Analysis of anticholinergic drugs associated with aspiration pneumonia using the Japanese adverse drug event report database: Supplementary insights from a scoping review.

BACKGROUND: Japan's super-aged society presents significant challenges, particularly with regard to managing aspiration pneumonia among older adults. We aimed to investigate the link between anticholinergic drug use and the incidence of aspiration pneumonia, primarily utilizing data from the Japanese Adverse Drug Event Report (JADER) database. METHODS: The primarily analysis included JADER data from the first quarter of 2004 through the third quarter of 2023, focusing on 2367 cases of aspiration pneumonia in individuals aged ≥60 years. The study examined the association of aspiration pneumonia with 49 drugs listed in the Anticholinergic Risk Scale, using the Reporting Odds Ratio for signal detection. A scoping review incorporating findings from MEDLINE and the Cochrane Library was conducted to validate these associations. RESULTS: The primary analysis identified an increased risk of aspiration pneumonia associated with specific drugs, including clozapine, haloperidol, risperidone, quetiapine, and olanzapine. A total of 20 drugs were significantly associated with an increased risk of aspiration pneumonia. Our results emphasize the importance of considering the dopamine-blocking effects of these drugs, particularly in at-risk populations, such as older adults, and those with conditions, such as schizophrenia or Parkinson's disease. CONCLUSIONS: The study highlights the importance of careful monitoring of anticholinergic drugs with potent dopamine-blocking effects, such as clozapine, haloperidol, risperidone, quetiapine, and olanzapine, to reduce the risk of aspiration pneumonia. Future research should include observational and interventional studies to further investigate these findings. ETHICS AND DISSEMINATION: As this study utilized pre-existing anonymized information, approval from an ethics committee was not required.

Potential deprescribing indications for antidepressants between 2012 and 2019: repeated cross-sectional analysis in two Scottish health boards.

BACKGROUND: Antidepressants have a pivotal role in the treatment of many psychiatric disorders, but there are concerns about long-term use and adverse effects. The objectives of this study were (1) to examine time trends in antidepressant use, (2) to estimate the prevalence of long-term and potential high-risk antidepressant use, and (3) to examine patient characteristics associated with potential deprescribing indications (PDIs) (i.e., simultaneous long-term and potential high-risk antidepressant use). METHODS: Repeated population-based cross-sectional study for all 609,299 people aged ≥ 18 years resident in the Tayside or Fife regions of Scotland. The prevalence of antidepressant use was examined on June 30th (index date) of each year from 2012 to 2019, while the prevalence of long-term and potential high-risk use as well as PDIs was assessed and compared on the same dates in 2012 and 2019. Binary logistic regression modeling was used to examine patient characteristics associated with PDIs. RESULTS: Antidepressant use increased by 27% from 12.0 to 15.3% among adult residents between 2012 and 2019. While the proportion of antidepressants users dispensed ≥ 1 antidepressant for > 2 years increased from 54.3 to 61.9% between 2012 and 2019, the proportion of antidepressant users triggering ≥ 1 indicator of potential high-risk use decreased slightly from 37.9 to 34.7%. In 2019, potential high-risk use most commonly related to indicators targeting fall risk (16.0%), cardiovascular risks (14.1%), insomnia (10.6%), and risk of orthostatic hypotension (8.6%). More than 1 in 4 (25.8%) antidepressant users had PDIs. The main risk factors associated with PDIs included increasing age (65-79, adjusted OR 14.12; 95% CI, 13.15-15.17), increasing number of drugs taken concomitantly (≥ 15 drugs, adjusted OR 7.37; 95% CI, 6.71-8.10), use of tricyclic antidepressants (≥ 50 mg) (adjusted OR 5.49; 95% CI, 5.02-6.01), and concomitant use of ≥ 2 antidepressants (adjusted OR 5.52; 95% CI, 5.20-5.85). CONCLUSIONS: Long-term and potential high-risk use of antidepressants is widespread, and potential deprescribing indications (PDIs) are increasing, suggesting the need for a critical review of their ongoing use by clinicians. If deemed necessary, future deprescribing interventions may use the criteria applied here for identification of patients with PDIs and for evaluating intervention effectiveness.

