Antipsychotic-Related DRESS Syndrome: Analysis of Individual Case Safety Reports of the WHO Pharmacovigilance Database.

INTRODUCTION: Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is gaining attention in pharmacovigilance, but its association with antipsychotics, other than clozapine, is still unclear. METHODS: We conducted a case/non-case study with disproportionality analysis based on the World Health Organization (WHO) global spontaneous reporting database, VigiBase®. We analyzed individual case safety reports of DRESS syndrome related to antipsychotics compared to (1) all other medications in VigiBase®, (2) carbamazepine (a known positive control), and (3) within classes (typical/atypical) of antipsychotics. We calculated reporting odds ratio (ROR) and Bayesian information component (IC), with 95% confidence intervals (CIs). Disproportionate reporting was prioritized based on clinical importance, according to predefined criteria. Additionally, we compared characteristics of patients reporting with serious/non-serious reactions. RESULTS: A total of 1534 reports describing DRESS syndrome for 19 antipsychotics were identified. The ROR for antipsychotics as a class as compared to all other medications was 1.0 (95% CI 0.9-1.1). We found disproportionate reporting for clozapine (ROR 2.3, 95% CI 2.1-2.5; IC 1.2, 95% CI 1.1-1.3), cyamemazine (ROR 2.3, 95% CI 1.5-3.5; IC 1.2, 95% CI 0.5-1.7), and chlorpromazine (ROR 1.5, 95% CI 1.1-2.1; IC 0.6, 95% CI 0.1-1.0). We found 35.7% of cases with co-reported anticonvulsants, and 25% with multiple concurrent antipsychotics in serious compared to 8.6% in non-serious cases (p = 0.03). Fatal cases were 164 (10.7%). CONCLUSIONS: Apart from the expected association with clozapine, chlorpromazine and cyamemazine (sharing an aromatic heteropolycyclic molecular structure) emerged with a higher-than-expected reporting of DRESS. Better knowledge of the antipsychotic-related DRESS syndrome should increase clinicians' awareness leading to safer prescribing of antipsychotics.

Safety of Biological Therapies for Severe Asthma: An Analysis of Suspected Adverse Reactions Reported in the WHO Pharmacovigilance Database.

BACKGROUND: The management of uncontrolled severe asthma has greatly improved since the advent of novel biologic therapies. Up to August 2022, five biologics have been approved for the type 2 asthma phenotype: anti-IgE (omalizumab), anti-IL5 (mepolizumab, reslizumab, benralizumab), and anti-IL4 (dupilumab) monoclonal antibodies. These drugs are usually well tolerated, although long-term safety information is limited, and some adverse events have not yet been fully characterized. Spontaneous reporting systems represent the cornerstone for the detection of potential signals and evaluation of the real-world safety of all marketed drugs. OBJECTIVE: The aim of this study was to provide an overview of safety data of biologics for severe asthma using VigiBase, the World Health Organization global pharmacovigilance database. METHODS: We selected all de-duplicated individual case safety reports (ICSRs) attributed to five approved biologics for severe asthma in VigiBase, up to 31st August 2022 (omalizumab, mepolizumab, reslizumab, benralizumab and dupilumab). Descriptive frequency analyses of ICSRs were carried out both as a whole class and as individual products. Reporting odds ratios (ROR) with 95% confidence intervals (CIs) were used as the measure of disproportionality for suspected adverse drug reactions (ADRs) associated with the study drugs compared with either all other suspected drugs (Reference Group 1, RG1) or inhaled corticosteroids plus long-acting ß-agonists (ICSs/LABAs) (Reference Group 2, RG2) or with oral corticosteroids (OCSs) (Reference Group 3, RG3). RESULTS: Overall, 31,724,381 ICSRs were identified in VigiBase and 167,282 (0.5%) were related to study drugs; the remaining reports were considered as RG1. Stratifying all biologic-related ICSRs by therapeutic indication, around 29.4% (n = 48,440) concerned asthma use; omalizumab was mainly indicated as the suspected drug (n = 20,501), followed by dupilumab, mepolizumab, benralizumab and reslizumab. Most asthma ICSRs concerned adults (57%) and women (64.1%). Asthma biologics showed a higher frequency of serious suspected ADR reporting than RG1 (41.3% vs 32.3%). The most reported suspected ADRs included asthma, dyspnea, product use issue, drug ineffective, cough, headache, fatigue and wheezing. Asthma biologics were disproportionally associated with several unknown or less documented adverse events, such as malignancies, pulmonary embolism and deep vein thrombosis with omalizumab; alopecia and lichen planus with dupilumab; alopecia and herpes infections with mepolizumab; alopecia, herpes zoster and eosinophilic granulomatosis with polyangiitis related to benralizumab; and alopecia with reslizumab. CONCLUSIONS: The most frequently reported suspected ADRs of asthma biologics in VigiBase confirmed the presence of well-known adverse effects such as general disorders, injection-site reactions, nasopharyngitis, headache and hypersensitivity, while some others (e.g. asthma reactivation or therapeutic failure) could be ascribed to the indication of use. Moreover, the analysis of signals of disproportionate reporting suggests the presence of malignancies, effects on the cardiovascular system, alopecia and autoimmune conditions, requiring further assessment and investigation.

