Such predictions can make it easier for healthcare providers to estimate the expected clinical picture.
This study, conducted in eleven hospitals, was published in the journal eLife.
“By using certain techniques, the character of certain blood cells can be better determined and by using these new techniques, we have been able to develop a reliable prognostic score,” said principal investigator Andre van der Ven of Radboud University Medical Center in in the Netherlands.
“This score gives a good insight into whether a serious course of events can be expected and can help healthcare professionals to make treatment decisions”.
In patients presenting to hospitals with a Covid-19 infection, full blood count analysis (hemocytometry) are commonly performed at the emergency department and during hospitalisation.
Covid-19 is accompanied by specific changes in the circulating blood cells that are analysed by a full blood count.
These changes in the blood cells, especially those that can be identified using new techniques, were used to create an algorithm with a predictive value.
The developed algorithm appears to predict the course of Covid-19 better than the value of the individual blood cells, as used so far.
The reliability increases to 93 percent after six days, said the study.
Using data generated by full blood count measurements, the researchers wanted to know if it is possible to predict whether a hospitalised Covid-19 patient will become seriously ill and needs treatment at the intensive care.
For this purpose, they examined the data of 982 adult patients in eleven different hospitals across Europe.
And this turned out to be possible: specific changes in the circulating blood cells of Covid-19 patients proved to be of use as indicators whether a serious course of events was expected.
New laboratory techniques make it possible to detect whether immune cells in the blood are activated and it turned out that especially these activated cells were more present of Covid-19 patients with a severe course, including during the early course of the disease.
In a second study population the researchers were able to confirm the value of the prognostic score.