Introduction to Cardiovascular Epidemiology
The CARDIAC Project

Richard W. Brant, MSIV

Table of Content
Cardiovascular Disease
Definition and Goals of Epidemiology
Basic Concepts
Spectrum of Disease
Incidence versus Prevalence
Causation
Prevention
The CARDIAC Project
Bibliography

Cardiovascular Disease

            Cardiovascular disease comprises the major disorders of the heart and arterial circulation supplying the heart, brain, and peripheral tissues (Labarthe 1998).  The extent of cardiovascular disease and it’s impact on the population of the United States is overwhelming.  Heart disease has been the leading cause of death in the United States since 1921 (MMWR 1999).  When combined with stroke, these diseases account for approximately 40% of all deaths.

            The impact of cardiovascular disease on the state of West Virginia has been even more devastating.  In 1995, the age-adjusted mortality rate due to heart disease was 328/100,000 which was 21% higher than the U.S. average.  There are many reasons for this discrepancy, most notably the large number of behavioral risk factors present in West Virginia.

            These figures demonstrate a much better trend in cardiovascular disease than could be present.  Since 1950, the age-adjusted death rates from cardiovascular disease have declined 60%.  Intensive investigation of the cardiovascular disease epidemic began in the 1940’s following World War II (MMWR 1999).  Many landmark epidemiological studies took place, including the Framingham Heart Study, which established the major risk factors of high serum cholesterol, hypertension, smoking, and dietary factors.  Other studies helped to demonstrate a link to socioeconomic status, obesity, and physical inactivity.

            It wasn’t until the 1960’s that early intervention studies began to ensue.  The primary goal was to determine whether lowering risk factor levels would reduce cardiovascular disease.  Two approaches were utilized to satisfy this goal.  One was a “high-risk” approach which was aimed specifically at those already deemed to be at high risk for disease.  The others were considered population-wide approaches which were aimed at lowering risk for entire communities.  These prevention efforts and improvements in early detection, treatment, and care have resulted in a number of beneficial trends (MMWR 1999):

·        A decline in cigarette smoking among adults aged greater than or equal to 18 years from 42% in 1965 to 25% in 1995.
·        A decrease in mean blood pressure levels in the U.S. population.
·        An increase in the percentage of persons with hypertension who have the condition treated and controlled.
·        A decrease in mean blood cholesterol levels.
·        Positive changes in the U.S. diet (decreased consumption of saturated fat and cholesterol).
·        Improvements in medical care (including diagnosis and treatment of heart disease).

            In spite of the advances being made in the United States and world-wide, declines in West Virginia for heart-rate mortality have been substantially lower.  While the rate of heart disease declined 44% nationwide between 1960 and 1990, the decline in West Virginia was only 32% (Thoenen 1993).  This has been attributed to the fact that West Virginians consistently report high prevalences of the risk factors associated with cardiovascular disease.

            The West Virginia Behavioral Risk Factor Survey has uncovered a significantly higher prevalence of hypertension, obesity, and sedentary lifestyle in West Virginia than in the United States.  Furthermore, West Virginia currently has the highest rate of obesity, the third highest rate of self-reported hypertension, and the fifth highest rate of cigarette smoking when compared to the other states.  Even though the link between high blood cholesterol and heart disease has been increasingly recognized among our citizens, more than one-third of adults in West Virginia reported in 1991 that they had never had their blood cholesterol level tested (Thoenen 1993).

            It is not difficult to grasp the impact of cardiovascular disease when presented with statistics such as these.  However, aside from the gross mortality perspective, cardiovascular disease also has a great effect on the economy.  In the United States, the cost of medical care alone for cardiovascular disease has been estimated as approximately $100 billion.  This figure corresponds to approximately 3% of the U.S. gross national product!

            It should now be evident just how large a role cardiovascular disease plays in every facet of society.  With the recent trend toward public health initiatives and preventive medicine, we have begun to make some progress in reducing the burden of cardiovascular disease.  This fact certainly instills confidence in those who have taken it upon themselves to attempt to lessen the effects of cardiovascular disease through screening programs, risk factor modification, and health promotion.