A Precision Mixture Risk Model to Identify Adverse Drug Events in Subpopulations Using a Case-Crossover Design.

Despite the success of pharmacovigilance studies in detecting signals of adverse drug events (ADEs) from real-world data, the risks of ADEs in subpopulations warrant increased scrutiny to prevent them in vulnerable individuals. Recently, the case-crossover design has been implemented to leverage large-scale administrative claims data for ADE detection, while controlling both observed confounding effects and short-term fixed unobserved confounding effects. Additionally, as the case-crossover design only includes cases, subpopulations can be conveniently derived. In this manuscript, we propose a precision mixture risk model (PMRM) to identify ADE signals from subpopulations under the case-crossover design. The proposed model is able to identify signals from all ADE-subpopulation-drug combinations, while controlling for false discovery rate (FDR) and confounding effects. We applied the PMRM to an administrative claims data. We identified ADE signals in subpopulations defined by demographic variables, comorbidities, and detailed diagnosis codes. Interestingly, certain drugs were associated with a higher risk of ADE only in subpopulations, while these drugs had a neutral association with ADE in the general population. Additionally, the PMRM could control FDR at a desired level and had a higher probability to detect true ADE signals than the widely used McNemar's test. In conclusion, the PMRM is able to identify subpopulation-specific ADE signals from a tremendous number of ADE-subpopulation-drug combinations, while controlling for both FDR and confounding effects.

Patterns of hormonal changes in hypophysitis by immune checkpoint inhibitor.

BACKGROUND/AIMS: Immune checkpoint inhibitors (ICIs) can induce immune-related adverse events, including endocrine dysfunctions, which can have serious consequences on patient health and quality of life. The clinical course and characteristics of immune-related hypophysitis (irH) are not well established. This study aimed to analyze the clinical course and characteristics of irH. METHODS: This single-center, retrospective study analyzed data from electronic medical records of Asan Medical Center, spanning January 2017 through June 2021. It included adult patients with solid tumors who underwent thyroid and adrenal function tests, along with gonadotropin and/or growth hormone evaluations, following the initiation of ICI treatment within the same period. The study explored the clinical characteristics of ICI-treated patients with and without irH, the incidence of irH, the time to irH onset, and the associated hormonal changes. RESULTS: Twenty-one patients were included in this analysis. Clinical characteristics did not differ significantly between the irH (n = 13) and non-irH (n = 8) groups. Deficiency rates in the irH group were 23.1% for thyroid-stimulating hormone (n = 3), 76.9% for adrenocorticotropic hormone (n = 10), 61.5% for gonadotropin (n = 8), and 15.4% for growth hormone (n = 2). The overall incidence was 0.9 per person-year, with 6-month and 1-year cumulative incidences of 38.8% and 57.1%, respectively. The median time from ICI initiation to irH diagnosis was 7.7 months. Time to levothyroxine replacement was shorter in the irH group. CONCLUSION: The findings provide evidence that could facilitate the prediction of ICI-induced irH based on clinical course and characteristics.

Exploring the top 30 drugs associated with drug-induced constipation based on the FDA adverse event reporting system.

