The medical dictionary for regulatory activities (MedDRA)

Psoriasis risk after betablocker exposure: description of a pharmacovigilance signal

AIM

We aimed to investigate French pharmacovigilance data. The objective was to characterize psoriatic conditions occurred after BB exposure and bright to light a possible pharmacovigilance signal.

METHODS

Spontaneous reports of psoriatic conditions recorded in the French national Pharmacovigilance database (FPVD) between 1985 and 2019 were extracted. We performed a retrospective, descriptive analysis of reports linked to BB exposure. Association between psoriasis risk and BB exposure was assessed using a case/non-case study.

RESULTS

Two hundred and twenty-five reports of psoriatic conditions after BB exposure were recorded in the FPVD during the study period. Both, cardioselective and non-cardioselective, topical and systemic, BBs are involved. Therapeutic indication of BB was mainly hypertension Mean time to onset was 5 months and outcome was favorable in 68% after BB discontinuation. These features were concordant with those of literature reports. The reporting odds ratio (ROR) was 8.95 (95%CI 7.75 - 10.33).

CONCLUSION

We highlighted a statistically significant disproportionality which constitutes a pharmacovigilance signal. Psoriasis risk with BBs is a class effect. Increasing surveillance during the 1^st year of BB exposure is needed.

Pegylated asparaginase-induced liver injury, a case-based review and data from pharmacovigilance

Treatment of acute lymphoblastic leukemia has changed since introducing the asparaginase drug and its pegylated form, i.e., pegasparaginase. Several trials have demonstrated a clear advantage in using this drug in adolescents and young adults, up to 60 years. However, this drug possesses a unique plethora of side effects, spanning from pancreatitis to coagulopathy, including hepatotoxicity. This could be of mild intensity but can lead to life-threatening sequelae, up to death. Here, we report a case of a 59 years old patient affected by acute lymphoblastic leukemia, who eventually died cause of pegasparaginase-related hepatotoxicity. A review of the available literature will be provided, including epidemiology, pathophysiology and possible therapeutic interventions. In the end, an analysis of the Italian pharmacovigilance database will be presented, where hepatotoxicity has been reported in 32 cases (10% of reported adverse events, including 3 deaths related to drug-induced liver damage). This article is protected by copyright. All rights reserved.

Intracranial Hemorrhage Following Anticoagulant Treatment in Denmark: Spontaneous Adverse Drug Reaction Reports Versus Real-World Data

INTRODUCTION

In Denmark, physicians are legally obliged to report serious adverse drug reactions (ADRs), such as intracranial hemorrhage (ICH) following anticoagulant (AC) treatment, to the Danish Medicines Agency. We were therefore puzzled to discover a high number of reports concerning ICHs following treatment with the direct oral anticoagulants (DOACs) dabigatran, rivaroxaban, and apixaban compared with warfarin. This was surprising, as all DOACs have been found to be associated with a lower risk of ICH compared with warfarin in phase III randomized controlled trials.

OBJECTIVES

The primary aim of the study was to estimate the level of underreporting of ICH as an ADR following treatment with warfarin, dabigatran, rivaroxaban, and apixaban.

METHODS

This observational study covered a 5-year period (2014-2018). Using nationwide registries held by the Danish Health Data Authority, the number of users, exposure time in person-years, and related ICH events for each of the study drugs were estimated. Data on ADR-ICH reports were extracted from the interactive ADR overviews held by the Danish Medicines Agency.

RESULTS

From 2014 to 2018, 97.0% of the identified warfarin-related ICH events were not reported as ADRs. For the DOACs, the level of underreporting ranged from 88.8 to 90.8%.

CONCLUSION

We found a heavy and differentiated level of underreporting of ICH as an ADR following treatment with the four study drugs.

A knowledge graph of clinical trials ([Formula: see text])

Effective and successful clinical trials are essential in developing new drugs and advancing new treatments. However, clinical trials are very expensive and easy to fail. The high cost and low success rate of clinical trials motivate research on inferring knowledge from existing clinical trials in innovative ways for designing future clinical trials. In this manuscript, we present our efforts on constructing the first publicly available Clinical Trials Knowledge Graph, denoted as [Formula: see text]. [Formula: see text] includes nodes representing medical entities in clinical trials (e.g., studies, drugs and conditions), and edges representing the relations among these entities (e.g., drugs used in studies). Our embedding analysis demonstrates the potential utilities of [Formula: see text] in various applications such as drug repurposing and similarity search, among others.

Frequency of symptomatic adverse events in rheumatoid arthritis: an exploratory online survey

Objective

To generate initial data on the frequency and impact of symptomatic adverse events (AEs) associated with rheumatoid arthritis (RA) drug therapy from the patients' perspective.

Methods

We conducted an exploratory online survey asking patients with RA to indicate whether they currently or had ever experienced the 80 different symptomatic AEs included in the Patient-Reported Outcomes version of The Common Terminology Criteria For Adverse Events (PRO-CTCAE™). Results were summarized to report their frequency and regression models were used to estimate their associations with RA medication use and overall bother.

Results

The 560 patients who completed the survey and reported taking at least one RA medication (DMARD, steroids, NSAIDs), had a mean disease duration of 8 years, and were on a wide range of DMARDs. The number of symptomatic AEs experienced in the past 7 days was none (6%), 1-10 (28%), 11-20 (28%), and >20 (38%). Overall, most participants reported that side effects bothered them somewhat (28%), quite a bit (24%) or very much (15%). In multivariable regression analyses, current prednisone and NSAID use were associated with the greatest number of current side effects (26 and 22 respectively). Many of the strongest associations between current symptomatic AEs and medication use aligned with known side effect profiles.

Conclusion

In this exploratory online survey, patients with RA reported frequent symptomatic AEs with their medications that are bothersome. Further work is needed to develop and validate a measure for use in patients with rheumatic disease.

Retrospective analysis of clinical trial safety data for pembrolizumab reveals the effect of co-occurring infections on immune-related adverse events

Biologics targeting PD-1, PD-L1, and CTLA-4 immune checkpoint proteins have been used in a variety of tumor types including small and non-small cell lung cancers, melanoma, and renal cell carcinoma. Their anti-tumor activity is achieved through amplifying components of the patient’s own immune system to target immune response evading cancer cells. However, this unique mechanism of action causes a range of immune related adverse events, irAEs, that affect multiple physiological systems in the body. These irAEs, depending on severity, often cause suspension or discontinuation of therapy and, in rare cases, may lead to fatal outcomes. In this study we focused on pembrolizumab, a PD-1 inhibitor currently approved for multiple types of cancer. We analyzed over ten thousand adverse event reports from Keynote clinical trials of pembrolizumab for various cancer indications with or without co-occurring infections, and observed a statistically significant 80% increase in the risk of developing an irAE in subjects with infections.

Hypericum perforatum to Improve Postoperative Pain Outcome After Monosegmental Spinal Sequestrectomy (HYPOS): Results of a Randomized, Double-Blind, Placebo-Controlled Trial

Introduction: Patients undergoing lumbar spine surgery often suffer from severe radicular postoperative pain leading to the prescription of high-dose opioids. In Integrative Medicine, Hypericum perforatum is known as a remedy to relieve pain caused by nerve damage. Objectives: This trial investigated whether homeopathic Hypericum leads to a reduction in postoperative pain and a decrease in pain medication compared with placebo. Design: Randomized double blind, monocentric, placebo controlled clinical trial. Settings/Location: Department of Neurosurgery, Community Hospital Herdecke. Subjects: Inpatients undergoing lumbar sequestrectomy surgery. Interventions: Homeopathic treatment versus placebo in addition to usual pain management. Outcomes Measures: Primary endpoint was pain relief measured with a visual analog scale. Secondary endpoints were the reduction of inpatient postoperative analgesic medication and change in sensory and affective pain perception. Results: Baseline characteristics were comparable between the groups. Pain perception between baseline and day 3 did not significantly differ between the study arms. With respect to pain medication, total morphine equivalent doses did not differ significantly. However, a statistical trend and a moderate effect (d = 0.432) in the decrease of pain medication consumption in favor of the Hypericum group was observed. Conclusion: This is the first trial of homeopathy that evaluated the efficacy of Hypericum C200 after lumbar monosegmental spinal sequestrectomy. Although no significant differences between the groups could be shown, we found that patients who took potentiated Hypericum in addition to usual pain management showed lower consumption of analgesics. Further investigations, especially with regard to pain medication, should follow to better classify the described analgesic reduction. Clinical Trial Registration Number: German Clinical Trials Register No: DRKS00007913.

Propensity-Score-Matched Evaluation of Adverse Events Affecting Recovery after COVID-19 Vaccination: On Adenovirus and mRNA Vaccines

This study aimed to observe adverse events following immunisation (AEFIs) that affected recovery within two weeks after COVID-19 vaccination and investigate their risks in propensity-score-matched populations. Data were collected from 447,346 reports from the VAERS between 1 January 2021 and 31 July 2021. Propensity-score-matched populations were constructed by adjusting for demographic characteristics and 11 underlying diseases in eligible subjects who received 1 of 3 COVID-19 vaccines: 19,462 Ad26.COV2.S, 120,580 mRNA-1273, and 100,752 BNT162b2. We observed that 88 suspected AEFIs (22 in Ad26.COV2.S, 62 in mRNA-1273, and 54 in BNT162b2) were associated with an increased risk of delayed recovery within 2 weeks after COVID-19 vaccinations. Nervous system, musculoskeletal and connective tissue, gastrointestinal, skin, and subcutaneous tissue disorders were the most common AEFIs after COVID-19 vaccination. Interestingly, four local and systemic reactions affected recovery in different vaccine recipients during our study period: asthenic conditions and febrile disorders in Ad26.COV2.S and mRNA-1273; general signs and symptoms in mRNA-1273 and BNT162b2; injection site reactions in Ad26.COV2.S and BNT162b2. Although it is necessary to confirm a causal relationship with COVID-19 vaccinations, some symptoms, including paralysis, allergic disorders, breathing abnormalities, and visual impairment, may hinder the recovery of these recipients.

