The Reporting of a Disproportionality Analysis for Drug Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Development and Statement.

BACKGROUND AND AIM: Disproportionality analyses using reports of suspected adverse drug reactions are the most commonly used quantitative methods for detecting safety signals in pharmacovigilance. However, their methods and results are generally poorly reported in published articles and existing guidelines do not capture the specific features of disproportionality analyses. We here describe the development of a guideline (REporting of A Disproportionality analysis for drUg Safety signal detection using individual case safety reports in PharmacoVigilance [READUS-PV]) for reporting the results of disproportionality analyses in articles and abstracts. METHODS: We established a group of 34 international experts from universities, the pharmaceutical industry, and regulatory agencies, with expertise in pharmacovigilance, disproportionality analyses, and assessment of safety signals. We followed a three-step process to develop the checklist: (1) an open-text survey to generate a first list of items; (2) an online Delphi method to select and rephrase the most important items; (3) a final online consensus meeting. RESULTS: Among the panel members, 33 experts responded to round 1 and 30 to round 2 of the Delphi and 25 participated to the consensus meeting. Overall, 60 recommendations for the main body of the manuscript and 13 recommendations for the abstracts were retained by participants after the Delphi method. After merging of some items together and the online consensus meeting, the READUS-PV guidelines comprise a checklist of 32 recommendations, in 14 items, for the reporting of disproportionality analyses in the main body text and four items, comprising 12 recommendations, for abstracts. CONCLUSIONS: The READUS-PV guidelines will support authors, editors, peer-reviewers, and users of disproportionality analyses using individual case safety report databases. Adopting these guidelines will lead to more transparent, comprehensive, and accurate reporting and interpretation of disproportionality analyses, facilitating the integration with other sources of evidence.

The REporting of A Disproportionality Analysis for DrUg Safety Signal Detection Using Individual Case Safety Reports in PharmacoVigilance (READUS-PV): Explanation and Elaboration.

In pharmacovigilance, disproportionality analyses based on individual case safety reports are widely used to detect safety signals. Unfortunately, publishing disproportionality analyses lacks specific guidelines, often leading to incomplete and ambiguous reporting, and carries the risk of incorrect conclusions when data are not placed in the correct context. The REporting of A Disproportionality analysis for drUg Safety signal detection using individual case safety reports in PharmacoVigilance (READUS-PV) statement was developed to address this issue by promoting transparent and comprehensive reporting of disproportionality studies. While the statement paper explains in greater detail the procedure followed to develop these guidelines, with this explanation paper we present the 14 items retained for READUS-PV guidelines, together with an in-depth explanation of their rationale and bullet points to illustrate their practical implementation. Our primary objective is to foster the adoption of the READUS-PV guidelines among authors, editors, peer reviewers, and readers of disproportionality analyses. Enhancing transparency, completeness, and accuracy of reporting, as well as proper interpretation of their results, READUS-PV guidelines will ultimately facilitate evidence-based decision making in pharmacovigilance.

Dental Adverse Effects of Anti-CD20 Therapies.

INTRODUCTION: Over the past few years, anti-CD20 therapies like rituximab, ocrelizumab or ofatumumab have seen an increase in interest in the treatment of neurological autoimmune disorders such as multiple sclerosis (MS), neuromyelitis optica spectrum disorders (NMOSD), or resistant forms of generalized myasthenia gravis (MG). They are generally well-tolerated, but recent reports have highlighted severe dental disorders in patients undergoing anti-CD20 therapies. The aim was to describe a series of cases and to compare with the available scientific literature. METHODS: We reviewed 6 patient cases with dental disorders during anti-CD20 therapy that were reported to the pharmacovigilance center. A disproportionality analysis was also conducted on Vigibase® for each anti-CD20 and each adverse effect described in the cases. RESULTS: Six cases of dental and gingival conditions in relatively young patients were reported (median age: 40.5 years old [min: 34; max: 79]). Oral conditions were developed in four patients with MS treated with ocrelizumab and in two patients receiving rituximab (one patient with MG and one with NMOSD). The onset of oral conditions ranged from 10 days to 2 years after treatment initiation. Notably, all patients treated with ocrelizumab experienced gingival recession. Various dental pathologies were observed, including tooth loss, dental pain, caries, brittle teeth, dental fractures, dental abscesses, and periodontitis. Analysis of Vigibase® revealed 284 worldwide cases of dental and gingival conditions under ocrelizumab, 386 cases under rituximab, and 80 under ofatumumab. Significant associations were found between these therapies and dental pathologies, particularly tooth abscesses and infections. CONCLUSION: To our knowledge, this is the first case series reporting dental conditions developed in patients long-term treated with anti-CD20 treatments. This issue, literature data, and Vigilyze® analysis might be considered a safety signal that necessitates being confirmed with more robust data, such as a retrospective study with a control group. Meanwhile, proactive measures are essential like frequent dental checkups and dental hygienic measures to prevent oral health problems associated with anti-CD20 therapies.

