NSAID (nonsteroidal anti-inflammatory drugs) Induced Stevens Johnson Syndrome in a 50-year-old woman: A case study

Stevens-Johnson Syndrome (SJS) is a severe and rare adverse drug reaction associated with significant morbidity and mortality. Although SJS is commonly triggered by multiple drugs, non-steroidal anti-inflammatory drugs (NSAIDs), including diclofenac, have been frequently implicated. A middle-aged woman, who is 50 years old, has a prior medical record of high blood pressure, type 2 diabetes, and has recently suffered from a pulmonary embolism. She was later admitted to the intensive care unit (ICU), where she was ultimately diagnosed with Steven Johnson syndrome. Careful drug selection, close monitoring of patients with predisposing factors, and prompt identification of adverse events are crucial to prevent severe drug reactions.

TIRPnet: Risk prediction of traditional Chinese medicine ingredients based on a deep neural network

ETHNOPHARMACOLOGICAL RELEVANCE

Traditional Chinese medicine (TCM) has a history of over 3000 years of medical practice. Due to the complex ingredients and unclear pharmacological mechanism of TCM, it is very difficult to predict its risks. With the increase in the number and severity of spontaneous reports of adverse drug reactions (ADRs) of TCM, its safety has received widespread attention.

AIM OF THE STUDY

In this study, we proposed a framework based on deep learning to predict the probability of adverse reactions caused by TCM ingredients and validated the model using real-world data.

MATERIALS AND METHODS

The spontaneous reporting data from Jiangsu Province of China was selected as the research data, which included 72,561 ADR reports of TCMs. All the ingredients of these TCMs were collected from the medical website and correlated with the corresponding ADRs. Then, a risk prediction model was constructed based on a deep neural network (DNN), named TIRPnet. Based on one-hot encoded data, our model achieved the optimal performance by fine-tuning some hyperparameters. The ten most commonly used TCM ingredients and their ADRs were collected as the test set to evaluate their performance as objective criteria.

RESULTS

TIRPnet was constructed as a 7-layer DNN. The experimental results showed that TIRPnet performs excellently in all indicators, with a sensitivity of 0.950, specificity of 0.995, accuracy of 0.994, precision of 0.708, and F1 of 0.811.

CONCLUSIONS

The proposed TIRPnet owns the ability to predict the ADRs of a single TCM ingredient by learning a large number of TCM-related spontaneous reports, which can help doctors design safe prescriptions and provide technical support for the pharmacovigilance of TCM.

Knowledge Graphs in Pharmacovigilance: A Step-By-Step Guide

PURPOSE

This work aims to demystify Knowledge Graphs (KGs) in pharmacovigilance (PV). It complements the scoping review within this issue. By bridging knowledge gaps and stimulating interest, further engagement with this topic by pharmacovigilance professionals will be facilitated.

METHODS

We elucidate fundamental KGs concepts and terminology, followed by delineating a sequence of implementation steps: use case definition, data type selection, data sourcing, KG construction, KG embedding, and deriving actionable insights. Information technology options and limitations are also explored.

FINDINGS

KGs in pharmacovigilance is a multi-disciplinary field involving information technology, machine learning, biology, and PV. We were able to synthesize the relevant core concepts to create an intuitive exposition of KGs in PV.

IMPLICATIONS

This work demystifies KGs with a pharmacovigilance focus, preparing readers for the accompanying in-depth scoping review. that follows. It lays the groundwork for advancing PV research and practice by emphasizing the importance of engaging with vigilance experts. This approach enhances knowledge sharing and collaboration, contributing to more effective and informed pharmacovigilance efforts and optimal assessment and deployment of KGs in PV.

Leukotriene-modifying agents may increase the risk of depression: A cross-sectional study

INTRODUCTION

Post-market monitoring has shown a potential link between the use of leukotriene-modifying agents (LTRAs) and an increased risk of neuropsychiatric events, such as depression. However, observational studies have produced inconsistent findings, offering no definitive conclusions.

OBJECTIVE

To assess the potential correlation between LTRAs exposure and depression in US adults.

METHOD

This cross-sectional study, based on population data from the National Health and Nutrition Examination Survey (NHANES) 2007-2016 cycle. The Patient Health Questionnaire-9 was used to assess depression. Multivariable regression was used to evaluate the association between LTRAs exposure and depression. Sensitivity and subgroup analyses were conducted, with the calculation of the E-value. Network pharmacology was employed to investigate the influence of LTRAs on mechanisms of depression.

RESULTS

Among the 9414 participants, 595 (6.3 %) were classified as having depression. LTRAs exposure was associated with a higher prevalence of depression (16.9 % vs. 6.0 %). The multivariable logistic regression results showed that LTRAs use increased the risk of depression (OR = 1.70; 95 % CI, 1.05-2.75). An association between LTRAs exposure and depression was found in sensitivity analyses conducted regardless of multivariable linear regression with the PHQ-9 score as a continuous variable (β = 0.97; 95 % CI, 0.44-1.50) or multivariable logistic regression with the PHQ-9 cut-off of 5 (OR = 1.52; 95 % CI, 1.08-2.14). The association between LTRAs and depression was stable in the different subgroups.

CONCLUSION

LTRAs exposure is positively associated with depression in US adults. Therefore, the risk for depression in patients receiving long-term LTRAs treatment should be considered.

Exploring the impact of co-exposure timing on drug-drug interactions in signal detection through spontaneous reporting system databases: a scoping review

INTRODUCTION

Drug-drug interactions (DDIs) are defined as the pharmacological effects produced by the concomitant administration of two or more drugs. To minimize false positive signals and ensure their validity when analyzing Spontaneous Reporting System (SRS) databases, it has been suggested to incorporate key pharmacological principles, such as temporal plausibility.

AREAS COVERED

The scoping review of the literature was completed using MEDLINE from inception to March 2023. Included studies had to provide detailed methods for identifying DDIs in SRS databases. Any methodological approach and adverse event were accepted. Descriptive analyzes were excluded as we focused on automatic signal detection methods. The result is an overview of all the available methods for DDI signal detection in SRS databases, with a specific focus on the evaluation of the co-exposure time of the interacting drugs. It is worth noting that only a limited number of studies (n = 3) have attempted to address the issue of overlapping drug administration times.

EXPERT OPINION

Current guidelines for signal validation focus on factors like the number of reports and temporal association, but they lack guidance on addressing overlapping drug administration times, highlighting a need for further research and method development.

Profile of adverse drug reactions reported via the Continuum+ platform: Results from three-year regional follow-up

In 2017, the Continuum+ platform was launched to provide a monitoring solution to home-based cancer care patients: AKO@dom monitoring. This platform also offers the follow-up of adverse drug reactions (ADRs) via direct notification to regional centers of pharmacovigilance (RCPVs). According to previous studies, the AKO@dom monitoring has successfully maintained treatment at the maximum effective dosage, managing ADRs and patient satisfaction. However, on the pharmacovigilance side, opinions are more divided. Due to the launch of the AKO@dom-PICTO experimentation in December 2021, in which our RCPV takes part, and to provide more data on pharmacovigilance, we decided to conduct a descriptive analysis of cases reported to our RCPV via the Continuum+ platform between 2019 and 2022. During these three years, we analyzed 1070 events, corresponding to 37 patients. Patients were primarily women (74.8%) aged around seventy with breast cancer. The most used drugs were tyrosine kinase inhibitors: palbociclib (29.7%), axitinib (16.2%), and cabozantinib (13.2%). Patients had an average of 8 ADRs, including one serious and/or unexpected ADR. Although the Continuum+ platform makes it possible to considerably limit under-reporting in pharmacovigilance, it has shortcomings. The lack of medical elements and context in notifications is a massive problem for analyzing pharmacovigilance reports. Improved access to the platform's medical information for RCPVs and pharmacovigilance training for healthcare professionals would make Continuum+ a helpful tool in pharmacovigilance.

The prevalence of hepatic and thyroid toxicity associated with imatinib treatment of chronic myeloid leukaemia: a systematic review

BACKGROUND

Imatinib, a potent inhibitor of targeted protein tyrosine kinases, treats chronic myeloid leukaemia (CML). Data on imatinib-associated changes in hepatic and thyroid functions are limited and conflicting.

AIM

To report the prevalence of hepatic and thyroid toxicity associated with the use of imatinib in CML patients.

METHOD

Articles for the systematic review were selected from electronic databases (PubMed, CINALH, Web of Science). Readily accessible peer-reviewed full articles in English published 1st January 2000 to 18th July 2023 were included. The search terms included combinations of: imatinib, CML, liver toxicity, hepatic toxicity, thyroid toxicity. Screening of titles, abstracts, full text articles was conducted independently by two reviewers. Inclusions and exclusions were recorded following PRISMA guidelines. Detailed reasons for exclusion were recorded. Included articles were critically appraised.