Thromboembolism and Oral Contraceptives During the COVID-19 Pandemic: A Disproportionality Analysis Within the Spanish Pharmacovigilance Database

Background

Thromboembolic events (TEs) are known to be a severe complication for COVID-19. They are associated with a systemic inflammatory response syndrome with coagulation cascade activation.

Objective

The aim of this study was to determine a potential association between the COVID-19 pandemic and the increment of the risk of suspected TEs in women on systemic hormonal contraceptives (SHCs).

Patients and Methods

This study utilised a case/non-case approach in the Spanish Pharmacovigilance Database, which includes more than 290,000 cases of suspected adverse drug reactions (ADRs). The reporting odds ratio (ROR) was calculated during an initial pandemic period in 2020 compared with a pre-pandemic period in 2019 and an additional control period in 2018.

Results

While there was a decreased number of ADR notifications for any medications and for any type of ADR in patients on SHCs during the pandemic period, the TE ROR for all SHCs was higher in the 2020 pandemic period [ROR = 11.8 (5.6–24.7)] relative to the pre-pandemic period in 2019 [ROR = 6.3 (3.2–12.5)] and the additional control period in 2018 [ROR = 4.6. (2.1–9.9)]. In contrast, ROR for progestogen-only contraceptives was lower during the pandemic as compared with the two control periods.

Conclusion

The reported disproportionality of TEs in women on SHCs rose during the pandemic period. This suggests a potential interaction of the drug (SHC) with COVID-19, which led to an increased risk of TEs in women exposed to both factors. This should be taken into consideration in the context of the COVID-19 pandemic.

Potential Adverse Events Reported With the Janus Kinase Inhibitors Approved for the Treatment of Rheumatoid Arthritis Using Spontaneous Reports and Online Patient Reviews

The aim of this study was to analyze the potential adverse events (AEs) caused by Janus kinase (JAK) inhibitors, including tofacitinib, baricitinib, and upadacitinib, used to treat rheumatoid arthritis using spontaneous AE reports from the FDA (FAERS) and interpreting them in correlation with those from Korea (KAERS) and an online patient review (WebMD). Potential AEs were identified based on a disproportionality analysis using the proportional reporting ratio (PRR), reporting odds ratio (ROR), and the information component (IC). A total of 23,720 reports were analyzed from FAERS database, of which 91.5% were reports on tofacitinib. Potentially important medical AEs related to infections were reported frequently, as well as thromboembolism-related AEs. The AEs, such as malignancy, interstitial lung diseases, myocardial infarction, and gastrointestinal disorder, also reported. In an online patient review report, the ineffectiveness of the drug and gastrointestinal AEs were frequently reported. Infection with baricitinib and symptoms related to pain or edema due to upadacitinib were the main discomfort experienced by patients. In conclusion, the results of this study highlight the possible safety issues associated with JAK inhibitors. Routine clinical observations and further research using various real-world databases are needed.

Development of a Pipeline for Adverse Drug Reaction Identification in Clinical Notes: Word Embedding Models and String Matching

Background

Knowledge about adverse drug reactions (ADRs) in the population is limited because of underreporting, which hampers surveillance and assessment of drug safety. Therefore, gathering accurate information that can be retrieved from clinical notes about the incidence of ADRs is of great relevance. However, manual labeling of these notes is time-consuming, and automatization can improve the use of free-text clinical notes for the identification of ADRs. Furthermore, tools for language processing in languages other than English are not widely available.

Objective

The aim of this study is to design and evaluate a method for automatic extraction of medication and Adverse Drug Reaction Identification in Clinical Notes (ADRIN).

Methods

Dutch free-text clinical notes (N=277,398) and medication registrations (N=499,435) from the Cardiology Centers of the Netherlands database were used. All clinical notes were used to develop word embedding models. Vector representations of word embedding models and string matching with a medical dictionary (Medical Dictionary for Regulatory Activities [MedDRA]) were used for identification of ADRs and medication in a test set of clinical notes that were manually labeled. Several settings, including search area and punctuation, could be adjusted in the prototype to evaluate the optimal version of the prototype.

Results

The ADRIN method was evaluated using a test set of 988 clinical notes written on the stop date of a drug. Multiple versions of the prototype were evaluated for a variety of tasks. Binary classification of ADR presence achieved the highest accuracy of 0.84. Reduced search area and inclusion of punctuation improved performance, whereas incorporation of the MedDRA did not improve the performance of the pipeline.

Conclusions

The ADRIN method and prototype are effective in recognizing ADRs in Dutch clinical notes from cardiac diagnostic screening centers. Surprisingly, incorporation of the MedDRA did not result in improved identification on top of word embedding models. The implementation of the ADRIN tool may help increase the identification of ADRs, resulting in better care and saving substantial health care costs.

DSGAT: predicting frequencies of drug side effects by graph attention networks

A critical issue of drug risk–benefit evaluation is to determine the frequencies of drug side effects. Randomized controlled trail is the conventional method for obtaining the frequencies of side effects, while it is laborious and slow. Therefore, it is necessary to guide the trail by computational methods. Existing methods for predicting the frequencies of drug side effects focus on modeling drug–side effect interaction graph. The inherent disadvantage of these approaches is that their performance is closely linked to the density of interactions but which is highly sparse. More importantly, for a cold start drug that does not appear in the training data, such methods cannot learn the preference embedding of the drug because there is no link to the drug in the interaction graph. In this work, we propose a new method for predicting the frequencies of drug side effects, DSGAT, by using the drug molecular graph instead of the commonly used interaction graph. This leads to the ability to learn embeddings for cold start drugs with graph attention networks. The proposed novel loss function, i.e. weighted $\varepsilon$-insensitive loss function, could alleviate the sparsity problem. Experimental results on one benchmark dataset demonstrate that DSGAT yields significant improvement for cold start drugs and outperforms the state-of-the-art performance in the warm start scenario. Source code and datasets are available at https://github.com/xxy45/DSGAT.

Toripalimab: the First Domestic Anti-Tumor PD-1 Antibody in China

Toripalimab (Tuoyi™) is a selective, recombinant, humanized monoclonal antibody against programmed death protein 1 (PD-1) developed by Shanghai Junshi Bioscience Co., Ltd. Toripalimab is able to bind to PD-1 and block the interaction with its ligands. The binding of toripalimab to PD-1 is mainly attributed to the heavy chain of the former and the FG loop of the latter. Toripalimab received a conditional approval in China for the treatment of melanoma (second-line) in December, 2018. It has also received approvals to treat nasopharyngeal carcinoma (first-line and third-line) and urothelial carcinoma (second-line) in 2021. Additionally, several orphan drug designations were granted to toripalimab by the US Food and Drug Administration. Toripalimab has exhibited primary anti-tumor effects in tumors such as melanoma, lung cancer, digestive tract tumors, hepatobiliary and pancreatic tumors, neuroendocrine neoplasms, nasopharyngeal carcinoma and urothelial carcinoma. It showed a satisfactory anti-tumor effect and long-term survival benefits in Chinese melanoma patients, while the combination of axitinib with toripalimab exhibited an impressive result in metastatic mucosal melanoma. As a checkpoint inhibitor, toripalimab was generally well-tolerated in the enrolled patients. Due to different study populations, comparisons could not be made directly between toripalimab and other drugs in most cases. Nevertheless, the introduction of toripalimab may offer a valuable choice for decision-making in the treatment of tumors in the future.

Long-term real-world effectiveness and safety of fingolimod over 5 years in Germany

Objective

To evaluate the 5-year real-world benefit–risk profile of fingolimod in patients with relapsing–remitting MS (RRMS) in Germany.

Methods

Post-Authorization Non-interventional German sAfety study of GilEnyA (PANGAEA) is a non-interventional real-world study to prospectively assess the effectiveness and safety of fingolimod in routine clinical practice in Germany. The follow-up period comprised 5 years. Patients were included if they had been diagnosed with RRMS and had been prescribed fingolimod as part of clinical routine. There were no exclusion criteria except the contraindications for fingolimod as defined in the European label. The effectiveness and safety analysis set comprised 4032 and 4067 RRMS patients, respectively.

Results

At the time of the 5-year follow-up of PANGAEA, 66.57% of patients still continued fingolimod therapy. Annualized relapse rates decreased from baseline 1.5 ± 1.15 to 0.42 ± 0.734 at year 1 and 0.21 ± 0.483 at year 5, and the disability status remained stable, as demonstrated by the Expanded Disability Status Scale mean change from baseline (0.1 ± 2.51), the decrease of the Multiple Sclerosis Severity Score from 5.1 ± 2.59 at baseline to 3.9 ± 2.31 at the 60-months follow-up, and the percentage of patients with ‘no change’ in the Clinical Global Impression scale at the 60-months follow-up (78.11%). Adverse events (AE) occurring in 75.04% of patients were in line with the known safety profile of fingolimod and were mostly non-serious AE (33.62%) and non-serious adverse drug reactions (50.59%; serious AE 4.98%; serious ADR 10.82%).

Conclusions

PANGAEA demonstrated the sustained beneficial effectiveness and safety of fingolimod in the long-term real-world treatment of patients with RRMS.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00415-021-10931-w.

Exposure to quadrivalent influenza vaccine during pregnancy: Results from a global pregnancy registry

BACKGROUND

The Fluzone® Quadrivalent (IIV4, Sanofi Pasteur) Pregnancy Registry was created to monitor vaccine safety during pregnancy (clinicaltrials.gov, NCT01945424). Here, we describe maternal, pregnancy, obstetrical and neonatal outcomes after vaccine exposure in pregnant women between August 2013 and September 2019.

METHODS

All women exposed to IIV4 during their pregnancy were eligible for inclusion. Outcomes were prospective (reported following vaccine exposure but before knowledge of pregnancy outcome ascertained through prenatal tests) or retrospective (prenatal tests were undertaken before the exposure was reported).

