Mount Sinai scientists have identified two markers of inflammation that reliably predict the severity of COVID-19 cases and likelihood of survival, providing a foundation for a diagnostic platform and therapeutic targets, according to a study published in Nature Medicine in August.

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The researchers studied four proteins known as cytokines that circulate in blood and are commonly associated with infections, and found that two of them, called IL-6 and TNF-α, were able to predict which patients were likely to develop more severe forms of COVID-19 and die. The scientists established that the levels of IL-6 and TNF-α in serum, when measured at admission to the hospital, were elevated in patients who fared the worst, a finding that was independent of the patients' other underlying medical conditions, of demographics such as age and sex, and of other standard clinical biomarkers of disease severity such as low blood oxygen saturation and common markers related to inflammation, iron levels, and blood clotting issues.

This study suggests that these cytokines should be monitored in the treatment of COVID-19 patients to help select those who should enter clinical trials and receive specific drugs that can target them, the researchers say.