Optimization of Rituximab Therapy in Adult Patients With PLA2R1-Associated Membranous Nephropathy With Artificial Intelligence.

Introduction: Rituximab is a first-line treatment for membranous nephropathy. Nephrotic syndrome limits rituximab exposure due to urinary drug loss. Rituximab underdosing (serum level <2 µg/ml at month-3) is a risk factor for treatment failure. We developed a machine learning algorithm to predict the risk of underdosing based on patients' characteristics at rituximab infusion. We investigated the relationship between the predicted risk of underdosing and the cumulative dose of rituximab required to achieve remission. Methods: Rituximab concentrations were measured at month-3 in 92 sera from adult patients with primary membranous nephropathy, split into a training (75%) and a testing set (25%). A forward-backward machine-learning procedure determined the best combination of variables to predict rituximab underdosing in the training data set, which was tested in the test set. The performances were evaluated for accuracy, sensitivity, and specificity in 10-fold cross-validation training and test sets. Results: The best variables combination to predict rituximab underdosing included age, gender, body surface area (BSA), anti-phospholipase A2 receptor type 1 (anti-PLA2R1) antibody titer on day-0, serum albumin on day-0 and day-15, and serum creatinine on day-0 and day-15. The accuracy, sensitivity, and specificity were respectively 79.4%, 78.7%, and 81.0% (training data set), and 79.2%, 84.6% and 72.7% (testing data set). In both sets, the algorithm performed significantly better than chance (P < 0.05). Patients with an initial high probability of underdosing experienced a longer time to remission with higher rituximab cumulative doses required to achieved remission. Conclusion: This algorithm could allow for early intensification of rituximab regimen in patients at high estimated risk of underdosing to increase the likelihood of remission.

Cardiac and metabolic safety profile of antipsychotics in youths: A WHO safety database analysis.

A significant heterogeneity prevails in antipsychotics (APs) safety monitoring recommendations. Youths are deemed more vulnerable to cardiometabolic side effects. We aimed to assess age-dependent reporting of cardiac and metabolic disorders in youths, relying on the WHO safety database (VigiBase®). VigiBase® was queried for all reports of cardiac, glucose, lipid and nutritional disorders involving APs. Patients <18 years were classified as pediatric population. Disproportionality analyses relied on the Information Component (IC): the positivity of the lower end of its 95 % confidence interval was required to suspect a signal. We yielded 4,672 pediatric reports. In disproportionality analysis, nutritional disorders were leading in youths (IC 3.9 [3.9-4.0]). Among healthcare professionals' reports, stronger signals were detected in youths than in adults. Children had the greatest signal with nutritional disorders (IC 4.7 [4.6-4.8]). In adolescents, aripiprazole was ascribed to non-alcoholic steatohepatitis (NASH). Our findings, based on real-world data, support the hypothesis of a greater propensity for nutritional disorders in youths, despite limitations of pharmacovigilance studies. We suggest specific safety profiles, such as aripiprazole and NASH. Pending more answers from population-based studies, a careful anamnesis should seek for risk factors before AP initiation. A cautious monitoring is warranted to allow earlier identification of side effects.

An artificial intelligence algorithm for co-clustering to help in pharmacovigilance before and during the COVID-19 pandemic.