Objective: This project aims to identify the top 30 drugs most commonly associated with constipation and their signal values within the FDA Adverse Event Reporting System database. Methods: We extracted adverse drug events (ADEs) related to constipation from the FAERS database spanning from January 1, 2004, to September 30, 2023. We compiled the 30 most frequently reported drugs based on the frequency of constipation events. We employed signal detection methodologies to ascertain whether these drugs elicited significant signals, including reporting odds ratio, proportional reporting ratio, multi-item gamma Poisson shrinker, and information component given by the Bayesian confidence propagation neural network. Furthermore, we conducted a time-to-onset (TTO) analysis for drugs generating significant signals using the medians, quartiles, and the Weibull shape parameter test. Results: We extracted a total of 50, 659, 288 ADEs, among which 169,897 (0.34%) were related to constipation. We selected and ranked the top 30 drugs. The drug with the highest ranking was lenalidomide (7,730 cases, 4.55%), with the most prevalent drug class being antineoplastic and immunomodulating agents. Signal detection was performed for the 30 drugs, with constipation risk signals identified for 26 of them. Among the 26 drugs, 22 exhibited constipation signals consistent with those listed on the FDA-approved drug labels. However, four drugs (orlistat, nintedanib, palbociclib, and dimethyl fumarate) presented an unexpected risk of constipation. Ranked by signal values, sevelamer carbonate emerged as the drug with the strongest risk signal [reporting odds ratio (95% CI): 115.51 (110.14, 121.15); PRR (χ2): 83.78 (191,709.73); EBGM (EB05): 82.63 (79.4); IC (IC025): 6.37 (4.70)]. A TTO analysis was conducted for the 26 drugs that generated risk signals, revealing that all drugs exhibited an early failure type. The median TTO for orlistat was 3 days, the shortest of all the drugs, while the median TTO for clozapine was 1,065 days, the longest of all the drugs. Conclusion: Our study provides a list of drugs potentially associated with drug-induced constipation (DIC). This could potentially inform clinicians about some alternative medications to consider when managing secondary causes of constipation or caring for patients prone to DIC, thereby reducing the incidence and mortality associated with DIC.

Data mining and safety analysis of dual orexin receptor antagonists (DORAs): a real-world pharmacovigilance study based on the FAERS database.

Objective: Using the Food and Drug Administration Adverse Event Reporting System (FAERS) database, four signal detection methods were applied to mine adverse drug events (ADEs) related to use of dual orexin receptor antagonists (DORAs) to provide reference for safe clinical use. Research design and Methods: Data collected from Q3rd 2014 to Q4th 2023 were obtained from the FAERS database. According to the preferred terminology (PT) and systematic organ classification (SOC) of MedDRA v.26.0, the reporting odds ratio (ROR), proportional reporting ratio (PRR), multi-item gamma Poisson shrinker (MGPS), and Bayesian confidence propagation neural network (BCPNN) were used to detect ADE signals. Results: A total of 11,857 DORAs-related adverse reactions were detected, reported with suvorexant, lemborexant, and daridorexant as the main suspected drugs was 8717584, and 2556, respectively. A higher proportion of females than males were reported (57.27% vs. 33.04%). The top 20 positive PT signals from three DORAs showed that "sleep paralysis" ranked first. "Brain fog" was stronger following daridorexant but was not detected for the other two drugs, and "sleep sex" and "dyssomnia" were stronger in suvorexant but not in the other two drugs. Additionally, some PTs occurred that were not included in drug instructions, such as "hangover" and "hypnagogic hallucination." Conclusion: In this study, four algorithms (ROR, PRR, BCPNN, and MGPS) were used to mine the safety signals of DORAs. We identified some potential ADE signals that can promote the rational use of DORAs and improve their safety.

Identification of risk factors for adverse drug events in a general hospital.