RESULTS

Ten thousand one hundred and twenty-three CML patients were reported in the 82 included studies corresponding to 21 case reports, 2 case series, 39 clinical trials and 20 observational studies were selected. Excluding case studies/reports, 1268 (12.6%; n = 1268/10046) hepatotoxicity adverse events were reported, of which 64.7% were rated as mild grade I & II adverse events, 363 (28.6%) as severe, grade III and IV adverse events; some led to treatment discontinuation, liver transplantation and fatal consequences. Twenty (35.1%) studies reported discontinuation of imatinib treatment due to the severity of hepatic toxicity. Fourteen (8.4%, n = 14/167) thyroid dysfunction adverse events were reported.

CONCLUSION

High frequency of mild and severe hepatotoxicity, associated with imatinib in CML patients, was reported in the published literature. Low numbers of mild and manageable thyroid toxicity events were reported.

Comparison of the incidence of nausea and vomiting between linezolid and vancomycin using claims database: a retrospective cohort study

BACKGROUND

Nausea and vomiting during linezolid therapy have been reported as part of safety analyses in clinical trials. We have previously examined the incidence of vomiting during linezolid therapy (18.1%). A previous study conducted at a single hospital showed low external validity. It is necessary to verify whether these results can be reproduced using generalizable data sources.

AIM

To evaluate the incidence of nausea and vomiting during linezolid therapy compared with vancomycin using a Japanese claims database.

METHOD

Patients administered linezolid or vancomycin were selected from the database between January 2005 and June 2017. The primary endpoint was the comparison of nausea and vomiting between the linezolid and vancomycin groups. We conducted propensity score matching (PSM) to adjust for patient characteristics. To assess risk factors for nausea and vomiting, logistic regression was conducted as the secondary endpoint. We defined nausea and vomiting as the first prescription of antiemetics during linezolid or vancomycin therapy as a surrogate endpoint.

RESULTS

In total, 1215 patients were enrolled. After PSM, the number of patients in the linezolid and vancomycin groups was 241. Nausea and vomiting were observed in 11.2% and 5.0% of patients in the linezolid and vancomycin groups, respectively (p < 0.05). Linezolid administration was extracted as a risk factor for nausea and vomiting (odds ratio, 2.09; 95% confidence interval, 1.02-4.30).

CONCLUSION

This study clarified the relationship between linezolid and nausea and vomiting using a Japanese claims database. Further studies are required to elucidate the unknown mechanisms of linezolid-induced nausea and vomiting.

Analysis of post-market adverse events of istradefylline: a real-world study base on FAERS database

Analyze the adverse event (AE) signals of istradefylline based on the FAERS database. By extracting large-scale data from the FAERS database, this study used various signal quantification techniques such as ROR, PRR, BCPNN, and MGPS to calculate and evaluate the ratio and association between istradefylline and specific AEs. In the FAERS database, this study extracted data from the third quarter of 2019 to the first quarter of 2023, totaling 6,749,750 AE reports. After data cleansing and drug screening, a total of 3633 AE reports related to istradefylline were included for analysis. Based on four calculation methods, this study unearthed 25 System Organ Class (SOC) AE signals and 82 potential preferred terms (PTs) related to istradefylline. The analysis revealed new AEs during istradefylline treatment, including reports of Parkinsonism hyperpyrexia syndrome (n = 3, ROR 178.70, PRR 178.63, IC 1.97, EBGM 165.63), Compulsions (n = 5, ROR 130.12, PRR 130.04, IC 2.53, EBGM 123.02), Deep brain stimulation (n = 10, ROR 114.42, PRR 114.27, IC 3.33, EBGM 108.83), and Freezing phenomenon (n = 60, ROR 97.52, PRR 96.76, IC 5.21, EBGM 92.83). This study provides new risk signals and important insights into the use of istradefylline, but further research and validation are needed, especially for those AE that may occur in actual usage scenarios but are not yet explicitly described in the instructions.

Signal mining and risk analysis of Alprazolam adverse events based on the FAERS database

This study aims to evaluate the safety of Alprazolam by analyzing the FAERS database, provide data analysis for monitoring adverse drug reactions. This research encompasses adverse event (AE) reports related to Alprazolam from the first quarter of 2004 to the second quarter of 2023. Four signal mining and analysis methods were utilized, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayesian Geometric Mean (EBGM). Further exploration was conducted regarding patient characteristics and types of AEs. A total of 23,575 AE reports in which Alprazolam was the primary suspect drug were collected, identifying 347 Preferred Term (PT) signals and 27 System Organ Classes (SOCs). The number of AE reports increased annually, especially in 2015, 2018, 2019, and 2020. The main affected groups were females and the age range of 18 to 45. Psychiatric disorders, Nervous system disorders, and Gastrointestinal disorders were the most common the organ system in which the AEs occurred. There is a certain risk of drug abuse and suicide with Alprazolam. Most notably, several AEs not recorded in the Alprazolam leaflet appeared among the top 30 PTs in signal strength, including but not limited to Benzodiazepine drug level abnormal, Acquired amegakaryocytic thrombocytopenia, Cutaneous T-cell dyscrasia, and Coronary No-reflow Phenomenon. For the first time, AEs related to the cardiovascular system and platelet function were unveiled. The severe AE reports that resulted in "hospitalization" and "death" accounted for 30.96% and 21.86%. This study highlights the risks of suicide and misuse of Alprazolam. Other potential severe or fatal AEs, such as those related to the cardiovascular system, platelet function, and others, require further research to determine their precise mechanisms and risk factors.

Impact of the vaccination against SARS-CoV-2 campaign on disproportionality indicator from the WHO pharmacovigilance database: A competition bias study from case/non-case analysis

INTRODUCTION

The coronavirus disease 2019 (COVID-19) vaccination campaign has resulted in numerous pharmacovigilance's safety reports which were recorded in the World Health Organization (WHO) pharmacovigilance database (VigiBase) and represent in July 2022 more than 10% of cases recorded. The information component (IC) is a statistical disproportionality measure based on the observed and expected numbers of case reports. A positive value of the lower endpoint of a 95% credibility interval for the information component (IC0.25) suggests a possible causal relationship between the drug and the adverse reaction. This study aimed to evaluate the impact of the wave of COVID-19 vaccines safety declarations on IC0.25 from Vigilyze and thus illustrate with a concrete example the competition bias.

METHODS

We arbitrarily selected 21 adverse drug reactions using Medical Dictionary for Regulatory Activities (MedDRA) preferred terms (PTs), divided in two types: PTs known to be related to COVID-19 vaccines ("expected") and others (type "unexpected"). Data were extracted from VigiLyze. We created two groups: V+ (the full database, including COVID-19 vaccines reports) and V- (the same extraction without COVID-19 vaccine reports). IC0.25 was recomputed for the group V- and we compared the positive signal evolution in the two settings of selection (V+ and V- groups).

RESULTS

The number of positive potential signals was significantly different in the groups V+ and V- for IC0.25. We observed that most of the "unexpected" PTs lost potential signal after the withdrawal of COVID-19 reports. On the contrary, the majority of 'expected' PTs had potential new signals after the withdrawal of COVID-19 reports.

DISCUSSION

This study is one of the first to evaluate the effect of COVID-19 vaccines reporting on Automated Signal Detection of Pharmacovigilance. In this study, we observed that a wave of pharmacovigilance reporting can affect disproportionality estimators such as IC0.25 and then have an impact on automated signal detection; some signals disappear (almost with all PTs related to COVID-19 vaccines) and others appear (mostly with PTs not related to COVID-19 vaccines), illustrating the competition bias.

CONCLUSION

We show that a health crisis involving a change in drug use can affect adverse drug reactions reporting and pharmacovigilance databases, leading to competition bias and a change in the disproportionality analyses. For health professionals who use quantitative disproportionality analysis, it is important not only to use the crude values of indicators but also the kind of PTs and the evolution of the signal over time (take into account major events such as crises).

How young radiologists use contrast media and manage adverse reactions: an international survey

OBJECTIVES

To collect real-world data about the knowledge and self-perception of young radiologists concerning the use of contrast media (CM) and the management of adverse drug reactions (ADR).

METHODS

A survey (29 questions) was distributed to residents and board-certified radiologists younger than 40 years to investigate the current international situation in young radiology community regarding CM and ADRs. Descriptive statistics analysis was performed.