AIMS: Monitoring drug safety in real-world settings is the primary aim of pharmacovigilance. Frequent adverse drug reactions (ADRs) are usually identified during drug development. Rare ones are mostly characterized through post-marketing scrutiny, increasingly with the use of data mining and disproportionality approaches, which lead to new drug safety signals. Nonetheless, waves of excessive numbers of reports, often stirred up by social media, may overwhelm and distort this process, as observed recently with levothyroxine or COVID-19 vaccines. As human resources become rarer in the field of pharmacovigilance, we aimed to evaluate the performance of an unsupervised co-clustering method to help the monitoring of drug safety. METHODS: A dynamic latent block model (dLBM), based on a time-dependent co-clustering generative method, was used to summarize all regional ADR reports (n = 45 269) issued between 1 January 2012 and 28 February 2022. After analysis of their intra and extra interrelationships, all reports were grouped into different cluster types (time, drug, ADR). RESULTS: Our model clustered all reports in 10 time, 10 ADR and 9 drug collections. Based on such clustering, three prominent societal problems were detected, subsequent to public health concerns about drug safety, including a prominent media hype about the perceived safety of COVID-19 vaccines. The dLBM also highlighted some specific drug-ADR relationships, such as the association between antiplatelets, anticoagulants and bleeding. CONCLUSIONS: Co-clustering and dLBM appear as promising tools to explore large pharmacovigilance databases. They allow, 'unsupervisedly', the detection, exploration and strengthening of safety signals, facilitating the analysis of massive upsurges of reports.

Drug-induced cardiac toxicity and adverse drug reactions, a narrative review.

Drug-induced cardiotoxicity is a primary concern in both drug development and clinical practice. Although the heart is not a common target for adverse drug reactions, some drugs still cause various adverse cardiac events, with sometimes severe consequences. Direct cardiac toxicity encompasses functional and structural changes of the cardiovascular system due to possible exposure to medicines. This phenomenon extends beyond cardiovascular drugs to include non-cardiovascular drugs including anticancer drugs such as tyrosine kinase inhibitors, anthracyclines and immune checkpoint inhibitors (ICIs), as well as various antipsychotics, venlafaxine, and even some antibiotics (such as macrolides). Cardiac ADRs comprise an array of effects, ranging from heart failure and myocardial ischemia to valvular disease, thrombosis, myocarditis, pericarditis, arrhythmias, and conduction abnormalities. The underlying mechanisms may include disturbances of ionic processes, induction of cellular damage via impaired mitochondrial function, and even hypercoagulability. To mitigate the impact of drug-induced cardiotoxicity, multi-stage evaluation guidelines have been established, following the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) guidelines for in vitro and in vivo testing. Despite preclinical safeguards, post-marketing surveillance remains critical, as certain cardiotoxic drugs may escape initial scrutiny. Indeed, historical data show that cardiovascular ADRs contribute to almost 10% of market withdrawals. The impact of drug-induced cardiotoxicity on cardiac issues, particularly heart failure, is often underestimated, with incidence rates ranging from 11.0% to over 20.0%. We here comprehensively examine different patterns of drug-induced cardiotoxicity, highlighting current concerns and emerging pharmacovigilance signals. Understanding the underlying mechanisms and the associated risk factors is critical in order to promptly identify, effectively manage, and proactively prevent drug-induced cardiac adverse events. Collaborative efforts between physicians and cardiologists, coupled with thorough assessment and close monitoring, are essential to ensuring patient safety in the face of potential drug-induced cardiotoxicity.

What should be done to combat misinformation about health products?

The increasing role of digital technology, social media, the wide range of channels and the volume of information, the role of medicine as a societal subject, public information that is insufficient and poorly suited to situations of uncertainty are all observations which led to the theme of this round table. After discussing the definition of disinformation, which is not limited to fake news, and talking about contributors who misinform, whether intentionally or not, the participants of this round table made nine recommendations (R) to combat disinformation about health products: create a collaborative platform, information/training on health products, a platform with five major characteristics, namely accessibility, flexibility, objectivity, transparency and independence, as well as media suited to the different targets (R1); promote basic knowledge on health products: education/training to restore the particularly poor image of medication, and teach the public how to use basic concepts appropriately (R2); improve communication to the public based on the observation that information is the main weapon against misinformation and entails, in particular, coordinating communication from the different institutions to make public information more audible, making institutional messages clearer, ensuring they are more factual and prioritising them (R3); know how to communicate using the correct codes and tools (R4), because, to be understood, the substance and the form are inseparable; develop research on communication in the field of health products (R5); acquire tools to identify and regulate as soon as possible (R6); keep check of content by developing critical thinking (R7); define quality criteria for information sources (R8); identify, assess and reference initiatives for the public that could be placed on the platform (R9).

