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CDC set to harness the predictive power of a medical family tree

The initiative would provide a standardized, computerized tool aimed at improving the value of family history in preventive medicine.


By Susan J. Landers, AMNews staff. Nov. 10, 2003.

 

Washington -- The fact that a patient's father died at 55 of a heart attack could make the 50-year-old patient more receptive to his physician's oft-repeated recommendations to exercise more, shed those extra pounds and get his cholesterol checked.

 

Since family history is a known risk factor for coronary heart disease, as well as several other chronic diseases, the Centers for Disease Control and Prevention has launched a Family History Public Health Initiative that is intended to make the best possible use of such medical knowledge in determining a patient's risk level.

 

The CDC's Office of Genomics and Disease Prevention began thinking about what kind of genomic tools were ready for everyday use in doctors' offices about two years ago. As gene exploration continues, many potential medicine-shaping tools are still in the development stage. But not family history -- it's ready for prime time.

 

"We thought, family history really is a genomic tool in many senses, and it has been used in medical care for many years," said Paula Yoon, ScD, MPH, a CDC epidemiologist working on the initiative. "But taking a hard look at our medical system today, we realized that family history is underutilized in preventive medicine." Although most physicians collect data on a patient's family history of disease, it tends not to be standardized and is difficult for physicians to take advantage of, she added.

 

The information now collected may also lack some vital components, such as the age at which a relative developed a particular disease, whether it was a mother or a father and the diseases of siblings.

 

Within the next few years, the CDC plans to change that.

Family history is a known risk factor for coronary heart disease.

Researchers are now at work on a prototype computer-based survey that patients will complete in their homes or in their physicians' offices. The information they provide will be analyzed using built-in algorithms. Ultimately, a report will be generated summarizing a patient's level of risk for one or more specific diseases.

Working with a primary care physician, a patient could then be steered down a proper course of prevention or, if the risk level is particularly high, to a genetic counselor.

"Most of the time our genes and our environment are interacting to determine our risk," said Sharon Kardia, PhD, director of the University of Michigan's Public Health Genetics Program in Ann Arbor. "The public and health care professionals need to understand that we can alter our genetic risk by changing our environment." Dr. Kardia is a member of a CDC working group that is steering the initiative.

Designing the resource tools

A panel of experts that met last year and formed the working group determined that the prototype tool to collect the relevant data should include just six diseases at the start: heart disease, stroke, diabetes, breast cancer, ovarian cancer and colon cancer. Other diseases will be added as they are validated, said Dr. Yoon.

The group included diseases in which family history was an established risk factor, that carried a substantial public health burden, had a well-defined case definition and for which there was a high degree of recognition by relatives. They also chose diseases for which there were effective interventions as well as different interventions depending on the patient's level of risk, whether average, above average or much above average.

Heart disease, stroke, diabetes, and breast, ovarian and colon cancers are the first diseases to be covered.

Physicians will receive an electronic resource manual -- one that will likely be downloadable to PDAs -- to help guide selection of appropriate screenings and interventions that will be adapted from existing guidelines and common medical practice.

Three research centers were recently awarded funds to put the prototype through its paces in a clinical trial which is likely to commence a year from now, Dr. Yoon predicted.

Louise Acheson, MD, associate professor in family medicine and oncology at Case Western Reserve University School of Medicine in Cleveland, is leading one of the three centers. "We have a team of researchers in the family medicine department and in the Center for Human Genetics who have been interested for five or six years in ways to make it easier for patients and clinicians to systematically use family histories for their medical care," she said.

The use of a standardized and computerized tool to collect data will streamline the process and vastly trim the amount of time required in face-to-face physician-patient time. "We know that the average length of time that a doctor and patient are face to face in family medicine is about 10 minutes," she said. "If you want to take a detailed three-generation family history, it would take about 30 minutes."

Dr. Acheson and colleagues at Case Western will be working with the American Academy of Family Physicians' National Network for Family Practice and Primary Care Research when testing the prototype in clinical situations.

 

ADDITIONAL INFORMATION:
 

Lessons from the past

 

Diseases included in the early stages of the Family History Public Health Initiative share the following characteristics:

 
  • Substantial public health burden
  • Well-defined case definition
  • Awareness of disease among relatives
  • Accurate reporting by family members
  • Family history as established risk factor
  • Effective interventions for primary and secondary prevention
 

Source: American Journal of Preventive Medicine, February

 

Weblink

 

Centers for Disease Control and Prevention Office of Genomics and Disease Prevention's Family History Public Health initiative (www.cdc.gov/genomics/activities/famhx.htm)

 

American Academy of Family Physicians' National Network for Family Practice and Primary Care Research (www.aafp.org/x3201.xml)

Copyright 2003 American Medical Association. All rights reserved.


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