PAttern of drug use in PEdiatrics: An observational study in Italian hOSpitals (the PAPEOS study).

AIMS: To assess the extent of off-label drug use and the occurrence of suspected adverse drug reactions (ADRs) among paediatric patients in Italian hospitals. METHODS: We conducted a 2-year prospective cohort study across 22 Italian hospital wards from September 2020 to September 2022. As part of the surveillance project, we performed a 6-month retrieval of all reported ADRs and evaluated all drug prescriptions for their possible off-label use. Following an educational project on pharmacovigilance addressed to healthcare professionals in participating wards, the same data collection was performed. RESULTS: Among the 892 patients included in the study, 64% were admitted to paediatric wards and 36% to neonatal wards. Fifty per cent of all drugs prescribed were used off-label and mainly concerned the administration of a different dose from the one authorized. In neonatal wards, off-label prescriptions occurred slightly more often, with antibacterials being the most frequently used off-label drugs. A total of 35 reports of suspected ADRs were collected, five before the educational project and 30 afterwards. Based on product licence, 10 of the total 35 reports concerned at least one off-label drug use. CONCLUSIONS: The off-label use of drugs in treating paediatric patients was extensive in Italian hospitals. Regulatory interventions are needed to promote the use of drugs based on the latest available literature and improve ADR reporting on children. Paediatric indications and dosages of the drugs most commonly used in children should be supported by appropriate ad hoc studies.

Withdrawal Syndrome Following Discontinuation of 28 Antidepressants: Pharmacovigilance Analysis of 31,688 Reports from the WHO Spontaneous Reporting Database.

INTRODUCTION: Evidence is lacking on withdrawal syndrome related to individual antidepressants and relevant risk factors for severe reactions. OBJECTIVE: To ascertain whether antidepressants are associated with an increased reporting of withdrawal syndrome as compared with other medications, and to investigate risk factors for severe reactions. METHODS: This is a case/non-case pharmacovigilance study, based on the VigiBase®, the WHO global database of individual case safety reports of suspected adverse drug reactions. We performed a disproportionality analysis of reports of antidepressant-related withdrawal syndrome (calculating reporting odds ratio [ROR] and Bayesian information component [IC]). We compared antidepressants to all other drugs, to buprenorphine (positive control), and to each other within each class of antidepressants (selective serotonin reuptake inhibitors [SSRIs], tricyclics and other antidepressants). Antidepressants with significant disproportionate reporting were ranked in terms of clinical priority. Serious versus non-serious reactions were compared. RESULTS: There were 31,688 reports of antidepressant-related withdrawal syndrome were found. A disproportionate reporting was detected for 23 antidepressants. The estimated ROR for antidepressants altogether, compared to all other drugs, was 14.26 (95% CI 14.08-14.45), 17.01 for other antidepressants (95% CI 16.73-17.29), 13.65 for SSRIs (95% CI 13.41-13.90) and 2.8 for tricyclics (95% CI 2.59-3.02). Based on clinical priority ranking, the strongest disproportionate reporting was found for paroxetine, duloxetine, venlafaxine and desvenlafaxine, being comparable to buprenorphine. Withdrawal syndrome was reported as severe more often in males, adolescents, persons in polypharmacy, and with a longer antidepressant treatment duration (p < 0.05). CONCLUSIONS: Antidepressants are associated with an increased reporting of withdrawal syndrome compared with other drug classes. When prescribing and discontinuing antidepressants, clinicians should be aware of the potentially different proclivity of withdrawal syndrome across individual antidepressants, and the liability to experience more severe withdrawal symptoms in relation to specific patient characteristics.