Iatrogenic triggers for anorexia nervosa and bulimia nervosa: A WHO safety database disproportionality analysis.

Eating disorders, characterized by abnormal eating, weight control behaviors or both include anorexia nervosa (AN) and bulimia nervosa (BN). We investigated their potential iatrogenic triggers, using real-world data from the WHO safety database (VigiBase®). VigiBase® was queried for all AN and BN reports. The reports were classified as `pediatric' or `adult' according to age. Disproportionality analyses relied on the Information Component (IC), in which a 95% confidence interval lower-end positivity was required to suspect a signal. Our queries yielded 309 AN and 499 BN reports. Isotretinoin was disproportionately reported in pediatric AN (IC 3.6; [2.6-4.3]), adult AN (IC 3.1; [1.7-4.0]), and pediatric BN (IC 3.9; [3.0-4.7]). Lamivudine (IC 4.2; [3.2-4.9]), nevirapine (IC 3.7; [2.6-4.6]), and zidovudine (IC 3.4; [2.0-4.3]) had the highest ICs in adult AN. AN was associated with isotretinoin, anticonvulsants in minors, and antiretroviral drugs in adults. In adults, BN was related to psychotropic and hormonally active drugs. Before treatment initiation, an anamnesis should seek out mental health conditions, allowing the identification of patients at risk of developing or relapsing into AN or BN. In addition to misuse, the hypothesis of iatrogenic triggers for AN and BN should also be considered.

The Neuropsychiatric Safety Profile of Lasmiditan: A Comparative Disproportionality Analysis with Triptans.

Migraine constitutes the world's second-leading cause of disability. Triptans, as serotonin 5-HT1B/1D receptor agonists, remain the first-line treatment, despite discouraged use in individuals at high cardiovascular risk. Lasmiditan, a selective lipophilic 5-HT1F agonist without vasoconstrictive effects, is an emerging option. We aimed to investigate the safety profile of lasmiditan in the WHO pharmacovigilance database (VigiBase®) using a comparative disproportionality analysis with triptans. VigiBase® was queried for all reports involving lasmiditan and triptans. Disproportionality analyses relied on the calculation of the information component (IC), for which 95% confidence interval (CI) lower bound positivity was required for signal detection. We obtained 826 reports involving lasmiditan. Overall, 10 adverse drug reaction classes were disproportionately reported with triptans, while only neurological (IC 1.6; 95% CI 1.5-1.7) and psychiatric (IC 1.5; 95% CI 1.3-1.7) disorders were disproportionately reported with lasmiditan. Sedation, serotonin syndrome, euphoric mood, and autoscopy had the strongest signals. When compared with triptans, 19 out of 22 neuropsychiatric signals persisted. The results of our analysis provide a more precise semiology of the neuropsychiatric effects of lasmiditan, with symptoms such as autoscopy and panic attacks. The cardiovascular adverse drug reaction risk with triptans was confirmed. In contrast, caution is warranted with lasmiditan use in patients with neurological or psychiatric comorbidities or serotonin syndrome risk. Our study was hindered by pharmacovigilance flaws, and further studies should help in validating these results. Our findings suggest that lasmiditan is a safe alternative for migraine treatment, especially when the neuropsychiatric risk is outweighed by the cardiovascular burden.

Drug-related catatonia in youths: real-world insights from the WHO Safety Database.

Catatonia is characterized by psychomotor alterations and reduced contact with the environment. Initially linked to schizophrenia, it also occurs in mood disorders or organic conditions. In children, catatonia remains poorly delineated, despite dramatically increasing the risk of premature death. As data on pediatric drug-induced catatonia bears many uncertainties, we aimed to characterize its age-dependent patterns, using real-world data from the WHO safety database (VigiBase®).VigiBase® was queried for all reports of catatonia registered up to December 8th 2022. Reports involving patients <18 years were classified into 3 groups: ≤23 months, 2-11 years, and 12-17 years. Disproportionality analyses relied on the Reporting Odds Ratio (ROR), and the positivity of the lower end of the 95% confidence interval of the Information Component (IC) was required to suspect a signal. Catatonia was evoked in 421 pediatric reports. In infants, vaccines were leading. In children, the main signals involved haloperidol (ROR 104.3; 95% CI 45.6-238.5), ondansetron (ROR 40.5; 95% CI 16.5-99.5), and ciclosporin (ROR 27.4; 95% CI 13.8-54.1). In adolescents, chlorpromazine (ROR 199.1; 95% CI 134.8-294.1), benzatropine (ROR 193; 95% CI 104.1-361.6), and olanzapine (ROR 135.7; 95% CI 104.6-175.9) reached the highest RORs. In infants, catatonia was related to vaccines, it was ascribed to multiple drugs in children, and mainly to psychotropic drugs in adolescents. Less suspected drugs, such as ondansetron, were highlighted. Despite limitations inherent in spontaneous reporting systems, this study supports that a careful anamnesis is warranted to separate catatonia associated with medical conditions from drug-induced catatonia in pediatric patients.

