Pharmacovigilance: reporting requirements throughout a product's lifecycle

Investigating drug-induced urinary retention: a pharmacovigilance analysis of FDA adverse event reports from 2004 to 2024

BACKGROUND

Drug-induced urinary retention (DIUR) can severely impact patient quality of life and complicate treatment. This study investigates the incidence and characteristics of DIUR using data from the FDA Adverse Event Reporting System (FAERS) over 20 years.

METHODS

FAERS reports related to urinary retention (UR) from Q1 2004 to Q1 2024 were analyzed. Potential causative drugs were identified, and the top 30 drugs with the most UR reports were ranked. Statistical disproportionality analyses, including Proportional Reporting Ratio (PRR) and Reporting Odds Ratio (ROR), were conducted to detect significant safety signals.

RESULTS

Out of 17,703,515 reports in the FAERS database 28,423 cases of UR were identified. Anticholinergics, antidepressants, and opioids were the most frequently implicated drug classes. The highest ROR and PRR values were observed for drugs like ezogabine. Additionally, less commonly associated drugs, such as adalimumab and others, were implicated, suggesting potential under-recognition of this adverse effect. However, these associations should be interpreted with caution, as they do not confirm a direct causal relationship.

CONCLUSION

This study underscores the importance of pharmacovigilance in identifying and understanding DIUR. Further research is needed to confirm these findings and develop strategies to manage and reduce the risk, improving patient outcomes.

Moderate and serious adverse reactions to antimicrobials among hospitalized children: A systematic review

AIMS

This systematic review aimed to investigate the occurrence of moderate and severe adverse drug reactions (ADRs) to antimicrobials among hospitalized children.

METHODS

The PubMed/Medline, Cochrane Library, Embase, Web of Science, Scopus, Lilacs and CINAHL databases were searched in April 2023 to systematically review the published data describing the characteristics of moderate and severe ADRs to antimicrobials among hospitalized children. The search was carried out without date restrictions, up to the search date (April, 2023).

RESULTS

At the end of the selection process, 30 articles met the inclusion criteria. Cutaneous reactions were the primary serious clinical manifestations in most articles (19/30), followed by erythema multiforme (71 cases), Stevens-Johnson syndrome (72 cases), and toxic epidermal necrolysis (22 cases). The main antimicrobials involved in moderate and severe ADRs were penicillins, cephalosporins and sulfonamides. Regarding the primary outcomes, 30% (9/30) of the articles reported deaths, and 46.7% (14/30) of studies reported increased lengths of hospital stay, need for intensive care, and transfer to another hospital. Regarding the main interventions, 10% (3/30) of the articles mentioned greater monitoring, suspension, medication substitution or prescription of specific medications for the symptomatology.

CONCLUSIONS

The findings of this review could be used to identify areas for improvement and help health professionals and policymakers develop strategies. In addition, we emphasize the importance of knowing about ADRs so that there is adequate management to avoid undesirable consequences.

Mortality and Serious Adverse Events Associated With Glucagon-Like Peptide-1 Receptor Agonists: A Pharmacovigilance Study Using the FDA Adverse Event Reporting System

Purpose Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are an increasingly prevalent class of drugs for managing overweight/obesity and type 2 diabetes mellitus. Postmarket surveillance is essential for characterizing their risk profiles in real-world patient populations as clinical use increases. This study investigated the association of GLP-1RAs with mortality and serious adverse events (AEs) reported to the Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). Methods A disproportionality analysis was conducted utilizing FAERS data from Q2 2005 to Q1 2024 to identify AEs listing an approved GLP-1RA as the primary suspect drug. The reporting odds ratio (ROR) was calculated for mortality and serious AEs associated with each GLP-1RA compared to the combined group of all other GLP-1RAs. A signal of disproportionate reporting indicating a potential safety concern was defined as a lower bound of the 95% CI for the ROR exceeding 1.0. Results The analysis identified 287,201 AEs associated with GLP-1RAs during the study period. Disproportionality analyses revealed statistically significant elevated signals for mortality with the earliest approved GLP-1RAs: Byetta (ROR = 2.20, 95% CI: 2.06-2.34) and Victoza (ROR = 2.12, 95% CI: 1.98-2.28). Significant elevated signals for serious AEs were identified with the semaglutide products Ozempic (ROR = 2.77, 95% CI: 2.69-2.85), Rybelsus (ROR = 2.42, 95% CI: 2.26-2.60), and Wegovy (ROR = 1.30, 95% CI: 1.22-1.39); the liraglutide products Victoza (ROR = 2.10, 95% CI: 2.04-2.15) and Saxenda (ROR = 2.21, 95% CI: 2.09-2.33); and Byetta (ROR = 1.11, 95% CI: 1.08-1.14) compared to other GLP-1RAs. The newer GLP-1RAs were associated with a higher proportion of serious AEs reported in younger patients (p < 0.001) and females (p < 0.001). Conclusion This pharmacovigilance study utilizing the FAERS database identified potential safety signals of increased mortality and serious AE reporting associated with certain GLP-1RAs, particularly the earlier approved liraglutide agents Byetta and Victoza. These findings highlight the importance of proactive postmarket surveillance to characterize the real-world safety profiles of individual GLP-1RA drugs.