Identifying and Characterizing Serious Adverse Drug Reactions Associated With Drug-Drug Interactions in a Spontaneous Reporting Database.

Background: Drug-drug interactions (DDIs) are an important cause of adverse drug reactions (ADRs). In literature most of studies focus only on potential DDIs, while detailed data on serious ADRs associated with DDIs are limited. Our aim is to identify and characterize serious ADRs caused by DDIs using a spontaneous reporting database. Methods: All serious ADR reports, not related to vaccines and with a "definite", "probable" or "possible" causality assessment, inserted into the National Pharmacovigilance database from Veneto Region (January 1, 2015 to May 31, 2020) were analyzed. A list of drug pairs was created by selecting the reports containing at least two suspected or concomitant drugs. We verified which drug pairs potentially interacted according to the online version of DRUGDEX® system. For each potential DDI we controlled whether the ADR description in the report corresponded to the interaction effect as described in Micromedex. A detailed characterization of all serious reports containing an occurring DDI was performed. Results: In the study period a total of 31,604 reports of suspected ADRs from the Veneto Region were identified, of which 2,195 serious reports (6.9% of all ADR reports) containing at least two suspected or concomitant drugs were analyzed. We identified 1,208 ADR reports with at least one potential DDI (55.0% of 2,195) and 381 reports (17.4% of 2,195 reports) with an occurring ADR associated with a DDI. The median age of patients and the number of contraindicated or major DDIs were significantly higher in reports with an occurring DDI. Warfarin was the most frequently reported interacting drug and the most common ADRs were gastrointestinal or cerebral hemorrhagic events. The proton pump inhibitors/warfarin, followed by platelet aggregation inhibitors/warfarin were the drug-drug combinations most frequently involved in ADRs caused by DDIs. The highest proportion of fatal reports was observed with platelet aggregation inhibitors/warfarin and antidepressants/warfarin. Conclusion: Our findings showed that about one-third of patients exposed to a potential DDI actually experienced a serious ADR. Furthermore, our study confirms that a spontaneous reporting database could be a valuable resource for identifying and characterizing ADRs caused by DDIs and the drugs leading to serious ADRs and deaths.

Bullous pemphigoid induced by dipeptidyl peptidase-4 (DPP-4) inhibitors: a pharmacovigilance-pharmacodynamic/pharmacokinetic assessment through an analysis of the vigibase®.

Objectives: To examine the signals of bullous pemphigoid (BP) with dipeptidyl peptidase-4 inhibitors (DPP-4i) in VigiBase® and the potential role of their pharmacodynamic/pharmacokinetic parameters in the occurrence of BP. Methods: Case/non-case analyses were performed in VigiBase® to examine the signal of BP [reporting odds ratio (ROR)] for gliptins. Secondly, the authors performed linear regression analyses to explore the association between DPP-4i signals for BP and their affinities toward different target enzymes (DPP-2, DPP-4, DPP-8, and DPP-9) and their volume of distribution (Vd). Results: A significant BP signal was found for DPP-4i. The ROR for pooled DPP-4i was 179.48 (95% CI: 166.41-193.58). The highest ROR was found for teneligliptin 975.04 (801.70-1185.87) and lowest for saxagliptin 18.9 (11.5-30.9). Linear regression analyses showed a considerable trend to significance for the linear correlation between the BP signal and gliptin affinity at DPP-4 (slope = 1.316 [-0.4385-3.21], p = 0.067, R2 = 0.40) but not the other enzyme targets, nor for Vd. Conclusion: The findings suggest a clinical relevance of gliptins selectivity for DDP-4 in the development of BP as a result of exposure to these drugs. Future preclinical and clinical studies are needed for a better understanding of this correlation.

Central nervous system-active drug abused and overdose in children: a worldwide exploratory study using the WHO pharmacovigilance database.