RESULTS

Among 239 IIV4 vaccine exposure reports received, there were 105 prospective and 10 retrospective reports of maternal adverse events (AEs). The most frequent prospectively reported maternal AEs were medication errors (expired product [n = 8, 3.8%]; extra dose [n = 7, 3.3%]) and injection site pain (n = 7, 3.3%). Among 62 prospectively reported pregnancy and obstetrical events with available follow-up information, seven AEs were reported, four (6.4%) of which were spontaneous abortions. A further seven AEs were reported among the 29 retrospective pregnancy and obstetrical events with available follow-up information. Among neonatal outcomes (15 prospective; 28 retrospective), >85% were reported as full-term births. One premature birth was reported prospectively. Four other neonatal AEs were reported, all retrospectively: two cases of talipes (club foot), one central nervous system anomaly and one atrial septal defect. All infants with available information had normal APGAR scores at 5 minutes.

CONCLUSIONS

The frequency of AEs following exposure to IIV4 during pregnancy did not indicate new safety concerns.

Analysis of Neurological Adverse Events Reported in VigiBase From COVID-19 Vaccines

BACKGROUND

Fifteen COVID-19 vaccines have been granted emergency approval before the completion of conventional phases of clinical trials. The present study aimed to analyze the neurological adverse events (AEs) post-COVID-19 vaccination and focuses on determining the association of AEs with the vaccine.

METHODOLOGY

The neurological AEs reported for COVID-19 vaccines in the WHO pharmacovigilance database (VigiBase) were extracted from the System Organ Classes - neurological disorders and investigations. Descriptive statistics are reported as percentage and frequency and the disproportionality analysis was also conducted.

RESULTS

 For the neurological system, 19,529 AEs were reported. Of these, 15,638 events were reported from BNT162b2 vaccine, 2,751 from AZD1222 vaccine, 1,075 from mRNA-1273 vaccine, eight from Vero vaccine, two from Covaxin, and for 55 AEs, vaccine name was not mentioned. The reason for more AEs reported with BNT162b2 can be maximum vaccination with BNT162b2 vaccine in the study period. According to the disproportionality analysis based on IC₀₂₅ value, ageusia, anosmia, burning sensation, dizziness, facial paralysis, headache, hypoaesthesia, lethargy, migraine, neuralgia, paresis, parosmia, poor sleep quality, seizure, transient ischemic attack, and tremor are some of the AEs that can be associated with the administration of the vaccine.

CONCLUSION

The vaccines should be monitored for these AEs till the causality of these AEs with COVID-19 vaccines is established through further long-term follow-up studies. These neurological AEs reported in VigiBase should not be taken as conclusive and mass vaccination should be carried out to control the pandemic until a definite link of these adverse effects is established.

Validation of Artificial Intelligence to Support the Automatic Coding of Patient Adverse Drug Reaction Reports, Using Nationwide Pharmacovigilance Data

INTRODUCTION

Adverse drug reaction reports are usually manually assessed by pharmacovigilance experts to detect safety signals associated with drugs. With the recent extension of reporting to patients and the emergence of mass media-related sanitary crises, adverse drug reaction reports currently frequently overwhelm pharmacovigilance networks. Artificial intelligence could help support the work of pharmacovigilance experts during such crises, by automatically coding reports, allowing them to prioritise or accelerate their manual assessment. After a previous study showing first results, we developed and compared state-of-the-art machine learning models using a larger nationwide dataset, aiming to automatically pre-code patients' adverse drug reaction reports.

OBJECTIVES

We aimed to determine the best artificial intelligence model identifying adverse drug reactions and assessing seriousness in patients reports from the French national pharmacovigilance web portal.

METHODS

Reports coded by 27 Pharmacovigilance Centres between March 2017 and December 2020 were selected (n = 11,633). For each report, the Portable Document Format form containing free-text information filled by the patient, and the corresponding encodings of adverse event symptoms (in Medical Dictionary for Regulatory Activities Preferred Terms) and seriousness were obtained. This encoding by experts was used as the reference to train and evaluate models, which contained input data processing and machine-learning natural language processing to learn and predict encodings. We developed and compared different approaches for data processing and classifiers. Performance was evaluated using receiver operating characteristic area under the curve (AUC), F-measure, sensitivity, specificity and positive predictive value. We used data from 26 Pharmacovigilance Centres for training and internal validation. External validation was performed using data from the remaining Pharmacovigilance Centres during the same period.

RESULTS

Internal validation: for adverse drug reaction identification, Term Frequency-Inverse Document Frequency (TF-IDF) + Light Gradient Boosted Machine (LGBM) achieved an AUC of 0.97 and an F-measure of 0.80. The Cross-lingual Language Model (XLM) [transformer] obtained an AUC of 0.97 and an F-measure of 0.78. For seriousness assessment, FastText + LGBM achieved an AUC of 0.85 and an F-measure of 0.63. CamemBERT (transformer) + Light Gradient Boosted Machine obtained an AUC of 0.84 and an F-measure of 0.63. External validation for both adverse drug reaction identification and seriousness assessment tasks yielded consistent and robust results.

CONCLUSIONS

Our artificial intelligence models showed promising performance to automatically code patient adverse drug reaction reports, with very similar results across approaches. Our system has been deployed by national health authorities in France since January 2021 to facilitate pharmacovigilance of COVID-19 vaccines. Further studies will be needed to validate the performance of the tool in real-life settings.

Black Swan Events and Intelligent Automation for Routine Safety Surveillance

Effective identification of previously implausible safety signals is a core component of successful pharmacovigilance. Timely, reliable, and efficient data ingestion and related processing are critical to this. The term 'black swan events' was coined by Taleb to describe events with three attributes: unpredictability, severe and widespread consequences, and retrospective bias. These rare events are not well understood at their emergence but are often rationalized in retrospect as predictable. Pharmacovigilance strives to rapidly respond to potential black swan events associated with medicine or vaccine use. Machine learning (ML) is increasingly being explored in data ingestion tasks. In contrast to rule-based automation approaches, ML can use historical data (i.e., 'training data') to effectively predict emerging data patterns and support effective data intake, processing, and organisation. At first sight, this reliance on previous data might be considered a limitation when building ML models for effective data ingestion in systems that look to focus on the identification of potential black swan events. We argue that, first, some apparent black swan events-although unexpected medically-will exhibit data attributes similar to those of other safety data and not prove algorithmically unpredictable, and, second, standard and emerging ML approaches can still be robust to such data outliers with proper awareness and consideration in ML system design and with the incorporation of specific mitigatory and support strategies. We argue that effective approaches to managing data on potential black swan events are essential for trust and outline several strategies to address data on potential black swan events during data ingestion.

The Safety and Effectiveness of Infliximab Biosimilar in Managing Rheumatoid Arthritis: A Real-Life Experience from Jordan

BACKGROUND

Infliximab (IFX) biosimilar was the first biosimilar approved in Jordan in 2014, with limited evidence of its safety and effectiveness from the Middle East and North Africa (MENA) region. Thus, this study aimed to evaluate the safety and effectiveness of IFX biosimilar in active rheumatoid arthritis (RA) patients over 34 weeks by investigating (1) the adverse events (AEs), serious adverse events (SAEs), and therapy discontinuation and (2) the score changes of the 28-Joint Disease Activity Score (DAS28) and the Health Assessment Questionnaire Disability Index (HAQ-DI).

METHODS

This multicenter prospective cohort study collected clinical parameters within hospital settings every four weeks. The numbers and percentages of observed AEs and SAEs were informed. The DAS28 utilizing Erythrocyte Sedimentation Rate (ESR), HAQ-DI, and ESR were reported at baseline and 14th and 30th weeks; thus, they were reported as means (SD).

RESULTS

A total of 22 RA patients were enrolled and initiated IFX biosimilar, of which nine (41.0%) discontinued the study, but their data were analyzed up to the point of withdrawal. A total of 35 AEs were reported in 14 patients, including two (5.7%) SAEs. None of the participants discontinued treatment due to AEs. The mean (SD) score of DAS28-ESR significantly decreased from 6.55 (1.16) at baseline to 4.59 (1.45) at week 14 (p < 0.0001) and to 4.77 (1.09) at week 30 (p < 0.0001). Similarly, the mean (SD) HAQ-DI score significantly decreased from 0.95 (0.74) at baseline to 0.48 (0.62) at week 14 (p=0.008) and to 0.71 (0.78) at week 30 (p=0.483). The mean (SD) value of ESR decreased from 58.75 (26.94) at baseline to 47.92 (33.89) at week 14 (p=0.082) and to 39.83 (17.38) at week 30 (p=0.005).

CONCLUSION

IFX biosimilar demonstrated safety and effectiveness in managing RA patients bringing real-world clinical support for biosimilars' role in rheumatology.

The XINDI Study: A Randomized Phase III Clinical Trial Evaluating the Efficacy and Safety of Safinamide as Add-On Therapy to Levodopa in Chinese Patients with Parkinson's Disease with Motor Fluctuations

BACKGROUND

Levodopa remains the gold standard for the treatment of Parkinson's disease, but its long-term use is associated with motor complications whose management is still a significant challenge. Safinamide is a multimodal drug with proven efficacy as an adjunct to levodopa.

OBJECTIVE

The objective of this study was to investigate the efficacy and safety of safinamide as an add-on to levodopa in Chinese patients with Parkinson's disease with motor fluctuations.