Pharmacovigilance analysis of orlistat adverse events based on the FDA adverse event reporting system (FAERS) database

Objective

Based on the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database, we analyzed the signals of potential adverse events (AEs) of orlistat in the real world to provide a reference for its safe clinical use.

Methods

The FAERS database and OpenVigil 2.1 were used to obtain data on adverse events of orlistat from the first quarter of 2004 to the first quarter of 2023, and to analyze the population in which the adverse events occurred. And the signals of their potential adverse events were mined using reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and empirical Bayesian geometric mean (EBGM).

Result

A total of 21,079 reports of adverse events with orlistat as the primary suspected drug were collected in this study. Using four disproportionate analyses, we screened 117 preferred terms (PTs) involving 18 system organ classes (SOCs). We found that the most common adverse events at SOC level for orlistat remained "gastrointestinal disorders", while "metabolism and nutrition disorders", "renal and urinary disorders", "musculoskeletal and connective tissue disorders" and "hepatobiliary disorders" also ranked high in the number of case reports. In addition, at the PT level, we identified several new signals of adverse events not mentioned in the specification, including "lipiduria", "anal haemorrhage", "rectal haemorrhage", "haematochezia", "sigmoiditis", "diverticulitis" and "muscle spasms".

Conclusion

Most of the adverse events found in this study are consistent with the results described in the drug label. At the same time, we also found some new adverse events, which require more prospective studies to verify and elucidate their relationship with orlistat.

The International Working Group on New Developments in Pharmacovigilance: Advancing Methods and Communication in Pharmacovigilance

PURPOSE

In 2019, the International Working Group (IWG), focusing on New Developments in Pharmacovigilance, was established. This group is coordinated by the Drug Safety Research Unit in the United Kingdom, and the mission of the IWG is to progress pharmacovigilance methodologies and promote the safe and effective use of medicines and vaccines, thereby further protecting patients. Novel therapeutics are continuously being developed to alleviate medical conditions, but with advancing technologies, innovative pharmacovigilance methodologies need to be developed to effectively monitor the use and safety of these products. With reduced timelines proposed for premarketing clinical trials and increased application of real-world evidence supporting regulatory approvals, products may be used in real-world clinical practice in shorter timeframes than before. Therefore, the need for effective methods of monitoring medicines and collecting safety data in real-time is of paramount importance to public health.

METHODS

The IWG aims to advance existing methodologies used in the detection, monitoring, and analysis of safety data in pharmacovigilance and to communicate best practice proposals to support decision making in health care. The IWG will identify areas requiring review of current processes or methodologic research and will communicate the output of the IWG through peer-reviewed publications, reports, and presentation of findings at relevant conferences and scientific meetings.

FINDINGS

The IWG is currently reviewing two areas in pharmacovigilance; case-level causality assessment and the strengths and limitations of data sources. The IWG is advancing these areas by producing two scoping reviews which will be easily accessible to regulatory agencies, industry, academia, and interested persons or organizations.

IMPLICATIONS

The scoping reviews comply with the IWGs mission to progress pharmacovigilance methodologies and promote the safe and effective use of medicines and vaccines. The present article shares details of the objectives of the IWG and provides an overview on the status of IWG activities.