Zoledronate and osteonecrosis of the jaw in osteoporosis: incidence and risk factors. Analysis of the French Pharmacovigilance Database.

INTRODUCTION: Bisphosphonate-related osteonecrosis of the jaw (BRONJ) have been characterized with the use of oral bisphosphonates in osteoporosis and zoledronate in oncology. Uncertainties remain, though, with the occurrence of BRONJ related to the use of zoledronate in osteoporosis. OBJECTIVES: We aimed to estimate the incidence and characterize the risk factors of zoledronate-associated BRONJ in osteoporosis as compared with oral bisphosphonates in real life setting. METHODS: Cases of BRONJ associated with zoledronate, alendronate or risedronate were extracted from the French pharmacovigilance database up to 2020. The incidence of BRONJ was estimated as their respective numbers related to cases of BRONJ in patients treated with bisphosphonates for osteoporosis, over the same period, according to the Medic'AM database. RESULTS: Between 2011 and 2020, BRONJ incidence with zoledronate was 9.6/100,000 patient-year (PY), significantly higher than with alendronate (5.1/100,000 PY, P<0.001), and risedronate (2.0/100,000 PY, P<0.001). The number of patients treated with bisphosphonates has steadily decreased by 44.5% over 10 years. Meanwhile, the incidence of BRONJ decreased (5.8/100,000 PY in 2011; 1.5/100,000 in 2020), although a rebound was observed in 2018, including 47.6% of BRONJ following denosumab. Apart from classical risk factors, recent dental cares stood out in more than 40% of BRONJ, and zoledronate had a shorter exposure time than oral bisphosphonates. CONCLUSIONS: In a real-life setting, our data confirm that zoledronate-associated BRONJ in osteoporosis is scarce, seeming slightly more common compared with oral bisphosphonates. We also raise awareness of dental care guidelines and greater vigilance when using bisphosphonates in patients with previous exposure to denosumab.

CAR-T Cells and the Kidney: Insights from the WHO Safety Database.

BACKGROUND: Chimeric antigen receptor T (CAR-T) cells have proven to be a game changer for treating several hematologic malignancies. Randomized controlled trials have highlighted potential life-threatening adverse drug reactions (ADRs), including cytokine release syndrome (CRS). Acute renal failure (ARF) has also been reported in 20% of the patients treated. However, an analysis of renal safety supported by large-scale real-life data seems warranted. PATIENTS AND METHODS: We queried VigiBase® for all reports of the Standardised MedDRA Query "acute renal failure" (ARF) involving a CAR-T cell, registered until 24 July 2022. Disproportionality for this ADR was analyzed through calculation of the Information Component [IC (95% confidence interval)]. A positive lower end of the 95% confidence interval of the IC is the threshold used in statistical signal detection in VigiBase®. The same analysis was carried out for various hydroelectrolytic disorders. RESULTS: We gathered 224 reports of ARF, and 125 reports of hydroelectrolytic disorders involving CAR-T cells. CAR-T cells were disproportionately reported with ARF [IC 1.5 (1.3-1.7)], even after excluding reports mentioning CRS. A significant disproportionate reporting was also found for hypernatremia [IC 3.1 (2.2-3.8)], hyperphosphatemia [IC 3.1 (1.8-3.9)], hypophosphatemia [IC 2.0 (0.6-2.9)], metabolic acidosis [IC 1.8 (1.2-2.2)], hyponatremia [IC 1.6 (1.1-2.0)], and hypercalcemia [IC 1.4 (0.5-2.1)]. There was no disproportionate reporting of dyskalemia. CONCLUSIONS: This study is limited by the inherent flaws of pharmacovigilance approaches. Nonetheless, our findings suggest that ARF and an array of hydroelectrolytic disorders are potential ADRs of CAR-T cell therapy, in real-life settings and in a nonselected population.

