Fluvoxamine: Cheap, generic anti-depressant called Luvox may reduce severe Covid-19 disease, study finds  - CNN

Fluvoxamine: Cheap, generic anti-depressant called Luvox may reduce severe Covid-19 disease, study finds – CNN

Among the patients who got fluvoxamine, 79 — or about 11% — needed treatment in an ER or hospital room compared to nearly 16% of those given placebos. It was a 5% decrease in absolute risk and a 32% decrease in relative risk.
More study is needed to see if the drug might be added to the treatments given to coronavirus patients, but it’s cheap. “A 10-day course of fluvoxamine costs approximately $4 even in well-resourced settings,” the researchers wrote.
An intubated coronavirus patient is seen next to a pulmonary ventilator at Ronaldo Gazolla Hospital ICU in Acari, Rio de Janeiro, Brazil, on April 30, 2020.
It’s not a cure, but if the drug can help keep patients out of the hospital, it would be useful.
“Given fluvoxamine’s safety, tolerability, ease of use, low cost, and widespread availability, these findings might influence national and international guidelines on the clinical management of COVID-19,” they concluded.
A related drug, Prozac, or fluoxetine, is also cheap and even more widely available, and the researchers said this drug should be studied to see if it might help.
“It is now crucial to establish whether a class effect exists and whether these drugs can be used interchangeably for COVID-19,” they wrote.
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It wasn’t a perfect study, they noted. It was done in Brazil, and the patients had a higher rate of hospitalization than Covid-19 patients in other clinical trials.
“There is no standard of care that exists for early treatment of COVID-19 and various advocacy groups promote different interventions, including some of those evaluated in this and our previous trials. Furthermore, there is little understanding of who is at greatest risk of disease progression from this disease as some patients with numerous risk factors do recover quickly whereas some others with less established risk factors might not,” they wrote.

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