Researchers have developed a blood test which could predict your chance of dying in the next 10 years.
Scientists in Germany uncovered 14 biomarkers in blood that appear to affect the risk of death, after analysing 44,000 people.
The biomarkers are associated with everything from immunity and glucose control to circulating fat and inflammation.
A trial of the biomarkers found they were 83 per cent accurate at predicting whether someone would die in the following two to 16 years.
The scientists hope the results could lead to a blood test may one day be used to guide a patient’s treatment, such as assessing whether an elderly person is too frail for surgery.
Experts have called the study an ‘exciting step’ but stress much more research is required before a test can be used in ‘real life’.
Doctors are generally able to predict if a person will die within the next year based on factors like their blood pressure and cholesterol levels.
However, gauging a person’s mortality risk over the next five to 10 years is more ‘cumbersome’, the team wrote in the journal Nature Communications.
All of the participants were of European descent and were taken from 12 existing studies, or ‘cohorts’.
The studies’ follow-up periods ranged from two-to-16 years. During this time, 5,512 of the participants died.
Within the participants’ blood samples, the team looked for ‘metabolic biomarkers’ that were higher in those who lived longer.
They identified 14 markers that were found in both the men and women, as well as across all ages. These biomarkers were combined into a test.
To assess its effectiveness, the researchers first scored the participants’ risk of death based on ‘conventional factors’.
These included BMI, blood pressure, cholesterol, alcohol consumption and smoking, as well as any cancer or heart disease diagnosis.
Scores ranged from minus two to three, with every one point increase being linked to a nearly three times higher risk of early death.
Over the two-to-16 year follow-up, the test predicted the participants’ risk of death with 83 per cent accuracy.
This was superior to the ‘conventional risk factor test’, which was up to 79 per cent accurate.
Kevin McConway, emeritus professor of applied statistics at The Open University, said: ‘This is a solid and interesting piece of research.
‘But it doesn’t go beyond investigating the plausibility of setting up a system for predicting risk of death.
‘One reason these results can’t be used directly in clinical work is the bioindicators involved weren’t measured on the same scale in the 12 cohorts of individuals that were studied.’
Dr Amanda Heslegrave, researcher at the UK Dementia Research Institute at University College London, added: ‘Biomarkers give us important insight into what’s happening in health and disease.
‘The large numbers in the study are good and also the fact that they have a large number for outcome – in this case mortality – makes the data more viable.
‘Whilst this study shows this type of profiling can be useful, they do point out importantly it would need further work to develop a score at the individual level that would be useful in real-life situations.
‘So, it’s an exciting step, but it’s not ready yet.’