METHODS

The XINDI study was a phase III, randomized, double-blind, placebo-controlled, multicenter study, with a 2-week screening period and a 16-week treatment period. The starting dose of safinamide (or placebo) was 50 mg once daily, increased to 100 mg once daily at day 15. Patients aged ≥  18 years, with idiopathic Parkinson's disease of &gt;3 years duration, Hoehn and Yahr stage 1-4, and daily OFF time ≥  1.5 h, were eligible. Patients should follow a stable oral levodopa regimen and may receive concomitant treatment with stable doses of other anti-Parkinson drugs, except monoamine oxidase-B inhibitors. Patients with severe disabling peak-dose or biphasic dyskinesia, unpredictable or widely swinging fluctuations, other forms of parkinsonism, a history of dementia or severe cognitive dysfunction, major psychiatric illnesses, and/or clinically significant medical illnesses were excluded. The primary efficacy endpoint was the change from baseline to week 16 in the mean daily OFF time. Secondary efficacy endpoints included the Unified Parkinson's Disease Rating Scale, the Numerical Rating Scale, the Clinical Global Impression scale, and the 39-Item Parkinson's Disease Questionnaire scale. The statistical analysis of the efficacy parameters was conducted using an analysis of co-variance, except for the Clinical Global Impression scale scores that were assessed using the Wilcoxon-Mann-Whitney test. Safety was evaluated through the frequency of adverse events and serious adverse events, physical examination, vital signs, 12-lead electrocardiograms, and laboratory exams. All safety endpoints were summarized using descriptive statistics.

RESULTS

The trial enrolled 307 patients. At week 16, the difference in the change of the mean total daily OFF time between safinamide and placebo groups was 1.10 h (p &lt; 0.0001). This change was significantly greater in the safinamide group starting from week 2, suggesting a rapid onset of drug efficacy. ON time, Unified Parkinson's Disease Rating Scale, Clinical Global Impression scale, and the 39-Item Parkinson's Disease Questionnaire showed statistically significant improvements. There were no significant between-group differences for adverse events or serious adverse events.

CONCLUSIONS

Safinamide, as add-on therapy to levodopa, significantly reduced motor fluctuations and improved motor symptoms and quality of life of Chinese patients with idiopathic Parkinson's disease. The improvements observed in the Unified Parkinson's Disease Rating Scale total and motor scores were also clinically significant. No safety concerns were identified, confirming the good tolerability profile of the drug.

CLINICAL TRIAL REGISTRATION

NCT03881371, registered on 19 March, 2019, https://clinicaltrials.gov/NCT03881371 .

Effectiveness and Safety of Golimumab in Patients with Ulcerative Colitis: A Multicenter, Prospective, Postmarketing Surveillance Study

Background/Aims

Golimumab has been used for patients with ulcerative colitis (UC) since 2013. However, there is limited data on the effectiveness and safety of the real-world use of golimumab in Asian patients.

Methods

This was a multicenter, prospective, observational study. We enrolled patients with moderate-to-severe UC who were administered subcutaneous golimumab at 46 medical centers between May 2014 and November 2019. The primary outcome was the effectiveness and safety of golimumab at week 22. Clinical outcomes and adverse events were assessed according to partial Mayo score at weeks 0, 2, 6, 14, and 22.

Results

A total of 130 patients were included (mean age 45.7±16.0 years). The clinical response/remission rates at weeks 2, 6, 14, and 22 were 40.4%/22.9%, 56.0%/35.8%, 70.6%/49.5%, and 67.9%/48.6%, respectively. Based on full Mayo score at week 14, clinical response and remission rates were 84.2% and 39.5%, respectively. Mucosal healing rate was 65.8%. In multivariate analysis with logistic regression, longer disease duration was significantly associated with a higher clinical response rate (adjusted odds ratio [aOR], 1.136; 95% confidence interval [CI], 1.006 to 1.282; p=0.040 at week 6; aOR, 1.256; 95% CI, 1.049 to 1.503; p=0.013 at week 22). A higher baseline Mayo endoscopic subscore was significantly associated with a lower clinical response rate at week 6 (aOR, 0.248; 95% CI, 0.089 to 0.692; p=0.008). The incidence of adverse drug reactions was 4.6% (6/130, nine events). No serious unexpected adverse drug reactions or deaths were reported.

Conclusions

Golimumab was effective and safe as an induction and maintenance treatment for Korean patients with moderate-to-severe UC.

Off-Label Use of Venetoclax in Patients With Acute Myeloid Leukemia: Single Center Experience and Data From Pharmacovigilance Database

The potent oral inhibitor of BCL2, venetoclax (VEN), used to treat adults with chronic lymphocytic leukaemia, has been approved in US for the treatment of naïve patients with acute myeloid leukemia (AML) unfit for intensive chemotherapy and recently in Europe, too. However, the drug has been used for years in combination with hypomethylating agents (HMAs) in patients not eligible to other treatment option, according to the so-called off-label use. We collected real-world data about patients treated with VEN + HMAs in the context of a pharmacovigilance project focused on the evaluation of the safety and effectiveness of drugs used for unapproved indication in Italian hospitals. From March to December 2020, 24 patients started treatment with VEN combined with HMAs. 21 patients have been assessed for response. Eleven (52%) patients reached complete remission (CR), and three patients (14%) CR with partial hematological recovery (CRh), with a median duration of response of 4.5 months (range 0.5–12.5). 19 patients experienced at least 1 adverse drug reaction (ADR), mostly serious, including 3 deaths (9% of ADRs; 12.5% of patients) in febrile neutropenia. Hematological toxicities and infections (cytopenia, neutropenia, febrile neutropenia, sepsis), were the most reported ADRs (84.4%). In general, neutropenic fever occurred more frequently in patients treated with decitabine (7 out of 9, 78%) compared to azacitidine (5 out of 15, 33%; p = 0.03), whereas response assessment did not differ based on used HMA (p = 0.1). These results confirm the benefit-risk profile of VEN in a real-world setting of patients with no adequate therapeutic options.

Common osteoporosis drug associated with increased rates of depression and anxiety

Osteoporosis affects over 10 million Americans over 50. Bisphosphonate therapy, mainly alendronate, is amongst the most prescribed treatments for the disease. The use of alendronate and other bisphosphonates has been associated with depressive symptoms in recent case reports. In this study we quantified this association by analyzing over 100,000 adverse events reports from the Food and Drug Administration Adverse Events Reporting System (FAERS) and the World Health Organization’s (WHO) global database for adverse drug reactions, ADRs, VigiAccess. We found that alendronate therapy is significantly associated with depression and anxiety when compared to other first-line osteoporosis treatments. The reported risk of depressive ADRs was found to be over 14-fold greater in patients taking alendronate under the age of 65 and over fourfold greater for patients over 65 compared to the control. Several hypotheses concerning the molecular mechanism of the observed association of alendronate and depressive symptoms were discussed.

β-adrenoceptor antagonists and nightmares: A pharmacoepidemiological-pharmacodynamic study

AIM

To compare different β-adrenoceptor antagonists for the risk of reporting nightmare.

METHODS

The study involved two approaches: first, we investigated in VigiBase^®, the World Health Organization Individual Case Safety Report (ICSR) database, the disproportionality between exposure to each β-adrenoceptor antagonists and reports of nightmares between 1967 and 2019. Second, in a pharmacoepidemiological-pharmacodynamic analysis, we assessed whether use of β-adrenoceptor antagonists with moderate and high lipid solubility or strong 5-HT_1A affinity were associated with an increased risk of reporting nightmares. We conducted multivariate logistic regression to estimate reporting odds ratios (RORs) of nightmares compared to all other adverse drug reactions.

RESULTS

Of the 126,964 reports recorded with β-adrenoceptor antagonists, 1138 (0.9%) were nightmares. The highest risk of reporting a nightmare was found with exposure of pindolol (adjusted ROR 2.82, 95%CI, 2.19-3.61), metoprolol (1.89, 1.66-2.16), and alprenolol (1.77, 1.06-2.97). Compared to use of low lipid solubility β-adrenoceptor antagonists, use of moderate or high lipid solubility β-adrenoceptor antagonists were significantly more associated with nightmare reports (aROR moderate vs. low 1.72, 95%CI 1.47-2.00 and aROR high vs. low 1.84, 95%CI 1.53-2.22). Use of moderate or high 5-HT_1A affinity of β-adrenoceptor antagonists was associated with an increased ROR of nightmares compared with low 5-HT_1A affinity of β-adrenoceptor antagonists (aROR moderate vs. low 1.22, 95%CI 1.04-1.43 and aROR high vs. low 2.46, 95%CI 1.93-3.13).

CONCLUSION

In our large pharmacovigilance study, nightmares are more frequently reported for pindolol and metoprolol, and among β-adrenoceptor antagonists with high lipid solubility and high 5-HT_1A receptor affinity.

Associations between osteoporosis and drug exposure: A post-marketing study of the World Health Organization pharmacovigilance database (VigiBase®)

BACKGROUND

Bone remodeling is a complex process, and many conditions (including drug exposure) lead to osteoporosis. Here, we sought to detect new disproportionality signals for drugs associated with osteoporosis.

METHODS

We performed a disproportionality analysis of the World Health Organization's VigiBase® pharmacovigilance database through April 12, 2020. The frequency of reports on osteoporosis for all identified drug classes was compared with that for all other drugs and quoted as the reporting odds ratio (ROR) [95% confidence interval (CI)].

RESULTS

Of the 7,594,968 cases spontaneously recorded to VigiBase®, 4758 concerned osteoporosis. New disproportionality signals with a pharmacologically plausible mechanism were found for drugs used in neurology (levodopa (ROR [95%CI]: 10.18 [4.33-25.10]), selective serotonin agonists (4.22 [2.34-7.00]) and memantine (4.10 [1.56-8.93])), hematology (romiplostim (4.93 [1.15-21.10])), pulmonology (macitentan (3.02 [1.84-4.90])), ophthalmology (ranibizumab (3.31 [1.00-10.51])) and rheumatology (tofacitinib (3.65 [3.00-4.40])). The robustness of these new results is supported by the significant RORs for the vast majority of drugs already known to induce osteoporosis and/or increase the fracture risk, namely glucocorticoids, gonadotropin-releasing hormone analogs, anti-aromatases, androgen receptor blockers, thyroid hormones, proton pump inhibitors, thiazolidinediones, vitamin K antagonists, loop diuretics, protease inhibitors, nucleoside and nucleotide reverse transcriptase inhibitors, and enzyme-inducing antiepileptics including barbiturates and derivatives, hydantoin derivatives, carboxamide derivatives and fatty acid derivatives.