Definition and Goals of Epidemiology

            Why does a disease or condition affect some people but not others?  This is one of the basic questions that the study of epidemiology attempts to answer.  Epidemiology is defined as the study of the distribution of health and disease in groups of people and the study of factors that influence this distribution.  What does this definition really mean?  How does it pertain to me as a person and as a health sciences student?  These are the questions that will attempt to be answered in this essay.

            Epidemiology as a science has been around for many, many years, even since the time of Hippocrates.  In his work, On Airs, Waters, and Places, Hippocrates recommended that physicians “attend to the mode in which the inhabitants live and what are their pursuits, whether they are fond of drinking and eating to excess, and given to indolence, or are fond of exercise and labor, and not given to excess in eating and drinking” (Brownson 1998).  In so far as is known, this was the first time that disease was seen as something that could be affected by a person’s lifestyle. 

            Over the next 2,000 years diseases were slowly becoming better understood and categorized, but there was not much interest in their impact on populations.  It was not until 1662 that John Graunt began to analyze weekly births and deaths in London, quantifying disease in the population.  This was the true beginning of the science of  epidemiology. J. Lind, whose work in 1747 is now regarded as one of the first experimental trials ever undertaken, led to the discovery of a preventive measure against scurvy.  In 1839, William Farr became the superintendent of the Statistical Department of the Registrar General’s Office of England and Wales.  He is now considered the “founder of modern disease surveillance” (Brownson 1998) because of his work in collecting and reporting vital statistics.  One of the greatest early achievements of epidemiology was the work of John Snow from 1849-1854 which resulted in the halting of the cholera epidemic in London by discovering the source of the infection.  Many achievements such as these have come and gone since John Snow shut down the Broad Street water pump, but the true utility of epidemiology has only recently begun to become realized.

            The overall goals of epidemiology are simple.  The science attempts to understand the causes of disease in a population and what factors can be manipulated to improve the overall health of the group.  There are four major functions of epidemiology according to Terris (1992):

·        To discover the agent, host, and environmental factors which affect health, in order to elucidate the scientific basis for the prevention of disease and injury and the promotion of health.
·        To determine the relative importance of causes of illness, disability, and death, in order to establish priorities for research and action.
·        To identify those sectors of the population which have the greatest risk from specific causes of ill health, in order that the indicated action may be directed appropriately.
·        To evaluate the effectiveness of health programs and services in improving the health of the population.

As evident by the above four functions, the ultimate goal of epidemiology is geared toward improving the overall health of the population.  In order to better grasp the impact of this science on our daily personal and professional lives, we have to be able to clearly understand some of the basic concepts.

Basic Concepts

            First we must define disease (and health) so we can see exactly what it is that epidemiologists strive to achieve when studying populations at risk.  The terms disease, illness, and sickness are sometimes thrown around rather haphazardly, as though they are synonymous.  According to Susser in 1973, the true definitions of these words are:

·        Disease – a medically definable physiological or psychological dysfunction.
·        Illness – what the patient with disease experiences.
·        Sickness – the state of dysfunction of the social role of a person with a disease.

The term health is defined according to mainstream medicine as the “absence of disease.”  The World Health Organization expanded on this definition in 1948 by defining health as “a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity.” (Gerstman 1998).  When studying health and disease, epidemiologists examine both morbidity and mortality.  Morbidity is defined as events related to or caused by disease or disability.  Mortality is simply events and factors related to death.  In attempting to gain insight into a disease process, factors which increase or decrease morbidity and mortality must be ascertained.

Spectrum of Disease

            Another concept which is important to understand is the spectrum of disease.  Any disease can display a whole range of levels of severity.  Some diseases remain silent in some individuals, yet progressive and fulminating in others. In chronic, noninfectious disease, this range is known as the spectrum of disease (Gerstman 1998). This range of manifestation is known as the gradient of infection when dealing with infectious disease.    A good example of this is coronary artery disease which can exist in one of many different stages:  asymptomatic atherosclerosis, transient ischemia secondary to compromised coronary circulation, myocardial infarction and death.

