1. SSRI use during acute COVID-19 and risk of long COVID among patients with depression.
- Author
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Butzin-Dozier Z, Ji Y, Deshpande S, Hurwitz E, Anzalone AJ, Coyle J, Shi J, Mertens A, van der Laan MJ, Colford JM Jr, Patel RC, and Hubbard AE
- Subjects
- Humans, Female, Male, Middle Aged, Adult, Aged, Depression drug therapy, Pandemics, Post-Acute COVID-19 Syndrome, Coronavirus Infections drug therapy, Coronavirus Infections epidemiology, Coronavirus Infections complications, Betacoronavirus drug effects, Pneumonia, Viral drug therapy, Pneumonia, Viral epidemiology, Risk Factors, COVID-19 epidemiology, COVID-19 complications, Selective Serotonin Reuptake Inhibitors therapeutic use, SARS-CoV-2 drug effects
- Abstract
Background: Long COVID, also known as post-acute sequelae of COVID-19 (PASC), is a poorly understood condition with symptoms across a range of biological domains that often have debilitating consequences. Some have recently suggested that lingering SARS-CoV-2 virus particles in the gut may impede serotonin production and that low serotonin may drive many Long COVID symptoms across a range of biological systems. Therefore, selective serotonin reuptake inhibitors (SSRIs), which increase synaptic serotonin availability, may be used to prevent or treat Long COVID. SSRIs are commonly prescribed for depression, therefore restricting a study sample to only include patients with depression can reduce the concern of confounding by indication., Methods: In an observational sample of electronic health records from patients in the National COVID Cohort Collaborative (N3C) with a COVID-19 diagnosis between September 1, 2021, and December 1, 2022, and a comorbid depressive disorder, the leading indication for SSRI use, we evaluated the relationship between SSRI use during acute COVID-19 and subsequent 12-month risk of Long COVID (defined by ICD-10 code U09.9). We defined SSRI use as a prescription for SSRI medication beginning at least 30 days before acute COVID-19 and not ending before SARS-CoV-2 infection. To minimize bias, we estimated relationships using nonparametric targeted maximum likelihood estimation to aggressively adjust for high-dimensional covariates., Results: We analyzed a sample (n = 302,626) of patients with a diagnosis of a depressive condition before COVID-19 diagnosis, where 100,803 (33%) were using an SSRI. We found that SSRI users had a significantly lower risk of Long COVID compared to nonusers (adjusted causal relative risk 0.92, 95% CI (0.86, 0.99)) and we found a similar relationship comparing new SSRI users (first SSRI prescription 1 to 4 months before acute COVID-19 with no prior history of SSRI use) to nonusers (adjusted causal relative risk 0.89, 95% CI (0.80, 0.98))., Conclusions: These findings suggest that SSRI use during acute COVID-19 may be protective against Long COVID, supporting the hypothesis that serotonin may be a key mechanistic biomarker of Long COVID., (© 2024. The Author(s).)
- Published
- 2024
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