New Blood Test Accurately Predicts COVID-19 Patients at Risk of Severe Infection
By LabMedica International staff writers Posted on 19 Oct 2020 |
Image: Professor Gerry McElvaney (left), the study’s senior author and a consultant in Beaumont Hospital, and Professor Ger Curley (right). (Photo courtesy of RCSI Education and Research Centre in Beaumont Hospital)
Scientists have developed, for the first time, a score that can accurately predict which patients will develop a severe form of COVID-19.
Researchers at RCSI University of Medicine and Health Sciences (Dublin, Ireland) have developed a measurement called the Dublin-Boston score that is designed to enable clinicians to make more informed decisions when identifying COVID-19 patients who may benefit from therapies, such as steroids, and admission to intensive care units. Until this study, no COVID-19-specific prognostic scores were available to guide clinical decision-making. The Dublin-Boston score can now accurately predict how severe the infection will be on day seven after measuring the patient’s blood for the first four days.
The blood test works by measuring the levels of two molecules that send messages to the body’s immune system and control inflammation. One of these molecules, interleukin (IL)-6, is pro-inflammatory, and a different one, called IL-10, is anti-inflammatory. The levels of both are altered in severe COVID-19 patients. Based on the changes in the ratio of these two molecules over time, the researchers developed a point system where each 1-point increase was associated with a 5.6 times increased odds for a more severe outcome. The Dublin-Boston score uses the ratio of IL-6 to IL-10 because it significantly outperformed measuring the change in IL-6 alone.
“The Dublin-Boston score is easily calculated and can be applied to all hospitalised COVID-19 patients,” said RCSI Professor of Medicine Gerry McElvaney, the study’s senior author. “More informed prognosis could help determine when to escalate or de-escalate care, a key component of the efficient allocation of resources during the current pandemic. The score may also have a role in evaluating whether new therapies designed to decrease inflammation in COVID-19 actually provide benefit.”
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RCSI University of Medicine and Health Sciences
Researchers at RCSI University of Medicine and Health Sciences (Dublin, Ireland) have developed a measurement called the Dublin-Boston score that is designed to enable clinicians to make more informed decisions when identifying COVID-19 patients who may benefit from therapies, such as steroids, and admission to intensive care units. Until this study, no COVID-19-specific prognostic scores were available to guide clinical decision-making. The Dublin-Boston score can now accurately predict how severe the infection will be on day seven after measuring the patient’s blood for the first four days.
The blood test works by measuring the levels of two molecules that send messages to the body’s immune system and control inflammation. One of these molecules, interleukin (IL)-6, is pro-inflammatory, and a different one, called IL-10, is anti-inflammatory. The levels of both are altered in severe COVID-19 patients. Based on the changes in the ratio of these two molecules over time, the researchers developed a point system where each 1-point increase was associated with a 5.6 times increased odds for a more severe outcome. The Dublin-Boston score uses the ratio of IL-6 to IL-10 because it significantly outperformed measuring the change in IL-6 alone.
“The Dublin-Boston score is easily calculated and can be applied to all hospitalised COVID-19 patients,” said RCSI Professor of Medicine Gerry McElvaney, the study’s senior author. “More informed prognosis could help determine when to escalate or de-escalate care, a key component of the efficient allocation of resources during the current pandemic. The score may also have a role in evaluating whether new therapies designed to decrease inflammation in COVID-19 actually provide benefit.”
Related Links:
RCSI University of Medicine and Health Sciences
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