CONCLUSION

We established up a comprehensive list of drugs potentially associated with osteoporosis and highlighted those with pharmacologically plausible mechanisms leading to bone fragility. Our results might pave the way for additional exploration of these mechanisms.

Persistent sexual dysfunction after SSRI withdrawal: a scoping review and presentation of 86 cases from the Netherlands

BACKGROUND

Sexual dysfunction is highly prevalent worldwide. A specific form is persistent sexual dysfunction after SSRI withdrawal. We conducted a systematic literature review in order to characterize factors related to post SSRI sexual dysfunction (PSSD) and analyzed spontaneous reports of persistent sexual dysfunction reported to the Netherlands Pharmacovigilance Center Lareb.

RESEARCH DESIGN AND METHODS

A systematic literature review was conducted following the PRISMA-ScR guidelines. In addition, reports of PSSD submitted to the Netherlands Pharmacovigilance Center Lareb between 1992 and 2021 were analyzed.

RESULTS

A total of 237 articles were retrieved through the search and 33 articles were selected for inclusion in this review, in accordance with the inclusion criteria. Information regarding the characteristics of the condition, its clinical management, patient characteristics, and impact of PSSD is presented. A total of 86 reports of persistent sexual dysfunction were analyzed. The longest case being a patient with PSSD for 23 years. The main symptoms were: loss or decreased libido (n = 53), erectile dysfunction (n = 23) and anorgasmia (n = 5).

CONCLUSIONS

PSSD impact includes sexual, psychological, and social consequences. Little is known about the mechanisms underlying PSSD and no effective treatment exists. It is necessary to increase recognition of PSSD among prescribers and improve its management at the clinical level.

Safety Profile of Ibrutinib: An Analysis of the WHO Pharmacovigilance Database

As ibrutinib has become a standard of care in B-cell malignancies in monotherapy or in combination with other agents, definition of its safety profile appears essential. The aim of this study was to further characterize the safety profile of ibrutinib through the identification of potential safety signals in a large-scale pharmacovigilance database. All serious individual case safety reports (ICSRs) in patients aged ≥18 years involving ibrutinib suspected in the occurrence of serious adverse drug reactions or drug interacting from November 13th, 2013 to December 31st, 2020 were extracted from VigiBase, the World Health Organization global safety database. Disproportionality reporting was assessed using the information component (IC) and the proportional reporting ratio (PRR), with all other anticancer drugs used as the reference group. To mitigate the confounding of age, two subgroups were considered: patients aged<75 years and ≥75 years. A signal of disproportionate reporting (SDR) was defined if both IC and PRR were significant. A total of 16,196 ICSRs were included. The median age of patients was 72.9 years, 42.6% of ICSRs concerned patients aged ≥75 years, and 64.2% male patients. More than half (56.2%) of ICSRs resulted in hospitalization or prolonged hospitalization. Among 713 SDRs, 36 potential safety signals emerged in ibrutinib-treated patients, mainly ischemic heart diseases, pericarditis, uveitis, retinal disorders and fractures. All potential safety signals having arisen in this analysis may support patient care and monitoring of ongoing clinical trials. However, owing to the mandatory limitations of this study, our results need further confirmation using population-based studies.

Neuropsychiatric adverse drug reactions associated with low dose methotrexate in rheumatoid arthritis patients

BACKGROUND

Neuropsychiatric adverse drug reactions (NPADRs) are not commonly associated with low dose methotrexate (LDMTX) in patients with rheumatoid arthritis (RA).

RESEARCH DESIGN AND METHODS

In this case series assessment, we described the nature and frequency of NPADRs with LDMTX in the Dutch DREAM-RA registry, including causality of NPADRs, the impact on further LDMTX treatment and the impact on patient reported Health Related Quality of Life (HRQoL).

RESULTS

A total of 71 NPADRs (frequency 6.8%) associated with LDMTX were captured in the DREAM-RA registry. NPADRs were registered for 62 (5.9%) out of 1048 patients with 10.9 NPADRs per 1000 patient years. Headache, dizziness and depression were most frequently reported. The causality was considered probable for 67 NPADRs (94.4%) and definite for 1 NPADR (1.4%). NPADRs led to LDMTX withdrawal in 34 cases (47.9%) and was not restarted in 16 cases (47.1%). Median mental HRQoL was significantly decreased around the occurrence of the NPADR and remained significantly lower after the event. Median physical HRQoL was not significantly affected.

CONCLUSIONS

Knowledge on the nature, frequency and impact of the demonstrated NPADRs during LDMTX therapy will enhance attention toward these potential ADRs allowing better risk assessment and communication to patients.

Efficacy and Safety of Etanercept Biosimilars Compared With the Originator for Treatment of Juvenile Arthritis: A Prospective Observational Study

OBJECTIVE

Analysis of etanercept biosimilars in pediatric patients with juvenile idiopathic arthritis (JIA) in comparison with the etanercept originator in terms of efficacy and safety.

METHODS

Patients diagnosed with JIA who started treatment with either the etanercept originator or a biosimilar after January 1, 2017, were selected from the German BIKER registry (Biologics in Paediatric Rheumatology Registry). Furthermore, patients who started therapy with the originator and switched to a biosimilar during the course of therapy were identified. For both patient groups, disease activity and safety were examined and compared separately.

RESULTS

After January 1, 2017, 348 patients started treatment with the etanercept originator (n = 293) or a biosimilar (n = 55). Another 57 patients switched to a biosimilar during the course of therapy. A significant decrease or a stable remission of disease activity was observed in both patient groups. The safety profiles were comparable, and frequencies and types of adverse events (AEs) and serious AEs were similar in patients starting therapy with the originator or a biosimilar. Only injection site reactions occurred slightly more frequently under biosimilar therapy, without having an impact on therapy adherence. In patients who switched therapy, the AE rate per 100 patient-years was comparable before (26.4) and after (32.1) the switch.

CONCLUSION

In patients with JIA who require treatment with etanercept, the originator is still used much more frequently. However, our study highlights the equivalence of etanercept biosimilars for therapy for JIA. Increased use of these biosimilars in pediatric patients can therefore be recommended without hesitation.

Yttrium-90 Radioembolization for the Treatment of Solitary, Unresectable HCC: The LEGACY Study

BACKGROUND AND AIMS

Locoregional therapies, including yttrium-90 radioembolization, play an important role in the treatment of unresectable HCC. The aim of the LEGACY (Local radioEmbolization using Glass Microspheres for the Assessment of Tumor Control with Y-90) study was to evaluate objective response rate (ORR) and duration of response (DoR) in patients with solitary unresectable HCC treated with yttrium-90 glass microspheres.

APPROACH AND RESULTS

LEGACY is a multicenter, single-arm, retrospective study conducted at three sites that included all eligible, consecutive patients with HCC treated with radioembolization between 2014 and 2017. Eligibility criteria included solitary HCC ≤ 8 cm, Child-Pugh A cirrhosis, and Eastern Cooperative Oncology Group performance status 0-1. Primary endpoints were ORR and DoR based on modified Response Evaluation Criteria in Solid Tumors in the treated area (localized), as evaluated by blinded, independent, central review. Radioembolization was performed with intent of ablative-level dosimetry in a selective fashion when possible. Overall survival was evaluated using Kaplan-Meier and multivariate Cox proportional hazards. Among the 162 patients included, 60.5% were Eastern Cooperative Oncology Group 0, and the median tumor size was 2.7 cm (range: 1-8) according to blinded, independent, central review. Radioembolization served as neoadjuvant therapy for transplantation or resection in 21.0% (34 of 162) and 6.8% (11 of 162) of patients, respectively, and as primary treatment for all others. Median follow-up time was 29.9 months by reverse Kaplan-Meier. ORR (best response) was 88.3% (CI: 82.4-92.4), with 62.2% (CI: 54.1-69.8) exhibiting a DoR ≥ 6 months. Three-year overall survival was 86.6% for all patients and 92.8% for those neoadjuvant patients with resected or transplanted liver.

CONCLUSIONS

In this multicenter study of radioembolization, clinical meaningful response rates and prolonged DoR were observed in the treatment of unresectable, solitary HCC ≤ 8 cm.

Pharmacovigilance Bibliometrics: Visualizing Thematic Development in the Category of Pharmacology and Pharmacy in Web of Science

Introduction: Pharmacovigilance studies include monitoring and preventing the occurrence of new, rare, or serious adverse drug reactions, making it possible to discover new safety issues without delay. Bibliometrics could assist scholars to analyze the development of pharmacovigilance.

Methods: The MeSH terms of both pharmacovigilance and “adverse drug reaction reporting system” were retrieved in the Science Citation Index Expanded. The articles from 1974 to July 2021 in the pharmacology and pharmacy category were recruited. The citation reports including the publication numbers, h-index, and sum and average cited times in terms of annuals, countries, organizations, authors and journals were tabulated. The coauthorship relations in the analysis units of countries, organizations, and authors; the top 10 burst references; the document citation network; and the author’s keywords co-occurrence overlay map were visualized by bibliometric software including the website (https://bibliometric.com/), VOSviewer, CiteSpace, and CitNetExplorer.

Results: From 1974 to the present, the most high-yield publication year, country, institute, author, and journal were 2020 (n = 222), France (n = 522), Netherlands Pharmacovigilance Centre Lareb (n = 82), Jean–Louis Montastruc (n = 125), Drug Safety (n = 384), respectively, in all 2,128 articles. Similarly, the United States, Institut National de la Sante et de la Recherche Medicale, and Jean–Louis Montastruc had the most coauthorship strength at the macrolevel (global), mesolevel (local), and microlevel (individual). The topics of burst references covered are the development of methodology, issues of patients reporting and under-reporting, evaluation of methods and databases, assessment of causality, and perspectives in pharmacovigilance. Eight clusters were grouped in the document citation network. “Pharmacovigilance,” “adverse drug reactions,” “pharmacoepidemiology,” “drug safety,” and “signal detection” were the research priorities, while “drug-related side effects and adverse reactions,” “VigiBase,” “disproportionality analysis,” “social media,” “FAERS,” “chemotherapy,” “patient safety,” “reporting odds ratio,” and “preventability” might be the future research hotspots.