Pharmacovigilance in Vaccines: Importance, Main Aspects, Perspectives, and Challenges-A Narrative Review

Pharmacovigilance plays a central role in safeguarding public health by continuously monitoring the safety of vaccines, being critical in a climate of vaccine hesitancy, where public trust is paramount. Pharmacovigilance strategies employed to gather information on adverse events following immunization (AEFIs) include pre-registration data, media reports, clinical trials, and societal reporting. Early detection of AEFIs during clinical trials is crucial for thorough safety analysis and preventing serious reactions once vaccines are deployed. This review highlights the importance of societal reporting, encompassing contributions from community members, healthcare workers, and pharmaceutical companies. Technological advancements such as quick response (QR) codes can facilitate prompt AEFI reporting. While vaccines are demonstrably safe, the possibility of adverse events necessitates continuous post-marketing surveillance. However, underreporting remains a challenge, underscoring the critical role of public engagement in pharmacovigilance. This narrative review comprehensively examines and synthesizes key aspects of virus vaccine pharmacovigilance, with special considerations for specific population groups. We explore applicable legislation, the spectrum of AEFIs associated with major vaccines, and the unique challenges and perspectives surrounding pharmacovigilance in this domain.

CDK4/6 inhibitors in drug-induced liver injury: a pharmacovigilance study of the FAERS database and analysis of the drug-gene interaction network

Objective

The aim of this study was to investigate the potential risk of drug-induced liver injury (DILI) caused by the CDK4/6 inhibitors (CDK4/6is abemaciclib, ribociclib, and palbociclib by comprehensively analyzing the FDA Adverse Event Reporting System (FAERS) database. Moreover, potential toxicological mechanisms of CDK4/6is-related liver injury were explored via drug-gene network analysis.

Methods

In this retrospective observational study, we collected reports of DILI associated with CDK4/6i use from the FAERS dated January 2014 to March 2023. We conducted disproportionality analyses using the reporting odds ratio (ROR) with a 95% confidence interval (CI). Pathway enrichment analysis and drug-gene network analyses were subsequently performed to determine the potential mechanisms underlying CDK4/6i-induced liver injury.

Results

We found positive signals for DILI with ribociclib (ROR = 2.60) and abemaciclib (ROR = 2.37). DILIs associated with liver-related investigations, signs, and symptoms were confirmed in all three reports of CDK4/6is. Moreover, ascites was identified as an unlisted hepatic adverse effect of palbociclib. We isolated 189 interactive target genes linking CDK4/6 inhibitors to hepatic injury. Several key genes, such as STAT3, HSP90AA1, and EP300, were revealed via protein-protein analysis, emphasizing their central roles within the network. KEGG pathway enrichment of these genes highlighted multiple pathways.

Conclusion

Our study revealed variations in hepatobiliary toxicity among the different CDK4/6 inhibitors, with ribociclib showing the highest risk of liver injury, followed by abemaciclib, while palbociclib appeared relatively safe. Our findings emphasize the need for cautious use of CDK4/6 inhibitors, and regular liver function monitoring is recommended for long-term CDK4/6 inhibitor use.

Predictive Modeling of Drug-Related Adverse Events with Real-World Data: A Case Study of Linezolid Hematologic Outcomes

Electronic health records (EHRs) provide meaningful knowledge of drug-related adverse events (AEs) that are not captured in standard drug development and postmarketing surveillance. Using variables obtained from EHR data in the University of California San Francisco de-identified Clinical Data Warehouse, we aimed to evaluate the potential of machine learning to predict two hematological AEs, thrombocytopenia and anemia, in a cohort of patients treated with linezolid for 3 or more days. Features for model input were extracted at linezolid initiation (index), and outcomes were characterized from index to 14 days post-treatment. Random forest classification (RFC) was used for AE prediction, and reduced feature models were evaluated using cumulative importance (cImp) for feature selection. Grade 3+ thrombocytopenia and anemia occurred in 31% of 2,171 and 56% of 2,170 evaluable patients, respectively. Of the total 53 features, as few as 7 contributed at least 50% cImp, resulting in prediction accuracies of 70% or higher and area under the receiver operating characteristic curves of 0.886 for grade 3+ thrombocytopenia and 0.759 for grade 3+ anemia. Sensitivity analyses in strictly defined patient subgroups revealed similarly high predictive performance in full and reduced feature models. A logistic regression model with the same 50% cImp features showed similar predictive performance as RFC and good concordance with RFC probability predictions after isotonic calibration, adding interpretability. Collectively, this work demonstrates potential for machine learning prediction of AE risk in real-world patients using few variables regularly available in EHRs, which may aid in clinical decision making and/or monitoring.