Role of spontaneous reporting in investigating the relationship between mRNA COVID-19 vaccines and myocarditis: The French perspective.

AIM OF THE STUDY: Post-mRNA coronavirus diseases 2019 (COVID-19) vaccines myocarditis emerged as a rare adverse effect, particularly in adolescents and young adults, and was labeled as such for both vaccines in the summer of 2021. This study aims to summarize the timeline and process of signal detection, substantiation, and quantification of myocarditis cases related to mRNA vaccines in France. METHODS: The intensive monitoring plan for COVID-19 vaccine safety was based on case-by-case analysis of all cases collected in the French spontaneous reporting database (Base nationale de pharmacovigilance, BNPV). Cases were evaluated by drug safety medical professionals and discussed at a national level for signal detection purposes. Reported cases were compared to the number of vaccine-exposed persons up to September 30th, 2021. Reporting rates (Rr) of myocarditis per 100,000 injections were calculated and stratified according to age, gender, and injection rank of BNT162b2 and mRNA-1273 vaccines. Poisson distribution was used to compute Rrs 95% Confidence Interval (95% CI). RESULTS: The case-by-case analysis detected a possible cluster of myocarditis in April 2021 (5 cases, 4 after the 2nd injection). In June 2021, the signal was substantiated with 12 cases (9 related to BNT162b2, and 3 to mRNA-1273). As of September 2021, almost 73 million BNT162b2 and 10 million mRNA-1273 doses had been injected. The Rr per 100,000 injections was 0.5 (0.5-0.6) for BNT162b2 and 1.1 (95% CI 0.9-1.3) for mRNA-1273. The difference among vaccines was more pronounced after the second injection, particularly in men aged 18-24 years (4.3 [3.4-5.5] for BNT162b2 vs. 13.9 [9.2-20.1] for mRNA-1273) and aged 25-29 years (1.9 [1.2-2.9] vs. 7.0 [3.4-12.9]). CONCLUSION: The study highlighted the role of the spontaneous reporting system in the detection, assessment, and quantification of myocarditis related to m-RNA vaccines. It suggested from September 2021 that mRNA-1273 was reasonably related to a higher risk of myocarditis than BNT162b2 in people under 30, particularly after the second injection.

Monitoring the safety of drugs and COVID-19 vaccines by the French Pharmacovigilance Centers during the pandemic: A win-win bet with Health Authorities!

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) pandemic virus was a "health crisis" and a significant burden also for the French pharmacovigilance system. It took its toll in 2 phases, the first being in early 2020 when very little was known, and during which the missions of the 31 Regional Pharmacovigilance Centers (RPVCs) from university hospitals were to detect adverse reactions of drugs used in the context of the disease. Whether as a possible aggravating role on COVID-19, or displaying a different safety profile during its course, or to assess safety of curative treatment, this phase preceded that of the arrival of dedicated vaccines. Then the RPVCs' missions were to detect, as early as possible, any new serious adverse effect leading to a potential signal that would modify the benefit/risk ratio of a vaccine and require the implementation of health safety measures. During these two distinct periods, signal detection remained the core business of the RPVCs. Each RPVC had to organize itself to handle an unprecedented surge of declarations and requests for advice, from health care professionals and patients alike. "Leading" RPVCs, who were in charge of monitoring vaccines, had to deal with an extraordinary workload (still going on to this date), to generate in real-time and on a weekly basis, a summary of all the adverse drug reaction (ADR) reports as well as an extended analysis of the different safety signals. The organization put in place at the beginning of the health crisis, adapted to the context of the vaccines, allowed to meet the challenge of real-time pharmacovigilance monitoring, and to identify many safety signals. Efficient "short-circuits exchanges" with the French Regional Pharmacovigilance Centers Network (RPVCN) were paramount to the National Agency for the Safety of Medicines and Health Products (ANSM) to develop an optimal collaborative partnership. The French RPVCN has shown at this occasion both agility and flexibility, swiftly adapting to vaccine- and media-related unrest, and demonstrated its effectiveness in the early detection of safety signals. This crisis also confirmed the superiority of manual/human signal detection over automated ones, as the most effective and powerful tool to date to rapidly detect and validate a new ADR and enable to elaborate rapid risk reduction measures. To maintain the performance of French RPVCN in signal detection and to monitor all drugs as they should, and as expected by our fellow citizens, a new funding model should be considered.