            It is this spectrum of disease which has led to one of the most famous metaphors of epidemiology: the Iceberg Metaphor.  Similar to large icebergs in the ocean, most of the problems due to a certain disease may be hidden from view (or clinical examination).  Again using the example of cardiovascular disease, many people with this disease never suffer a single symptom until their first heart attack.  It should now be readily apparent why the study of factors associated with disease is so important.

Incidence versus Prevalence

            Next, it is important to understand the concepts of incidence and prevalence.  Incidence describes the extent that people, within a population who do not have the disease, develop the disease during a specific time period.  The key to determining incidence is to look at the number of new cases of a disease in a specific population over a specific period of time.  High levels of incidence would tend to support the presence of an epidemic (Timmreck 1994).  Prevalence is defined as the number of individuals in a population that have the disease or condition at a certain point in time.

Causation

            Now that we have a firm grasp of the basic concepts of health and disease, including how they are measured within a population, we can discuss the more in-depth topics of disease causation and risk factors.  There are many factors which can influence the spread, severity, incidence, and prevalence of a disease in a population.  These factors, if when present result in an increase in disease, are termed causal factors.  A more technical definition of a causal factor would be “any event, condition, or characteristic that increases the likelihood of disease, caeteris paribus (all other things being equal)” (Gerstman 1998).  Observational study searches for these cause-effect relationships.

            There are three forms of causation:  a sufficient cause, a necessary cause, and a risk factor.  Sufficient cause implies that if the cause is present, the disease will occur.  This relationship rarely exists in human populations.  The definition of necessary cause is found to be true more often when discussing infectious disease.  If a necessary cause is absent, the disease cannot occur.  For example, one cannot contract measles if the virus is not present in the body.  The third form of causation, which is of greatest interest here, is the risk factor.  A risk factor is a characteristic which, if present and active, clearly increases the probability of a particular disease in a group of persons who have the factor compared to an otherwise similar group of persons who do not (Jekel 1996).  A risk factor is not, however, a necessary or sufficient cause.  For example, a person that smokes is at greater risk for coronary artery disease, but smoking in itself is neither a sufficient nor a necessary cause of coronary artery disease.

            This is a good time in the discussion to clarify a point.  When does a factor that is associated with a disease become a true risk factor?  To understand this concept, it is necessary to discuss the term association.  There are three forms of association (Jekel 1996):

·        Direct causal association – is present when the factor under consideration exerts its effect without external factors.  For example, a fall down a flight of stairs will cause injury without other causes being required.
·        Indirect causal association – occurs when one factor influences one or more other factors which are, in turn, directly causal.  For example, poverty may not directly cause disease, but by preventing adequate nutrition, housing, and medical care, it may lead to ill health and a higher risk of premature death.
·        Noncausal association – is present when a statistical association is present, but there is no proof of causation.  For example, if a statistically significant association is found between two variables but the presumed cause occurs after the effect, rather than before it, the association is noncausal.

For a factor to be determined to be causal, or to be defined as a risk factor, it must be present significantly more often in persons with the disease than in persons without the disease.

            There is another concept concerning risk factors that is necessary to know:  the difference between modifiable and non-modifiable risk factors.  A modifiable risk factor is one that can be controlled, or changed to a certain degree.  These include things like diet, level of physical activity, tobacco use, and obesity.  These factors can be modified with education and effort.  A non-modifiable risk factor, on the other hand, cannot be changed.  Examples include a person’s age, race, and genetic make-up.  Other examples would include a person’s family history other co-morbid conditions of a genetic etiology, such as diabetes.  Since no change can be made to non-modifiable risk factors, most prevention efforts are geared toward the modifiable ones.

            When discussing the causation of disease, it is important to keep in mind all of the factors that can influence the causal relationship.  Epidemiologists simplify this interaction by considering the factors of the agent, host and the environment.  This comprises the so-called Triangle of Epidemiology:

ENVIRONMENT
HOST AGENT

In order to understand the triangle, one must have an understanding of the individual terms used.  The agent is the external factor which aids in the production of the disease.  This is easier to comprehend when discussing infectious disease, as the agent would then simply be the causal organism.  Agent factors can also apply to chronic disease – a high fat diet can be considered a biologic agent when discussing coronary artery disease.  The host is the organism which harbors the disease, in the case of CAD, the human patient.  Host factors generally refer to factors which increase the susceptibility of disease in the patient.  Again considering coronary artery disease, host factors would consist of things like age, race, genetic predisposition, and overall level of fitness.  Social behavior is also considered a host agent.  Environmental factors are those which influence the probability and circumstances of contact between the host and the agent (Jekel 1996).  Poor sanitation, violent neighborhoods, even a poor economy which leads to some level of malnutrition can all be considered environmental factors.