Adverse events (AEs), and particularly adverse drug events (ADEs), represent a health problem as they can cause permanent damage or death. Understanding the frequency, location, and causes of ADEs can prevent harm to patients. The Global Trigger Tool, produced by the Institute for Healthcare Improvement (GTT/IHI), is widely used to identify AEs. Recognizing the profile of patients who suffer ADEs can reveal clinical or individual characteristics that predispose to the occurrence of AEs. A cross-sectional study was carried out through a retrospective analysis of 120 medical charts of patients discharged from hospital between October 2020 and April 2021. Patients over 18 years old, with a length of stay of more than 24 h, were included. The list of triggers used was from the medication module of the GTT/IHI, which was adapted for use in the institution. Two primary reviewers and a medical reviewer applied this tool. The primary reviewers independently assessed the randomized charts. A meeting to achieve consensus among the reviewers was held every 2 weeks to validate the identified ADEs; classifications were based on harm severity. Multivariate logistic regression was utilized to assess the variables that predicted the occurrence of ADEs, using the backward stepwise method. A total of 43 ADEs were identified, with a frequency of 36 per 100 admissions (43/120). Of these, five ADEs (12%) were responsible for patients being admitted to hospital. In the case of in-hospital ADEs, there were 42.2 per 1000 patients/day. The clinical manifestation of altered kidney function (16%) and the anatomical drug group of the nervous system (33%) were the most frequent ADEs. The multivariate logistic regression model was significant (×2 = 44.960, P < .001), indicating that factors such as: known drug allergy [odds ratio 5.728; 95% confidence interval (CI): 1.249, 26.274, P = .025]; being clinically hospitalized (odds ratio 7.504; 95% CI: 1.654, 34.037; P = .009); number of medicines used (odds ratio 1.100; 95% CI: 1.054, 1.148; P < .001); and being under the care of internal medicine (odds ratio 3.633; 95% CI: 1.257, 10.511; P = .017) were predictor variables associated with the occurrence of ADEs. A significant percentage of hospitalized patients experienced at least one ADE, with rates surpassing those found in similar studies. The GTT/IHI effectively assessed medication-related harm, emphasizing the need for tailored triggers based on population characteristics. Predictor variables can inform preventive strategies. Overall, the tool facilitated a localized risk assessment of medication use.

Active monitoring of antifungal adverse events in hospitalized patients based on Global Trigger Tool method.

Background: The increasing prevalence of fungal infections necessitates broader use of antifungal medications. However, the prevalence of adverse drug events (ADEs) restricts their clinical application. This study aimed to develop a reliable ADEs trigger for antifungals to enable proactive ADEs monitoring, serving as a reference for ADEs prevention and control. Methods: This investigation comprises two phases. Initially, the trigger was established via a literature review, extraction of relevant items, and refinement through Delphi expert consultation. Subsequently, the validity of the trigger was assessed by analyzing hospital records of antifungal drug users from 1 January 2019 to 31 December 2020. The correlation between each trigger signal and ADEs occurrence was examined, and the sensitivity and specificity of the trigger were evaluated through the spontaneous reporting system (SRS) and Global Trigger Tool (GTT). Additionally, risk factors contributing to adverse drug events (ADEs) resulting from antifungal use were analyzed. Results: Twenty-one preliminary triggers were refined into 21 final triggers after one expert round. In the retrospective analysis, the positive trigger rate was 65.83%, with a positive predictive value (PPV) of 28.75%. The incidence of ADEs in inpatients was 28.75%, equating to 44.58 ADEs per 100 admissions and 33.04 ADEs per 1,000 patient days. Predominant ADEs categories included metabolic disturbances, gastrointestinal damage, and skin rashes. ADEs severity was classified into 36 cases at grade 1, 160 at grade 2, and 18 at grade 3. The likelihood of ADEs increased with longer stays, more positive triggers, and greater comorbidity counts. Conclusion: This study underscores the effectiveness of the GTT in enhancing ADEs detection during antifungal medication use, thereby confirming its value as a monitoring tool.

Evidence-based expert consensus on clinical management of safety of Bruton's tyrosine kinase inhibitors (2024).

Bruton's tyrosine kinase inhibitors (BTKis) have revolutionized the treatment of B-cell lymphomas. However, safety issues related to the use of BTKis may hinder treatment continuity and further affect clinical efficacy. A comprehensive and systematic expert consensus from a pharmacological perspective is lacking for safety issues associated with BTKi treatment. A multidisciplinary consensus working group was established, comprising 35 members from the fields of hematology, cardiovascular disease, cardio-oncology, clinical pharmacy, and evidence-based medicine. This evidence-based expert consensus was formulated using an evidence-based approach and the Delphi method. The Joanna Briggs Institute Critical Appraisal (JBI) tool and Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach were used to rate the quality of evidence and grade the strength of recommendations, respectively. This consensus provides practical recommendations for BTKis medication based on nine aspects within three domains, including the management of common adverse drug events such as bleeding, cardiovascular events, and hematological toxicity, as well as the management of drug-drug interactions and guidance for special populations. This multidisciplinary expert consensus could contribute to promoting a multi-dimensional, comprehensive and standardized management of BTKis.

