A multi-institutional team of scientists thinks it may have discovered biomarkers of long COVID that could lay the groundwork for a diagnostic test.
The biomarkers include consistent immune and hormonal differences between long COVID and non-infected patients, including an "exaggerated" humoral immune response to the coronavirus and lower concentrations of cortisol among the former.
The researchers developed a diagnostic algorithm to factor in these findings using machine learning, which was 96% accurate in distinguishing between long COVID patients and controls.
Mount Sinai Health System's David Putrino called this development "a decisive step forward in the development of valid and reliable blood testing protocols for long COVID."
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