Real-World Use of Ruxolitinib Cream: Safety Analysis at 1 Year

BACKGROUND

Ruxolitinib cream is the first topical Janus kinase (JAK) inhibitor approved in the United States (US) for the treatment of mild to moderate atopic dermatitis and nonsegmental vitiligo. A postmarketing study with oral tofacitinib, approved for rheumatoid arthritis, triggered class warnings for JAK inhibitors, including risk of serious infections, mortality, malignancy, major adverse cardiovascular events, and thrombosis. Because ruxolitinib cream is indicated for inflammatory conditions, it is subject to the same warnings as oral JAK inhibitors in the US. Here, nearly 14,000 patient-years of postmarketing safety data from the first year following market approval of ruxolitinib cream were reviewed.

METHODS

The Incyte global safety database (21 September 2021-20 September 2022) and US FDA Adverse Event Reporting System (as of 30 September 2022) were queried for adverse event (AE) reports received for ruxolitinib cream.

RESULTS

The search identified 294 postmarketing individual case safety reports containing 589 events, including four serious AEs and no fatal AEs. AEs (i.e., any unfavorable sign, symptom, or disease) representing >2% of all events included application site pain (n = 16), atopic dermatitis (n = 15), skin irritation (n = 15), scratch (n = 14), and condition aggravated (n = 13). The four serious AEs were skin cancer (n = 2), pericarditis, and thrombocytopenia (both n = 1), none of which had sufficient information to assess possible relatedness to ruxolitinib cream. Serious AEs associated with the class warnings for JAK inhibitors were not reported.

CONCLUSIONS

Postmarketing safety data from the year following approval suggest ruxolitinib cream is generally well tolerated, without significant systemic AEs, and with a low incidence of application site reactions.

Enhancing Pharmacovigilance in Côte d'Ivoire: Impact of GSK's Training and Mentoring Pilot Project in the Abidjan Region

INTRODUCTION

Pharmacovigilance (PV) in sub-Saharan Africa relies on passive surveillance but underreporting of adverse events (AEs) by health care professionals (HCPs) is a major challenge. A PV enhancement project was implemented to address this in Côte d'Ivoire.

OBJECTIVE

To improve safety surveillance of medicines through PV training and mentoring of HCPs in selected health care facilities (HCFs).

METHODS

This collaborative project between national PV stakeholders, GSK, and PATH was implemented from September 2018 to February 2020 in Abidjan region, Côte d'Ivoire. Trained PV focal points provided training and regular mentoring of HCPs. Key performance indicator (KPI) categories for AE reporting were the volume of AE reports, efficiency of report transmission and data entry, quality of reports, and quality of the central (Vigilance Unit) response to AE reports.

RESULTS

Overall, 1427 HCPs at 91 HCFs were trained. In the 8 months before implementation, 33 AE reports were received versus 85 after 3 months and 361 after 18 months of implementation (71 [83.5%] and 278 [77.0%], respectively, from Abidjan). The KPIs with the highest proportions were: AE reports received centrally (100%), complete AE reports (69.0%), AE reports entered into the local PV database within 48 h (99.6%), and AE reports entered into the global database, VigiBase (86.7%). Report notification within 72 h, causality assessment, and serious AE reporting had proportions below 20%; feedback to reporters was provided for only 0.4% of reports.

CONCLUSION

Regular PV trainings and mentoring improved AE reporting in Côte d'Ivoire but further enhancement is required to improve passive safety surveillance.

Glucagon-like Peptide-1 Receptor Agonists and Suicidal Ideation: Analysis of Real-Word Data Collected in the European Pharmacovigilance Database

BACKGROUND

A potential risk of suicide associated with liraglutide or semaglutide treatments has recently emerged. Therefore, we decided to investigate the reporting probability of suicidal events among glucagon-like peptide-1 receptor agonists (GLP-1 RAs).

