Adverse drug reactions

Public interest in drug-related problems reflected in information search trends: an infodemiological study

BACKGROUND

The analysis of how people search and "navigate" the internet to obtain health-related information and how they communicate and share this information can provide valuable knowledge about the disease patterns behaviour and health habits of populations.

OBJECTIVE

To determine the population's interest in drug-related problems through information search trends.

METHOD

A descriptive ecological correlational study, based on obtaining Google Trends data.

VARIABLES STUDIED

relative search volume (RSV), evolution over time, milestones and seasonality.

RESULTS

The most searched topic was drug overdose, with mean RSV of 56.25 ± 0.65. The highest increase occurred in the contraindication topic (R2 = 0.87, p < 0.001). The main milestone was observed in the drug overdose topic in July 2018 (RSV = 100). A very close relationship was found between adverse drug reaction and contraindication (R = 0.89, p < 0.001). Slight seasonality was noted in the adverse drug reaction (augmented Dickey-Fuller test [ADF] = -1.96), contraindication (ADF = -2.66) and drug interaction (ADF = -1.67) topics, but did not show an epidemiological trend.

CONCLUSIONS

The greatest public interest was found in the drug overdose and contraindication topics, which showed a stronger upward trend, although the seasonality study did not show any very notable data or demonstrate epidemiological information search behaviour. The main milestone observed was due to media factors related to the consumption of narcotics. There was a clear difference in English-speaking countries in the use of the drug overdose topic. A correlation between the adverse drug reaction and contraindication topics was confirmed.

Cardiac adverse drug reactions to COVID-19 vaccines. A cross-sectional study based on the Europe-wide data

AIMS

We aimed to analyse serious cardiac adverse drug reactions to COVID-19 vaccines from the Europe-wide EudraVigilance database.

METHODS AND RESULTS

In this retrospective, cross-sectional study, the EudraVigilance database was searched to identify suspected serious cardiac post-vaccination adverse drug reactions to COVID-19 vaccines. This data was coupled with the number of total vaccine doses administered in the European Economic Area for Comirnaty (Pfizer BioNTech), Spikevax (Moderna), Vaxzevria (AstraZeneca), Jcovden (Janssen), Nuvaxovid (Novavax), products, available from the European Centre for Disease Prevention and Control 'Vaccine Tracker' database. The analysis included 772 228 309 administered doses of eligible vaccines from the 'Vaccine Tracker' database and 86 051 eligible records of cardiac adverse drug reactions from the EudraVigilance database. The frequency of most of the investigated adverse drug reactions was very rare (<1/10 000 i.e. <100/1 000 000 doses). The lowest risk of any serious cardiac adverse drug reactions was noticed for vaccination with Comirnaty (135.5 per million doses), while Spikevax, Jcovden, Vaxzevria, and Nuvaxovid were characterized by higher risk (respectively, 140.9, 194.8, 313.6, and 1065.2 per million doses). The most common complications of vaccinations included syncope, arrhythmia, tachycardia, palpitations, angina pectoris, hypertension, myocarditis, thrombosis, and pulmonary embolism.

CONCLUSION

The risk of serious cardiac adverse drug reactions to COVID-19 vaccines is low and the benefit of active immunization against that disease seems to outweigh the potential risk of serious post-vaccination cardiac adverse drug reactions.

Intelligent wearable-assisted digital healthcare industry 5.0

The latest evolution of the healthcare industry from Industry 1.0 to 5.0, incorporating smart wearable devices and digital technologies, has revolutionized healthcare delivery and improved patient treatment. Integrating smart wearables such as fitness trackers, smartwatches, and biosensors has endowed healthcare Industry 5.0 with numerous advantages, including remote patient monitoring, personalized healthcare, patient empowerment and engagement, telemedicine, and virtual care. This digital healthcare paradigm embraces promising technologies like Machine Learning (ML) and the Internet of Medical Things (IoMT) to enhance patient care. The key contribution of digital healthcare Industry 5.0 lies in its ability to revolutionize patient care by leveraging smart wearables and digital technologies to provide personalized, proactive, and patient-centric healthcare solutions. Despite the remarkable growth of smart wearables, the exploration of ML-based applications still needs to be expanded. Motivated by this gap, our paper conducts a comprehensive examination and evaluation of advanced ML techniques pertinent to the digital healthcare Industry 5.0 and wearable technology. We propose a detailed taxonomy for digital healthcare Industry 5.0, transforming it into an innovative process model highlighting key research challenges such as wearable modes for data collection, health tracking, security, and privacy issues. The proposed ML-based process comprises data collection from wearables like smartwatches and performs data pre-processing. Several ML models are applied, such as Support Vector Machine (SVM), Decision Tree (DT), and Random Forest(RF), to predict and classify the activity of the person. ML algorithms are capable of analyzing extensive healthcare data encompassing electronic health records (EHR) from sensors to offer valuable insights to improve decision-making processes. A comparative study of the existing work is discussed in detail. Lastly, a case study is presented to render the process model, where the RF-based model shows its efficacy by obtaining the lowest RMSE of 0.94, MSE of 0.88, and MAE of 0.27 for the prediction of activity.

Safety profiles in the use of immune checkpoint inhibitors by patients with cancer and pre-existing autoimmune diseases

INTRODUCTION

The treatment of cancer when associated with autoimmune diseases (AID) has been the subject of immunotherapy investigation, especially with the use of immune checkpoint inhibitors (ICI). Clinical studies have restricted the evaluation of its use in special populations such as patients with AID, leaving a gap regarding the safety of using immunotherapy.

OBJECTIVE

Discuss the safety of using ICI in patients with cancer and AID, in specialized oncology units, in the cities of Bahia, Brazil.

METHODS

Retrospective and quantitative cross-sectional study on immune-related adverse events (IRAE) to the use of ICI in patients with cancer and AID.

RESULTS

Patients (39 with cancer, and 14 with AID and cancer) were studied. Men (between 30 and 95 years old), melanoma and lung cancer and Hashimoto's thyroiditis were predominance. Pembrolizumab and Nivolumab (anti-PDL-1) were drugs most used. In general, patients using anti-PDL-1 with AID had IRAE with greater frequency and severity: Grade 1 (57%) and 3/4 grades (43%) reactions. The gastrointestinal system presented a greater IRAE in both groups, however in patients with AID more severe reactions were found (0% versus 60%). Patients with cancer and AID had higher rates of IRAE compared to patients without AID, respectively, of discontinuation (50% versus 18%) and interruption (85% versus 20%) of treatment.

CONCLUSION

IRAE increased in patients using ICI with cancer and AID. This suggests that the presence of IAD, in cancer patients, can increase the severity of IRAE. Therefore, the adoption of more appropriate therapeutic strategies is essential for better therapeutic results.

The effect of pharmacist-led interventions on the appropriateness and clinical outcomes of anticoagulant therapy: a systematic review and meta-analysis

AIM

Although pharmacist-led interventions in anticoagulant (AC) therapy are widely accepted, there is a lack of evidence comparing their effectiveness with usual care in terms of AC therapy appropriateness and clinical outcomes. We aimed to estimate the comparative effectiveness of pharmacist-led interventions on the appropriateness and clinical outcomes of AC therapy.

METHODS AND RESULTS

Adhering to the PRISMA guidelines, we searched PubMed, EMBASE, and Scopus databases to identify randomized controlled trials and quasi-experimental and cohort studies published between 2010 and 2023. A random-effects model was used to calculate pooled intervention effects. We assessed heterogeneity (using Higgins' I2 and Cochran's Q) and publication bias (using Egger's test, the trim-and-fill method, and visualization of the funnel plot). In total, 35 studies involving 10 374 patients in the intervention groups and 11 840 in the control groups were included. The pharmacist-led interventions significantly improved the appropriateness of AC therapy [odds ratio (OR): 3.43, 95% confidence interval (CI): 2.33-5.06, P < 0.01]. They significantly decreased total bleeding [relative risk (RR): 0.75, 95% CI: 0.58-0.96, P = 0.03) and hospitalization or readmission (RR: 0.64, 95% CI: 0.41-0.99, P = 0.04). However, the impact of the pharmacist-led interventions on thromboembolic events (RR: 0.69, 95% CI: 0.46-1.02, P = 0.07) and mortality (RR: 0.76, 95% CI: 0.51-1.13, P = 0.17) was not significant.

CONCLUSION

Pharmacist-led interventions demonstrated superior outcomes in optimizing AC therapy compared with usual care. Further research is needed to evaluate pharmacist-led interventions' cost-effectiveness and long-term sustainability. PROSPERO registration number: CRD42023487362.

A national analysis of systemic adverse events of beta-blockers used for glaucoma therapy

PURPOSE

To evaluate systemic complications for timolol, carteolol, levobunolol, and/or betaxalol by using an FDA Federal Adverse Event Reporting System (FAERS).

METHODS

We evaluated FAERS for adverse events associated with β-blocker use for glaucoma. All reported symptoms were reviewed to identify systemic adverse events and to detect safety signals, defined as information on a new or known side effect that may be caused by a medicine. We used the proportional reporting ratio (PRR), reporting odds ratio (ROR), empirical Bayes geometric mean (EBGM), and information component (IC) as a part of a disproportionality analysis comparing the frequency of β-blocker symptoms with all other adverse event reports. We considered a signal to be detected when all four disproportionality analysis metrics were positive.