Conclusion: Positive synergies can be observed in this study by employing the multiple software tools which established the relationship between the units of analysis. The bibliometric analysis can organize the thematic development and guide the hotspots of pharmacovigilance in pharmacology and pharmacy.

Quantifying the Severity of Adverse Drug Reactions Using Social Media: Network Analysis

BACKGROUND

Adverse drug reactions (ADRs) affect the health of hundreds of thousands of individuals annually in the United States, with associated costs of hundreds of billions of dollars. The monitoring and analysis of the severity of ADRs is limited by the current qualitative and categorical systems of severity classification. Previous efforts have generated quantitative estimates for a subset of ADRs but were limited in scope because of the time and costs associated with the efforts.

OBJECTIVE

The aim of this study is to increase the number of ADRs for which there are quantitative severity estimates while improving the quality of these severity estimates.

METHODS

We present a semisupervised approach that estimates ADR severity by using social media word embeddings to construct a lexical network of ADRs and perform label propagation. We used this method to estimate the severity of 28,113 ADRs, representing 12,198 unique ADR concepts from the Medical Dictionary for Regulatory Activities.

RESULTS

Our Severity of Adverse Events Derived from Reddit (SAEDR) scores have good correlations with real-world outcomes. The SAEDR scores had Spearman correlations of 0.595, 0.633, and -0.748 for death, serious outcome, and no outcome, respectively, with ADR case outcomes in the Food and Drug Administration Adverse Event Reporting System. We investigated different methods for defining initial seed term sets and evaluated their impact on the severity estimates. We analyzed severity distributions for ADRs based on their appearance in boxed warning drug label sections, as well as for ADRs with sex-specific associations. We found that ADRs discovered in the postmarketing period had significantly greater severity than those discovered during the clinical trial (P<.001). We created quantitative drug-risk profile (DRIP) scores for 968 drugs that had a Spearman correlation of 0.377 with drugs ranked by the Food and Drug Administration Adverse Event Reporting System cases resulting in death, where the given drug was the primary suspect.

CONCLUSIONS

Our SAEDR and DRIP scores are well correlated with the real-world outcomes of the entities they represent and have demonstrated utility in pharmacovigilance research. We make the SAEDR scores for 12,198 ADRs and the DRIP scores for 968 drugs publicly available to enable more quantitative analysis of pharmacovigilance data.

Association of patient, provider and facility related characteristics with statin associated side effects and statin use: Insight from the veteran's affairs healthcare system

BACKGROUND

Statin associated side effects (SASE) are a leading cause of statin discontinuation.

OBJECTIVE

We evaluated patient, provider, and facility characteristics associated with SASEs and whether these characteristics impact statin utilization.

METHODS

Patients with atherosclerotic cardiovascular disease (ASCVD) receiving care across the Veterans Affairs healthcare system from October 1, 2014 to September 30, 2015 were included. Multivariable logistic regression analyses were performed to determine (a) factors associated with SASE and (b) factors associated with statin use in those with SASE.

RESULTS

Our cohort included 1,225,576 patients with ASCVD. Of these, 171,189 (13.7%) had at least 1 reported SASE since year 2000. The most significant odds for SASEs were observed with female sex (odds ratio [OR] 1.40, 95% confidence interval [CI] 1.36, 1.45), White race (OR 1.43, 95% CI 1.41, 1.45), hypertension (OR 1.37, 95% CI 1.33, 1.41) and ischemic heart disease (IHD: OR 1.45, 95% CI 1.43, 1.47). Lower odds were noted with care at a teaching facility (OR 0.89, 95% CI 0.88, 0.90). Factors most associated with being on a statin among patients with SASE included having diabetes (OR 1.18, 95% CI 1.15, 1.20), IHD (OR 1.39, 95% CI 1.35, 1.43) and a higher number of cardiology visits (OR 1.08, 95% CI 1.07, 1.09), while female sex was associated with lower odds (OR 0.65, 95% CI 0.61, 0.69).

CONCLUSION

There are significant disparities in statin use by sex, ASCVD type, and comorbidities among secondary prevention patients with SASE, which represent areas for improvement in optimizing statin utilization.

Population-scale identification of differential adverse events before and during a pandemic

Adverse patient safety events, unintended injuries resulting from medical therapy, were associated with 110,000 deaths in the United States in 2019. A nationwide pandemic (such as COVID-19) further challenges the ability of healthcare systems to ensure safe medication use and the pandemic's effects on safety events remain poorly understood. Here, we investigate drug safety events across demographic groups before and during a pandemic using a dataset of 1,425,371 reports involving 2,821 drugs and 7,761 adverse events. Among 64 adverse events identified by our analyses, we find 54 increased in frequency during the pandemic, despite a 4.4% decrease in the total number of reports. Out of 53 adverse events with a pre-pandemic gender gap, 33 have seen their gap increase with the pandemic onset. We find that the number of adverse events with an increased reporting ratio is higher in adults (by 16.8%) than in older patients. Our findings have implications for safe medication use and preventable healthcare inequality in public health emergencies.

Human Papillomavirus Vaccination and Premature Ovarian Failure: A Disproportionality Analysis Using the Vaccine Adverse Event Reporting System

INTRODUCTION

There have been public health concerns about a potential association between human papillomavirus (HPV) vaccines and premature ovarian failure (POF) in young women.

OBJECTIVE

To identify a potential safety signal of POF after HPV vaccination using the United States (US) Vaccine Adverse Event Reporting System (VAERS) database.

METHODS

We manually selected relevant MedDRA preferred terms related to POF and identified in VAERS all POF reports in women less than 40 years of age between 2 July 1990 and 14 May 2018, followed by a review of narratives to confirm the cases. We conducted descriptive analyses on age, POF type, HPV vaccine type (HPV2, HPV4, HPV9), time to onset of POF, and dose rank. We described trends in reporting over time and assessed a potential safety signal using the proportional reporting ratio (PRR).

RESULTS

Of the 228,341 eligible POF reports, 281 (0.1%) were suspected to be associated with HPV vaccines. Median patient age was 15 years (range 11-39 years). POF events consisted mainly of amenorrhea (80.4%) and premature menopause (15.3%). Mean number of reported POF events significantly increased after the first HPV vaccine launch in 2006 with 22.2 POF cases/year up from 1.4 POF cases/year before the launch. PRR was 46.1 (95% confidence interval: 31.7-67.2) and sensitivity analyses yielded similar estimates.

CONCLUSION

Our study suggests the presence of a potential safety signal of POF associated with HPV vaccination, which may only be partly attributed to notoriety bias. Due to the well-known limitations of spontaneous reporting data, further investigations are warranted.

Safety and efficacy of dietary supplement (gintonin-enriched fraction from ginseng) in subjective memory impairment: A randomized placebo-controlled trial

Background

Gintonin inhibits β-amyloid production, increases acetylcholine level in the brain, and promotes neurogenesis. We evaluated the efficacy of gintonin-enriched fraction (GEF) in improving the cognitive performance in subjective memory impairment.

Methods

In this 8-week, randomized, assessor and participant blinded, placebo–controlled study, participants with subjective memory impairment but preserved cognitive function (Korean Mini-Mental State Examination [K-MMSE] score ≥23) were assigned to GEF 300mg/day or placebo. K-MMSE, Korean versions of the Alzheimer's disease assessment scale, color-word stroop test (K-CWST), clinical dementia rating, and Beck depression inventory-II were evaluated along with the safety profiles. The primary outcome was set as the change in the K-MMSE.

Results

Seventy-six participants complete the study protocol. After 8 weeks, there was no inter-group difference in the primary or secondary outcome score changes. However, GEF group showed an improvement in the K-MMSE scores (P= 0.026), and in the number of correct answers in both word reading (P= 0.008) and color reading (P= 0.005) of K-CWST, although only the improvement in the K-CWST scores were higher than the minimum clinically important difference. The frequency of adverse events was comparable between the groups and all were of mild severity.

Conclusion

GEF is safe but might not be effective in treating subjective memory impairment within the current study setting. However, GEF showed a trend of improving the global cognition and the frontal executive function. Further large-sized studies with longer follow-up period are warranted.

Clinical trial registration

This clinical trial was registered at Clinical Research Information Service of Korea Centers for Disease Control and Prevention: KCT0004636.

Tocilizumab in COVID-19: a study of adverse drug events reported in the WHO database

BACKGROUND

Elevated inflammatory cytokines in Coronavirus disease 2019 (COVID-19) affect the lungs leading to pneumonitis with a poor prognosis. Tocilizumab, a type of humanized monoclonal antibody antagonizing interleukin-6 receptors, is currently utilized to treat COVID-19. The present study reviews tocilizumab adverse drug events (ADEs) reported in the World Health Organization (WHO) pharmacovigilance database.

RESEARCH DESIGN AND METHODS

All suspected ADEs associated with tocilizumab between April to August 2020 were analyzed based on COVID-19 patients' demographic and clinical variables, and severity of involvement of organ system.

RESULTS

A total of 1005 ADEs were reported among 513 recipients. The majority of the ADEs (46.26%) were reported from 18-64 years, were males and reported spontaneously. Around 80%, 20%, and 64% were serious, fatal, and administered intravenously, respectively. 'Injury, Poisoning, and Procedural Complications' remain as highest (35%) among categorized ADEs. Neutropenia, hypofibrinogenemia were common hematological ADEs. The above 64 years was found to have significantly lower odds than of below 45 years. In comparison, those in the European Region have substantially higher odds compared to the Region of Americas.

CONCLUSION

Neutropenia, superinfections, reactivation of latent infections, hepatitis, and cardiac abnormalities were common ADEs observed that necessitate proper monitoring and reporting.

