Why the study?
Gastrointestinal hemorrhage is a known side effect of DOACs, prompting investigation into whether molecular structure and on/off-target pharmacology can predict adverse drug reactions across the drug class.
Does the molecular structure and on/off-target pharmacology of DOACs predict their clinical safety profile and adverse drug reactions?
Does the molecular structure and on/off-target pharmacology of DOACs predict their clinical safety profile and adverse drug reactions?
Physicochemical properties and off-target pharmacology of DOACs correlate with real-world adverse drug reactions, suggesting molecular structure can predict clinical safety profiles.
Answers are grounded in this paper and cite their sources.
No immediate change to DOAC selection warranted; leaves open whether pharmacology reliably predicts real-world ADRs.
Direct oral anticoagulants (DOACs) have rapidly become the drug class of choice for anticoagulation therapy in secondary care. It is known that gastrointestinal hemorrhage are potential side effects of the DOAC drug class. In this study we have investigated the relevance of molecular structure and on/off‐target pharmacology as a predictor of adverse drug reactions (ADRs) for the DOAC drug class. Use of the Reaxys MedChem module allowed for data mining of all possible reported off‐target effects of the DOAC class members. For the first time, the MHRA Yellow card database in combination with prescribing rates in the United Kingdom (data for n = 30 566 936 DOAC Rx (up to 2017) and ADR data n = 22 275 (up to 2018)) were used for our data comparison of DOACs. From the underlying reported data, we were able to rank the DOACs in terms of the likely adverse events we would expect to observe. We identified potential risks of ADRs based on the DOACs pharmacology including the expected GI hemorrhage, but also the unexpected risk of stroke, pulmonary embolism and kidney injury. Statistically significant (P < .001) differences were found between all DOACs and their total number of ADRs. Although the risks are small, strong statistical correlation between observed pharmacology and national ADR data is observed in three out of the five areas of concern.
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Ferro et al. (2020) studied this question.
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