RESULTS

We found 10,500,309 total adverse event reports from the FAERS database 2004-2022Q3, which included 8,793 case reports with a primary suspect of a β-blocker use for glaucoma. 1,838 unique adverse symptoms were reported were associated with β-blocker. Regarding outcomes, there were 165 (1.88%) reports of disability, 671 (7.63%) reports of hospitalisation, and 1,934 (21.99%) reports of some other unspecified complication. Regarding adverse events, the most reported general, cardiac, and respiratory symptoms were respectively dizziness (n = 281), bradycardia (n = 145), and dyspnoea (n = 195). 256 (2.91%) cases of death were reported. We found significant signals on bradycardia (n = 145), complete atrioventricular block (n = 38), and bronchospasm (n = 23). No allergic, endocrine, constitutional, or gastrointestinal symptoms generated positive signals.

CONCLUSION

β-blocker use in glaucoma therapy can be rarely associated with serious systemic and life-threatening complications.

The Value of Social Media Analysis for Adverse Events Detection and Pharmacovigilance: Scoping Review

BACKGROUND

Adverse drug events pose an enormous public health burden, leading to hospitalization, disability, and death. Even the adverse events (AEs) categorized as nonserious can severely impact on patient's quality of life, adherence, and persistence. Monitoring medication safety is challenging. Web-based patient reports on social media may be a useful supplementary source of real-world data. Despite the growth of sophisticated techniques for identifying AEs using social media data, a consensus has not been reached as to the value of social media in relation to more traditional data sources.

OBJECTIVE

This study aims to evaluate and characterize the utility of social media analysis in adverse drug event detection and pharmacovigilance as compared with other data sources (such as spontaneous reporting systems and the clinical literature).

METHODS

In this scoping review, we searched 11 bibliographical databases and Google Scholar, followed by handsearching and forward and backward citation searching. Each record was screened by 2 independent reviewers at both the title and abstract stage and the full-text screening stage. Studies were included if they used any type of social media (such as Twitter or patient forums) to detect AEs associated with any drug medication and compared the results ascertained from social media to any other data source. Study information was collated using a piloted data extraction sheet. Data were extracted on the AEs and drugs searched for and included; the methods used (such as machine learning); social media data source; volume of data analyzed; limitations of the methodology; availability of data and code; comparison data source and comparison methods; results, including the volume of AEs, and how the AEs found compared with other data sources in their seriousness, frequencies, and expectedness or novelty (new vs known knowledge); and conclusions.

RESULTS

Of the 6538 unique records screened, 73 publications representing 60 studies with a wide variety of extraction methods met our inclusion criteria. The most common social media platforms used were Twitter and online health forums. The most common comparator data source was spontaneous reporting systems, although other comparisons were also made, such as with scientific literature and product labels. Although similar patterns of AE reporting tended to be identified, the frequencies were lower in social media. Social media data were found to be useful in identifying new or unexpected AEs and in identifying AEs in a timelier manner.

CONCLUSIONS

There is a large body of research comparing AEs from social media to other sources. Most studies advocate the use of social media as an adjunct to traditional data sources. Some studies also indicate the value of social media in understanding patient perspectives such as the impact of AEs, which could be better explored.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/47068.

Reimagining the ADR Alert Card: a novel approach to recurrence prevention in low-cost settings for adverse drug reactions

OBJECTIVES

Adverse drug reactions (ADRs) are among the leading standalone causes of morbidity and hospitalisation and contribute substantially to an increase in healthcare expenditure. Repeat ADR events, although difficult to quantify, are a recognised problem that lead to preventable suffering for the patient. The current approaches for the prevention of ADR recurrence in low/middle-income countries range from inefficient to non-existent. There is very little literature that focuses on the preventability of ADRs in such settings. This study aimed to develop the ADR Alert Card, an economical innovation designed as a stop gap in preventing ADR recurrence, and to evaluate its utility by validating the system through input from medical professionals.

METHODS

The ADR Alert Card was validated and registered with the Copyrights Office of the Government of India. To obtain the opinion of healthcare professionals and gauge the status quo in prevention of ADR recurrence, we conducted an online descriptive cross-sectional study over a period of 6 months.

RESULTS

The survey received 218 responses. Demographics varied, ranging across different healthcare specialties and years of experience. Our study found that existing practice in ADR recurrence prevention was inadequate, and most healthcare workers were unaware of an alternative approach. Unique solutions were provided by the respondents, with the majority favouring a card format for preventing recurrence.

CONCLUSIONS

After being introduced to the ADR Alert Card, there was an overwhelming consensus on the utility and practicality of this card in preventing ADR recurrence.

Practical Recommendations on Laboratory Monitoring in Patients with Atopic Dermatitis on Oral JAK Inhibitors

Oral Janus kinase inhibitors (JAKi), a class of advanced targeted systemic therapy, have demonstrated efficacy and safety in the treatment of moderate-to-severe atopic dermatitis (AD). Like other small molecules, oral JAKi have the potential for off-target effects including laboratory-related adverse events (AEs). Product labels for oral JAKi recommend an initial laboratory assessment and follow-up 4-12 weeks later to monitor for potential changes, based on evidence from clinical trials across therapeutic indications for oral JAKi, which may not reflect a population of moderate-to-severe AD patients typically seen in routine clinical practice. To address this gap, a panel of eight dermatologists with clinical and research experience with oral JAKi for the management of AD conducted a targeted review of the literature focused on key laboratory-related AEs associated with oral JAKi in the moderate-to-severe AD population. Based on the synthesis of evidence and informed opinion, a set of best practice statements related to fundamental standards of care and consensus recommendations on laboratory monitoring were suggested, and level of agreement was ascertained using a Likert scale from 0 to 100. There was a high level of agreement on three of the four suggested recommendations related to assessment and monitoring of key laboratory parameters and to dose reduction or switching in response to laboratory changes; there was a lower level of agreement related to the frequency of ongoing laboratory monitoring. Appropriate patient selection and laboratory assessment is an important strategy to mitigate the potential risks associated with oral JAKi when treating AD.

Transformers and large language models in healthcare: A review

With Artificial Intelligence (AI) increasingly permeating various aspects of society, including healthcare, the adoption of the Transformers neural network architecture is rapidly changing many applications. Transformer is a type of deep learning architecture initially developed to solve general-purpose Natural Language Processing (NLP) tasks and has subsequently been adapted in many fields, including healthcare. In this survey paper, we provide an overview of how this architecture has been adopted to analyze various forms of healthcare data, including clinical NLP, medical imaging, structured Electronic Health Records (EHR), social media, bio-physiological signals, biomolecular sequences. Furthermore, which have also include the articles that used the transformer architecture for generating surgical instructions and predicting adverse outcomes after surgeries under the umbrella of critical care. Under diverse settings, these models have been used for clinical diagnosis, report generation, data reconstruction, and drug/protein synthesis. Finally, we also discuss the benefits and limitations of using transformers in healthcare and examine issues such as computational cost, model interpretability, fairness, alignment with human values, ethical implications, and environmental impact.

Misuse, Abuse and Medication Errors' Adverse Events Associated with Opioids-A Systematic Review

Opioids are the strongest analgesics available and are crucial in the treatment of acute and chronic pain. The line between these critical medications and how they are used beyond standard therapeutics in cases such as abuse, misuse, and medication errors needs to be understood, as it affects their safety, efficacy, and manner of use. The aim of this systematic review was to identify what is known about the adverse events resulting from the abuse, misuse, and medication errors associated with opioid use. A systematic search was conducted in the PubMed®, Scopus® and, EBSCO® databases to retrieve studies from the inception to December 2023 reporting abuse, misuse, and medication errors associated with medicinal opioid use. Two authors independently screened titles and abstracts and full text according to eligibility using Covidence® software. Full articles were examined by two independent reviewers, and disagreements were resolved by a third reviewer. The risk of bias was assessed by the JBI's critical appraisal tools. A total of 934 articles were screened by their title and abstract. Then, 151 articles were selected for full text screening. Of these, 34 studies were eligible for inclusion in this review. The included studies varied significantly in their population sizes, ranging from 9 individuals to 298,433 patients, and encompassed a diverse demographic, including all ages and both sexes. The studies consistently reported a range of adverse events associated with opioid use. Fentanyl, morphine, oxycodone, tramadol, and hydrocodone were frequently implicated. The data heterogeneity in this field resulted in challenges in drawing conclusions. The review highlights that some opioids, particularly fentanyl, morphine, and oxycodone, are frequently associated with preventable adverse drug reactions, abuse, and medication errors, underscoring the need for robust preventative measures and ongoing research to mitigate opioid-related harm.