Methadone maintenance patients lack analgesic response to a cumulative intravenous dose of 32 mg of hydromorphone

OBJECTIVES

Acute pain management in patients with opioid use disorder who are maintained on methadone presents unique challenges due to high levels of opioid tolerance in this population. This randomized controlled study assessed the analgesic and abuse liability effects of escalating doses of acute intravenous (IV) hydromorphone versus placebo utilizing a validated experimental pain paradigm, quantitative sensory testing (QST).

METHODS

Individuals (N = 8) without chronic pain were maintained on 80-100 mg/day of oral methadone. Participants received four IV, escalating/incremental doses of hydromorphone over 270 min (32 mg total) or four placebo doses within a session test day. Test sessions were scheduled at least one week apart. QST and abuse liability measures were administered at baseline and after each injection.

RESULTS

No significant differences between the hydromorphone and placebo control conditions on analgesic indices for any QST outcomes were detected. Similarly, no differences on safety or abuse liability indices were detected despite the high doses of hydromorphone utilized. Few adverse events were detected, and those reported were mild in severity.

CONCLUSIONS

The findings demonstrate that methadone-maintained individuals are highly insensitive to the analgesic effects of high-dose IV hydromorphone and may require very high doses of opioids, more efficacious opioids, or combined non-opioid analgesic strategies to achieve adequate analgesia.

Anaphylactic reactions to local anesthetics in dental practice: a nationwide French retrospective study

OBJECTIVES

The primary aims of the present study were (1) to quantify and characterize anaphylactic type I reactions related to local anesthetics (LAs) drawing on the French Pharmacovigilance Database System over a 35-year period and (2) to focuse on reactions associated with dental procedures. The secondary aim was to infer an incidence rate in dental practice.

MATERIALS AND METHODS

All cases of anaphylactic reactions were selected using the algorithmic Standardized MeDRA Query "anaphylactic reaction." For each reaction, comprehensive data were collected, in particular the severity of symptoms, risk factors for anaphylaxis, and allergy testing. Imputability was assessed and a crude incidence rate in dental practice was estimated.

RESULTS

The first-line search identified 416 anaphylactic reactions, mostly of grade II (138) or III (240) severity. When restricted to dental practice, this number fell to 26 (grade I: 4; grade II: 10; grade III: 11; and grade IV: 1). Lidocaine was most often involved (81.49%) and mostly associated with anaphylactic reactions of grade II and III. Overall, 11 cases of fatal anaphylaxis were recorded, but no in dental practice. In dental practice, lidocaine was also the most frequently involved LA (57.69%).

CONCLUSIONS

All these findings highlight the very low incidence of type I-IgE-mediated reactions to LA, particularly in dental practice. The incidence rate of LA anaphylctic episodes in dental practice was estimated as 0.0261 anaphylactic episodes per million LA cartridges.

CLINICAL RELEVANCE

True anaphylactic reactions to LAs do occur and may justify a thorough investigation in dental practice.

Adverse reactions with levamisole vary according to its indications and misuse: a systematic pharmacovigilance study

AIM

Levamisole was initially prescribed for the treatment of intestinal worms. Because of immunomodulatory properties, levamisole has been used in inflammatory pathologies and in cancers in association with 5-fluorouracil. Levamisole is misused as a cocaine adulterant. Post-marketing reports have implicated levamisole in the occurrence of adverse drug reactions (ADRs) and its use is now limited in Europe and North America. In contrast, all other parts of the World continue to use single-dose as an anthelmintic. The aim of this study was to identify ADRs reported after levamisole exposure in VigiBase, the WHO's pharmacovigilance database, and analyze their frequency compared to other drugs and according to levamisole type of use.

METHODS

All levamisole-related ADRs were extracted from VigiBase®. Disproportionality analyses were conducted to investigate psychiatric, hepatobiliary, renal, vascular, nervous, blood, skin, cardiac, musculoskeletal and general ADRs associated with levamisole and other drugs exposure. In secondary analyses, we compared the frequency of ADRs between levamisole and mebendazole and between levamisole type of use.

RESULTS

Among the 1763 levamisole-related ADRs identified, psychiatric disorders (Reporting Odds-Ratio with 95% confidence intervals: 1.4 [1.2-2.6]), hepatobiliary disorders (2.4 [1.9-4.3]), vasculitis (6.5 [4.1-10.6]), encephalopathy (22.5 [17.4-39.9]), neuropathy (4.3 [2.9-7.1]), hematological disorders, mild rashes and musculoskeletal disorders were more frequently reported with levamisole than with other drug. The majority of levamisole-related ADRs occurred when the drug was administrated for a non-anti-infectious indication.

CONCLUSION

The great majority of the levamisole-related ADRs concerned its immunomodulatory indication and multiple doses regimen. Our results suggest that single-dose treatments for anthelmintic action have a good safety profile.

A phase 1, open-label, drug-drug interaction study of rucaparib with rosuvastatin and oral contraceptives in patients with advanced solid tumors

Purpose

This study aimed at evaluating the effect of rucaparib on the pharmacokinetics of rosuvastatin and oral contraceptives in patients with advanced solid tumors and the safety of rucaparib with and without coadministration of rosuvastatin or oral contraceptives.

Methods

Patients received single doses of oral rosuvastatin 20 mg (Arm A) or oral contraceptives ethinylestradiol 30 µg + levonorgestrel 150 µg (Arm B) on days 1 and 19 and continuous doses of rucaparib 600 mg BID from day 5 to 23. Serial blood samples were collected with and without rucaparib for pharmacokinetic analysis.

Results

Thirty-six patients (n = 18 each arm) were enrolled and received at least 1 dose of study drug. In the drug–drug interaction analysis (n = 15 each arm), the geometric mean ratio (GMR) of maximum concentration (C_max) with and without rucaparib was 1.29 for rosuvastatin, 1.09 for ethinylestradiol, and 1.19 for levonorgestrel. GMR of area under the concentration–time curve from time zero to last quantifiable measurement (AUC_0–last) was 1.34 for rosuvastatin, 1.43 for ethinylestradiol, and 1.56 for levonorgestrel. There was no increase in frequency of treatment-emergent adverse events (TEAEs) when rucaparib was given with either of the probe drugs. In both arms, most TEAEs were mild in severity and considered unrelated to study treatment.

Conclusion

Rucaparib 600 mg BID weakly increased the plasma exposure to rosuvastatin or oral contraceptives. Rucaparib safety profile when coadministered with rosuvastatin or oral contraceptives was consistent with that of rucaparib monotherapy. Dose adjustments of rosuvastatin and oral contraceptives are not necessary when coadministered with rucaparib.

ClinicalTrials.gov NCT03954366; Date of registration May 17, 2019.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00280-021-04338-7.

Antidepressant side effects and their impact on treatment outcome in people with major depressive disorder: an iSPOT-D report

Side effects to antidepressant medications are common and can impact the prognosis of successful treatment outcome in people with major depressive disorder (MDD). However, few studies have investigated the severity of side effects over the course of treatment and their association with treatment outcome. Here we assessed the severity of side effects and the impact of treatment type and anxiety symptoms over the course of treatment, as well as whether side effects were associated with treatment outcome. Participants were N = 1008 adults with a current diagnosis of single-episode or recurrent, nonpsychotic MDD. Participants were randomised to receive escitalopram, sertraline, or venlafaxine-extended release with equal probability and reassessed at 8 weeks regarding Hamilton Rating Scale Depression (HRSD₁₇) and Quick Inventory of Depressive Symptomatology (QIDS-SR₁₆) remission and response. Severity of side effects were assessed using the Frequency, Intensity, and Burden of Side Effects Rating (FIBSER) scale and assessed at day 4 and weeks 2, 4, 6, and 8. Frequency, intensity, and burden of side effects were greatest at week 2, then only frequency and intensity of side effects gradually decreased up to week 6. Treatment type and anxiety symptoms did not impact the severity of side effects. A greater burden-but not frequency or intensity-of side effects was associated with poorer treatment outcome and as early as 4 days post-treatment. Together, this work provides an informative mapping of the progression of side effects throughout the treatment course and their association with treatment outcome. Importantly, the burden of side effects that are present as early as 4 days post-treatment predicts poorer treatment outcome and should be monitored closely. iSPOT-D: Registry name: ClinicalTrials.gov. Registration number: NCT00693849.

Safety of Anthroposophic Medicinal Products: An Analysis of Adverse Drug Reactions from German Pharmacovigilance Databases

BACKGROUND

Anthroposophic medicinal products (AMPs) are widely used in Europe and world-wide.

OBJECTIVE

To determine the frequency of reported adverse drug reactions (ADRs) from all AMPs on the market, in absolute numbers and relative to the maximum daily administration doses (MDADs).

PATIENTS AND METHODS

Retrolective safety analysis of AMP-related ADRs in pharmacovigilance databases of four AMP Marketing Authorisation Holders in Germany. For each ADR, information about the patient, outcome, causality and AMP was retrieved. Primary outcome was the frequency of reported ADRs relative to MDADs sold.

RESULTS

In the period 2010-2017, a total of 5506 ADRs were reported that had occurred in 2765 different patients, comprising 370 different AMPs. A total of 104 ADRs (1.9%) were classified as serious. The frequency of ADRs for all AMPs was 1.50 per million MDADs. For serious ADRs the frequency was 0.03 per million MDADs. ADRs were more frequently reported with parenteral AMP administration (injections) than with oral or local administration (18.85 vs. 0.59 vs. 1.61 ADRs per million MDADs, respectively; p < 0.0001). The large majority of users (91.9%) had recovered or were recovering from the ADRs and there were no reports with a fatal outcome. Most frequently reported ADR symptom was injection site inflammation for parenteral AMPs (4.66 ADRs per million MDADs), nausea for oral AMPs (0.03 ADRs per million MDADs), and eye irritation for locally administered AMPs (0.23 ADRs per million MDADs).