RESULTS

Out of 454 respondents from 48 countries (mean age: 31.7 ± 4 years, range 25-39), 271 (59.7%) were radiology residents and 183 (40.3%) were board-certified radiologists. The majority (349, 76.5%) felt they were adequately informed regarding the use of CM. However, only 141 (31.1%) received specific training on the use of CM and 82 (18.1%) about management ADR during their residency. Although 266 (58.6%) knew safety protocols for handling ADR, 69.6% (316) lacked confidence in their ability to manage CM-induced ADRs and 95.8% (435) expressed a desire to enhance their understanding of CM use and handling of CM-induced ADRs. Nearly 300 respondents (297; 65.4%) were aware of the benefits of contrast-enhanced ultrasound, but 249 (54.8%) of participants did not perform it. The preferred CM injection strategy in CT parenchymal examination and CT angiography examination was based on patient's lean body weight in 318 (70.0%) and 160 (35.2%), a predeterminate fixed amount in 79 (17.4%) and 116 (25.6%), iodine delivery rate in 26 (5.7%) and 122 (26.9%), and scan time in 31 (6.8%) and 56 (12.3%), respectively.

CONCLUSION

Training in CM use and management ADR should be implemented in the training of radiology residents.

CRITICAL RELEVANCE STATEMENT

We highlight the need for improvement in the education of young radiologists regarding contrast media; more attention from residency programs and scientific societies should be focused on training about contrast media use and the management of adverse drug reactions.

KEY POINTS

• This survey investigated training of young radiologists about use of contrast media and management adverse reactions. • Most young radiologists claimed they did not receive dedicated training. • An extreme heterogeneity of responses was observed about contrast media indications/contraindications and injection strategy.

Amlodipine-induced buccal lichenoid lesions: A case report

Buccal lichenoid lesions (BLLs) are characterised by a unique, linear whitish striation in the buccal region and can be accompanied by ulcers, plaques, erythemas, atrophies and blisters. They are distinguished from oral lichen planus (OLP) by the association of the administration of a drug or contact with a metal. Herein, we present the case of a 42-year-old woman with underlying hypertension with amlodipine-induced BLLs. She complained of a 1-month history of right buccal whitish streaks and oral ulcers 2 months after taking amlodipine. She visited a private otorhinolaryngology clinic, and a biopsy for the right buccal ulcer was conducted. The biopsy result showed features suggestive of OLP. The patient was then diagnosed with OLP. Her symptoms were persistent despite treatment, so a dental referral was made. Amlodipine was suspected as the cause of her condition and was therefore stopped. Her condition gradually resolved after amlodipine withdrawal. Hence, primary care physicians should be aware of BLLs as one of the adverse drug reactions of amlodipine so that prompt management can be taken to avoid further debilitating impacts on patients.

Association Between First-Time Neurologic Events and Metronidazole Treatment: A Case-Time Control Study

PURPOSE

Metronidazole, a widely used antimicrobial medication, has been linked to neurologic adverse drug reactions. This study investigates the association between metronidazole use and first-time neurologic events.

METHODS

We conducted a case-time-control study using data from the Danish National Patient Register and the National Prescription Register in years 2013 to 2021. Patients with a first-time diagnosis of encephalopathy, cerebellar dysfunction, or peripheral neuropathy were included. Conditional logistic regression analyses were performed to estimate the risk of neurologic events associated with metronidazole use.

FINDINGS

Out of 476,066 first-time metronidazole prescriptions, the 100-day cumulative incidence of peripheral neuropathy was 0.016%, and 0.002% for cerebellar dysfunction or encephalopathy. In the case-time control study, we identified 17,667 persons with a first-time neurologic event and were included for the analysis. The estimated odds ratio for the combined neurologic events was 0.98 (95% CI, 0.59-1.64, P = 0.95) with no statistically significant association across different subgroups and time windows.

IMPLICATIONS

Our findings suggest that metronidazole-induced neurologic events may be rarer than previously described, and we did not find any consistent or statistically significant association between metronidazole exposure. Nonetheless, clinicians should remain vigilant to potential neurologic risks in patients receiving metronidazole, to ensure its safe and effective use.

Prevalence of urgent hospitalizations caused by adverse drug reactions: a cross-sectional study

Adverse drug reactions account for a substantial portion of emergency hospital admissions. However, in the last decade, few studies have been conducted to determine the prevalence of hospitalization due to adverse drug reactions. Therefore, this cross-sectional study was conducted to determine the proportion of adverse drug reactions leading to emergency hospital admission and to evaluate the risk factors for these reactions. A total of 5707 consecutive patients aged > 18 years who were emergently hospitalized due to acute medical illnesses between June 2018 and May 2021 were included. Causality assessment for adverse drug reactions was performed by using the World Health Organization-Uppsala Monitoring Centre criteria. The median patient age was 78 years (IQR 63-87), and the proportion of women was 47.9%. Among all the hospitalizations, 287 (5.0%; 95% confidence interval (CI) 4.5-5.6%) were caused by 368 adverse drug reactions. The risk factors independently associated with hospitalization due to adverse drug reactions were polypharmacy (OR 2.66), age ≥ 65 years (OR 2.00), and ambulance use (OR 1.41). Given that the population is rapidly aging worldwide, further efforts are needed to minimize hospitalizations caused by adverse drug reactions.

Edema related to treatment with psychotropic drugs

Edema as an adverse drug reaction is a commonly underestimated yet potentially debilitating condition. This study analyzes the incidence of severe psychotropic drug-induced edema (e.g., edema affecting the face, legs, or multiple body parts and lasting for more than 1 week, or in any case necessitating subsequent diuretic use) among psychiatric inpatients. The cases under examination are derived from an observational pharmacovigilance program conducted in German-speaking countries ("Arzneimittelsicherheit in der Psychiatrie", AMSP) from 1993 to 2016. Among the 462,661 inpatients monitored, severe edema was reported in 231 cases, resulting in an incidence of 0.05%. Edema occurred more frequently in women (80% of all cases) and older patients (mean age 51.8 years). Pregabalin had the highest incidence of severe edema, affecting 1.46‰ of patients treated with pregabalin, followed by mirtazapine (0.8‰). The majority of edema cases showed a positive response to appropriate countermeasures, such as dose reduction and drug discontinuation, and resolved by the end of the observation period. While most instances of drug-induced edema are reversible, they can have a significant impact on patient well-being and potentially result in decreased treatment adherence. It is, therefore, crucial to remain vigilant regarding risk-increasing circumstances during treatment with psychotropic drugs.

[Analysis of notifications of drug-induced skin ulcers in Spain]

Skin ulcers are a serious health problem with significant socioeconomic and labour repercussions and a high tendency to chronicity and recurrence; approximately, up to 50% remain active between six months to one year.

AIM

To study the role of drugs in the aetiology of skin ulcers.

MATERIAL AND METHOD

A comprehensive study of all spontaneous reports related to skin ulcers that appear in the Spanish Pharmacovigilance System of Medicines for Human Use database.

RESULTS

A total of 292 reports were identified containing suspected adverse drug reactions (ADRs) of ulcer lesion type. Three hundred sixty-nine medications with 427 active ingredients were identified. The ulcers appeared mainly in women with a mean age of 56.6 years. The most frequently reported suspected drugs were SGLT-2, vaccines against COVID-19, methotrexate, hydroxycarbamide, trimethoprim-sulfamethoxazole, foscarnet trisodium hexahydrate, ribavirin, docetaxel, acenocumarol and imiquimod, and the combination of lidocaine Hcl-pentosan polysulfate sodium-triamcinolone acetonide.

DISCUSSION

Numerous medications may cause ulcers as an adverse reaction. This possibility should not be ruled out when a new skin lesion appears after the administration of new drugs since 25% of the ADRs were unknown at the time of their notification, as were the cases of ulcers associated with i-SGLT2 and vaccines against COVID at the beginning of their commercialization. However, informative health alerts can be generated by continuously notifying suspected ADRs, so we strongly advise reporting any suspected ADRs to the regional pharmacovigilance system.

Drug-induced hyperglycemia and diabetes

BACKGROUND

Drug-induced hyperglycemia and diabetes have negative and potentially serious health consequences but can often be unnoticed.

METHODS

We reviewed the literature searching Medline database for articles addressing drug-induced hyperglycemia and diabetes up to January 31, 2023. We also selected drugs that could induce hyperglycemia or diabetes according official data from drug information databases Thériaque and Micromedex. For each selected drug or pharmacotherapeutic class, the mechanisms of action potentially involved were investigated. For drugs considered to be at risk of hyperglycemia or diabetes, disproportionality analyses were performed using data from the international pharmacovigilance database VigiBase. In order to detect new pharmacovigilance signals, additional disproportionality analyses were carried out for drug classes with more than 100 cases reported in VigiBase, but not found in the literature or official documents.

RESULTS

The main drug classes found to cause hyperglycemia are glucocorticoids, HMG-coA reductase inhibitors, thiazide diuretics, beta-blockers, antipsychotics, fluoroquinolones, antiretrovirals, antineoplastic agents and immunosuppressants. The main mechanisms involved are alterations in insulin secretion and sensitivity, direct cytotoxic effects on pancreatic cells and increases in glucose production. Pharmacovigilance signal were found for a majority of drugs or pharmacological classes identified as being at risk of diabetes or hyperglycemia. We identified new pharmacovigilance signals with drugs not known to be at risk according to the literature or official data: phosphodiesterase type 5 inhibitors, endothelin receptor antagonists, sodium oxybate, biphosphonates including alendronic acid, digoxin, sartans, linosipril, diltiazem, verapamil, and darbepoetin alpha. Further studies will be needed to confirm these signals.

