Muscle Damage Due to Fusidic Acid–Statin Interaction: Review of 75 Cases From the French Pharmacovigilance Database and Literature Reports

Bataillard, M; Beyens, Marie-Noëlle; Mounier, G. J. D.; Vergnon-Miszczycha, Delphine; Bagheri, Haleh; Cathébras, P.

doi:10.1097/mjt.0000000000000679

Cited by 3 publications

(4 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[121] [119]. This interaction could be driven by the potent inhibition of human OATP1B1/OATP1B3 (involved in hepatic uptake of statins) by FA [120].…”

Section: Warfarin and Acenocoumarolmentioning

confidence: 99%

“…Mean creatine kinase level at diagnosis was 43,890 UI/mL, and acute renal injury occurred in more than half of the cases. Outcome was fatal in 22% of cases and 28% kept sequelae at the end of the follow-up (54 days) [ 119 ]. This interaction could be driven by the potent inhibition of human OATP1B1/OATP1B3 (involved in hepatic uptake of statins) by FA [ 120 ].…”

Section: Fusidic Acidmentioning

confidence: 99%

“…This interaction could be driven by the potent inhibition of human OATP1B1/OATP1B3 (involved in hepatic uptake of statins) by FA [ 120 ]. This may explain the occurrence of this interaction with statins which are not metabolized by CYP 3A4, such as rosuvastatin, pravastatin, or fluvastatin [ 119 ].…”

Section: Fusidic Acidmentioning

confidence: 99%

See 2 more Smart Citations

Clinically important pharmacokinetic drug-drug interactions with antibacterial agents

Torrent Rodríguez,

Font i Barceló,

Barrantes González

et al. 2024

Rev Esp Quimioter

View full text Add to dashboard Cite

Antimicrobial agents are widely used, and drug interactions are challenging due to increased risk of adverse effects or reduced efficacy. Among the interactions, the most important are those affecting metabolism, although those involving drug transporters are becoming increasingly known. To make clinical decisions, it is key to know the intensity of the interaction, as well as its duration and time-dependent recovery after discontinuation of the causative agents. It is not only important to be aware of all patient treatments, but also of supplements and natural medications that may also interact. Although they can have serious consequences, most interactions can be adequately managed with a good understanding of them. Especially in patients with polipharmacy it is compulsory to check them with an electronic clinical decision support database. This article aims to conduct a narrative review focusing on the major clinically significant pharmacokinetic drug-drug interactions that can be seen in patients receiving treatment for bacterial infections.

show abstract

“…[121] [119]. This interaction could be driven by the potent inhibition of human OATP1B1/OATP1B3 (involved in hepatic uptake of statins) by FA [120].…”

Section: Warfarin and Acenocoumarolmentioning

confidence: 99%

Section: Fusidic Acidmentioning

confidence: 99%

See 1 more Smart Citation

Clinically important pharmacokinetic drug-drug interactions with antibacterial agents

Torrent Rodríguez,

Font i Barceló,

Barrantes González

et al. 2024

Rev Esp Quimioter

View full text Add to dashboard Cite

show abstract

“…To further validate the SVM model, a similar computational approach was applied to atorvastatin for its well-known DDI-associated ADR, myopathy [63][64][65][66] (Fig. 5B).…”

Section: (3) Case Study 3: Atorvastatinmentioning

confidence: 99%

Prediction of adverse drug reactions associated with drug-drug interactions using hierarchical classification

Kim¹,

Tatonetti

2021

Preprint

View full text Add to dashboard Cite

Adverse drug reactions (ADRs) associated with drug-drug interactions (DDIs) represent a significant threat to public health. Unfortunately, most conventional methods for prediction of DDI-associated ADRs suffer from limited applicability and/or provide no mechanistic insight into DDIs. In this study, a hierarchical machine learning model was created to predict DDI-associated ADRs and pharmacological insight thereof for any drug pair. Briefly, the model takes drugs' chemical structures as inputs to predict their target, enzyme, and transporter (TET) profiles, which are subsequently utilized to assess occurrences of ADRs, with an overall accuracy of ~91%. The robustness of the model for ADR classification was validated with DDIs involving three widely prescribed drugs. The model was then applied for interstitial lung disease (ILD) associated with DDIs involving atorvastatin, identifying the involvement of multiple targets, enzymes, and transporters in ILD. The model presented here is anticipated to serve as a versatile tool for enhancing drug safety.

show abstract

Fusidic acid in a tertiary hospital: an observational study focusing on prescriptions, tolerance and susceptibility of Staphylococcus and Cutibacterium spp. strains from bone samples

Romaru

Limelette²,

Lebrun

et al. 2022

Eur J Clin Microbiol Infect Dis

View full text Add to dashboard Cite

Muscle Damage Due to Fusidic Acid–Statin Interaction: Review of 75 Cases From the French Pharmacovigilance Database and Literature Reports

Abstract: Muscle damage induced by interaction between FA and statin is a potentially life-threatening complication, leading to contraindication of this association in France. This is to be reminded especially because FA is about to get FDA approval and should soon be available in the United States.

Cited by 3 publications

References 26 publications

Clinically important pharmacokinetic drug-drug interactions with antibacterial agents

Clinically important pharmacokinetic drug-drug interactions with antibacterial agents

Prediction of adverse drug reactions associated with drug-drug interactions using hierarchical classification

Fusidic acid in a tertiary hospital: an observational study focusing on prescriptions, tolerance and susceptibility of Staphylococcus and Cutibacterium spp. strains from bone samples

Contact Info

Product

Resources

About