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2020 ; 81
(7
): 777-781
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
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English Wikipedia
Repurposing current therapeutics for treating COVID-19: A vital role of
prescription records data mining
#MMPMID32420637
Gurwitz D
Drug Dev Res
2020[Nov]; 81
(7
): 777-781
PMID32420637
show ga
Since its outbreak in late 2019, the SARS-Cov-2 pandemic already infected over
3.7 million people and claimed more than 250,000 lives globally. At least 1?year
may take for an approved vaccine to be in place, and meanwhile millions more
could be infected, some with fatal outcome. Over thousand clinical trials with
COVID-19 patients are already listed in ClinicalTrials.com, some of them for
assessing the utility of therapeutics approved for other conditions. However,
clinical trials take many months, and are typically done with small cohorts. A
much faster and by far more efficient method for rapidly identifying approved
therapeutics that can be repurposed for treating COVID-19 patients is data mining
their past and current electronic health and prescription records for identifying
drugs that may protect infected individuals from severe COVID-19 symptoms.
Examples are discussed for applying health and prescription records for assessing
the potential repurposing (repositioning) of angiotensin receptor blockers,
estradiol, or antiandrogens for reducing COVID-19 morbidity and fatalities. Data
mining of prescription records of COVID-19 patients will not cancel the need for
conducting controlled clinical trials, but could substantially assist in trial
design, drug choice, inclusion and exclusion criteria, and prioritization. This
approach requires a strong commitment of health provides for open collaboration
with the biomedical research community, as health provides are typically the sole
owners of retrospective drug prescription records.
|*COVID-19 Drug Treatment
[MESH]
|Antiviral Agents/classification/*pharmacology/therapeutic use
[MESH]