CONCLUSIONS

In this retrolective safety analysis of pharmacovigilance data, the frequency of ADRs to AMPs was 1.50 per million MDADs. Notably, the ADR frequency in this study based on spontaneous reporting is not directly comparable to frequencies in prospective clinical studies nor to frequencies based on other measures of patient exposure than MDADs.

Cardiovascular Adverse Events Reported from COVID-19 Vaccines: A Study Based on WHO Database

BACKGROUND

Thirteen COVID-19 vaccines are granted emergency approval. It is crucial to monitor their adverse events post vaccination. The present study focuses on cardiovascular adverse events post-COVID-19 vaccination and aims to determine adverse events with the administered vaccine.

METHODOLOGY

The cardiovascular (CVS) adverse events were extracted for three broad headings (SOCs) - cardiac disorders, vascular disorders, and investigations. Descriptive statistics were reported in the form of percentage and frequency, and the disproportionality analysis was conducted.

RESULTS

For the cardiovascular system, 4863 adverse events (AEs) were reported from BNT162b2 Pfizer, 1222 AstraZeneca, Moderna, and other COVID-19 vaccines. Common adverse events observed with vaccines under study were tachycardia (16.41%), flushing (12.17%), hypertension (5.82%), hypotension (3.60%) and peripheral coldness (2.41%). Based on disproportionality analysis (IC025 values), acute myocardial infarction, cardiac arrest, and circulatory collapse were linked to the vaccines in the age group >75 years. Hypertension, severe hypertension, supraventricular tachycardia, sinus tachycardia, and palpitations were associated across all age groups and either gender. Amongst the investigations, abnormal ECG findings raised C-reactive protein, elevated D dimer, and troponin were reported in specific age groups or gender or all subjects.

CONCLUSION

Although cardiovascular events have been reported with the COVID-19 vaccines, the causality is yet to be established because such CVS AEs are also usually associated with the general public even without intervention. Hence, people should be administered these vaccines, and sustained monitoring of these AEs should be done.

[Antidepressive agents and hypertension: A case/no-case study in French pharmacovigilance database]

INTRODUCTION

Drug-induced hypertension was described with several pharmacological classes. The association between hypertension and antidepressant drugs (AD) is controversial. The objective of this study was to evaluate the link between hypertension and ADs.

MATERIALS AND METHODS

A retrospective disproportionality analysis from observations consecutively reported to the French pharmacovigilance database between 1985 and 2020 was performed. The relationship between the suspected ADs and the occurrence of hypertension was assessed by calculating the reporting odds ratio (ROR) in a case/non-case design. A negative (paracetamol) and a positive (celecoxib) control were used to validated this disproportionality method.

RESULTS

We compared 6725 cases (including 464 AD-related cases) to 789,483 non-cases (including 56,440 AD-related cases). The reporting of hypertension was significantly associated with serotonin/norepinephrine reuptake inhibitors (SNRI) (ROR 1.43, 95 % CI 1.26-1.64) and monoamine oxidase inhibitors (MAOI) (ROR 6.41, 95 % CI 4.25-9.67) but not with other ADs classes. Concerning ADs analyzed independently of their AD class, a significant signal was observed with many SNRIs (duloxetin, milnacipran and venlafaxin) and with all MAOIs (moclobemide, iproniazide) (ROR between 2.04 and 17.93) but not with others ADs. The ROR value of positive (celecoxib) and negative (paracetamol) controls were ROR=1.53; IC95 %=1.04-2.26 and ROR=0.72; IC95 %=0.65-0.80, respectively.

CONCLUSION

We found a significant association between development or worsening of hypertension and SNRIs and MAOIs but not with others ADs, in this study performed in real conditions of life. It is therefore advisable to remain cautious when prescribing ADs and to check systematically for hypertension.

DeepADEMiner: a deep learning pharmacovigilance pipeline for extraction and normalization of adverse drug event mentions on Twitter

Objective

Research on pharmacovigilance from social media data has focused on mining adverse drug events (ADEs) using annotated datasets, with publications generally focusing on 1 of 3 tasks: ADE classification, named entity recognition for identifying the span of ADE mentions, and ADE mention normalization to standardized terminologies. While the common goal of such systems is to detect ADE signals that can be used to inform public policy, it has been impeded largely by limited end-to-end solutions for large-scale analysis of social media reports for different drugs.

Materials and Methods

We present a dataset for training and evaluation of ADE pipelines where the ADE distribution is closer to the average ‘natural balance’ with ADEs present in about 7% of the tweets. The deep learning architecture involves an ADE extraction pipeline with individual components for all 3 tasks.

Results

The system presented achieved state-of-the-art performance on comparable datasets and scored a classification performance of F₁ = 0.63, span extraction performance of F₁ = 0.44 and an end-to-end entity resolution performance of F₁ = 0.34 on the presented dataset.

Discussion

The performance of the models continues to highlight multiple challenges when deploying pharmacovigilance systems that use social media data. We discuss the implications of such models in the downstream tasks of signal detection and suggest future enhancements.

Conclusion

Mining ADEs from Twitter posts using a pipeline architecture requires the different components to be trained and tuned based on input data imbalance in order to ensure optimal performance on the end-to-end resolution task.

Informing selection of drugs for COVID-19 treatment through adverse events analysis

Coronavirus disease 2019 (COVID-19) is an ongoing pandemic and there is an urgent need for safe and effective drugs for COVID-19 treatment. Since developing a new drug is time consuming, many approved or investigational drugs have been repurposed for COVID-19 treatment in clinical trials. Therefore, selection of safe drugs for COVID-19 patients is vital for combating this pandemic. Our goal was to evaluate the safety concerns of drugs by analyzing adverse events reported in post-market surveillance. We collected 296 drugs that have been evaluated in clinical trials for COVID-19 and identified 28,597,464 associated adverse events at the system organ classes (SOCs) level in the FDA adverse events report systems (FAERS). We calculated Z-scores of SOCs that statistically quantify the relative frequency of adverse events of drugs in FAERS to quantitatively measure safety concerns for the drugs. Analyzing the Z-scores revealed that these drugs are associated with different significantly frequent adverse events. Our results suggest that this safety concern metric may serve as a tool to inform selection of drugs with favorable safety profiles for COVID-19 patients in clinical practices. Caution is advised when administering drugs with high Z-scores to patients who are vulnerable to associated adverse events.

Rucaparib maintenance treatment for recurrent ovarian carcinoma: the effects of progression-free interval and prior therapies on efficacy and safety in the randomized phase III trial ARIEL3

INTRODUCTION

In ARIEL3 (NCT01968213), the poly(adenosine diphosphate-ribose) polymerase inhibitor rucaparib significantly improved progression-free survival versus placebo regardless of biomarker status when used as maintenance treatment for recurrent ovarian cancer. The aim of the current analyses was to evaluate the efficacy and safety of rucaparib in subgroups based on progression-free interval following penultimate platinum, number of prior chemotherapies, and prior use of bevacizumab.

METHODS

Patients were randomized 2:1 to rucaparib 600 mg twice daily or placebo. Within subgroups, progression-free survival was assessed in prespecified, nested cohorts: BRCA-mutant, homologous recombination deficient (BRCA-mutant or wild-type BRCA/high genomic loss of heterozygosity), and the intent-to-treat population.

RESULTS

In the intent-to-treat population, median investigator-assessed progression-free survival was 8.2 months with rucaparib versus 4.1 months with placebo (n=151 vs n=76; HR 0.33, 95% CI 0.24 to 0.46, p<0.0001) for patients with progression-free interval 6 to ≤12 months, and 13.6 versus 5.6 months (n=224 vs n=113; HR 0.39, 95% CI 0.30 to 0.52, p<0.0001) for those with progression-free interval >12 months. Median progression-free survival was 10.4 versus 5.4 months (n=231 vs n=124; HR 0.42, 95% CI 0.32 to 0.54, p<0.0001) for patients who had received two prior chemotherapies, and 11.1 versus 5.3 months (n=144 vs n=65; HR 0.28, 95% CI 0.19 to 0.41, p<0.0001) for those who had received ≥3 prior chemotherapies. Median progression-free survival was 10.3 versus 5.4 months (n=83 vs n=43; HR 0.42, 95% CI 0.26 to 0.68, p=0.0004) for patients who had received prior bevacizumab, and 10.9 versus 5.4 months (n=292 vs n=146; HR 0.35, 95% CI 0.28 to 0.45, p<0.0001) for those who had not. Across subgroups, median progression-free survival was also significantly longer with rucaparib versus placebo in the BRCA-mutant and homologous recombination deficient cohorts. Safety was consistent across subgroups.

CONCLUSIONS

Rucaparib maintenance treatment significantly improved progression-free survival versus placebo irrespective of progression-free interval following penultimate platinum, number of lines of prior chemotherapy, and previous use of bevacizumab.

Feature engineering and machine learning for causality assessment in pharmacovigilance: Lessons learned from application to the FDA Adverse Event Reporting System

BACKGROUND

Our objective was to support the automated classification of Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) reports for their usefulness in assessing the possibility of a causal relationship between a drug product and an adverse event.

METHOD

We used a data set of 326 redacted FAERS reports that was previously annotated using a modified version of the World Health Organization-Uppsala Monitoring Centre criteria for drug causality assessment by a group of SEs at the FDA and supported a similar study on the classification of reports using supervised machine learning and text engineering methods. We explored many potential features, including the incorporation of natural language processing on report text and information from external data sources, for supervised learning and developed models for predicting the classification status of reports. We then evaluated the models on a larger data set of previously unseen reports.

RESULTS

The best-performing models achieved recall and F1 scores on both data sets above 0.80 for the identification of assessable reports (i.e. those containing enough information to make an informed causality assessment) and above 0.75 for the identification of reports meeting at least a Possible causality threshold.

CONCLUSIONS

Causal inference from FAERS reports depends on many components with complex logical relationships that are yet to be made fully computable. Efforts focused on readily addressable tasks, such as quickly eliminating unassessable reports, fit naturally in SE's thought processes to provide real enhancements for FDA workflows.