A HPLC-DAD method to facilitate large-scale therapeutic drug monitoring of dalbavancin.

Dalbavancin, a long-acting lipoglycopeptide antibiotic targeting susceptible Gram-positive bacteria, is WHO critically important antibiotic, increasingly used in critical situations such as osteoarticular infections. To ensure its effectiveness and its safety, the therapeutic drug monitoring (TDM) of dalbavancin is strongly recommended. In the absence of an available minimum inhibitory concentration (MIC), the European Committee on Antimicrobial Susceptibility Testing (EUCAST) recommends a breakpoint of 0.125 mg/L for Staphylococcus aureus, corresponding to a trough target concentration of 25 mg/L. Nowadays, the TDM is usually performed using a high-performance liquid chromatography (HPLC) method coupled with a tandem mass spectrometry. However, this expensive and specialized equipment and reagents may be difficult to acquire for non-specialized laboratories. The use of HPLC coupled with diode array detector (DAD) facilitates TDM with a lower cost, while preserving the reliability of the results. Our aim was to provide a sensitive and specific method, relying on HPLC-DAD for extending the TDM of dalbavancin beyond non-specialized labs, therefore maximizing its efficiency and Benefit/risk ratio. Our method complied with the European Medicines Agency guidelines of bioanalytical validation. Irrespective of the concentrations of dalbavancin, the coefficient of variation < 10% confirmed the reliability of this analytical method, with a calibration curve ranging from 5 to 100 mg/L. No interferences nor carryover was observed. Our HPLC-DAD method, combined with a simple extraction, provides a widely usable, inexpensive and easy-to-implement new asset for the TDM of Dalbavancin.

A Hybrid Algorithm Combining Population Pharmacokinetic and Machine Learning for Isavuconazole Exposure Prediction.

OBJECTIVES: Maximum a posteriori Bayesian estimation (MAP-BE) based on a limited sampling strategy and a population pharmacokinetic (POPPK) model is used to estimate individual pharmacokinetic parameters. Recently, we proposed a methodology that combined population pharmacokinetic and machine learning (ML) to decrease the bias and imprecision in individual iohexol clearance prediction. The aim of this study was to confirm the previous results by developing a hybrid algorithm combining POPPK, MAP-BE and ML that accurately predicts isavuconazole clearance. METHODS: A total of 1727 isavuconazole rich PK profiles were simulated using a POPPK model from the literature, and MAP-BE was used to estimate the clearance based on: (i) the full PK profiles (refCL); and (ii) C24h only (C24h-CL). Xgboost was trained to correct the error between refCL and C24h-CL in the training dataset (75%). C24h-CL as well as ML-corrected C24h-CL were evaluated in a testing dataset (25%) and then in a set of PK profiles simulated using another published POPPK model. RESULTS: A strong decrease in mean predictive error (MPE%), imprecision (RMSE%) and the number of profiles outside ± 20% MPE% (n-out20%) was observed with the hybrid algorithm (decreased in MPE% by 95.8% and 85.6%; RMSE% by 69.5% and 69.0%; n-out20% by 97.4% and 100% in the training and testing sets, respectively. In the external validation set, the hybrid algorithm decreased MPE% by 96%, RMSE% by 68% and n-out20% by 100%. CONCLUSION: The hybrid model proposed significantly improved isavuconazole AUC estimation over MAP-BE based on the sole C24h and may improve dose adjustment.

[Monitoring the safety of drugs and COVID-19 vaccines by the French Pharmacovigilance Centers during the pandemic: a win-win bet with Health Authorities!] / Pharmacovigilance des médicaments et des vaccins contre la COVID-19 durant la pandémie : comment le Réseau français des centres régionaux de pharmacovigilance a relevé le défi ?

