COVID patients on SSRI antidepressants are less likely to die, study finds

Electronic health records compared outcomes for patients across the country

Date: November 15, 2021

Source: University of California – San Francisco

Summary: A large analysis of health records from 87 health care centers across the United States found that people taking a class of antidepressants called selective serotonin reuptake inhibitors (SSRIs), particularly fluoxetine, were significantly less likely to die of COVID-19 than a matched control group.

Box of Fluoxetine capsules 20 mg (artistic rendering).

A large analysis of health records from 87 health care centers across the United States found that people taking a class of antidepressants called selective serotonin reuptake inhibitors (SSRIs), particularly fluoxetine, were significantly less likely to die of COVID-19 than a matched control group.

The results add to a body of evidence indicating that SSRIs may have beneficial effects against the worst symptoms of COVID-19, although large randomized clinical trials are needed to prove this.

“We can’t tell if the drugs are causing these effects, but the statistical analysis is showing significant association,” said Marina Sirota, Ph.D., associate professor of pediatrics and a member of the Bakar Computational Health Sciences Institute (BCHSI) at UC San Francisco. “There’s power in the numbers.”

The UCSF-Stanford research team analyzed electronic health records from the Cerner Real World COVID-19 de-identified database, which had information from almost 500,000 patients across the U.S. This included 83,584 adult patients diagnosed with COVID-19 between January and September 2020. Of those, 3,401 patients were prescribed SSRIs.

The large size of the dataset enabled researchers to compare the outcomes of patients with COVID-19 on SSRIs to a matched set of patients with COVID-19 who were not taking them, thus teasing out the effects of age, sex, race, ethnicity, and comorbidities associated with severe COVID-19, such as diabetes and heart disease, as well as the other medications the patients were taking.

The results showed that patients taking fluoxetine were 28 percent less likely to die; those taking either fluoxetine or another SSRI called fluvoxamine were 26 percent less likely to die, and the entire group of patients taking any kind of SSRI was 8 percent less likely to die than the matched patient controls.

Though the effects are smaller than those found in recent clinical trials of new antivirals developed by Pfizer and Merck, the researchers said more treatment options are still needed to help bring the pandemic to an end.

“The results are encouraging,” said Tomiko Oskotsky, MD, a research scientist in Sirota’s lab at BCHSI. “It’s important to find as many options as possible for treating any condition. A particular drug or treatment may not work or be well tolerated by everyone. Data from electronic medical records allow us to quickly look into existing drugs that could be repurposed for treating COVID-19 or other conditions.”

Other authors include David K. Stevenson, MD, Ivana Marić, Ph.D., Ronald J. Wong, Ph.D., and Nima Aghaeepour, Ph.D., of Stanford University; and Alice Tang and Boris Oskotsky, Ph.D., of UCSF.

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The results add to a body of evidence indicating that SSRIs may have beneficial effects against the worst symptoms of COVID-19, although large randomized clinical trials are needed to prove this.

“We can’t tell if the drugs are causing these effects, but the statistical analysis is showing significant association,” said Marina Sirota, PhD, associate professor of pediatrics and a member of the Bakar Computational Health Sciences Institute (BCHSI) at UC San Francisco. “There’s power in the numbers.”

The UCSF-Stanford research team analyzed electronic health records from the Cerner Real World COVID-19 de-identified database, which had information from almost 500,000 patients across the U.S. This included 83,584 adult patients diagnosed with COVID-19 between January and September 2020. Of those, 3,401 patients were prescribed SSRIs.

The large size of the dataset enabled researchers to compare the outcomes of patients with COVID-19 on SSRIs to a matched set of patients with COVID-19 who were not taking them, thus teasing out the effects of age, sex, race, ethnicity, and comorbidities associated with severe COVID-19, such as diabetes and heart disease, as well as the other medications the patients were taking.

The results showed that patients taking fluoxetine were 28 percent less likely to die; those taking either fluoxetine or another SSRI called fluvoxamine were 26 percent less likely to die, and the entire group of patients taking any kind of SSRI was 8 percent less likely to die than the matched patient controls.

Though the effects are smaller than those found in recent clinical trials of new antivirals developed by Pfizer and Merck, the researchers said more treatment options are still needed to help bring the pandemic to an end.

“The results are encouraging,” said Tomiko Oskotsky, MD, a research scientist in Sirota’s lab at BCHSI. “It’s important to find as many options as possible for treating any condition. A particular drug or treatment may not work or be well tolerated by everyone. Data from electronic medical records allow us to quickly look into existing drugs that could be repurposed for treating COVID-19 or other conditions.”

Other authors include David K. Stevenson, MD, Ivana Marić, Ph.D., Ronald J. Wong, Ph.D., and Nima Aghaeepour, Ph.D., of Stanford University; and Alice Tang and Boris Oskotsky, Ph.D., of UCSF.

Source Credit: https://www.sciencedaily.com/releases/2021/11/211115123538.htm

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