Recent epidemiological studies have reported an increase in central nervous system (CNS)-active drug abuse rates in paediatric settings, raising several public health concerns. No study to date has explored this issue worldwide. We performed an extensive analysis of drugs abuse/overdose reported for children in the last decade by using the largest pharmacovigilance database, i.e. the VigiBase, collecting adverse drug reaction reports that involved at least one suspect drug belonging to the Anatomical Therapeutic Chemical code "Nervous System" through the Standardised Medical Dictionary for Drug Regulatory Affairs Queries for Drug abuse. 8.682 reports matched our criteria. An increase in reporting activity was observed, starting from 2014; an intentional overdose was reported more frequently than an accidental one, with a difference between age groups. We retrieved 997 reports with death outcome. These referred more to adolescents (n = 538) than subjects of any other paediatric age group. Paracetamol and opioid analgesics were the most common suspect drugs in deaths across all age groups due to hypoxic-ischaemic encephalopathy, brain death, and cardio-respiratory arrest.Conclusion: The number of reports associated with drug abuse and overdose is increasing (for opioid and paracetamol-containing products) and a considerable number of adverse drug reactions are serious. Data on the patterns of use of such medicines from each country may help in implementing strategies of risk-minimisation and renewing healthcare recommendations worldwide. An increased clinical awareness of drug abuse and overdose is warranted, while continuing to provide effective treatments. What is Known: • The large increase in paediatric prescriptions for CNS-active drugs in the last 20 years has recently raised public health concerns about drug abuse and overdose. • No study to date has examined this issue in paediatric patients worldwide. What is New: • The number of paediatric reports associated with CNS drug abuse and intentional overdose is increasing, including those with fatal outcome; over 4 years; more than 35% of the reports was entered from European countries. • Opioid and paracetamol were most frequently suspected for ADRs with fatal outcome across all age groups, due to hypoxic-ischaemic encephalopathy and cardio-respiratory arrest, suggesting the need to implement strategies of risk-minimisation.

Normalizing Spontaneous Reports Into MedDRA: Some Experiments With MagiCoder.

Text normalization into medical dictionaries is useful to support clinical tasks. A typical setting is pharmacovigilance (PV). The manual detection of suspected adverse drug reactions (ADRs) in narrative reports is time consuming and natural language processing (NLP) provides a concrete help to PV experts. In this paper, we carry out experiments for testing performances of MagiCoder, an NLP application designed to extract MedDRA terms from narrative clinical text. Given a narrative description, MagiCoder proposes an automatic encoding. The pharmacologist reviews, (possibly) corrects, and then, validates the solution. This drastically reduces the time needed for the validation of reports with respect to a completely manual encoding. In previous work, we mainly tested MagiCoder performances on Italian written spontaneous reports. In this paper, we include some new features, change the experiment design, and carry on more tests about MagiCoder. Moreover, we do a change of language, moving to English documents. In particular, we tested MagiCoder on the CADEC dataset, a corpus of manually annotated posts about ADRs collected from the social media.

From narrative descriptions to MedDRA: automagically encoding adverse drug reactions.

CONTEXT: The collection of narrative spontaneous reports is an irreplaceable source for the prompt detection of suspected adverse drug reactions (ADRs). In such task qualified domain experts manually revise a huge amount of narrative descriptions and then encode texts according to MedDRA standard terminology. The manual annotation of narrative documents with medical terminology is a subtle and expensive task, since the number of reports is growing up day-by-day. OBJECTIVES: Natural Language Processing (NLP) applications can support the work of people responsible for pharmacovigilance. Our objective is to develop NLP algorithms and tools for the detection of ADR clinical terminology. Efficient applications can concretely improve the quality of the experts' revisions. NLP software can quickly analyze narrative texts and offer an encoding (i.e., a list of MedDRA terms) that the expert has to revise and validate. METHODS: MagiCoder, an NLP algorithm, is proposed for the automatic encoding of free-text descriptions into MedDRA terms. MagiCoder procedure is efficient in terms of computational complexity. We tested MagiCoder through several experiments. In the first one, we tested it on a large dataset of about 4500 manually revised reports, by performing an automated comparison between human and MagiCoder encoding. Moreover, we tested MagiCoder on a set of about 1800 reports, manually revised ex novo by some experts of the domain, who also compared automatic solutions with the gold reference standard. We also provide two initial experiments with reports written in English, giving a first evidence of the robustness of MagiCoder w.r.t. the change of the language. RESULTS: For the current base version of MagiCoder, we measured an average recall and precision of 86.9% and 91.8%, respectively. CONCLUSIONS: From a practical point of view, MagiCoder reduces the time required for encoding ADR reports. Pharmacologists have only to review and validate the MedDRA terms proposed by the application, instead of choosing the right terms among the 70 K low level terms of MedDRA. Such improvement in the efficiency of pharmacologists' work has a relevant impact also on the quality of the subsequent data analysis. We developed MagiCoder for the Italian pharmacovigilance language. However, our proposal is based on a general approach, not depending on the considered language nor the term dictionary.