The pandemic subsequent to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus resulted, for the French institutional pharmacovigilance, in a "health crisis" in 2 phases: the coronavirus disease 2019 - "COVID-19" phase during which the missions of the Regional Pharmacovigilance Centres (RPVC) were to detect a possible impact of drugs on this disease, as whether existed a possible aggravating role of certain drugs, or the safety profile of drugs used for the management of COVID-19 could evolve. The second phase followed the availability of COVID-19 vaccines, during which the RPVCs' missions were to detect as early as possible any new serious adverse effect, source of a potential signal that would modify the benefit/risk ratio of a vaccine and require the implementation of health safety measures. During these two periods, signal detection remained the core business of the RPVCs. The RPVCs had to organize themselves to handle an historical surge of declarations and requests for advice, whereas the RPVCs in charge of monitoring vaccines had to deal with an extraordinary dense activity over a long period of time, in order to produce in real time and on a weekly basis, a summary of all the declarations and an analysis of safety signals. The national organization put in place made it possible to meet the challenge of real-time pharmacovigilance monitoring of 4 vaccines with conditional marketing authorizations. Short-circuit efficient exchanges with the French Regional Pharmacovigilance Centres Network was paramount for the French National Agency for medicines and health products (Agence nationale de sécurité du médicament et des produits de santé) to develop an optimal collaborative partnership. The RPVC network has shown agility and flexibility, has been able to adapt swiftly and demonstrated its effectiveness in the early detection of safety signals. This crisis confirmed the superiority of manual/human signal detection as the most effective and powerful tool to date, to rapidly detect a new adverse drug reaction and enable to elaborate rapid measures of risk reduction. In order to maintain the performance of French RPVCs in signal detection and to monitor all drugs as they should and as expected by our fellow citizens, a new funding model correcting the inadequacy of RPVCs' expertise resources in relation to the volume of reports should be considered.

Pharmacovigilance follow-up of patients in the context of the COVID-19 pandemic.

INTRODUCTION: In the context of COVID-19 pandemic, a national pharmacovigilance survey was set up in March 2020. The purpose of this survey was to ensure continuous monitoring of adverse drug reactions (ADRs) in patients with COVID-19, not only related to the drugs used in this indication but also related to all drugs administered to these patients or suspected of having promoted the infection. MATERIAL AND METHODS: This descriptive study was based on data extracted from the French Pharmacovigilance Database from 1 January 2020 to 30 September 2021. Misuse was also analysed through the MESANGE project. The ADRs were classified according to three groups: "drugs used to treat COVID-19", "other drugs administered to COVID-19 positive patients" and "drugs suspected of having promoted COVID-19". The data were also presented according to 2 periods (period one was from January to June 2020 and period two from July 2020 onwards). RESULTS: Among 2189 included cases, 67.1% were serious. Cases were mainly related to "other drugs administrated to COVID-19 positive patients" (58.5%) followed by "drugs used to treat COVID-19" (33.7%) and "drugs suspected of having promoted COVID-19" (7.8%). Drugs used to treat COVID-19 and their main safety profile were different depending on the period: mostly hydroxychloroquine (51%) with heart injury and lopinavir/ritonavir (42%) with liver injury for the first period, and dexamethasone (46%) with hyperglycemia and tocilizumab (28%) with liver injury for the second period. The drugs suspected of worsening COVID-19 differed in both periods especially for non-steroidal anti-inflammatory drugs mainly reported in period 1 (41.5% versus 8.2% in period 2). Other immunosuppressive drugs were in the majority in the second period (85.7%), with mainly methotrexate (15.3%), anti-CD20 (15.3%) and anti-TNF alpha (10.5%). No confirmed safety signal was identified among other drugs administered to patients with COVID-19. The profile of ADRs and suspected drugs was similar between the 2 periods. The study of misuse in outpatient settings identified in both periods mainly hydroxychloroquine, azithromycin, ivermectin and zinc±vitamin C. DISCUSSION: This survey, based on real-time pharmacological and medical assessment of ADRs and weekly meetings in a specific national committee, made it possible to identify relevant safety signals which contribute to patient care with no delay. The main safety signal highlighted was serious cardiac damage under hydroxychloroquine, alone or combined with azithromycin and also with lopinavir/ritonavir. This signal has contributed to the evolution of the recommendations for these 2 drugs. The methodology of this survey has been taken over and is still going on for the pharmacovigilance monitoring of vaccines against COVID-19, for monoclonal antibodies used against COVID-19 and also for Paxlovid® (nirmatrelvir/ritonavir) which benefit from dedicated surveys.