METHODS

A retrospective pharmacovigilance study of the European Pharmacovigilance database was conducted for the period from 1 January 2018 to 10 July 2023. Disproportionality analyses (reporting odds ratio, ROR) were performed to assess the reporting probability of suicidal events among GLP-1 RAs.

RESULTS

A total of 230 reports of suicidal events were identified. The most reported GLP-1 RA was liraglutide (38.3%), followed by semaglutide (36.5%) and dulaglutide (16.1%). The most reported events were suicidal ideation (65.3%) and suicide attempt (19.5%). Disproportionality analysis found a higher reporting probability of suicidal events for semaglutide than dulaglutide (ROR, 2.05; 95%CI, 1.40-3.01) and exenatide (ROR, 1.81; 95%CI, 1.08-3.05). In the same way, liraglutide was associated with a higher reporting probability of suicidal events than dulaglutide (ROR, 3.98; 95%CI, 2.73-5.82) and exenatide (ROR, 3.52; 95%CI, 2.10-5.92). On the contrary, a lower reporting probability was found for semaglutide than liraglutide (ROR, 0.51; 95%CI, 0.38-0.69).

CONCLUSIONS

Suicidal events were mostly reported with semaglutide and liraglutide, which were also associated with significantly higher reporting probabilities compared to other GLP1 RAs. Although this study provides the reporting frequencies of suicide-related events with GLP-1 RAs, establishing causality requires further investigation, which will probably be addressed by the Pharmacovigilance Risk Assessment Committee of the European Medicine Agency in the future.

Drug-induced QT prolongation and torsade de pointes: a real-world pharmacovigilance study using the FDA Adverse Event Reporting System database

Introduction: Drug-induced QT prolongation and (or) Torsade de Pointes (TdP) is a well-known serious adverse reaction (ADR) for some drugs, but the widely recognized comprehensive landscape of culprit-drug of QT prolongation and TdP is currently lacking. Aim: To identify the top drugs reported in association with QT prolongation and TdP and provide information for clinical practice. Method: We reviewed the reports related to QT prolongation and TdP in the FDA Adverse Event Reporting System (FAERS) database from January 1, 2004 to December 31, 2022, and summarized a potential causative drug list accordingly. Based on this drug list, the most frequently reported causative drugs and drug classes of QT prolongation and TdP were counted, and the disproportionality analysis for all the drugs was conducted to in detect ADR signal. Furthermore, according to the positive-negative distribution of ADR signal, we integrated the risk characteristic of QT prolongation and TdP in different drugs and drug class. Results: A total of 42,713 reports in FAERS database were considered to be associated with QT prolongation and TdP from 2004 to 2022, in which 1,088 drugs were reported as potential culprit-drugs, and the largest number of drugs belonged to antineoplastics. On the whole, furosemide was the most frequently reported drugs followed by acetylsalicylic acid, quetiapine, citalopram, metoprolol. In terms of drug classes, psycholeptics was the most frequently reported drug classes followed by psychoanaleptics, analgesics, beta blocking agents, drugs for acid related disorders. In disproportionality analysis, 612 drugs showed at least one positive ADR signals, while citalopram, ondansetron, escitalopram, loperamide, and promethazine were the drug with the maximum number of positive ADR signals. However, the positive-negative distribution of ADR signals between different drug classes showed great differences, representing the overall risk difference of different drug classes. Conclusion: Our study provided a real-world overview of QT prolongation and TdP to drugs, and the presentation of the potential culprit-drug list, the proportion of reports, the detection results of ADR signals, and the distribution characteristics of ADR signals may help understand the safety profile of drugs and optimize clinical practice.

Postmarket safety profile of suicide/self-injury for GLP-1 receptor agonist: a real-world pharmacovigilance analysis

BACKGROUND

Recent reports of individuals experiencing suicidal and/or self-injurious behaviors while using liraglutide and semaglutide have heightened the concerns regarding neuropsychiatric safety of Glucagon-like peptide-1 agonists (GLP-1RAs). As real-world evidence is very limited, we explored the association between GLP-1RA and suicide/self-injury by mining the FDA Adverse Event Reporting System (FAERS) database.