Outcomes of Community Pharmacy Interventions on Patients with Medicines Under Additional Monitoring

Purpose

Additional monitoring (AM) medicines include (i) medicines containing a new active substance; (ii) biological medicines; (iii) medicines with conditional approval or authorized in special situations; (iv) medicines which require further studies; (v) medicines that have specific requirements regarding the reporting of suspected adverse drug reactions (ADRs). When AM medicines are marketed, their most common ADRs are known, but safety information is limited because relatively rare ADRs are often not detected in clinical trials. Their AM status warrants real-world studies to identify other safety issues; however, such studies are lacking. Correct use and adherence to dosage regimen by patients are key factors for the evaluation of the safety and efficacy of medicines. The objective of this work was assessing the impact on safety, adherence, use and knowledge (U&K) about medicines and patient's quality of life (QOL), of community pharmacist (CP)-led interventions in a new service focused on AM medicines targeted at three prevalent chronic diseases: diabetes mellitus type 2, chronic obstructive pulmonary disease and cardiovascular disease.

Patients and Methods

A prospective interventional cohort study was conducted with a 6-month follow-up in 27 community pharmacies (145 patients). Safety, adherence to treatment, patient U&K and QOL were assessed at follow-up visits (months 0, 3 and 6).

Results

The number of detected ADRs was 163 with 41 patients referred to the doctor. At baseline, 24.1% of the patients were non-adherent, mainly due to unintentional causes. After six months and 130 interventions by CPs on adherence, a significant reduction to lower than 5.8% was achieved. The inadequate U&K of medicines also decreased, from 47.6% to 7.9% after 182 interventions. Also, the patient's QOL improved.

Conclusion

A new patient-centered pharmacy service provides some evidence on the important role of CP in assisting the proper and safe use of AM medicines, improving patient health outcomes.

Increased sexual function after intake of clomethiazole

An octogenarian woman showed increased sexual function after replacing alprazolam with clomethiazole, a sedative-hypnotic drug commonly prescribed in French-speaking Switzerland for the treatment of anxiety and insomnia in elderly patients. The patient's sexual symptoms did not improve after resuming alprazolam, but disappeared after interrupting clomethiazole, and did not reappear when alprazolam was discontinued. Considering the chronology of the events, increased sexual function was likely a manifestation of the introduction of clomethiazole. However, because alprazolam was interrupted when clomethiazole was introduced, we cannot exclude an association between increased sexual function and alprazolam interruption.

Patients' Identification, Management and Prevention of Adverse Drug Reactions: A Cross-Sectional Survey of Patients with Severe Adverse Drug Reactions

Background: Few studies have been conducted on how patients identify, manage, and prevent severe adverse drug reactions (ADRs). This study aimed to explore the reasoning that patients use to identify symptoms of severe ADRs and the methods they employ to manage and prevent them. Methods: A cross-sectional survey using structured telephone interviews was administered to patients with a self-assessed severe ADR and to patients with serious skin ADRs from a hospital medical record database (in-patient and out-patient) from 1 September 2016 to 1 September 2019. Patients identified via the medical records were asked to assess their ADR for severity, and only patients that rated their ADR as severe were followed up with a telephone interview. Structured telephone interviews were conducted with respondents by a research pharmacist and audio-recorded. Results: A total of 722 patients with a severe ADR were identified, with 300 completing the interview (41.6%). The most frequently cited reasons for classifying ADRs as severe was worsening ADR symptoms (58.3%), severe ADR symptoms (44.4%), and ADR symptoms interfering with their life (36.4%). Only severe ADR symptoms were significantly different between the questionnaire and the medical records database groups (p = 0.007). The most frequent method of ADR management was discontinuation of drug by physicians (88.3%). About 79.0% of patients stated that they increased their carefulness when using other drugs after experiencing ADRs. The main method patients used to prevent ADRs was informing healthcare professionals (HCPs) about their drug allergy history (65.7%). Conclusions: Worsening ADR symptoms were often used to identify severe ADRs. However, HCPs were mainly responsible for the management and prevention of severe ADRs. Increasing awareness of ADRs by HCPs, and providing additional drug information, may improve patient safety.

A Real-World Safety Profile in Neurological, Skin, and Sexual Disorders of Anti-Seizure Medications Using the Pharmacovigilance Database of the Korea Adverse Event Reporting System (KAERS)

(1) Background: The utilization of high-quality evidence regarding the safety of anti-seizure medications (ASMs) is constrained by the absence of standardized reporting. This study aims to examine the safety profile of ASMs using real-world data. (2) Methods: The data were collected from the Korea Adverse Event Reporting System Database (KAERS-DB) between 2012 and 2021. In total, 46,963 adverse drug reaction (ADR)-drug pairs were analyzed. (3) Results: At the system organ class level, the most frequently reported classes for sodium channel blockers (SCBs) were skin (37.9%), neurological (16.7%), and psychiatric disorders (9.7%). For non-SCBs, these were neurological (31.2%), gastrointestinal (22.0%), and psychiatric disorders (18.2%). The most common ADRs induced by SCBs were rash (17.8%), pruritus (8.2%), and dizziness (6.7%). Non-SCBs were associated with dizziness (23.7%), somnolence (13.0%), and nausea (6.3%). Rash, pruritus, and urticaria occurred, on average, two days later with SCBs compared to non-SCBs. Sexual/reproductive disorders were reported at a frequency of 0.23%. SCBs were reported as the cause more frequently than non-SCBs (59.8% vs. 40.2%, Fisher's exact test, p < 0.0001). (4) Conclusions: Based on real-world data, the safety profiles of ASMs were identified. The ADRs induced by SCBs exhibited different patterns when compared to those induced by non-SCBs.

Exploring the Perceptions and Behaviours of UK Prescribers Concerning Novel Lipid-Lowering Agent Prescriptions: A Qualitative Study

Reducing low-density lipoprotein cholesterol levels lowers the risk of atherosclerotic cardiovascular disease. With the current and future portfolios of emerging lipid-lowering therapies included in various national and international guidelines, the objectives of this study were (i) to investigate the perceptions of UK prescribers', including doctors, pharmacists, and nurses, on current lipid management for cardiovascular diseases and prescriptions of novel lipid-lowering therapies, and (ii) to explore the challenges and facilitating factors of prescribing novel lipid-lowering therapies through qualitative interviews. Qualitative semi-structured interviews with twelve medical and non-medical prescribers were conducted, around 20-30 min in length. The interviews were audio-recorded and transcribed on an online platform. A thematic analysis was deployed. Four major themes emerged from the analysis: (1) prescribing barriers; (2) prescribing enablers; (3) inter-profession variability; and (4) health literacy. These themes highlighted the contrast between the need for optimal shared decision making and the various constraints in practice. Participants expressed their inexperience with novel lipid-lowering therapies and acknowledged the requirement and importance of these agents for primary cardiovascular disease prevention. Participants recognised confidence and competence as key drivers for prescribing therapies and welcomed further education and training to enhance their skillset. Patients' misconceptions towards current lipid-lowering therapies contributed to their refusal of newer agents, highlighting a requirement to improve patient education. Targeting communities through awareness campaigns was identified as a viable solution.

Interaction of systemic drugs causing ocular toxicity with organic cation transporter: an artificial intelligence prediction

Chronic disease patients (cancer, arthritis, cardiovascular diseases) undergo long-term systemic drug treatment. Membrane transporters in ocular barriers could falsely recognize these drugs and allow their trafficking into the eye from systemic circulation. Hence, despite their pharmacological activity, these drugs accumulate and cause toxicity at the non-target site, such as the eye. Since around 40% of clinically used drugs are organic cation in nature, it is essential to understand the role of organic cation transporter (OCT1) in ocular barriers to facilitate the entry of systemic drugs into the eye. We applied machine learning techniques and computer simulation models (molecular dynamics and metadynamics) in the current study to predict the potential OCT1 substrates. Artificial intelligence models were developed using a training dataset of a known substrates and non-substrates of OCT1 and predicted the potential OCT1 substrates from various systemic drugs causing ocular toxicity. Computer simulation studies was performed by developing the OCT1 homology model. Molecular dynamic simulations equilibrated the docked protein-ligand complex. And metadynamics revealed the movement of substrates across the transporter with minimum free energy near the binding pocket. The machine learning model showed an accuracy of about 80% and predicted the potential substrates for OCT1 among systemic drugs causing ocular toxicity - not known earlier, such as cyclophosphamide, bupivacaine, bortezomib, sulphanilamide, tosufloxacin, topiramate, and many more. However, further invitro and invivo studies are required to confirm these predictions.Communicated by Ramaswamy H. Sarma.

Real-world safety profile of tetracyclines in children younger than 8 years old: an analysis of FAERS database and review of case report

BACKGROUND

The study aims to obtain the real-world safety profile of tetracyclines in children younger than 8 years old and provide reference for clinical drug applications.

RESEARCH DESIGN AND METHODS

We made a disproportionality analysis of the FDA Adverse Event Reporting System (FAERS) database through OpenVigil 2 and conducted a review of case reports regarding adverse drug reactions (ADRs) of tetracyclines in children younger than 8-year-old.

RESULTS

FAERS analysis identified 32 ADRs of tetracyclines in children younger than 8-year-old. Respiratory, thoracic, and mediastinal disorders contained the most frequent ADRs among all system organ classes (SOCs). The top three positive signals with the highest proportional reporting ratio (PRR) were laryngeal injury, Horner's syndrome and methaemoglobinaemia. Sixteen published tetracyclines-associated cases in children younger than 8-year-old were identified in the literature, concentrating in three SOCs. Gastrointestinal disorders were the most commonly reported cases (n = 12).

