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Abstract 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.

Abstract Objective: The intensity of an antibiotic stewardship intervention to achieve clinical impact is not known. We conducted a multisite dissemination project of an intervention to reduce treatment of asymptomatic bacteriuria (ASB) and studied: (1) the association between implementation metrics and clinical outcomes and (2) the cost of implementation. Design/Setting/Participants: A central site facilitated a multimodality intervention to decrease unnecessary urine cultures and antibiotic treatment in patients with ASB at 4 Veterans Affairs medical centers. Methods: The intervention consisted of a decision support aid algorithm and interactive teaching cases that provided in the moment audit and feedback on how to manage ASB. Implementation outcomes included minutes spent in intervention delivery, number of healthcare professionals reached, and number of sessions delivered. Clinical outcomes included days of antibiotic therapy (DOT), length of antibiotic therapy (LOT), and number of urine cultures ordered per 1000 bed days. Personnel reported weekly time logs. Results: Minutes spent in intervention delivery were inversely correlated with two clinical outcomes, DOT (R −0.3, P = .04) and LOT (R −0.3, P = .02). Number of healthcare professionals reached and number of sessions delivered were not correlated with clinical outcomes of DOT (R –0.003, P = .98, R = −0.059, P = .69) or LOT (R +0.073, P = .62, R −0.102, P = .49). Physician champions spent an average of 3.8% of effort on the intervention. The implementation cost was USD 22,299/year per site on average. Conclusions: The amount of time local teams spent in delivery of an antibiotic stewardship intervention was correlated with the desired decrease in antibiotic use. Implementing this successful antibiotic stewardship intervention required minimal time.

STUDY QUESTION Is exposure to dydrogesterone a risk factor for congenital anomalies when given in the first trimester for recurrent/threatened pregnancy loss or as luteal support in assisted reproductive technology (ART)? SUMMARY ANSWER Dydrogesterone, when given in the first trimester for recurrent/threatened pregnancy loss or as luteal support in ART, is not a relevant additional risk factor for congenital anomalies. WHAT IS KNOWN ALREADY Despite large clinical trials and meta-analyses that show no association between dydrogesterone and congenital anomalies, some recently retracted publications have postulated an association with teratogenicity. Dydrogesterone is also often rated as less safe than bioidentical progestins. STUDY DESIGN, SIZE, DURATION A systematic review was conducted according to a pre-specified protocol with searches on Medline, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and Clinicaltrials.gov. The search was limited to human studies, with no restrictions on language, geographical region, or date. The search algorithm used a PICO (Population, Intervention, Comparison, Outcome)-style approach combining both simple search terms and medical subject heading terms. As congenital anomalies are mostly reported as secondary outcomes, the search term 'safety' was added. PARTICIPANTS/MATERIALS, SETTING, METHODS Interventional study and observational study (OS) designs were eligible for inclusion. Inclusion criteria were: women >17 years old treated for threatened miscarriage, recurrent pregnancy loss, and/or ART; the use of dydrogesterone in the first trimester compared with placebo, no treatment or other interventions; and reporting of congenital anomalies in newborns or infants ≤12 months old (primary outcome). Two authors (A.K. M.R.N.) independently extracted the following data: general study information, study population details, intervention and comparator(s), and frequencies of congenital anomalies (classification, time of determination, and type). Risk of bias focused on the reporting of congenital malformations and was assessed using the Cochrane Risk of Bias Tool Version 2 or the ROBINS-I tool. The GRADEproGDT platform was used to generate the GRADE summary of findings table. MAIN RESULTS AND THE ROLE OF CHANCE Of the 897 records retrieved during the literature search, 47 were assessed for eligibility. Nine studies were included in the final analysis: six randomized controlled trials (RCTs) and three OSs. Among the RCTs, three had a low risk and three a high risk of bias. Two of the OSs were considered to have a serious risk of bias and one with critical risk of bias and was excluded for the evidence syntheses. The eight remaining studies included a total of 5070 participants and 2680 live births from 16 countries. In the meta-analysis of RCTs only, the overall risk ratio (RR) was 0.92 [95% CI 0.55; 1.55] with low certainty. When the two OSs were included, the overall RR was 1.11 [95% CI 0.73; 1.68] with low certainty. LIMITATIONS, REASONS FOR CAUTION The studies included in the analysis do not report congenital anomalies as the primary outcome; reporting of congenital anomalies was often not standardized. WIDER IMPLICATIONS OF THE FINDINGS This systematic literature review and meta-analysis provide clear reassurance to both clinicians and patients that dydrogesterone is not associated with congenital anomalies above the rate that might be expected due to environmental and genetic factors. The results of this work represent the highest current level of evidence for the question of congenital anomalies, which removes the existing uncertainty caused by poor quality and retracted studies. STUDY FUNDING/COMPETING INTEREST(S) Editorial support was provided by Highfield Communication Consultancy, Oxford, UK, sponsored by Abbott Products Operations AG, Allschwil, Switzerland. A.K. J.A.G.-V. L.P.S. J.N.v.d.A. and J.F.S. received honoraria from Abbott for preparation and participation in an advisory board. J.A.G.-V. received grants and lecture fees from Merck, Organon, Ferring, Gedeon Richter, and Theramex. M.R.N. has no conflicts of interest. J.N.v.d.A. and J.A.G.-V. have no other conflicts of interest. A.K. received payment from Abbott for a talk at the IVF Worldwide congress on 22 September 2023. J.F.S. has received grants from the National Institutes of Health, royalties/licences from Elsevier and Prescient Medicine (SOLVD Health), consulting fees from Burroughs Wellcome Fund (BWF) and Bayer, honoraria from Magee Women's Research Institute, Wisconsin National Primate Research Centre, University of Kansas and Oakridge National Research Laboratory, Agile, Daiichi Sankyo/American Regent, and Bayer, and travel support to attend meetings for the International Academy of Human Reproduction (IAHR). J.F.S. has patents related to diagnosis and treatment of PCOS and prediction of preterm birth. J.F.S. participates on advisory boards for SOLVD Health, Wisconsin National Primate Research Centre, and FHI360, was the past President board member of the Society for Reproductive Investigation, has a leadership role for the following organizations: Scientific Advisory Board, SOLVD Health, EAB Chair for contraceptive technology initiative, FHI360, EAB member, Wisconsin National Primate Research Centre, Advisory Board for MWRI Summit, Chair of BWF NextGen Pregnancy Research Panel, Medical Executive Committee at the Howard, and Georgeanna Jones Foundation, and is Vice President, IAHR. L.P.S. has received consulting fees from Shield Pharmaceuticals, Scynexis, Organon, Natera, Celula China, AiVF, Agile, Daiichi Sankyo, American Regent, and Medicem, honoraria from Agile, Daiichi Sankyo/American Regent, and Bayer, and travel support from BD Diagnostics. L.P.S. participates on the data safety monitoring board for Astellas and is a Chair of DSMB for fezolinetant. Abbott played no role in the funding of the study or in study design, data collection, data analysis, data interpretation, or writing of the report. TRIAL REGISTRATION NUMBER PROSPERO 2022 CRD42022356977. [ABSTRACT FROM AUTHOR]