away from end organ failure and toward health maintenance in the health care continuum. That shift will gather momentum if improved efficiency and cost/benefit become more apparent. Goal for Health system
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for biomedical research has been slower to develop. There is a need to focus the formidable power of the research enterprise- basic, translational and clinical on developing a positive definition of health in quantitative terms and on developing an evidence base for novel health care paradigms that promise improved cost effectiveness. The shift in focus of biomedical research
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This would provide essential tools for health surveillance, risk assessment and premorbid diagnosis as well as the knowledge base for interventions in essentially healthy people that would preclude progression to end organ failure. The shift from disease to health
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Predictive Health Definition “Predictive Health anticipates the course of an individual’s health status, based on leading edge science and technology, and prescribes interventions that proactively optimize wellness” “ This revolutionary approach will move from a reactive disease focused system to a pro active health focused system; disease becomes a medical failure”
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The Health/Disease Continuum Normal Low risk Normal High risk Pre disease Early disease Late disease Predictive Health Contemporary Medicine HEALTHHEALTH DISEASEDISEASE
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Predictive Health and Public Health Congruence Protecting health: The territory
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Role of Academic Health Centers in the Health Care Transition ◦Multiple disciplines within one organization ◦Creative mindset Strong research base ◦Capacity to foster (and direct) collaborative, interdisciplinary research on a large scale ◦Catalyst for translational research – integrated basic science, healthcare, public health, and other necessary, supporting disciplines ◦Objectivity about national economic issues ◦Organized voice in national debate
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Predictive Health: Systemic Implications Education ◦General public ◦Politicians ◦Health care professionals Economics ◦Government ◦Insurers Information technology
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The Emory-Georgia Tech Predictive Health Institute
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Predictive Health Institute Themes Define and measure health Invent/discover optimal biomarkers of health Identify optimal interventions to optimize health Determine how to apply this new knowledge to individuals and populations
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Generic Pathways Specific Diseases Cardiovascular Diseases Chronic Lung Diseases Diabetes Cancer Neurological Diseases Determinants of Health Environment Genetics Behavior Oxidative Stress Development and Senescence Regeneration and Repair Other Generic Pathways Immunology and Inflammation Technologies Genomics/ Metabolomics/ Proteomics Molecular Imaging Bioinformatics Nanomedicine Quantitative Medicine Novel Therapeutics Education Disciplines Finance and Economics Public Policy Ethics Systems Biology Population Biology
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The Emory Georgia Tech Center for Health Discovery and Well Being A partnership of discovery ◦Discovering individual health ◦Expanding knowledge of human health in general A new health care paradigm ◦Health focused ◦Merging health care and research A grand experiment ◦Inventing a new health care model
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Emory-Georgia Tech Center for Health Discovery and Well Being
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Assessment: The Surveys Surveys collect information about Mental, Emotional & Spiritual health Health Symptoms, Exposure, Behavior & Physical Activity Nutrition, Supplements & Medications Stress, Anxiety, Depression & Sleep Patterns Copyright 2005-2008 Emory University
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Assessment: Instrumentation Resting Blood Pressure and Heart Rate Anthropometrics & Body Composition % body fat Lean Body Mass Bone Mineral Density Treadmill Fit Testing Vascular Testing Arterial thickness Arterial elasticity Central Blood Pressure Copyright 2005-2008 Emory University
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Assessment Laboratory Studies More than 50 different lab tests Known biomarkers Endocrine Health Immune Health Metabolic Health Inflammation Health Nutrition Status Research biomarkers Oxidation Status Inflammation Status Immune Function Regenerative Capacity Copyright 2005-2008 Emory University
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Health Assessment Report Compilation of results from assessments Includes instructions about how to interpret Includes comparison norms (age, gender, etc.) Includes general health education and resources Take home tool Copyright 2005-2008 Emory University
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Health Action Planning Collaboration with their Predictive Health Partner Participant empowerment & engagement in goal setting What does this mean for the participant Work-life balance Nutrition Physical activity Mental and emotional health Spiritual health Health risk behaviors Personalized Health Action Plan (internal/external resources) Follow up assessments