CONCLUSIONS

Several ADRs were newly reported only in children younger than 8-year-old in our research, including Horner's syndrome and methemoglobinemia. We recommended that the clinical practitioners should pay attention to the ADRs both in instruction and beyond the label. Take close care of children and timely intervene when the treatment is inevitable.

Prevalence and risk factors of chemotherapy-induced oral mucositis among adult cancer patients at the cancer unit of Mbarara Regional Referral Hospital

BACKGROUND

Chemotherapy is a common treatment for cancer, but it is associated with adverse drug reactions like oral mucositis. This condition destroys basal cells in the oral mucosal layer, causing inflammation and ulceration. This can impact the patient's physical, emotional, and psychological well-being, affecting treatment outcomes and quality of life. This study aims to determine the prevalence, severity, and risk factors of chemotherapy-induced oral mucositis among adult cancer patients.

METHODS

The study was a cross-sectional study conducted among adult cancer patients receiving chemotherapy at the cancer unit of Mbarara Regional Referral Hospital in southwestern Uganda. Data was collected through patient interviews, oral examinations, and patient chart reviews.

RESULTS

Out of 268 patients, 115 (42.9%) experienced oral mucositis. Grade 2 oral mucositis was the most common (44.3%) followed by grade 1 (35.7%) and grade 3 (20.0%). Independent risk factors of chemotherapy-induced oral mucositis were female gender (Adjusted Odds Ratio (AOR) = 2.19, 95% confidence interval [CI]: 1.27-3.78; p-value = 0.005), poor oral hygiene (AOR = 3.70, 95% CI: 1.51-9.10; p-value = 0.04), and receiving chemotherapy containing an alkylating agent (AOR = 3.17, 95% CI: 1.63-6.19; p-value < 0.001).

CONCLUSION

The study found that two out of five chemotherapy patients developed oral mucositis, with nearly half being grade 2. The risk factors identified in our study were comparable to those reported in previous studies. Therefore, identification and assessment of cancer patients at high risk for chemotherapy-induced oral mucositis should be routinely done for proper and timely management.

A novel cell-free therapy using exosomes in the inner ear regeneration

Cellular and molecular alterations associated with hearing loss are now better understood with advances in molecular biology. These changes indicate the participation of distinct damage and stress pathways that are unlikely to be fully addressed by conventional pharmaceutical treatment. Sensorineural hearing loss is a common and debilitating condition for which comprehensive pharmacologic intervention is not available. The complex and diverse molecular pathology that underlies hearing loss currently limits our ability to intervene with small molecules. The present review focuses on the potential for the use of extracellular vesicles in otology. It examines a variety of inner ear diseases and hearing loss that may be treatable using exosomes (EXOs). The role of EXOs as carriers for the treatment of diseases related to the inner ear as well as EXOs as biomarkers for the recognition of diseases related to the ear is discussed.

The temporal association between adverse drug reactions and antirheumatic drugs utilisation in Western Australia: a retrospective study from real-world data (1995-2015)

BACKGROUND/OBJECTIVES

Adverse drug reactions (ADRs) can result in morbidity, mortality, and higher healthcare costs. Given the limited information available on ADRs associated with antirheumatic medications, this study aims to analyse and compare ADR reporting for these drugs in the pharmacovigilance datasets of Western Australia (WA) and the United States (US).

METHODS

Therapeutic Goods Administration provided WA pharmacovigilance data of selected antirheumatic drugs to from 1995 to 2015. The proportional reporting ratio (PRR) for WA case reports was compared to corresponding USA pharmacovigilance data by assessing the disproportionality of each ADR. clinically significant or true ADRs were determined using the Evans 2001 criteria (n > 2, chi-square > 4, PRR > 2).

RESULTS

A total of 232 reports were found in WA, mostly on sixty-nine women aged 45 to 69. Methotrexate, leflunomide, azathioprine, sulfasalazine, and infliximab had the highest reported ADRs, related to gastrointestinal disorders. Patients who used biological agents in WA had 2.7 times the likelihood of reporting true ADRs compared to conventional antirheumatic drugs. The ADR rates in the two datasets were comparable over the study period.

CONCLUSIONS

The PRR values of ADRs were consistent between WA and US databases. Methotrexate and infliximab use were commonly associated with ADR reports in WA females, with incidence rates comparable to the US; while patients using biological agents were more likely to report true ADRs than those on conventional antirheumatic drugs in WA.

A computational clinical decision-supporting system to suggest effective anti-epileptic drugs for pediatric epilepsy patients based on deep learning models using patient's medical history

BACKGROUND

Epilepsy, a chronic brain disorder characterized by abnormal brain activity that causes seizures and other symptoms, is typically treated using anti-epileptic drugs (AEDs) as the first-line therapy. However, due to the variations in their modes of action, identification of effective AEDs often relies on ad hoc trials, which is particularly challenging for pediatric patients. Thus, there is significant value in computational methods capable of assisting in the selection of AEDs, aiming to minimize unnecessary medication and improve treatment efficacy.

RESULTS

In this study, we collected 7,507 medical records from 1,000 pediatric epilepsy patients and developed a computational clinical decision-supporting system for AED selection. This system leverages three multi-channel convolutional neural network (CNN) models tailored to three specific AEDs (vigabatrin, prednisolone, and clobazam). Each CNN model predicts whether a respective AED is effective on a given patient or not. The CNN models showed AUROCs of 0.90, 0.80, and 0.92 in 10-fold cross-validation, respectively. Evaluation on a hold-out test dataset further revealed positive predictive values (PPVs) of 0.92, 0.97, and 0.91 for the three respective CNN models, representing that suggested AEDs by our models would be effective in controlling epilepsy with a high accuracy and thereby reducing unnecessary medications for pediatric patients.

CONCLUSION

Our CNN models in the system demonstrated high PPVs for the three AEDs, which signifies the potential of our approach to support the clinical decision-making by assisting doctors in recommending effective AEDs within the three AEDs for patients based on their medical history. This would result in a reduction in the number of unnecessary ad hoc attempts to find an effective AED for pediatric epilepsy patients.

Uncommon Adverse Events of Immune Checkpoint Inhibitors in Small Cell Lung Cancer: A Systematic Review of Case Reports

BACKGROUND

This study aimed to systematically review case reports documenting rare adverse events in patients with small cell lung cancer (SCLC) following the administration of immune checkpoint inhibitors (ICIs).

METHODS

A systematic literature review was conducted to identify case reports detailing previously unreported adverse drug reactions to ICIs in patients with SCLC. The scope of the literature reviewed was restricted to case studies on SCLC published up to 31 December 2023.

RESULTS

We analyzed twenty-four studies on ICI use for patients with SCLC. There were six reports on atezolizumab, four on durvalumab, and three on adverse events from monotherapy with nivolumab. Reports involving combination treatments were the most frequent, with a total of six, predominantly involving using nivolumab in combination with ipilimumab. Additionally, there was one report each on using pembrolizumab, nofazinilimab, sintilimab, tislelizumab, and toripalimab. We collected detailed information on the clinical course, including patient and disease characteristics, symptoms, treatment for each adverse event, and recovery status. Among the patients included in the case reports, 21 out of 24 (87.5%) had extensive-stage SCLC when initiating ICI therapy, with only 1 patient diagnosed with limited-stage SCLC. Respiratory system adverse events were most common, with seven cases, followed by neurological, endocrinological, and gastroenterological events. Three case reports documented adverse events across multiple systems in a single patient. In most cases, patients showed symptom improvement; however, four studies reported cases where patients either expired without symptom improvement or experienced sequelae.

CONCLUSIONS

Efforts to develop reliable biomarkers for predicting irAEs continue, with ongoing research to enhance predictive precision. Immunotherapy presents diverse and unpredictable adverse events, underscoring the need for advanced diagnostic tools and a multidisciplinary approach to improve patient management.

Quillaja saponin mitigates methotrexate-provoked renal injury; insight into Nrf-2/Keap-1 pathway modulation with suppression of oxidative stress and inflammation

BACKGROUND

Methotrexate (MTX) is an antineoplastic/immunosuppressive drug, whose clinical use is impeded owing to its serious adverse effects; one of which is acute kidney injury (AKI). Most of MTX complications emerged from the provoked pro-oxidant-, pro-inflammatory- and pro-apoptotic effects. Quillaja saponaria bark saponin (QBS) is a bioactive triterpene that has been traditionally used as an antitussive, anti-inflammatory supplement, and to boost the immune system due to its potent antioxidant- and anti-inflammatory activities. However, the protective/therapeutic potential of QBS against AKI has not been previously evaluated. This study aimed to assess the modulatory effect of QBS on MTX-induced reno-toxicity.

METHODS

Thirty-two male rats were divided into 4-groups. Control rats received oral saline (group-I). In group-II, rats administered QBS orally for 10-days. In group-III, rats were injected with single i.p. MTX (20 mg/kg) on day-5. Rats in group-IV received QBS and MTX. Serum BUN/creatinine levels were measured, as kidney-damage-indicating biomarkers. Renal malondialdehyde (MDA), reduced-glutathione (GSH) and nitric-oxide (NOx) were determined, as oxidative-stress indices. Renal expression of TNF-α protein and Nrf-2/Keap-1 mRNAs were evaluated as regulators of inflammation. Renal Bcl-2/cleaved caspase-3 immunoreactivities were evaluated as apoptosis indicators.