KG-LIME: predicting individualized risk of adverse drug events for multiple sclerosis disease-modifying therapy.

OBJECTIVE: The aim of this project was to create time-aware, individual-level risk score models for adverse drug events related to multiple sclerosis disease-modifying therapy and to provide interpretable explanations for model prediction behavior. MATERIALS AND METHODS: We used temporal sequences of observational medical outcomes partnership common data model (OMOP CDM) concepts derived from an electronic health record as model features. Each concept was assigned an embedding representation that was learned from a graph convolution network trained on a knowledge graph (KG) of OMOP concept relationships. Concept embeddings were fed into long short-term memory networks for 1-year adverse event prediction following drug exposure. Finally, we implemented a novel extension of the local interpretable model agnostic explanation (LIME) method, knowledge graph LIME (KG-LIME) to leverage the KG and explain individual predictions of each model. RESULTS: For a set of 4859 patients, we found that our model was effective at predicting 32 out of 56 adverse event types (P < .05) when compared to demographics and past diagnosis as variables. We also assessed discrimination in the form of area under the curve (AUC = 0.77 ± 0.15) and area under the precision-recall curve (AUC-PR = 0.31 ± 0.27) and assessed calibration in the form of Brier score (BS = 0.04 ± 0.04). Additionally, KG-LIME generated interpretable literature-validated lists of relevant medical concepts used for prediction. DISCUSSION AND CONCLUSION: Many of our risk models demonstrated high calibration and discrimination for adverse event prediction. Furthermore, our novel KG-LIME method was able to utilize the knowledge graph to highlight concepts that were important to prediction. Future work will be required to further explore the temporal window of adverse event occurrence beyond the generic 1-year window used here, particularly for short-term inpatient adverse events and long-term severe adverse events.

Feeling blue to seeing red: A case of escitalopram-induced epistaxis.

Selective serotonin reuptake inhibitors are associated with an increased risk of bleeding, most commonly intracranial and gastric bleeding, especially in conjunction with anticoagulant use. Although uncommon, escitalopram is associated with epistaxis in a dose-dependent manner. Dosage reduction may be sufficient in management.

Compartment syndrome associations with drugs: a pharmacovigilance study of the FDA adverse event reporting system (FAERS).

BACKGROUND: Compartment syndrome is an uncommon but life-threatening condition. No study has comprehensively compared compartment syndrome (CS) association with available drugs. The objective of this study was to estimate the association between CS and drugs using the FDA Adverse Event Report System (FAERS). RESEARCH DESIGN AND METHODS: FAERS reports from the first quarter of 2004 to the third quarter of 2023 were analyzed. The Medical Dictionary for Regulatory Activities (MedDRA) was used to identify CS cases. Reporting odds ratio (ROR), corresponding to 95% confidence intervals (95% CI) were calculated to detect a positive signal. RESULTS: A total of 2197 reports were considered in the study after the inclusion criteria were applied. Totally 100 drugs were found to be associated with CS. The median time for drug-associated CS was 45 days. CONCLUSIONS: By analyzing the FAERS database, the study revealed that certain drugs are significantly associated with compartment syndrome. Further studies are needed to verify whether these drugs are associated with such a risk.

Comparing the adverse effects of ketamine and esketamine between genders using FAERS data.

