Blood test may point to patients at higher risk for Covid-19 death

Five biomarkers, medical indicators found in the blood, associated with higher odds of clinical deterioration and death in Covid-19 patients, say researchers.

The study, published in the journal Future Medicine, will help physicians better predict outcomes for Covid-19 patients.

“When we first started treating Covid-19 patients, we watched them get better or get worse, but we didn’t know why,” said study co-author Juan Reyes from the George Washington University (GW) in the US.

“Some initial studies had come out of China showing certain biomarkers were associated with bad outcomes. There was a desire to see if that was true for our patients here in the US,” Reyes added.

For the findings, the research team evaluated 299 patients diagnosed with Covid-19 admitted to GW Hospital between March 12 and May 9, 2020.

Of these patients, 200 had all five biomarkers being evaluated – IL-6, D-dimer, CRP, LDH and ferritin.

Elevated levels of these biomarkers were associated with inflammation and bleeding disorder, showing an independent increased risk for ICU admission, invasive ventilatory support, and death.

The researchers found that the highest odds of death occurred when the LDH level was greater than 1200 units/l and a D-dimer level was greater than 3 µg/ml.

“We hope these biomarkers help physicians determine how aggressively they need to treat patients, whether a patient should be discharged, and how to monitor patients who are going home, among other clinical decisions,” said study first author Shant Ayanian.

Currently, physicians determine risk for Covid-19 deterioration and death based on age and certain underlying medical conditions, like having an immunocompromised state, obesity, and heart disease.

Performing a simple blood test for patients admitted to the emergency department, then also making decisions based on biomarkers present, may further aid point-of-care clinical decision making.

The research team will continue to analyse this data to help physicians make more informed decisions for patients, as well as help hospitals that may need to stratify resources.

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