RESULTS

Exaggerated kidney injury upon MTX treatment was evidenced histologically and biochemically. QBS attenuated MTX-mediated renal degeneration, oxidant-burden enhancement, excessive inflammation, and proapoptotic induction. Histopathological analysis further confirmed the reno-protective microenvironment rendered by QBS.

CONCLUSIONS

In conclusion, our results suggest the prophylactic and/or therapeutic effects of QBS in treating MTX-induced AKI. Such reno-protection is most-likely mediated via Nrf-2 induction that interferes with oxidant load, inflammatory pathways, and proapoptotic signaling.

Genetic diversity of variants involved in drug response among Tunisian and Italian populations toward personalized medicine

Adverse drug reactions (ADR) represent a significant contributor to morbidity and mortality, imposing a substantial financial burden. Genetic ancestry plays a crucial role in drug response. The aim of this study is to characterize the genetic variability of selected pharmacogenes involved with ADR in Tunisians and Italians, with a comparative analysis against global populations. A cohort of 135 healthy Tunisians and 737 Italians were genotyped using a SNP array. Variants located in 25 Very Important Pharmacogenes implicated in ADR were extracted from the genotyping data. Distribution analysis of common variants in Tunisian and Italian populations in comparison to 24 publicly available worldwide populations was performed using PLINK and R software. Results from Principle Component and ADMIXTURE analyses showed a high genetic similarity among Mediterranean populations, distinguishing them from Sub-Saharan African and Asian populations. The Fst comparative analysis identified 27 variants exhibiting significant differentiation between the studied populations. Among these variants, four SNPs rs622342, rs3846662, rs7294, rs5215 located in SLC22A1, HMGCR, VKORC1 and KCNJ11 genes respectively, are reported to be associated with ethnic variability in drug responses. In conclusion, correlating the frequencies of genotype risk variants with their associated ADRs would enhance drug outcomes and the implementation of personalized medicine in the studied populations.

Vascular Endothelial Growth Factor Inhibitors and the Risk of Aortic Aneurysm and Aortic Dissection

Importance

Vascular endothelial growth factor pathway inhibitors (VPIs) pose a concern for aortic aneurysm (AA) and aortic dissection (AD), signaling potential vascular disease development.

Objective

To investigate VPI-associated AA and AD.

Design, Setting, and Participants

This case-control study with a nested design used full population data from a national claims database in Taiwan between 2011 and 2019. Eligible participants were aged 20 years or older with kidney, hepatic, gastrointestinal, or pancreatic cancer diagnosed between January 1, 2012, and December 31, 2019. The first cancer diagnosis date was defined as the cohort entry date. Cases were patients who received a diagnosis of AA or AD in hospitalizations or emergency visits between the cohort entry date and December 31, 2019. Controls were matched by ratio (up to 1:5) based on age, sex, cancer type, cohort entry date, and the index date (ie, the first AA or AD event date). Data analysis was performed between January 2022 and December 2023.

Exposures

Use of the oral VPIs sorafenib, sunitinib, and pazopanib between cohort entry date and index date.

Main Outcomes and Measures

In the primary analysis, AA and AD were evaluated compositely, while in the secondary analyses, they were evaluated separately. Adjusted odds ratios (aORs) were calculated using conditional logistic regression to assess the association with VPI use (sorafenib, sunitinib, and pazopanib) considering various VPI exposure windows and cumulative use.

Results

A total of 1461 cases were included (mean [SD] age, 73.0 [12.3] years; 1118 male patients [76.5%]), matched to 7198 controls. AA or AD risk increased with a VPI exposure of 100 days or less before the index date (aOR, 2.10; 95% CI, 1.40-3.15), mainly from VPI-associated AD (aOR, 3.09; 95% CI, 1.77-5.39). Longer VPI duration (68 days or more: aOR, 2.64; 95% CI, 1.66-4.19) and higher cumulative dose (61 or more defined daily doses: aOR, 2.65; 95% CI, 1.66-4.23) increased the risk.

Conclusions and Relevance

The use of the 3 study VPIs (sorafenib, sunitinib, and pazopanib) was associated with an increased risk of AA and AD in patients with cancer, essentially all of the risk from VPI-associated AD. Future studies are needed to determine the risk factors of VPI-associated AA and AD, as well as to establish a class effect.

ViCEKb: Vitiligo-linked Chemical Exposome Knowledgebase

Vitiligo is a complex disease wherein the environmental factors, in conjunction with the underlying genetic predispositions, trigger the autoimmune destruction of melanocytes, ultimately leading to depigmented patches on the skin. While genetic factors have been extensively studied, the knowledge on environmental triggers remains sparse and less understood. To address this knowledge gap, we present the first comprehensive knowledgebase of vitiligo-triggering chemicals namely, Vitiligo-linked Chemical Exposome Knowledgebase (ViCEKb). ViCEKb involves an extensive and systematic manual effort in curation of published literature and subsequent compilation of 113 unique chemical triggers of vitiligo. ViCEKb standardizes various chemical information, and categorizes the chemicals based on their evidences and sources of exposure. Importantly, ViCEKb contains a wide range of metrics necessary for different toxicological evaluations. Notably, we observed that ViCEKb chemicals are present in a variety of consumer products. For instance, Propyl gallate is present as a fragrance substance in various household products, and Flutamide is used in medication to treat prostate cancer. These two chemicals have the highest level of evidence in ViCEKb, but are not regulated for their skin sensitizing effects. Furthermore, an extensive cheminformatics-based investigation revealed that ViCEKb chemical space is structurally diverse and comprises unique chemical scaffolds in comparison with skin specific regulatory lists. For example, Neomycin and 2,3,5-Triglycidyl-4-aminophenol have unique chemical scaffolds and the highest level of evidence in ViCEKb, but are not regulated for their skin sensitizing effects. Finally, a transcriptomics-based analysis of ViCEKb chemical perturbations in skin cell samples highlighted the commonality in their linked biological processes. Overall, we present the first comprehensive effort in compilation and exploration of various chemical triggers of vitiligo. We believe such a resource will enable in deciphering the complex etiology of vitiligo and aid in the characterization of human chemical exposome. ViCEKb is freely available for academic research at: https://cb.imsc.res.in/vicekb.

Prediction of risk factors for linezolid-induced thrombocytopenia based on neural network model

Background: Based on real-world medical data, the artificial neural network model was used to predict the risk factors of linezolid-induced thrombocytopenia to provide a reference for better clinical use of this drug and achieve the timely prevention of adverse reactions. Methods: The artificial neural network algorithm was used to construct the prediction model of the risk factors of linezolid-induced thrombocytopenia and further evaluate the effectiveness of the artificial neural network model compared with the traditional Logistic regression model. Results: A total of 1,837 patients receiving linezolid treatment in a hospital in Xi 'an, Shaanxi Province from 1 January 2011 to 1 January 2021 were recruited. According to the exclusion criteria, 1,273 cases that did not meet the requirements of the study were excluded. A total of 564 valid cases were included in the study, with 89 (15.78%) having thrombocytopenia. The prediction accuracy of the artificial neural network model was 96.32%, and the AUROC was 0.944, which was significantly higher than that of the Logistic regression model, which was 86.14%, and the AUROC was 0.796. In the artificial neural network model, urea, platelet baseline value and serum albumin were among the top three important risk factors. Conclusion: The predictive performance of the artificial neural network model is better than that of the traditional Logistic regression model, and it can well predict the risk factors of linezolid-induced thrombocytopenia.

A new word embedding model integrated with medical knowledge for deep learning-based sentiment classification

The development of intelligent systems that use social media data for decision-making processes in numerous domains such as politics, business, marketing, and finance, has been made possible by the popularity of social media platforms. However, the utilization of textual data from social media in the healthcare management industry is still somewhat limited when it is compared to other industries. Investigating how current machine learning and natural language processing technologies can be used in the healthcare industry to gauge public sentiment is an important study. Earlier works on healthcare sentiment analysis have utilized traditional word embedding models trained on the general and medical corpus. However, integration of medical knowledge to pre-trained word embedding models has not been considered yet. Word embedding models trained on the general corpus led to the problem of lacking medical knowledge and the models trained on the small size of the medical corpus have limitations in capturing semantic and syntactic properties. This research proposes a new word embedding model named Word Embedding Integrated with Medical Knowledge Vector (WE-iMKVec). The proposed model integrates sentiment lexicons and medical knowledgebases into the pre-trained word embedding to enrich the properties of word embedding. A new medical-aware sentiment polarity score is proposed for the utilization in learning neural-network sentiment and these vectors incorporate with the original pre-trained word vectors. The resulting vectors are enriched with lexicon vectors and the medical knowledge vectors: Adverse Drug Reaction (ADR) vector and Unified Medical Language System (UMLS) vector are used to build the proposed WE-iMKVec model. WE-iMKVec is validated on the five different social media healthcare review datasets and the empirical results showed its superiority over traditional word embedding models in medical sentiment analysis. The highest improvement can be found in the patients.info medical condition dataset where the proposed model outperforms three conventional word2vec models (Google-News, PubMed-PMC, and Drug Reviews) by 12.7 %, 31.4 %, and 25.4 % respectively in terms of F1 score.