CONCLUSIONS

The risks of induced hyperglycemia vary from one drug to another, and the underlying mechanisms are multiple and potentially complex. Clinicians need to be vigilant when using at-risk drugs in order to detect and manage these adverse drug reactions. However, it is to emphasize that the benefits of appropriately prescribed treatments most often outweigh their metabolic risks.

Predicting the Addition of Information Regarding Clinically Significant Adverse Drug Reactions to Japanese Drug Package Inserts Using a Machine-Learning Model

PURPOSE

To develop a machine learning (ML)-based model for predicting the addition of clinically significant adverse reaction (CSAR)-associated information to drug package inserts (PIs) based on information of adverse drug reaction (ADR) cases during the post-marketing stage in Japan.

METHODS

We collected data on CSARs added to PIs from August 2011 to March 2020. ADR cases that led to CSARs resulting in PI revisions were considered as a positive case, and ML was used to construct a binary classification model to predict the PI revisions. We selected 34 features based on the ADR aggregate data collected 6 months before PI revisions. Prediction performance was evaluated using the Matthews correlation coefficient (MCC).

RESULTS

We found CSAR information added to PIs in 617 cases, 334 of which were due to the accumulation of domestic cases, and used only domestic case data for the prediction model. Among prediction models developed using several kinds of algorithms, the support vector machine with the radial basis function kernel with feature selection showed the highest predictive performance, having an MCC of 0.938 for the cross-validation and 0.922 for the test dataset. The feature with the highest importance in the model was the "average number of patients reported per quarter."

CONCLUSION

Our model accurately predicted PI revisions using information on ADR cases that occurred 6 months before. This is the first ML model that can predict the necessary safety measures and is an efficient method for guiding the decision to adopt additional safety measures early.

Incidence of Severe Adverse Drug Reactions to Ultrasound Enhancement Agents in a Contemporary Echocardiography Practice

OBJECTIVES

Prior data indicate a very rare risk of serious adverse drug reaction (ADR) to ultrasound enhancement agents (UEAs). We sought to evaluate the frequency of ADR to UEA administration in contemporary practice.

METHODS

We retrospectively reviewed 4 US health systems to characterize the frequency and severity of ADR to UEA. Adverse drug reactions were considered severe when cardiopulmonary involvement was present and critical when there was loss of consciousness, loss of pulse, or ST-segment elevation. Rates of isolated back pain and headache were derived from the Mayo Clinic Rochester stress echocardiography database where systematic prospective reporting of ADR was performed.

RESULTS

Among 26,539 Definity and 11,579 Lumason administrations in the Mayo Clinic Rochester stress echocardiography database, isolated back pain or headache was more frequent with Definity (0.49% vs 0.04%, P < .0001) but less common with Definity infusion versus bolus (0.08% vs 0.53%, P = .007). Among all sites there were 201,834 Definity and 84,943 Lumason administrations. Severe and critical ADR were more frequent with Lumason than with Definity (0.0848% vs 0.0114% and 0.0330% vs 0.0010%, respectively; P < .001 for each). Among the 3 health systems with >2,000 Lumason administrations, the frequency of severe ADR with Lumason ranged from 0.0755% to 0.1093% and the frequency of critical ADR ranged from 0.0293% to 0.0525%. Severe ADR rates with Definity were stable over time but increased in more recent years with Lumason (P = .02). Patients with an ADR to Lumason since the beginning of 2021 were more likely to have received a COVID-19 vaccination compared with matched controls (88% vs 75%; P = .05) and more likely to have received Moderna than Pfizer-Biotech (71% vs 26%, P < .001).

CONCLUSION

Severe and critical ADR, while rare, were more frequent with Lumason, and the frequency has increased in more recent years. Additional work is needed to better understand factors, including associations with recently developed mRNA vaccines, which may be contributing to the increased rates of ADR to UEA since 2021.

Drug-induced tumoral disease: A global pharmacovigilance database analysis

INTRODUCTION

Cancer remains a worldwide threat, having caused almost 10 million deaths in 2020. The American Cancer Society has identified both known and probable carcinogens, including commonly used drugs. The aim of this study is to describe the drugs most frequently reported in the occurrence of cancer.

METHODS

Among all individual case safety reports (ICSRs) in the global pharmacovigilance database VigiBase, we searched for the 50 most reported drugs with an adverse drug reaction term belonging to the query "Malignant or unspecified tumors" until June 30, 2023. Then, we extracted the disproportionality measurement data, information component (IC), and reporting odds ratio (ROR) in order to assess a disproportionality signal.

RESULTS

Among all ICSRs in VigiBase, 871,925 contained an ADR belonging to the SMQ "Malignant or unspecified tumors". Ranitidine was the drug with the most reported ADRs related to cancer (n=106,484), followed by lenalidomide (n=13,466), and etanercept (n=8014). The drugs with the highest IC were ranitidine (IC=5.2, 95% confidence interval [95% CI]=5.2-5.2), pioglitazone (1353 ICSRs, IC=4.2, 95% CI=4.2-4.2), and regorafenib (1272 ICSRs, IC=2.8, 95% CI=2.8-2.8).

DISCUSSION

Our results show that the main pharmacological mechanisms are associated with ranitidine (link with levels of N-nitrosodimethylamine in ranitidine-based drugs), gene-activating drugs (pioglitazone: link with agonist effects on PPAR-γ gene activation), various pharmacological families with immunosuppressive effects (protein kinase inhibitors, immunomodulators, azathioprine, etc.), certain types of protein kinase inhibitors whose oncogenic mechanisms remain unclear (regorafenib, sorafenib, imatinib, ibrutinib, etc.), and hormone antagonists (tamoxifen, letrozole). Special monitoring of patients exposed to these drugs may be required. Further studies are needed to assess the risk with certain drugs in this ranking.

Emerging drugs for the treatment of irritability associated with autism spectrum disorder

INTRODUCTION

Autism spectrum disorder (ASD) is an early-onset disorder with a prevalence of 1% among children and reported disability-adjusted life years of 4.31 million. Irritability is a challenging behavior associated with ASD, for which medication development has lagged. More specifically, pharmacotherapy effectiveness may be limited against high adverse effects (considering side effect profiles and patient medication sensitivity); thus, the possible benefits of pharmacological interventions must be balanced against potential adverse events in each patient.

AREAS COVERED

After reviewing the neuropathophysiology of ASD-associated irritability, the benefits and tolerability of emerging medications in its treatment based on randomized controlled trials were detailed in light of mechanisms and targets of action.

EXPERT OPINION

Succeeding risperidone and aripiprazole, monotherapy with memantine may be beneficial. In addition, N-acetylcysteine, galantamine, sulforaphane, celecoxib, palmitoylethanolamide, pentoxifylline, simvastatin, minocycline, amantadine, pregnenolone, prednisolone, riluzole, propentofylline, pioglitazone, and topiramate, all adjunct to risperidone, and clonidine and methylphenidate outperformed placebo. These effects were through glutamatergic, γ-aminobutyric acidergic, inflammatory, oxidative, cholinergic, dopaminergic, and serotonergic systems. All medications were reported to be safe and tolerable. Considering sample size, follow-up, and effect size, further studies are necessary. Along with drug development, repositioning and combining existing drugs supported by the mechanism of action is recommended.

Drug-induced hearing loss: Listening to the latest advances

Sensorineural hearing loss (SNHL) is the most common type of hearing loss. Causes include degenerative changes in the sensory hair cells, their synapses and/or the cochlear nerve. As human inner ear hair cells have no capacity for regeneration, their destruction is irreversible and leads to permanent hearing loss. SNHL can be genetically inherited or acquired through ageing, exposure to noise or ototoxic drugs. Ototoxicity generally refers to damage to the structures and functions of the inner ear following exposure to specific drugs. Ototoxicity can be multifactorial, causing damage to cochlear hair cells or cells with homeostatic functions that modulate cochlear hair cell function. Clinical strategies to limit ototoxicity include identifying patients at risk, monitoring drug concentrations, performing serial hearing assessments and switching to less ototoxic therapy. This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, using the PubMed® database. The search terms "ototoxicity", "hearing loss" and "drugs" were combined. We included studies published between September 2013 and June 2023, and focused on medicines and drugs used in hospitals. The review highlighted a number of articles reporting the main drug classes potentially involved: namely, immunosuppressants, antimalarials, vaccines, antibiotics, antineoplastic agents, diuretics, nonsteroidal anti-inflammatory drugs and analgesics. The presumed ototoxic mechanisms were described, together with the therapeutic and preventive options developed over the last ten years.

