COVID-19 new sub-variant BA.2

A concept illustration of COVID-19’s variant Omicron BA.2.

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Study details better outcomes for Omicron BA.2 patients

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Lead researcher: ‘Virus seems to be getting intrinsically less severe’

In a study that represents the largest to date to examine the severity of Omicron BA.2 — the COVID subvariant making a re-emergence this fall — a team led by investigators at Massachusetts General Hospital has determined that the strain is weaker than both Delta and the original Omicron variant.

This pattern revealed in the JAMA Network Open study suggests that COVID severity may be diminishing.

To provide an accurate assessment of the severity of variants above and beyond previous studies, the researchers used a method called entropy balancing to account for potential confounding factors such as prior infections, vaccinations, treatments, and comorbidities. The team applied this method to data leveraged from the Mass. General Brigham’s electronic health record system that’s linked to a COVID-19 vaccine registry.

Of 102,315 confirmed COVID-19 cases from March 3, 2020, to June 20, 2022, there were 20,770 labeled as Delta variants, 52,605 labeled as Omicron B.1.1.529 variants (the original Omicron variant), and 28,940 labeled as Omicron BA.2 subvariants.

Mortality rates were 0.7 percent for Delta, 0.4 percent for the original Omicron variant, and 0.3 percent for Omicron BA.2. After adjustments, the odds of death were more than two times higher for the Delta and the original Omicron variant compared with Omicron BA.2. Patients with Delta and the original Omicron variants were also likelier to need hospitalizations, invasive ventilation, and intensive care admissions.

“While the SARS-CoV-2 virus always has the potential to mutate to a more deadly form, when you look at the recent trajectory of Delta, Omicron BA.1, to Omicron BA.2, the virus seems to be getting intrinsically less severe. Hopefully this trend will continue,” says lead author Zachary Strasser, an academic physician in the Laboratory of Computer Science at MGH and an instructor of medicine at Harvard Medical School. “We can continue to use our analytics system and method to assess many other questions, such as which vaccinations have the most impact on preventing long COVID, or whether certain treatments reduce the likelihood of long COVID.”

Co-authors include Noah Greifer, Aboozar Hadavand, Shawn N. Murphy, and Hossein Estiri.

This work was supported in part by the National Institute of Allergy and Infectious Disease and the National Human Genome Research Institute.