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.

Current Scenario and Future Prospects of Adverse Drug Reactions (ADRs) Monitoring and Reporting Mechanisms in the Rural Areas of India

BACKGROUND

Pharmacovigilance (PV) deals with the detection, collection, assessment, understanding, and prevention of adverse effects associated with drugs. The objective of PV is to ensure the safety of the medicines and patients by monitoring and reporting all adverse drug reactions (ADRs) associated with prescribed medicine usage. Findings have indicated that about 0.2- 24% of hospitalization cases are due to ADRs, of which 3.7% of patients have lethal ADRs. The reasons include the number of prescribed drugs, an increased number of new medicines in the market, an inadequate PV system for ADR monitoring, and a need for more awareness and knowledge about ADR reporting. Severe ADRs lead to enhanced hospital stays, increased treatment costs, risk of death, and many medical and economic consequences. Therefore, ADR reporting at its first instance is essential to avoid further harmful effects of the prescribed drugs. In India, the rate of ADR reporting is less than 1%, whereas worldwide, it is 5% due to a need for more awareness about PV and ADR monitoring among healthcare providers and patients. The main objective of this review is to highlight the current scenario and possible futuristic ways of ADR reporting methods in rural areas of India. We have searched the literature using PubMed, Google scholar, Indian citation index to retrieve the resources related to ADR monitoring and reporting in India's urban and rural areas. Spontaneous reporting is the most commonly used PV method to report ADRs in India's urban and rural areas. Evidence revealed that no effective ADR reporting mechanisms developed in rural areas causing underreporting of ADR, thus increasing the threat to the rural population. Hence, PV and ADR reporting awareness among healthcare professionals and patients, telecommunication, telemedicine, use of social media and electronic medical records, and artificial intelligence are the potential approaches for prevention, monitoring, and reporting of ADRs in rural areas.

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.

Contexts and mechanisms relevant to General Practitioner (GP) based interventions to reduce adverse drug events (ADE) in community dwelling older adults: a rapid realist review

Background

Older adults in Ireland are at increased risk of adverse drug events (ADE) due, in part, to increasing rates of polypharmacy. Interventions to reduce ADE in community dwelling older adults (CDOA) have had limited success, therefore, new approaches are required.A realist review uses a different lens to examine why and how interventions were supposed to work rather than if, they worked. A rapid realist review (RRR) is a more focused and accelerated version.The aim of this RRR is to identify and examine the contexts and mechanisms that play a role in the outcomes relevant to reducing ADE in CDOA in the GP setting that could inform the development of interventions in Ireland.

Methods

Six candidate theories (CT) were developed, based on knowledge of the field and recent literature, in relation to how interventions are expected to work. These formed the search strategy. Eighty full texts from 633 abstracts were reviewed, of which 27 were included. Snowballing added a further five articles, relevant policy documents increased the total number to 45. Data were extracted relevant to the theories under iteratively developed sub-themes using NVivo software.

Results

Of the six theories, three theories, relating to GP engagement in interventions, relevance of health policy documents for older adults, and shared decision-making, provided data to guide future interventions to reduce ADEs for CDOA in an Irish setting. There was insufficient data for two theories, a third was rejected as existing barriers in the Irish setting made it impractical to use.

Conclusions

To improve the success of Irish GP based interventions to reduce ADEs for CDOA, interventions must be relevant and easily applied in practice, supported by national policy and be adequately resourced. Future research is required to test our theories within a newly developed intervention.

A nationwide survey of methods and barriers to adverse drug reaction monitoring and reporting among hospital pharmacists in Thailand

OBJECTIVES

To explore the methods of adverse drug reaction identification and monitoring used by hospital pharmacists in all regions of Thailand, to explore barriers to and pharmacists' attitudes towards adverse drug reaction monitoring and reporting, and to assess the factors related to these aspects.

METHODS

Pharmacists in 480 hospitals in Thailand were selected by stratified sampling. Self-administered questionnaires were sent by post and pharmacists returned completed questionnaires via QR code.

KEY FINDINGS

In total, pharmacists at 286 hospitals returned the questionnaire (response rate = 59.6%). The most common adverse drug reaction (ADR) monitoring methods were the spontaneous reporting system (SRS), which was used by 100% of respondents, followed by high alert drug lists (73.1%) and routine adverse drug reaction monitoring (64.0%). The most frequently used methods of adverse drug reaction prevention were providing drug allergy card and recording allergy history in database. The major barrier to adverse drug reaction monitoring and reporting among respondents was uncertainty about whether the suspected drug caused the reaction (49.3%). Pharmacists had a good attitude towards adverse drug reaction monitoring and reporting (60.5%). Longer work experience (≥10 years) was negatively related with good attitudes towards adverse drug reaction monitoring and reporting (OR = 0.535, P = 0.040), whereas higher education level was positively related (OR = 2.201, P = 0.025).

CONCLUSIONS

Spontaneous reporting system is the main method used for adverse drug reaction monitoring and reporting among hospital pharmacists in Thailand. Pharmacists had good attitudes towards adverse drug reaction monitoring and reporting, however, barriers remain.

Molecular Design of Novel Inhibitor by Targeting IL-6Rα using Combined Pharmacophore and Experimentally Verified Plant Products with Scaffold-Hopping Techniques: A Dual Therapeutic Strategy for COVID-19 and Cancer

The IL-6/IL-6R/gp130 complex serves as a significant indicator of cytokine release syndrome in COVID-19 and chronic inflammation, increasing the risk of cancer. Therefore, we identified IL-6Rα as a potential target to block gp130 interaction. Notably, there has been no reception of approval for an orally available drug to serve this purpose, to date. In this study, we targeted IL-6Rα to inhibit IL-6Rα/gp130 interaction. The selection of the lead candidate L821 involved the amalgamation of three drug discovery approaches. This library was screened employing tertiary structure-based pharmacophore models followed by molecular docking models, scaffold-hopping, MM/PBSA as well as MM/GBSA analysis, and assessments of pKi and ADMET properties. After evaluating the binding interactions with key amino acids, 15 potential ligands were chosen, with the top ligand undergoing further investigation by means of molecular dynamics simulations. Considering the stability of the complexes, the strong interactions observed between ligand and residues of IL-6Rα/gp130, and the favorable binding free energy calculations, L821 emerged as the prime candidate for inhibiting IL-6Rα. Notably, L821 exhibited a docking-based binding affinity of -9.5 kcal/mol. Our study presents L821 as a promising inhibitor for future in vitro analysis, potentially combatting SARS-CoV-2-related cytokine storms and serving as an oncogenic drug therapy.

Deciphering the genetic landscape of obesity: a data-driven approach to identifying plausible causal genes and therapeutic targets

OBJECTIVES

Genome-wide association studies (GWAS) have successfully revealed numerous susceptibility loci for obesity. However, identifying the causal genes, pathways, and tissues/cell types responsible for these associations remains a challenge, and standardized analysis workflows are lacking. Additionally, due to limited treatment options for obesity, there is a need for the development of new pharmacological therapies. This study aimed to address these issues by performing step-wise utilization of knowledgebase for gene prioritization and assessing the potential relevance of key obesity genes as therapeutic targets.

METHODS AND RESULTS

First, we generated a list of 28,787 obesity-associated SNPs from the publicly available GWAS dataset (approximately 800,000 individuals in the GIANT meta-analysis). Then, we prioritized 1372 genes with significant in silico evidence against genomic and transcriptomic data, including transcriptionally regulated genes in the brain from transcriptome-wide association studies. In further narrowing down the gene list, we selected key genes, which we found to be useful for the discovery of potential drug seeds as demonstrated in lipid GWAS separately. We thus identified 74 key genes for obesity, which are highly interconnected and enriched in several biological processes that contribute to obesity, including energy expenditure and homeostasis. Of 74 key genes, 37 had not been reported for the pathophysiology of obesity. Finally, by drug-gene interaction analysis, we detected 23 (of 74) key genes that are potential targets for 78 approved and marketed drugs.

CONCLUSIONS

Our results provide valuable insights into new treatment options for obesity through a data-driven approach that integrates multiple up-to-date knowledgebases.

Toxic Epidermal Necrolysis and Stevens - Johnson Syndrome Following Sintilimab Administration in a Non-Small Cell Lung Cancer Patient: A Case Report

Immune checkpoint inhibitors such as monoclonal antibodies have been used recently with greater effect for the management of non-small cell lung cancer (NSCLC). Sintilimab, a fully human IgG4 monoclonal antibody is specific for the immune checkpoint protein programmed cell death receptor-1 (PD-1). It is a common medication adopted for treating Hodgkin's lymphoma and NSCLC. The adverse effects associated with the use of monoclonal antibodies should be closely monitored and in the current report, the use of sintilimab for treating NSCLC led to skin-associated adverse effects such as Stevens-Johnson syndrome and toxic epidermal necrolysis. Genetic testing showed that genes such as KRAS, CREBBP, NTRK1, RAF1, and TP53 were mutated. Initial visible symptom included the formation of a vesicular rash on the skin that had spread to the upper limbs, chest, and dorsum 1 week after the administration of sintilimab. The patient received anti-inflammatory agents to prevent worsening of the rashes and further infections. When the vesicles in back and limbs enlarged and the neck skin began to desquamate, the patient was diagnosed with Stevens-Johnson syndrome and sintilimab-induced toxic epidermal necrolysis. Toxic epidermal necrolysis was diagnosed via clinical symptoms and physical examination. The patient also reported the symptoms of oral mucositis. As soon as the dose of sintilimab was reduced to 20 mg/day, the skin-associated condition of the patient began to improve. Although the lump in the lungs decreased considerably 45 days after initial administration of sintilimab, the medication was stopped from use as soon as the skin-related symptoms improved after its withdrawal. This report suggests that close monitoring, personal care, and proper use of medications such as sintilimab should be implemented to avoid such rare skin-associated toxicities as an adverse effect.