Background: Ketamine was developed as an anesthetic. Esketamine is the isolated S-enantiomer of racemic ketamine. They provide new avenues for the treatment of depression, especially treatment-resistant depression. Considering differences in the pharmacokinetics and hormonal status of ketamine in patients of different genders, sex-based differences in esketamine adverse drug events (ADE) may also be observed. This study presents data mining and safety analysis of adverse events of ketamine and esketamine between genders, promoting the individualization of clinical practice. Methods: Adverse drug reactions to ketamine and esketamine reported between the first quarter of 2004 and the second quarter of 2023 in the U.S. Food and Drug Administration on Adverse Event Reporting System (FAERS) were extracted. Thereafter, the reporting odds ratio (ROR) with 95% confidence interval (CI) was calculated. Results: A total of 2907 female reports and 1634 male reports on esketamine were included in the analysis. ROR mining showed that completed suicide, decreased therapeutic product effects, urinary retention, and hypertension were common in men. Additionally, 552 female and 653 male ketamine reports were recorded. ROR mining revealed that toxicity to various agents, bradycardia, cystitis and agitation, were more likely to occur in men, whereas women were more likely to develop suicidal ideation, increased transaminase levels, sclerosing cholangitis, and sterile pyuria. Conclusion: The adverse events of esketamine and ketamine differ across genders, which should be considered in clinical practice to provide individualized treatment.

Unveiling the adverse events of Nusinersen in spinal muscular atrophy management based on FAERS database.

This study aims to collect and analyze adverse event (AE) reports related to Nusinersen from the FAERS database. The study employed a combination of signal quantification techniques, including the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS), to enhance the accuracy of signal detection and reduce the risk of false positives or negatives. Between the first quarter of 2017 and the third quarter of 2023, the FAERS database collected a total of 11,485,105 drug AE reports, of which 5772 were related to Nusinersen. Through signal mining analysis, 218 preferred term (PT) signals involving 27 system organ classes (SOCs) were identified. The study discovered AEs related to metabolism and nutrition disorders, psychiatric disorders, and cardiac disorders SOCs, which were not mentioned in the product information. Additionally, complications directly related to the intrathecal administration of Nusinersen, such as increased CSF pressure, positive CSF red blood cell count, and AEs related to the method of drug use, such as neuromuscular scoliosis and cerebrospinal fluid reservoir placement, were highlighted. Notably, AEs related to renal function abnormalities, such as abnormal Urine protein/creatinine ratio and protein urine presence, showed higher frequency and signal strength. The findings of this study emphasize the importance of comprehensive safety monitoring in the clinical application of Nusinersen. These results are significant for guiding future clinical practices, improving disease management strategies, and developing safer treatment protocols.

The Effects of Dexmedetomidine on Pain-Related Outcomes in Craniotomy: A Systematic Review and Meta-Analysis.

BACKGROUND: Craniotomy is associated with several undesirable effects including postoperative pain. This systematic review and meta-analysis aimed to evaluate evidence on the efficacy and safety of dexmedetomidine (DEX) for pain management in patients undergoing craniotomy. METHODS: We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The protocol was registered in Open Science Framework. We searched for existing randomized controlled studies published before June 2023 that used DEX during the perioperative period in craniotomy in PubMed, Scopus, and the Cochrane Library. A meta-analysis was conducted in RevMan. Cochrane RoB2 and GRADE were used for quality assessment. RESULTS: A total of 19 randomized controlled trials comprising 3153 patients were included. Pain intensity was lower in the DEX group than the control group at a mean difference [95% confidence interval] of -0.64 [-1.16, -0.13], P-value = 0.01. The DEX group overall consumed less opioids in comparison with the control group at a mean difference = -4.00 [-6.16, -1.83], P value = 0.0003. However, heterogeneity was considerable for both outcomes (I2 = 81% and I2 = 96%, respectively). There was no difference between the DEX and control groups in the time to first postanalgesic requirement, hypertension, hypotension, or cough. CONCLUSIONS: The results showed that the use of DEX was associated with lower pain intensity and less opioid use. Patients in the DEX group experienced fewer episodes of nausea and vomiting, agitation, and shivering but more episodes of bradycardia. There was no difference between DEX and control groups in other adverse events.

Adverse drug events associated with fluorouracil use in patients with metastatic colorectal cancer: a real-world pharmacovigilance study based on the FDA adverse event reporting system.