Medication-overuse headache: A pharmacovigilance study in France

BACKGROUND

Overusing medication for primary headaches or other medical conditions can lead to dependency and medication-overuse headache (MOH) as an adverse drug reaction (ADR).

OBJECTIVES

To analyse reports of ADRs associated with MOH recorded in the French national pharmacovigilance database (FPVD).

METHODS

This retrospective study selected all MOH cases reported in the FPVD from January 2000 to June 2023. A search of the High-Level Group Term "headache" was performed for drugs classified under ATC codes for the musculoskeletal and nervous systems. Specific keywords were searched in report narratives to further reduce their number. Voluntary intoxication reports were excluded. Only MOH cases according to the International Classification of Headache Disorders or with a medical diagnosis of MOH were considered.

RESULTS

Among the 2674 reports associated with the HLGT "headache", for 649 ATC drug codes, only 234 reports correspond to MOH, primarily notified by physicians. The median age was 45 years (IQR: 32-56), with 74.4% females and approximately 61.0% having pre-existing primary headaches. In all, 53.4% of the reports were classified as serious. Among patients, 84.2% had an isolated "headache" as the ADR. One drug was suspected in 47.4% of cases, two drugs in 29.1%, and three or more in 23.5%. In total, 473 suspected drugs, corresponding to 104 active ingredients, were involved, including analgesics (63.0%), in particular, acetaminophen-containing drugs, opioids, triptans and ergots, and non-steroidal anti-inflammatory drugs (12.7%). Antiepileptics and psycholeptics were found in 6.6% and 6.1% of cases, respectively. Drug withdrawal was successful in 84.6% of drug-discontinuation cases. Warnings about MOH are mentioned in the summary of product characteristics (SmPCs) for triptans, ergots, and certain acetaminophen-containing drugs, but not other drug classes.

CONCLUSIONS

Certain drug classes show a high reporting rate of MOH and caution should be exercised when prescribing these drugs. Notably, warnings about MOH must be mentioned in the SmPC of all concerned drug classes.

Mining and analysis of adverse event signals of Cariprazine based on the real-world data of FAERS database

OBJECTIVE

This study aims to analyze the adverse events (AEs) of Cariprazine based on the FAERS database, providing evidence for its safety surveillance.

METHODS

For signal quantification of Cariprazine-related AEs, we used disproportionality analysis including the Ratio of Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS) algorithms.

RESULTS

We selected Cariprazine-related AE reports from the FAERS database from the fourth quarter of 2015 to the first quarter of 2023, and performed a detailed data analysis. Out of a total of 12,278,580 case reports, 3659 were found to be directly related to Cariprazine. We identified 140 Preferred Terms (PT) to describe these AEs, finding that they involved 27 organ systems. Specifically, AEs related to eye disorders such as Cataract cortical, Cataract nuclear, Accommodation disorder, Lenticular opacities, Oculogyric crisis, Dyschromatopsia were not explicitly mentioned in the drug's leaflet, indicating the presence of new ADR signals.

CONCLUSION

Analysis of the FAERS database identified AEs associated with Cariprazine, notably in eye disorders not previously documented in the drug's official leaflet. These findings emphasize the need for continuous post-market surveillance and awareness among healthcare professionals regarding potential new ADR signals.

Serotonin syndrome: A pharmacovigilance comparative study of drugs affecting serotonin levels

BACKGROUND

Serotonin syndrome is a rare and potentially fatal adverse drug reaction caused by serotonergic drugs and is due to an increase in serotonin concentration or activation of the 5-HT receptor in the central nervous system. We analysed adverse events in the US Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS) data set to investigate the main drug classes related to reports of serotonin syndrome and the reporting risk in relation to age and sex.

METHODS

We analysed data from the FAERS database to evaluate the main drug classes related to reports of the serotonin syndrome, and the reporting risk in relation to age and sex.

RESULTS

We found 8,997 cases of serotonin syndrome; selective serotonin reuptake inhibitors (SSRIs) was the class of drugs with most reports, followed by opioids and other antidepressants. The highest Reporting Odds Ratios (ROR) for drug classes was for monoamine oxidase (MAO) inhibitors (45.99, 95% confidence interval (CI): 41.21-51.33) and SSRIs (32.66, 95% CI: 31.33-34.04), while the ten active substances with the highest ROR were moclobemide, isocarboxazid, oxitriptane, tranylcypromine, melitracen, phenelzine, linezolid, amoxapine, reboxetine and tryptophan; with values of ROR ranging from 44.19 (95% CI: 25.38-76.94) of tryptophan to 388.36 (95% CI: 314.58-479.46) of moclobemide. The ROR for the most commonly involved drugs was higher in the group of older adults (65 > years old), and higher in males.

CONCLUSION

Prescribers need to be vigilant about drugs that can raise serotonin concentration or influence serotonergic neurotransmission, also when using drugs with less well-known risk for serotonin syndrome, like linezolid and triptans.

Assessment of Knowledge, Attitude, and Practice of Pharmacovigilance and Materiovigilance among Oral Health Practitioners in India

Aim

This electronic survey was carried out to assess the knowledge, attitude, and practices among the oral health practitioners.

Methods

A questionnaire survey was conducted among undergraduates, graduated practitioners, and specialist practitioners. A Google Form that included a specified instruction format, informed consent with a clear description of the purpose of the study, and questions in different categories were sent through Whatsapp and email. Descriptive statistics were used to analyze responses. The association of knowledge and attitude with respect to oral health professionals was analyzed with the Chi-square test.

Results

The questionnaire was completed by 570 participants. Thirty percent of participants encountered ADR related to the drugs available in the market and 33.2% of participants encountered adverse reaction related to materials used in practice. ADR should be reported as soon as it is detected, according to this study about 12.1% of participants reported the ADRs, and this reporting is primarily for patient safety. Almost 66.8% of participants perceived that dental products can cause ADR owing to a lack of information about ADR and reporting procedures, or due to fear of legal concerns. Only about 9.5% of the participants had previously attended an ADR workshop.

Conclusion

Oral health practitioners have a general understanding of ADR; however, there is substantial evidence of underreporting and a lack of reporting system information. Organizing an orientation program and raising awareness about ADR reporting could help improve spontaneous reporting and better patient care.

Hoigné's syndrome, an uncommon mimicker of anaphylaxis: Systematic literature review

The term Hoigné's syndrome denotes a mimicker of anaphylaxis, which occurs immediately after the parenteral administration of a drug and is likely caused by non-thrombotic pulmonary and systemic drug micro-embolization. It has so far been documented uniquely in case reports and small case series. Because this condition has never been systematically evaluated, we performed a structured literature review (pre-registered as CRD42023392962). The search was carried out in Excerpta Medica, National Library of Medicine, and Google Scholar. Cases with features consistent with anaphylaxis, urticaria, angioedema, asthma, syncope, anxiety, or panic attack triggered by needle phobia, and local anesthetic systemic toxicity were excluded. For the final analysis, we retained reports published between 1951 and 2021, which presented 247 patients with Hoigné's syndrome: 37 children and 211 adults with a male: female ratio of 2.1 : 1.0. The patients presented within 1 min after parenteral administration of a drug (intramuscular penicillin in 90 % of the cases) with chest discomfort, shortness of breath, fear of death, psychomotor agitation, and auditory or visual hallucinations and impairment. Recovery occurred within 30 min. The diagnosis of Hoigné's syndrome was also established in five patients 66-91 years of age with pre-existing cardiovascular or pulmonary diseases, who suddenly died after the administration of penicillin despite not exhibiting the aforementioned symptoms. It was therefore speculated that pulmonary drug micro-embolization induced a lethal cardiovascular compromise in these individuals. Histologic investigations supporting this hypothesis were performed in only one case. The diagnosis of Hoigné's pulmonary drug micro-embolization was established also in five patients with pre-existing cardiovascular or pulmonary diseases, who suddenly died after the administration of penicillin despite not exhibiting the afore mentioned symptoms. Histologic investigations supporting this hypothesis were performed in only one case. In conclusion, Hoigné's syndrome is an uncommon non-immune-mediated reaction. This report seeks to promote broader awareness and knowledge regarding this alarming mimicker of anaphylaxis. Diagnosis relies solely on clinical evaluation.

Safety assessment of Brexpiprazole: Real-world adverse event analysis from the FAERS database

OBJECTIVE

This study aims to analysis adverse drug events (ADE) related to Brexpiprazole from the third quarter of 2015 to the first quarter of 2023 from FAERS database.

METHODS

The ADE data related to Brexpiprazole from 2015 Q3 to 2023 Q1 were collected. After standardizing the data, a variety of signal quantification techniques, including ROR, PRR, BCPNN, and MGPS were used for analysis.

