Presentation is loading. Please wait.

Presentation is loading. Please wait.

Design Alternatives and Opportunities for Studies in Cardiovascular Disease Epidemiology Virginia J. Howard, PhD School of Public Health University of.

Similar presentations


Presentation on theme: "Design Alternatives and Opportunities for Studies in Cardiovascular Disease Epidemiology Virginia J. Howard, PhD School of Public Health University of."— Presentation transcript:

1 Design Alternatives and Opportunities for Studies in Cardiovascular Disease Epidemiology Virginia J. Howard, PhD School of Public Health University of Alabama at Birmingham

2 Spectrum of Evidence (and progression of understanding) Initial observations (clinical observations & ecological studies) Observational epidemiology – Case/control studies Advantage: Efficient study of rare diseases Disadvantage: Subject to many biases – Cross-sectional studies Advantage: Relatively inexpensive and fast Disadvantage: Direction of causality – Longitudinal cohort studies Advantage: Solves direction of causality Disadvantage: Requires follow-up of a sufficient number of events Randomized clinical trials: the gold standard

3 The Beginning of Modern Cardiovascular Epidemiology: 1948

4 Framingham Heart Study In 1948 NHLBI established clinic and invited 5,200 town residents to come to the clinic to be evaluated Kept clinic active, and re-evaluated cohort at roughly 3-year intervals to identify: – Incident cardiovascular disease (CVD) including heart disease and stroke – Incident risk factors and/or change in risk factors The paradigm for the longitudinal cohort study – Identified and/or refined description of most risk factors (lipids, hypertension, diabetes, smoking, etc.) – Developed risk prediction models for both stroke and heart disease – Actually coined the term risk factor Subsequently gave rise to the Framingham Family Study (early genetics work) Became the model for most CVD epidemiological studies for the National Heart Lung and Blood Institute (NHLBI)

5 Children of the Framingham Study Examples of Observational Cohorts Stratified by Age CARDIA (Coronary Artery Risk Development in Young Adults) – 5,000 B/W participants aged 18-30 recruited 1985-1986 in 4 sites, stratified by race, sex, education ARIC (Atherosclerosis Risk in Communities) – 16,000 B/W participants aged 45-64 recruited between 1986 – 1990 from 4 sites, blacks primarily from one site CHS (Cardiovascular Health Study) – 6,000 primarily white participants aged 65+ recruited 1985

6 Children of the Framingham Study Examples of Studies of Specific Populations Honolulu Heart Study – American men of Japanese ancestry born 1900- 1919, leaving on island of Oahu in 1965 – Ages 28-62, N=8000, 5 exams through 1996 Strong Heart Study – American Indians in 13 communities in Arizona, Oklahoma, South/North Dakota,1988-2000 MESA (Multiethnic Study of Atherosclerosis) – Ages 45-84, N=6500, W/B, Hispanics, Chinese-A – Subclinical markers of atherosclerosis

7 Children of the Framingham Study Examples of Studies of Specific Populations JHS (Jackson Heart Study) – 6500 black participants recruited as part of ARIC supplemented by additional participants – Ages 35-84, enrolled 1999-2005 – All recruited in Jackson, Mississippi HCHS/SOL (Hispanic Community Study / Study of Latinos) – 16,000 Hispanic Participants in 4 US sites – Completed enrollment 2012 – Cuban, Mexican, Puerto Rican, Central/Southern American

8 Summary of Framingham and its Children Studies Whether done by age, race/ethnic group – Selected a community-based cohort – Brought the participants into a limited number of central clinics (generally 4-6) for evaluation – Followed cohort with subsequent telephone and revaluation in the clinic (frequently at 3-4 year intervals)

9 Selected advantages of the Framingham Paradigm Longitudinal cohort study: powerful approach for both predictors of incident events and incident risk factors Participants identification with the study can enhance retention Allows incorporation of complex evaluations of subclinical disease (e.g., intimal medial thickness, coronary calcium, etc.) to reduce sample size Control of clinic allows collection of data with high quality control

