Blood test to predict high risk Covid patients

by IANS |

New York, Sep 25 (IANS) A standard test that assesses blood cells can identify which patients admitted to hospital with Covid-19 could face a high risk of becoming critical and die, say researchers.

"We wanted to help find ways to identify high-risk Covid patients as early and as easily as possible -- who are likely to become severely ill and which hospitalized patients are likely to get worse quickly," said study researcher John M Higgins from the Massachusetts General Hospital in the US.

Higgins noted that early reports from China indicated that the body's inflammatory response was extremely intense in some patients and very mild in others.

His own group's previous work revealed that certain changes in the numbers and types of blood cells during inflammation are associated with poor health outcomes in patients with diseases such as heart disease, cancer, and diabetes.

"We quickly re-focused our computational infrastructure towards the analysis of the Covid-19 patient cohort that was growing rapidly in the Boston area last spring," explained study first author Brody Foy from the Harvard Medical School.

Their analysis, published in the journal JAMA Network Open, included all adults diagnosed with SARS-CoV-2 infection and admitted to one of four hospitals in the Boston area between March 4 and April 28, 2020.

Before looking for complicated changes in circulating blood cells in the 1,641 patients included in the study, the scientists first searched for patterns using currently available blood tests that are routinely performed.

"We were surprised to find that one standard test that quantifies the variation in size of red blood cells -- called red cell distribution width, or RDW -- was highly correlated with patient mortality," the researchers wrote.

The correlation persisted when controlling for other identified risk factors like patient age, some other lab tests, and some pre-existing illnesses," they added.

Patients who had RDW values above the normal range when they were admitted to the hospital had a 2.7-times higher risk of dying, with a mortality rate of 31 per cent compared with 11 per cent in patients with normal RDW values.

Also, a subsequent increase in RDW after admission was associated with an even higher risk of dying, indicating that RDW could be tracked during hospitalization to help determine whether patients are responding to treatment or getting worse.

The investigators are currently seeking to uncover the mechanisms that cause RDW elevations in severe Covid-19 cases.


 

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