NIH study finds routine lab tests fall short in diagnosing long COVID

A National Institutes of Health (NIH)-supported study has found that routine lab tests may not be useful in making a long COVID diagnosis for people who have symptoms of the condition. The study, part of NIH's Researching COVID to Enhance Recovery (NIH RECOVER) Initiative and published in the Annals of Internal Medicine, highlights how challenging it can be to identify and diagnose a novel illness such as long COVID.

Our challenge is to discover biomarkers that can help us quickly and accurately diagnose long COVID to ensure people struggling with this disease receive the most appropriate care as soon as possible. Long COVID symptoms can prevent someone from returning to work or school, and may even make everyday tasks a burden, so the ability for rapid diagnosis is key."

David Goff, M.D., Ph.D., director for the Division of Cardiovascular Sciences at the NIH's National Heart, Lung, and Blood Institute

Long COVID encompasses a wide spectrum of symptoms and health conditions that persist for months or years after infection from SARS-CoV-2, the virus that causes COVID-19. No validated clinical biomarkers of long COVID have been found to date, so diagnosing the condition currently requires gathering a detailed medical history and having patients take a physical exam to understand their symptoms, as well as getting laboratory work to rule out other causes.

The researchers conducted the study to determine whether a SARS-CoV-2 infection led to changes in biomarkers, such as platelet counts or protein in the urine, in individuals with a prior SARS-CoV-2 infection, compared to those without prior infection.

More than 10,000 adults – part of the RECOVER Adult Cohort – were recruited at 83 enrolling sites across the U.S. between October 2021 and October 2023. The cohort is demographically diverse, and participants came from a range of geographic locations. Among the 8,746 who had a prior SARS-CoV-2 infection, many had different variants, while 1,348 had never been infected.

The RECOVER Adult Cohort includes both individuals with and without prior SARS-CoV-2 infection and individuals with and without long COVID. Nearly 19% of the study population were identified as having long COVID.

Study participants completed a baseline set of surveys, a physical examination, and 25 standard laboratory blood and urine tests. Participants were then followed throughout the two-year study period, taking surveys every three months and lab tests at six-, 12-, 24-, 36-, and 48-month intervals. The lab tests included a complete blood count panel, metabolic panel, hemoglobin A1c (HbA1c), urinalysis, and urine albumin to creatinine ratio (uACR), among others.

According to the researchers, the lab tests detected markedly few differences in biomarkers between those with prior infection and those without. However, the team did find that prior infection was associated with modest increases in HbA1c, a measure of average blood sugar levels over two to three months, though those increases disappeared after researchers excluded people with pre-existing diabetes.

The researchers also noted slightly elevated increases in uACR, a measure of low kidney function, in participants with previous infection, but those were only seen in a minority of people in that group and may have resulted from severity of the initial infection.

In a secondary analysis, the researchers looked solely at the individuals in the infected group to determine the differences between those who developed long COVID versus those who did not. They used a previously described long COVID index, which identified 12 symptoms that best identified people with long COVID. Among participants with prior infection, the study found no meaningful differences in lab test results between the two groups. 

"Future work will use RECOVER's biobank of cohort samples such as blood and spinal fluid, to develop more novel laboratory-based tests that help us better understand the pathophysiology of long COVID," said Kristine Erlandson, M.D., professor of medicine-infectious disease at the University of Colorado Anschutz Medical Campus, Aurora.

Research reported in this press release was supported by NIH under award numbers OT2HL161841, OT2HL161847, and OT2HL156812. Additional support came from grant R01 HL162373. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. For more information on RECOVER, visit https://recovercovid.org.