RESULTS

Among the 8559 ADE reports with Brexpiprazole as the primary suspected drug, 178 preferred terms (PT) of adverse reactions spanning 27 different system organ classes (SOC) were identified. Specifically, Metabolism and nutrition disorders and Reproductive system and breast disorders were unique adverse reactions to Brexpiprazole, with the latter not mentioned in the official drug label. Moreover, uncommon but significantly strong ADE signals, such as Egocentrism, Pharmacophobia, and Compulsions were observed. Notably, Tardive dyskinesia (n = 317, ROR 103.87, PRR 102.21, IC 6.21, EBGM 96.17) and Extrapyramidal disorder (n = 104, ROR 31.17, PRR 31.00, IC 4.57, EBGM 30.44) exhibited relatively high occurrence rates and signal strengths. Additionally, Lactation disorder (n = 6, ROR 48.09, PRR 48.07, IC 2.63, EBGM 46.71) and Breast discharge (n = 10, ROR 23.18, PRR 23.17, IC 2.94, EBGM 22.86) were observed, both presenting strong ADE signals.

CONCLUSION

Brexpiprazole poses risks of various adverse reactions while providing therapeutic effects. In clinical applications, practitioners should closely monitor occurrences of Psychiatric disorders, Metabolism and nutrition disorders, Reproductive system and breast disorders, and other events.

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.

Intravenous iron versus blood transfusion for postpartum anemia: a systematic review and meta-analysis

BACKGROUND

Intravenous iron (IV-iron) is used as an alternative to, or alongside, red blood cell transfusion (RBC-T) to treat more severe postpartum anemia (PPA), although optimal treatment options remain unclear. No previous systematic reviews have examined IV-iron and RBC-T, including patient-reported outcomes and hematological responses.

METHODS

A systematic review and meta-analysis of randomized trials comparing IV-iron and RBC-T with each other, oral iron, no treatment, and placebo for the treatment of PPA. Key inclusion criteria were PPA (hemoglobin < 12 g/dL) and IV-iron or RBC-T as interventions. Key exclusion criteria were antenatal IV-iron or RBC-T. Fatigue was the primary outcome. Secondary outcomes included hemoglobin and ferritin concentrations, and adverse events. From 27th August 2020 to 26th September 2022, databases, registries, and hand searches identified studies. A fixed-effect meta-analysis was undertaken using RevMan (5.4) software. The quality of the studies and the evidence was assessed using the Cochrane Risk of Bias table, and Grading of Recommendations, Assessment, Development, and Evaluation. This review is registered with the Prospective Register of Systematic Reviews (CRD42020201115).

RESULTS

Twenty studies and 4196 participants were included: 1834 assigned IV-iron, 1771 assigned oral iron, 330 assigned RBC-T, and 261 assigned non-intervention. Six studies reported the primary outcome of fatigue (1251 participants). Only studies of IV-iron vs. oral iron (15 studies) were available for meta-analysis. Of these, three reported on fatigue using different scales; two were available for meta-analysis. There was a significant reduction in fatigue with IV-iron compared to oral iron (standardized mean difference - 0.40, 95% confidence interval (CI) - 0.62, - 0.18, I2 = 0%). The direction of effect also favored IV-iron for hemoglobin (mean difference (MD) 0.54 g/dL, 95% confidence interval (CI) 0.47, 0.61, I2 = 91%), ferritin, (MD 58.07 mcg/L, 95% CI 55.74, 60.41, I2 = 99%), and total adverse events (risk-ratio 0.63, 95% CI 0.52, 0.77, I2 = 84%). The overall quality of the evidence was low-moderate.

DISCUSSION

For all outcomes, the evidence for RBC-T, compared to IV-iron, non-intervention, or dose effects of RBC-T is very limited. Further research is needed to determine whether RBC-T or IV-iron for the treatment of PPA is superior for fatigue and hematological outcomes.

Predictors and associated factors with adverse drug reaction in people with epilepsy

OBJECTIVES

There is a need for early identification and intervention of Adverse Drug Reaction (ADR) to alleviate the unacceptably growing burden, morbidity, and mortality associated with People With Epilepsy (PWE). This study is aimed at identifying associated factors and predictors of ADR among PWE.

METHODS

It is an interviewer-administered questionnaire-based study consisting of 940 consenting participants aged 16 years and above attending epilepsy clinics for 5 years with diagnosis confirmed by International League against Epilepsy (ILAE) criteria and supported by Electroencephalography (EEG). Twenty-one-item Liverpool Adverse Effect Profile (LAEP) and 8-item Morinsky Medication Adherence Scale (MMAS) were used to assess ADR and adherence respectively.

RESULTS

The highest reported ADR in PWE were nervousness (34.3%), aggression (33.6%), and weight gain (32.3%). Specifically, 20.1% of the participants complained of memory problems. On the other hand, ADR associated with skin, mouth/gum and hair loss was 9.3%, 8.9%, and 7.2% respectively, and these were the lowest reported ADRs. Using the MMAS, 545(90.2%), 28(4.6%), and 31(5.1%) of PWE in this study were classified as having high, medium, and low adherence, respectively. Duration of Anti-Seizure Medication (ASM) use and duration of epilepsy were the major determinants of ADR in PWE on the regression model.

CONCLUSION

Duration of ASM use and duration of epilepsy are the major determinants of ADR in PWE. Effective strategies to identify and reduce ADR should be incorporated into the management of PWE by Health Care Providers (HCPs) to improve their quality of life.

A Case Report of Cefixime, Paracetamol, and Nimesulide Induced Toxic Epidermal Necrolysis in a Woman with Dengue Infection without any Other Associated Comorbidities

BACKGROUND

Toxic Epidermal Necrolysis (TEN) is a rare, acute, and life-threatening mucocutaneous disease that occurs after the administration of certain drugs, resulting in extensive keratinocyte cell death, skin involvement at the dermal-epidermal junction, and extensive bullous skin eruptions and sloughing. Many published case reports have observed the presence of fever with a viral infection, drug, and/or genetic association as a possible trigger for TEN but associated with other comorbidities. Physicians still struggle to predict which individuals could be predisposed to TEN. The case report that we present had a history of multiple drug intake and fever due to dengue virus infection but was not associated with any other comorbidity.

CASE PRESENTATION

We present an unusual case of a 32-year-old woman of Western Indian origin who had developed dengue infection and suffered toxic epidermal necrolysis following a five-day course of a third-generation cephalosporin antibiotic, cefixime and a three-day course of 2 analgesic drugs, paracetamol (acetaminophen), and nimesulide, with the adverse event occurring on the fifth day of the dengue infection. The offending drugs were stopped, and patient survived with supportive management and hydration.

CONCLUSION

The presence of comorbidities may not always be the triggering factor for TEN, though it can affect patient outcomes. Rational drug use is always recommended for patient care. Further research is required to understand the pathomechanism behind the viral-drug-gene interaction.

The expanding role of HLA gene tests for predicting drug side effects

Adverse drug reactions can be either dose-dependent (Type A) or idiosyncratic (Type B). Type B adverse drug reactions tend to be extremely rare and difficult to predict. They are usually immune-mediated. Examples include severe skin reactions and drug-induced liver injury. For many commonly prescribed drugs (such as antibiotics), the risk of developing an idiosyncratic adverse drug reaction is influenced by variability in the human leukocyte antigen (HLA) genes. Because these HLA-mediated adverse drug reactions can be lethal, there is growing interest in defining which specific drug-gene relationships might benefit from pre-emptive HLA genotyping and automated clinical decision support. This review summarizes the literature for HLA-mediated adverse reactions linked to common drugs.

Chemotherapy-induced zosteriform lichen planus following mastectomy: A rare case report

INTRODUCTION

Zosteriform Lichen Planus represents a relatively uncommon variant of LP. It is characterized by a distinctive distribution following Blaschko's line and involving multiple dermatomes, setting it apart as a unique manifestation. There have been several cases of cutaneous LP reported, but relatively few of them presented as zosteriform LP. To our knowledge, this is the first documented case of zosteriform LP as an adverse drug reaction.

PRESENTATION OF CASE

A 62-year-old female presented to the dermatology clinic with asymptomatic hyperpigmented patches that exhibited gradual spreading. The patient had a history of breast cancer and underwent a mastectomy procedure, chemotherapy, adjuvant therapy, and radiation treatment. A dermatological examination revealed the presence of multiple hyperpigmented, ill-defined macules arranged linearly on the left flank and inner thigh.

DISCUSSION

A biopsy confirmed the diagnosis as Lichen Planus. The patient's condition significantly improved following a nine-week topical steroid with dose tapering.

CONCLUSION

Zosteriform LP is a rare adverse skin reaction associated with chemotherapeutic drugs. The immunosuppression induced by chemotherapy may trigger T-cell activation, leading to a lichenoid tissue reaction. A thorough patient history assessment is essential for the management of such adverse reactions.

Acute kidney injury associated with colistin sulfate vs. polymyxin B sulfate therapy: A real-world, retrospective cohort study

OBJECTIVE

To compare the incidence of acute kidney injury (AKI) in patients treated with colistin sulfate (CS) and polymyxin B sulfate (PMB).