BACKGROUND: Fluorouracil (5-FU) is widely used to treat metastatic colorectal cancer (mCRC), but real-world safety data is limited. Our study aimed to evaluate 5-FU's safety profile in a large mCRC population using the FAERS database. RESEARCH DESIGN AND METHODS: We conducted disproportionality analyses to identify adverse drug events associated with 5-FU use in mCRC patients from 2004 to 2023. Subgroup analyses, gender difference analyses, and logistic regression were also performed. RESULTS: We identified 1,458 reports with 5-FU as the primary suspected drug, with males accounting for 48.8% of reports. Gastrointestinal disorders were the most common adverse event (864 cases), while pregnancy-related conditions showed the strongest signal intensity (ROR = 2.97). We found 19 preferred terms with positive signals, including ischemic hepatitis (ROR = 59.32), blood iron increased (ROR = 59.32), and stress cardiomyopathy (ROR = 51.94). Males were more susceptible to weight loss and skin toxicity. Most adverse events occurred within the first month of 5-FU administration. CONCLUSION: Our study provides a comprehensive analysis of 5-FU's safety profile in mCRC patients, helping healthcare professionals mitigate risks in clinical practice.

Variation of adverse drug events in different settings in Africa: a systematic review.

BACKGROUND: Adverse drug events (ADEs) represent challenges affecting Africa's healthcare systems owing to the increased healthcare expenditure and negative health outcomes of ADEs. OBJECTIVES: We aimed to systematically review published studies on ADEs and synthesize the existing evidence of ADE prevalence in Africa. METHODS: Studies reporting on ADE occurrence in African settings and published from Jan 1, 2000 to Oct 1, 2023 were identified by searching PubMed, EBSCO, Science Direct, and Web of Science. Studies that either articulately investigated ADEs caused by clinical condition (such as HIV patients) or ADEs caused by exposure to specific drug(s) (such as antibiotics) were considered specific and the remaining were general. Grouped ADE prevalence rates were described using median and interquartile range (IQR). PROSPERO registration (CRD42022374095). RESULTS: We included 78 observational studies from 15 African countries that investigated the prevalence of ADEs leading to hospital admissions (17 studies), developed during hospitalizations (30 studies), and captured in the outpatient departments (38 studies) or communities (4 studies). Twelve studies included multiple settings. The median prevalence of ADE during hospitalization was 7.8% (IQR: 4.2-21.4%) and 74.2% (IQR: 54.1-90.7%) in general and specific patients, respectively. The ADE-related fatality rate was 0.1% and 1.3% in general and specific patients. The overall median prevalence of ADEs leading to hospital admissions was 6.0% (IQR: 1.5-9.0%); in general, patients and the median prevalence of ADEs in the outpatient and community settings were 22.9% (IQR: 14.6-56.1%) and 32.6% (IQR: 26.0-41.3%), respectively, with a median of 43.5% (IQR: 16.3-59.0%) and 12.4% (IQR: 7.1-28.1%) of ADEs being preventable in general and specific patients, respectively. CONCLUSIONS: The prevalence of ADEs was significant in both hospital and community settings in Africa. A high ADE prevalence was observed in specific patients, emphasizing important areas for improvement, particularly in at-risk patient groups (e.g., pediatrics, HIV, and TB patients) in various settings. Due to limited studies conducted in the community setting, future research in this setting is encouraged.

Adverse drug reactions in neonates: a brief analysis of the FDA adverse event reporting system.

