Sept. 18, 2006 -- Certain combinations of 13 common lab test results predict death in healthy people over 70.
The finding comes from a detailed study of 1,189 remarkably healthy 70-something men and women, originally studied as examples of successful. Twelve years later, about half of these people were dead.
Was there some way these deaths could have been predicted? UCLA researcher Tara L. Gruenewald, PhD, and colleagues analyzed results from 13 lab tests performed when these men and women first entered the study.
These "biomarkers" covered risk factors for blood pressure), tests of immune activation, tests for stress and steroidal hormones, and tests for metabolic factors (such as good and bad cholesterol).(such as
Certain combinations of lab tests formed "trees" of death. For example, there were 28 deaths among 30 people in one particularly lethal "tree." This tree was a combination of high levels of adrenal hormones and high levels of C-reactive protein or CRP. CRP is linked to chronic immune activation, which is thought to underlie several different diseases.
People in two or three of these trees, it turned out, were living in a statistical forest of death.
"We found a variety of combinations that predict mortality, but certain combinations appeared frequently," Gruenewald tells WebMD. "Typically these were markers of immune activation, including CRP. And also stress hormones."
The findings appear in the Sept. 19 issue of the Proceedings of the National Academy of Sciences.
Gerontologist Robert McCann, MD, of the University of Rochester, N.Y., praises the Gruenewald team's work.
"We have known for years that a lot of these biomarkers can predict higher mortality," McCann tells WebMD. "What we don't know -- and what this work addresses -- is how these biomarkers can combine with each other to make better predictions."
Gruenewald says -- and McCann agrees -- that the study findings, while an important step in the right direction, aren't ready for prime time.
I don't think our data at this point suggests that doctors should start looking at all the biomarkers in this study," Gruenewald says. "But we should start considering the value of each one of these markers in the context of the value of another."
The main goal, Gruenewald and McCann agree, isn't predicting death. It's saving life.
If your lab tests point to a bad constellation of biomarkers, it isn't time to start making out your will -- it's time to make a change.
"One reason we looked at these biomarkers is they are all responsive to life experiences and lifestyle: things like exercise, diet, exposure to stress, not having excess weight," Gruenewald says. "We wanted to look at markers of how an individual's life experience and lifestyle can affect health. Just because a certain combination of biomarkers predicts earlier death does not mean they cannot be changed in a positive direction."
McCann says the findings, in combination with breakthroughs in understanding the genetic basis of common diseases, is leading to an era of individualized medicine.
"We will see a lot in next five to 10 years that will help us tailor treatments to individual patients," McCann says. "Studies like this are taking us to that goal."