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Role of Predictive Health Partner Relationship Builder Facilitator Consultant Educator Translator Confidant Specialist Collaborator Navigator
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Predictive Health Research The Cardiometabolic Study
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dyslipidemia, insulin resistance, elevated blood pressure and obesity/overweight commonly referred to as the metabolic syndrome. tend to cluster and clearly confer increased risk for the development of atherosclerosis and consequent cardiovascular pathology Cardiometabolic Risk Factors and the Metabolic Syndrome
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Coincident with the “epidemic” of overweight/obesity in the United States portending an increase in cardiovascular morbidity and mortality in the future. The syndrome is characterized by increased biomarkers of inflammation and oxidative stress even prior to development of cardiovascular morbidity (Kaya 2009, Dawood 2009). Improved diet and regular exercise have been shown to be effective in reducing various components of the metabolic syndrome (Ma 2009), but public health approaches to effecting such behavior changes have not prevented its increasing incidence
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Predictive Health The Imminent Revolution in Health Care
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A random sample of Emory’s 20,000 employees. Upwards of 300 participants completed an initial evaluation and have been assigned a Health Partner. follow up evaluations at 6 months and one year following enrollment. Drop out less than 2% Study Population
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characteristics of this cohort are similar to those of the overall Emory employee population: mean age=49+/-10 SD yrs; race- 71% white, 23% black, 5% other; gender- 65% female, 35% male. Income distribution covers the range of employees from $200K per annum household income. Demographics
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The five criteria (ATPIII) that are generally accepted for diagnosing the metabolic syndrome are: 1) waist circumference >=40 inches in men or >=35 inches in women; 2) serum triglycerides >=150 mg/dL or drug treatment for elevated triglycerides; 3) HDL-C <40mg/dL in men or <50mg/dL in women or drug treatment for reduced HDL-C; 4) systolic blood pressure >= 130 mmHg or diastolic blood pressure >=85mmHg or drug treatment for hypertension; and 5) fasting blood glucose >= 100 mg/dL or drug treatment for elevated blood glucose. Metabolic syndrome criteria
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But that is only a part of the story. A much larger number of healthy participants in this program are at significant cardiometabolic risk. Additional cardiometabolic risk
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Pilot data summary collected a broad range of health related information and established a “health profile” for this group. They are at significant cardiometabolic risk. They are accessible, recruitable and retention in the study is high. Initial analysis show significant improvements in cardiometabolic variables As well as other more general measures of health. To further define the nature and extent of cardiometabolic risk in this group of essentially healthy people
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Primary outcome variables for this study will be appropriate directional improvement in: Waist circumference Serum triglyceride concentration Serum high density lipoprotein (HDL-C) concentration Systolic or diastolic blood pressure Fasting blood glucose concentration
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Measurements of fundamental processes Markers of oxidative stress Markers of inflammation Progenitor cell populations Immune markers
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Measurements of cardiovascular structure/function Pulsatile arterial tonometry Arterial Stiffness/Compliance Additional measures of cardiovascular structure/function: Ultrasound-derived carotid artery intimal- medial thickness VO2max (symptom-limited treadmill exercise test) heart rate variability.
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Partner backgrounds: Minimum of a bachelor’s degree in a health science or related field. A broad range of backgrounds and skills are required to address the integrated complex issues of health definition and maintenance including a basic understanding of human biology. Some background in human behavior is also desirable.
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Training by the professional staff of the Center will cover the following areas: Predictive Health history, rationale and goals IRB and informed consent process CPR, AED training Customer relations Use of instruments and equipment in the Center Use and purpose of survey instruments Basic physiology, normal and abnormal test and survey results Empathetic and active listening Motivational interviewing Assessing readiness to change Collaborative goal setting Collaborative decision making Goal directed problem solving Elements of coaching, mentoring, supportive engagement
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The intervention Center process Health assessment and plan Nutrition Physical activity Stress reduction Personalization of the plan Other Partner activities Ongoing contact
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