Introduction: Drug trials in neonates are scarce, and the neonates may consequently be at risk of adverse drug reactions (ADRs). Spontaneous ADR reporting is an important tool for expanding the knowledge on drug safety in neonates. This study explores the quality of current neonatal ADR reports and the ADR reports of the most common drugs used in neonatal departments. Methods: An observational cross-sectional study focused on neonates was conducted using data on spontaneous reports extracted from the U.S. Food and Drug Administration Adverse Events Reporting System (FAERS) from the third quarter of 2014 up to December 2022. Only the primary suspect drugs given to neonates or subjects aged <30 days were included in the analysis. Results: Spontaneous reports from 13 million patients of all ages, totaling 50 million ADRs, were evaluated. Information regarding the age was missing in 40% of the reports, and data on 43,737 neonates with 948 different suspected drugs were identified and included in the analysis. We report the frequency of spontaneous ADR reports in the FAERS database for the ten most frequently administered drugs in neonatal intensive care units in the USA. Conclusion: Overall, neonatal ADRs are still underreported. The FAERS database in its current form discriminates insufficiently between prenatal and postnatal drug exposures. Hence, improved neonatal pharmacovigilance systems are urgently needed.

Safety evaluation of bempedoic acid: A pharmacovigilance analysis using FDA adverse event reporting system data.

BACKGROUND: Bempedoic acid exhibits promising potential in hyperlipidemia therapy and preventing cardiovascular events. However, investigations into its adverse drug reactions remain scant. This study seeks to utilize data mining techniques with the FDA Adverse Event Reporting System (FAERS) database to assess adverse drug events (ADEs) linked to bempedoic acid. METHODS: Based on the drug's market release timeline, we extracted data from the FAERS database covering the fourth quarter of 2020 through the fourth quarter of 2023 for disproportionality analysis. RESULTS: This study gathered a total of 5,797,543 adverse event case reports, of which 735 were linked to bempedoic acid. These reports covered 19 System Organ Classes (SOCs) and 22 Preferred Terms (PTs). Predominantly, the musculoskeletal and nervous systems were implicated in these adverse events. By conducting PT-level screening, various signals for ADEs were detected, including myalgia (ROR 30.33, PRR 28.51, IC 4.83, EBGM 28.47), arthralgia (n = 34, ROR 6.34, PRR 6.09, IC 2.61, EBGM 6.09), tendon disorders (ROR 99.57, PRR 98.75, IC 6.62, EBGM 98.28), and dizziness (ROR 3.18, PRR 3.13, IC 1.65, EBGM 3.13). Particularly noteworthy was the hypertensive crisis (ROR 28.63, PRR 28.51, IC 4.83, EBGM 28.47), which exhibited a robust signal strength, an observation previously unreported in clinical studies and drug labeling. CONCLUSION: While our results are largely consistent with the drug's specifications, several new adverse reaction signals, such as hypertensive crisis, have not been previously documented. Therefore, further investigations are necessary to assess these unlabeled adverse reactions, offering crucial support for the clinical utilization of bempedoic acid.

Anti-seizure medications-associated bladder and urethral symptoms: a pharmacovigilance analysis based on the FAERS database.

BACKGROUND: In clinical practice, observations have been made regarding bladder and urethral symptoms (BUS), notably urinary frequency and urgency, among patients prescribed the anti-seizure medication (ASM) lacosamide. However, the precise association between ASMs and BUS events in real-world settings remains elusive. RESEARCH DESIGN AND METHODS: Data from the FDA Adverse Event Reporting System (FAERS) database were employed and the analysis focused on ASMs-associated BUS events utilizing disproportionality analysis methods, including the reporting odds ratio (ROR) and the proportional reporting ratio (PRR). Furthermore, co-administration, time to onset of ASMs-associated BUS events, and severity assessments were conducted. RESULTS: Several ASMs demonstrated statistically meaningful associations with BUS signals, notably ezogabine, valproic acid/valproate sodium, and clorazepate (p < 0.05). And ASMs-associated BUS events predominantly occurred within the first week and persisted for more than 180 days afterward. Diazepam, gabapentin, and brivaracetam exhibited distinct risk profiles for severe BUS events compared to valproic acid/sodium valproate (p < 0.05). And the nomogram constructed in this study exhibited robust predictive performance. CONCLUSION: This study yields valuable insights into the association between ASMs and BUS events, but several limitations warrant consideration. Nonetheless, these findings emphasize the significance of vigilance and proactive management of ASMs-associated BUS events.