METHODS

Sociodemographic and laboratory measures of adult patients who received intravenous CS or PMB for at least 72 h for the first time at the study hospital from October 2021 to November 2022 were collected retrospectively. The primary outcome was the incidence of AKI, defined by the Kidney Diseases Improving Global Outcomes criteria. The secondary outcome was 30-day mortality.

RESULTS

In total, 109 patients were included in the CS cohort and 176 patients were included in the PMB cohort. The incidence of AKI was significantly higher in the PMB cohort compared with the CS cohort (50.6% vs. 18.3%; P<0.001). On multi-variate analysis, CS therapy [hazard ratio (HR) 0.275; P<0.001] was an independent protective factor for AKI, along with higher estimated glomerular filtration rate. Nevertheless, 30-day mortality was similar in the PMB and CS cohorts (21.6% vs. 13.8%; P=0.099). Multi-variate analyses revealed that CS therapy was not associated with 30-day mortality (HR 0.968; P=0.926), while intensive care unit admission, combination with meropenem, Charlson score and stage 3 AKI were independent risk factors for 30-day mortality. After balancing the baseline characteristics of patients using propensity score matching, the main results were unchanged.

CONCLUSION

The incidence of AKI was significantly lower in the CS cohort compared with the PMB cohort. However, 30-day mortality was similar in the two cohorts.

Amoxicillin Induced Fever, Rash, and Catatonia - A Case Study

INTRODUCTION

Adverse drug reactions (ADR) are defined as any harmful or unpleasant events or injuries resulting from the use of any particular drug. Among those antibiotics that cause adverse reactions, amoxicillin is one of them. Catatonia and vasculitic rash are its rare adverse effects.

CASE PRESENTATION

A 23-year-old postpartum female, with a history of taking empirical Amoxiclav (amoxicillin-clavulanic acid 625 mg) injection and oral tablets for episiotomy wound, presented with altered sensorium and fever followed by maculopapular rash. On examination, she had generalized rigidity with waxy flexibility that improved by lorazepam challenge and was diagnosed as catatonia. On evaluation, amoxicillin was found to be precipitating catatonia in this patient.

CONCLUSION

Since the diagnosis of catatonia is often missed, any cases with clinical presentation of fever, rash, altered sensorium, and generalized rigidity should also be suspected for druginduced ADR and the precipitating factor should be searched for.

Epidemiology of adverse drug reactions to antihypertensive, antithrombotic and antidiabetic medications among adult inpatients at a National Referral Hospital, Uganda

INTRODUCTION

Treatment for hypertension, thrombosis and type 2 diabetes mellitus is long term and usually requires a combination of drugs which increases the risk of adverse drug reactions (ADRs). This study aimed to establish the prevalence at admission, incidence during hospitalization and characteristics of ADRs linked to antihypertensive, antithrombotic and antidiabetic drugs among adult inpatients in Uganda.

METHODS

We conducted a secondary analysis of data from a previously assembled prospective cohort study in Uganda's Mulago National Referral Hospital. We reviewed the files of inpatients who received antihypertensive, antithrombotic and/or antidiabetic medications prior to and/or during hospitalization. The modified Schumock and Thornton Preventability Scale, the Division of AIDS Table for Grading the Severity of Adult and Paediatric Adverse Events and the World Health Organization - Uppsala Monitoring Centre seriousness criteria were used to characterize the ADRs.

RESULTS

More than a quarter (27%, 42/155) of the inpatients experienced an ADR at admission or during hospitalization. The point prevalence of ADRs at admission was 8% (13/155) and the incidence of ADRs during hospitalization was 23% (36/155). Forty-one percent (35/86) of the ADRs were serious and the majority (59%, 51/86) were preventable.

CONCLUSION

One in 13 inpatients experienced an ADR on admission and one in four experienced an ADR that developed during hospitalization. Clinicians ought to prescribe medicines with lower ADR risk profile for cardiovascular and/or diabetic patients whenever possible.

A Risk-Based Approach for Safety Case Follow-up of Adverse Event Reports in Pharmacovigilance

This study presents an analysis of follow-up attempts for adverse event (AE) reports, shedding light on the characteristics of a risk-based approach to Individual Case Safety Report (ICSR) follow-up by Marketing Authorization Holders (MAH). The analysis primarily focuses on Spontaneous Reports (SR), reports from Patient Support Programs (PSPs), and literature, utilizing data from safety reports sourced from the European Economic Area (EEA) during the pre-pandemic period. Through descriptive statistics, we examine response rates spanning 1 year and compare various types of cases based on distinct ICSR features, including serious vs non-serious, listed vs unlisted, suspected vs not-suspected, SR vs PSP vs literature, as well as comparisons between different product categories (innovator, biological, generics, and combinations). The objective of this report is to stimulate further dialogue within the industry and regulatory authorities regarding the adoption of a risk-based approach to ICSR follow-up procedures.

Predictive Model of Oxaliplatin-induced Liver Injury Based on Artificial Neural Network and Logistic Regression

Background and Aims

Identifying potential high-risk groups of oxaliplatin-induced liver injury (OILI) is valuable, but tools are lacking. So artificial neural network (ANN) and logistic regression (LR) models will be developed to predict the risk of OILI.

Methods

The medical information of patients treated with oxaliplatin between May and November 2016 at 10 hospitals was collected prospectively. We used the updated Roussel Uclaf causality assessment method (RUCAM) to identify cases of OILI and summarized the patient and medication characteristics. Furthermore, the ANN and LR models for predicting the risk of OILI were developed and evaluated.

Results

The incidence of OILI was 3.65%. The median RUCAM score with interquartile range was 6 (4, 9). The ANN model performed similarly to the LR model in sensitivity, specificity, and accuracy. In discrimination, the area under the curve of the ANN model was larger (0.920>0.833, p=0.019). In calibration, the ANN model was slightly improved. The important predictors of both models overlapped partially, including age, chemotherapy regimens and cycles, single and total dose of OXA, glucocorticoid drugs, and antihistamine drugs.

Conclusions

When the discriminative and calibration ability was given priority, the ANN model outperformed the LR model in predicting the risk of OILI. Other chemotherapy drugs in oxaliplatin-based chemotherapy regimens could have different degrees of impact on OILI. We suspected that OILI may be idiosyncratic, and chemotherapy dose factors may be weakly correlated. Decision making on prophylactic medications needs to be carefully considered, and the actual preventive effect needed to be supported by more evidence.

The correlation of Esketamine with specific adverse events: a deep dive into the FAERS database

Analyzing the vast data from FAERS database to evaluate the association between Esketamine and specific adverse events to guide clinical practice and regulatory decisions. Data related to Esketamine adverse events from 2019 Q1 to 2023 Q1 were collected from FAERS database. After data standardization, various signal quantification technologies, such as ROR, PRR, BCPNN, and MGPS, were employed to identify and evaluate adverse reaction signals closely related to the use of Esketamine comprehensively. A total of 5061 reports with Esketamine as the primary suspected drug were obtained, identifying 117 adverse reaction terms (PT) involving 27 system organ class (SOC) categories. Apart from the adverse events already mentioned in the drug's instructions, this study identified some new, clinically valuable potential AE signals, such as Flashback, Tachyphylaxis, and Autoscopy. In addition, high-ranking results included euphoric mood, feeling of relaxation, and feeling drunk. Notably, the occurrence frequencies of suicidal ideation and suicide attempt were relatively high, so clinicians should be particularly vigilant about these potential adverse reactions when using Esketamine. Moreover, since this drug is administered as a nasal spray, issues such as drug monitoring procedure incorrectly performed and nasal discomfort may arise. This study underscores the potential adverse reactions and risks of Esketamine in clinical applications, especially regarding long-term efficacy, addiction risks, and suicidal risks.

Machine learning models to detect and predict patient safety events using electronic health records: A systematic review

INTRODUCTION

Identifying patient safety events using electronic health records (EHRs) and automated machine learning-based detection methods can help improve the efficiency and quality of healthcare service provision.

OBJECTIVE

This study aimed to systematically review machine learning-based methods and techniques, as well as their results for patient safety event management using EHRs.

METHODS

We reviewed the studies that focused on machine learning techniques, including automatic prediction and detection of patient safety events and medical errors through EHR analysis to manage patient safety events. The data were collected by searching Scopus, PubMed (Medline), Web of Science, EMBASE, and IEEE Xplore databases.

RESULTS

After screening, 41 papers were reviewed. Support vector machine (SVM), random forest, conditional random field (CRF), and bidirectional long short-term memory with conditional random field (BiLSTM-CRF) algorithms were mostly applied to predict, identify, and classify patient safety events using EHRs; however, they had different performances. BiLSTM-CRF was employed in most of the studies to extract and identify concepts, e.g., adverse drug events (ADEs) and adverse drug reactions (ADRs), as well as relationships between drug and severity, drug and ADEs, drug and ADRs. Recurrent neural networks (RNN) and BiLSTM-CRF had the best results in detecting ADEs compared to other patient safety events. Linear classifiers and Naive Bayes (NB) had the highest performance for ADR detection. Logistic regression had the best results in detecting surgical site infections. According to the findings, the quality of articles has non-significantly improved in recent years, but they had low average scores.