Prevention

            Now we have a handle on some of the more basic terms that we need to be familiar with in order to jump to the next step in this discussion:  Prevention.  The ultimate “aim of epidemiology is in support of major and key public health activities of prevention and control of diseases in populations.” (Timmreck 1994).  With today’s focus on preventive medicine and public health, it is crucial to understand exactly what prevention is and how it is implemented in society.  There are three levels of prevention:  primary, secondary, and tertiary, (known as Leavell’s Levels).  Primary prevention focuses on preventing the disease process from ever occurring by eliminating the causal factor or increasing resistance in the host.  Secondary prevention interrupts the disease process by detecting and treating it in the asymptomatic stage.  Tertiary prevention limits the physical impairment and social consequences from symptomatic disease.

Primary prevention aims to promote overall health in the population and to specifically protect the population against some disease processes.  Examples of specific active forms of primary prevention include immunization and antimicrobial drug use.  More relevant to this discussion are the more subtle forms of primary prevention which include the education of populations at risk on how to prevent the disease process from ever taking place, similar to the goals of the CARDIAC Project.  These education efforts can include nutrition counseling, environmental risk modification, and behavioral counseling.

            Secondary prevention refers to the act of diagnosing a disease process while in the asymptomatic stage and treating it at that point.  If you remember the Iceberg Metaphor from above, you can appreciate just how important this level of prevention can be.  Imagine all of the people with atherosclerotic heart disease which could be helped if their disease process was discovered early enough.  It is this level of prevention in which screening programs play a large role.  Screening is the process of identifying a group of people who are at high risk for having asymptomatic disease or who have a risk factor that puts them at high risk for developing a disease or becoming injured (Jekel 1996).  Screening usually takes place in a community setting.  A screening test is employed which helps to uncover those in the population which are at high risk of developing a disease.  It is important to note at this point that a screening test is not diagnostic of the disease, but only identifies a person at high risk.  When a positive screening test is found, a diagnostic test must follow it.  For example, a fingerstick cholesterol measurement is a screening test.  If the total cholesterol is found to be elevated, a more in-depth diagnostic test should be undertaken, specifically a fasting lipid profile.  If the diagnostic test is also found to be abnormal, a specific treatment protocol can be initiated to eliminate or reduce the probability of the disease process progressing.

            There are several requirements which must be met before a screening program can be considered appropriate (Jekel 1996).

·        The disease must be serious enough to warrant a screening program.
·        There must be an effective therapy already in existence for the disease if it is detected.  It would be useless to discover a disease process in a person if no effective therapy existed for it.
·        There must be a sufficient latent period to allow for detection and the ability to effectively treat or even cure a disease.
·        The disease must not be too rare or too common.
·        The screening test must be reasonably quick, easy, and inexpensive.
·        The test must be safe and acceptable to both the population being screened and their physicians.
·        The sensitivity, specificity, and predictive value must be known and acceptable.
·        There must be adequate follow-up for all persons who have positive results in the screening test.
·        The population screened must have access to treatment.
·        The treatment must be acceptable to those being screened.
·        The population to be screened must be clearly defined, so the resulting data will be epidemiologically useful.

The CARDIAC Project

            The epidemiology and prevention of cardiovascular disease involves the understanding of the causes, identification of means of prevention, and monitoring of populations to assess the changing burden of the disease and the measurable impact of interventions to control them (Labarthe 1998).  It has been shown and is now widely accepted that the atherosclerotic process begins in childhood.  It has been shown through various studies that approximately 30% of the population has atherosclerotic changes present in their vessels by the age of 20 (Labarthe 1998).

