Physiologically-based pharmacokinetic modeling of remdesivir and its metabolites in pregnant women with COVID-19

Remdesivir: treatment of COVID-19 in special populations

Remdesivir (RDV) is the mainstay antiviral therapy for moderate to severe COVID-19. Although remdesivir was the first drug approved for COVID-19, information about its efficacy and safety profile is limited in a significant segment of the population, such as people with underlying diseases, the elderly, children, and pregnant and lactating women. The efficacy and safety profile of RDV in disease progression, renal impairment, liver impairment, immunosuppression, geriatrics, pediatrics, pregnancy, and breastfeeding in COVID-19 patients was evaluated. The databases searched included Embase, Scopus, and PubMed. Only English language studies enrolling specific subpopulations with COVID-19 and treated with RDV were included. Thirty-nine clinical trials, cohorts, cross-sectional studies, and case series/reports were included. Most supported the benefits of RDV therapy for COVID-19 patients, such as lessening the duration of hospitalization, alleviating respiratory complications, and reducing mortality. Adverse effects of RDV, including liver and kidney impairment, were, for the most part, moderate to mild, supporting the safety profile of RDV therapy. RDV therapy was well tolerated, no new safety signals were detected, and liver function test abnormalities were the most common adverse events. Moreover, RDV, for the most part, was effective in managing the complications of COVID-19 and reducing mortality in these patients, except for patients with kidney impairment. Future studies, including RCTs, should include these subpopulations of patients to avoid delays associated with receiving proper medication through compassionate use programs.

Remdesivir Use in the Real-World Setting: An Overview of Available Evidence

In the years of Coronavirus Disease 2019 (COVID-19), various treatment options have been utilized. COVID-19 continues to circulate in the global population, and the evolution of the Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has posed significant challenges to the treatment and prevention of infection. Remdesivir (RDV), an anti-viral agent with in vitro efficacy against coronaviruses, is a potent and safe treatment as suggested by a plethora of in vitro and in vivo studies and clinical trials. Emerging real-world data have confirmed its effectiveness, and there are currently datasets evaluating its efficacy and safety against SARS-CoV-2 infections in various clinical scenarios, including some that are not in the SmPC recommendations according for COVID-19 pharmacotherapy. Remdesivir increases the chance of recovery, reduces progression to severe disease, lowers mortality rates, and exhibits beneficial post-hospitalization outcomes, especially when used early in the course of the disease. Strong evidence suggests the expansion of remdesivir use in special populations (e.g., pregnancy, immunosuppression, renal impairment, transplantation, elderly and co-medicated patients) where the benefits of treatment outweigh the risk of adverse effects. In this article, we attempt to overview the available real-world data of remdesivir pharmacotherapy. With the unpredictable course of COVID-19, we need to utilize all available knowledge to bridge the gap between clinical research and clinical practice and be sufficiently prepared for the future.

Physiologically-based pharmacokinetic modeling of remdesivir and its metabolites in pregnant women with COVID-19

Pregnant individuals are at high risk for severe illness from COVID-19, and there is an urgent need to identify safe and effective therapeutics for this population. Remdesivir (RDV) is a SARS-CoV-2 nucleotide analog RNA polymerase inhibitor. Limited RDV pharmacokinetic (PK) and safety data are available for pregnant women receiving RDV. The aims of this study were to translate a previously published nonpregnant adult physiologically based PK (PBPK) model for RDV to pregnancy and evaluate model performance with emerging clinical PK data in pregnant women with COVID-19. The pregnancy model was built in the Open Systems Pharmacology software suite (Version 10) including PK-Sim® and MoBi® with pregnancy-related changes of relevant enzymes applied. PK were predicted in a virtual population of 1000 pregnant subjects, and prediction results were compared with in vivo PK data from the International Maternal, Pediatric, Adolescent AIDS Clinical Trials (IMPAACT) Network  2032 study. The developed PBPK model successfully captured RDV and its metabolites' plasma concentrations during pregnancy. The ratios of prediction versus observation for RDV area under the curve from time 0 to infinity (AUC0-∞ ) and maximum concentration (Cmax ) were 1.61 and 1.17, respectively. For GS-704277, the ratios of predicted versus observed were 0.94 for AUC0-∞ and 1.20 for Cmax . For GS-441524, the ratios of predicted versus observed were 1.03 for AUC0-24 , 1.05 for Cmax , and 1.07 for concentrations at 24 h. All predictions of AUC and Cmax for RDV and its metabolites were within a twofold error range, and about 60% of predictions were within a 10% error range. These findings demonstrate the feasibility of translating PBPK models to pregnant women to potentially guide trial design, clinical decision making, and drug development.