CONCLUSIONS

Machine learning can be useful in automatic detection and prediction of patient safety events. However, most of these algorithms have not yet been externally validated or prospectively tested. Therefore, further studies are required to improve the performance of these automated systems.

Risk evaluation of diabetic ketoacidosis associated with antipsychotics among patients with schizophrenia in the Japanese adverse event report database

OBJECTIVE

Diabetic ketoacidosis (DKA) is a serious life-threatening condition and can be associated with antipsychotic medication. Asian patients with diabetes exhibit less insulin resistance than Caucasians; however, all previous studies concerning antipsychotic-related DKA have been conducted in Western populations. We analyzed the rank order of the association of antipsychotic agents for schizophrenia with DKA using the Japanese Adverse Drug Event Report database, a spontaneous reporting system database.

METHODS

We performed a retrospective pharmacovigilance disproportionality analysis using adverse event reports submitted to the Pharmaceuticals and Medical Devices Agency between April 2004 and March 2021. The study population comprised 7435 patients with schizophrenia, and the total number of antipsychotic-related DKA reports was 55.

RESULTS

Among the 55 cases of DKA in patients with schizophrenia, 6% (3/55) patients died after DKA. The signals of DKA were reported after treatment with olanzapine, with a significant adjusted reporting odds ratio (95% CI) of 3.26 (1.87-5.66). In 1399 olanzapine treatment cases, multivariable logistic regression analysis using a forward selection method showed that being male (adjusted RORs 2.72 (1.07-6.90)) was associated with the onset of DKA.

CONCLUSION

Our study revealed that treatment with olanzapine was associated with the development of DKA among patients with schizophrenia. The results also clarified that male patients were at higher risk for DKA among patients treated with olanzapine. The application of these data will aid in risk monitoring and management that may reduce the occurrence of antipsychotic-related DKA in treatment for schizophrenia.

Drug-related problems in hospitalized patients with type 2 diabetes mellitus: A systematic review

Introduction

Type 2 diabetes mellitus (T2DM) is one of the non-communicable diseases which continues to rise in prevalence and mortality rate throughout the years. Drug-related problems (DRPs) are more prevalent among T2DM patients especially those with co-morbidities.

Objective

The objective of this study was to review and assess the prevalence and characteristics of DRPs among hospitalized type 2 diabetes mellitus patients.

Methods

The systematic review of the literature was carried out using five online databases: PubMed, Scopus, Google Scholar, Web of Science, and Cochrane Library from the inception of the database until June 2022. Studies included in the review were published in English or Malay language. The data were extracted and assessed using the Joanna Briggs Institute (JBI) critical appraisal tools.

Results

A total of 939 studies were identified with 20 studies that met inclusion criteria and were included in this systematic review. The overall prevalence of DRPs in all 20 studies ranged from 7% to 94%. The most common DRPs included drug-drug interaction (DDI), adverse drug reaction (ADR), therapeutic effectiveness problems, and inappropriate medication use.

Conclusion

The most common drug classes involved were antidiabetics (metformin), antihypertensives, antiplatelets and antibiotics. The risk factors contributing to DRPs included the presence of comorbidities, the number of medications, and polypharmacy. To conclude, the rate of DRPs incidence in hospitalized T2DM patients was observed to be high. Further future studies with appropriate study designs and methods of detecting DRPs will be necessary to reduce and prevent DRPs occurrences.

Bilateral punctate keratitis and hurricane keratopathy following apremilast therapy

Purpose

To report a unique case of bilateral punctate keratitis consistent with hurricane keratopathy during apremilast therapy.

Observations

A 49-year-old female presented with severe, painful, bilateral, punctate keratitis following five months of apremilast therapy. The past ocular history was noncontributory. The past medical history included psoriasis refractory to topical corticosteroids. The patient subsequently received systemic apremilast therapy and noted improvement in her psoriatic rash. Five months later the patient presented to an outside eye care provider complaining of three weeks of progressive photophobia associated with pain and redness in both eyes. On examination, the patient had decreased visual acuity with diffuse conjunctival injection and punctate epithelial erosions in a whorl-like pattern in both eyes. The remainder of the ophthalmic exam was unremarkable. The patient was started on topical moxifloxacin drops, erythromycin ointment, and preservative free artificial tears, but did not improve. Apremilast was then discontinued and topical prednisolone was added once per day. Ten weeks after discontinuation of apremilast and topical steroid therapy, the patient had recovered normal vision with an intact and normal corneal epithelium.

Conclusions and Importance

This is the first case report of cornea epithelial keratitis resembling hurricane keratopathy associated with apremilast treatment and should be recognized as a possible side effect of therapy with this class of drug.

Antibiotic-associated vanishing bile duct syndrome: a real-world retrospective and pharmacovigilance database analysis

PURPOSE

Vanishing bile duct syndrome (VBDS) is a rare, but potentially fatal adverse reaction triggered by certain medications. Few real-world studies have shown association between antibiotics and VBDS. We sought to quantify the risk and evaluate the clinical features of VBDS associated with antibiotics.

METHODS

Data from 2004 to 2022 on VBDS events induced by antibiotics were retrieved from the FDA Adverse Event Reporting System (FAERS) database and disproportionality analyses were conducted. Furthermore, case reports from 2000 to 31 December 2022 on antibiotics-induced VBDS were retrieved for retrospective analysis.

RESULTS

We collected 132 VBDS reports from the FAERS database. Fluoroquinolones had the greatest proportion and highest positive signal values of VBDS. The RORs (95% CIs) for antibiotics were fluoroquinolones 23.68 (18.12-30.95), macrolides 19.37 (13.58-27.62), carbapenems 17.39 (7.77-38.96), beta-lactam 13.28 (9.69-18.20), trimethoprim/sulfamethoxazole 9.05 (5.57-14.7), and tetracycline 4.02 (1.50-10.77). Twenty-three cases from 22 studies showed evidence of VBDS, beta-lactam (52.2%) was the most frequently reported agent. The median age was 45 years, the typical initial symptoms included rash (30.4%), fatigue/asthenia (26.1%), dark urine (21.7%) and Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN) (21.7%). The median time to onset of VBDS was 2 weeks. All cases had abnormal liver function test, and the median level of total bilirubin was 23.6 mg/dl (range 3.2-80 mg/dl). Cessation of culprit drugs and treatment with ursodeoxycholic acid (83.3%) were not associated with improved outcomes (57.1%).

CONCLUSION

This study identified thirteen antibacterial agents with significant reporting associations with VBDS. Fluoroquinolones may be a neglected agent of inducing VBDS.

Risk of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis Associated With Antibiotic Use: A Case-Crossover Study

BACKGROUND

Evidence is lacking on the association between antibiotic use and risk of Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) in Asians.

OBJECTIVE

We assessed the risk of SJS/TEN associated with different antibiotic classes in Japanese.

METHODS

We conducted a case-crossover study using a claims database. Firth conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of SJS/TEN associated with antibiotic use in a 56-day hazard period versus 3 control periods. We created 18 cohorts for each antibiotic class and calculated 56-day cumulative incidence per 100,000 new users. The association between antibiotic class and SJS/TEN was also evaluated in each case using the ALgorithm of Drug causality for Epidermal Necrolysis (ALDEN).

RESULTS

Our case-crossover study included 170 SJS/TEN cases. Increased ORs were observed for lincomycins (OR, 33.00 [95% CI, 3.74-4332.05]), trimethoprim-sulfamethoxazole (21.20 [6.73-105.98]), penicillins (14.39 [6.95-34.21]), glycopeptides (14.37 [3.17-136.10]), cephalosporins (7.06 [4.25-12.21]), aminoglycosides (6.55 [1.97-26.84]), quinolones (5.98 [3.34-11.20]), fosfomycin (5.40 [1.20-30.97]), carbapenems (5.09 [1.85-15.64]), tetracyclines (4.95 [1.78-15.27]), and macrolides (3.78 [2.13-6.83]). Cumulative incidence of SJS/TEN was 67.4 for trimethoprim-sulfamethoxazole, 86.2 for glycopeptides, and below 10.0 for the others. Despite the high incidence, only 2 cases had a probable causal relationship with glycopeptides.

CONCLUSION

Some antibiotic classes, including lincomycins, glycopeptides, aminoglycosides, fosfomycin, and carbapenems, were newly suggested to be associated with risk of SJS/TEN; considered together with the high incidence for trimethoprim-sulfamethoxazole and glycopeptides, these findings warrant caution in clinical practice.