These findings have led to further investigation of the onset and progression of atherosclerosis from childhood.  The most famous of the resulting studies was the Bogalusa, Louisiana study by Berenson in the 1970’s.  This study set out to uncover the presence of factors related to atherosclerotic disease present in school age children. The major accomplishments of the Bogalusa Heart Study can be summarized as follows (Berenson 1991):

·        Discovery that the major etiologies of adult heart disease, atherosclerosis, coronary heart disease, and essential hypertension begin in childhood.  Documented changes occur by 5 to 8 years of age.
·        Cardiovascular risk factors can be identified in early life.
·        Environmental factors are significant and influence hyperlipidemia, hypertension and smoking.
·        Lifestyles and behaviors that influence cardiovascular risk are learned and begin early in life.

            These discoveries led to the now widely held belief that intervention should begin in childhood if there is to be a real impact on the incidence of cardiovascular disease in adults (Berenson 1991).

            The Coronary Artery Risk Detection in Appalachian Communities (CARDIAC) Project is based upon this premise.  It is designed to examine the effectiveness of universal blood cholesterol screening in rural Appalachia to identify children and their parents at risk of developing premature coronary heart disease (CHD).  The study consists of obtaining a family history, a physical activity, dietary and anxiety profile, non-fasting finger stick blood cholesterol, blood pressure, and anthropometric measurements from pre-pubertal children across West Virginia.

            If the blood cholesterol test is abnormal (>200mg/dL), a fasting lipid profile is drawn from the subject (and the subject’s parents) to assay for dyslipidemia.  If this is found to be present, a referral is made to the family’s primary care physician or the patient can visit one of several consultative preventive cardiology clinics around the state for follow-up care and the development of a treatment plan.  Subjects are informed of a proper nutritional plan for CHD prevention as well as risk factor education concerning tobacco avoidance and the importance of exercise, etc.

            There are several overall aims of the CARDIAC Project.  One is to establish the first statewide cardiovascular disease community intervention project in the nation by the year 2003.  The most ambitious goal is to decrease the age-adjusted rate of death due to heart disease in West Virginia to the national average by the year 2010.  This is based upon the premise that identification of dyslipidemic children will provide the opportunity to identify parents at risk of developing premature CHD, and to interrupt the inevitable sequelae of unhealthy lifestyle factors by health promotion and the introduction of concepts of wellness.

Bibliography

Berenson, G.S. et al.  Cardiovascular Risk in Early Life: The Bogalusa Heart Studv. 
            Current Concepts.  Kalamazoo, MI: The Upjohn Company, 1991.

Brownson, Ross C., Petitti, Diana B. Applied Epidemiology: Theory to Practice.  New
            York: Oxford University Press, 1998.

Centers for Disease Control. Achievements in Public Health, 1900-1999: Decline in
            Deaths from Heart Disease and Stroke - United States, 1900-1999. MMWR
            1999; 48:649-656.

Centers for Disease Control.Mortality Patterns - United States, 1997. MMWR 1999;
            48: 664-668.

Fletcher, Robert H., Fletcher, Suzanne W., Wagner, Edward H. Clinical Epidemiology:
            The Essentials, Baltimore. MD: Williams and Wilkins, 1996.

Gerstman, B. Burt. Epidemiology Kept Simple. New York: Wiley-Liss, 1998.

Gordis, Leon. Epidemiology. Philadelphia, PA: W.B. Saunders Company, 1996.

Jekel, James F., et al. Epidemiology, Biostatistics, and Preventive Medicine.
            Philadelphia, PA: W.B. Saunders Company, 1996.

Larbarthe, Darwin R. Epidemiology and Prevention of Cardiovascular Disease.
            Gaithersburg, MD: Aspen Publishers, 1998

Thoenen, E. et a], Heart Disease and Stroke: Cardiovascular Disease in West Virginia.
            Charleston, WV: The Health Statistics Center, 199J.

Timmreek, Thomas C. An Introduction to Epidemiology. Boston: Jones and Bartlett,
            1994.

Wassertheil-Smoller, Sylvia. Biostatistics and Epidemiology. New York: Springer
            Verlag, 1990.