Can medication increase the risk of falls? The importance of medication review

Falls are the second leading cause of unintentional injury deaths worldwide and are a major health issue for older people. One of the factors that can increase the risk of falls is medication. This article examines how medication can affect fall risk and how medication review can reduce the risk of falls.

Adverse Drug Reactions to Opioids: A Study in a National Pharmacovigilance Database

INTRODUCTION

Opioids are commonly used as analgesics; however, like any medicine, they can produce adverse drug reactions (ADRs), including nausea, constipation, dependence, and respiratory depression, that result in harmful and fatal events. Therefore, it is essential to monitor the safety of these drugs in clinical practice.

OBJECTIVE

This study aimed to characterize the safety profile of opioids by conducting a descriptive study based on a spontaneous reporting system (SRS) for ADRs in The Netherlands, focusing on abuse, misuse, medication errors, and differences between sexes.

METHODS

Reports submitted to the Netherlands Pharmacovigilance Centre Lareb from January 2003 to December 2021 with an opioid drug as the suspected/interacting medicine were analyzed. Reporting odds ratios (RORs) for drug-ADR combinations were calculated, analyzed, and corrected for sex and drug utilization (expenditure) for the Dutch population.

RESULTS

A total of 8769 reports were analyzed. Tramadol was the opioid with the most reports during the period (n = 2746), while oxycodone or tramadol had the highest number of reports per year in the study period. The most reported ADRs from opioid use were nausea, followed by dizziness and vomiting, independent of sex, and all of them were more often reported in women. Vomiting associated with tramadol (ROR females/males = 2.17) was significantly higher in women. Buprenorphine was responsible for most ADRs when corrected for expenditure, with high RORs observed with application site hypersensitivity, application site reaction, and application site rash. Fentanyl gave rise to most of the reports of ADRs concerning abuse, misuse, and medication errors.

CONCLUSION

Patients treated with opioids experienced ADRs, primarily nausea, dizziness, and vomiting. For those groups of drugs, no significant differences were found between the sexes, except for the vomiting associated with tramadol. In general, ADRs related to opioids presented higher RORs when uncorrected and corrected for sexes and expenditure than other drugs. There was more disproportionate reporting for ADRs concerning abuse, misuse, and medication errors for opioids than other drugs in the Dutch SRS.

Insight into Risk Factors, Pharmacogenetics/Genomics, and Management of Adverse Drug Reactions in Elderly: A Narrative Review

The European Medicine Agency (EMA) has defined Adverse Drug Reactions (ADRs) as "a noxious and unintended response to a medicine", not including poisoning, accidental, or intentional overdoses. The ADR occurrence differs based on the approach adopted for defining and detecting them, the characteristics of the population under study, and the research setting. ADRs have a significant impact on morbidity and mortality, particularly among older adults, and represent a financial burden for health services. Between 30% and 60% of ADRs might be predictable and preventable, emerging as a result of inappropriate prescription, drug chemistry inherent toxicity, cell-specific drug toxicity, age- and sex-related anomalies in drug absorption, distribution, metabolism, and elimination (ADME), and drug-drug interactions (DDIs) in combination therapies or when a patient is treated with different drugs for concomitant disorders. This is particularly important in chronic diseases which require long-term treatments. Rapid developments in pharmacogenetics/genomics have improved the understanding of ADRs accompanied by more accurate prescriptions and reduction in unnecessary costs. To alleviate the burden of ADRs, especially in the elderly, interventions focused on pharmaceutical principles, such as medication review and reconciliation, should be integrated into a broader assessment of patients' characteristics, needs, and health priorities. Digital health interventions could offer valuable solutions to assist healthcare professionals in identifying inappropriate prescriptions and promoting patient adherence to pharmacotherapies.

Adenylosuccinic Acid Is a Non-Toxic Small Molecule In Vitro and In Vivo

Adenylosuccinic acid (ASA) is a small molecule dicarboxylate that could be a strong clinical development candidate for inherited myopathies involving dysregulated purine nucleotide metabolism. Currently, there are no published pharmacokinetic/dynamic or toxicology data available, although 10-year clinical trial data on Duchenne muscular dystrophy patients suggests it is a chronically safe drug. In this study, we tested the toxicity of ASA to cultured myoblasts in vitro and its acute systemic toxicity in mice. ASA is a non-toxic small molecule with an LD50 > 5000 mg/kg. Some background necrotic foci in the liver, kidney and gastrointestinal tract were shown that are likely incidental but warrant follow-up sub-/chronic oral exposure studies.

Managing a Patient Presenting With Chest Pain and Gastrointestinal Complaints Using Dupilumab

Adverse drug reactions or adverse drug events account for a significant proportion of emergency department visits among children and adolescents. Unfortunately, rare reactions to medications may go unnoticed by clinicians due to a lack of reporting to drug surveillance and monitoring programs. We present the case of an 18-year-old male who visited the emergency department on two separate occasions after receiving dupilumab injections for his atopic dermatitis. Ten days prior to his presentation, he was evaluated in the emergency room for the onset of chest pain, five days following his first dupilumab injection. Investigations in the interim revealed no cardiac pathology. He presented with a complaint of severe abdominal pain associated with nausea and vomiting several hours after receiving his second dupilumab injection. Investigations for causes of acute gastrointestinal or anaphylactic reactions only revealed mild leukocytosis and hypokalemia. A definitive diagnosis of hypersensitivity reaction, such as anaphylaxis or serum-sickness-like reaction, could not be made at either emergency visit due to the lack of objective findings and few similar reported cases. However, the timing of each event made an adverse reaction highly suspicious as the inciting factor of this patient's symptoms. He received oral potassium, ketorolac, and ondansetron for headache and ongoing nausea respectively. He was discharged home within a few hours after his symptoms had resolved. The limited reports and evidence of these symptoms being associated with dupilumab injections made it difficult to reach a definitive diagnosis. However, a holistic review of the patient's history, medication list, and contextual factors revealed that a rare adverse drug reaction was a possible inciting factor on each separate occasion. Further research is required to determine the frequency and explore the existence of any causal relationship between dupilumab treatment and chest pain or gastritis in adolescent populations.

Efficacy, Safety, and Subject Satisfaction of PrabotulinumtoxinA for Moderate-to-Severe Crow's Feet: A Phase IV, Multicenter, Double-Blind, Randomized, Placebo-Controlled Trial

PrabotulinumtoxinA has been identified as an effective agent against crow's feet. Our study, which included Korean patients with moderate to severe crow's feet, was undertaken to compare the efficacy and safety of PrabotulinumtoxinA and placebo treatments. Of the 90 study participants, 60 received prabotulinumtoxinA (24 U), whereas 30 received a placebo. The primary outcome assessment included facial wrinkle grading by investigators. At week 4, 69.64% of patients in the prabotulinumtoxinA group exhibited minimal crow's feet severity; in contrast, a 0% improvement was observed in the placebo group (p < 0.0001). At week 12, the improvement rates were 30.36% for prabotulinumtoxinA and 6.90% for the placebo, demonstrating a significant difference (p = 0.0152). Based on the independent review panel's assessment at week 4, the improvement rate was 39.29% in the prabotulinumtoxinA group and 3.45% in the placebo group during maximum smiling. Additionally, patient satisfaction was notably higher in the prabotulinumtoxinA group (32.14%) than in the placebo group (10.34%) at week 4 (p = 0.0289). Both treatments displayed comparable safety profiles, with only mild local reactions reported as ADRs for one patient from the prabotulinumtoxinA group. Thus, prabotulinumtoxinA demonstrates significant potential as a potent and safe remedy for crow's feet.