10 Selected disadvantages of the Framingham Paradigm Cost limits size of the cohort (clinics are expensive!) – Requires reliance on subclinical measures of disease as an outcome (that may not be related to clinical events) – Limits ability to address novel (non main-effect) hypotheses such as interaction and mediation Geographic restrictions – Limits generalizability to national population – Cannot address geographic –specific hypotheses

11 Example of Geographic Challenges Hispanics are the fasting growing racial/ethnic group in the US There is high interest in assessing disparities between race/ethnic groups For stroke mortality in 2009 (white reference group) But still … are there differences in stroke incidence? Question has given rise to two population-based surveillance studies – Northern Manhattan Study (NOMAS) in New York City, studying whites, Hispanics and blacks – Brain Attack Surveillance in Corpus Christi (BASIC) in southern Texas, studying whites and Hispanics

12 Stroke Incidence Differences for Hispanics (and Blacks) (compared to white reference) Northern Manhattan Study (NOMAS) Brain Attack Surveillance in Corpus Christi (BASIC) Morgenstern LB. AJE 2004;160:376-383 IR H:W = 1.24 (1.12, 1.37) IR H:W = 2.11 IR B:W = 2.40 Sacco RL. AJE 1998;147:259268.

13 … but wait a minute Nationally, stroke mortality in Hispanics is consistently lower than in whites Two well-done stroke studies show stroke incidence higher in Hispanics (albeit by a considerably different amount) How can this be happening? – Hispanic subpopulations? – Issues with vital statistics for the Hispanic population? – Confounding of racial/ethnic differences with geographic disparities?

14 Are Race Differences Confounded with Geography? Is it possible that a higher stroke incidence in Hispanics compared to whites is simply the confounding of race with geography? – In Manhattan, Hispanic stroke incidence is higher than white … but white stroke mortality in New York is literally the lowest in the nation for whites – In Nueces County (Texas), Hispanic stroke incidence is also higher than white … but Hispanic stroke mortality in Nueces County is among the highest in the nation for Hispanics There is no way to evaluate this possibility using the clinic-based Framingham paradigm

15 Attempts to Break the Framingham Paradigm (#1) Provide ability to move clinics Example: National Health and Nutritional Examination Survey (NHANES) – Multi-stage sample (random communities, random neighborhoods, random homes) – Clinic goes to the community (clinic on wheels) Advantages/Disadvantages – Advantages: can dramatically increase the number of sites … reducing the problem of generalizability – Disadvantages: at the end of the day … you can only partially address the issue (NHANES is in only 82 communities of the US) – and expensive

16 Attempts to Break the Framingham Paradigm (#2) Eliminate clinics and use remote assessment Example: Behavioral Risk Factor Surveillance System (BRFSS) (also Iowa Womens Health Study) – Obtained information from telephone interviews conducted by each state, choice of modules of interest – Cross-sectional assessment of health status, risk factors Advantage/Disadvantage – Advantage: can perform a huge sample of the entire US – Disadvantage: Self-reported conditions only Cross-sectional in nature (BRFSS only, follow-up is possible)

17 Attempts to Break the Framingham Paradigm (#3) Avoid clinics by the use of special pre-established cohorts Examples: Physicians Health Study (PHS) and Nurses Health Study (NHS) – Baseline self evaluation and follow-up of physicians and nurses Advantages/Disadvantages – Advantages: Large geographically dispersed cohort can be very efficiently evaluated – Disadvantages: Problematic generalizability to other populations

18 Our Attempts to Break the Framingham Paradigm There are immense geographic and racial (black versus white) disparities in stroke mortality Understanding of causes is poor Goal was to develop a national cohort: – Of sufficient size to allow assessment of novel hypotheses (interaction and mediation) Requires 1000+ stroke events That in turn requires 30,000+ participants That requires remarkable study efficiency – To provide geographic heterogeneity with oversampling of the southeastern Stroke Belt (goal 50%) – To provide oversampling of blacks (goal 50%)