METHODS

The FAERS database was queried from 2005 Q2 to 2023 Q2. The Reporting Odds Ratio (ROR) and Empirical Bayes Geometric Mean (EBGM) were used to conduct the disproportionality analysis.

RESULTS

A total of 534 GLP-1RA-associated suicide/self-injury cases were reported in the FAERS during the study period. GLP-1RA did not cause a disproportionate increase in overall suicidal and self-injurious cases (ROR: 0.16, 95%CI 0.15-0.18, P < 0.001; EBGM05: 0.15). Stratified analyses found no safety signal of suicide/injury for GLP-1RA in both females and males. The ROR for suicide/self-injury with GLP-1RA was slightly elevated (ROR: 2.50, 95%CI 1.02-6.13, P = 0.05) in children, while the EBGM05 was < 2 in this population. No significant signal value was observed in other age groups. No over-reporting of suicide/self-injury was identified for GLP-1RA before or after the COVID-19 pandemic outbreak.

CONCLUSIONS

The cases of suicide or self-injury reported to FAERS do not indicate any overall safety signal attributable to GLP-1RA at this time. Subgroup analysis revealed a marginal elevation of ROR for suicide and self-injury with GLP-1RA in children, but no safety signal was detected by EBGM05 in this population. Further large-scale prospective investigations are still warranted to further confirm this finding.

Recent advances in dosage form design for the elderly: a review

INTRODUCTION

With the increase in the elderly population and the prevalence of multiple medical conditions, medication adherence, and efficacy have become crucial for the effective management of their health. The aging population faces unique challenges that need to be addressed through advancements in drug delivery systems and formulation technologies.

AREAS COVERED

The current review highlights the recent advances in dosage form design for older individuals, with consideration of their specific physiological and cognitive changes. Various dosage forms, such as modified-release tablets/capsules, chewable tablets, and transdermal patches, can be tailored to meet the specific needs of elderly patients. Advancements in drug delivery systems, such as nanotherapeutics, additive manufacturing (three-dimensional printing), and drug-food combinations, improve drug delivery and efficacy and overcome challenges, such as dysphagia and medication adherence.

EXPERT OPINION

Regulatory guidelines and considerations are crucial in ensuring the safe utilization of medications among older adults. Important factors to consider include geriatric-specific guidelines, safety considerations, labeling requirements, clinical trial considerations, and adherence and accessibility considerations.

Severe cutaneous adverse reactions to drugs: A real-world pharmacovigilance study using the FDA Adverse Event Reporting System database

Background: Sound drug safety information is important to optimize patient management, but the widely recognized comprehensive landscape of culprit-drugs that cause severe cutaneous adverse reactions (SCARs) is currently lacking.

Objective: The main aim of the study is to provide a comprehensive landscape of culprit-drugs for SCARs to guide clinical practice.

Methods: We analyzed reports associated with SCARs in the FDA Adverse Event Reporting System database between 1 January 2004 and 31 December 2021 and compiled a list of drugs with potentially serious skin toxicity. According to this list, we summarized the reporting proportions of different drugs and drug classes and conducted disproportionality analysis for all the drugs. In addition, the risk characteristic of SCARs due to different drugs and drug classes was summarized by the positive–negative distribution based on the results of the disproportionality analysis.

Results: A total of 77,789 reports in the FDA Adverse Event Reporting System database were considered SCAR-related, of which lamotrigine (6.2%) was the most reported single drug followed by acetaminophen (5.8%) and allopurinol (5.8%) and antibacterials (20.6%) was the most reported drug class followed by antiepileptics (16.7%) and antineoplastics (11.3%). A total of 1,219 drugs were reported as culprit-drugs causing SCARs in those reports, and the largest number of drugs belonged to antineoplastics. In disproportionality analysis, 776 drugs showed at least one positive pharmacovigilance signal. Drugs with the most positive signals were lamotrigine, acetaminophen, furosemide, and sulfamethoxazole/trimethoprim.

Conclusion: Our study provided a real-world overview of SCARs to drugs, and the investigation of SCAR positive–negative distribution across different drugs revealed its risk characteristics, which may help optimize patient management.