Frequency, Predictors, and Outcomes of the Potential Drug-Drug Interactions in the ICUs of Teaching Hospitals in Ardabil, Northwest of Iran During 2019-2020

Introduction: Drug-drug interactions (DDIs) can reduce therapeutic efficacy and increase the duration and cost of hospitalization so that patients are sometimes exposed to significant complications and even death. Patients in the intensive care unit (ICU) are at higher risk of DDIs for a variety of reasons, including impaired absorption, decreased metabolism, and renal failure. The main objective of this study was to evaluate frequency, clinical ranking and risk factors of potential DDIs in the ICUs of 3 teaching hospitals in Ardabil. Methods: In this descriptive-analytical cross-sectional study, drug prescriptions 355 patients admitted to the ICUs were studied. Patient information including age, sex, diagnosis, number of prescribers, number of drugs, length of stay, and status of patients' discharge (recovery or death) were recorded and checked using the online software up to date and the book Drug Interaction Facts. Finally, the data were statistically analyzed using the SPSS software. Results: The number of patients studied was 355. The mean age of the patients were 51.88 ± 23.22 years, and on average, 8.45 drugs had been prescribed for each patient. The total number of DDIs was 1597 among which class X was 1.4%, class D was 26.2%, and class C was 67.7%. Four hundred ninety-seven unique pairs of DDIs were identified. Age, number of prescribed drugs and length of stay in ICU were associated with prevalence of DDIs. Age and number of drugs were also identified as the risk factors of patients' discharge caused by death. Conclusion: DDIs can complicate health state of patients in ICUs and may increase the length of hospital stay. Setting up computerized systems to alert drug interactions in hospital wards and pharmacotherapeutic intervention by clinical pharmacist can minimize DDIs.

Machine-learning-based adverse drug event prediction from observational health data: A review

Adverse drug events (ADEs) are responsible for a significant number of hospital admissions and fatalities. Machine learning models have been developed to assess the individual patient risk of having an ADE. In this article, we have reviewed studies addressing the prediction of ADEs in observational health data with machine learning. The field of individualised ADE prediction is rapidly emerging through the increasing availability of additional data modalities (e.g., genetic data, screening data, wearables data) and advanced deep learning models such as transformers. Consequently, personalised adverse drug event predictions are becoming more feasible and tangible.

Intensive care drug therapy and its potential adverse effects on blood pressure and heart rate in critically ill children

BACKGROUND

Owing to complex treatment, critically ill children may experience alterations in their vital parameters. We investigated whether such hemodynamic alterations were temporally and causally related to drug therapy.

METHODS

In a university pediatric intensive care unit, we retrospectively analyzed hemodynamic alterations defined as values exceeding the limits set for heart rate (HR) and blood pressure (BP). For causality assessment, we used the World Health Organization-Uppsala Monitoring Center (WHO-UMC) system, which categorizes the probability of causality as "certain," "probable," "possible," and "unlikely."

RESULTS

Of 315 analyzed patients with 43,200 drug prescriptions, 59.7% experienced at least one hemodynamic alteration; 39.0% were affected by increased HR, 19.0% by decreased HR, 18.1% by increased BP, and 16.2% by decreased BP. According to drug information databases, 83.9% of administered drugs potentially lead to hemodynamic alterations. Overall, 88.3% of the observed hemodynamic alterations had a temporal relation to the administration of drugs; in 80.2%, more than one drug was involved. Based on the WHO-UMC system, a drug was rated as a "probable" causing factor for only 1.4% of hemodynamic alterations. For the remaining alterations, the probability ratings were lower because of multiple potential causes, e.g., several drugs.

CONCLUSIONS

Critically ill children were frequently affected by hemodynamic alterations. The administration of drugs with potentially adverse effects on hemodynamic parameters is often temporally related to hemodynamic alterations. Hemodynamic alterations are often multifactorial, e.g., due to administering multiple drugs in rapid succession; thus, the influence of individual drugs cannot easily be captured with the WHO-UMC system.

Temporal profile of adverse drug reactions and associated clinical factors: a prospective observational study in a neonatal intensive care unit

OBJECTIVE

Although adverse drug reactions (ADRs) are quite common in hospitalised neonates, pharmacovigilance activities in this public are still incipient. This study aims to characterise ADRs in neonates in a neonatal intensive care unit (NICU), identifying causative drugs, temporal profile and associated factors.

DESIGN

Prospective observational study.

SETTING

NICU of a public maternity hospital in Natal/Brazil.

PARTICIPANTS

All neonates admitted to the NICU for more than 24 hours and using at least one medication were followed up during the time of hospitalisation.

PRIMARY OUTCOME MEASURES

Incidence rate and risk factors for ADRs. The ADRs were detected by an active search in electronic medical records and analysis of spontaneous reports in the hospital pharmacovigilance system.

RESULTS

Six hundred neonates were included in the study, where 118 neonates had a total of 186 ADRs. The prevalence of ADRs at the NICU was 19.7% (95% CI 16.7% to 23.0%). The most common ADRs were tachycardia (30.6%), polyuria (9.1%) and hypokalaemia (8.6%). Tachycardia (peak incidence rate: 57.1 ADR/1000 neonates) and hyperthermia (19.1 ADR/1000 neonates) predominated during the first 5 days of hospitalisation. The incidence rate of polyuria and hypokalaemia increased markedly after the 20th day, with both reaching a peak of 120.0 ADR/1000 neonates. Longer hospitalisation time (OR 0.018, 95% CI 0.007 to 0.029; p<0.01) and number of prescribed drugs (OR 0.127, 95% CI 0.075 to 0.178; p<0.01) were factors associated with ADRs.

CONCLUSION

ADRs are very common in NICU, with tachycardia and hyperthermia predominant in the first week of hospitalisation and polyuria and hypokalaemia from the third week onwards.

The Role of Social Media for Identifying Adverse Drug Events Data in Pharmacovigilance: Protocol for a Scoping Review

BACKGROUND

Adverse drug events (ADEs) are a considerable public health burden resulting in disability, hospitalization, and death. Even those ADEs deemed nonserious can severely impact a patient's quality of life and adherence to intervention. Monitoring medication safety, however, is challenging. Social media may be a useful adjunct for obtaining real-world data on ADEs. While many studies have been undertaken to detect adverse events on social media, a consensus has not yet been reached as to the value of social media in pharmacovigilance or its role in pharmacovigilance in relation to more traditional data sources.

OBJECTIVE

The aim of the study is to evaluate and characterize the use of social media in ADE detection and pharmacovigilance as compared to other data sources.

METHODS

A scoping review will be undertaken. We will search 11 bibliographical databases as well as Google Scholar, hand-searching, and forward and backward citation searching. Records will be screened in Covidence by 2 independent reviewers at both title and abstract stage as well as full text. Studies will be included if they used any type of social media (such as Twitter or patient forums) to detect any type of adverse event associated with any type of medication and then compared the results from social media to any other data source (such as spontaneous reporting systems or clinical literature). Data will be extracted using a data extraction sheet piloted by the authors. Important data on the types of methods used (such as machine learning), any limitations of the methods used, types of adverse events and drugs searched for and included, availability of data and code, details of the comparison data source, and the results and conclusions will be extracted.

RESULTS

We will present descriptive summary statistics as well as identify any patterns in the types and timing of ADEs detected, including but not limited to the similarities and differences in what is reported, gaps in the evidence, and the methods used to extract ADEs from social media data. We will also summarize how the data from social media compares to conventional data sources. The literature will be organized by the data source for comparison. Where possible, we will analyze the impact of the types of adverse events, the social media platform used, and the methods used.

CONCLUSIONS

This scoping review will provide a valuable summary of a large body of research and important information for pharmacovigilance as well as suggest future directions of further research in this area. Through the comparisons with other data sources, we will be able to conclude the added value of social media in monitoring adverse events of medications, in terms of type of adverse events and timing.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/47068.

Hospitalisations Related to Adverse Drug Reactions in Switzerland in 2012-2019: Characteristics, In-Hospital Mortality, and Spontaneous Reporting Rate

INTRODUCTION

Adverse drug reactions (ADRs) contribute to morbidity, and serious ADRs may cause hospitalisation and death. This study characterises and quantifies ADR-related hospitalisations and subsequent in-hospital deaths, and estimates the spontaneous reporting rate to regulatory authorities in Switzerland, where healthcare professionals are legally obliged to report ADRs.

METHODS

This retrospective cohort study from 2012 to 2019 analysed nationwide data from the Federal Statistical Office. ICD-10 coding rules identified ADR-related hospitalisations. To estimate the reporting rate, individual case safety reports (ICSRs) collected in the Swiss spontaneous reporting system during the same period were considered.

RESULTS

Among 11,240,562 inpatients, 256,550 (2.3%) were admitted for ADRs, 132,320 (51.6%) were female, 120,405 (46.9%) were aged ≥ 65 (median of three comorbidities, interquartile range [IQR] 2-4), and 16,754 (6.5%) were children/teenagers (0 comorbidities, IQR 0-1). Frequent comorbidities were hypertension (89,938 [35.1%]), fluid/electrolyte disorders (54,447 [21.2%]), renal failure (45,866 [17.9%]), cardiac arrhythmias (37,906 [14.8%]), and depression (35,759 [13.9%]). Physicians initiated 113,028 (44.1%) of hospital referrals, and patients/relatives 73,494 (28.6%). Frequently ADR-affected were the digestive system (48,219 [18.8%], e.g. noninfective gastroenteritis and colitis), the genitourinary system (39,727 [15.5%], e.g. acute renal failure), and the mental/behavioural state (39,578 [15.4%], e.g. opioid dependence). In-hospital mortality was 2.2% (5669). Since ICSRs indicated 14,109 hospitalisations and 700 in-hospital deaths, estimated reporting rates were 5% and 12%, respectively.

CONCLUSIONS

This 8-year observation in Switzerland revealed that 2.3%, or roughly 32,000 admissions per year, were caused by ADRs. The majority of ADR-related admissions were not reported to the regulatory authorities, despite legal obligations.