Does high-dose benzodiazepine abuse really produce liver toxicity? Results from a series of 201 benzodiazepine monoabusers.

BACKGROUND: Several side-effects related to prolonged benzodiazepines (BZD) use have been reported. Given the primary role of liver in BZD metabolism, toxicity related to prolonged high-dose BZD use could be conceivable. No data are available on the long-term impact of high-dose BZD use on liver. RESEARCH DESIGN AND METHODS: A total of 201 BZD mono-abusers admitted to an Addiction Unit for detoxification were evaluated. Liver enzymes were evaluated at admission, before starting any treatment. An elevation of more than five times the upper limit of normal range (ULN) in serum ALT or conjugated bilirubin, or a combined elevation of AST, alkaline phosphatase and total bilirubin, one of which exceeding >2 the ULN, was considered diagnostic for drug-induced liver injury. RESULTS: None of the evaluated subjects showed significant alterations of liver enzymes. Those with the highest transaminase levels were showing high body mass index. Twenty patients (10%) showed elevated gamma-glutamyl-transferase. No alteration of alkaline phosphatase, nor bilirubin was found in any patient. The average dosage of BZD was 307 mg of diazepam-equivalents for 7 years. CONCLUSIONS: Present data suggest that prolonged use of high-dose BZD, although very dangerous for several reasons, does not seem to produce a significant drug-induced liver injury.

Italian monitoring registries: a tool for a safer use of innovative drugs? Data from the national pharmacovigilance system.

OBJECTIVES: Our aim was to investigate the ADR reports of drugs with a monitoring registry (MR drugs), in particular those related to abuse/misuse, medication error, overdose, which might indicate an unsafe use. We compared these reports with those of similar drugs without a registry (non-MR drugs), thus verifying whether the registries could be useful tools for a safer use of innovative drugs. METHODS: All ADR reports included in the Italian Pharmacovigilance Network database from January 1st 2013 to December 31st 2015 (vaccines and literature cases excluded) were analysed. We compared the ADR reports of MR and non-MR drugs with the same ATC class at III level. RESULTS: The percentage of ADR reports with a completed 'Section 7' was significantly lower for MR compared to non-MR drugs (2.0 versus 6.2, p < 0.001). The difference concerned in particular the ADR reports related to abuse/misuse, medication errors and overdose. These reports, more strictly related to inappropriate use, were less frequent for MR drugs in all the considered ATC classes. CONCLUSIONS: Our study suggests that monitoring registries could be a useful tool for the reduction of frequency of ADRs related to inappropriate use, besides the control of pharmaceutical budget.

Risk of acute and serious liver injury associated to nimesulide and other NSAIDs: data from drug-induced liver injury case-control study in Italy.

AIM: Drug-induced liver injury is one of the most serious adverse drug reactions and the most frequent reason for restriction of indications or withdrawal of drugs. Some nonsteroidal anti-inflammatory drugs (NSAIDs) were withdrawn from the market because of serious hepatotoxicity. We estimated the risk of acute and serious liver injury associated with the use of nimesulide and other NSAIDs, with a prevalence of use greater than or equal to 5%. METHODS: This is a multicentre case-control study carried out in nine Italian hospitals from October 2010 to January 2014. Cases were adults, with a diagnosis of acute liver injury. Controls presented acute clinical disorders not related to chronic conditions, not involving the liver. Adjusted odds ratio (ORs) with 95% confidence interval (CI) were calculated initially with a bivariate and then multivariate analysis. RESULTS: We included 179 cases matched to 1770 controls. Adjusted OR for acute serious liver injury associated with all NSAIDs was 1.69, 95% CI 1.21-2.37. Thirty cases were exposed to nimesulide (adjusted OR 2.10, 95% CI 1.28-3.47); the risk increased according to the length of exposure (OR > 30 days: 12.55, 95% CI 1.73-90.88) and to higher doses (OR 10.69, 95% CI 4.02-28.44). Risk of hepatotoxicity was increased also for ibuprofen, used both at recommended dosages (OR 1.92, 95% CI 1.13-3.26) and at higher doses (OR 3.73, 95% CI 1.11-12.46) and for ketoprofen ≥ 150 mg (OR 4.65, 95% CI 1.33-10.00). CONCLUSION: Among all NSAIDs, nimesulide is associated with the higher risk, ibuprofen and high doses of ketoprofen are also associated with a modestly increased risk of hepatotoxicity.