19 REasons for Geographic And Racial Differences in Stroke (REGARDS) Study Population Longitudinal population-based cohort of 30,239 volunteers age 45 and older (goal was 30,000) Simple random sampling with geographic representation –56% from the stroke belt (goal was 50%) –44% from the rest of the contiguous US (goal 50%) Racial representation: 42% African American / 58% white (goal was 50/50%) Sex representation: 45% male / 55% female (goal was 50/50%)

20 White African American N = 30,239 REGARDS Participants

21 REGARDS Overview of a Novel Study Design to Meet Study Needs Central participant recruitment using mail and telephone Central computer-assisted telephone interview In-home evaluation for physical, venipuncture and ECG, signed consent form, self-administered forms: EMSI: Examination Management Services, Inc Central facilities Laboratory and repository for serum and urine samples: University of Vermont ECG Reading Center: Wake Forest University Central follow-up for detection of suspected stroke events p lus cognitive change(+ MI, VTE and fractures) Physician adjudication of stroke events

22 Types of Data From REGARDS Examples of Expected data – Questionnaire data on major CVD risk factors, HRQoL, depressive sx, stress, etc. – Lab data: lipids, glucose, insulin, CRP, creatinine, albumin, cystatin C, etc. – ECG for MI, atrial fibrillation, LVH – Self administered data for diet, family history of CVD – Follow-up data for incident stroke/MI events Examples of Novel data – Remarkable geographic heterogeneity – Longitudinal cognitive assessments – Residential history – Medication inventory – Links to satellite data on pollution weather – Direct measures of physical activity – Childhood assessment of SES Examples of data not present – Some interview data – Anything requiring complex equipment (carotid ultrasound, coronary calcium, etc)

23 Stroke Events in Major Studies StudySampleFollow-up Stroke Events ARIC (Ohira T, et al. Am J Epidemiol 2009;169:1437-1444) 12,096 black and white age 45-65 15 years577 CHS (Wong ND, et al, Am J Hypertension 2010;23:161-167) 5000 age 65+15 years437 NHANES (Giles, et al. Arch Intern Med 1995;155:1319-1324) 9,565 aged 45 – 7412 years660 Framingham (Salaycik KJ, et al. Stroke 2007;38:16-21) 5,8008 years144 REGARDS (Current) 30,000 age 45+5 years842 REGARDS (funding through 7/17) 30,000 age 45+8 years 1,300 (projected)

24 Age Distribution of REGARDS Participants 591 5,171 14,857

25 Conclusions to REGARDS Met goals: – National cohort with participants from 1,833 of the 3,033 counties in the US – Sample size of 30,239, s ufficient to address novel hypotheses (cost of $832/participant for first 5-year period) – Oversampling of blacks and stroke belt residents Advantages/Disadvantages – Advantages: well-positioned to provide (and are currently doing so) insights to the causes of disparities – Powered to use clinical endpoints as the outcome – Disadvantages Trades tight clinic-based quality control for national sample Cannot perform complex assessments

26 Central laboratory: University of Vermont; Drs. Mary Cushman, Neil Zakai, Nancy Jenny ECG Reading Center: Wake Forest University; Drs. Prineas, Soliman Migration Center: MUSC; Dr. Daniel Lackland Operations Center: UAB; Drs. George Howard, Virginia Howard, Leslie McClure, Virginia Wadley, Suzanne Judd, Monika Safford, Ella Temple, Neuroepidemiology Center: University of Cincinnati; Drs. Brett Kissela, Dawn Kleindorfer Psychology Center: University of Indiana; Dr. Fredrick Unverzagt Home Visit Center: Examination Medical Services, Inc.; Ms. Andra Graham REGARDS Functional Units Survey Design: University of Arkansas; Dr. LeaVonne Pulley Funding Agency: NINDS: Dr. Claudia Moy

27 NIH/NINDS U01 NS41588


Download ppt "Design Alternatives and Opportunities for Studies in Cardiovascular Disease Epidemiology Virginia J. Howard, PhD School of Public Health University of."

Similar presentations


Ads by Google