Health

Long COVID Might Be Diagnosed With Nearly 100 Percent Accuracy: Study

Authored by George Citroner via The Epoch Times

A simple blood test may finally provide answers for the millions struggling with long-term COVID symptoms.

New research published in Nature reveals distinct biomarkers in patients with the complex condition, allowing a machine learning algorithm to diagnose it correctly nearly every time.

“This is the first paper of many findings where we’re seeing clear abnormalities between a healthy control population and folks with long COVID,” the study’s principal investigator, David Putrino, who holds a doctorate in neuroscience and is a professor of rehabilitation and human performance at the Icahn School of Medicine at Mount Sinai in New York, told The Epoch Times.

The findings offer hope of objective confirmation to long-term COVID sufferers, who represent about 6 percent of the U.S. population, according to the U.S. Centres for Disease Control and Prevention (CDC). Many have faced doubts that their persistent fatigue, brain fog, and pain after the COVID-19 infection are real.

Mr. Putrino and his team analysed around 270 patients from three locations—the Mount Sinai Hospital, Mount Sinai Union Square, and Yale School of Medicine—between January 2021 and June 2022.

They divided participants into three groups: those with no prior COVID infection, those who fully recovered, and those with long-term COVID symptoms for at least four months after infection.

Researchers had all patients complete questionnaires about symptoms, medical history, and health-related quality of life and give blood samples to identify biomarker differences.

A machine learning algorithm was applied to determine which biomarkers best identified COVID. The questionnaire data was then fed to the programme.

The algorithm differentiated between those with and without long COVID with 96 percent accuracy, detecting unique features in long-COVID patients’ blood. The biggest differences involved abnormal immune cell activity, reactivated dormant herpes viruses like Epstein-Barr, and reduced cortisol levels.

The findings show promise for objectively identifying the “constellation of immune cells” diagnostic for long-term COVID, Dr. Thomas Gut, director of the Post-COVID Recovery Centre at Northwell Staten Island University Hospital in New York, told The Epoch Times. “Serological markers could be a huge step towards confirming long-term COVID versus other complications,” he added.

The data also raises questions about COVID’s role in awakening other viruses, Dr. Gut noted. “This data does suggest that there may be a link between these viruses.”

A recent analysis in the British Medical Journal by researchers from the UK, Denmark, and the United States found significant flaws in long-term COVID scientific literature. Previous studies may have overestimated prevalence due to broad definitions and a lack of control groups, potentially feeding public anxiety and misdiagnosis.

“There is a need for better case definitions and more stringent [long-COVID] criteria,” the authors wrote.

Mr. Putrino’s findings offer clinicians guidance for confirming long-term COVID.

Rather than a general battery with normal results, doctors will be able to target specific symptoms, according to Mr. Putrino. “We can look at hormonal health. We can run a detailed hormone battery. We can run a detailed immune battery. And we can look for evidence of co-infection,” he said, noting that the study also enables doctors to find the exact problem and treat it with medications.

This new research could offer a way to distinguish long-term COVID from psychological distress caused by COVID-19 itself. Mr. Putrino emphasised that the key takeaway is that COVID is not a functional disorder without physical signs.

“We’re not looking at a psychosomatic condition,” he said. “We’re seeing very, very clear evidence that this is an infection-associated complex chronic illness, and this study proves it.”

A study published in February in the Journal of Psychosomatic Research finds “substantial” evidence suggesting a role for psychological mechanisms in long-term COVID. The researchers pointed out that it’s well established that psychological distress isn’t only a symptom but also a risk factor for long-term COVID, noting that higher levels of personal resilience were associated with a lower severity of the condition.

The eventual design of a blood test for diagnosing long-term COVID will most likely necessitate the use of machine learning software and further research, Mr. Putrino said.

The test wouldn’t offer a straightforward yes or no answer due to the diverse symptoms experienced by different patients, he noted. Instead, the test would involve analysing various factors and symptoms, creating a nuanced approach to accurately identify long-term COVID cases based on the amalgamation of these findings.

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George Citroner

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